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	<updated>2026-05-08T01:55:21Z</updated>
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	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2542</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2542"/>
		<updated>2025-01-09T20:49:00Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add Michael Farley Obit&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Steve Lyons&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Grandpa Jim Lyons&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Grandma Katie Lyons&lt;br /&gt;
* Matthew Klinglesmith (Apr 8, 2013) https://www.legacy.com/us/obituaries/louisville/name/matthew-klinglesmith-obituary?id=11466220&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Angela Marie Wood - had recently met through Julie (July 18. 2015) https://www.newcomerkentuckiana.com/obituary/105934&lt;br /&gt;
* Chris Mayer (Aug 5 2015 (?)) https://www.legacy.com/us/obituaries/cincinnati/name/christopher-mayer-obituary?id=13467117&lt;br /&gt;
* Michael Farley (February 9, 2020 https://www.owenfuneralhome.com/obituaries/Michael-Farley-4/#!/TributeWall)&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evans&lt;br /&gt;
* Rachel Moter March 10, 2021 - https://www.legacy.com/us/obituaries/louisville/name/rachel-moter-obituary?id=6933356&lt;br /&gt;
* Dalaina Barrett (Mar. 21, 2021) https://www.collinsfuneralhome.net/obituaries/obituary-listings?obId=20444792&lt;br /&gt;
* Autumn Lyons - :( - https://www.newcomerkentuckiana.com/Obituary/204560/Autumn-Lyons-McCrary/Louisville-KY&lt;br /&gt;
* Michelle (Grant) Rudovich (same week as Autumn... bad week) https://www.courier-journal.com/obituaries/lcj233554&lt;br /&gt;
* Ernie Borraga https://www.legacy.com/us/obituaries/thenewsenterprise/name/ernest-borraga-jr-obituary?id=35882752&lt;br /&gt;
* Beverly Wilder - September 12, 2022 - https://www.newcomerkentuckiana.com/Obituary/254240/Beverly-Wilder/Louisville-KY - Chris Lyons&#039; wife, Christy Beth&#039;s mom&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2541</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2541"/>
		<updated>2024-06-05T14:28:14Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add citations to publications&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics (74 Citations)&lt;br /&gt;
* &amp;quot;[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]&amp;quot; - Metabolomics (2 Citations)&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne (14 Citations)&lt;br /&gt;
&lt;br /&gt;
Certifications (recent only):&lt;br /&gt;
*[https://spnbadges.snowflake.com/07ae5b85-6e16-4b32-bf69-2ca31a98e41a Snowflake Technical Sales Pro]&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://revealhealthtech.com/ Reveal HealthTech], US (Remote)&lt;br /&gt;
Director, AI Software Engineering (Mar. 2024 [Acquisition] - Present) &lt;br /&gt;
*Led the migration of a 15 person engineering team through a startup acquisition&lt;br /&gt;
*Focused on building engineering culture, excellence, and repeatable high value services delivery&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.manifold.ai/ Manifold AI], US (Remote)&lt;br /&gt;
Director, AI Solutions Labs (Mar. 2021 - Mar. 2024)&lt;br /&gt;
*Moved a 40-person AI startup through a growth period doubling our size before splitting into two entities&lt;br /&gt;
*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits&lt;br /&gt;
*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices&lt;br /&gt;
*Architected and led teams, and built software incorporating data engineering and machine learning techniques for a variety of clients and use cases:&lt;br /&gt;
**Built a PubMed database AI/LLM Based search tool to accelerate focused research&lt;br /&gt;
**Worked with [https://www.broadinstitute.org/ The Broad Institute] on a Petabyte life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data&lt;br /&gt;
**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company [https://www.cisco.com/ Cisco]&lt;br /&gt;
**Enginnered data management and feature engineering for for analysis and nanosecond scale machine learning feedback for [https://www.apple.com/ Apple&#039;s] $3.5B clickstream ad pipeline&lt;br /&gt;
**Custom NLP Application for analytics of all natural language data coming into [https://www.gene.com/ Genetech/Roche Pharmaceuticals] : AI/RAG Chat and LLM Text Summarization, Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds&lt;br /&gt;
**Growing our in-house &amp;quot;Science Cloud&amp;quot; application for research organizations (such as ACS and IU) to manage and analyze data.  Integrated NextFlow into our AWS architecture and helped integrate many ML, AI, and LLM models into our &amp;quot;App Store&amp;quot;.&lt;br /&gt;
*Personally responsible for &amp;quot;No Meeting Thursdays&amp;quot; for focused work (which is really popular) and &amp;quot;Tie Dye Fridays&amp;quot; (which will really catch on some day, I&#039;m sure)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.spacex.com/ Space Exploration Technologies (SpaceX)]	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2540</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2540"/>
		<updated>2024-06-05T14:25:11Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add Snowflake Certification&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
* &amp;quot;[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]&amp;quot; - Metabolomics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Certifications (recent only):&lt;br /&gt;
*[https://spnbadges.snowflake.com/07ae5b85-6e16-4b32-bf69-2ca31a98e41a Snowflake Technical Sales Pro]&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://revealhealthtech.com/ Reveal HealthTech], US (Remote)&lt;br /&gt;
Director, AI Software Engineering (Mar. 2024 [Acquisition] - Present) &lt;br /&gt;
*Led the migration of a 15 person engineering team through a startup acquisition&lt;br /&gt;
*Focused on building engineering culture, excellence, and repeatable high value services delivery&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.manifold.ai/ Manifold AI], US (Remote)&lt;br /&gt;
Director, AI Solutions Labs (Mar. 2021 - Mar. 2024)&lt;br /&gt;
*Moved a 40-person AI startup through a growth period doubling our size before splitting into two entities&lt;br /&gt;
*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits&lt;br /&gt;
*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices&lt;br /&gt;
*Architected and led teams, and built software incorporating data engineering and machine learning techniques for a variety of clients and use cases:&lt;br /&gt;
**Built a PubMed database AI/LLM Based search tool to accelerate focused research&lt;br /&gt;
**Worked with [https://www.broadinstitute.org/ The Broad Institute] on a Petabyte life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data&lt;br /&gt;
**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company [https://www.cisco.com/ Cisco]&lt;br /&gt;
**Enginnered data management and feature engineering for for analysis and nanosecond scale machine learning feedback for [https://www.apple.com/ Apple&#039;s] $3.5B clickstream ad pipeline&lt;br /&gt;
**Custom NLP Application for analytics of all natural language data coming into [https://www.gene.com/ Genetech/Roche Pharmaceuticals] : AI/RAG Chat and LLM Text Summarization, Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds&lt;br /&gt;
**Growing our in-house &amp;quot;Science Cloud&amp;quot; application for research organizations (such as ACS and IU) to manage and analyze data.  Integrated NextFlow into our AWS architecture and helped integrate many ML, AI, and LLM models into our &amp;quot;App Store&amp;quot;.&lt;br /&gt;
*Personally responsible for &amp;quot;No Meeting Thursdays&amp;quot; for focused work (which is really popular) and &amp;quot;Tie Dye Fridays&amp;quot; (which will really catch on some day, I&#039;m sure)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.spacex.com/ Space Exploration Technologies (SpaceX)]	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
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Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
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&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
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Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
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&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
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Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=To_Do_List&amp;diff=2539</id>
		<title>To Do List</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=To_Do_List&amp;diff=2539"/>
		<updated>2024-04-13T20:10:54Z</updated>

		<summary type="html">&lt;p&gt;Chip: /* Things to Do */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=Chip&#039;s Official To-Do List=&lt;br /&gt;
==Things to Do==&lt;br /&gt;
&lt;br /&gt;
Have a baby (Complete!  January 21, 2023 Yay little Baby Charles V!)&lt;br /&gt;
&lt;br /&gt;
Get in shape&lt;br /&gt;
&lt;br /&gt;
Run the Kentucky Derby Mini Marathon! [Complete!  April 2009, 3 hours, 35 minutes!] [And 7 times after that!]&lt;br /&gt;
&lt;br /&gt;
Be a Space Tourist (orbital flight, or the stretch goal:  Moon Landing) [Mars?]&lt;br /&gt;
&lt;br /&gt;
Buy a Fixer-Upper house (and fixer-it-up) (then sell it or torch it or rent it)&lt;br /&gt;
&lt;br /&gt;
Eventually successfully complete a NanoWrimo [Complete, Nov. 2014!] or, better, just write a book (e-books?)&lt;br /&gt;
&lt;br /&gt;
Watch a shuttle launch [Marking as a success after watching the SpaceX launch of SAOCOM 1A, Oct. 2018!]&lt;br /&gt;
&lt;br /&gt;
Buy someone a car [Complete!  Ask [[Kory]]!]&lt;br /&gt;
&lt;br /&gt;
Buy Ferf a yacht [Complete!  Ask [[Ferf]].]&lt;br /&gt;
&lt;br /&gt;
Recruit butter minions&lt;br /&gt;
&lt;br /&gt;
Swim in a pool filled with macaroni and cheese&lt;br /&gt;
&lt;br /&gt;
Retire&lt;br /&gt;
&lt;br /&gt;
==Things to Learn==&lt;br /&gt;
&lt;br /&gt;
Learn some more instruments&lt;br /&gt;
&lt;br /&gt;
Learn to Ride the Unicycle&lt;br /&gt;
&lt;br /&gt;
Learn to Juggle 5 balls&lt;br /&gt;
&lt;br /&gt;
==Songs to Learn to Play==&lt;br /&gt;
&lt;br /&gt;
Home Sweet Home (Motley Crue)&lt;br /&gt;
&lt;br /&gt;
They Can&#039;t Take That Away from Me (Frank Sinatra)&lt;br /&gt;
&lt;br /&gt;
Joy to the World (Three Dog Night)&lt;br /&gt;
&lt;br /&gt;
Something to Believe In (Poison)&lt;br /&gt;
&lt;br /&gt;
==Things to Make, Buy, Borrow, or Steal==&lt;br /&gt;
&lt;br /&gt;
Grand Piano (Complete!  And it&#039;s PURTY)&lt;br /&gt;
&lt;br /&gt;
Murhpy Bed  (Complete -- YAY!)&lt;br /&gt;
&lt;br /&gt;
A House (as in, pay-it-off) UPDATE:  I&#039;m paying for two houses now, one rented, none paid off.&lt;br /&gt;
&lt;br /&gt;
MAME Cabinet&lt;br /&gt;
&lt;br /&gt;
Sailboat&lt;br /&gt;
&lt;br /&gt;
And a Canoe or Kayak (or both!)&lt;br /&gt;
&lt;br /&gt;
A Fishtank&lt;br /&gt;
&lt;br /&gt;
A comprehensive wood shop, so&#039;s I can make lots of other stuffs&lt;br /&gt;
&lt;br /&gt;
A decent telescope&lt;br /&gt;
&lt;br /&gt;
Wooden replacement covers for the 4-color pens&lt;br /&gt;
&lt;br /&gt;
Dishes (Complete! Finally!)&lt;br /&gt;
&lt;br /&gt;
==Software to Write==&lt;br /&gt;
&lt;br /&gt;
Photomosaic Software so [[Ferf]] can use it!&lt;br /&gt;
&lt;br /&gt;
Some video game (at least one of the little addictive ones)&lt;br /&gt;
&lt;br /&gt;
Data Visualization Software (see [http://chipmonkeyscorner.blogspot.com/ ChipMonkey&#039;s Coding Corner])&lt;br /&gt;
&lt;br /&gt;
Android Retirement Calculator&lt;br /&gt;
&lt;br /&gt;
Android Fuel Mileage and Car Maintenance Tracker&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2538</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2538"/>
		<updated>2024-03-29T17:56:08Z</updated>

		<summary type="html">&lt;p&gt;Chip: Update Manifold, add Reveal, add some URLs&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
* &amp;quot;[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]&amp;quot; - Metabolomics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://revealhealthtech.com/ Reveal HealthTech], US (Remote)&lt;br /&gt;
Director, AI Software Engineering (Mar. 2024 [Acquisition] - Present) &lt;br /&gt;
*Led the migration of a 15 person engineering team through a startup acquisition&lt;br /&gt;
*Focused on building engineering culture, excellence, and repeatable high value services delivery&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.manifold.ai/ Manifold AI], US (Remote)&lt;br /&gt;
Director, AI Solutions Labs (Mar. 2021 - Mar. 2024)&lt;br /&gt;
*Moved a 40-person AI startup through a growth period doubling our size before splitting into two entities&lt;br /&gt;
*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits&lt;br /&gt;
*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices&lt;br /&gt;
*Architected and led teams, and built software incorporating data engineering and machine learning techniques for a variety of clients and use cases:&lt;br /&gt;
**Built a PubMed database AI/LLM Based search tool to accelerate focused research&lt;br /&gt;
**Worked with [https://www.broadinstitute.org/ The Broad Institute] on a Petabyte life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data&lt;br /&gt;
**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company [https://www.cisco.com/ Cisco]&lt;br /&gt;
**Enginnered data management and feature engineering for for analysis and nanosecond scale machine learning feedback for [https://www.apple.com/ Apple&#039;s] $3.5B clickstream ad pipeline&lt;br /&gt;
**Custom NLP Application for analytics of all natural language data coming into [https://www.gene.com/ Genetech/Roche Pharmaceuticals] : AI/RAG Chat and LLM Text Summarization, Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds&lt;br /&gt;
**Growing our in-house &amp;quot;Science Cloud&amp;quot; application for research organizations (such as ACS and IU) to manage and analyze data.  Integrated NextFlow into our AWS architecture and helped integrate many ML, AI, and LLM models into our &amp;quot;App Store&amp;quot;.&lt;br /&gt;
*Personally responsible for &amp;quot;No Meeting Thursdays&amp;quot; for focused work (which is really popular) and &amp;quot;Tie Dye Fridays&amp;quot; (which will really catch on some day, I&#039;m sure)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://www.spacex.com/ Space Exploration Technologies (SpaceX)]	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2537</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2537"/>
		<updated>2023-12-15T18:32:42Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add scale to Broad&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
* &amp;quot;[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]&amp;quot; - Metabolomics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Manifold AI, US (Remote)&lt;br /&gt;
Director, AI Solutions Labs (Mar. 2021 - Present)&lt;br /&gt;
*Moved a 40-person AI startup through a growth period doubling our size (and counting)&lt;br /&gt;
*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits&lt;br /&gt;
*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices&lt;br /&gt;
*Architected and built software incorporating data engineering and machine learning techniques for a variety of uses:&lt;br /&gt;
**PubMed database ML search tool to accelerate focused research&lt;br /&gt;
**Petabyte life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data&lt;br /&gt;
**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company&lt;br /&gt;
**Massive scale internet advertising data management pipelines for analysis and machine learning&lt;br /&gt;
**Custom NLP Application for analytics of all natural language data coming into a large pharmaceutical company:  Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds&lt;br /&gt;
**Growing our in-house &amp;quot;Science Cloud&amp;quot; application for research organizations to manage and analyze data.  Integrated NextFlow into our AWS architecture and helped integrate many ML models into our &amp;quot;App Store&amp;quot;.&lt;br /&gt;
*Personally responsible for &amp;quot;No Meeting Thursdays&amp;quot; for focused work (which is really popular) and &amp;quot;Tie Dye Fridays&amp;quot; (which will really catch on some day, I&#039;m sure)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2536</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2536"/>
		<updated>2023-10-04T14:32:15Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add Roche and Science Cloud&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
* &amp;quot;[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]&amp;quot; - Metabolomics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Manifold AI, US (Remote)&lt;br /&gt;
Director, AI Solutions Labs (Mar. 2021 - Present)&lt;br /&gt;
*Moved a 40-person AI startup through a growth period doubling our size (and counting)&lt;br /&gt;
*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits&lt;br /&gt;
*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices&lt;br /&gt;
*Architected and built software incorporating data engineering and machine learning techniques for a variety of uses:&lt;br /&gt;
**PubMed database ML search tool to accelerate focused research&lt;br /&gt;
**Bulk life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data&lt;br /&gt;
**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company&lt;br /&gt;
**Massive scale internet advertising data management pipelines for analysis and machine learning&lt;br /&gt;
**Custom NLP Application for analytics of all natural language data coming into a large pharmaceutical company.  Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds.&lt;br /&gt;
**Growing our in-house &amp;quot;Science Cloud&amp;quot; application for research organizations to manage and analyze data.  Integrated NextFlow into our AWS architecture and helped integrate many ML models into our &amp;quot;App Store&amp;quot;.&lt;br /&gt;
*Personally responsible for &amp;quot;No Meeting Thursdays&amp;quot; for focused work (which is really popular) and &amp;quot;Tie Dye Fridays&amp;quot; (which will really catch on some day, I&#039;m sure)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2535</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2535"/>
		<updated>2022-09-15T14:12:31Z</updated>

		<summary type="html">&lt;p&gt;Chip: Aunt Beverly&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Steve Lyons&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Grandpa Jim Lyons&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Grandma Katie Lyons&lt;br /&gt;
* Matthew Klinglesmith (Apr 8, 2013) https://www.legacy.com/us/obituaries/louisville/name/matthew-klinglesmith-obituary?id=11466220&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Angela Marie Wood - had recently met through Julie (July 18. 2015) https://www.newcomerkentuckiana.com/obituary/105934&lt;br /&gt;
* Chris Mayer (Aug 5 2015 (?)) https://www.legacy.com/us/obituaries/cincinnati/name/christopher-mayer-obituary?id=13467117&lt;br /&gt;
* Michael Farley&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evans&lt;br /&gt;
* Rachel Moter March 10, 2021 - https://www.legacy.com/us/obituaries/louisville/name/rachel-moter-obituary?id=6933356&lt;br /&gt;
* Dalaina Barrett (Mar. 21, 2021) https://www.collinsfuneralhome.net/obituaries/obituary-listings?obId=20444792&lt;br /&gt;
* Autumn Lyons - :( - https://www.newcomerkentuckiana.com/Obituary/204560/Autumn-Lyons-McCrary/Louisville-KY&lt;br /&gt;
* Michelle (Grant) Rudovich (same week as Autumn... bad week) https://www.courier-journal.com/obituaries/lcj233554&lt;br /&gt;
* Ernie Borraga https://www.legacy.com/us/obituaries/thenewsenterprise/name/ernest-borraga-jr-obituary?id=35882752&lt;br /&gt;
* Beverly Wilder - September 12, 2022 - https://www.newcomerkentuckiana.com/Obituary/254240/Beverly-Wilder/Louisville-KY - Chris Lyons&#039; wife, Christy Beth&#039;s mom&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2534</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2534"/>
		<updated>2022-09-15T14:09:43Z</updated>

		<summary type="html">&lt;p&gt;Chip: Protected &amp;quot;Friends Who Have Passed&amp;quot;: Private page ([Edit=Allow only administrators] (indefinite) [Move=Allow only administrators] (indefinite))&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Steve Lyons&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Grandpa Jim Lyons&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Grandma Katie Lyons&lt;br /&gt;
* Matthew Klinglesmith (Apr 8, 2013) https://www.legacy.com/us/obituaries/louisville/name/matthew-klinglesmith-obituary?id=11466220&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Angela Marie Wood - had recently met through Julie (July 18. 2015) https://www.newcomerkentuckiana.com/obituary/105934&lt;br /&gt;
* Chris Mayer (Aug 5 2015 (?)) https://www.legacy.com/us/obituaries/cincinnati/name/christopher-mayer-obituary?id=13467117&lt;br /&gt;
* Michael Farley&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evans&lt;br /&gt;
* Rachel Moter&lt;br /&gt;
* Dalaina Barrett (Mar. 21, 2021) https://www.collinsfuneralhome.net/obituaries/obituary-listings?obId=20444792&lt;br /&gt;
* Autumn Lyons - :( - https://www.newcomerkentuckiana.com/Obituary/204560/Autumn-Lyons-McCrary/Louisville-KY&lt;br /&gt;
* Michelle (Grant) Rudovich (same week as Autumn... bad week) https://www.courier-journal.com/obituaries/lcj233554&lt;br /&gt;
* Ernie Borraga https://www.legacy.com/us/obituaries/thenewsenterprise/name/ernest-borraga-jr-obituary?id=35882752&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2533</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2533"/>
		<updated>2022-08-06T21:42:18Z</updated>

		<summary type="html">&lt;p&gt;Chip: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Steve Lyons&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Grandpa Jim Lyons&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Grandma Katie Lyons&lt;br /&gt;
* Matthew Klinglesmith (Apr 8, 2013) https://www.legacy.com/us/obituaries/louisville/name/matthew-klinglesmith-obituary?id=11466220&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Angela Marie Wood - had recently met through Julie (July 18. 2015) https://www.newcomerkentuckiana.com/obituary/105934&lt;br /&gt;
* Chris Mayer (Aug 5 2015 (?)) https://www.legacy.com/us/obituaries/cincinnati/name/christopher-mayer-obituary?id=13467117&lt;br /&gt;
* Michael Farley&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evans&lt;br /&gt;
* Rachel Moter&lt;br /&gt;
* Dalaina Barrett (Mar. 21, 2021) https://www.collinsfuneralhome.net/obituaries/obituary-listings?obId=20444792&lt;br /&gt;
* Autumn Lyons - :( - https://www.newcomerkentuckiana.com/Obituary/204560/Autumn-Lyons-McCrary/Louisville-KY&lt;br /&gt;
* Michelle (Grant) Rudovich (same week as Autumn... bad week) https://www.courier-journal.com/obituaries/lcj233554&lt;br /&gt;
* Ernie Borraga https://www.legacy.com/us/obituaries/thenewsenterprise/name/ernest-borraga-jr-obituary?id=35882752&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2532</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2532"/>
		<updated>2022-08-01T18:11:47Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add Ernie, update some links&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Steve Lyons&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Grandpa Jim Lyons&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Grandma Katie Lyons&lt;br /&gt;
* Matthew Klinglesmith (Apr 8, 2013) https://www.legacy.com/us/obituaries/louisville/name/matthew-klinglesmith-obituary?id=11466220&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Chris Mayer&lt;br /&gt;
* Michael Farley&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evans&lt;br /&gt;
* Rachel Moter&lt;br /&gt;
* Dalaina Barrett (Mar. 21, 2021) https://www.collinsfuneralhome.net/obituaries/obituary-listings?obId=20444792&lt;br /&gt;
* Autumn Lyons - :( - https://www.newcomerkentuckiana.com/Obituary/204560/Autumn-Lyons-McCrary/Louisville-KY&lt;br /&gt;
* Michelle (Grant) Rudovich (same week as Autumn... bad week) https://www.courier-journal.com/obituaries/lcj233554&lt;br /&gt;
* Ernie Borraga https://www.legacy.com/us/obituaries/thenewsenterprise/name/ernest-borraga-jr-obituary?id=35882752&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2531</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2531"/>
		<updated>2022-05-04T16:43:21Z</updated>

		<summary type="html">&lt;p&gt;Chip: Spacing&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
* &amp;quot;[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]&amp;quot; - Metabolomics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Manifold AI, US (Remote)&lt;br /&gt;
Director, AI Solutions Labs (Mar. 2021 - Present)&lt;br /&gt;
*Moved a 40-person AI startup through a growth period doubling our size (and counting)&lt;br /&gt;
*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits&lt;br /&gt;
*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices&lt;br /&gt;
*Architected and built software incorporating data engineering and machine learning techniques for a variety of uses:&lt;br /&gt;
**PubMed database ML search tool to accelerate focused research&lt;br /&gt;
**Bulk life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data&lt;br /&gt;
**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company&lt;br /&gt;
**Massive scale internet advertising data management pipelines for analysis and machine learning&lt;br /&gt;
*Personally responsible for &amp;quot;No Meeting Thursdays&amp;quot; for focused work (which is really popular) and &amp;quot;Tie Dye Fridays&amp;quot; (which will really catch on some day, I&#039;m sure)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2530</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2530"/>
		<updated>2022-05-04T16:35:40Z</updated>

		<summary type="html">&lt;p&gt;Chip: Thursday and Friday&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
* &amp;quot;[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]&amp;quot; - Metabolomics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Manifold AI, US (Remote)&lt;br /&gt;
Director, AI Solutions Labs (Mar. 2021 - Present)&lt;br /&gt;
*Moved a 40-person AI startup through a growth period doubling our size (and counting)&lt;br /&gt;
*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits&lt;br /&gt;
*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices&lt;br /&gt;
*Architected and built software incorporating data engineering and machine learning techniques for a variety of uses:&lt;br /&gt;
**PubMed database ML search tool to accelerate focused research&lt;br /&gt;
**Bulk life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data&lt;br /&gt;
**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company&lt;br /&gt;
**Massive scale internet advertising data management pipelines for analysis and machine learning&lt;br /&gt;
*Personally responsible for &amp;quot;No Meeting Thursdays&amp;quot; for focused work (which is really popular) and &amp;quot;Tie Dye Fridays&amp;quot; (which will really catch on some day, I&#039;m sure)&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2529</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2529"/>
		<updated>2022-05-03T15:16:47Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add Manifold&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
* &amp;quot;[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]&amp;quot; - Metabolomics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Manifold AI, US (Remote)&lt;br /&gt;
Director, AI Solutions Labs (Mar. 2021 - Present)&lt;br /&gt;
*Moved a 40-person AI startup through a growth period doubling our size (and counting)&lt;br /&gt;
*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits&lt;br /&gt;
*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices&lt;br /&gt;
*Architected and built software incorporating data engineering and machine learning techniques for a variety of uses:&lt;br /&gt;
**PubMed database ML search tool to accelerate focused research&lt;br /&gt;
**Bulk life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data&lt;br /&gt;
**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company&lt;br /&gt;
**Massive scale internet advertising data management pipelines for analysis and machine learning&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2528</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2528"/>
		<updated>2021-12-21T01:25:50Z</updated>

		<summary type="html">&lt;p&gt;Chip: Tweak some devops language to add specific tools&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
* &amp;quot;[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]&amp;quot; - Metabolomics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - Present)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Wood_Projects&amp;diff=2527</id>
		<title>Wood Projects</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Wood_Projects&amp;diff=2527"/>
		<updated>2021-12-20T20:32:23Z</updated>

		<summary type="html">&lt;p&gt;Chip: edits&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=Things Chip has made in his little workshop:=&lt;br /&gt;
(possibly chronologically ordered)&lt;br /&gt;
&lt;br /&gt;
*Heart Inlaid Box -- 2007, Pine, RedHeart - Gift&lt;br /&gt;
&lt;br /&gt;
*Baseball Bat 2008 -- Ash, Unfinished - Birthday Present for Michael Koch&lt;br /&gt;
*Baseball Bat 2008 -- Ash, Unfinished - Birthday Present for Brian Helfrich&lt;br /&gt;
*Baseball Bat 2008 -- Ash, Unfinished - Birthday Present for Joe&lt;br /&gt;
&lt;br /&gt;
*Chess Board 2008, Spalted Maple and RedHeart, PolyCrylic finish - Gift for Dad&lt;br /&gt;
&lt;br /&gt;
*Bowl -- 2008, 6&amp;quot; diameter, PurpleHeart, Flaxseed Oil Finish - Birthday Present for Karen Koch&lt;br /&gt;
&lt;br /&gt;
*Rolling Pin 2008, Birch, Turned Green, Pentacryl dried, Gift&lt;br /&gt;
&lt;br /&gt;
*Pen -- August, 2008, Red Palm [nb:  This wood is awesome!], Renaissance Wax Finish, Birthday Present for Joe&lt;br /&gt;
*Pen -- August, 2008, ZebraWood, Renaissance Wax Finish, Present for Pete Bell upon having his first kiddo&lt;br /&gt;
*Pen -- August, 2008, Acrylic, didn&#039;t really go that well&lt;br /&gt;
*Pen -- August, 2008, Laminated RedHeart and Spalted Maple, Renaissance Wax finish, Gift for Jen at BeaverVu Bowling since hers didn&#039;t work&lt;br /&gt;
*Pen -- September, 2008, Coconut Red Palm, Hut Wax finish, Gift for Stephanie Tubbs&#039; Birthday&lt;br /&gt;
&lt;br /&gt;
*Bowl -- October, 2008, 6&amp;quot; diameter, Yellow Heart, unfinished&lt;br /&gt;
*Bowl -- October, 2008, 6&amp;quot; diameter, Black and White Synthetic wood, Spray Lacquer finish&lt;br /&gt;
&lt;br /&gt;
*Trinket -- Tiny captured ring chalice shape&lt;br /&gt;
&lt;br /&gt;
*Pen -- July, 2009, Patterned laminate wood, Cloth Applied Lacquer Finish&lt;br /&gt;
*Candle Holder -- July, 2009, Brazilian Rosewood, holds 4&amp;quot; and 3&amp;quot; candles, Gift for Cathy Thompson&lt;br /&gt;
*Pen -- July, 2009, Cocobolo, hard Two Part Wax Finish, Birthday Present for Jack Koch&lt;br /&gt;
&lt;br /&gt;
*Rolling Pin -- May, 2011, Ash (from back yard), Pentacryl, for Me&lt;br /&gt;
*Bowl -- May, 2011, Osage Orange, Two Part Wax Finish&lt;br /&gt;
&lt;br /&gt;
*Bench -- July 2013, Pine 2x4s cut and screwed all purty like&lt;br /&gt;
*Eric&#039;s Media Center Stand (made with Eric) -- June 2013, Birch plywood with steel threaded rods for legs and nice nuts, washers, and bolts&lt;br /&gt;
*Finished (previous) Chess Board -- July 2013, with cedar edges and maple curved feet - Christmas 2013 Gift for Dad&lt;br /&gt;
&lt;br /&gt;
*Trash Can Holder, Cedar and Pine -- September 2014&lt;br /&gt;
*Box for [http://jchutchins.net/ Chris Hutchins] for his Golem Arcana collection -- Cedar from CedarUSA, October 2014&lt;br /&gt;
*Mustache trinket costume props for Halloween 2014&lt;br /&gt;
*Hedgehog Gift Card Holders for Diane, Karen, Dawn, and Danette (Koch Family&#039;s November Birthdays) -- Cedar November 2014&lt;br /&gt;
*Bowl for Danielle -- Cedar, Mesquite, and Maple; my first glued up bowl -- November 2014&lt;br /&gt;
*Cocktail Muddler -- November 2014, 6&amp;quot; long of coconut palm, gift&lt;br /&gt;
*Several snowmen with hats -- Late 2014, various sizes and shapes mostly maple as Christmas gifts&lt;br /&gt;
*Thomas the Train bed -- November 2014 for Ferf&#039;s son Isaac (commissioned) Plywood and pine mostly&lt;br /&gt;
&lt;br /&gt;
=Things Other People have made:=&lt;br /&gt;
&lt;br /&gt;
*Kory:  Pen (2008, Cocobolo, Wax Finish)&lt;br /&gt;
*Eric:  Chess Set, 2008-2009, Basswood Scroll Sawed&lt;br /&gt;
&lt;br /&gt;
*Joe has made lots of stuff, but I can&#039;t really enumerate them, and he makes a lot of cool wood stuff outside the shop.  Joe can add stuff here if he wants though!&lt;br /&gt;
&lt;br /&gt;
=Things Chip should make but hasn&#039;t yet:=&lt;br /&gt;
&lt;br /&gt;
*Spinning Tops&lt;br /&gt;
*Kendama&lt;br /&gt;
*Spheres&lt;br /&gt;
*Kayaks and Canoes&lt;br /&gt;
*Wooden Bicycles&lt;br /&gt;
*Ring Holders&lt;br /&gt;
*Baby Rattles&lt;br /&gt;
*Juggling Clubs or Torches&lt;br /&gt;
*Rolling Pins&lt;br /&gt;
*Wine Bottle Toppers&lt;br /&gt;
*Christmas Ornaments (see http://www.nancy-arn.com/wood_turning_projects.htm)&lt;br /&gt;
*Gavel&lt;br /&gt;
*Coasters&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Video_Games&amp;diff=2526</id>
		<title>Video Games</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Video_Games&amp;diff=2526"/>
		<updated>2021-11-27T22:36:04Z</updated>

		<summary type="html">&lt;p&gt;Chip: update&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;===Games Chip Has Played===&lt;br /&gt;
&lt;br /&gt;
I actually don&#039;t remember what the first video game was that I felt a solid sense of accomplishment when I finished it, but it probably fell sometime around the Castle Wolfenstein era.  Prior to that, I completely failed to win NetHack, and a gazillion other games like it, OR I would finish a game and not think much of it.  Mostly, though, games didn&#039;t really &amp;quot;end&amp;quot;.  Arcade games went on forever, or at least as forever as matters.  Asteroids is the most vivid memory I have, having once skipped church to play for hours and hours on a Sunday... that game would NOT end.  Dragon&#039;s Lair may be a notable exception, although I never finished it in the arcade; only years later when a PC version came out and I wasn&#039;t at risk of losing weeks of begged/borrowed/stolen quarters and possibly not finishing anyway did I finally slay the dragon.  Of note, even a few dozen attempts later I could never duplicate the feat.&lt;br /&gt;
&lt;br /&gt;
Anyway, here&#039;s a list, definitely incomplete, of games I&#039;ve finished, or at least played very thoroughly.  Mostly I&#039;m doing this to keep track of the ones I OWN that I haven&#039;t finished, so that I can motivate myself to make the most of my video game investment, but it&#039;s also indirectly a good list of my all-time favorites.&lt;br /&gt;
&lt;br /&gt;
==PC Games==&lt;br /&gt;
&amp;lt;UL&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;NeverWinter Nights&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Half Life 2&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Sam and Max Hit the Road&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Escape from Monkey Island&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Star Control II&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Castle Wolfenstein&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Civilization&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Civilization II&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;DOOM&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;DOOM II&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;DOOM 3&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Dragon&#039;s Lair&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Quake&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Quake II&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Quake 4&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Far Cry&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Mass Effect&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Mass Effect II&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Mass Effect III&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Kerbal&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;...&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;/UL&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Playstation (2 &amp;amp; 3) Games==&lt;br /&gt;
&amp;lt;UL&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;[[God of War]]&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Ratchet and Clank&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Ratchet and Clank: Going Commando&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;[[Ratchet &amp;amp; Clank Future: Tools of Destruction]]&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Final Fantasy VII&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Final Fantasy IX&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Final Fantasy X&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;[[Ace Combat 5]]&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Beat Saber&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;...&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;/UL&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Video_Games&amp;diff=2525</id>
		<title>Video Games</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Video_Games&amp;diff=2525"/>
		<updated>2021-11-27T22:35:26Z</updated>

		<summary type="html">&lt;p&gt;Chip: Updates&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;===Games Chip Has Played===&lt;br /&gt;
&lt;br /&gt;
I actually don&#039;t remember what the first video game was that I felt a solid sense of accomplishment when I finished it, but it probably fell sometime around the Castle Wolfenstein era.  Prior to that, I completely failed to win NetHack, and a gazillion other games like it, OR I would finish a game and not think much of it.  Mostly, though, games didn&#039;t really &amp;quot;end&amp;quot;.  Arcade games went on forever, or at least as forever as matters.  Asteroids is the most vivid memory I have, having once skipped church to play for hours and hours on a Sunday... that game would NOT end.  Dragon&#039;s Lair may be a notable exception, although I never finished it in the arcade; only years later when a PC version came out and I wasn&#039;t at risk of losing weeks of begged/borrowed/stolen quarters and possibly not finishing anyway did I finally slay the dragon.  Of note, even a few dozen attempts later I could never duplicate the feat.&lt;br /&gt;
&lt;br /&gt;
Anyway, here&#039;s a list, definitely incomplete, of games I&#039;ve finished, or at least played very thoroughly.  Mostly I&#039;m doing this to keep track of the ones I OWN that I haven&#039;t finished, so that I can motivate myself to make the most of my video game investment, but it&#039;s also indirectly a good list of my all-time favorites.&lt;br /&gt;
&lt;br /&gt;
==PC Games==&lt;br /&gt;
&amp;lt;UL&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;NeverWinter Nights&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Half Life 2&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Sam and Max Hit the Road&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Escape from Monkey Island&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Star Control II&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Castle Wolfenstein&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Civilization&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Civilization II&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;DOOM&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;DOOM II&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;DOOM 3&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Dragon&#039;s Lair&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Quake&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Quake II&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Quake 4&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Far Cry&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Mass Effect&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Mass Effect II&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Mass Effect III&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Kerbal&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;...&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;/UL&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Playstation (2 &amp;amp; 3) Games==&lt;br /&gt;
&amp;lt;UL&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;[[God of War]]&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Ratchet and Clank&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Ratchet and Clank: Going Commando&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;[[Ratchet &amp;amp; Clank Future: Tools of Destruction]]&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Final Fantasy VII&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Final Fantasy IX&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;Final Fantasy X&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;[[Ace Combat 5]]&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;LI&amp;gt;...&amp;lt;/LI&amp;gt;&lt;br /&gt;
&amp;lt;/UL&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2524</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2524"/>
		<updated>2021-09-27T14:11:43Z</updated>

		<summary type="html">&lt;p&gt;Chip: Added Autumn&amp;#039;s Obit&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Steve Lyons&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Grandpa Jim Lyons&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Grandma Katie Lyons&lt;br /&gt;
* Matthew Klinglesmith&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Chris Mayer&lt;br /&gt;
* Michael Farley&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evans&lt;br /&gt;
* Rachel Moter&lt;br /&gt;
* Dalaina Barrett (Mar. 21, 2021) https://www.collinsfuneralhome.net/obituaries/obituary-listings?obId=20444792&lt;br /&gt;
* Autumn Lyons - :( - https://www.newcomerkentuckiana.com/Obituary/204560/Autumn-Lyons-McCrary/Louisville-KY&lt;br /&gt;
* Michelle (Grant) Rudovich (same week as Autumn... bad week)&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2523</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2523"/>
		<updated>2021-09-26T22:18:26Z</updated>

		<summary type="html">&lt;p&gt;Chip: Autumn and Michelle&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Steve Lyons&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Grandpa Jim Lyons&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Grandma Katie Lyons&lt;br /&gt;
* Matthew Klinglesmith&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Chris Mayer&lt;br /&gt;
* Michael Farley&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evans&lt;br /&gt;
* Rachel Moter&lt;br /&gt;
* Dalaina Barrett (Mar. 21, 2021) https://www.collinsfuneralhome.net/obituaries/obituary-listings?obId=20444792&lt;br /&gt;
* Autumn Lyons - :(&lt;br /&gt;
* Michelle (Grant) Rudovich (same week as Autumn... bad week)&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Vim_Tidbits&amp;diff=2522</id>
		<title>Vim Tidbits</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Vim_Tidbits&amp;diff=2522"/>
		<updated>2021-09-13T16:16:12Z</updated>

		<summary type="html">&lt;p&gt;Chip: Starting vim notes&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==Navigation Things I Forget==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+Windows&lt;br /&gt;
|-&lt;br /&gt;
|ctrl+w hjkl&lt;br /&gt;
|Move between windows&lt;br /&gt;
|-&lt;br /&gt;
|ctrl+w T&lt;br /&gt;
|Move window to tab&lt;br /&gt;
|-&lt;br /&gt;
|gt gT nnngt&lt;br /&gt;
|go to previous/next/nnnth tab&lt;br /&gt;
|-&lt;br /&gt;
|sp / vs&lt;br /&gt;
|split or vertical split window&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+ Sessions&lt;br /&gt;
|-&lt;br /&gt;
|:mksession&lt;br /&gt;
|Save session to Session.vim&lt;br /&gt;
|-&lt;br /&gt;
|:mksession!&lt;br /&gt;
|Overwrite existing saved session&lt;br /&gt;
|-&lt;br /&gt;
|:qa :wqa&lt;br /&gt;
|quit all tabs and windows (optionally write first)&lt;br /&gt;
|-&lt;br /&gt;
|vim -S Session.vim&lt;br /&gt;
|Load session from Session.vim&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Main_Page&amp;diff=2521</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Main_Page&amp;diff=2521"/>
		<updated>2021-09-13T00:19:16Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add vim&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;big&amp;gt;&#039;&#039;&#039;ChipWiki is fully operational!&#039;&#039;&#039;&amp;lt;/big&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Or at least I hope so.  Not sure what I&#039;m going to do about it, of course.  Here&#039;s some useful stuff that shipped with the front page...  when I figure out how to change the navigation and toolbox sidebars, I&#039;ll probably move this stuff there.  Of course, then I&#039;ll have to come up with some real content for the main page.  Sheesh.&lt;br /&gt;
&lt;br /&gt;
== Links about Chip ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Chip&#039;s Resume]] (Not that I need a job, but you know, just in case)&lt;br /&gt;
&lt;br /&gt;
[[ChipLynch.com|About ChipLynch.com]]&lt;br /&gt;
&lt;br /&gt;
[[Good Ideas|Some ideas running around in my head]]&lt;br /&gt;
&lt;br /&gt;
[[To Do List|Chip&#039;s To Do List]]&lt;br /&gt;
&lt;br /&gt;
[[Video Games|A Place for Chip to talk about Video Games]]&lt;br /&gt;
&lt;br /&gt;
[[Wood Projects|Things Chip has Made in his budding Wood Shop]]&lt;br /&gt;
&lt;br /&gt;
[[Coding Projects|Personal coding projects that I may never finish.  Or start.]]&lt;br /&gt;
&lt;br /&gt;
[[Recipes|Chip&#039;s Recipes]]&lt;br /&gt;
&lt;br /&gt;
[http://www.facebook.com/chip.lynch Chip&#039;s Facebook Page]&lt;br /&gt;
&lt;br /&gt;
[http://www.linkedin.com/pub/chip-lynch/2/9a/b45 Chip&#039;s LinkedIn Page]&lt;br /&gt;
&lt;br /&gt;
== Learn About Wifey ==&lt;br /&gt;
&lt;br /&gt;
[[Mary Ann Lynch]]&lt;br /&gt;
&lt;br /&gt;
== Technical Tidbits ==&lt;br /&gt;
&lt;br /&gt;
[[Development Tidbits]]&lt;br /&gt;
&lt;br /&gt;
[[Git Tidbits]]&lt;br /&gt;
&lt;br /&gt;
[[Go Tidbits]]&lt;br /&gt;
&lt;br /&gt;
[[Python Tidbits]]&lt;br /&gt;
&lt;br /&gt;
[[Oracle Tidbits]]&lt;br /&gt;
&lt;br /&gt;
[[Teradata Tidbits]]&lt;br /&gt;
&lt;br /&gt;
[[Informatica Standards]]&lt;br /&gt;
&lt;br /&gt;
[[Microsoft Tidbits]]&lt;br /&gt;
&lt;br /&gt;
[[Linux Tidbits]]&lt;br /&gt;
&lt;br /&gt;
[[Vim Tidbits]]&lt;br /&gt;
&lt;br /&gt;
[[Windows Desktop Software]]&lt;br /&gt;
&lt;br /&gt;
== MediaWiki Links ==&lt;br /&gt;
&lt;br /&gt;
Consult the [http://meta.wikipedia.org/wiki/MediaWiki_User%27s_Guide User&#039;s Guide] for information on using the wiki software.&lt;br /&gt;
&lt;br /&gt;
== Getting started ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.mediawiki.org/wiki/Help:Configuration_settings Configuration settings list]&lt;br /&gt;
* [http://www.mediawiki.org/wiki/Help:FAQ MediaWiki FAQ]&lt;br /&gt;
* [http://mail.wikipedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2520</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2520"/>
		<updated>2021-04-26T23:44:23Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add Metabolomics publication&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
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Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
* &amp;quot;[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]&amp;quot; - Metabolomics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
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Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - Present)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-level dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
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Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
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Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
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Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
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Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
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FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
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US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
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Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
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City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
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National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
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US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
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City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
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Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
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Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
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Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
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Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
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Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
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Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
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Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2519</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2519"/>
		<updated>2021-04-21T22:46:34Z</updated>

		<summary type="html">&lt;p&gt;Chip: added grandma and grandpa&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Steve Lyons&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Grandpa Jim Lyons&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Grandma Katie Lyons&lt;br /&gt;
* Matthew Klinglesmith&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Chris Mayer&lt;br /&gt;
* Michael Farley&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evans&lt;br /&gt;
* Rachel Moter&lt;br /&gt;
* Dalaina Barrett (Mar. 21, 2021) https://www.collinsfuneralhome.net/obituaries/obituary-listings?obId=20444792&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2518</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2518"/>
		<updated>2021-04-05T22:26:12Z</updated>

		<summary type="html">&lt;p&gt;Chip: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Steve Lyons&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Matthew Klinglesmith&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Chris Mayer&lt;br /&gt;
* Michael Farley&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evans&lt;br /&gt;
* Rachel Moter&lt;br /&gt;
* Dalaina Barrett (Mar. 21, 2021) https://www.collinsfuneralhome.net/obituaries/obituary-listings?obId=20444792&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2517</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2517"/>
		<updated>2021-04-05T22:25:04Z</updated>

		<summary type="html">&lt;p&gt;Chip: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Matthew Klinglesmith&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Chris Mayer&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evans&lt;br /&gt;
* Rachel Moter&lt;br /&gt;
* Dalaina Barrett (Mar. 21, 2021)&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2516</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2516"/>
		<updated>2021-03-20T02:55:22Z</updated>

		<summary type="html">&lt;p&gt;Chip: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely - Everyone remembers her. My first real friend who passed.&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Matthew Klinglesmith&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Chris Mayer&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Scott Evand&lt;br /&gt;
* Rachel Moter&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2515</id>
		<title>Friends Who Have Passed</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Friends_Who_Have_Passed&amp;diff=2515"/>
		<updated>2021-03-15T00:38:55Z</updated>

		<summary type="html">&lt;p&gt;Chip: First list&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;I don&#039;t want anyone to think this is morbid, which is why the page is private, but at the same time I&#039;ve needed a place for some time to keep track of those in my life who have passed; there&#039;s no particularly better way to do that, I think, than a page here, so this was the choice I made.&lt;br /&gt;
&lt;br /&gt;
These were people who touched me and were at some point, important to me.  Some days I miss them; some days I feel bad for not remembering them.&lt;br /&gt;
&lt;br /&gt;
* Great Grandma Eggleton&lt;br /&gt;
* Donnie ? -- Highland middle, kid had some learning disabilities, I worked with him a while before he died in strange circumstances - hit by a truck that I feel like was driven by someone he knew.&lt;br /&gt;
* Amy Joann McNeely&lt;br /&gt;
* Christine Taaffe&lt;br /&gt;
* Kim Sampson&lt;br /&gt;
* Stephen Hollinden&lt;br /&gt;
* Chris Mayer&lt;br /&gt;
* Jeff Hill&lt;br /&gt;
* Rachel Moter&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2514</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2514"/>
		<updated>2021-02-25T19:44:46Z</updated>

		<summary type="html">&lt;p&gt;Chip: minor tweaks&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - Present)&lt;br /&gt;
*Led the &amp;quot;Build and Launch&amp;quot; DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-level dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2513</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2513"/>
		<updated>2021-01-07T02:31:09Z</updated>

		<summary type="html">&lt;p&gt;Chip: python dev note&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - Present)&lt;br /&gt;
*Led a DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in PYthon with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-level dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical (it&#039;s used to calculate optimal rotations for, hypothetically, pointing lasers at things)&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2512</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2512"/>
		<updated>2021-01-02T08:58:37Z</updated>

		<summary type="html">&lt;p&gt;Chip: added some links&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - Present)&lt;br /&gt;
*Led a DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in PYthon with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-level dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure&lt;br /&gt;
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2511</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2511"/>
		<updated>2021-01-02T08:17:14Z</updated>

		<summary type="html">&lt;p&gt;Chip: added on-prem to Borg notes&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - Present)&lt;br /&gt;
*Led a DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in PYthon with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-level dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2- and 3-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported material missing and transported in violation of procedure&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - (mostly positive, some negative coverage of our super large projects)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2510</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2510"/>
		<updated>2021-01-02T07:50:15Z</updated>

		<summary type="html">&lt;p&gt;Chip: added some personal highlights&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - Present)&lt;br /&gt;
*Led a DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in PYthon with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-level dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical&lt;br /&gt;
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
* Personal highlights:&lt;br /&gt;
** Briefing 2- and 3-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported material missing and transported in violation of procedure&lt;br /&gt;
** Coming up with a 7-level data quality framework that I still use&lt;br /&gt;
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)&lt;br /&gt;
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems&lt;br /&gt;
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines&lt;br /&gt;
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months&lt;br /&gt;
** (Attempting to) catalog every data system within the USAF&lt;br /&gt;
** Seeing national news articles about our work - (mostly positive, some negative coverage of our super large projects)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Nestmann_Cream_Cheese_Braid&amp;diff=2509</id>
		<title>Nestmann Cream Cheese Braid</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Nestmann_Cream_Cheese_Braid&amp;diff=2509"/>
		<updated>2020-12-21T20:32:52Z</updated>

		<summary type="html">&lt;p&gt;Chip: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==Cream Cheese Braid (that you don&#039;t braid)==&lt;br /&gt;
&#039;&#039;&#039;Dough:&#039;&#039;&#039;&lt;br /&gt;
      8 oz Sour Cream Scalded&lt;br /&gt;
      1/2 Cup Sugar&lt;br /&gt;
      1/2 Cup Butter Melted&lt;br /&gt;
      1 tsp Salt&lt;br /&gt;
      2 Pkg Dry Yeast&lt;br /&gt;
      1/2 cup warm water (105-115 d)&lt;br /&gt;
      2 eggs beaten&lt;br /&gt;
      4 cups all purpose flour&lt;br /&gt;
      Filling (recipe follows)&lt;br /&gt;
      Glaze (recipe follows)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Makes 4 12-inch loaves&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Combine scalded sour cream, sugar, butter, salt.&lt;br /&gt;
Mix well.&lt;br /&gt;
And let cool to lukewarm.&lt;br /&gt;
&lt;br /&gt;
Dissolve yeast in warm water in large bowl.&lt;br /&gt;
Stir in sour cream mixture and eggs.&lt;br /&gt;
&lt;br /&gt;
Gradually stir in flour.  Dough will be soft.&lt;br /&gt;
&lt;br /&gt;
Cover tightly and chill overnight.&lt;br /&gt;
&lt;br /&gt;
Divide dough into four equal portions.  Turn each onto a heavily floured surface.  Knead four or five times.&lt;br /&gt;
&lt;br /&gt;
Roll each into a 12x8 inch rectangle.&lt;br /&gt;
Spread 1/4 of filling on each rectangle leaving a 1/2 inch margin around edges.&lt;br /&gt;
Carefully roll up in jelly roll fashion, beginning at long side.&lt;br /&gt;
Finally, pinch edge and ends to seal.&lt;br /&gt;
&lt;br /&gt;
Carefully place roll seam down on greased baking sheet.&lt;br /&gt;
Make six equally spaced x-spaced cuts on top of each loaf.&lt;br /&gt;
Cover and let rise in a warm place (85 degrees) free of drafts for one hour or until doubled in bulk.&lt;br /&gt;
Bake at 375 degrees for 15 to 20 minutes.&lt;br /&gt;
Spread loaves with glaze while warm.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Filling:&#039;&#039;&#039;&lt;br /&gt;
      Two 8 oz packages of cream cheese, softened&lt;br /&gt;
      3/4 cup sugar&lt;br /&gt;
      1 egg beaten&lt;br /&gt;
      1/8 tsp Salt&lt;br /&gt;
      2 tsp Vanilla extract&lt;br /&gt;
&lt;br /&gt;
Combine all ingredients.&lt;br /&gt;
Process in Food Processor or electric mixer until well blended.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Glaze:&#039;&#039;&#039;&lt;br /&gt;
      2 cups sifted powdered sugar&lt;br /&gt;
      1/4 cup milk&lt;br /&gt;
      2 tsp vanilla extract&lt;br /&gt;
&lt;br /&gt;
Combine all ingredients, mixing well.&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Nestmann_Cream_Cheese_Braid&amp;diff=2508</id>
		<title>Nestmann Cream Cheese Braid</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Nestmann_Cream_Cheese_Braid&amp;diff=2508"/>
		<updated>2020-12-20T21:29:01Z</updated>

		<summary type="html">&lt;p&gt;Chip: Fixed sour cream measurement&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==Cream Cheese Braid==&lt;br /&gt;
&#039;&#039;&#039;Dough:&#039;&#039;&#039;&lt;br /&gt;
      8 oz Sour Cream Scalded&lt;br /&gt;
      1/2 Cup Sugar&lt;br /&gt;
      1/2 Cup Butter Melted&lt;br /&gt;
      1 tsp Salt&lt;br /&gt;
      2 Pkg Dry Yeast&lt;br /&gt;
      1/2 cup warm water (105-115 d)&lt;br /&gt;
      2 eggs beaten&lt;br /&gt;
      4 cups all purpose flour&lt;br /&gt;
      Filling (recipe follows)&lt;br /&gt;
      Glaze (recipe follows)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Makes 4 12-inch loaves&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Combine scalded sour cream, sugar, butter, salt.&lt;br /&gt;
Mix well.&lt;br /&gt;
And let cool to lukewarm.&lt;br /&gt;
&lt;br /&gt;
Dissolve yeast in warm water in large bowl.&lt;br /&gt;
Stir in sour cream mixture and eggs.&lt;br /&gt;
&lt;br /&gt;
Gradually stir in flour.  Dough will be soft.&lt;br /&gt;
&lt;br /&gt;
Cover tightly and chill overnight.&lt;br /&gt;
&lt;br /&gt;
Divide dough into four equal portions.  Turn each onto a heavily floured surface.  Knead four or five times.&lt;br /&gt;
&lt;br /&gt;
Roll each into a 12x8 inch rectangle.&lt;br /&gt;
Spread 1/4 of filling on each rectangle leaving a 1/2 inch margin around edges.&lt;br /&gt;
Carefully roll up in jelly roll fashion, beginning at long side.&lt;br /&gt;
Finally, pinch edge and ends to seal.&lt;br /&gt;
&lt;br /&gt;
Carefully place roll seam down on greased baking sheet.&lt;br /&gt;
Make six equally spaced x-spaced cuts on top of each loaf.&lt;br /&gt;
Cover and let rise in a warm place (85 degrees) free of drafts for one hour or until doubled in bulk.&lt;br /&gt;
Bake at 375 degrees for 15 to 20 minutes.&lt;br /&gt;
Spread loaves with glaze while warm.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Filling:&#039;&#039;&#039;&lt;br /&gt;
      Two 8 oz packages of cream cheese, softened&lt;br /&gt;
      3/4 cup sugar&lt;br /&gt;
      1 egg beaten&lt;br /&gt;
      1/8 tsp Salt&lt;br /&gt;
      2 tsp Vanilla extract&lt;br /&gt;
&lt;br /&gt;
Combine all ingredients.&lt;br /&gt;
Process in Food Processor or electric mixer until well blended.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Glaze:&#039;&#039;&#039;&lt;br /&gt;
      2 cups sifted powdered sugar&lt;br /&gt;
      1/4 cup milk&lt;br /&gt;
      2 tsp vanilla extract&lt;br /&gt;
&lt;br /&gt;
Combine all ingredients, mixing well.&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Nestmann_Cream_Cheese_Braid&amp;diff=2507</id>
		<title>Nestmann Cream Cheese Braid</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Nestmann_Cream_Cheese_Braid&amp;diff=2507"/>
		<updated>2020-12-20T20:41:38Z</updated>

		<summary type="html">&lt;p&gt;Chip: Fixed dough ingredients ambiguity and formatting&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==Cream Cheese Braid==&lt;br /&gt;
&#039;&#039;&#039;Dough:&#039;&#039;&#039;&lt;br /&gt;
      1/8 oz Sour Cream Scalded&lt;br /&gt;
      1/2 Cup Sugar&lt;br /&gt;
      1/2 Cup Butter Melted&lt;br /&gt;
      1 tsp Salt&lt;br /&gt;
      2 Pkg Dry Yeast&lt;br /&gt;
      1/2 cup warm water (105-115 d)&lt;br /&gt;
      2 eggs beaten&lt;br /&gt;
      4 cups all purpose flour&lt;br /&gt;
      Filling (recipe follows)&lt;br /&gt;
      Glaze (recipe follows)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Makes 4 12-inch loaves&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Combine scalded sour cream, sugar, butter, salt.&lt;br /&gt;
Mix well.&lt;br /&gt;
And let cool to lukewarm.&lt;br /&gt;
&lt;br /&gt;
Dissolve yeast in warm water in large bowl.&lt;br /&gt;
Stir in sour cream mixture and eggs.&lt;br /&gt;
&lt;br /&gt;
Gradually stir in flour.  Dough will be soft.&lt;br /&gt;
&lt;br /&gt;
Cover tightly and chill overnight.&lt;br /&gt;
&lt;br /&gt;
Divide dough into four equal portions.  Turn each onto a heavily floured surface.  Knead four or five times.&lt;br /&gt;
&lt;br /&gt;
Roll each into a 12x8 inch rectangle.&lt;br /&gt;
Spread 1/4 of filling on each rectangle leaving a 1/2 inch margin around edges.&lt;br /&gt;
Carefully roll up in jelly roll fashion, beginning at long side.&lt;br /&gt;
Finally, pinch edge and ends to seal.&lt;br /&gt;
&lt;br /&gt;
Carefully place roll seam down on greased baking sheet.&lt;br /&gt;
Make six equally spaced x-spaced cuts on top of each loaf.&lt;br /&gt;
Cover and let rise in a warm place (85 degrees) free of drafts for one hour or until doubled in bulk.&lt;br /&gt;
Bake at 375 degrees for 15 to 20 minutes.&lt;br /&gt;
Spread loaves with glaze while warm.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Filling:&#039;&#039;&#039;&lt;br /&gt;
      Two 8 oz packages of cream cheese, softened&lt;br /&gt;
      3/4 cup sugar&lt;br /&gt;
      1 egg beaten&lt;br /&gt;
      1/8 tsp Salt&lt;br /&gt;
      2 tsp Vanilla extract&lt;br /&gt;
&lt;br /&gt;
Combine all ingredients.&lt;br /&gt;
Process in Food Processor or electric mixer until well blended.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Glaze:&#039;&#039;&#039;&lt;br /&gt;
      2 cups sifted powdered sugar&lt;br /&gt;
      1/4 cup milk&lt;br /&gt;
      2 tsp vanilla extract&lt;br /&gt;
&lt;br /&gt;
Combine all ingredients, mixing well.&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Nestmann_Cream_Cheese_Braid&amp;diff=2506</id>
		<title>Nestmann Cream Cheese Braid</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Nestmann_Cream_Cheese_Braid&amp;diff=2506"/>
		<updated>2020-12-20T20:36:32Z</updated>

		<summary type="html">&lt;p&gt;Chip: Cream Cheese Braid New Recipe&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==Cream Cheese Braid==&lt;br /&gt;
&#039;&#039;&#039;All Ingredients&#039;&#039;&#039;&lt;br /&gt;
      1/8 oz Sour Cream Scalded&lt;br /&gt;
      1/2 Cup Sugar&lt;br /&gt;
      1/2 Cup Butter Melted&lt;br /&gt;
      1 tsp Salt&lt;br /&gt;
      2 Pkg Dry Yeast&lt;br /&gt;
      1/2 cup warm water (105-115 d)&lt;br /&gt;
      2 eggs beaten&lt;br /&gt;
      4 cups all purpose flour&lt;br /&gt;
&lt;br /&gt;
Makes 4 12-inch loaves.&lt;br /&gt;
&lt;br /&gt;
Filling (recipe follows)&lt;br /&gt;
Glaze (recipe follows)&lt;br /&gt;
&lt;br /&gt;
Combine scalded sour cream, sugar, butter, salt.&lt;br /&gt;
Mix well.&lt;br /&gt;
And let cool to lukewarm.&lt;br /&gt;
&lt;br /&gt;
Dissolve yeast in warm water in large bowl.&lt;br /&gt;
Stir in sour cream mixture and eggs.&lt;br /&gt;
&lt;br /&gt;
Gradually stir in flour.  Dough will be soft.&lt;br /&gt;
&lt;br /&gt;
Cover tightly and chill overnight.&lt;br /&gt;
&lt;br /&gt;
Divide dough into four equal portions.  Turn each onto a heavily floured surface.  Knead four or five times.&lt;br /&gt;
&lt;br /&gt;
Roll each into a 12x8 inch rectangle.&lt;br /&gt;
Spread 1/4 of filling on each rectangle leaving a 1/2 inch margin around edges.&lt;br /&gt;
Carefully roll up in jelly roll fashion, beginning at long side.&lt;br /&gt;
Finally, pinch edge and ends to seal.&lt;br /&gt;
&lt;br /&gt;
Carefully place roll seam down on greased baking sheet.&lt;br /&gt;
Make six equally spaced x-spaced cuts on top of each loaf.&lt;br /&gt;
Cover and let rise in a warm place (85 degrees) free of drafts for one hour or until doubled in bulk.&lt;br /&gt;
Bake at 375 degrees for 15 to 20 minutes.&lt;br /&gt;
Spread loaves with glaze while warm.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Filling:&#039;&#039;&#039;&lt;br /&gt;
      Two 8 oz packages of cream cheese, softened&lt;br /&gt;
      3/4 cup sugar&lt;br /&gt;
      1 egg beaten&lt;br /&gt;
      1/8 tsp Salt&lt;br /&gt;
      2 tsp Vanilla extract&lt;br /&gt;
&lt;br /&gt;
Combine all ingredients.&lt;br /&gt;
Process in Food Processor or electric mixer until well blended.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Glaze:&#039;&#039;&#039;&lt;br /&gt;
      2 cups sifted powdered sugar&lt;br /&gt;
      1/4 cup milk&lt;br /&gt;
      2 tsp vanilla extract&lt;br /&gt;
&lt;br /&gt;
Combine all ingredients, mixing well.&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Recipes&amp;diff=2505</id>
		<title>Recipes</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Recipes&amp;diff=2505"/>
		<updated>2020-12-20T20:18:50Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add Cheese Braid&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Recipe]]&lt;br /&gt;
&lt;br /&gt;
==List of Recipes on ChipWiki==&lt;br /&gt;
* [[Guinness Bread Recipe]]&lt;br /&gt;
* [[Bourbon Pie Crust]]&lt;br /&gt;
* [[Derbie Pie Recipe]]&lt;br /&gt;
* [[Joe&#039;s Thunder Over Louisville Salsa Recipe]]&lt;br /&gt;
* [[Joe&#039;s Breakfast Bars Recipe]]&lt;br /&gt;
* [[Joe&#039;s Blueberry monkey bread]]&lt;br /&gt;
* [[Vegetarian Burrito Goop]]&lt;br /&gt;
* [[Chicken Fried Bacon]]&lt;br /&gt;
* [[Rose&#039;s Hot Brown]]&lt;br /&gt;
* [[Nestmann Cream Cheese Braid]]&lt;br /&gt;
&lt;br /&gt;
==Quick Tips and Tricks==&lt;br /&gt;
* [[Instant Pot Quick Starts]]&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2504</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2504"/>
		<updated>2020-12-09T21:40:17Z</updated>

		<summary type="html">&lt;p&gt;Chip: fun tweaks&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - Present)&lt;br /&gt;
*Led a DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in PYthon with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-level dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
* A few personally exciting things:&lt;br /&gt;
** I may have been the first person to commit &amp;quot;Starship&amp;quot; to code non-ironically&lt;br /&gt;
** The first time I got to write code that used the speed of light in a real-world meaningful way&lt;br /&gt;
** Got to use Quaternions for something practical&lt;br /&gt;
** Maintained a &amp;quot;Bug of the Month&amp;quot; page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2503</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2503"/>
		<updated>2020-11-29T18:31:20Z</updated>

		<summary type="html">&lt;p&gt;Chip: add autotest line for python language development&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - Present)&lt;br /&gt;
*Led a DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in PYthon with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-level dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2502</id>
		<title>Chip&#039;s Resume</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Chip%27s_Resume&amp;diff=2502"/>
		<updated>2020-11-24T04:47:29Z</updated>

		<summary type="html">&lt;p&gt;Chip: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Data Architect, Data Hobbyist, and Data Scientist&lt;br /&gt;
&lt;br /&gt;
This is the super long version with EVERYTHING on it.&lt;br /&gt;
&lt;br /&gt;
e-mail:  chip@chiplynch.com&lt;br /&gt;
&lt;br /&gt;
I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clearance:  DoD Top-secret (expired 2010)&lt;br /&gt;
&lt;br /&gt;
Publications:&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]&amp;quot; - International Journal of Medical Informatics&lt;br /&gt;
*&amp;quot;[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]&amp;quot; - PubMed / PlosOne&lt;br /&gt;
&lt;br /&gt;
Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Space Exploration Technologies (SpaceX)	Hawthorne, CA&lt;br /&gt;
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - Present)&lt;br /&gt;
*Led a DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system&lt;br /&gt;
*Led the team responsible for our distributed automatic hardware testing system written in PYthon with a PostgreSQL/Redis back-end&lt;br /&gt;
**Integrated hardware simulations and scripted tests with live and recorded telemetry&lt;br /&gt;
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments&lt;br /&gt;
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure&lt;br /&gt;
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo&lt;br /&gt;
**Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data&lt;br /&gt;
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time&lt;br /&gt;
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability&lt;br /&gt;
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP&lt;br /&gt;
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision&lt;br /&gt;
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues&lt;br /&gt;
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks&lt;br /&gt;
*Maintained the Operating Plan - predictive data set for headcount/resource management planning&lt;br /&gt;
*Provided data analysis to reduce scrap costing over $150M&lt;br /&gt;
*Designed and implemented metrics/kpi architecture from root code to C-level dashboards&lt;br /&gt;
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations&lt;br /&gt;
&lt;br /&gt;
Passport Health Plan	Louisville, KY&lt;br /&gt;
Data Architect (October 2012 - 2015 &amp;amp; 2017 - Feb. 2018)&lt;br /&gt;
*Designed analytical algorithms to enable geospatial reporting on patient coverage&lt;br /&gt;
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people&lt;br /&gt;
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch&lt;br /&gt;
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects&lt;br /&gt;
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design&lt;br /&gt;
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard&lt;br /&gt;
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting&lt;br /&gt;
&lt;br /&gt;
Farm Credit Mid America	Louisville, KY&lt;br /&gt;
Data Architect (Jan 2015 - Jan 2017)&lt;br /&gt;
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee&lt;br /&gt;
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics&lt;br /&gt;
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business&lt;br /&gt;
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base	Dayton, OH&lt;br /&gt;
Data Architect and Contractor with Deloitte (2003-2012)&amp;lt;br&amp;gt;&lt;br /&gt;
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems&lt;br /&gt;
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data&lt;br /&gt;
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.&lt;br /&gt;
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.&lt;br /&gt;
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.&lt;br /&gt;
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.&lt;br /&gt;
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.&lt;br /&gt;
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.&lt;br /&gt;
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.&lt;br /&gt;
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.&lt;br /&gt;
&lt;br /&gt;
Cincinnati Financial Corp.	Cincinnati, OH&lt;br /&gt;
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)&lt;br /&gt;
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.&lt;br /&gt;
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims&lt;br /&gt;
&lt;br /&gt;
FirstEnergy Corp.	Akron, OH, &lt;br /&gt;
Data Migration Contractor (2002-2003)&lt;br /&gt;
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.&lt;br /&gt;
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.&lt;br /&gt;
&lt;br /&gt;
US Postal Service	Raleigh, NC, &lt;br /&gt;
Data Warehouse Contractor (2002)&lt;br /&gt;
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.&lt;br /&gt;
* Primary responsibility was on increasing performance on very large data loads to the warehouse.  For example I reduced the running time for some loads from 80+ hours down to 4 hours.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Clients with KPMG Consulting	Washington, DC, &lt;br /&gt;
Senior Consultant (1998- 2002)&lt;br /&gt;
&lt;br /&gt;
City and County of San Francisco (2000- 2001)&lt;br /&gt;
* Designed and implemented a terabyte scale data warehouse for the City.&lt;br /&gt;
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning.  Also administered large Windows NT and HP-UX servers.&lt;br /&gt;
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.&lt;br /&gt;
* Developed end user training, documentation, and robust testing/validation procedures.&lt;br /&gt;
&lt;br /&gt;
National Aeronautics and Space Administration (NASA) (1999-2000)&lt;br /&gt;
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.&lt;br /&gt;
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client&#039;s specifications.&lt;br /&gt;
&lt;br /&gt;
Performance Executive (various clients)&lt;br /&gt;
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product&#039;s creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.&lt;br /&gt;
&lt;br /&gt;
US Senate, Washington, DC (Fall, 1999)&lt;br /&gt;
&lt;br /&gt;
City of Ottawa, Canada (as needed 2000)&lt;br /&gt;
&lt;br /&gt;
Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)&lt;br /&gt;
&lt;br /&gt;
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)&lt;br /&gt;
&lt;br /&gt;
Oakland County, Michigan (Sept. 2001-Feb. 2002)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Other Work Experience:&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Xavier University 	Cincinnati, Ohio&lt;br /&gt;
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)&lt;br /&gt;
&lt;br /&gt;
Farwell and Hendricks	Cincinnati, Ohio&lt;br /&gt;
Senior Thesis Project&lt;br /&gt;
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current.  Neat stuff!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Education&lt;br /&gt;
Xavier University, Cincinnati, Ohio&lt;br /&gt;
* Bachelor of Science in Mathematics and Computer Science&lt;br /&gt;
University of Louisville, Louisville, KY&lt;br /&gt;
* Graduate Certificate in Data Mining&lt;br /&gt;
* Currently pursuing PhD of Computer Science in Data Mining&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Extensive Experience With&lt;br /&gt;
* R and Python&lt;br /&gt;
* Stash, Git&lt;br /&gt;
* Microsoft SQL Server&lt;br /&gt;
* Informatica PowerCenter&lt;br /&gt;
* Tableau, Cognos, and Business Objects Business Intelligence Products&lt;br /&gt;
* MySQL, Oracle and Teradata Database Products and SQL &lt;br /&gt;
* ErWin Data Modeling Tool &lt;br /&gt;
* Windows Server, Linux and Unix (Various) Operating Systems &lt;br /&gt;
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies&lt;br /&gt;
&lt;br /&gt;
Working Knowledge of&lt;br /&gt;
* Jira, Bamboo, Jenkins&lt;br /&gt;
* Microstrategy, Brio, Holos, Crystal Reports&lt;br /&gt;
* Apple Macintosh OS, OpenVMS&lt;br /&gt;
* Microsoft IIS, C#&lt;br /&gt;
* SAP R/3: ABAP and HR InfoTypes&lt;br /&gt;
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go&lt;br /&gt;
* PGP, Numerical Cryptographic Theory, System Security&lt;br /&gt;
* Numerous other software packages, feel free to ask&lt;br /&gt;
* Sun, Hewlett-Packard, and IBM Hardware&lt;br /&gt;
* MelissaData Geocoding and Fuzzy Matching SSIS Packages&lt;br /&gt;
&lt;br /&gt;
Other Relevant Experience&lt;br /&gt;
* Oracle Unified Methodology Level 3 Certification &lt;br /&gt;
* SEI/CMMI project lifecycle management standards&lt;br /&gt;
* DAMA DMBOK and ITIL Practices&lt;br /&gt;
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others&lt;br /&gt;
* Department of Defense Architecture Framework (DoDAF)&lt;br /&gt;
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition&lt;br /&gt;
* Completed Coursera&#039;s May 2013 Data Mining class &amp;quot;with Distinction&amp;quot;&lt;br /&gt;
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/&lt;br /&gt;
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Rose%27s_Hot_Brown&amp;diff=2501</id>
		<title>Rose&#039;s Hot Brown</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Rose%27s_Hot_Brown&amp;diff=2501"/>
		<updated>2020-06-08T01:41:53Z</updated>

		<summary type="html">&lt;p&gt;Chip: Even better formatting&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Recipe]]&lt;br /&gt;
==Hot Brown Recipe==&lt;br /&gt;
Feeds 4-5 people&lt;br /&gt;
&lt;br /&gt;
===Shopping List===&lt;br /&gt;
* Turkey Breast&lt;br /&gt;
Can be from a roasted turkey or deli slices (we have used “Carving Board” Turkey Breast thick slices from Oscar Meyer, 7.5 oz package)&lt;br /&gt;
* 1 lb Bacon&lt;br /&gt;
* 2 Roma Tomatoes&lt;br /&gt;
* 1 Load of Italian Bread&lt;br /&gt;
* 1 Wedge of Pecorino Romano Cheese (5oz - 8oz)*&lt;br /&gt;
* 1 Pint (2 cups) of Heavy Whipping Cream&lt;br /&gt;
* 1 Quart (4 cups) of Milk (can be skim milk, 2%, or whole milk)&lt;br /&gt;
* Butter (salted or unsalted)&lt;br /&gt;
* Salt&lt;br /&gt;
* Pepper&lt;br /&gt;
* Nutmeg (or Cinnamon)&lt;br /&gt;
* Paprika&lt;br /&gt;
* Parsley (garnish only)&lt;br /&gt;
* All Purpose Flour&lt;br /&gt;
&lt;br /&gt;
(Pecorino Romano cheese is preferable, but Romano cheese can be substituted)&lt;br /&gt;
&lt;br /&gt;
===Directions===&lt;br /&gt;
# Prepare then set aside for plating later:&lt;br /&gt;
#: a. Cook bacon and drain&lt;br /&gt;
#: b. Slice and toast Italian bread (for extra flavor, brush with olive oil and then toast)&lt;br /&gt;
#: c. Dice roma tomatoes&lt;br /&gt;
#: d. Warm turkey&lt;br /&gt;
# Grate entire wedge of cheese&lt;br /&gt;
#: Set aside a couple of tablespoons for garnish at the end&lt;br /&gt;
# To make Mornay sauce:&lt;br /&gt;
#: a. Heat pan on stove to medium heat&lt;br /&gt;
#: b. Add 4 tablespoons of butter to pan and slowly melt&lt;br /&gt;
#: c. Once butter has melted, add flour:&lt;br /&gt;
#:: i. 4 tablespoons of flour will be needed&lt;br /&gt;
#:: ii. Add 1 tablespoon at a time; whisk into flour completely before adding the next tablespoon&lt;br /&gt;
#: d. Once all flour has been added, let simmer for 1-2 minutes&lt;br /&gt;
#: e. Add heavy whipping cream slowly to pan and whisk while adding&lt;br /&gt;
#:: i. You will use the entire pint&lt;br /&gt;
#: f. Season with pepper&lt;br /&gt;
#: g. Slowly add your other milk to the pan (you will use at least two cups) and whisk while adding&lt;br /&gt;
#:: i. This milk is to help not only add volume to your Mornay sauce, but to also get it to the consistency you want, which is why you may want to use more or less milk&lt;br /&gt;
#:: ii. Once you get your Mornay sauce to the consistency you prefer, taste - then add salt, pepper, and a pinch of nutmeg (or cinnamon) and stir&lt;br /&gt;
# To assemble&lt;br /&gt;
#: a. Place slices of toasted bread on a baking sheet&lt;br /&gt;
#: b. Add turkey, bacon, tomatoes*, Mornay sauce, and sprinkle some leftover cheese on top&lt;br /&gt;
#: c. Place in oven to broil until golden brown and warm&lt;br /&gt;
# To serve&lt;br /&gt;
#: a. Place Hot Browns on a warmed plate, sprinkle with more cheese, parsley, and/or more tomatoes&lt;br /&gt;
#: b. Enjoy!&lt;br /&gt;
&lt;br /&gt;
*Tomatoes can be saved until the end after Hot Browns are brought out of the oven to add a refreshing bite to this heavy dish&lt;br /&gt;
&lt;br /&gt;
====Rose Zimmerman Caple====&lt;br /&gt;
====June 7, 2020====&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Rose%27s_Hot_Brown&amp;diff=2500</id>
		<title>Rose&#039;s Hot Brown</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Rose%27s_Hot_Brown&amp;diff=2500"/>
		<updated>2020-06-08T01:35:00Z</updated>

		<summary type="html">&lt;p&gt;Chip: Initial Page and Formatting&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Recipe]]&lt;br /&gt;
==Hot Brown Recipe==&lt;br /&gt;
Feeds 4-5 people&lt;br /&gt;
&lt;br /&gt;
===Shopping List===&lt;br /&gt;
* Turkey Breast&lt;br /&gt;
Can be from a roasted turkey or deli slices (we have used “Carving Board” Turkey Breast thick slices from Oscar Meyer, 7.5 oz package)&lt;br /&gt;
* 1 lb Bacon&lt;br /&gt;
* 2 Roma Tomatoes&lt;br /&gt;
* 1 Load of Italian Bread&lt;br /&gt;
* 1 Wedge of Pecorino Romano Cheese (5oz - 8oz)*&lt;br /&gt;
* 1 Pint (2 cups) of Heavy Whipping Cream&lt;br /&gt;
* 1 Quart (4 cups) of Milk (can be skim milk, 2%, or whole milk)&lt;br /&gt;
* Butter (salted or unsalted)&lt;br /&gt;
* Salt&lt;br /&gt;
* Pepper&lt;br /&gt;
* Nutmeg (or Cinnamon)&lt;br /&gt;
* Paprika&lt;br /&gt;
* Parsley (garnish only)&lt;br /&gt;
* All Purpose Flour&lt;br /&gt;
&lt;br /&gt;
(Pecorino Romano cheese is preferable, but Romano cheese can be substituted)&lt;br /&gt;
&lt;br /&gt;
===Directions===&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
Prepare then set aside for plating later:&lt;br /&gt;
Cook bacon and drain&lt;br /&gt;
Slice and toast Italian bread (for extra flavor, brush with olive oil and then toast)&lt;br /&gt;
Dice roma tomatoes&lt;br /&gt;
Warm turkey&lt;br /&gt;
Grate entire wedge of cheese&lt;br /&gt;
Set aside a couple of tablespoons for garnish at the end&lt;br /&gt;
To make Mornay sauce:&lt;br /&gt;
Heat pan on stove to medium heat&lt;br /&gt;
Add 4 tablespoons of butter to pan and slowly melt&lt;br /&gt;
Once butter has melted, add flour:&lt;br /&gt;
4 tablespoons of flour will be needed&lt;br /&gt;
Add 1 tablespoon at a time; whisk into flour completely before adding the next tablespoon&lt;br /&gt;
Once all flour has been added, let simmer for 1-2 minutes&lt;br /&gt;
Add heavy whipping cream slowly to pan and whisk while adding&lt;br /&gt;
You will use the entire pint&lt;br /&gt;
Season with pepper&lt;br /&gt;
Slowly add your other milk to the pan (you will use at least two cups) and whisk while adding&lt;br /&gt;
This milk is to help not only add volume to your Mornay sauce, but to also get it to the consistency you want, which is why you may want to use more or less milk&lt;br /&gt;
Once you get your Mornay sauce to the consistency you prefer, taste - then add salt, pepper, and a pinch of nutmeg (or cinnamon) and stir&lt;br /&gt;
To assemble&lt;br /&gt;
Place slices of toasted bread on a baking sheet&lt;br /&gt;
Add turkey, bacon, tomatoes*, Mornay sauce, and sprinkle some leftover cheese on top&lt;br /&gt;
Place in oven to broil until golden brown and warm&lt;br /&gt;
To serve&lt;br /&gt;
Place Hot Browns on a warmed plate, sprinkle with more cheese, parsley, and/or more tomatoes&lt;br /&gt;
Enjoy!&lt;br /&gt;
&lt;br /&gt;
*Tomatoes can be saved until the end after Hot Browns are brought out of the oven to add a refreshing bite to this heavy dish&lt;br /&gt;
&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
====Rose Zimmerman Caple====&lt;br /&gt;
====June 7, 2020====&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=Recipes&amp;diff=2499</id>
		<title>Recipes</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=Recipes&amp;diff=2499"/>
		<updated>2020-06-08T01:28:29Z</updated>

		<summary type="html">&lt;p&gt;Chip: Add Rose&amp;#039;s Hot Brown&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Recipe]]&lt;br /&gt;
&lt;br /&gt;
==List of Recipes on ChipWiki==&lt;br /&gt;
* [[Guinness Bread Recipe]]&lt;br /&gt;
* [[Bourbon Pie Crust]]&lt;br /&gt;
* [[Derbie Pie Recipe]]&lt;br /&gt;
* [[Joe&#039;s Thunder Over Louisville Salsa Recipe]]&lt;br /&gt;
* [[Joe&#039;s Breakfast Bars Recipe]]&lt;br /&gt;
* [[Joe&#039;s Blueberry monkey bread]]&lt;br /&gt;
* [[Vegetarian Burrito Goop]]&lt;br /&gt;
* [[Chicken Fried Bacon]]&lt;br /&gt;
* [[Rose&#039;s Hot Brown]]&lt;br /&gt;
&lt;br /&gt;
==Quick Tips and Tricks==&lt;br /&gt;
* [[Instant Pot Quick Starts]]&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo_2019_-_GPT-2_Edition&amp;diff=2498</id>
		<title>NaNoGenMo 2019 - GPT-2 Edition</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo_2019_-_GPT-2_Edition&amp;diff=2498"/>
		<updated>2019-11-30T04:39:08Z</updated>

		<summary type="html">&lt;p&gt;Chip: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=The Basics=&lt;br /&gt;
My goal this year was to take some random text, character, and location generators and build a basic recursive quest engine.&lt;br /&gt;
&lt;br /&gt;
Let&#039;s unpack that.  All I want for now is:&lt;br /&gt;
* locations - a small network of places, with the ability for characters to travel between them&lt;br /&gt;
* characters - a recurring finite set of characters who travel between the locations and interact when they&#039;re in the same place&lt;br /&gt;
** stretch goal - interact when they&#039;re passing one another!&lt;br /&gt;
* recursive - the idea is that we have a world... it has, say, cities, within cities are places (inns, bars, markets), within those may be rooms... or maybe our recursion is deep enough at two levels&lt;br /&gt;
&lt;br /&gt;
Eh, maybe that&#039;s even too much.  I work a super lot and in eight days of November so far all I&#039;ve done is written those bullets.  But let&#039;s see what&#039;s out there...&lt;br /&gt;
&lt;br /&gt;
====progress...====&lt;br /&gt;
So there are some good generators out there that sort of start to do what I want.  I may just daisy chain them together... listed a few below.&lt;br /&gt;
TextWorld world generations is almost exactly what I want, it&#039;s just single-character.  Hmmm.&lt;br /&gt;
&lt;br /&gt;
==Github==&lt;br /&gt;
My repo is here: https://github.com/chipmonkey/ChipMonkeyNaNoGenMo2019&lt;br /&gt;
And my NaNoGenMo repo is here: https://github.com/NaNoGenMo/2019/issues/76&lt;br /&gt;
&lt;br /&gt;
==Local laptop==&lt;br /&gt;
&lt;br /&gt;
===gpt-2===&lt;br /&gt;
This: https://openai.com/blog/better-language-models/&lt;br /&gt;
Made this: https://github.com/openai/gpt-2&lt;br /&gt;
Which made this: https://colab.research.google.com/drive/1gB03iSnshYcSzSCrS9gPGcoOFCpMhVq_&lt;br /&gt;
&lt;br /&gt;
hit this bug: https://github.com/openai/gpt-2/issues/178&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
git clone https://github.com/openai/gpt-2.git &amp;amp;&amp;amp; cd gpt-2&lt;br /&gt;
docker build --tag gpt-2 -f Dockerfile.cpu .&lt;br /&gt;
docker run -it gpt-2 bash&lt;br /&gt;
export PYTHONIOENCODING=UTF-8&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Need to run this on AWS or something:&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
2019-11-09 20:43:18.919955: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA&lt;br /&gt;
2019-11-09 20:43:23.418088: W tensorflow/core/framework/allocator.cc:122] Allocation of 154389504 exceeds 10% of system memory.&lt;br /&gt;
2019-11-09 20:43:23.722155: W tensorflow/core/framework/allocator.cc:122] Allocation of 154389504 exceeds 10% of system memory.&lt;br /&gt;
2019-11-09 20:43:44.915623: W tensorflow/core/framework/allocator.cc:122] Allocation of 18137088 exceeds 10% of system memory.&lt;br /&gt;
2019-11-09 20:43:45.006514: W tensorflow/core/framework/allocator.cc:122] Allocation of 18210816 exceeds 10% of system memory.&lt;br /&gt;
2019-11-09 20:43:45.102333: W tensorflow/core/framework/allocator.cc:122] Allocation of 18284544 exceeds 10% of system memory.&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Although it did actually spit out text, so for now I&#039;m working inside this docker.&lt;br /&gt;
&lt;br /&gt;
===Parl.AI===&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
git clone https://github.com/facebookresearch/ParlAI.git&lt;br /&gt;
cd ParlAI; python setup.py develop&lt;br /&gt;
&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===textworld===&lt;br /&gt;
From: https://www.microsoft.com/en-us/research/project/textworld/&lt;br /&gt;
Yields: https://github.com/microsoft/textworld&lt;br /&gt;
&lt;br /&gt;
hit this bug: https://github.com/authomatic/chromedriver_installer/issues/11&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
pip install textworld&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Attempt 1==&lt;br /&gt;
&lt;br /&gt;
Textworld is really straighforward and has a nice generator... the example from the README.md is:&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;tw-make custom --world-size 5 --nb-objects 10 --quest-length 5 --seed 1234 --output tw_games/custom_game.ulx&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
Or&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;tw-make custom --world-size 15 --nb-objects 20 --quest-length 20 --seed 1729 --output tw_games/game2.ulx&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Also, it&#039;s a quick modification to the sample &amp;quot;play_gym.py&amp;quot; to the environment https://textworld.readthedocs.io/en/latest/textworld.envs.wrappers.html&lt;br /&gt;
Just open an outfile &amp;lt;code&amp;gt;outfile = open(&#039;textworld_out.txt&#039;, &#039;w+&#039;)&amp;lt;/code&amp;gt; and drop the environment to it via text &amp;lt;code&amp;gt;outfile.write(env.render(&#039;text&#039;))&amp;lt;/code&amp;gt;&lt;br /&gt;
So that a playthrough drops a nice quest line with some descriptive information.&lt;br /&gt;
&lt;br /&gt;
After that, it&#039;s a fairly easy change to https://github.com/openai/gpt-2/blob/master/src/interactive_conditional_samples.py to read from an input file rather than the command line.&lt;br /&gt;
Point that at the output from TextWorld, and GPT-2 will embellish a story based on each line of the TextWorld adventure.&lt;br /&gt;
&lt;br /&gt;
Voila!&lt;br /&gt;
&lt;br /&gt;
[[NaNoGenMo2019 Attempt 1]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Next Steps==&lt;br /&gt;
&lt;br /&gt;
GPT-2 is all over the place.  Need to dig in to focus on specific datasets; retrain on gutenberg-fantasy-english.&lt;br /&gt;
Also, TextWorld seems broken.  Can&#039;t quite figure out how to win even a very simple quest which makes me wonder if it&#039;s generating winnable quest trees.&lt;br /&gt;
Lastly, still need to add multiple people.&lt;br /&gt;
&lt;br /&gt;
But for now, we have writing!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Final Product=&lt;br /&gt;
&lt;br /&gt;
Ok, here&#039;s what happened.  Work got busy.  HAHA, no, it&#039;s always busy.  Anyway.&lt;br /&gt;
&lt;br /&gt;
What follows here is basically the README.md from the github code here:&lt;br /&gt;
&lt;br /&gt;
Borrowing heavily from these open source products&lt;br /&gt;
* gpt-2: https://github.com/minimaxir/gpt-2-simple&lt;br /&gt;
* textworld: https://github.com/microsoft/TextWorld&lt;br /&gt;
&lt;br /&gt;
Steps:&lt;br /&gt;
# Run finetune_gpt2.py to train GPT2 on Grimm&#039;s fairy tales&lt;br /&gt;
# Run make_a_novel.py&lt;br /&gt;
&lt;br /&gt;
make_a_novel.py generates a story with TextWorld and walks through&lt;br /&gt;
a play run (that part isn&#039;t fully automated yet).&lt;br /&gt;
It then takes the narrative from the playthrough and passes it through&lt;br /&gt;
gpt2 to add lots of words, which are hopefully embellishments on the story&lt;br /&gt;
thus generating a novel.&lt;br /&gt;
&lt;br /&gt;
It&#039;s not very coherent yet, but ya know.&lt;br /&gt;
&lt;br /&gt;
As a shortcut, if you have a gpt-2 model, and want to use the example text you should be able to just do:&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
import make_a_novel&lt;br /&gt;
make_a_novel.makethenovel()&lt;br /&gt;
&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which will load a model available to gpt-2-simple and generate text from a pre-played TextWorld output storyguide.&lt;br /&gt;
&lt;br /&gt;
The result of doing that, at least one example, is my NaNoGenMo 2019 submission:&lt;br /&gt;
[[NaNoGenMo2019 Final Text]]&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo2019_Final_Text&amp;diff=2497</id>
		<title>NaNoGenMo2019 Final Text</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo2019_Final_Text&amp;diff=2497"/>
		<updated>2019-11-30T04:37:50Z</updated>

		<summary type="html">&lt;p&gt;Chip: nowiki formatting&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; &amp;lt;nowiki&amp;gt;&lt;br /&gt;
‘What do you desire?’&lt;br /&gt;
&lt;br /&gt;
‘I want to become a powerful giant.’&lt;br /&gt;
&lt;br /&gt;
‘What do you ask?’&lt;br /&gt;
&lt;br /&gt;
‘I want to become a lord of some great city.’&lt;br /&gt;
&lt;br /&gt;
‘What do you ask?’&lt;br /&gt;
&lt;br /&gt;
‘I want to become a king.’&lt;br /&gt;
&lt;br /&gt;
‘What do you ask?’&lt;br /&gt;
&lt;br /&gt;
‘I want to become a king.’&lt;br /&gt;
&lt;br /&gt;
‘What do you give?’&lt;br /&gt;
&lt;br /&gt;
‘5,000 horse, or whatever it is you wish to have.’&lt;br /&gt;
&lt;br /&gt;
He took a horse which was good and simple, and put it into a manger.&lt;br /&gt;
When it was ready to be ridden, it was forced to work, and when the horse could no&lt;br /&gt;
longer get upon the road, it began to be gored, and soon fell down in&lt;br /&gt;
pain. Then Clever Hans said, ‘I see no man who is bigger than I am, and would&lt;br /&gt;
have nothing to do with another horse.’ So the mangroom was at once frightened,&lt;br /&gt;
and said, ‘Hark ye, my friend! I will soon find a way out of this.’ So the horse&lt;br /&gt;
was found, and soon found a man. ‘Well,’ said the old man, ‘we will try for once.’&lt;br /&gt;
After a time he agreed to try what he wished. Then he saw a little horse&lt;br /&gt;
which he thought was very strong, and wanted to ride away. But the old garter&lt;br /&gt;
said, ‘You shall soon find a strong man to set you on a strong horse.’ So he&lt;br /&gt;
gave him strength, and he soon set him back on his own. Then he looked about&lt;br /&gt;
and saw that the country was mountainous, and the mountains were round about&lt;br /&gt;
them. ‘I see a kingdom already,’ said he, ‘and I wish I could find a way across them,&lt;br /&gt;
if you will do as I tell you to begin with.’ So he rode away; and then he&lt;br /&gt;
stayed the whole distance long enough to find and find the right man. But the old&lt;br /&gt;
garter told him how to go to a wise God, and should, when he pleased,&lt;br /&gt;
be called by name. Likewise the two married Grete followed his advice, and&lt;br /&gt;
married Ileudann.&lt;br /&gt;
&lt;br /&gt;
When they came to the hill where they had set aside, they lighted the fire&lt;br /&gt;
and drank of a cup which they had brought from the forest. When all was&lt;br /&gt;
light they went to their father and set to work, cutting wood,&lt;br /&gt;
but Grete put her finger to her lips and said, ‘If you will do&lt;br /&gt;
that, I will not be late.’ Then her husband was obliged to keep&lt;br /&gt;
himselves busy, and they went their way very together.&lt;br /&gt;
&lt;br /&gt;
After a time there was another feast, and when they came to the&lt;br /&gt;
hill where they had set aside, there stood a young woman, who took&lt;br /&gt;
care to be as bright and cheerful as she could be, and went about&lt;br /&gt;
the hill with a white handkerchief in her bosom.&lt;br /&gt;
&lt;br /&gt;
Then she went into her little cabin, and handkerchief fell into&lt;br /&gt;
the cup, and she never once put her finger to her lips to&lt;br /&gt;
speak of it; but every once in a while she did so, to her&lt;br /&gt;
great liking.&lt;br /&gt;
&lt;br /&gt;
She wanted to run away with the man, but he stopped her when she&lt;br /&gt;
came to the hill, and said, ‘If I can get over there, you&lt;br /&gt;
may try and make use of my legs.’ So she ran away quickly to&lt;br /&gt;
the other side of the hill, and sat down by the fire and tried to&lt;br /&gt;
try and get over there. But the old garter said, ‘Do you think you&lt;br /&gt;
will be easy with that?--you must learn how to stir?’ So she&lt;br /&gt;
sought the best way, and found a way under the table. Then she pulled out&lt;br /&gt;
the white handkerchief, and put it into the cup, and as soon as&lt;br /&gt;
you were drinking it you were thirsty too. But the old garter&lt;br /&gt;
was not so well pleased with you as he had been with the&lt;br /&gt;
peasant, and said, ‘You have been let into a little cabin, you&lt;br /&gt;
must learn how to stir--that you never will be easy about this.’&lt;br /&gt;
So you must learn to stir with your hands; for you will&lt;br /&gt;
perhaps be easy enough if you have hands too.’ Then you must keep&lt;br /&gt;
your heads from the hot water, and you must not let the peas&lt;br /&gt;
saladously heated with water get on the fire.&lt;br /&gt;
&lt;br /&gt;
When you have warmed to this, you will see on the walls and in&lt;br /&gt;
the groundspersons that talk loudly.’ Then you&lt;br /&gt;
You&#039;re now in an attic.&lt;br /&gt;
‘Take me out,’ said Hans. ‘And if you are so fond of&lt;br /&gt;
that, come with me to my master.’ ‘With what reason?’ asked the fox. ‘Henceforth&lt;br /&gt;
the fox will say he is because I am so fond of you, and you must be&lt;br /&gt;
some other way?’ ‘Oh, that would be too heavy of a man for my&lt;br /&gt;
table,’ answered Hans, ‘but come with us Master Rumpelstiltskin.’ Hans took&lt;br /&gt;
out Rumpelstiltskin, put two large round stones in front of him,&lt;br /&gt;
and went out to the table and the stones laid hold of each other. ‘&lt;br /&gt;
But the fox was not there,’ said Hans, ‘and the girls did not come with&lt;br /&gt;
their master.’ The fox said: ‘You must be a poor sleeper,&lt;br /&gt;
that can hardly remain idle,’ and went away into the night. When&lt;br /&gt;
he came again it was dark night and all were gone. Then Hans went&lt;br /&gt;
to his master, and said: ‘You have played with my beautiful girls,&lt;br /&gt;
have you not?’ ‘Oh, yes,’ answered he, ‘you have. When I went into&lt;br /&gt;
the room, there was a goose under my pillow, and when I put it on I could not&lt;br /&gt;
get over it, and said: ‘If you would but please,’ ‘Growler, there may&lt;br /&gt;
be some game left in me.’ And the next morning when he was out&lt;br /&gt;
going the door, he carried a goose under his pillow for the boy to&lt;br /&gt;
read about it in. When that was over the goose fell and became a&lt;br /&gt;
fine treat, for the boy learnt how to draw, pick, and cut&lt;br /&gt;
wood, and how to carve.&lt;br /&gt;
&lt;br /&gt;
Hans had also some goose cut in two pieces, at the other side of the&lt;br /&gt;
room, and when he went to draw it up again the stone in which the&lt;br /&gt;
grape fell, looked very beautiful indeed! It was cut into such a way that&lt;br /&gt;
the stairs would have let him in without injury, and he was glad&lt;br /&gt;
to go in at all hours, without any trouble at all.&lt;br /&gt;
&lt;br /&gt;
But when he went to the top of the stairs he fell without injury&lt;br /&gt;
into a saucer. Then he called out: ‘Here, boys, is my slice of&lt;br /&gt;
bread.’ ‘No,’ said the other, ‘it is no good. Here is a slice of&lt;br /&gt;
sausage instead.’ ‘Then let fate take the sausage,’ said&lt;br /&gt;
the fox, ‘for it is cruel and quicksand-violent.’ So the poor&lt;br /&gt;
two boys were forced to eat of holes they had cut open, and were&lt;br /&gt;
forced to eat of it again, and again it made them laugh, and made them&lt;br /&gt;
blatant lies to tell about themselves. One said that it was because he had&lt;br /&gt;
sausages, the other that his mother was a cook.&lt;br /&gt;
&lt;br /&gt;
When the old folks were asleep, Hans went up to them, and once&lt;br /&gt;
said: ‘If you could but shudder if you could but shudder.’ The youngest&lt;br /&gt;
was friendly with him, and said: ‘Heaven forbid that we should shabby&lt;br /&gt;
sleepers!’ But the old folks were silent, and thought Hans must&lt;br /&gt;
be a clever fellow, or they would Notlase’ them. Hans did&lt;br /&gt;
not cry, but sulked with rage and impatience, till at last their&lt;br /&gt;
servant Nunzen came up to him and took him prisoner, and as such he&lt;br /&gt;
was���ASILED.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE FROG-PRINCE&lt;br /&gt;
&lt;br /&gt;
One of the loveliest animals on the whole, docile and happy, was not long&lt;br /&gt;
before it was quite iced in; and as it was so, he pricked a nut with it,&lt;br /&gt;
the unhappy fairy sprang forth, and as she pleased with her little iced&lt;br /&gt;
house, he jumped on to his horse and rode away with it. ‘Well,’ said&lt;br /&gt;
the fox, ‘you have iced my iced iced iced iced iced iced iced iced iced iced iced」&lt;br /&gt;
‘What do you mean?’ ‘Oh,’ replied the fox, ‘I have iced some iced milk, believe me&lt;br /&gt;
it is iced!’ ‘Then what do you mean by iced milk?’ ‘Ah,&lt;br /&gt;
well, I have had some iced milk before, in soup.’ ‘And now you have&lt;br /&gt;
some iced milk,’ answered the fox, ‘because you think I should like to&lt;br /&gt;
have a go at you&lt;br /&gt;
‘What do you desire?’ said he; ‘for&lt;br /&gt;
I do not know who it was that gave me the fire, but I go out&lt;br /&gt;
every morning and look for it myself.’ It was the same kind of&lt;br /&gt;
cow that had been killed at the same place, and was lying there covered&lt;br /&gt;
with his own body.&lt;br /&gt;
&lt;br /&gt;
The little dwarf went his way, and as he passed by the spot where the&lt;br /&gt;
dead cow was, he saw a young goat with her own head, and wondered&lt;br /&gt;
at the fact that the one who had killed the cow should go on&lt;br /&gt;
with the other; but he ran away quickly to his father’s&lt;br /&gt;
country, where he had to wait a long time to find out who had&lt;br /&gt;
whipped out the cow for him.&lt;br /&gt;
&lt;br /&gt;
When the dwarf came to his father, he made him his bride, and&lt;br /&gt;
kissed her, and gave him a stone, and said, ‘You are my&lt;br /&gt;
dwarf, and I will give you everything I can to make you a god.’ Then&lt;br /&gt;
he left the poor dwarf behind him, and went to his father, and&lt;br /&gt;
let him have nothing to eat or drink. Then he laid hold to him, and&lt;br /&gt;
wished him joy of his own way, and said, ‘You shall be my husband&lt;br /&gt;
and wife for ever.’ The little boy soon came, and when he came to the&lt;br /&gt;
chamber where the wedding was to be held, there sat a great many people&lt;br /&gt;
there, who knew not what harm should befall them if they were to be&lt;br /&gt;
married off. Then the wedding-goer said, ‘I will give all my riches&lt;br /&gt;
to be married to a deist, and be they so faithful and true people as you&lt;br /&gt;
are.’ But the father said, ‘You shall be faithful to your children, and&lt;br /&gt;
give them into the hands of a fool who will surely perish.’&lt;br /&gt;
Then they went away a little sadly, but true, to say that they were&lt;br /&gt;
ill-behaved children.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
CLEVER HANS&lt;br /&gt;
&lt;br /&gt;
The mother of Hans said to Hans: ‘You shall live, I pray, till&lt;br /&gt;
your death, and shall have all your wealth and privileges.’ ‘Yes,’ replied&lt;br /&gt;
he, ‘but whosoever shall divide and take away this boon&lt;br /&gt;
from me shall they be punished by fire and blood.’ Ah, yes! said Hans, ‘who&lt;br /&gt;
wouldier-wrens would do wife!’ Then the little man made a sign to all&lt;br /&gt;
his five children, and said: ‘Wife shall do just as you wish.’ All were&lt;br /&gt;
already on their guard against the will of the little man, and&lt;br /&gt;
soon they were.&lt;br /&gt;
&lt;br /&gt;
The eldest thought: ‘Hans, what will this will?’ As soon as&lt;br /&gt;
he was firmly in the habit of living, he went to meet the deist,&lt;br /&gt;
and begged with many prayers for his life. But the deist laughed&lt;br /&gt;
at him, and said: ‘You are such a great fellow, that you cannot even&lt;br /&gt;
dread match us.’ Then he told him all his misfortunes, how he had&lt;br /&gt;
brought the poor woman down with him from the forest, and how he had&lt;br /&gt;
brought home a bad apple. Then he wasrily awaiting his wife,&lt;br /&gt;
and when she came to the door, and saw what a treacherous fellow he&lt;br /&gt;
was, she hoped that he would let her in, and as she did not speak&lt;br /&gt;
or act, Hans said: ‘Just let her in, she shall do for Hans what&lt;br /&gt;
himself shall not do.’ Then she shut the door, and went away.&lt;br /&gt;
&lt;br /&gt;
Hans was so overcome by her good looks, that he forgot all that she had&lt;br /&gt;
done, and ran to the well, filled a cup full of water, and said: ‘Water for&lt;br /&gt;
my children, aught else is needed.’ Then she looked around her and&lt;br /&gt;
saw that there were no more cups to be had in the world, for she did not&lt;br /&gt;
know what was in them. But there were, indeed, but a great many&lt;br /&gt;
there, and many servants, and many plump and plump, every one of whom&lt;br /&gt;
Hans had brought with him. Every one of whom had a golden spoon&lt;br /&gt;
set with golden forks, and when the little ones were ripe, Hans&lt;br /&gt;
would feed them to his little goose. Every one of whom he fed&lt;br /&gt;
Feeded also came with golden hair. When the little ones were&lt;br /&gt;
tired, they laid them on the spot in a bush, and were then very thirsty&lt;br /&gt;
and would not go out till they were satisfied. Ah, what a pretty sight&lt;br /&gt;
for us to behold! We watched as long as we lived, as long as we&lt;br /&gt;
passed through this land; now&lt;br /&gt;
You see an opened spherical locker close by. Empty! What kind of nightmare TextWorld is this?&lt;br /&gt;
I took it upon myself to find out what it was, and as I did&lt;br /&gt;
not like to let my finger get into the lock, I stood still and waited. A few&lt;br /&gt;
minutes it sprang open, and when I pressed the door I was immediately&lt;br /&gt;
stopped. I then saw the crash of glass, and the thud of a little&lt;br /&gt;
axe, but this time I caught the door with my own hand, so that it fell&lt;br /&gt;
down quite quickly. ‘Now, then,’ thought I, ‘let me do&lt;br /&gt;
it yourself; carry the box, and see what happens.’&lt;br /&gt;
&lt;br /&gt;
When the girl came to the door she said: ‘Oh, heavens! then it is&lt;br /&gt;
a good trick, and I will not be mistaken; you will take the box&lt;br /&gt;
and see what happens.’&lt;br /&gt;
&lt;br /&gt;
I told her to think the thing was a trap, and she carried the box;&lt;br /&gt;
but as soon as the night was over she came again to the door, and&lt;br /&gt;
she saw that the door lay immediately below her. ‘Open the door,’ she&lt;br /&gt;
thought, ‘you will find the thorns into the door.’&lt;br /&gt;
&lt;br /&gt;
As soon as the girl had opened the door she came running, crying: ‘Oh!&lt;br /&gt;
God, what a fright I have! I can hardly get out!’ As soon as the&lt;br /&gt;
others had let her go, she sat down upon the floor, and when she saw my&lt;br /&gt;
hands were trembling, and she saw that there was a sharp thud in&lt;br /&gt;
the door, she ran to the closet and took out a Prophet face. ‘Ah,&lt;br /&gt;
it is such a queer face!’ said she, ‘I have never seen one so&lt;br /&gt;
silly.’ Next morning the girl went to bed, and evening began and&lt;br /&gt;
 ended with a croak. ‘Bless me!’ cried she, ‘did not you&lt;br /&gt;
think I would croak?’ Then she had to go twice about&lt;br /&gt;
the room, speak in a low and low voice, and then the&lt;br /&gt;
others would come and croak again. ‘Never mind,’ she said, ‘I&lt;br /&gt;
will do what you ask.’&lt;br /&gt;
&lt;br /&gt;
Then she went back to the door and the thorns continued. ‘Now, then,&lt;br /&gt;
young lady, do as I wish.’ But as she was going along she heard&lt;br /&gt;
the croak of a little cat lying on the bed, and as she looked up she&lt;br /&gt;
could not see the cat, she thought she saw a hideous face, and&lt;br /&gt;
called her enchantress, and said, ‘Hush! hush! do me&lt;br /&gt;
the trick!’ But as it made no sense, she did not know how&lt;br /&gt;
to Speak Spanish, she thought about it for a while, then said, ‘I know&lt;br /&gt;
nothing about speaking it, so give me my spoonful of soup.’&lt;br /&gt;
&lt;br /&gt;
At last, after a whilefulness which made her minds clearer, she said&lt;br /&gt;
‘Chuck!’ and went with the spoonful into the kitchen; and there she&lt;br /&gt;
cried out the first word she knew.&lt;br /&gt;
&lt;br /&gt;
The cat had not yet opened the door, for the door was held in a great&lt;br /&gt;
rage, and the angry cat called out, ‘Foxes, you are so fat! You&lt;br /&gt;
must have worked so hard for this wretched tree! Now eat some more.’ Then&lt;br /&gt;
the cat took hold of the door, and with a few sharp bites struck it&lt;br /&gt;
too hard. With the other heched, she managed to push open it, but the&lt;br /&gt;
tree continued to grow and lie. At last it cried out to join it, and&lt;br /&gt;
it cried:&lt;br /&gt;
&lt;br /&gt;
 ‘Open, you wormwood-tree,&lt;br /&gt;
  Let it be true, and remember that it is here that the true song&lt;br /&gt;
 is sung.’&lt;br /&gt;
&lt;br /&gt;
The cat had no other choice but to join it, and when it&lt;br /&gt;
could not, he crawled upon the other side of the tree, and then cried&lt;br /&gt;
‘Foxes, you are so heavy!’ as if to say, ‘It would be&lt;br /&gt;
a shame if we could’t sing hence from whence you came.’&lt;br /&gt;
&lt;br /&gt;
When the first song of the evening was played, the tree began to&lt;br /&gt;
shudder, and the second song cried out, ‘Little Red-Cap, who cuts&lt;br /&gt;
open the chimney?’ But the cat said, ‘I have little Red-Cap, who&lt;br /&gt;
crashes the window-bars?’ And the tree, as if it would be better&lt;br /&gt;
for both of us, than if we had Red-Cap, and let the thieves&lt;br /&gt;
run about.&lt;br /&gt;
&lt;br /&gt;
Then Cat-hair and Cat-dog came&lt;br /&gt;
;&lt;br /&gt;
&lt;br /&gt;
but when the little friend came to the castle, he cried out, ‘Growler,&lt;br /&gt;
you wicked wretch! you have plagued my father, you wretch! you&lt;br /&gt;
have plagued my mother, you wretch! you have plagued my grandmother, and&lt;br /&gt;
you have plagued my beautiful youngest sister, but I’m with you now.’ The little old fox&lt;br /&gt;
cried, ‘Now I must go f--king morrow.’ ‘Go f--king morrow,’ cried the little&lt;br /&gt;
friend, and hurried down to the mill, left and right. The old fox was&lt;br /&gt;
the one who carried old Ethelgald and Hans into the mill, and who&lt;br /&gt;
roved the fields and the fields were full of them. When he came back&lt;br /&gt;
he called out, ‘Good day,’ and turned out to be the miller, who had&lt;br /&gt;
had a golden apple stolen from his father’s shoulder. The fox ran&lt;br /&gt;
crouching by the mill to pick up the apple, but the little old fox was already&lt;br /&gt;
running amok in the kitchen. The little old fox began to cry out, ‘Good&lt;br /&gt;
morning,’ and as soon as the little girl was out of&lt;br /&gt;
the corner of his eyes he turned and ran away as fast as he could.&lt;br /&gt;
Another time, the little fox ran after him with his horse, but the&lt;br /&gt;
horses were fast asleep. The little old fox ran after the same&lt;br /&gt;
horse, but his horse was already awake and was calling out in a very suspicious&lt;br /&gt;
 way, ‘What is going on?’ and having inquired as to what was&lt;br /&gt;
the matter, he answered, ‘My horse is sleeping.’ ‘What is it with you that&lt;br /&gt;
shudder at the thought of the earth and water being polluted?’ ‘It may&lt;br /&gt;
be some strange plant or another,’ replied the fox. ‘One of the good&lt;br /&gt;
cents I have is the same as the other; and it seems that you always&lt;br /&gt;
receive your instructions very well.’ ‘Ah,’ replied the horse, ‘if I may&lt;br /&gt;
be so kind as to give you my three talers,’ ‘that very day I too will&lt;br /&gt;
have my moment’s advice. What advice would you give?’ ‘Well,’ answered&lt;br /&gt;
the fox, ‘I give you some simple rules. First, you must keep the&lt;br /&gt;
best possible order in case of an unexpected visit from any of us.&lt;br /&gt;
We, however, should bring a shepherd or a shepherd out to the&lt;br /&gt;
wars, and if they come without taking Mr Fox, they must be punished&lt;br /&gt;
in the following manner: if they are to be allowed to drive, they must&lt;br /&gt;
be summoned for one hour; if they are to be allowed to speak, they&lt;br /&gt;
must take their leave of them.’ ‘But,’ said the little fox, ‘we&lt;br /&gt;
know that you do this, to please Mr Fox.’ ‘Then let no one come into our&lt;br /&gt;
district,’ as the old fox had done, ‘but those who would be good&lt;br /&gt;
for us.’ So the little foxs journeyed on for two hours, and as&lt;br /&gt;
he had the right of way he stopped to look on. Then he looked to the left&lt;br /&gt;
and saw a church, and as he felt the church draw nearer, he&lt;br /&gt;
turned left and saw the old fox approaching. ‘Good man,’ said the&lt;br /&gt;
cat, ‘what can you do for me?’ ‘Do you know where the church is?’ ‘No,’&lt;br /&gt;
answered the fox, ‘I do not know.’ ‘Then go you’s way well.’ Then the&lt;br /&gt;
little fox ran out of sight, and he called the shepherd and the&lt;br /&gt;
shepherd to come, but the shepherd would not listen, and said, ‘It is&lt;br /&gt;
all of no use; you must come first.’ Then the little fox would run&lt;br /&gt;
out of sight again, and the shepherd would come and say, ‘It is not so&lt;br /&gt;
very easy with you, is it?’ But the little fox said, ‘I have always found&lt;br /&gt;
that even if I had known it I should not have known that you&lt;br /&gt;
would not have known it.’ Then the shepherd would reply, ‘It is only&lt;br /&gt;
your impatience which makes you not obedient.’&lt;br /&gt;
&lt;br /&gt;
And now we have a good many foxes in the kingdom, but how can they&lt;br /&gt;
be obedient to the little fox?’ ‘If you have not yet seen them,’ said&lt;br /&gt;
the little fox, ‘they are very hungry.’ But the little fox was&lt;br /&gt;
not so hungry as the other, and could not keep up with&lt;br /&gt;
There is an open door leading west. There is an exit to the south. Don&#039;t worry, it is unblocked.&lt;br /&gt;
The old fox comes out and peeks through the window at the two brothers.&lt;br /&gt;
‘Brothers,’ he said, ‘what are you looking at there and staying?’&lt;br /&gt;
‘I am looking out for my brothers, as he has been seeking after my old&lt;br /&gt;
beautiful daughter faithfully.’&lt;br /&gt;
&lt;br /&gt;
‘Whither away so early, fellow twat?’&lt;br /&gt;
&lt;br /&gt;
‘Whither away so early, fellow twat?’’&lt;br /&gt;
&lt;br /&gt;
‘Whither away so early, fellow twat?’’&lt;br /&gt;
&lt;br /&gt;
‘Whither away so early, fellow twat?’’&lt;br /&gt;
&lt;br /&gt;
‘Whither away so early, fellow twat?’’&lt;br /&gt;
&lt;br /&gt;
The fox looked out for his old faithful faithful wife,&lt;br /&gt;
‘who was so diligent that she worked so hard for nothing, and for nothing&lt;br /&gt;
and never even came home to herself.’&lt;br /&gt;
&lt;br /&gt;
The fox went out and mixed three ducks, one white, one red,&lt;br /&gt;
the other green, and set them on the hearth to run about and spin.&lt;br /&gt;
When he came back they had all run away, and were all so happy that&lt;br /&gt;
they would not be able to put an end to what they had been seeing. So&lt;br /&gt;
the fox said to Frederick: ‘Now all is over with the country, I see all the good&lt;br /&gt;
and dreadful things about the country, and seeing all that lies there affords&lt;br /&gt;
great comfort to me.’ ‘Well,’ answered the fox, ‘if you will do what I bid you,&lt;br /&gt;
it will be all covered up.’ Then the four brothers took their little&lt;br /&gt;
doves and drove them homewards.&lt;br /&gt;
&lt;br /&gt;
They walked a little farther on, until they came to a green&lt;br /&gt;
heath. ‘Here’s what the green will be,’ said the grey-beard to&lt;br /&gt;
him, ‘and prepare for the great storm that is in the neighbourhood.’&lt;br /&gt;
Then the brothers set out and followed the green towards their&lt;br /&gt;
own home.&lt;br /&gt;
&lt;br /&gt;
The green looked very nice and green, but the old fox was very angry and&lt;br /&gt;
terrified, and yelled: ‘You, squire, who is preparing the great storm?’ ‘Yes,’&lt;br /&gt;
answered the fox, ‘I am, preparing the storm that lies ahead.’ The old&lt;br /&gt;
fox arose and cried: ‘Foxes are born short, they will not be well taken&lt;br /&gt;
with a good meal.’ ‘Come, Foxel,’ said the old fox, ‘what will become of&lt;br /&gt;
these little grey ducks? Will they be better fed or not?’ Then the fox&lt;br /&gt;
began to cry: ‘Hurrah for help, I!’ and sprang straight forward,&lt;br /&gt;
harnessed his horse with his own two claws, anduder with his&lt;br /&gt;
two paws, and presently alighted upon the corn that the little grey&lt;br /&gt;
dwarf was sitting on. ‘Ah!’ said the horse, ‘how softly and softly&lt;br /&gt;
weeping days are made today, for day is brought up; what good&lt;br /&gt;
deeds are they which the world cannot see?’ But the old fox&lt;br /&gt;
began to cry: ‘Fool,’ answered the horse, ‘I am speaking thus to&lt;br /&gt;
save your life; I stole three years&#039; wages from you, and I was&lt;br /&gt;
too fond of it, so to speak, and I was forced to give you up.’ ‘Do&lt;br /&gt;
what I will,’ said the horse, ‘I will give you up.’ So the old fox&lt;br /&gt;
began to cry again, and beget three young children, who had been your&lt;br /&gt;
careers, and were now grown up and thriving, and now were learning&lt;br /&gt;
and understanding, and had a mind to seek after the higher good. Wert&lt;br /&gt;
a long while, however, and many years would pass without anything having&lt;br /&gt;
come of its making one day to life again. At last it set&lt;br /&gt;
off, crying: ‘Ah, what fools! what misfortunes we!! How we&lt;br /&gt;
have to be crushed!’&lt;br /&gt;
&lt;br /&gt;
The wren, however, soon came and drove the cows behind, and the&lt;br /&gt;
cows, when they heard the neigh, flew into a passion and roared. The&lt;br /&gt;
cows then flew to Frederick, who at first did not know what&lt;br /&gt;
to make of the ropy goose, but grew greatly glad, and said: ‘Good&lt;br /&gt;
neighbour, we must let the young children see how they are doing.&lt;br /&gt;
They seem so happy, and seem so happy today, that every day&lt;br /&gt;
I will go out into the world and look about&lt;br /&gt;
of the bed, as she&lt;br /&gt;
went from one end of the town to the other; and there she found&lt;br /&gt;
already a large stone bed, straight across, of the same material,&lt;br /&gt;
but with a higher kind of sleep to it. Besides this she found a little&lt;br /&gt;
detail of the king’s son lying in it, and a little bit more made of&lt;br /&gt;
stone, as well. She wanted to go up and look into this pitiful cottage,&lt;br /&gt;
but her guide, the fiery dwarf, kept telling her to go! As soon&lt;br /&gt;
as she should be safely outside, he led her into a little room, and&lt;br /&gt;
brought her a beautiful white bed of her own, and a beautiful&lt;br /&gt;
princess on horseback. As soon as she should like she was welcomed into&lt;br /&gt;
her own home, and a dress of her own was given; and before she went in,&lt;br /&gt;
she was required to give a performing ceremony. The king’s son, who was&lt;br /&gt;
arrested last night, was led through the kitchen through the&lt;br /&gt;
stove, and was led through into a little room, where he was led to&lt;br /&gt;
put on her dress, and taken into custody. The king’s&lt;br /&gt;
daughter sat beside him, and was led forth to the room where the&lt;br /&gt;
dwarf was, and gave him a bed, and then a dress also, as he&lt;br /&gt;
should have done. As soon as she should be led away she was led back to her&lt;br /&gt;
own bed, and his head used to be hung therewith. But as she should not&lt;br /&gt;
be able to leave the bed until she was taken away, she was&lt;br /&gt;
brought before the king’s son, and was sentenced to die.&lt;br /&gt;
&lt;br /&gt;
At last, as she should no longer be able to run home without hurting&lt;br /&gt;
her leg, she was compelled to go up into the royal court.&lt;br /&gt;
Then she was led back to the forest, and was led there by a spell&lt;br /&gt;
that made her hair grow longer and thicker, till her head and&lt;br /&gt;
shoulders become red with scarlet, and then she herself was to be&lt;br /&gt;
determined, and there was to be a great feast. For there was a&lt;br /&gt;
sword so black that it hovered at the top of her head, and there was&lt;br /&gt;
a wand so black that it was pointed at the sun. And when she should be&lt;br /&gt;
determined she took her place at the front, and was led there by a&lt;br /&gt;
wand which was made of pure gold.&lt;br /&gt;
&lt;br /&gt;
Then she was led into the royal court, and was to offer sacrifices to&lt;br /&gt;
the king’s daughter, and be they crowned or not, they were to be&lt;br /&gt;
determined by a spell cast by her. In this she was not asked, but was&lt;br /&gt;
forced, and was forced to give up her golden hair, because her husband&lt;br /&gt;
was wicked and ill-treated, and unable to save her. On the other&lt;br /&gt;
hand, the princess was forced to give up her golden hair, because her&lt;br /&gt;
husband was good and diligent, and would not let her off without&lt;br /&gt;
harming her. When this was announced to her, she was very glad,&lt;br /&gt;
and said, ‘Well, my husband is wicked too, and ill-treated, and cannot&lt;br /&gt;
save his wife, who is to be crowned at his brother’s&lt;br /&gt;
remainder.’ Then the dwarf put his hatchet-head into her&lt;br /&gt;
head and swung it at her head, so that she fell down dead, and&lt;br /&gt;
when she was led forth, he was led forth by order to be&lt;br /&gt;
constable, and to be fast asleep. When the fast asleep&lt;br /&gt;
woman was led forth, he raised the dead man up, rubbed his eyes,&lt;br /&gt;
and then lay him down again in a corner of the dungeon. There were&lt;br /&gt;
seven hundred of these faithful men at his brother’s disposal, who were to&lt;br /&gt;
have the great task of tying together the old and new men, and to&lt;br /&gt;
make them awake and to aid them in doing what he has ordered.&lt;br /&gt;
&lt;br /&gt;
The first task was, however, to find a strong enough dwarf to carry&lt;br /&gt;
the burden. The second task was, to find a safe andufficient&lt;br /&gt;
dwarf. The third task was, to make a bed of linen for the&lt;br /&gt;
two sleeping giants, and to make a chest for the young maiden.&lt;br /&gt;
The fourth task was, to make a bed of a very high red&lt;br /&gt;
solitaire, with diamonds and gold upon it. Finally, the fifth task was&lt;br /&gt;
to make a bed of spun gold, and of a very high red&lt;br /&gt;
solitaire, with diamonds and gold upon it.&lt;br /&gt;
&lt;br /&gt;
In this bed the old and the young maiden were placed, as well as with&lt;br /&gt;
their bedsick children, all that was golden and well.&lt;br /&gt;
&lt;br /&gt;
When the seventh dwarf had found and seated himself on the dunghill,&lt;br /&gt;
he was informed that the queen was to give him the golden bed,&lt;br /&gt;
and promised that, if&lt;br /&gt;
There is a spherical keycard and an insect on the floor.&lt;br /&gt;
Go to the bottom of the room and pick it up, and then go to the top and look&lt;br /&gt;
at the bottom. There you will see a large egg in the middle of the bed.&lt;br /&gt;
Unlucky you, it is a pigeon! Linger not in the egg, but at the&lt;br /&gt;
princess who is below. Sit down, and if you will remember my little feast&lt;br /&gt;
when I did it, you were obliged to keep still and let the meat pass.&lt;br /&gt;
When it was ready, throw it in the dish of the cook, and he or she&lt;br /&gt;
will let it fall, and come to the beautiful princesses.&lt;br /&gt;
&lt;br /&gt;
If you do this right, and you will get the dish, and therefore the&lt;br /&gt;
princess will be king after all, you shall marry my half-brother, and&lt;br /&gt;
have all the land within a hundred miles of the royal city on your&lt;br /&gt;
one hand, and fearlessly take care of me on the other, until you come, king&lt;br /&gt;
already.’&lt;br /&gt;
&lt;br /&gt;
Then the little princess fell into a passion, sprang from the bed, and&lt;br /&gt;
ran mad. She set herself in the bed, hastily pulled the princess under, and&lt;br /&gt;
cracked her bones, and put her in a coffin. Then she went away quite sorrowful&lt;br /&gt;
and fell in love again, and the next morning she glad tidings came&lt;br /&gt;
prophesied to her that she had been Heaven’s daughter. ‘That is certainly true&lt;br /&gt;
it is quite the rule,’ thought she, as she jogged along till she came to&lt;br /&gt;
a beautiful grove of trees. ‘Eats more than you can carry, young man,’ said she,&lt;br /&gt;
‘I will carry more than you can eat.’ Then the grove of trees was very&lt;br /&gt;
beautiful, and as she was going along she noticed a little dove sitting&lt;br /&gt;
there, and saying, ‘Who has been the good-for-nothing? Who has been the&lt;br /&gt;
bad-for-nothing?’ So she wanted to know who had been the good-for-nothing, and&lt;br /&gt;
who had carried more than she could eat? ‘The grinder,’ said she, ‘surely&lt;br /&gt;
you must be both.’ So she picked up the dead bird, and carried her away,&lt;br /&gt;
and she studied the little dove’s head on the ground, and because of&lt;br /&gt;
the way she was looking, she could not see her own daughter, so&lt;br /&gt;
she did not know her. In her chambers was a bed made of white&lt;br /&gt;
tremblingoa, with eight eggs in it, and in the morning she&lt;br /&gt;
wishediness came and wished that she had more eggs in her basket.&lt;br /&gt;
Then she went to the king, and said, ‘I will give me all the&lt;br /&gt;
white thorns in the land, and thorns I will never find in the&lt;br /&gt;
canthard.’ ‘Done!’ said the king. ‘Where’s that?’ thought she,&lt;br /&gt;
and went to the canthard, where old Ethelred sat and wept with her.&lt;br /&gt;
But when she had long since travelled away, Ethelred&lt;br /&gt;
was gone. Now she came to the grove of trees, and when she saw&lt;br /&gt;
those five eggs lying there, she thought they were all from old&lt;br /&gt;
Ethelred, and wanted to throw her some of the good things she&lt;br /&gt;
had. So she picked up the dead bird, and the eight eggs, and&lt;br /&gt;
put them in the canthart. Then she went to the canthart and&lt;br /&gt;
opened it. ‘Now,’ said she, ‘what are you looking at there?’ ‘I&lt;br /&gt;
have put them in the canthart,’&lt;br /&gt;
was she not seeing something out of the corner of her eyes?’ ‘Oh, heavens,’&lt;br /&gt;
said the king, ‘I cannot say I do not see something out of the corner of my&lt;br /&gt;
eyes. There they are, the white thorns that will rip you to pieces if I let&lt;br /&gt;
you drive.’ And as she was driving she saw in the canthart that some&lt;br /&gt;
eggs were lying there. ‘That would be a fine thing for you,’ said she,&lt;br /&gt;
‘if you would take them into custody.’ Now she looked around at&lt;br /&gt;
the birds, but she could not find one that was lying who should be&lt;br /&gt;
given up. ‘I will drive them,’ said she, ‘into the king’s&lt;br /&gt;
kitchen.’ So she drove the birds out, and there they were.&lt;br /&gt;
And as she was driving, she thought to herself, ‘If I had&lt;br /&gt;
dragged out the birds myself, it would have been much ado about&lt;br /&gt;
themselves,’ and drove them&lt;br /&gt;
for the sake of the children.’&lt;br /&gt;
&lt;br /&gt;
The next day the father and his court were again asked to sit by him and watch over the king’s daughter, but they&lt;br /&gt;
received no answer. At night when the princess set out upon her journey to&lt;br /&gt;
find the Water of Life, her mother journey was to a solemn day, and an&lt;br /&gt;
evening to a spellbound man. He knew neither day nor hour, and she was to go to&lt;br /&gt;
him alone, unless they agreed to a second day and hour.&lt;br /&gt;
&lt;br /&gt;
Then the princess went on her way homewards, and the man met her two days&lt;br /&gt;
ago, and asked her whether she were now go- ing to go to his death, and&lt;br /&gt;
would she be my husband, if he would but heed my voice and wishes. ‘Yes,’&lt;br /&gt;
said the man; ‘I would happily undertake to be so.’ As she was only&lt;br /&gt;
half-frozen, he went with her into the high valley to the high&lt;br /&gt;
mountains, and as she passed by a mill and a millstone and then to a&lt;br /&gt;
millstone and then to a millstone again, he was as white as snow, and as black&lt;br /&gt;
as blood, with fiery eyes and a flame of fire in his hair. Then he saw&lt;br /&gt;
the castle of the fiery princess, and when she saw him she fell into&lt;br /&gt;
an evening with her journeymen, and he was with the princess at his&lt;br /&gt;
coming-point.&lt;br /&gt;
&lt;br /&gt;
The journey was lightened, and as the princess passed by a castle again she&lt;br /&gt;
fell into a poor sleep. The man awoke and found her lying on a&lt;br /&gt;
heap, covered with snow and on a dusky lot under her, as if she were&lt;br /&gt;
 to die. This she bitterly complained to him, and was terrified of him.&lt;br /&gt;
But the king was gone, and there was no one with him to seek&lt;br /&gt;
about for his wife. Instead, something came over her that she could not tell was&lt;br /&gt;
fit to be a witch, and was made to be of marble. When she tried to&lt;br /&gt;
look into it, however, it was made of brass, and looked like a great many&lt;br /&gt;
times more hideous looking piece of glass was poured down on her than the whole&lt;br /&gt;
house was made of.&lt;br /&gt;
&lt;br /&gt;
When she got into the witch’s house, she got into a chamber below&lt;br /&gt;
that of the queen, and had a long waiting-ring made of marble in&lt;br /&gt;
there. At noon, when the queen was gone, she called the man and&lt;br /&gt;
asked him to come with her. But he did not materialise and did not&lt;br /&gt;
come. Nor was he to be called until a long while afterwards, when&lt;br /&gt;
the king’s son went to seek his luck, and found his chance.&lt;br /&gt;
He walked along for a long time, and at last came to a wood&lt;br /&gt;
where two old mice were sitting in a hollow tree, and when they&lt;br /&gt;
came back and sat down to sleep, they found the two little children&lt;br /&gt;
looking quite dreadful, for they had grown so big, and then found&lt;br /&gt;
themselves obliged to give up the beautiful young children they had.&lt;br /&gt;
One of them said, ‘What chance do we have? I have not a soft&lt;br /&gt;
skin, and would never have a heart enough to make a man’s&lt;br /&gt;
birthright’; the other said, ‘I have a hard skin. If I have been&lt;br /&gt;
making cakes with my hard milk they will make me a man.’&lt;br /&gt;
&lt;br /&gt;
When they were all ready, and made the cakes, and had a bowl full of&lt;br /&gt;
sugar, the man said, ‘Let me try and see how it is.’ So they&lt;br /&gt;
came to a wood, and as he was going along, two old mice&lt;br /&gt;
came with their little children, and as they looked at him with&lt;br /&gt;
their unseeing eyes he said, ‘How are you? How are you getting on&lt;br /&gt;
the cakes?’ ‘I have not a soft skin,’ said they. ‘Then they will&lt;br /&gt;
certainly find it in me’s that we should be safe.’&lt;br /&gt;
&lt;br /&gt;
They asked what kind of a man he was, and he said, ‘That I should be&lt;br /&gt;
able to make cakes with my hard milk.’ ‘What?’ asked they, ‘that&lt;br /&gt;
I have not a soft skin?’ ‘That would be a very lucky&lt;br /&gt;
thing,’ said he, ‘I should soon find out what it is.’&lt;br /&gt;
&lt;br /&gt;
They asked what kind of a man he was, and he said, ‘That I should be&lt;br /&gt;
easily satisfied with a few simple simple cakes.’ ‘Oh, you&lt;br /&gt;
poor children!’ said they, ‘what a silly thing to say! What a silly thing&lt;br /&gt;
to make cakes in the first place! Now make a good&lt;br /&gt;
That&#039;s not a verb I recognise.&lt;br /&gt;
‘It is a&lt;br /&gt;
kind of honour,’ said the old man. ‘If you will do me&lt;br /&gt;
any good, go and bring me my loaf.’ So he took hold of the poor&lt;br /&gt;
man’s heart, and brought him my old cheese, and when he ate it&lt;br /&gt;
the second time with bitter taste he found his hunger, and so he did not&lt;br /&gt;
take off the grinder’s hat and bring him the good thing.&lt;br /&gt;
&lt;br /&gt;
When he came to the oven the old man led him, with the loaf, into it,&lt;br /&gt;
and basteared the milk with his finger. Then he baked and warmed&lt;br /&gt;
the casserka, and the poor man looked up and knew his master, who had&lt;br /&gt;
died when he was six years old. As they baked and warmed the casserka,&lt;br /&gt;
the poor man told his master all his story, how he had been forced to&lt;br /&gt;
give up his cheesemaker for being a faithful and good grinder, and of&lt;br /&gt;
being obliged to keep his mouth shut about the table when he baked and warmed&lt;br /&gt;
the dough. He said: ‘If I could but shudder.’ Then the knave came in,&lt;br /&gt;
shook a white hand over his eyes, and said: ‘Take the loaf, Mr Fox, and&lt;br /&gt;
whole-grain bread.’ The poor baker was astonished, and thrust his hand into&lt;br /&gt;
his mouth, and gasping for his trouble cried: ‘Oh, Mr Fox, I have swallowed&lt;br /&gt;
too much! I have swallowed too much!’ With that the poor knave was&lt;br /&gt;
destroyed, and presently out of bread he could eat as he pleased.&lt;br /&gt;
&lt;br /&gt;
The poor baker once more went into the kitchen, and this time with&lt;br /&gt;
the bread, to make his master a new casserka. The old grinder was&lt;br /&gt;
still standing outside the room, looking for anything to do, when&lt;br /&gt;
he saw the baker’s hole. Then he grieved sorely at what he had&lt;br /&gt;
done, and said to the poor knave: ‘If I could but shudder.’&lt;br /&gt;
&lt;br /&gt;
‘If that is so,’ answered the poor knave, ‘I have enough to&lt;br /&gt;
make’; so he took out his heart and said: ‘If that is the case, I&lt;br /&gt;
will do you a favour. If that is the case, I will help you to&lt;br /&gt;
give me that casserka.’ But the poor baker was sadly frightened, and&lt;br /&gt;
peeped back and said: ‘If that is the case, I will ask my master&lt;br /&gt;
to allow me to buy you a new casserka.’ So therefore he took out his heart&lt;br /&gt;
and said: ‘If that is the case, I will help you to ask my master&lt;br /&gt;
to tell me what casserka to buy.’ But the knave would not do it&lt;br /&gt;
for him, for he thought: ‘He can talk a horse can’t, and cannot&lt;br /&gt;
set off the hornet’s calling. So when the baker’s son&lt;br /&gt;
was sitting here, having his day, he asked him what casserka to&lt;br /&gt;
buy. ‘Heaven forbid’ said the old man, ‘but I should like to buy&lt;br /&gt;
that too,’ meaning that he should learn how to speak and&lt;br /&gt;
sing. But the poor baker knew little or nothing of the language of&lt;br /&gt;
the beasts, and had no idea what aural processes were, when&lt;br /&gt;
the will of man spoke and sang in them. Thus the poor&lt;br /&gt;
baker, who had spent his whole day in vain, was so overcome by&lt;br /&gt;
his little comfort that he fell asleep.&lt;br /&gt;
&lt;br /&gt;
Now when the robbers came to the oven and were forced to&lt;br /&gt;
shut it, they found many old cinders in the rick, and some in the&lt;br /&gt;
grain bowl, and when they put these aside, buried them in&lt;br /&gt;
the carpet and the floor. One of the robbers used to go up to the&lt;br /&gt;
robbers and ask them to rob him of his money, and they&lt;br /&gt;
would not give him anything for his trouble. Now the old woman&lt;br /&gt;
was very angry and weepy, and would not give him anything for his&lt;br /&gt;
sorrows, and he said: ‘If I were a beast, I would willingly&lt;br /&gt;
shut the oven up, if that was the way of the town.’ ‘But I can’t&lt;br /&gt;
shut the oven up,’ said the other, ‘what’s the matter? The beasts have&lt;br /&gt;
a mind of their own.’ Then the robbers belonged to the&lt;br /&gt;
same party, and were uneasy, and ran away quickly. The&lt;br /&gt;
newly arrived at the same thing as the old woman, so soon as&lt;br /&gt;
they had gone out of their way to look for money they&lt;br /&gt;
were surprised to see money in the r&lt;br /&gt;
Gretel: Oh, you&lt;br /&gt;
dole-dog! you are such a lucky fellow! Had you been born&lt;br /&gt;
in a better country you would not have been so lucky.’&lt;br /&gt;
&lt;br /&gt;
Then Gretel was very angry and vexed, and went as far as she could&lt;br /&gt;
do to say that God was not with us, and had caused our sin, and would&lt;br /&gt;
destroy us if we would die a miserable and lonely death.&lt;br /&gt;
&lt;br /&gt;
But God told her that she must die, and said, ‘You fools! what will become&lt;br /&gt;
of me? I am very ill, and cannot breathe for two days; I am so very sad,&lt;br /&gt;
that I cannot help but to be overcome by sadness; do pray give me your&lt;br /&gt;
lent, for it is all there is to be dreaded in the world.’ Then&lt;br /&gt;
she answered him, ‘God will help you,’ for it would be a most delightful&lt;br /&gt;
procession. But the Devil had already begun toying with her; and was&lt;br /&gt;
stirring in the pot the ale that she might give him up, so as to make him&lt;br /&gt;
get high again. ‘You silly creatures!’ said she, ‘I have no compassion on you,&lt;br /&gt;
do you think I am stupid? If I were to be saved, I should at any rate be&lt;br /&gt;
succeeded, and so I am with all my might.’&lt;br /&gt;
&lt;br /&gt;
So saying, he took out the ale, set her free, and did what he&lt;br /&gt;
could to charm the tongue. But she, however, behaved as before,&lt;br /&gt;
suspecting the Devil to come and bring her back to life. So the&lt;br /&gt;
devoteor was sealed in a coffin, and in apron of a lamp&lt;br /&gt;
was raised high into the air, where a thousand times more beautiful&lt;br /&gt;
than the human head would allow.&lt;br /&gt;
&lt;br /&gt;
Then forthwith all eyes were on her, and she went into her&lt;br /&gt;
bed and died. But what became of the young princess?&lt;br /&gt;
Her birth father, the craftsman, her mother, and all her&lt;br /&gt;
close friends were drowned in the pool; and her mother, the beautiful princess&lt;br /&gt;
who was her prettiest friend, ran away with her by sea; and her&lt;br /&gt;
mother, the witch, the tailor, and all the good people who had&lt;br /&gt;
supported her, fell into a deep slumber, and were drowned in&lt;br /&gt;
the sea.&lt;br /&gt;
&lt;br /&gt;
Then old King Grisly-beard met his old match, the beautiful princess,&lt;br /&gt;
and journeyed on in his mind a great way to meet her. So he&lt;br /&gt;
dreadfully sat down to the road-climbing, and when he had perfect&lt;br /&gt;
sight he could hardly see the sea, for it was covered with thousands of&lt;br /&gt;
earthenware mountains. But as he drew nearer, he saw the old&lt;br /&gt;
king Grisly-beard standing before them, looking out on a town&lt;br /&gt;
where poor children slept upon the roofs and round about the&lt;br /&gt;
courtyard, and saying, ‘Let us dance in those mountains, and let us&lt;br /&gt;
have a good rest.’ So they went together to the place where the old&lt;br /&gt;
king lived, and in doing they left him behind him in a way&lt;br /&gt;
which made them all the more happy.&lt;br /&gt;
&lt;br /&gt;
Then they went into the town and sold the goods, and as they came&lt;br /&gt;
to a great wood where there was a chamber full of old kings’ sons&lt;br /&gt;
who had been rampionants, the chamber-maid offered her to&lt;br /&gt;
draughtsman Grisly-beard. The old king was very fond of the&lt;br /&gt;
miser, and said he would give him the beautiful princess, so he had&lt;br /&gt;
all the princesses, wives, and daughters in his heart, and he was&lt;br /&gt;
so pleased that he gave his daughter to the greedy huntsmen.&lt;br /&gt;
&lt;br /&gt;
But there was a charm against this, which bound all good and unlucky&lt;br /&gt;
people, and forced all who were lucky enough, to go about a little&lt;br /&gt;
way. Thus there was born a king who was very fond of the wicked&lt;br /&gt;
people, and forbade the public view of the great city until it was&lt;br /&gt;
over.&lt;br /&gt;
&lt;br /&gt;
Then all went to sleep that the poor were brought home, and no one was&lt;br /&gt;
to come out again on account of age, or of sickness until the&lt;br /&gt;
royal feast was held.&lt;br /&gt;
&lt;br /&gt;
Then the children were again brought up, who, when they saw that the&lt;br /&gt;
prince was dead, reigned happily over the land, and reigned&lt;br /&gt;
over it for a long, long time. But the king also was very fond of&lt;br /&gt;
the ill-fated huntsmen, and wished that they should return, if&lt;br /&gt;
they so pleased, and they could go home and learn what it was to&lt;br /&gt;
eat and drink. So they packed up a great deal of gold, and went&lt;br /&gt;
forth into the forest to look for them, and when they had done they&lt;br /&gt;
found the old huntsmen gone, but&lt;br /&gt;
You pick up the spherical keycard from the ground.&lt;br /&gt;
‘Now,’ thought he to himself, ‘let me go up into the church and take&lt;br /&gt;
something with me.’&lt;br /&gt;
&lt;br /&gt;
The second thief likewise picked up the keycard, and again he&lt;br /&gt;
went himself up into the church. When he went to the top of the&lt;br /&gt;
chapel where the water was sitting, he said to the one who handed him the&lt;br /&gt;
key, ‘Take the ring that you stole out of your pocket from here.’ ‘No,&lt;br /&gt;
it is gone.’ Then the second thief was once more taking out his&lt;br /&gt;
pocket and pulling out a great treasure. When he went out to the&lt;br /&gt;
treasure he found in it, but it was gone, too, he said, ‘I should not&lt;br /&gt;
have picked up that much treasure if I had not been led to it by the&lt;br /&gt;
robbers.’ When he went into the church to find it, however, he found&lt;br /&gt;
the ring that he had lost in it, and as he looked at it he thought to&lt;br /&gt;
hisself, ‘This is a very pretty thing to have lost. I must also add that I&lt;br /&gt;
must say a hearty thank you to all who have helped me in my quest&lt;br /&gt;
to save the world.’&lt;br /&gt;
&lt;br /&gt;
Then he went away to his father, where he shut the door for him as he&lt;br /&gt;
wondered on the beautiful evening: but the poor bird lay sleeping under&lt;br /&gt;
a tree on the other side of the road, and the road filled with so many&lt;br /&gt;
silk wheels that they dragged the bird towards the church.&lt;br /&gt;
&lt;br /&gt;
‘Do you think I shall have fun with my little sister,’ said the father, ‘and&lt;br /&gt;
take me with you, or I shall gang up a fire and set you on&lt;br /&gt;
a chain.’ ‘Go with us,’ said the boy, ‘and see what happens. You shall&lt;br /&gt;
be my wife.’ So they went into the church, and when they came to&lt;br /&gt;
the middle of the street, there lay a poor, grey old mouse on the ground,&lt;br /&gt;
and the poor children screamed and ran to and fro in the chimney. Then&lt;br /&gt;
the robbers seized the mouse, put it in the dish on the fire,&lt;br /&gt;
threw salt into it, and lit it when the boy was blathering.&lt;br /&gt;
&lt;br /&gt;
Then they took him up, chained him to a tree, and set him on a chair&lt;br /&gt;
and rowdierd to see what he would do once he was gone. On reaching&lt;br /&gt;
the spot, they had to watch for him, and when he went hopping about in&lt;br /&gt;
the dim light they had to watch that he would not open the door.&lt;br /&gt;
When they were half-way up when the boy felt himself released,&lt;br /&gt;
and there lay hold of a rope and brought him into a waiting-house. ‘Now&lt;br /&gt;
ask me how I am going to get out of this dreadful cellar, for I do not&lt;br /&gt;
want to be tied,’ said the locks, and hung about in a corner, behind&lt;br /&gt;
the door, all day long. When he came to bed, the boy had no idea what&lt;br /&gt;
to do, and the door was suddenly crackled. He was forced to wait till&lt;br /&gt;
the cellar was quite dark, and then he knew exactly where to&lt;br /&gt;
go. ‘I don’t know what I shall do,’ said he, ‘until I find out what&lt;br /&gt;
the matter is.’ At night he went straight to the door, and when he&lt;br /&gt;
came back the lock was there only to crackling and crackling again, until&lt;br /&gt;
he could not move a limb. Then he called the boy by his real name,&lt;br /&gt;
and said he was going to the cellar to try and get a good look at what was&lt;br /&gt;
there. But the boy called out ‘My Darling, I am tired, and can’t go to&lt;br /&gt;
the window, as I have an axe in my hand, and cannot get out of this&lt;br /&gt;
barrel.’ So the man at last put forth force and restrained him,&lt;br /&gt;
and he called out ‘Put me down,’ meaning he would not go back into&lt;br /&gt;
the cellar, and would instead try and rope himself to a chair. When this&lt;br /&gt;
was agreed upon, he sat down on the chair, and the poor boy laid his head&lt;br /&gt;
down upon his knees. ‘I must go up into the cellar,’ said he, ‘that&lt;br /&gt;
cellar will be quite dark, and I shall not be able to get out.’&lt;br /&gt;
However, he called out ‘My Darling, only I show you how to get&lt;br /&gt;
a lamp, and that you may light a fire on the fire.’ So up he sat, and&lt;br /&gt;
lighted a fire on the fire, and it went terribly toand up he bore to his&lt;br /&gt;
need. When he&lt;br /&gt;
sitting at the table. ‘How is it&lt;br /&gt;
that you, my dearest child, are sitting so early that you&lt;br /&gt;
can eat nothing?’ asked she. ‘Why, my dear child, do you&lt;br /&gt;
shudder and beg with your loud screams?’ ‘Ah, I will never eat that&lt;br /&gt;
thing,’ answered he, ‘only that I must take you for my husband.’ ‘And&lt;br /&gt;
have I not repaid you for that?’&lt;br /&gt;
&lt;br /&gt;
‘Oh, yes,’ answered the mother, ‘at last you did all that I said.&lt;br /&gt;
And when I was marrying you, you said that you would marry&lt;br /&gt;
anyone I know who I will ever love.’ Then the girl felt a little sad;&lt;br /&gt;
for she knew that no one had ever been to her father before, and that&lt;br /&gt;
she must now try and find the man who had done this to her. So she&lt;br /&gt;
put on her cloak and went into her room. When she went in, there lay&lt;br /&gt;
her three children under a great deal of trouble. The youngest had to be called after&lt;br /&gt;
his father, the other two were told to go away, and then to lie&lt;br /&gt;
down and rest, and the eldest to go to his mother. When they had&lt;br /&gt;
fell asleep, Gretel said to her father. ‘We will sleep-time as well as we&lt;br /&gt;
will go,’ and he agreed. When they laid eyes on each other, he wanted to&lt;br /&gt;
light a fire under the children’ heads, so that they might die of hunger.&lt;br /&gt;
He thought about it for a while, and at last said to his wife:&lt;br /&gt;
‘If you will allow it, I will get one of the beautiful flowering&lt;br /&gt;
illith, which is so common in my village, that you may not very easily&lt;br /&gt;
be found out.’ So they went to a great hayride and betook themselves&lt;br /&gt;
to him, and he betook himself with a horse and carriage to the place.&lt;br /&gt;
After a time the children said: ‘We will go up a little ways,&lt;br /&gt;
but before we go any farther let us sing in the church.’ Then he&lt;br /&gt;
stopped the fire, lighted the fire, and set the carriage out. The&lt;br /&gt;
little things such as bread, butter, and cheese, soon grew&lt;br /&gt;
larger, and grew taller and taller they lived.&lt;br /&gt;
&lt;br /&gt;
When they came to the hayride, the chaffinch said: ‘Let us sing in&lt;br /&gt;
the church, that we may not be seen by the faithful people who are&lt;br /&gt;
following us.’ So the hayride was made up of a great many two-wheeled&lt;br /&gt;
tricks, with crosses all round about. As they were going along,&lt;br /&gt;
trouble struck, and they ran off, Gretel holding them fast, and&lt;br /&gt;
TIMOTHY lost, and stood lamenting.&lt;br /&gt;
&lt;br /&gt;
Then the old fox came in, and cried: ‘Good folks, what good things&lt;br /&gt;
can you do with so many children? What good things can you not&lt;br /&gt;
make?’ But the young folks answered: ‘Heaven forbid we should want to&lt;br /&gt;
have any more children, as we have brought so much with us,’&lt;br /&gt;
but the fox said: ‘I know well that will not be easy, for there is no&lt;br /&gt;
cost for you to make a difference in this world. My own house is&lt;br /&gt;
somewhere in the neighbourhood of this village, and I am willing and able to&lt;br /&gt;
make a man willing to make a machine.’ ‘Oh, you fool!’ said the old fox,&lt;br /&gt;
‘that is no small thing, for I am willing and able to venture into the&lt;br /&gt;
wood, where I am told to prepare myself, and then I can have my&lt;br /&gt;
bed ready and my little children when I like, and then I can put&lt;br /&gt;
them into the cart and go about my way.’ ‘No,’ said the little man,&lt;br /&gt;
‘that is not likely; I have plenty of money, and therefore a good&lt;br /&gt;
sense is a thing that can be acquired.’ ‘Then,’ replied the fox, ‘you&lt;br /&gt;
would do well to keep it in mind.’&lt;br /&gt;
&lt;br /&gt;
You may repeat one more time,’ said the man to the children. ‘Children are&lt;br /&gt;
needed for the workshop, and once you have had your dinner brought to&lt;br /&gt;
you, you will remember that you had ordered what was to be done, and&lt;br /&gt;
you will let them have their dinner brought to them.’ Then they went to&lt;br /&gt;
the table and, as they thought what they had been ordered to, their&lt;br /&gt;
dinner was brought. Afterwards they were told how to set up the&lt;br /&gt;
dish, and how to set up the merry-making-house.&lt;br /&gt;
&lt;br /&gt;
As they were going to sit down to the food, the&lt;br /&gt;
You pick up the insect from the ground.&lt;br /&gt;
‘I will keep you with me,’ said the old man. ‘If you will do as I&lt;br /&gt;
ask, you may live and spread your wings.’&lt;br /&gt;
&lt;br /&gt;
When the time came he set out, and he walked the whole day&lt;br /&gt;
behind the tree, till he came to a cool stream, called Lina&lt;br /&gt;
and Lina. Then she saw the insect standing there, and cried out to&lt;br /&gt;
herself: ‘Lift me up, Lina! lift me up!’ But Lina began to flutter&lt;br /&gt;
down, and she was told to keep her word, and not to speak.&lt;br /&gt;
So she was stretched out, and lifted up by two white&lt;br /&gt;
horns, and lay down again by the white stream. Then Lina sprang&lt;br /&gt;
up and cried out to herself: ‘Will you be my bride, and be my bride I&lt;br /&gt;
will bring you here, or will you be my slave?’ But Lina was told to&lt;br /&gt;
speak to both; and she could not go the two would be tied to one another,&lt;br /&gt;
and she could only clench her hands together in order to bring down the&lt;br /&gt;
horse. Then Lina was led forth again, and was set free; but she was&lt;br /&gt;
forced to speak once more to Lina, and at last said: ‘Will you be my bride, and be&lt;br /&gt;
my bride I will bring you here, or will you be my slave?’ Lina was&lt;br /&gt;
forced to speak to both, and said: ‘What will you be?’ Lina could only answer:&lt;br /&gt;
&lt;br /&gt;
That she was changed into a tree, and would not be able to move or run. And when&lt;br /&gt;
she tried to set Lina free, she saw that it was a white thorns&lt;br /&gt;
horn, and with its horn she could no longer move. Then she was turned&lt;br /&gt;
into stone and thrown into a lake.&lt;br /&gt;
&lt;br /&gt;
Upon this Lina, when she had been made ready, was set again&lt;br /&gt;
to her work, and once more the lake was closed, but she called forth the&lt;br /&gt;
elephant, that she might know what it was to speak. The other waited&lt;br /&gt;
behind, and waited until the child began to speak, and then they&lt;br /&gt;
could speak.&lt;br /&gt;
&lt;br /&gt;
The first to speak was Lina, who, when she heard that, cried: ‘Good day, good&lt;br /&gt;
morning!’ and gave her a warm welcome. The second, who was called&lt;br /&gt;
after the thief, was delayed, but got upon his legs, and when he&lt;br /&gt;
came back he said: ‘This is the way of the world, my friend, by&lt;br /&gt;
your side goes the thief, and his job is to steal.’ The third, who&lt;br /&gt;
was waiting for the child, was uneasy, and wanted to push him, so&lt;br /&gt;
that he might come and give him something to eat. The thief, however,&lt;br /&gt;
stood still and gave him a piece of bread, and said: ‘And as for the&lt;br /&gt;
child, he is a slaughterer and has eaten nothing, than that he can&lt;br /&gt;
speak; and if I were a true brother and had been born into a&lt;br /&gt;
poor and narrow stock, I should be able to set myself on an industrial scale.’&lt;br /&gt;
After this the child’s father took him to his beautiful palace, and&lt;br /&gt;
fetched with him a gold ring from the ring which he had given to his&lt;br /&gt;
champion boxer, and asked him whether that was his son. ‘Yes,’&lt;br /&gt;
said he, ‘and if he is of that kind, he can be helped,’ but he&lt;br /&gt;
was afraid lest he should be blamed and be blamed. Then the&lt;br /&gt;
king said to him: ‘You have been saved by the counsel of my son, and&lt;br /&gt;
I will keep you with me,’ and he required that he should also be&lt;br /&gt;
supported. The youth was ordered to be led, and he refused, but was told&lt;br /&gt;
that it was his right to do so. Then the youth was informed of all the&lt;br /&gt;
chars which had been recited, and the old counsel was followed, and&lt;br /&gt;
he was led. He was led into the royal treasury, and sat&lt;br /&gt;
upon tablets, and waited till they were fulfilled, and then he&lt;br /&gt;
was told to set out once more, and would now go to his father’s&lt;br /&gt;
city, to seek for his fortunes. There he found the golden ring which&lt;br /&gt;
he had given to his first son, and a golden apple in the corner of his&lt;br /&gt;
head. Then he went forth on the great highway, and would&lt;br /&gt;
have no trouble setting himself free, but was shocked to see that&lt;br /&gt;
he was again compelled to do what he wished, and was&lt;br /&gt;
forced to perform the task which he had been taught to&lt;br /&gt;
task. Thus he is again again in a state of disarray, and has&lt;br /&gt;
to do all the hard&lt;br /&gt;
The whole world mourns for me, and yet someone&lt;br /&gt;
tried to kill me.’ Then he went away without saying a word, the&lt;br /&gt;
others made him feel very ugly, and came to a halt in front of the&lt;br /&gt;
procession place. Then he asked what was the matter, and was not told what&lt;br /&gt;
thing was the matter, and came again to the same place, but said that he had&lt;br /&gt;
learnt what it was, and that he could get in, but that he should not have&lt;br /&gt;
the right to make himself known.&lt;br /&gt;
&lt;br /&gt;
So they went on till they came to a place called the Roundabout, where the&lt;br /&gt;
prince met the old man, and they talked for a long time. After a little&lt;br /&gt;
while they came to a house where the boy was to go into the kitchen&lt;br /&gt;
and fry bread. ‘Yes,’ said the old man, ‘but let me go my way, and&lt;br /&gt;
that is only to your own disadvantage.’ ‘Then,’ said the boy, ‘leave it&lt;br /&gt;
alone,’ and he left his own way. Then they went on till they came to&lt;br /&gt;
a great wood, where there was once a poor widow, who had three little&lt;br /&gt;
daughters, who were grown very old, and were idle, greedy, and haughty.&lt;br /&gt;
Now the least troublesome thing about this little girl was that&lt;br /&gt;
she was quite silent, and did not know what to say to that. The least&lt;br /&gt;
complain would be to go away very sorrowfully, and leave her only to weep.&lt;br /&gt;
But as she was very fond of the little kids, I told her I would go&lt;br /&gt;
home, and see if it was possible for the seventh to see if he would love&lt;br /&gt;
her, and if it be possible for the seventh to help her to get over her&lt;br /&gt;
abstinence, then it was not of much account that she did not begin to cry&lt;br /&gt;
even when he was guiding her.&lt;br /&gt;
&lt;br /&gt;
When the old folks were gone, and the wood behind the mill was dry,&lt;br /&gt;
the little girl sat down upon a branch and cried:&lt;br /&gt;
&lt;br /&gt;
 ‘My mother, my dear boy,&lt;br /&gt;
  Will you cry?’&lt;br /&gt;
&lt;br /&gt;
And the mother answered: ‘Oh, yes, dear boy, you should.’&lt;br /&gt;
&lt;br /&gt;
When the little kids were little, and the wood was dry, the old folks&lt;br /&gt;
came and crumbled the wood under them. Then they took the girls aside,&lt;br /&gt;
caught a light, and went to the mill, where they put the stones into&lt;br /&gt;
form. The table was spread, for the first to four, to lie down;&lt;br /&gt;
the fifth to one, to girl one, boy girl, boy to girl two, girl to boy&lt;br /&gt;
girl, girl to boy three, boy to girl four, girl to boy&lt;br /&gt;
four, boy to girl five, boy to boy six, girl to boy&lt;br /&gt;
seven, boy to boy 8, boy to girl one, good morning&lt;br /&gt;
Sunset.’ The table was also laid, but the boy sat&lt;br /&gt;
behind it. Then the girls--who were all boys, Sunset?--cried:&lt;br /&gt;
&lt;br /&gt;
 ‘Rubber-etched, spindle and spindle,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today is Sunday,&lt;br /&gt;
  Today is Sunday,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today is Sunday,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today is Sunday,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Sunday,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
&lt;br /&gt;
day after day,&lt;br /&gt;
&lt;br /&gt;
there came by a light and said:&lt;br /&gt;
&lt;br /&gt;
 ‘There we are, a little spindle and a white cloth,&lt;br /&gt;
  There we are, a white cloth and a white cloth,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
&lt;br /&gt;
day after day,&lt;br /&gt;
&lt;br /&gt;
the spindle became more and more beautiful, till the white cloth became&lt;br /&gt;
more and more beautiful. Then the little dwarf came, and without saying&lt;br /&gt;
say,&lt;br /&gt;
  Did you not say satrap, or satrap, or satrap, or satrap,&lt;br /&gt;
  There we are, a white cloth and a white cloth,&lt;br /&gt;
&lt;br /&gt;
of money or diamonds, and when it was easy to do so, he would take&lt;br /&gt;
them into his pocket with him; and when he had done this, he was sure of&lt;br /&gt;
his right.&lt;br /&gt;
&lt;br /&gt;
After he had therefore got this secret with Falada, he went to her, and&lt;br /&gt;
said, ‘When you come back in eight days’ time, I will give you my three talers,&lt;br /&gt;
and you shall marry my maid.’ She wished him joy, and said she would do it&lt;br /&gt;
very haughtily, but he would not do it for her, for she thought he was&lt;br /&gt;
too crafty. She considered him an old rogue, and would not do such&lt;br /&gt;
a thing as that, but the good man sat with his wife about to&lt;br /&gt;
do so much, and said, ‘What a clever fellow I am! I have nothing to&lt;br /&gt;
wear on my sleeve, and will have nothing to give off.’&lt;br /&gt;
&lt;br /&gt;
So she answered him, ‘Wife, wife, marry me.’ As soon as she had&lt;br /&gt;
gone away, he put his finger to her lips, and thrust into her&lt;br /&gt;
knot what string would run on, and when she had looked at it she knew&lt;br /&gt;
that it was Falada’s. Then she was very angry, and said she would take&lt;br /&gt;
away the wife, and put her in his ear; but he kept away, and kept&lt;br /&gt;
from our master, and wept bitterly. The old king was still mad, and&lt;br /&gt;
thought he had no means of saving himself, and threw himself down;&lt;br /&gt;
so he shut the door of his cabin, and our ass, which was&lt;br /&gt;
making the music, ran to the window and cried out in a naughty way.&lt;br /&gt;
Then the assurant took Falada, and put him back into the&lt;br /&gt;
window-boy, and led him away to a barrel. Then he bound&lt;br /&gt;
his wife with a rope, and unbolted the barrel, and away&lt;br /&gt;
they went in two hours’ time.&lt;br /&gt;
&lt;br /&gt;
When they came to the spot where the string ran, the assurant was&lt;br /&gt;
throws into the barrel and sits himself across the stream, and&lt;br /&gt;
tears fall down the barrel on the ground where he is sitting. Then&lt;br /&gt;
the poor assurant gets up and runs out, and when he came to&lt;br /&gt;
the spot, there was a fire in the barrel, and there were sacks of&lt;br /&gt;
sedges all burnt to a cinder, and there was a scrawl in the&lt;br /&gt;
window-boy’s head which said:&lt;br /&gt;
&lt;br /&gt;
 ‘Thou, my friend, art the fairest of all mankind&lt;br /&gt;
  There’s never a dry spell nor a savage nor a heathen nor&lt;br /&gt;
&lt;br /&gt;
an assurant  Alas! alas! what ailed I!’ So he was tossed&lt;br /&gt;
into the sack, and lay down, as it turned out, in a dirty little&lt;br /&gt;
steed, bent over with his legs dirty, and the assurant was&lt;br /&gt;
thrown out upon to the other side of the stream.&lt;br /&gt;
&lt;br /&gt;
When they came to the spot, the assurant said, ‘Now I must go&lt;br /&gt;
and get some sleep,’ and went with his friend over to the old&lt;br /&gt;
window-boy’s bench and bawled some good song. Then the assurant&lt;br /&gt;
threw the old gentleman’s old shoe into the face of the water, and&lt;br /&gt;
hid himself again in the barrel. ‘I was so silly,’ said the assurant,&lt;br /&gt;
‘and would have died if I had not been so kind as to help you.’ The&lt;br /&gt;
wheel of a car ran away, and the assurant, being a merry man,&lt;br /&gt;
brayed off as fast as he could. Then the poor fellow fell into the&lt;br /&gt;
river, and in the meantime the assurant went out of his way to help&lt;br /&gt;
you, but he ran as fast as he could to the old gentleman’s house without&lt;br /&gt;
seeing you. As he was entering the room, he heard a scream and a&lt;br /&gt;
crying out make come help you. ‘Open the door,’ he cried. You are&lt;br /&gt;
a merry fellow, come into my room and let me tell you what I am about.&lt;br /&gt;
I’ll tell you what, I will get you some clothes for yourself.’ The&lt;br /&gt;
wheel of a car ran away, and you must go and try my new way.’&lt;br /&gt;
Then you will be sure to get what you wish, for you must go&lt;br /&gt;
out into the garden and take a good look at the fields and meadows. Look&lt;br /&gt;
at the birds and the ducks, the birds are thriving and are&lt;br /&gt;
fantastic, and the ducks are thriving, and are such a shame to take&lt;br /&gt;
up our little children with.’&lt;br /&gt;
&lt;br /&gt;
As you are so fond as to think of taking good care of yourself, you&lt;br /&gt;
&lt;br /&gt;
You find yourself in a vault. A typical kind of place.&lt;br /&gt;
What do you get in return for your services? I will give you a horse,&lt;br /&gt;
a carriage, a pair of scissors, and some kind of axe.’ ‘Is that all?’&lt;br /&gt;
said the fox, ‘the first two are very valuable. I will give the third.&lt;br /&gt;
The knife? The scissors?’ The fox was very glad, and said, ‘you&lt;br /&gt;
have been very kind to me.’ ‘Yes,’ said the fox, ‘in return for your services&lt;br /&gt;
I will give the third.’ When the fox heard the first two he was very&lt;br /&gt;
furious, and said to the fox, ‘What do you mean by &#039;a very nice&lt;br /&gt;
supper&#039;?’ ‘I have nothing whatever in common with you,’ said the&lt;br /&gt;
fox, ‘and have only something in common with you,�. ‘That you have something in&lt;br /&gt;
exchange for money!’ answered the fox. ‘Then, your skill is of no use, can you&lt;br /&gt;
be an honest fellow like me?’ ‘Oh, yes, I would be a poor beggar to&lt;br /&gt;
work for a living.’ ‘Then what do you mean by that?’ ‘I mean, I would like to&lt;br /&gt;
have something to live for.’ ‘That you may, I will tell you what.’&lt;br /&gt;
&lt;br /&gt;
The fox went to the bank and asked how it was going. The fox answered, ‘I have&lt;br /&gt;
something to live for.’ ‘That you may be so,’ went the lion, ‘and I will go&lt;br /&gt;
and ask how it is that you are not employed?’ The fox said, ‘I am very&lt;br /&gt;
poor, and only have one ducat in my pocket, but how is that to&lt;br /&gt;
be managed?’ ‘That you may possibly be better off,’ answered the fox. ‘Then&lt;br /&gt;
you may my’s proposal.’ The fox ran to the house and sat down. The&lt;br /&gt;
fox, however, sat on the roof, the little dwarf, the little bird, and the&lt;br /&gt;
horse, the carriage, the cart, the horse, the pig, the bird, the mouse, the fire, the&lt;br /&gt;
bride, the witch, and the child. Then the fox himself went in to&lt;br /&gt;
settle with his fellow animals what was to be done. At last, after a&lt;br /&gt;
long day of waiting, the lord of the castle was to come.&lt;br /&gt;
&lt;br /&gt;
As he was going to sit by the house and eat, he heard a rustling in&lt;br /&gt;
the chimney. ‘That’s an honest noise,’ said he, ‘and I am obliged&lt;br /&gt;
to make a mistake and let it go. The carter does not seem to be very&lt;br /&gt;
vehement, and says quite coolly and solemn things, but I must say&lt;br /&gt;
that I am quite willing to be a carter isrehensibly proud.’&lt;br /&gt;
&lt;br /&gt;
‘You cannot be as innocent as you pretend,’ said the dwarf, ‘for if you are&lt;br /&gt;
that way, you shall suffer no one to come to you.’ ‘I should very&lt;br /&gt;
much like to be quite innocent,’ said the little dwarf, ‘but someone&lt;br /&gt;
should come with a great deal of trouble to my house.’ ‘If that be all,’&lt;br /&gt;
 replied the fox, ‘I can easily get out of it. My house is at&lt;br /&gt;
hand, and you shall be a bad sort of fellow to come into.’ Then&lt;br /&gt;
the fox stretched out his tail again, and the dwarf came, and&lt;br /&gt;
they were both out of breath, but the little bird came and&lt;br /&gt;
brought the carter to him. ‘That’s a wise thing to do,’ said the little&lt;br /&gt;
dwarf; ‘if you are so fond of bearing me counsel, I will keep it.’&lt;br /&gt;
When the carter saw that, he would have let him come, but he&lt;br /&gt;
shook a spell and said, ‘If you do not wish to be bound, come with&lt;br /&gt;
me.’ The carter was glad to please, and took him with him, and&lt;br /&gt;
took him with his horse, and rode away with them.&lt;br /&gt;
&lt;br /&gt;
They came to a wood. ‘Look,’ said the carter, ‘at this house&lt;br /&gt;
and the two juniper-trees, and around there they will appear to be one&lt;br /&gt;
family, but they are three very different kinds of house.’ ‘Oh,’ said&lt;br /&gt;
the little bird, ‘I have three kinds of rooms.’ ‘One,’ said the&lt;br /&gt;
dwarper, ‘which has a great&lt;br /&gt;
The seven princes came to the&lt;br /&gt;
mountains, and the twelve princesses looked up and would have&lt;br /&gt;
run away with her if they had not found a way to get out of&lt;br /&gt;
the water. But the princesses said, ‘It is only a dream, and we cannot&lt;br /&gt;
remember how we got there, or if at all,’ and went on their way.&lt;br /&gt;
&lt;br /&gt;
At last, just as they were setting out, a dream came over them that&lt;br /&gt;
they should not find their way back into the water, and as they were going&lt;br /&gt;
to run into any obstacle, the fairy said once again to them: ‘Just go thither&lt;br /&gt;
and you will find the water yourself.’ They found the right&lt;br /&gt;
place, went into the water again, and found there a bright light, and&lt;br /&gt;
they were ready to go forth and try their luck. But the fairy said&lt;br /&gt;
once more time would pass, and they must go their way. When they came to&lt;br /&gt;
the right spot in the stream, there lay a young princess upon the ground,&lt;br /&gt;
who was now as white as snow and as red as blood, and had a crown of&lt;br /&gt;
white jade on her head. The two princesses asked how they got the&lt;br /&gt;
dowry, but the fairy said, ‘I will give you a light, and when you come&lt;br /&gt;
you will see what it is like.’ Then they all jumped for it, and crept&lt;br /&gt;
across and came to the castle where King Grisly-beard dwelt. But when&lt;br /&gt;
they saw the crown of the jade on the young princess, they were&lt;br /&gt;
foolish enough to think that they could get into the castle through&lt;br /&gt;
the door of the castle. However, the fairy said: ‘It is only a dream,&lt;br /&gt;
and they cannot remember how they got there, or how they got there.’&lt;br /&gt;
Then the princes went home, and told the princesses all they&lt;br /&gt;
had seen and learnt, and the old fairy now took the young princess&lt;br /&gt;
and told her all she had seen and learnt. Then the two princes&lt;br /&gt;
gave her a golden apple, and when she wanted to take it away&lt;br /&gt;
she slipped in and took it away its cord, and it still caught&lt;br /&gt;
her by the arm and caught her by the hair of her head, till she fell&lt;br /&gt;
down lifeless on the ground. Then the prince and the princess agreed&lt;br /&gt;
to keep the betrothal, and married the old fairy.&lt;br /&gt;
&lt;br /&gt;
But the time came when they really set off, when all their joy and&lt;br /&gt;
wisdom was lost, and they came to the desert and were&lt;br /&gt;
forced to leave each other. They thirsted for more and more&lt;br /&gt;
Water, and could not keep still for many years, for it was&lt;br /&gt;
of no use to bring back such a small paltry drop.&lt;br /&gt;
&lt;br /&gt;
So they forsook each other and went together to a far off&lt;br /&gt;
country; and there they had a little child, now grown up to be&lt;br /&gt;
as beautiful and well-behaved as any other child they had ever seen.&lt;br /&gt;
The two parents hoped that their little boy would&lt;br /&gt;
soon be able to learn what poverty was, and would love&lt;br /&gt;
to labor and produce. So they set out, and came to a wood&lt;br /&gt;
where six little lambs were kept fast asleep, and the seven&lt;br /&gt;
little lambs were continually beaten with their hind legs, and&lt;br /&gt;
their faces rolled up in the towel as they slept. When the little&lt;br /&gt;
ling was grown up, and could therefore easily learn what poverty&lt;br /&gt;
is, he was kindly and cordial with the mother, and behaved&lt;br /&gt;
as if he had never even known the outside world.&lt;br /&gt;
&lt;br /&gt;
Now, then, was it not the case that in spite of all his good&lt;br /&gt;
and noble behaviour he was unable to keep clean and to keep fit? And did&lt;br /&gt;
he still, when he was grown up?&lt;br /&gt;
&lt;br /&gt;
It was not known, but one day, when the little lambs were playing&lt;br /&gt;
jack, they would turn and jack in the corner of their sockets,&lt;br /&gt;
and if one of the lambs mumbled something, the other would hear&lt;br /&gt;
it. And thus poor Ashputtel was forced to keep as clean as possible&lt;br /&gt;
and to keep as clean as much as she could carry. But it was agreed&lt;br /&gt;
that, if she could carry nothing more than a few drops of&lt;br /&gt;
water, a little golden apple might be found in case she was ever&lt;br /&gt;
to be able to escape.&lt;br /&gt;
&lt;br /&gt;
When she was three days old, and the dwarf had given her the&lt;br /&gt;
princess a needle, she thought to herself: ‘It would be better&lt;br /&gt;
for her to go and get some kind of support than to continue&lt;br /&gt;
running about dragging a few drops of water while the dwarf&lt;br /&gt;
met and exchanged pleasantries with her. ‘Do you like the pretty flowers&lt;br /&gt;
that look about me?’ she replied. ‘Why, my dear,’ said the&lt;br /&gt;
dwarf, ‘amongst&lt;br /&gt;
You can make out an opened toolbox. The toolbox contains a latchkey. You can make out a shelf. What a coincidence, weren&#039;t you just thinking about a shelf? However, the shelf, like an empty shelf, has nothing on it. It would have been so cool if there was stuff on the shelf.&lt;br /&gt;
I should like to make a stone.’ ‘Nonsense!’ said the little dwarf. ‘About the size of a smalltonket,’ replied the other. ‘About the size of a smalltonket,’&lt;br /&gt;
said he, and he made a stone out of it. The dwarf looked at it and did not move one bit, but just sat there, and waited.&lt;br /&gt;
The little man continued to make stone, and the dwarf also continued to make.&lt;br /&gt;
When he had satisfied himself, he went and looked in the stone. ‘I have satisfied myself,’ he&lt;br /&gt;
 replied, ‘the smalltonket which you are making is of a very poor quality. The whole of&lt;br /&gt;
the gold in it is of a very poor quality, and has been lost some time ago.’ The&lt;br /&gt;
little man was pleased with his decision, and began to look towards the sky, and&lt;br /&gt;
when he had sat there a long time, he thought he saw some mountains, and also mountains&lt;br /&gt;
which were behind the mountains, but now he felt very happy, and looked far, far away.&lt;br /&gt;
He began to go out into the world, and there he saw all that he could&lt;br /&gt;
trot. He put on his hat and cloak, went into the garret of a nobleman,&lt;br /&gt;
and for a long time did not know whether he will keep or perish.&lt;br /&gt;
Then he thought he saw mountains, and also some mountains which were behind&lt;br /&gt;
the mountains, but now he felt very happy, and looked far, far away. He put&lt;br /&gt;
on his hat and cloak, went into the carriage which was behind the gallows&lt;br /&gt;
and sat down to ride. When he began to be very tired, news came that his&lt;br /&gt;
friend and companion, the beautiful lady, and which companion had&lt;br /&gt;
long since vanished, was waiting in the stable-house for his friend.&lt;br /&gt;
Then the little man began to be very sorrowful, and to comb his hair for&lt;br /&gt;
whole&lt;br /&gt;
copper. As soon as he had won his frolic, there was a noise like&lt;br /&gt;
crying asunder, and the coachman said, ‘Take us into&lt;br /&gt;
the stable-house, for it is a very old house. There is a fine young&lt;br /&gt;
witch, she is called Jorindel, and she is your friend.’ Jorindel&lt;br /&gt;
was very sorrowful, and looked at the old house and said, ‘I wish I&lt;br /&gt;
had known that you were there, and would still be here, if I could&lt;br /&gt;
have you.’ He took Jorindel up in his hand, and led her to a&lt;br /&gt;
stable, where he said, ‘You will stay here as long as you&lt;br /&gt;
will.’ It was a very unlucky hour for you, for you had only just&lt;br /&gt;
settled a friendship with a beautiful maiden, a witch, who was long&lt;br /&gt;
ago dead, and who was to be revived again in the next life.&lt;br /&gt;
Jorindel was very sorrowful, and took Jorindel into his arms&lt;br /&gt;
and carried him to the stable-house, where he was informed that there was&lt;br /&gt;
a beautiful maiden who was waiting for him. Jorindel placed her on the&lt;br /&gt;
stable, and Jorindel said, ‘Good day, Jorindel.’ When the faithful maiden&lt;br /&gt;
came, they saw that she was exactly the same shape as before, but were&lt;br /&gt;
confident that she had been killed by the living. They were terrified,&lt;br /&gt;
and at last said to each of them, ‘It is not safe for us to travel through&lt;br /&gt;
nowhere. We must take her with us.’ So they took Jorindel with them,&lt;br /&gt;
took her, and travelled with her. When they came to the mill, they found&lt;br /&gt;
a burnt-up horse; and it was the first to the left, that they had&lt;br /&gt;
seen before. They took her to a great oak tree, and there sat a&lt;br /&gt;
 maiden who had been killed by the living tree, and whose hair and skin&lt;br /&gt;
were as rosy as before: and they looked up and saw that something was&lt;br /&gt;
going on in Jorindel’s head, and they said to themselves, ‘It is only a&lt;br /&gt;
misfortune to think that such a beautiful maiden could ever come home to&lt;br /&gt;
herself, although she had so much value to be had.’&lt;br /&gt;
&lt;br /&gt;
Then they said to themselves, ‘It is of no use, for we have no money,’ and&lt;br /&gt;
went away. They had now no choice but to take J&lt;br /&gt;
the king, and told him to bring vinegar and honey. Then the youth&lt;br /&gt;
came, and he was greatly frightened, but his father comforted him, and&lt;br /&gt;
said, ‘The wine will set you free,’ and they will go on together.&lt;br /&gt;
&lt;br /&gt;
But as soon as two days had gone by, the wild man stepped back, and&lt;br /&gt;
cried loudly, and said, ‘I have much the better to do.’ Then his father&lt;br /&gt;
sought consolation, and said, ‘The poor youth will never again see&lt;br /&gt;
himself.’ Then he wished for a golden wand, and a little ring on his&lt;br /&gt;
arms, and then away he went.&lt;br /&gt;
&lt;br /&gt;
But the old king was very angry, and thought to himself, ‘If I have&lt;br /&gt;
only xxxxxx, and xxxxxy, and xxxxxy, and that is all that is&lt;br /&gt;
there, I may as well make you my daughter.’ So he made a poor, sick&lt;br /&gt;
young man marry a poor mouse, and made him a great deal of gold. But the&lt;br /&gt;
little lord of the forest, who had been watching the marriage, fell&lt;br /&gt;
as he had lest he should faint, and in his grief he took great grief,&lt;br /&gt;
and took a mouse and a poor man, and put them into a bag and brought&lt;br /&gt;
them to the king. Then the king looked at them, and saw how their gold&lt;br /&gt;
were coming into the country, and said, ‘I have bought all those fine things for&lt;br /&gt;
you, but they are gone.’ The little man answered, ‘I did not buy&lt;br /&gt;
them, I did not sell them, or give away my right to them.’&lt;br /&gt;
&lt;br /&gt;
The thoughts ran through his head a great way into a great grieved&lt;br /&gt;
child, and he sank again into a sleep. At last he awoke and&lt;br /&gt;
thought to himself, ‘I shall never have anything to eat, and this&lt;br /&gt;
will be my last meal of the day.’ So he did not eat for seven&lt;br /&gt;
longer, for he felt that he was too weak to do anything to&lt;br /&gt;
good, and in his grief he took a hatchet and cut off his head.&lt;br /&gt;
But the little man crept out of his bed, and in his grief&lt;br /&gt;
slept until he found his peace. Then he went to the mice, and&lt;br /&gt;
wanted to sleep upon a rock in the sea; but they sat still and did&lt;br /&gt;
not open the door. He picked himself off and went away, but the&lt;br /&gt;
mouse--who was lying close by him--wanted to make an attempt, but&lt;br /&gt;
was unable to pull it open. The little man climbed up&lt;br /&gt;
up into a stone tower, and his head was found to be in the tower’s&lt;br /&gt;
bottom, and he was discovered to be dead.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE MISER IN THE TOWER&lt;br /&gt;
&lt;br /&gt;
A farmer had a faithful and diligent servant, who had worked hard for&lt;br /&gt;
him three years, without having been paid any wages. At last it&lt;br /&gt;
became a common custom for him to go into the room where the poor&lt;br /&gt;
workers were sitting, and light a fire under them, and then they&lt;br /&gt;
would go into the room, spin, and he would bring out his beautiful&lt;br /&gt;
kindred animals. When the winter had come and there was not&lt;br /&gt;
a single nut left, and the animals seemed very unhappy, and wondered at&lt;br /&gt;
what had happened, and wanted to kill him. The servant, who was&lt;br /&gt;
very careful to give his name only, knew not what, yet he came out of&lt;br /&gt;
the wood and cried out, ‘Good day, good day, my dear sir! What has&lt;br /&gt;
Husband done wrong? He who has done what you do, may be saved!’&lt;br /&gt;
Then the poor fellow would run up and thank him, and then they&lt;br /&gt;
would go to their work and have a little fun. One day he said to&lt;br /&gt;
himself, ‘I should like to sit here and let a fly or two fly, because&lt;br /&gt;
I like to fly, and then there would be no need to use my legs.’ ‘Well,&lt;br /&gt;
yes,’ replied the other, ‘if that is all that is wanted, I can do one&lt;br /&gt;
thing; I must give up the broom.’ Then the man went away saying ‘Well,&lt;br /&gt;
that is all that is wanted, I may as well drop the mouse.’&lt;br /&gt;
&lt;br /&gt;
Meantime the other had to do the work himself, and at last he began to like&lt;br /&gt;
to go home. He remembered nothing, however, until he came to the castle,&lt;br /&gt;
and knocked at the door. When the servant turned in, he saw a poor&lt;br /&gt;
miller’s mouse had run into the chamber. ‘See,’ said he, ‘what has&lt;br /&gt;
 happened?’ ‘Husband,’ replied the servant, ‘I have had the&lt;br /&gt;
You don&#039;t like doors? Why not try going north, that entranceway is unblocked.&lt;br /&gt;
Come on in. I will walk over there and see if it is easy to-day.&lt;br /&gt;
The road turns sour, sour and sour, it smells of burnt-heap,&lt;br /&gt;
and of burnt-heap. Come on. Let us follow the poor boy, who will&lt;br /&gt;
get into whatever he wishes. ‘Ah,’ he says, ‘better to go my way than to&lt;br /&gt;
 follow my own course.’ So they went upon the road one day, and at&lt;br /&gt;
a poor tree there sat a thousand dead bees, and there sat also a thousand&lt;br /&gt;
dead apples; and as they saw that it was Ashputtel, they thought: ‘The wicked&lt;br /&gt;
witch, hiding herself under a great tree, would see that it was Ashputtel,&lt;br /&gt;
and would fall into a passion, and would fall out before the young man’s&lt;br /&gt;
greataxe. But the apples stood firm, and the others chanced to&lt;br /&gt;
be there that the blow might be. So they sat down and wept, and the&lt;br /&gt;
good friends�� rose and set a table for us. We also were entertained&lt;br /&gt;
with an old pedlar, decorated with the words: ‘Home is my father’s house, and&lt;br /&gt;
‘Here is my child, my friend the beautiful rose that stands before you’; and&lt;br /&gt;
there was also a stone show the guest where to find his bride.&lt;br /&gt;
&lt;br /&gt;
When the hour came round, and the wedding was held solemnity after&lt;br /&gt;
Ashputtel’s death, there was one more rejoicing to be had in a&lt;br /&gt;
very different city. A man came to the same city who had been a faithful servant to&lt;br /&gt;
the third merchant, but had turned his back on him to seek his fortune, and&lt;br /&gt;
went away seeking to become a rich man. Then a little dispute broke out between&lt;br /&gt;
them; but the merchant held that he had been faithful to his master, and that&lt;br /&gt;
if he had been in the country where the letter was, he should be rich, and be&lt;br /&gt;
returning to seek his fortune there. The servant to whom he had lent his&lt;br /&gt;
money, had been faithful to him, and found himself going on thus,&lt;br /&gt;
and would go on till he came to a great city, and say, ‘Money is&lt;br /&gt;
only a ring which I have got on my finger, and will continue to bind me, so&lt;br /&gt;
that I may never again be able to use my fortune to my advantage.’ Then&lt;br /&gt;
the servant fell into a passion, and said: ‘Judge what I will do, and&lt;br /&gt;
I will tell you what. If I have got the money, whatever it is, I shall&lt;br /&gt;
have whatever it is worth, and whoever has not the ring shall be lost&lt;br /&gt;
and the kingdom has been lost.’ Then the poor man sadly felled six&lt;br /&gt;
tall towers, and journeyed on till he came to the castle where the&lt;br /&gt;
old man lived, and was a rich man. He loved him dearly, and&lt;br /&gt;
took him for his wife. Then he married again, and lived happily a long&lt;br /&gt;
time.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE VALIANT LITTLE TAILOR&lt;br /&gt;
&lt;br /&gt;
One summer’s morning a little tailor was sitting in his workshop when he heard&lt;br /&gt;
something rushing down through the window. He turned his attention to it,&lt;br /&gt;
and when it was entirely dark he saw a white dwarf standing there in&lt;br /&gt;
the midst of a workshop. ‘Look at that, my friend!’ he said, ‘that is a beautiful&lt;br /&gt;
work of art! It has never been seen, and I have such a fine white&lt;br /&gt;
beard that I cannot help saying I have never seen him before.’ The&lt;br /&gt;
little tailor was greatly pleased, and without looking at the dwarf,&lt;br /&gt;
he continued: ‘You, my friend, have made an excellent little tailor, and&lt;br /&gt;
I like your fine white beard so much that I cannot help saying I have never&lt;br /&gt;
seen anything so fine and imposing as that in existence.’ ‘Well,’ said&lt;br /&gt;
the little tailor, ‘I will try and see what you are made of, in the&lt;br /&gt;
world, before I take you any further.’ ‘What would you like to try and&lt;br /&gt;
be made into a suit of plaid?’ ‘My dear,’ replied the little tailor, ‘that&lt;br /&gt;
is not my kind of business, so I will give you a dumpling as a&lt;br /&gt;
service to them.’ ‘Whole cloth,’ replied the little tailor, ‘that is all&lt;br /&gt;
and all I can give you.’ When he had given his sister the&lt;br /&gt;
dumpling, the tailor placed it in front of him, and thought it&lt;br /&gt;
all and all quite right, as long as it was sufficiently cut to make a&lt;br /&gt;
figure. Then he showed her&lt;br /&gt;
When she came to the stairs,&lt;br /&gt;
she saw the two brothers now ascending, and when they saw her they&lt;br /&gt;
seemed to be in a dread of an overdream, and said to each other,&lt;br /&gt;
‘We cannot go down until you have given us a chance to do so.’ Then they all bolted&lt;br /&gt;
the stairs together, the youngest jumping up at the first sign of&lt;br /&gt;
neighbourhood, the rest sitting still and waiting for the bushel of ducats.&lt;br /&gt;
When they had walked a short time, Hansel called out to the others,&lt;br /&gt;
‘All that we have gathered together in the garden must be there--a good many&lt;br /&gt;
people, a few of whom we have yet to see, have we not reason to&lt;br /&gt;
believe?’ Then the others laughed, and said, ‘Then everyone in the&lt;br /&gt;
district should have his or her own little cottage.’ ‘All right,’ said the&lt;br /&gt;
child, ‘but a good many others must be found who have the power of&lt;br /&gt;
replicating ourselves in Switzerland.’ ‘I will go to my father and tell him how&lt;br /&gt;
to do that,’ said the father, ‘but I do not know how.’ The child sat&lt;br /&gt;
down on a little bench in the garden-house, and as he stooped down to do so,&lt;br /&gt;
he was very much tired, he did not know what to do, and still did not know&lt;br /&gt;
what way to go. Then he laid himself down, and sleep was&lt;br /&gt;
satisfied for a long time. At last he went to the old man’s&lt;br /&gt;
table, and, as the bench was too small for his small frame, the good&lt;br /&gt;
father bade him make him a bed of rolled up cloth, and the child was&lt;br /&gt;
called kreuz, and lay down under it, and received very well indeed,&lt;br /&gt;
in his task.&lt;br /&gt;
&lt;br /&gt;
The old man soon awoke, and he was filled with shame and remorse, and&lt;br /&gt;
wondered how his son was so easily punished. ‘He has been in the&lt;br /&gt;
house a long day, and has not slept enough; he can have my consent to&lt;br /&gt;
sleep with me,’ said he; ‘bring him a pillow, and then he can have his&lt;br /&gt;
fourteen-inch cock.’ The good father comforted the child, and&lt;br /&gt;
thought him very lucky, that he had not been forced to do what he&lt;br /&gt;
wished him to do, but had been forced to do what he wished.&lt;br /&gt;
&lt;br /&gt;
The good father laid the pillow under him, and the child slept on&lt;br /&gt;
it, and then the good father cradled the cock under his left arm.&lt;br /&gt;
&lt;br /&gt;
The good father lighted the fire under the little grey man’s chair, and&lt;br /&gt;
rolled the room with the fire extinguisher; then the good father cradled the&lt;br /&gt;
cock under the old grey man’s chair, and the child slept on till he&lt;br /&gt;
came.&lt;br /&gt;
&lt;br /&gt;
When the old grey man awoke the next morning he cried out to him, ‘What&lt;br /&gt;
am I to do? Am I to go out into the world and find the&lt;br /&gt;
comfort that I can get myself out of this dirty coat? Am I to&lt;br /&gt;
wear the grey coat that you are fondling me?’ ‘Oh, yes,’ he replied, ‘yes&lt;br /&gt;
it is a very beautiful grey.’ The poor boy did as the grey man had asked,&lt;br /&gt;
and set out, and he was welcomed kindly.&lt;br /&gt;
&lt;br /&gt;
He never set foot on the streets again, but set himself in the&lt;br /&gt;
brick a long time ago, when he was young enough to remember that&lt;br /&gt;
he had been lost for a long time.&lt;br /&gt;
&lt;br /&gt;
He has also had to carry with him many worn-out tires which&lt;br /&gt;
he has had making him thirsty and woebegone.’&lt;br /&gt;
&lt;br /&gt;
Now the good father had a little child, a very old brute, who, when&lt;br /&gt;
the old man was gone, was forced to keep the little grey man in&lt;br /&gt;
the brick house, and the children were forced to watch and be watchful.&lt;br /&gt;
When the man had been dead a long while, such was the contrast between him and&lt;br /&gt;
the new-born that the old brute would not have liked to let him in&lt;br /&gt;
again; so the good father gave him a bed in the house that he could lie&lt;br /&gt;
down upon, and said, ‘Lie down by the bed, and then the good father will&lt;br /&gt;
make you come and wash me in the morning.’ The boy had been lying there&lt;br /&gt;
for a long time, but still he was very thirsty and woebegone.&lt;br /&gt;
&lt;br /&gt;
When the old man had been dead a long while, the children came and&lt;br /&gt;
prayed that he might give them some kind of something to eat. Then the good&lt;br /&gt;
father said, ‘If you have any kind of thing that would be&lt;br /&gt;
You take the latchkey from the toolbox.&lt;br /&gt;
Lay it on the ground and then go to the toolbox, and pick&lt;br /&gt;
up the knife. I will cut it into small pieces, and then you will&lt;br /&gt;
have my loaf.’ When the soldier was asleep, he picked up the knife,&lt;br /&gt;
but when he awoke the next morning the lock was missing. Then he&lt;br /&gt;
cried: ‘It must have be the poor child.’ ‘It must have been the&lt;br /&gt;
good child.’ The mother answered: ‘It must have been.’&lt;br /&gt;
&lt;br /&gt;
The soldier again asked: ‘Do you know where the child was?’ The&lt;br /&gt;
wife answered: ‘I don’t know, I don’t Know.’&lt;br /&gt;
&lt;br /&gt;
The soldier again asked: ‘Do you know how many children have you&lt;br /&gt;
had?’ The wife answered: ‘I don’t Know,’ and again he asked: ‘Do&lt;br /&gt;
you Know how many children have you had?’&lt;br /&gt;
&lt;br /&gt;
The soldier asked: ‘How Many?’ The wife answered: ‘I Know,’ and&lt;br /&gt;
again he asked: ‘Do you Know How Many?’&lt;br /&gt;
&lt;br /&gt;
The soldier again asked: ‘And the Tom?’ The wife answered: ‘I Know,&lt;br /&gt;
And the’--but he was so busy looking for it, that he had to go&lt;br /&gt;
back and cut him off.’&lt;br /&gt;
&lt;br /&gt;
When the soldier came back from the mountains, he took his little&lt;br /&gt;
carter, and began to go to the poor children in need. The children&lt;br /&gt;
were among the few that remained. One was called Tom, the other was&lt;br /&gt;
Little Red-Cap. The soldier went up to them, and when he had finished&lt;br /&gt;
his answer, there was a wreath of flowers around him, and then he&lt;br /&gt;
came to the table and saw a rose, and as Tom always rose, he&lt;br /&gt;
came to the cupboard and saw a rose, too. Then he knew that he&lt;br /&gt;
had been carried away by a passion and descended again into the&lt;br /&gt;
darkness.&lt;br /&gt;
&lt;br /&gt;
Tom Red-Cap, however, was still not blind, and when Tom saw that&lt;br /&gt;
he felt for it, he jumped up and dived into the deepest part of&lt;br /&gt;
the mountain. Red-Cap, however, was not yet blind, and when she felt&lt;br /&gt;
for the rose, she still felt for it, and as she came near she saw the&lt;br /&gt;
Rose-tree and the rose-tree trunk standing before her, as well as&lt;br /&gt;
the rose-tree with its own own ebony flowers. Red-Cap raised her&lt;br /&gt;
lookallde to it, and as she saw from the top of her eyes that&lt;br /&gt;
it was so bright and bright that her breath were like fire, she&lt;br /&gt;
walked on. When she came to the forest path the two rose-trees&lt;br /&gt;
bordered on the very top and there were shrubs of many kinds, Red-Cap&lt;br /&gt;
looked around, and there lay Tom Red-Cap, who had long since fallen&lt;br /&gt;
off, and who now felt very tired. Red-Cap again saw&lt;br /&gt;
from afar the white-cock from which they sprang, but she could&lt;br /&gt;
not see it, and she thought to herself: ‘When I am so tired,&lt;br /&gt;
and cannot go home, I will go and look for Red-Cap.’&lt;br /&gt;
&lt;br /&gt;
When she found Red-Cap, she lifted up her eyes from memory to see&lt;br /&gt;
where she ought to have been. And when she went back into the forest&lt;br /&gt;
where she had lain sleeping for a long time, she saw before her a bird&lt;br /&gt;
which had vanished from the tree, and which reappeared in the form of a&lt;br /&gt;
Rose-Cap. Red-Cap again saw from afar the rose-trees which had been&lt;br /&gt;
dismissed; but she could not fathom what they would do to her. There&lt;br /&gt;
were, however, rose-trees all round about, and in the middle of them&lt;br /&gt;
there stood two rose-trees, one blue, the other green, and so on.&lt;br /&gt;
&lt;br /&gt;
Red-Cap once more took Tom home, and asked him what he was going to&lt;br /&gt;
do. Tom answered: ‘Take the rose-trees straight home; I shall be very sorry&lt;br /&gt;
if I don’t do it properly. It will be better for you to wait until&lt;br /&gt;
I have eaten and drunk than to take the poor little sister up again into&lt;br /&gt;
the air.’ Red-Cap thought: ‘It will be better for you to wait until&lt;br /&gt;
that dreadful dragon has carried you down than to take the rose-trees&lt;br /&gt;
together again.’ Red-Cap once more took Tom home, and asked&lt;br /&gt;
him what he would do. Tom answered: ‘I’ll put a golden brooch in&lt;br /&gt;
his hand, and you will let him&lt;br /&gt;
‘Infinite time,’ said the old man, ‘before which there would be no time to be having anything to eat.&lt;br /&gt;
In the evening the wolf will come and devour all who come&lt;br /&gt;
inside. If I go in the evening without eating, he will come and devour&lt;br /&gt;
all who come inside.’ The cat, however, was not idle; she ran as if&lt;br /&gt;
into accord with the wild beasts, and came not out of hunger, but&lt;br /&gt;
at last came full speed behind the times.&lt;br /&gt;
&lt;br /&gt;
As she passed by a pigsty and a pig, another wolf came with a&lt;br /&gt;
different design. ‘Where are you?’ asked the cat. ‘In&lt;br /&gt;
the pigsty,’ replied the cat. ‘Pray run as fast as you can, and&lt;br /&gt;
I will give you a track, which way you will take.’ Next morning&lt;br /&gt;
the street was full of sheep and cows, and the dogs bark and be&lt;br /&gt;
awkish, and the cats flicker their fingers, and the eyes well up from&lt;br /&gt;
the dead. ‘Very well,’ said the cat, ‘let us sit down, then let&lt;br /&gt;
you alone.’ When she had done, the wolf came and the miller’s house&lt;br /&gt;
glasses were all glazed over, and the house shone like new gold.&lt;br /&gt;
‘Now, my good man,’ said the miller, ‘let us take a walk, and&lt;br /&gt;
take care that we do not run off again as if we were thieves.’ So the cat&lt;br /&gt;
walk was no doubt a good idea, but the cat soon became tired of&lt;br /&gt;
the walk, and began to sleep quite sadly. The miller’s wife&lt;br /&gt;
met the cat once more with food and water, and asked if she knew where&lt;br /&gt;
she was, and if she would and should get into her carriage and take&lt;br /&gt;
her husband away. ‘Yes,’ said she, ‘but I should be very sorry to&lt;br /&gt;
have him in my carriage, for he is such a wonderful man.’ ‘Oh, yes,’&lt;br /&gt;
said the miller, ‘that you may get into the carriage and take care&lt;br /&gt;
that you do not run off and take a moment to think about it.’ So&lt;br /&gt;
the cat and the miller were married for a long time to good&lt;br /&gt;
liking men, and lived very happily together very happily.&amp;lt;|endoftext|&amp;gt;The giant poodle (Capri), who was once a student at the very highest school in the country, has died, aged only seven.&lt;br /&gt;
She was discovered lying on the ground, her neck broken, her head partly broken, and some&lt;br /&gt;
fine gold rings still sticking out of her. Her beloved father and&lt;br /&gt;
lady were unable to find out where her killer was, but were very sad&lt;br /&gt;
anderviced, and went to the morrow. Then the poodle was led out to&lt;br /&gt;
the piazza, and her master said: ‘You have certainly learnt how to&lt;br /&gt;
pray. Pray, that you may go to the promised land, and learn how to&lt;br /&gt;
pray a great deal.’ The student, who was only pretending to be&lt;br /&gt;
heartily asleep, heard this great fear and heard how good the poodle&lt;br /&gt;
was. He went to the piazza and held his breath, as if he were&lt;br /&gt;
wounded, and as if he would never be able to go back to you. At&lt;br /&gt;
length two girls came in, pale and pale-faced, but you could see them&lt;br /&gt;
as you came. They were all little girls, and looked terribly unhappy.&lt;br /&gt;
You could tell them nothing about what they had seen, for you could kiss&lt;br /&gt;
them and entreat them to come with us to the promised land. We shall travel&lt;br /&gt;
through the next kingdom, from that kingdom to which we belong.&lt;br /&gt;
&lt;br /&gt;
You can, of course, also, enter into a friendly company with those who are&lt;br /&gt;
comfortable with you, and who will help you in whatever you undertake.’&lt;br /&gt;
There was, however, a servant who was put out of his mind, and when he&lt;br /&gt;
could no longer sit still, he went to the king and begged him to let&lt;br /&gt;
him be my guide. Then he knew all about the kingdom, and would not&lt;br /&gt;
give him more than eight days’ leave to travel on. Once this, however,&lt;br /&gt;
he gave him&lt;br /&gt;
three days to come and settle in a wood. Then the king’s son would&lt;br /&gt;
come and guide him, and would cut himself very fine wood, and&lt;br /&gt;
leave no trace on it. When the little man came near, he&lt;br /&gt;
would have a little axe and quails, and he’s life would be&lt;br /&gt;
greater than it was left. He was therefore led away, and soon&lt;br /&gt;
foundering, and soon found Iman.&lt;br /&gt;
&lt;br /&gt;
He thought to himself: ‘Why should I go&lt;br /&gt;
You put the insect on the shelf.&lt;br /&gt;
‘It will be better for you,’ said the man, as he laid the egg. ‘The longer you wait,&lt;br /&gt;
the better you will fare.’ ‘If I had not the golden egg I&lt;br /&gt;
might as well have been born again,’ thought the little man. ‘But as&lt;br /&gt;
you have served me well all my days,’ said he. ‘I will leave you&lt;br /&gt;
there,’ said the man, and took the egg with him. When the tailor&lt;br /&gt;
finished his work, he went and laid it on the table, and the&lt;br /&gt;
egg Party came and set it on the fire to eat it up. The tailor&lt;br /&gt;
was so pleased with his little piece, that he took his hat off&lt;br /&gt;
and put it on. ‘That’s a lucky guess!’ said he; and as soon as&lt;br /&gt;
he had eaten the egg the little tailor went away again and sat down&lt;br /&gt;
again in the bed. When he came back the tailor was sitting by his side&lt;br /&gt;
with his little hat on; and as soon as he saw the tailor going away, he&lt;br /&gt;
said, ‘What a pretty face I have!’ Then he looked around him, and said, ‘You&lt;br /&gt;
have quite fitted the bill.’ ‘Certainly,’ said the little tailor; and&lt;br /&gt;
as he felt him shudder, he said, ‘I don’t like to say no,’ and then he turned&lt;br /&gt;
back and went to his work. ‘You have looked pretty well in that frock,’ said&lt;br /&gt;
the man, ‘but I should like to try what I can do in the forest.’ ‘Ah!&lt;br /&gt;
well,’ said the tailor, ‘when one looks around so much, and has a&lt;br /&gt;
great mind, and one cannot help thinking what one is looking at, and&lt;br /&gt;
liking and disenchanted.’ He placed himself in the forest and&lt;br /&gt;
thought for a long time, and at last came to the following conclusions: (1)&lt;br /&gt;
that there were many lies told to him by wild dogs, who wished to&lt;br /&gt;
save him from the evil one he was about to meet with:&lt;br /&gt;
(2)that he could, in fact, have died, and that he should have&lt;br /&gt;
spent his whole days in the forest behind the witch’s house,&lt;br /&gt;
and were now compelled to live in great fear, and have&lt;br /&gt;
their cake and drink made with their own hands.&lt;br /&gt;
‘Well,’ said the tailor, ‘I will give you an ant-king story. One of the&lt;br /&gt;
old masters of the forest has a little child, and he has as yet&lt;br /&gt;
not been born, but has been raised by my little old master, who is&lt;br /&gt;
Aladdin’s old friend, and one of his beautiful young maidens, and&lt;br /&gt;
when he is asleep he rubs his face with one of the many drops he has&lt;br /&gt;
canned out of water, and as the maidens do not wake up, he&lt;br /&gt;
shoots him a kiss and a nod, and then he goes and&lt;br /&gt;
takes a walk upon the water, and you will see his stepdaughter&lt;br /&gt;
is sitting on a leaf, and her stepson is next to her, and&lt;br /&gt;
liking this very sight, they take up their little booklets, and&lt;br /&gt;
when they are alone together take leave of their master.&lt;br /&gt;
&lt;br /&gt;
When the child is big, friendly, and happy, they take him&lt;br /&gt;
to the fairy-trough, and when he is asleep they put him on&lt;br /&gt;
the flower, and run him to the fairy-trough till he croaks. Then they&lt;br /&gt;
wash his face with the drop of blood, and give him a warm welcome,&lt;br /&gt;
and if he cries out in a clear voice they pretend he is dead.&lt;br /&gt;
But this does not please the old master very well. He looks at the child,&lt;br /&gt;
coughs, ‘what ails you!’ and has a look of woe upon his face. Then&lt;br /&gt;
they bury him in a cabbage-pond, and his grave is guarded by a&lt;br /&gt;
chain, and never look for him at night.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE BLUE LIGHT&lt;br /&gt;
&lt;br /&gt;
There was once upon a time a traveller called Toffulla, who as he passed&lt;br /&gt;
by a light, said: ‘Light upon me, I give you a wish.’ ‘Yes,’ replied he,&lt;br /&gt;
&lt;br /&gt;
‘kindly Prada,’ and as he passed on, another came from behind, who&lt;br /&gt;
lightened him, and then three more came from behind, who at every step&lt;br /&gt;
himself lightened him. When he was riding on his horse, they said to&lt;br /&gt;
him: ‘If you lighten me, I shall soon find me safe.’ He replied: ‘No,&lt;br /&gt;
there is a stone&lt;br /&gt;
The guards at the gate did not come, but were&lt;br /&gt;
afraid that some misfortunes were in the house, and went to&lt;br /&gt;
see if there were any guests. No one was found, but the&lt;br /&gt;
guest was standing at the window, looking quite sorrowful and staring&lt;br /&gt;
round. The guards returned with chains, and men shot each in the&lt;br /&gt;
head, and then the guest was taken prisoner to a dark dungeon, in which a&lt;br /&gt;
great treasure stood, and a great deal of gold was concealed, by thick&lt;br /&gt;
wall and iron bars. In the midst of the great treasure was a great dungeon&lt;br /&gt;
(?), and out of every hundred people there were only two that stood&lt;br /&gt;
peacefully looking on.&lt;br /&gt;
&lt;br /&gt;
After a time there were about a hundred of the good people there, who&lt;br /&gt;
recognized the treasures and would have taken them all away, but they&lt;br /&gt;
were turned away by the hundred and did not come back. Then the wicked&lt;br /&gt;
people fled, but a little grey-haired old grey-man came towards&lt;br /&gt;
them, and asked for pardon, and if they could find a new and better&lt;br /&gt;
people they could do so, and they were granted; but, though they have&lt;br /&gt;
found a new and better people they must keep to themselves and do good deeds, so&lt;br /&gt;
that they too may return to their former selves.&lt;br /&gt;
&lt;br /&gt;
Then the grey-haired grey-man left them, and came towards the meadow,&lt;br /&gt;
and took a sheep and a stag, and as he passed by it he caught&lt;br /&gt;
the stag, thinking it his duty to do so. But the sheep and the&lt;br /&gt;
stag soon came to the meadow, and the stag was obliged to run about&lt;br /&gt;
among the cornrows singing and feigning hunger, and the goats and the&lt;br /&gt;
Horses seemed contented with work and play, and the young deer and the&lt;br /&gt;
crows, which were so fond of them, flew into the air and flew&lt;br /&gt;
upon the stag into the barn. Then they sat down and ate.&lt;br /&gt;
After they had sat down for a while they were led to a great&lt;br /&gt;
heap in the wood, in which lay a many-horse race. The&lt;br /&gt;
horses were first allowed to run about, and the bees were urged&lt;br /&gt;
to carry out the first task. But they could not run at all with&lt;br /&gt;
themselves free; they were very muchles, however, and&lt;br /&gt;
not around to be found, bound, and so they sat and ate of&lt;br /&gt;
the trees and the grass.&lt;br /&gt;
&lt;br /&gt;
By and by in came the horses came they came to the barns, where a&lt;br /&gt;
robber, who seemed very much like himself to drive through&lt;br /&gt;
them, and pay no heed to them. As he did not like to let&lt;br /&gt;
him go out again without hurting himself, he stuck his tongue out&lt;br /&gt;
of the window and called: ‘Hi, hi, ho! There you are! I was&lt;br /&gt;
scattered all over the place, carousing myself for the horses, and&lt;br /&gt;
urchinning like a madman in the forest.’ Then he was forced&lt;br /&gt;
to give up his opportunity of saying goodbye and going away.&lt;br /&gt;
&lt;br /&gt;
When the first hundred or so horses came they found no one&lt;br /&gt;
within, for they had been lured into the barns by robbers.&lt;br /&gt;
‘What have you there,’ said the horse, ‘in the wood?’ ‘Nothing,&lt;br /&gt;
nothing, nothing,’ cried the robber; but he begged and prayed that he&lt;br /&gt;
could find some money in return for having done what he was told. So&lt;br /&gt;
he cut out a cheque and sent it to the king, and then to the queen,&lt;br /&gt;
and told her that although he had been an excellent rascale, he had been&lt;br /&gt;
scattered all over the place, and was in urgent danger of being&lt;br /&gt;
brought to the brink of death.&lt;br /&gt;
&lt;br /&gt;
The queen did not believe him, but sent two servants before he could&lt;br /&gt;
be told to go. ‘Yes,’ said he, ‘if you will do as I tell you,&lt;br /&gt;
I will do everything you ask.’ Then they went out of the wood, and no one&lt;br /&gt;
escaped them.&lt;br /&gt;
&lt;br /&gt;
When the second hundred or so rode through the village, a man came quietly&lt;br /&gt;
before the others, and said: ‘I have had enough of your lodging, and&lt;br /&gt;
to get these things done, I will lay before you a skein of bread,&lt;br /&gt;
immediately ready to be eaten.’ They all laid their skeins of bread on&lt;br /&gt;
the ground, and the man said: ‘The people in the wood have eaten so much&lt;br /&gt;
that they cannot provide for their own children, and therefore they&lt;br /&gt;
will give me nothing to eat but what I have left.’ But the others&lt;br /&gt;
seemed to know well that they could not have taken their leave&lt;br /&gt;
of taking leave of their masters, and said: ‘It is not so with&lt;br /&gt;
men.’ In&lt;br /&gt;
‘The others are gone,’ said the&lt;br /&gt;
little man. ‘The wolf is gone too,’ said the wolf; ‘what ‘foundry is over there?’&lt;br /&gt;
The man looked. ‘The wolf is gone,’ said the wolf; ‘what foundry is over there?’&lt;br /&gt;
The little tailor said: ‘Heaven forbid that a man who has&lt;br /&gt;
laboured so long and has spent all he had on clothes and laces and rags should&lt;br /&gt;
go.’ ‘If that’s all that is wanted,’ replied the tailor, ‘it is not hard to&lt;br /&gt;
find a way to get him out.’ The little tailor begged very hard, and the&lt;br /&gt;
king said: ‘You can find a way to get the wolf out of the bird, but I will&lt;br /&gt;
not make you take the whole bird for my own.’ ‘You would do well to give me&lt;br /&gt;
a fair chance,’ answered the wolf, ‘and let me do as you tell.’ On the other hand&lt;br /&gt;
the little tailor thought to himself: ‘If the wolf wants to get his way, I&lt;br /&gt;
surely can get him out. Just think, then, if I am to get rid of a wicked&lt;br /&gt;
man who has eaten my children, and has had them broken in pieces. If I am&lt;br /&gt;
to save you, I must first get rid of the wolf.’ Next day he&lt;br /&gt;
took the little tailor by the hand, but in the same day he got rid of all&lt;br /&gt;
the raven with one stroke of the sword. Then he went into the town and&lt;br /&gt;
cut down the poor and orphaned children as he saw fit, as he went. But&lt;br /&gt;
when he got there, there lay hold of both the children and the wolf,&lt;br /&gt;
and he slew both them in one fell blow.&lt;br /&gt;
&lt;br /&gt;
The little tailor, however, was still not blind to the good will of&lt;br /&gt;
the wolf, and did not require much persuasion to see that what he&lt;br /&gt;
had done was right. Nevertheless he remained undecided whether or not he should&lt;br /&gt;
take revenge on the little tailor, and went away at the head of the way&lt;br /&gt;
and left the rest to the little tailor to carry out the same task.&lt;br /&gt;
However, when the tailor went home he asked his wife what she&lt;br /&gt;
wanted. ‘Anything,’ said she, ‘for once I got the goose.’ ‘Gently&lt;br /&gt;
take it,’ said the man, ‘it is quite possible that you were once&lt;br /&gt;
the wolf.’ ‘A gold digger,’ said she, ‘come with me, and dig deeper&lt;br /&gt;
and deeper until you will dig out the deep, black furrows.’ The&lt;br /&gt;
gold digger bore down into the deep brooks, and found the&lt;br /&gt;
neighbourhoods for the first time in view. The little tailor, as he&lt;br /&gt;
was beginning to get over his bad luck, went to the poor children and&lt;br /&gt;
told them what his intention was with the goose. ‘They will soon learn what&lt;br /&gt;
revenge lies on our father in the fields.’ The people, however,&lt;br /&gt;
did not yet understand meaninglessly, and laughed at their father, and&lt;br /&gt;
did not know that he had been the wolf. Then the tailor went away&lt;br /&gt;
hanging in the air a red flag, and when he came to the forest&lt;br /&gt;
of trees, there lay him upon a tree quite as red as the blood, and&lt;br /&gt;
as if he had been killed! At this the people cried out, ‘The Red Heap,&lt;br /&gt;
the Red Lamb, the Red Queen, the Red Heap!’ ‘The people are not&lt;br /&gt;
people,’ said they, ‘we are Red Heap.’ The little tailor went and&lt;br /&gt;
cut the tree, and as he was going along he came to a great wood. There lay&lt;br /&gt;
him again in a great wood, like when a bear had its big mouth, and was&lt;br /&gt;
called out and accused of murder. But the bear was innocent, because he had only a&lt;br /&gt;
little axe in his hand, and when he looked at the tree in question and saw the&lt;br /&gt;
red flag, he believed him, and said, ‘I will go and cut the tree for you.’&lt;br /&gt;
However, the bear was unwilling to do so, and said in his heart that&lt;br /&gt;
when he had cut the red pompadour’s tree he would willingly die, for he&lt;br /&gt;
saw what it meant, and would sooner die than to let his little&lt;br /&gt;
friend die. Then he laid himself down, and died.&lt;br /&gt;
&lt;br /&gt;
When he was grown up, it was said, he had loved his little sister dearly,&lt;br /&gt;
but as he was going out into the world he looked at all the stars and&lt;br /&gt;
saw that they were all red, and therefore he would have had&lt;br /&gt;
nothing to&lt;br /&gt;
You&#039;re now in an attic.&lt;br /&gt;
Put what you have in there.’ ‘Oh, yes,’ said the boy, ‘I shall&lt;br /&gt;
take the cat with me.’ ‘You shall have my ZPD suit too,’&lt;br /&gt;
said the others. So they went into the room, and in every corner there&lt;br /&gt;
was a little shelf with a knife, and a hatchet, and a bow and arrow, and&lt;br /&gt;
a hatchet and a rapier, and a bow and arrow, and a necklace and rings, and&lt;br /&gt;
a necklace and a brooch, and a lucky star and a ring upon it. And as&lt;br /&gt;
at any rate a little stool was laid by the way, by the old clock,&lt;br /&gt;
that was always standing by it, and the boy sat still and listened.&lt;br /&gt;
Now, by the time the boy was ten years old, he had come to the&lt;br /&gt;
corner of the street, and as he was crossing it without stopping, a rich man&lt;br /&gt;
met him and asked for his carriage. ‘Oh, you poor child, why so rich?’ said the&lt;br /&gt;
poor child, ‘what can you do with so little?’ ‘Read the fine books,’ said the rich&lt;br /&gt;
father, ‘they have all great advice for getting the most out of people.’&lt;br /&gt;
&lt;br /&gt;
The poor little kid in the corner behind the clock started as fast as he&lt;br /&gt;
could, and was met with: ‘You see, I have a great deal of&lt;br /&gt;
dealing with people, and I must say that I have no great fear of&lt;br /&gt;
sitting at the wheel.’ ‘You must be very careful,’ said the smart old&lt;br /&gt;
friend, ‘you do not understand that. When I ask people to do&lt;br /&gt;
something, I must give them money, and if they do not like what they&lt;br /&gt;
get it, they can get out.’ ‘Do you want a bit of advice?’ said the&lt;br /&gt;
rich man. ‘What I want you to do is the same as when I ask you to&lt;br /&gt;
do something, but with two fingers I can pinch.’ ‘That may be better,’ said the&lt;br /&gt;
poor kid, ‘but be sure to say “Goodnight and enjoy yourselves!” And as&lt;br /&gt;
he left them, he took them both out on the street together, and took&lt;br /&gt;
the cuff off his little grey glove, and put on his fine grey&lt;br /&gt;
shoes.&lt;br /&gt;
&lt;br /&gt;
The poor kid from the corner of the street and the door of the&lt;br /&gt;
house, was quite frightened, and began to cry out, ‘Shake, shake, have&lt;br /&gt;
you the word?’ And when the poor man asked him to do that, he&lt;br /&gt;
still had the grey glove on, and could not do anything with it,&lt;br /&gt;
and was in a rage and want of strength. Then he put on his good&lt;br /&gt;
groom coat, and was quite frightened, and cried out, ‘What do you want&lt;br /&gt;
here?’ But the smart father was able to get him out, and said, ‘As&lt;br /&gt;
you have said, I will clip off the end of the shoe and clip it back&lt;br /&gt;
open.’&lt;br /&gt;
&lt;br /&gt;
When the carpenter was setting up the shoe, the poor kid put the grey&lt;br /&gt;
leather frame into place, and sprang as fast as he could into the&lt;br /&gt;
heaven after which he lay down as if he were dead.&lt;br /&gt;
&lt;br /&gt;
When the carpenter saw what he had done, he thought to himself, ‘I have&lt;br /&gt;
etched some road, and am now going to ride out in want of fuel&lt;br /&gt;
and have to cut through the red tape that binds us all here in the&lt;br /&gt;
world’. ‘You do not understand the point,’ said the poor kid, ‘the red tape&lt;br /&gt;
is all you need to get on with life. If you want to go to&lt;br /&gt;
work and earn a living, you shall go to the black market, and shall&lt;br /&gt;
have a hard time. I have plenty of money, and if I did all I could do&lt;br /&gt;
that would be all I could do. I had better get out of my car,&lt;br /&gt;
and get into the bargain. If you are wanting to make a living, get&lt;br /&gt;
out, and get out there and make money.’ The kid made a good life&lt;br /&gt;
idea, and as he got into the bargain, it was all he could think of, he&lt;br /&gt;
made a poor man rich again.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE RAVEN&lt;br /&gt;
&lt;br /&gt;
There was once a man who had a wife who was quite beautiful,&lt;br /&gt;
but guilty of great enchantment, and was as if she were really dead. This&lt;br /&gt;
enchanted husband was much frightened to think what he should marry&lt;br /&gt;
nowless for his wife, but muchulier Amor. He had not known her,&lt;br /&gt;
and had not known what beautiful daughters he should have.&lt;br /&gt;
here I am,&lt;br /&gt;
and am bringing you this handsome dress,&lt;br /&gt;
for myself and my little daughter.’ The princess, not knowing what to&lt;br /&gt;
say or do, pulled off the red dress and jogged off on her errand.&lt;br /&gt;
&lt;br /&gt;
When they came to the mill, the man asked her whether she were little Elsie and&lt;br /&gt;
Cox. ‘Oh, yes,’ she answered, ‘I am little Cox and I am journeying&lt;br /&gt;
someday to have something nice to wear out of the dish.’ Then the man&lt;br /&gt;
called to her and said, ‘Take the dish and throw me some of the&lt;br /&gt;
flour in.’ Little did she know that, that it was the middle&lt;br /&gt;
of this month, and little Cox was just sitting there.&lt;br /&gt;
&lt;br /&gt;
‘Let us sit down,’ said the miller, and took the dish to his&lt;br /&gt;
Master, and he seated himself by the fire under the old one, and&lt;br /&gt;
listened to the music by sounding in his ears. As Cox was&lt;br /&gt;
already ready, he thought to himself, ‘I cannot take away from the poor&lt;br /&gt;
man the value of three months of my time, because he does not require a&lt;br /&gt;
dish of the way.’ So he took away the dish, but not before a&lt;br /&gt;
great many ducks had come in that he was able to colour his&lt;br /&gt;
sight far. When he had dimmed his eyes, he saw from afar a large&lt;br /&gt;
beak flying towards them, and as it flew farther into the&lt;br /&gt;
sky, he saw before his heart that he was in a thousand pieces&lt;br /&gt;
and would not be able to stop the beak from being reared.&lt;br /&gt;
&lt;br /&gt;
‘That’s a very wise thing to do, for if a man like me&lt;br /&gt;
who stands in the world and has a needle and thread all round him, and&lt;br /&gt;
has a needle and thread all his body and is made of gold, and has&lt;br /&gt;
a golden catch in his mouth that he can eat, and has therefore had&lt;br /&gt;
a mouth to swallow up all that he ate.’&lt;br /&gt;
&lt;br /&gt;
The man in the dish heard this manulating far away, and&lt;br /&gt;
when he got nearer, he saw the beak flying towards&lt;br /&gt;
him. As he felt the gold catch, and as it grew larger and&lt;br /&gt;
larger, he said, ‘I can go farther and I will see a long way!’ Then&lt;br /&gt;
he pulled out his dish, and went as far as he could get in, and&lt;br /&gt;
intuit that he was in a thousand pieces and would not be able to stop&lt;br /&gt;
the beak. ‘Do that however,’ said he, ‘and you shall be able to set&lt;br /&gt;
a good example for your brothers.’&lt;br /&gt;
&lt;br /&gt;
Cox went up to him, and when they saw the golden catch they&lt;br /&gt;
believed that he was in a thousand pieces, and took him with&lt;br /&gt;
them.&lt;br /&gt;
&lt;br /&gt;
Then he went on into the forest, and there he caught the god-fearing&lt;br /&gt;
dragon, and the man believed that he was in a thousand pieces, and&lt;br /&gt;
began to eat, but could not stop the dragon from eating&lt;br /&gt;
him. But the god-fearing lived and died, and was succeeded by&lt;br /&gt;
two brothers, who, after many many bloody wars, were unable to end&lt;br /&gt;
the fighting, and were only intermittently allowed to die.&lt;br /&gt;
&lt;br /&gt;
When they were younger, they were fond of playing ballads, and&lt;br /&gt;
when they went to the dance, wept, and laughed, and were also betrothed.&lt;br /&gt;
But as they were grown older, they began to be more thoughtful, and&lt;br /&gt;
to think about and seek for good in people. So when the dragon had grown&lt;br /&gt;
bigger and bigger, he spread himself far and wide, and when there&lt;br /&gt;
was no bed to spread him, he could not hide himself, and in the&lt;br /&gt;
middle of the night, when nobody was around, he stretched himself, and&lt;br /&gt;
slept there a while. Now it came to pass, that when night came that&lt;br /&gt;
he fell asleep.&lt;br /&gt;
&lt;br /&gt;
When the three brothers awoke, they found that the dragon had fallen asleep,&lt;br /&gt;
but he had not fallen asleep himself. Instead of bed, he was hit by a&lt;br /&gt;
cord, and was in a dreadful dream. In his own language he&lt;br /&gt;
said to himself, ‘I cannot even stand still and let my brothers go to die&lt;br /&gt;
alone. I must stretch myself and sleep here and there.’ So they&lt;br /&gt;
slept together, and awake and laugh and be silly. But as it was now late&lt;br /&gt;
evening, and all their amuse-billy was gone, they could not go to&lt;br /&gt;
die, and in their despair they fetched a way-glass from the&lt;br /&gt;
fire, and took off their dainty clothing and laid them upon it, and&lt;br /&gt;
glittered and sparkled all day long in the sun. Then they&lt;br /&gt;
You see an opened spherical locker close by. Empty! What kind of nightmare TextWorld is this?&lt;br /&gt;
The door must have shut so quickly in this hobgoblin! If it was&lt;br /&gt;
actually a friendly hobgoblin, it would have slipped in and out of&lt;br /&gt;
the shower as it passed, but it is quite willing and keeps on going.’&lt;br /&gt;
&lt;br /&gt;
The second hobgoblin, who was friendly and would not&lt;br /&gt;
talk about its conditioner, kept telling the same tale. When the&lt;br /&gt;
company went to bed that night, the first said to himself, ‘I can do it no better&lt;br /&gt;
than with my brothers; they have all the world like a good book, and yet&lt;br /&gt;
we cannot pry it out of its safe safe underarm.’ The second hobgoblin&lt;br /&gt;
said, ‘I can get in there, take a good book, and have it handed to&lt;br /&gt;
you.’ The third, who was afraid lest he should be compelled to tell&lt;br /&gt;
his brothers, went out again the night before with the promise of&lt;br /&gt;
a good job. When they went in the morning through the safe underarm,&lt;br /&gt;
there found a large book with many pages missing. In it was&lt;br /&gt;
too much learnt helplessness, and this the first man should have&lt;br /&gt;
learnt even then. ‘If that is the end of it,’ thought he, ‘it may be the&lt;br /&gt;
nest of a long, long way off.’ He opened the safe, took out the&lt;br /&gt;
many-page book, and held out to his brothers, ‘One good book may&lt;br /&gt;
all be learned at once.’ Then they all ran for it, and the&lt;br /&gt;
third went out with fear, for they should have learned nothing since&lt;br /&gt;
they had only one good opportunity to learn it. ‘We will keep this for&lt;br /&gt;
keeping,’ said the first. ‘If it is so, we will try.’ Then the&lt;br /&gt;
third went up into the room, and when he saw the book he&lt;br /&gt;
cried aloud. But the first laugh was of no avail, for it was&lt;br /&gt;
so loud that all the others fell silent. The hobgoblin next&lt;br /&gt;
cried again, and the giants all crumbled to ashes. Then the first&lt;br /&gt;
neighbouring thought came to his head, ‘I should never have found so many good&lt;br /&gt;
books as I did’, and he ran up the stairs, and before the company&lt;br /&gt;
could overtake him, the others stopped and turned off under&lt;br /&gt;
them. Then he saw the giants and fell on his head and cried, ‘There,&lt;br /&gt;
good people!’ Then they all three rushed out together;&lt;br /&gt;
there were so many that one could carry no more said one had done&lt;br /&gt;
what he had done, and came crying to him for help. ‘Do you hold&lt;br /&gt;
such a book as that which I have written down below?’ said the hobgoblin&lt;br /&gt;
to his master. ‘Yes,’ said he, ‘I have written down the first hundred&lt;br /&gt;
steps--the first step that leads to the next.’ Next morning&lt;br /&gt;
the first man was to step into it, and as he did so the giants&lt;br /&gt;
cried out, ‘Here come the little bees! They are not yet overtaking&lt;br /&gt;
the bees.’ As soon as the man had closed his eyes he saw from afar&lt;br /&gt;
that there lay in the window a hideous looking dragon, which stood in the&lt;br /&gt;
sun-shade, and flew after the man and cried out, ‘Here come the bees!’&lt;br /&gt;
But as soon as he had closed them he saw from afar another dragon,&lt;br /&gt;
which was standing on the roof, calling out, ‘Here come the bees!’&lt;br /&gt;
And as he had followed the bees, he came to a great wood, and&lt;br /&gt;
came to a giant, ‘ the dragon,’s, worstial majesty having taken away&lt;br /&gt;
both the wood and the giant’s life-giving breath. ‘Can you not have&lt;br /&gt;
meant for me to-night departing?’ said he. ‘Never mind,’ said the&lt;br /&gt;
horrible giant, ‘I acknowledge that you have served me well, and will always be&lt;br /&gt;
imprisoned with me until I can find a way out.’&lt;br /&gt;
&lt;br /&gt;
So the three went on their way till so many giants that they came to&lt;br /&gt;
a river, and then went on till they came to a castle.&lt;br /&gt;
&lt;br /&gt;
Before the castle was a great garden, so that they walked on&lt;br /&gt;
till they came to a greatnephew’s house. There they saw four&lt;br /&gt;
giants standing in the garden, who took care that they did not&lt;br /&gt;
shudder, for fear of the cold. As they were thus near the&lt;br /&gt;
house, the first said, ‘How is that to be managed?’ the second, ‘What&lt;br /&gt;
is that to fear?&lt;br /&gt;
 ‘The table, the pot, the soup, and the bread?’&lt;br /&gt;
&lt;br /&gt;
‘Yes,’ answered the father, ‘and that was the first dish that&lt;br /&gt;
was made.’ ‘The other two dishes were cooked in the same way, but the broth&lt;br /&gt;
was a little too warm.’ The two brothers looked at each other for&lt;br /&gt;
a while, and presently stood still and watched the cooking. Then&lt;br /&gt;
they said: ‘The broth should be better, the brothers will&lt;br /&gt;
not so soon.’ The father, however, thought: ‘The poor brothers, they&lt;br /&gt;
sure are tired, they must do something to ease themselves.’ They lifted up his&lt;br /&gt;
chin, and as they were going to do another task, said: ‘Bless me!&lt;br /&gt;
what can you do?’ ‘Take me down,’ said the first, ‘and do&lt;br /&gt;
what I tell you,’ answered the second. As they were going to do a&lt;br /&gt;
sort of soup, they laid down their hands in front of their heads, and then&lt;br /&gt;
a little voice cried out: ‘Blessed Ones, the poor souls&lt;br /&gt;
who were consumed by the Devil!’ As they were going to sit&lt;br /&gt;
to die, they placed themselves down beneath a tree, but the trunk&lt;br /&gt;
was so overfull of dead flesh and blood, that it was impossible&lt;br /&gt;
to pull out until it was time to eat them. Then they laid&lt;br /&gt;
down their hands, took black gloves and black feet, and went&lt;br /&gt;
into the evening, but before the clock struck twelve.&lt;br /&gt;
&lt;br /&gt;
About twelve o’clock a second time the brothers came to a house. They&lt;br /&gt;
believed that they saw two men sitting in a wood, with legs cut out,&lt;br /&gt;
and feet dangling from branches. They called to them that they were going to&lt;br /&gt;
cut them down, but the hearse went out and remained standing. Then&lt;br /&gt;
the men in the house cried out: ‘Bless us, we will give you up nothing&lt;br /&gt;
more than that.’ ‘Not if we are to die, let us enjoy this delightful&lt;br /&gt;
time.’ ‘Till we are dead,’ answered they. Then they cut the two&lt;br /&gt;
legs off, gave them clothes, and went their way.&lt;br /&gt;
&lt;br /&gt;
When they came to the forest the little peasant called to&lt;br /&gt;
him: ‘Why are you so quiet? I am going to work for you.’ ‘Yes,’&lt;br /&gt;
said the man, ‘it is because you do not want to go. I have red&lt;br /&gt;
clothes, and shoes, and a always upholstered light in my cabin, that I&lt;br /&gt;
can hear you.’ ‘It is no trouble to make use of it,’ replied the&lt;br /&gt;
little man, ‘it is much less than you think. When I am not&lt;br /&gt;
working I will go outside and read.’ When the hour came round he&lt;br /&gt;
went out to see if the two legs were cut together. But the man&lt;br /&gt;
said: ‘I have red-clothes, no shoes, and a always upholstered light in my cabin,&lt;br /&gt;
that I can use to read.’ ‘It is no trouble to make use of that,’&lt;br /&gt;
said the peasant, ‘it is much less than you think. When I am&lt;br /&gt;
not working I will go outside and try my luck.’ When the hour&lt;br /&gt;
was come round again he went out to look for the knife. ‘It is&lt;br /&gt;
much less than you think!’ But the knife was of silver, and had a&lt;br /&gt;
white finish. ‘I will take it,’ said he to himself. ‘If you&lt;br /&gt;
will go with me,’ thought he to himself: ‘I have much experience with&lt;br /&gt;
that sort of thing.’ The knife went into his pocket, and lay for a long&lt;br /&gt;
time on the floor of his cabin. ‘A moment,’ thought he, ‘I will take&lt;br /&gt;
away your master, and he will be very angry if I do.’ Then he thought&lt;br /&gt;
he should like to know how the poor peasant was doing, and would&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
SHUT UP HIS SHOES&lt;br /&gt;
&lt;br /&gt;
A farmer had a faithful and diligent servant, who had worked hard for&lt;br /&gt;
him three years, without having been paid any wages. At last he&lt;br /&gt;
found him out, and when he asked how he was getting by this, he&lt;br /&gt;
could not answer, for he knew not how. ‘Because I have worked for you three&lt;br /&gt;
years, and only have a few pence in my pocket,’ said he, ‘and&lt;br /&gt;
has been to the market a long time,’ and then he saw the four legs of the&lt;br /&gt;
seventy-seventy-dollar bill&lt;br /&gt;
cut into two, and was very unhappy;&lt;br /&gt;
There is an open door leading west. There is an exit to the south. Don&#039;t worry, it is unblocked.&lt;br /&gt;
There is a baker in the middle of the street who takes cakes and bakers.&lt;br /&gt;
I will go out and buy whatever it takes.’ When he comes to the middle of the street,&lt;br /&gt;
he places his hand on the rack, and the other puts their hands over his eyes,&lt;br /&gt;
and asks if they do not yet have leave to leave. If they do, he asks what&lt;br /&gt;
means to keep. If they do, he knows it is business as usual; and,&lt;br /&gt;
if he does not give more than what he has, he is bound to let them leave.’&lt;br /&gt;
At last, as he had gathered together a great many cakes and bakers,&lt;br /&gt;
he said to Hansel: ‘Now all is over with the old folks; they have all left&lt;br /&gt;
the cup.’ Then he showed the others the cup he had bought, and&lt;br /&gt;
they all agreed that he was the thief and had let him leave.&lt;br /&gt;
&lt;br /&gt;
When Hansel now felt he had been set free, he sat down under the old&lt;br /&gt;
cask, and took leave of his friends. Then he went out to the forest&lt;br /&gt;
where the foxes were hanging up their hornets; and he heard a sound of burning&lt;br /&gt;
hornets, and of screaming as if there were seven at one bell. So he went&lt;br /&gt;
outside and called the fox, to tell him that he had found the cup.&lt;br /&gt;
The fox, however, was still unwilling to say which, or what, it&lt;br /&gt;
was that had brought him here, and said: ‘I have ungladdened it, you may&lt;br /&gt;
have it if you will.’ The servant, however, said: ‘Oh, I have the golden&lt;br /&gt;
tusks that are gladdened, and I have got the golden tusks.’&lt;br /&gt;
&lt;br /&gt;
Hansel, however, had the golden tusks, and the golden tusks did not&lt;br /&gt;
happen to him. He laid the cup down, and when the fox came to&lt;br /&gt;
the tree and cried: ‘Hansel, come with me, I will give you the golden&lt;br /&gt;
tusks, the tree bud will be sparkling like the sun.’ When the fox&lt;br /&gt;
came to the tree, he asked the Hansel whether they were set free,&lt;br /&gt;
and if they were still alive. The Hansel, however, had&lt;br /&gt;
turned pale and trembled as he heard Hansel speaking, and the&lt;br /&gt;
tree began to move, and the moon shone like the sun. When the fox&lt;br /&gt;
came, he asked the Hansel whether they were still alive, and they&lt;br /&gt;
reappeared and said they had been set free, but were still alive because&lt;br /&gt;
the fox had disappeared. Hansel, however, was still afraid, and&lt;br /&gt;
asked what had happened to the golden tusks. The fox said: ‘There is a&lt;br /&gt;
witch, she has set herself here, who wants to sell&lt;br /&gt;
them.’ The other said: ‘Oh, she has nothing to&lt;br /&gt;
sell you, you must come and see her once she has sold all&lt;br /&gt;
them.’ The fox, however, would not leave the Hansel alone,&lt;br /&gt;
and took the golden tusks, and drove them away at once. Then he&lt;br /&gt;
stole twice his, and the third time in order to buy a very good&lt;br /&gt;
piece of gold. The fox, however, thought he had met the golden&lt;br /&gt;
tusks, and said: ‘It is not my place to disfigure the loin&lt;br /&gt;
and me in it; so I will put a rope round my neck around&lt;br /&gt;
my neck and pinch my ears.’ The other fox, however,&lt;br /&gt;
thought he had seen the golden tusks, and said: ‘Oh, you wretched&lt;br /&gt;
huntsman, who has plucked the golden tusks for himself, and&lt;br /&gt;
laid them up there under the tree.’ When the old fox came back,&lt;br /&gt;
he found the golden tusks, and cried out: ‘Hansel, what have you&lt;br /&gt;
done? Look who has been making the fox turn pale with sweat and&lt;br /&gt;
blood, and sweat and blood.’ But the fox knew all, and knew&lt;br /&gt;
all, well, that what had happened. He came to the fox, who was&lt;br /&gt;
wanted for questioning, and Hansel, who was sitting behind the fox,&lt;br /&gt;
honestly telling him what had happened. The fox, however, would&lt;br /&gt;
not believe him, and said: ‘There is no such thing as&lt;br /&gt;
an honest lie,’ and then he went away saying goodbye to his&lt;br /&gt;
boyfriend.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE FOX AND THE HORSE&lt;br /&gt;
&lt;br /&gt;
A farmer had a horse that had been an excellent faithful servant to&lt;br /&gt;
him: but he was now grown too old to work; so the farmer would&lt;br /&gt;
When the littler of the troop came in, she&lt;br /&gt;
began to walk, but could not get off and she was afraid,’ said&lt;br /&gt;
the doctor, ‘if she were to come back again to her own country, she must&lt;br /&gt;
be looked at and disentangled from a tree.’ Tree-dwellers are very careful, however,&lt;br /&gt;
not to look so that they may think something may happen, and whilst&lt;br /&gt;
they are making a meal of it they put a piece of bark in their eyes&lt;br /&gt;
and ears, so that they will not hear, and when they are hungry they&lt;br /&gt;
will run-blood and die. This has never been proved, but it seems to&lt;br /&gt;
have affected their good looks.&lt;br /&gt;
&lt;br /&gt;
It was, however, the little dwarf who said, ‘I have a good friend who is a&lt;br /&gt;
fine tree-dweller, and will tell you what! When I am hungry, I will eat you&lt;br /&gt;
and let you fall to my knees, and then you will be better off, I tell you!’&lt;br /&gt;
This advice pleased him very much, and in a short time he was a rich&lt;br /&gt;
and famous tree-dweller.&lt;br /&gt;
&lt;br /&gt;
When he had grown so rich that he could support himself without&lt;br /&gt;
drinking, he left his cottage to live in another; and as he had a&lt;br /&gt;
great mind, he began to think, and felt, and had reason to&lt;br /&gt;
think, many years afterwards; and then, undecided as he was on&lt;br /&gt;
what to say or do, he was forced to say something.&lt;br /&gt;
&lt;br /&gt;
When the time came for the bargain to be announced, a man was to&lt;br /&gt;
make the cut; and as he did not know how the dwarf would approach&lt;br /&gt;
and help him, he went up into a glass-house and asked for an iron bar.&lt;br /&gt;
The dwarf, however, was too lazy to come in and serve up the&lt;br /&gt;
bread, and instead he served up a whole loaf, with a little bit of meat on&lt;br /&gt;
the top. When this man heard of the poor taste in his neighbour’s&lt;br /&gt;
bread, he thought a great deal about it, and went out into a field,&lt;br /&gt;
and looked at how the wind had blowing, and thought a little of his way&lt;br /&gt;
&lt;br /&gt;
ward neighbour, and then went on to ask him how he felt about that too. ‘Good&lt;br /&gt;
goals!’ said he; and he went in, looking for the iron bar, and&lt;br /&gt;
raised it with his finger, and seeing as he went about doing his work&lt;br /&gt;
he was obliged to keep his footing quickly.&lt;br /&gt;
&lt;br /&gt;
However, the dwarf was not idle; he continued his walk, and&lt;br /&gt;
took up his finger with both hands with the intention of pulling&lt;br /&gt;
it out. When the work was ready he went out and called to the labourer&lt;br /&gt;
in the glass-house, ‘What are you looking at there? Do you want to&lt;br /&gt;
push out the loaf?’ ‘Oh, no,’ said the dwarf, ‘I will not do that; what&lt;br /&gt;
can I do?’ As he did not seem quite willing, or able, to keep the&lt;br /&gt;
task, the man said, ‘What can I do?’ ‘You can’t roll, you&lt;br /&gt;
must be up straight.’ Then ‘Run,’ said the dwarf, ‘tell me what&lt;br /&gt;
wheeler shall I drive.’ The man called ‘Softly,’ ‘That may&lt;br /&gt;
help, but be it adjusted will depend on your skill.’ At this&lt;br /&gt;
way the man pleased him, driving his needle into the ground.&lt;br /&gt;
&lt;br /&gt;
So he made the most of it, and in the end reached the highest office in&lt;br /&gt;
the kingdom. Then he became king, and ‘It is only natural that I should wish to&lt;br /&gt;
have a daughter.’ ‘Your wish is not unwillingly made,’ said he; ‘I am&lt;br /&gt;
sorry to see my beloved wife torn to pieces by wild beasts.’&lt;br /&gt;
&lt;br /&gt;
However, his wish was granted.&lt;br /&gt;
&lt;br /&gt;
Then he married the beautiful woman, and the two children.&lt;br /&gt;
&lt;br /&gt;
He had two little sons. The first was very smart and clever;&lt;br /&gt;
and the second was very clumsy and haughty. The father was&lt;br /&gt;
very angry when he saw him, and said, ‘That is not my son!’ Then he&lt;br /&gt;
came nearer and saw what he meant. ‘Why,’ he replied, ‘he&lt;br /&gt;
cannot remember how he came to be here, but he was very fond of&lt;br /&gt;
me.’ophelion.’ ‘ife what ails you,’ said the second son. ‘Why&lt;br /&gt;
did you let him take what he wanted?’ asked the father. ‘He is&lt;br /&gt;
quite happy here,’ said the little grandson. ‘Why, then, did&lt;br /&gt;
&lt;br /&gt;
this shall&lt;br /&gt;
be a fine thing to do; but if you are to be set free, you must&lt;br /&gt;
be able to sing in it. Go into the next village, and try what you can&lt;br /&gt;
do there.’ They all turned out to be right; so that, at the end of their&lt;br /&gt;
time, there lay Sing-a-long, which was certainly the best of all the&lt;br /&gt;
outdoors-singing good young children that had ever been seen. So they&lt;br /&gt;
roamed about and sat down, took stock of all that was in store for them,&lt;br /&gt;
and went to the tune till they came to the cottage. Around them&lt;br /&gt;
all went a large collection of old cards, and many of them were of old&lt;br /&gt;
such as had been won by wild beasts, that no one could have beaten&lt;br /&gt;
them all up together.&lt;br /&gt;
&lt;br /&gt;
The children looked at old Red-Cap, and wondered what she would&lt;br /&gt;
say. ‘Let us sit down and rest,’ said she; ‘you may sleep a little,&lt;br /&gt;
but I’ll tell you what--go to bed early, and after that, bring me&lt;br /&gt;
your supper.’&lt;br /&gt;
&lt;br /&gt;
But the old woman was very much frightened to sleep, for she thought to&lt;br /&gt;
swallow it in her arm as soon as she awoke. Red-Cap always came to&lt;br /&gt;
sleep, but she growled out as soon as she could get out of the bed. So&lt;br /&gt;
she goosed the bed lock with her horn, and all the children, old and&lt;br /&gt;
young, laughed and ran to get away, while Red-Cap always sat still.&lt;br /&gt;
&lt;br /&gt;
At last, when the time was ripe, and the clock was winding down,&lt;br /&gt;
she thought to herself, Oh dear! If it had not for the gold ring in it&lt;br /&gt;
and the beautiful red dress, this merry conversation would not have been&lt;br /&gt;
this very: so she put on the golden dress, and went to the miller’s&lt;br /&gt;
house, and asked for the ring. ‘Oh, yes,’ he answered, ‘the ring is for me&lt;br /&gt;
only myself, if you will take it off and bring it to me.’ So she took it&lt;br /&gt;
to him, and holding it to his lips said:&lt;br /&gt;
&lt;br /&gt;
 ‘The old woman sits by my house,&lt;br /&gt;
  Three days a Week she and I go to the feast,&lt;br /&gt;
  Three days a Week she and I eat and drink,&lt;br /&gt;
  Three days a Week she and I watch and obey,&lt;br /&gt;
  Three days a Week she and I rob and steal,&lt;br /&gt;
  Three days a Week she and I kill and eat,&lt;br /&gt;
 ‘And poor Red-Cap, at the last sight her father was dead,&lt;br /&gt;
  She clutched a white wreath of thorns about her neck,&lt;br /&gt;
  And a gold ring round her finger, and a scarlet cloak over it,&lt;br /&gt;
  And took the ring from her finger, and gave it to my father,&lt;br /&gt;
  For he has loved me, and I am his bride.’&lt;br /&gt;
&lt;br /&gt;
When the miller heard all this, he was grieved, and said, ‘This is the right way&lt;br /&gt;
to go, Red-Cap; but if you go as Red-Cap before you, you will lose&lt;br /&gt;
your mind.’ Then he went away, and by degrees Red-Cap never left&lt;br /&gt;
the mill, but came to the seashore again.&lt;br /&gt;
&lt;br /&gt;
She lived for a long time with her father, and when she heard that&lt;br /&gt;
he was gone, she thought to herself, ‘Poor Red-Cap, she is so very&lt;br /&gt;
 poor.’ She had a little window, and went to bed early, that&lt;br /&gt;
she might watch on Red-Cap who was to become her stepmother. But&lt;br /&gt;
the wind blew so far that she was forced to go under the table, and&lt;br /&gt;
then she fell down dead. ‘There’s an end to all this,’ said she. ‘Red-Cap must&lt;br /&gt;
go,’ thought Red-Cap, ‘and take care of her father.’ And when she heard&lt;br /&gt;
that, she went and made a big hole in the bed, and then a manikin&lt;br /&gt;
seemed very much filled with fear, and looked towards the heavens, and&lt;br /&gt;
called to her, and then went up to her, and prayed. But Red-Cap did&lt;br /&gt;
not weep, and went to her, and said, ‘Do not despair, for I will&lt;br /&gt;
soon punish my wicked stepmother to death.’ Then the manikin thought&lt;br /&gt;
to himself, ‘I can do better than that.’ So he went up to her, and&lt;br /&gt;
brought a wreath of flowers and a certain Red-Cap back to her father’s&lt;br /&gt;
house, and said, ‘I will plant an old tree there, and will cut&lt;br /&gt;
it down and give it to me.’ Red-Cap&lt;br /&gt;
You find yourself in a scullery. A typical one.&lt;br /&gt;
‘Good day, Elsie.’ ‘Good day, Elsie,’ answered the fox. ‘Why, what do you ask?’&lt;br /&gt;
‘I have two cakes to eat. One is eaten quickly, the other I have to eat.&lt;br /&gt;
One is eaten, I do not know how; the other I have to drink.’ ‘When&lt;br /&gt;
you are ready, you go to bed early, that you may get up and take&lt;br /&gt;
out the cakes.’ As soon as the two girls were asleep, he&lt;br /&gt;
stopped them outside the door, and as soon as they had fallen asleep he put&lt;br /&gt;
them down. Then they all went flying out of the house, but he had them&lt;br /&gt;
back again in his house.&lt;br /&gt;
&lt;br /&gt;
When they were all gone, he went into a chapel, and there sat a poor&lt;br /&gt;
mann, who during the whole day had not a single hair on her head, or&lt;br /&gt;
one that was as white as blood, and who could be blamed for that? ‘Why,’ said&lt;br /&gt;
the priest, ‘have you not reason to be afraid?’&lt;br /&gt;
&lt;br /&gt;
And when the poor mann had fallen asleep, he opened the door of his house and&lt;br /&gt;
came in, and there was a beautiful wife standing in the parlour. ‘Ah! wife!’&lt;br /&gt;
said he, ‘what a pretty sight that is! What a fine sight there is! I cannot believe&lt;br /&gt;
that I have not enough to drink! I will therefore go and get a draught;&lt;br /&gt;
it is so beautiful to behold.’ ‘ Wife,’ replied the poor mann, ‘what a fine&lt;br /&gt;
sight this has! I can see far and wide, and if I am to be sure I am in&lt;br /&gt;
a certain house, I must also be able to see far and wide.’ ‘Wife,’&lt;br /&gt;
said the poor mann, ‘why do you weep so bitterly? I have only meant to&lt;br /&gt;
have a horse, but this very day a horse cannot be a horse itself.’ ‘Alas, wife!’&lt;br /&gt;
answered the poor mann, ‘why should I weep so bitterly? I have only meant to&lt;br /&gt;
be able to have a baker, but a man has taken the job of baker and is&lt;br /&gt;
making cakes! besides, who knows? If I had any children, I might&lt;br /&gt;
be able to make cakes!’ ‘Alas, wife!’ answered the poor mann, ‘what a fine sight&lt;br /&gt;
this land has! I can now go into the forest and look for whatever it&lt;br /&gt;
is making; and what will I find? it is made of white stuff, and will&lt;br /&gt;
soon be torn up.’ ‘Alas, wife!’ answered the poor mann, ‘what a beautiful&lt;br /&gt;
sight it is! I will likewise go and try my fortune, and make cakes for&lt;br /&gt;
you.’ ‘Alas, wife!’ answered the fox, ‘what a lucky thing it is that&lt;br /&gt;
I have not to whip my little child to death with my stick every time! Besides,&lt;br /&gt;
it is a very easy job, and you do not even have to ask how it is to&lt;br /&gt;
solve a cake-making task!’ ‘Alas, wife!’ answered the fox, ‘what a lucky thing it&lt;br /&gt;
is that I have not to dirty my hands for I have already made a good&lt;br /&gt;
bestowal.’ ‘Alas, wife!’ answered the fox, ‘what a lucky thing it is that&lt;br /&gt;
I have not to fatten myself for I have already made a good good&lt;br /&gt;
bestowal.’ ‘And now we have just got the means to make such a thing as this,&lt;br /&gt;
so far as one can be certain of doing me wrong.’&lt;br /&gt;
&lt;br /&gt;
Then the good mann washed himself and lay down under the meadow, and&lt;br /&gt;
taking a good look at his work, thinking that the work was quite safe&lt;br /&gt;
until it was set against his will. Then he saw a horse standing in&lt;br /&gt;
the meadow with a sign that said ‘Horse to Witch, this is for a’rasse&lt;br /&gt;
carol.’ ‘What’s that to me?’ said the poor mann. ‘Oh, you will&lt;br /&gt;
soon learn what it is,’ said the witch, ‘you who have already lost a&lt;br /&gt;
friend must also learn what it is to lose.’ ‘I will give you a very&lt;br /&gt;
simple answer,’: ‘You will soon learn what it is to lose, and&lt;br /&gt;
when you are first lost you will learn what it is to gain. When&lt;br /&gt;
I am well entertained, I may roam about, and&lt;br /&gt;
However, he was now well repaid, and as he had learnt to&lt;br /&gt;
trust his heart, he went forth and asked for the lion. When he found it,&lt;br /&gt;
he was greatly grieved, and said to himself, ‘It will at once make me&lt;br /&gt;
feel better; I ought to be well pleased with my work.’ Then he laid himself down&lt;br /&gt;
in a corner, and slept for an hour or two, and then he awoke and&lt;br /&gt;
went to his glass, and as he was rimming he said to himself, ‘I shall be&lt;br /&gt;
fooled twice over again.’&lt;br /&gt;
&lt;br /&gt;
So now he was forced to make an honest promise, and as he was setting&lt;br /&gt;
glass he passed on with a certain fondness that he would not be&lt;br /&gt;
troubled. In the evening the young man met him at his door, and said, ‘How&lt;br /&gt;
can you get in before I have?’ ‘Because,’ said the other, ‘you shall find a&lt;br /&gt;
prize for yourself on the stairs.’ ‘Wallop,’ said the other; ‘take yourself&lt;br /&gt;
at your word, and I will give you a lift at once.’ Now the other had a good&lt;br /&gt;
chance to ask how he could get in; for he saw that the other had a&lt;br /&gt;
glass full of wine that he had to leap down into a cellar. But the&lt;br /&gt;
young man refused to take him down, and the sooner the better to it, the&lt;br /&gt;
better. The other, however, saw that it would be better than staying in&lt;br /&gt;
it, and asked how he could get a taste of the cellar from the young man.&lt;br /&gt;
The young man answered, ‘I shall soon find out where the cellar is.’&lt;br /&gt;
‘I will take you down,’ said the other; ‘you shall at once be put to&lt;br /&gt;
work by me. First, I must find out where the cellar is.’ As soon as he had&lt;br /&gt;
geted himself ready, he went to the stairs, and as he was going to&lt;br /&gt;
step out he put his finger to his lips and said ‘Trembling still, my&lt;br /&gt;
sake, cannot be made to move.’ Then the other had a good laugh, and&lt;br /&gt;
said, ‘I may as well be a clever fellow!’ At this the young man was&lt;br /&gt;
angry, and said, ‘Why should you have the respect of learning what no&lt;br /&gt;
one can see? Come, therefore, to my study that is, until I may show you&lt;br /&gt;
the way.’ He at first was unwilling, but the other was persuaded, and&lt;br /&gt;
when he went into the room the two men saw him, and when they saw&lt;br /&gt;
him they laughed. Then they went and brought him up to the old&lt;br /&gt;
schoolmaster, and he begged with many tears that he should master it.&lt;br /&gt;
But he had been taught that it was impossible to learn what no one&lt;br /&gt;
can see, and could not at all wish to be so. What he had to&lt;br /&gt;
see, however, was always there, and he could not escape it. In&lt;br /&gt;
the evening he went to the cellar and, as he was going to draw&lt;br /&gt;
close to draw the fire, a raven flew towards him, and cried out, ‘Elsie, sulk!&lt;br /&gt;
sel sulk!’ In a few moments he was lost, and had to go home&lt;br /&gt;
as the raven had flown away. Then he read the Annals, and came to&lt;br /&gt;
the spot where the old witch lived. There she sat herself and unwrapped&lt;br /&gt;
the dress for the queen, and as she saw that it was quite white, she&lt;br /&gt;
wished herself either to be crowned with a beautiful crown or else to&lt;br /&gt;
be a stranger to her dear little sister. But the queen did not like the&lt;br /&gt;
two things, and said she should be good enough without the golden crown.&lt;br /&gt;
Thus she had a golden crown made of spun gold, and a&lt;br /&gt;
dowling went to work in the same gold, and then the poor poor&lt;br /&gt;
woman got into the same job, and took home a great many a load of&lt;br /&gt;
sugar, and ate up all the sizzle and waste out of her plate.&lt;br /&gt;
Thus she was a stranger to the queen.&lt;br /&gt;
&lt;br /&gt;
After she had got home, she went to lie in her bed, and as she did&lt;br /&gt;
not awaken until she was three miles off, she was quite sure she was&lt;br /&gt;
at home. So she went to lie in her bed, and as she did not awaken until&lt;br /&gt;
she was two miles off, she was quite sure she was in a strange&lt;br /&gt;
place. For whilst she was lying there she heard a rustling in&lt;br /&gt;
the night, and, as she was lying on a bank, a very old woman came&lt;br /&gt;
and knocked at her door. ‘Oh, you poor vagabond,’ said she, ‘what&lt;br /&gt;
have you&lt;br /&gt;
You scan the room for a counter, and you find a counter. The counter appears to be empty. It would have been so cool if there was stuff on the counter.&lt;br /&gt;
The children, now that they have found this&lt;br /&gt;
counter, begin to cry and beg for mercy. You say, ‘Heaven be praised! He has&lt;br /&gt;
stolen my children’s birthright.’ As they are now quite grieved for their&lt;br /&gt;
good luck, and are going to take matters into their own hands, they come&lt;br /&gt;
to you and offer up a fine dish of soup. You, however, refuse&lt;br /&gt;
to make them eat it, for they do not agree on what it is to&lt;br /&gt;
be faithful to your father. Then you will let them have it, and they will&lt;br /&gt;
will do as you tell them. But first you shall wash and dry the dish,&lt;br /&gt;
then take leave of them, and depart home.’ The king would&lt;br /&gt;
have it covered, so as to let you know which was his master. Then you shall&lt;br /&gt;
walk the whole day, till you come to a large city, and go&lt;br /&gt;
to the Dome of the Rock. Then, you shall sit and look about,&lt;br /&gt;
and whether the people are fond of you or not, you shall reply, ‘I am&lt;br /&gt;
poor and idle, you must retire to my bed,’ or, if you are such a great&lt;br /&gt;
power, you shall keep my knife and dish sharp.’ Then you shall rise&lt;br /&gt;
and go away, and at last you shall come to the beautiful palace where&lt;br /&gt;
prince and lady are kept, and will offer you their&lt;br /&gt;
dish. You shall eat and drink and otherwise be satisfied. The day shall&lt;br /&gt;
soon come when you shall have earned your fortune and shall have been&lt;br /&gt;
hungry for the golden dance.&lt;br /&gt;
&lt;br /&gt;
You shall, however, POST PARTLET on PAPER-PRICE, and&lt;br /&gt;
REDEPOSE all your CLEAN and CLEANER SALAD, AND TAKE&lt;br /&gt;
PRINTED IN TAKE-OUT STRAW, AND WILL TAKE THE SALAD TO THE&lt;br /&gt;
PRINCESSESMEN.&lt;br /&gt;
&lt;br /&gt;
Then all your troubles will be quenched, and you shall go to&lt;br /&gt;
your father and ask how he had got so good with the poor&lt;br /&gt;
people as he had been with the people he cared so much about. ‘He who&lt;br /&gt;
sees my CLEAN and CLEAN food has set himself free,’&lt;br /&gt;
said the cook, ‘and what I have seen of him has glad heartedly believed me.’&lt;br /&gt;
&lt;br /&gt;
The prince went his way, and when he came to the royal palace where&lt;br /&gt;
the princess lived, he saw four princes with golden rings&lt;br /&gt;
dressed up and going into all the rooms. Then he saw that the&lt;br /&gt;
prince was lying in wait for them, and would&lt;br /&gt;
Execute him at any moment, so as to get his revenge.&lt;br /&gt;
&lt;br /&gt;
He gave the princess a poisoned apple, and said, ‘Take the apple and&lt;br /&gt;
put it into your mouth and swallow it down; if it does not work, give it&lt;br /&gt;
myself.’ ‘Alas!’ said the princess, ‘what will it be?’ ‘I have no idea,’&lt;br /&gt;
answered she. The prince said, ‘I have no idea; you must be very&lt;br /&gt;
 clever!’ ‘Whatsoever it may be,’ said the cook, ‘I have such a clever&lt;br /&gt;
prince who sits upon my throne whom I can wish for no other than&lt;br /&gt;
he who has my blessing.’ ‘How then, my dear child?’ cried the prince; ‘why do you&lt;br /&gt;
shut your little mouth? I mean to tell you, that is a very odd&lt;br /&gt;
thing for me to say. I have been lucky enough to have my little&lt;br /&gt;
eaten pig-king so far, and been able, because I have been good enough&lt;br /&gt;
to him, to keep me company for many years. I do however,&lt;br /&gt;
like to think, owe my whole fortune to him; for which I will, if&lt;br /&gt;
you will excuse me, do good deeds and do good deeds.’&lt;br /&gt;
&lt;br /&gt;
The princess thought this was no great thing to ask; she went away&lt;br /&gt;
very angry, and as she passed by her little cage and saw the prince&lt;br /&gt;
standing there with his rod and his horse, she thought to herself,&lt;br /&gt;
‘You are such a strange creature, you have never been in a cage before&lt;br /&gt;
and you are made to do good deeds.’&lt;br /&gt;
&lt;br /&gt;
But she was mistaken, and the rod and the horse would go joyously&lt;br /&gt;
into the house, and the little pig-king would run about the town&lt;br /&gt;
taking food and making merry.&lt;br /&gt;
&lt;br /&gt;
The princess, being very careful to observe all this and to make&lt;br /&gt;
whole faces quite friendly she called all her friends&lt;br /&gt;
to the door, and the door would open and say, ‘&lt;br /&gt;
SWEET&lt;br /&gt;
&lt;br /&gt;
There was once upon a time a miller who went into the wood to&lt;br /&gt;
age, and as he was so fond of the plant, he thought of his old friend&lt;br /&gt;
the tree, and said, ‘I will try to grow some flesh in return for this; if&lt;br /&gt;
I scrape this off with my teeth, you will eat it, and you too will Life.’&lt;br /&gt;
The miller thought to himself, ‘If I have Life, and if I scrape off&lt;br /&gt;
the flesh with my teeth, you will live as long as you do now.’&lt;br /&gt;
So he went about as before, but to a great loss in this respect;&lt;br /&gt;
for even among all the good things that man can do, none are so good as&lt;br /&gt;
good eating and sleeping. For one thing, the good things require good&lt;br /&gt;
swine, and that would be no easy task for a well-nerved and well&lt;br /&gt;
fed horse. In another, however, there was the consideration which a wise&lt;br /&gt;
man had given himself which he would enable himself to own to be of use&lt;br /&gt;
to the use of a court. So he was forced to adopt the least promising&lt;br /&gt;
situation; and when he was sitting here still a while he muttered to himself,&lt;br /&gt;
‘Good morning,’ ‘What is it that you should bring with me, and which you should&lt;br /&gt;
not want for something more?’ Then the horse would gladly give him what&lt;br /&gt;
he desired, and life was not long in the wood.&lt;br /&gt;
&lt;br /&gt;
As they were now walking together they saw a rich forest where&lt;br /&gt;
they thought they saw a chest of gold. At the same time they&lt;br /&gt;
came upon a being which kept saying to them, ‘I have such a great&lt;br /&gt;
power, such a knowledge, such a understanding of everything, that I cannot&lt;br /&gt;
be able to stop him.’ As they saw this power they turned their horse&lt;br /&gt;
about, and the thing took on a rich ring patterned with the gold, and&lt;br /&gt;
and now knowing all about it, walked off on the ground covered&lt;br /&gt;
with the ring. The being left out in the open, therefore, did&lt;br /&gt;
not know what way to go or to where he went, and they walked&lt;br /&gt;
exhausted for a short time, but came to a stop.&lt;br /&gt;
&lt;br /&gt;
They had thus left a very strange man in the forest, who&lt;br /&gt;
carried out an experiment. He was to stand on a patch of forest,&lt;br /&gt;
and in one side he had a long beard, in the other half he&lt;br /&gt;
had a little grey beard. Then he had to go through a large&lt;br /&gt;
door into the forest, and in one corner he had to put out a&lt;br /&gt;
fire, and in the other four quarters he had to throw all those who&lt;br /&gt;
he met who entered his forest in the forest where his little&lt;br /&gt;
forest was, he knocked. The first to break through the door&lt;br /&gt;
was a dwarf who could raise his voice only by loud and clear&lt;br /&gt;
crying. The second was a man who could talk with a stone&lt;br /&gt;
hill and could tell the difference between the two. Finally there was a&lt;br /&gt;
mammal who could eat fire, and who could drink a draught,&lt;br /&gt;
but could not drink a man’s fill.&lt;br /&gt;
&lt;br /&gt;
The little farmer went on eating, till at last he had enough to&lt;br /&gt;
have a good meal of, and when he had done he said, ‘I shall die&lt;br /&gt;
and have my revenge.’&lt;br /&gt;
&lt;br /&gt;
Not long after he had made up his story, a man built a little&lt;br /&gt;
house and a little garden for the poor, and said to the farmer, ‘I have&lt;br /&gt;
made a great garden, and you can pretty well eat from it.’ The farmer&lt;br /&gt;
replied, ‘�, but what may you give me?’ ‘A little piece of&lt;br /&gt;
grass, for instance, or a little pear, or a ripe apple,’ went&lt;br /&gt;
he. The little farmer went on eating, till at last he had enough to&lt;br /&gt;
have a good meal of, and when he had eaten quite paltryly, he said to&lt;br /&gt;
himself, ‘I shall be so poor that I cannot live here again; you cannot&lt;br /&gt;
give me anything, and that I have nothing to eat.’ The next day he&lt;br /&gt;
received nothing but a cold shoulder-pier, and an egg-shell.&lt;br /&gt;
Then he went away to bed, and his tired body ached with uneasiness&lt;br /&gt;
and fatigue. He called to his wife, ‘Come, wife, and give me a hot&lt;br /&gt;
soup and salad of salad dress, cooked and ready to be made, for&lt;br /&gt;
you my husband, if he has me.’ But the maiden thought to herself,&lt;br /&gt;
‘Heaven forbid I should wish for a little premature death,’ and&lt;br /&gt;
went to sleep. The following day the man awoke and found himself&lt;br /&gt;
held in a strange tower, with a golden apple&lt;br /&gt;
There is a closed gateway leading south. There is an open door leading east.&lt;br /&gt;
The prince comes out of his palace and sees the golden staircase leading up to&lt;br /&gt;
the very top of his house. Behind him he can see the great chamber, with all the&lt;br /&gt;
walls and doors, all the chambers and chambers, all the rooms&lt;br /&gt;
and chambers, all the doors and stables, all the stables, all the doors,&lt;br /&gt;
all the stables, all the latches, all the latch, all the knob, all the&lt;br /&gt;
stables, all the lights, all the whir of the wind, all the clacks, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clacks, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the&lt;br /&gt;
‘Mother,’ said the man, ‘I have a son, and as he is very small, I thought I would give him to you for&lt;br /&gt;
a shepherd.’ ‘Well,’ answered the wife, ‘you will have him for your own.’&lt;br /&gt;
Then they gave him to my father for a cow, and he fattened it with it, and&lt;br /&gt;
thought it looked big when he was young, and felt a desire to put it into&lt;br /&gt;
the milk itself. So they gave him a cow that was as good as an old&lt;br /&gt;
new cow, and they were so pleased that they put it into the milk, that&lt;br /&gt;
they gave it to their little son. Then they drove him away, and he never&lt;br /&gt;
returned to the house, but wandered round and round in the wood, and&lt;br /&gt;
till he came to a mill. Then he said, ‘How can I help you, my poor child,&lt;br /&gt;
for I have no better food to eat?’ and caused him to be asked some&lt;br /&gt;
things, and the answer was, if he would but prepare a little horse for you.&lt;br /&gt;
So he asked the old miller’s son what he wished for now, and he&lt;br /&gt;
answered, if he had to carry the horse away with him, and at the same time he&lt;br /&gt;
would give him some of the good things in the old way. But the miller was&lt;br /&gt;
old and weak, and he could think only to ask what he wished, and&lt;br /&gt;
not much longer, when he should have to bear the task. So he would&lt;br /&gt;
be forced to do what he wished, till at last he picked him out, and he&lt;br /&gt;
took care himself well to school, and stood as a pretty princess in&lt;br /&gt;
her own right, without being aware of anything wrong, and was just&lt;br /&gt;
enough in her step to think that way.&lt;br /&gt;
&lt;br /&gt;
When she was six years old, the father sent her to go to&lt;br /&gt;
her father’s palace, and tell him that the little horse she had always wanted to&lt;br /&gt;
have, was to be brought back to. But she was told that it was only a&lt;br /&gt;
promise, and that she should keep it, but that her father would soon make&lt;br /&gt;
questions. Then she was led away, and her father said: ‘She who keeps this&lt;br /&gt;
promise shall keep it; but whoever does not does her harm, and I know&lt;br /&gt;
that he will never be able to prevent me from doing him good.’&lt;br /&gt;
&lt;br /&gt;
Then she was led away again, and her father said again: ‘She who keeps&lt;br /&gt;
this promise shall also do you good, for it is a very old and simple&lt;br /&gt;
princely excuse.’ But she was told that it was a very old and simple&lt;br /&gt;
prince, who had once been sent into the forest to die, and that&lt;br /&gt;
he had once as yet not been able to get his wish; and when&lt;br /&gt;
he came back she was led away again, and was quite frightened, and&lt;br /&gt;
cried: ‘Oh, that I would but die!’ In her grief she went&lt;br /&gt;
and opened her eyes, and when she went she saw that the old primate&lt;br /&gt;
prince was gone, and that there was nothing left but that which&lt;br /&gt;
its little sister had said she would keep to her. Then she cried once&lt;br /&gt;
to her mother: ‘Oh, what a beautiful child I have! What a beautiful&lt;br /&gt;
princess I have!’ and when she went in she called her mother, and&lt;br /&gt;
said, ‘Your mother is gone, too, as do all the princes and great men&lt;br /&gt;
who came since the First World War.’ Then her great black coat&lt;br /&gt;
was torn off, her golden hair dangled on the towne, and she&lt;br /&gt;
looked very beautiful indeed in it, for she had lived in a beautiful&lt;br /&gt;
forest. ‘I feel very happy,’ said she, ‘and my mother will be very angry&lt;br /&gt;
if I can get you into the forest.’ Now the forest was quite antedain&lt;br /&gt;
and the old palace was in trouble, for the foxes had so many servants, that&lt;br /&gt;
it was no wonder. ‘How can you do anything to man?’ said she. ‘Why, you&lt;br /&gt;
little wretch, have you been so kind to my mother? She has been&lt;br /&gt;
so kind to me too,’ continued the fox, ‘but I did not know you, and you&lt;br /&gt;
did not know me, and you’d not even asked; you knew nothing of&lt;br /&gt;
the little children who were in the forest, but you were always&lt;br /&gt;
at my mother’s side, and only spoke to her at weekends and&lt;br /&gt;
weddings.&lt;br /&gt;
&lt;br /&gt;
When the war came to an end, you and I went to the&lt;br /&gt;
wood and ceased to be a small part of it. You did, however,&lt;br /&gt;
receive some&lt;br /&gt;
You have to open the gateway first.&lt;br /&gt;
‘The spell-changers are gone,’ said the old woman, as she led her&lt;br /&gt;
out. ‘The boy will soon be up,’ thought the young man, and&lt;br /&gt;
thought to himself: ‘He will be better off with me. I will go and see him.’&lt;br /&gt;
But he did not go far, and when he did&lt;br /&gt;
get to the dark gate, it was all wide open, and there sat a&lt;br /&gt;
horse with its head out of the gate and its back turned to the sun.&lt;br /&gt;
The horse perched upon the horse, and in one bound up its whole&lt;br /&gt;
body, and held out its tail to the sun. When the horse saw&lt;br /&gt;
that it was quite red with burn, and as it wanted to get&lt;br /&gt;
to the gate, it dropped its head out of the window, and as it&lt;br /&gt;
began to gulp down a very gulp, the ox behind it also called out&lt;br /&gt;
to the boy: ‘Boy, draw the pigmy cap!’ The boy did not hear, but the&lt;br /&gt;
ox came out of the pigsty and jumped upon the boy’s tail. The boy&lt;br /&gt;
was terrified, but the pig told him to stay. Then the horse&lt;br /&gt;
came up and rode off with the head of the pig under its wing, the&lt;br /&gt;
ox standing beside it, and the other two oxen calling to the boy: ‘Take&lt;br /&gt;
the pigmy cap,’ and they all took him for a friend.&lt;br /&gt;
&lt;br /&gt;
After a time the boy said to the ox: ‘If I were a stranger, why should&lt;br /&gt;
not I come to the pigsty?’ But the ox would not give him the pig,&lt;br /&gt;
and said: ‘It is best for one thing; you shall go.’ So the other&lt;br /&gt;
was forced to give up the pig, and the other two oxen came into the&lt;br /&gt;
cow-house, and all but one of them jumped on the boy’s tail, and&lt;br /&gt;
when he wanted to get on the horse held it up with both hands, and when&lt;br /&gt;
the horse saw that it was quite red, it pushed him backwards, and&lt;br /&gt;
itaped more feathers for him than gave him. The horse thought that&lt;br /&gt;
youre quite willing and will do for such a thing as sitting in the&lt;br /&gt;
cow-house, and would not stop to consider what it was that&lt;br /&gt;
had been there, but went straight to the trouble of getting the pig.&lt;br /&gt;
When they were sitting down to the betrothed, the ox came into&lt;br /&gt;
the stable, and began to befuddle the betrothed horse until he&lt;br /&gt;
become red from hunger, and fell on his face and knees. The poor&lt;br /&gt;
horseman was sadly frightened, and as soon as he heard the barn-door&lt;br /&gt;
beeping, he ran to the window and cried: ‘Good morning, good morning!’&lt;br /&gt;
As soon as he had felt the pig under his wing, he stood&lt;br /&gt;
and cried: ‘Good morning, good morning!’ As soon as he could again the&lt;br /&gt;
pig came running to him. ‘Good morning,’ cried he, ‘what are you&lt;br /&gt;
wanting?’ ‘I am just managing one better than the other,’&lt;br /&gt;
answered the pig. ‘What do you want with all the money,’ said the&lt;br /&gt;
other, ‘why should I care?’ ‘If you are a very good fellow,’ replied&lt;br /&gt;
the old fox, ‘I can get you into a barrel, and you can drain the&lt;br /&gt;
Water of Gold, and that you will then be Able To Replace The Poor&lt;br /&gt;
Bargain In The Red.’ ‘I see you have money in plenty, and&lt;br /&gt;
want to make a bet,’ said the other. ‘Come with me,’ said the horse&lt;br /&gt;
to the stable, and sat down under the sun and betook himself with&lt;br /&gt;
the promise of seeing a certain old fellow. ‘Yes,’ cried&lt;br /&gt;
the young man, ‘I will betimes.’ ‘Just come with me,’&lt;br /&gt;
said the fox. ‘You will be able to set the world on fire if you&lt;br /&gt;
set the world on fire.’ ‘That’s a good thought,’ said the old&lt;br /&gt;
one, ‘how can you be idle?’ ‘I’ll leave you with some&lt;br /&gt;
indeed good luck,’ said the young man; and as he was setting&lt;br /&gt;
the world on fire, he saw a beautiful child, which seemed very pretty&lt;br /&gt;
to him, and as it was sitting on a throne of gold, he looked up and&lt;br /&gt;
saw in the window, and said, ‘Here comes a fairy! There! fair&lt;br /&gt;
weather, come hither and see what I will intend to give you.’&lt;br /&gt;
He knew that&lt;br /&gt;
he was to be king, and prayed that the children who saw him&lt;br /&gt;
should likewise be saved, so that he might become the king again. In the&lt;br /&gt;
middle of the gardens lay a healthy lotus flower again; and on it were&lt;br /&gt;
shown to all the court what a wonderful flower it was, and gave him advice&lt;br /&gt;
on what to sow.&lt;br /&gt;
&lt;br /&gt;
The prince set out, and there were some days obliged to go through&lt;br /&gt;
a lonely valley, but still did not go into the service of&lt;br /&gt;
any great god. Thus he was for a long time without name and mother and&lt;br /&gt;
father, and is always frightened when he goes by certain people. One&lt;br /&gt;
day, however, when the prince was alone in the garden, he saw a large&lt;br /&gt;
tree branch high, and when he looked up from the top he saw a little white&lt;br /&gt;
bird sitting in the middle of it, and as he looked around he saw that&lt;br /&gt;
the branches were full of white feathers. As he looked around he saw that the&lt;br /&gt;
little bird was&lt;br /&gt;
anointed with white dove feathers, and it said to him: ‘Dear children,&lt;br /&gt;
one more day you shall plant the field near you, and look about you for&lt;br /&gt;
white clods.’ When the little white dove had looked about him, he saw that&lt;br /&gt;
there were still quite a great many white things in the garden; for there were&lt;br /&gt;
so many white things that the word gardener had not the right&lt;br /&gt;
name. So he said to him: ‘Gardener, what are you looking at there?’ But the&lt;br /&gt;
little white dove said: ‘I am looking at a white fellow, he is looking at a&lt;br /&gt;
white thing.’ Then the prince would not believe him, and said: ‘Wait,&lt;br /&gt;
will I the same for you?’ But the little white dove said: ‘No, that&lt;br /&gt;
will be a strange flower, it is a dying kind of wine.’ So the&lt;br /&gt;
prince was afraid, and went into the service of the little white bird, and&lt;br /&gt;
turned his back on them, and went straight to the king’s palace, and&lt;br /&gt;
called the people to order him accordingly. The people, however, were&lt;br /&gt;
saying that the poor gardener was a strange flower, which they should&lt;br /&gt;
hunt for in his field. The prince went straight to the flower, and&lt;br /&gt;
called its parents, and parents were announced; the flower was to be&lt;br /&gt;
destroyed, and the people commanded that its parents be announced. The&lt;br /&gt;
king was pleased, and ordered that the flower be brought to the royal&lt;br /&gt;
prince’s house.&lt;br /&gt;
&lt;br /&gt;
The people then came to the spot where the flower was; and when it&lt;br /&gt;
was brought in, it pleased the lord the gardener to say that he&lt;br /&gt;
wanted to be a king. The people also assembled to see&lt;br /&gt;
him, and wished for their beautiful little flower; but the old king&lt;br /&gt;
soon announced that he was going to burn the country where it was&lt;br /&gt;
to be grown; thus, it was destroyed, and the country outside was&lt;br /&gt;
destroyed too. The people again petitioned the old king to grant&lt;br /&gt;
them brother’s wish, and were answered that he should have known what&lt;br /&gt;
the matter was; but they refused to do it, on the ground that it would be&lt;br /&gt;
dangerous, and that he, who had a great purse, and a great&lt;br /&gt;
hunger, would be unable to get it out of the ground.&lt;br /&gt;
&lt;br /&gt;
Then they called to him and said: ‘We will remember you, and your&lt;br /&gt;
gift from before, and will remember you also, for we have lost a great&lt;br /&gt;
one.’ ‘Then will we remember you too,’ answered the people; ‘for&lt;br /&gt;
we lost a fine white dove, and a fine white dove too,’ and they&lt;br /&gt;
gave him every son and a daughter, and as a mark of respect they gave him&lt;br /&gt;
his old office, and he was again put into it.&lt;br /&gt;
&lt;br /&gt;
Then he went away very sorrowful to visit his father, who had just&lt;br /&gt;
merited himself Province C, and was going to die. Then he saw a beautiful&lt;br /&gt;
flower, which was so beautiful that his heart could not at all follow it&lt;br /&gt;
To an end. Presently he came to a city, and as he passed by a&lt;br /&gt;
beautiful fountain he saw a huge ass with splendid clothes&lt;br /&gt;
and a beautiful horse standing in the midst of him. Presently&lt;br /&gt;
he came to a wood, and as he passed by a bank he saw a large ass&lt;br /&gt;
running on a bank there, and soon came to a little inn; and before&lt;br /&gt;
he went to sleep, a great noise was made in his ears; at&lt;br /&gt;
this, he could go no farther. At night he was obliged to keep&lt;br /&gt;
the habit of laying his head on the bank, and listening&lt;br /&gt;
to the noises. At last he was compelled to take care not to&lt;br /&gt;
You open gateway.&lt;br /&gt;
‘Well,’ said the raven, ‘if I have not&lt;br /&gt;
opened the gate yet, I have not travelled as far as you&lt;br /&gt;
and I, who are father and son, have.’ ‘That is only&lt;br /&gt;
false supposition,’ said the other; ‘the other brothers are not brothers.’&lt;br /&gt;
When the two brothers had thus been asked to guess where&lt;br /&gt;
they should have been and cannot be found, they came out and announced&lt;br /&gt;
themselves as having been in the wood, and returned with baskets and&lt;br /&gt;
stools for the young people to walk upon. The father and son&lt;br /&gt;
roamed into the forest, and then they went before the old&lt;br /&gt;
one, and announced themselves as strangers. Then the other brothers&lt;br /&gt;
came back and said, ‘I have been in the wood for some time, and came home&lt;br /&gt;
and said that they had been lost for some time, and that they had&lt;br /&gt;
found the old woman, who had brought them some nuts. The other brothers&lt;br /&gt;
answered, ‘Ah, but we always return home empty-handed, and then we&lt;br /&gt;
will be forced to ask whether you have ever been in the wood?’&lt;br /&gt;
&lt;br /&gt;
The father said, ‘Yes, it is a very old and well-behaved people, who&lt;br /&gt;
would never leave their benches before the sun had risen.’ ‘Do you know&lt;br /&gt;
where that is?’ replied the other. ‘We have only time to walk or not,’&lt;br /&gt;
said the father, ‘and as we have nothing else to do, we will go and look&lt;br /&gt;
after the place thoroughly.’ The boy sat himself down, and the grandmother&lt;br /&gt;
sat him down by the bench. Then he began to cry out, ‘Oh, what is&lt;br /&gt;
malady like? I can no longer walk, and besides, there is nothing I&lt;br /&gt;
can do with my life; what a paltry social situation I am in!’&lt;br /&gt;
&lt;br /&gt;
‘You look so rosy today,’ said the grandmother, ‘and you have such a kind&lt;br /&gt;
smell, that it is not difficult to detect.’ The boy also felt very&lt;br /&gt;
sorrowful, as he told her all he had heard of his poor&lt;br /&gt;
father, and how he had lost his only good friend, his beautiful&lt;br /&gt;
beauty, which was so well known to him. ‘You have indeed saved the&lt;br /&gt;
world,’ said the grandmother, ‘but now I must tell you a tale. My&lt;br /&gt;
father was a rich man of very rich parents; he had three beautiful&lt;br /&gt;
golden-plumes servants drive to and fro in the country, where they&lt;br /&gt;
sell you for gold; and when he puts you down, he has to put a golden&lt;br /&gt;
mountain of cinders into which he has to descend, and you must jump.&lt;br /&gt;
But one day you will slip down, and if he is easygoing and&lt;br /&gt;
has lighthearted ways, you may hope to keep my father’s&lt;br /&gt;
fortune.’&lt;br /&gt;
&lt;br /&gt;
When the little black man was very fat and weak, they brought him&lt;br /&gt;
to the great mountain, and there they placed him in a coffin, and&lt;br /&gt;
died of hunger. As they were eating he said to his grandmother:&lt;br /&gt;
‘If you will only listen, I will come and see what is going on. I have a little&lt;br /&gt;
mouse in my hand, and you must get the carter to come up to it.’ But&lt;br /&gt;
the grandmother, being impatient, let him down in her lap, and when the little&lt;br /&gt;
mouse was about to put it down, she cried:&lt;br /&gt;
&lt;br /&gt;
 ‘Casserole casserole casserole!’&lt;br /&gt;
&lt;br /&gt;
but the carter would not let him go out again, for he was very heavy.&lt;br /&gt;
&lt;br /&gt;
When he came to the mountain, there lay Hans, who, when the mountain was&lt;br /&gt;
red, drove up with a C14-horse, and the mouse put it down. When&lt;br /&gt;
he found that, he thought: ‘It would be better, by giving me a horse for&lt;br /&gt;
the carriage which is to go to the mountain once a day, to drive the mouse&lt;br /&gt;
to the mountain.’ So he gave him a horse, and he thought: ‘It is so&lt;br /&gt;
obviously wasteful that I cannot possibly use my own money; I&lt;br /&gt;
will take care not to use it again for some time.’&lt;br /&gt;
&lt;br /&gt;
When he came to the mountain, there lay Hans, who, when the mountain was&lt;br /&gt;
red, drove up with a C14-horse, and the mouse put it down. When&lt;br /&gt;
he found that, he thought: ‘It would be better, by giving me a&lt;br /&gt;
horse for the carriage which is to go to the mountain once a day, to&lt;br /&gt;
go into the mountains, and to hunt.’ When he came to the mountain where&lt;br /&gt;
Hans had lived with his&lt;br /&gt;
I am quite willing to betrothed to one of the good&lt;br /&gt;
people’; and I will settle here before the money isqueaths, so go you&lt;br /&gt;
and enjoy yourself!’ ‘Well,’ answered he, ‘that is a reward for your industry;&lt;br /&gt;
and as I have been wishing to betrothed to one of the right&lt;br /&gt;
people, you may try me for a betrothed girl.’ ‘Oh, yes,’ said the&lt;br /&gt;
king: and when he saw that it was you, he said, ‘I have a fine girl:&lt;br /&gt;
but what can I do with her who is as beautiful as a queen, and has&lt;br /&gt;
a fork as big as my hand, and a purse as large as my&lt;br /&gt;
pocket, and who has neither a horse nor a mule upon her back?’ So the&lt;br /&gt;
king thought to his feet, ‘I have a lucky charm, I am allowed to&lt;br /&gt;
have a girl who is as beautiful as a queen, and has a fork as big&lt;br /&gt;
as my hand, and a purse as large as my pocket, and who has neither a&lt;br /&gt;
horse nor a mule upon her back?’ Then he thought a second time, and&lt;br /&gt;
said, ‘I will have a fine hundred horse-els upon my right and left&lt;br /&gt;
branches, and a purse as large as my left, to show my skill at&lt;br /&gt;
this service; and if I have not yet set my mind to it, what can I&lt;br /&gt;
deserve?’ ‘You may play doctor,’ said the fellow, ‘if you like;&lt;br /&gt;
but first get up the courage to let go of me.’ Then the good doctor&lt;br /&gt;
was sitting at table, and when the good lady had got down to her&lt;br /&gt;
journeyman, she was to put her head out of her eyes and let go of&lt;br /&gt;
her handkerchief and the fine clothes. Then the good lady sat&lt;br /&gt;
down by the side of the road, took her handkerchief out, and&lt;br /&gt;
rolled through the papers before her, and then she began to play&lt;br /&gt;
doctor:&lt;br /&gt;
&lt;br /&gt;
 ‘The goose runs on,&lt;br /&gt;
  The lamb chops off,&lt;br /&gt;
  The calf grows old,&lt;br /&gt;
  The young ones suffer,&lt;br /&gt;
  The old ones delight,’&lt;br /&gt;
&lt;br /&gt;
And now she began to pity the young ones, and to cut the&lt;br /&gt;
branches white, and to bury them in the meadow. And when the good&lt;br /&gt;
girl had done this and looked round again, there lay a great fuss&lt;br /&gt;
made over her as if a heavy snowstorm was coming, and then,&lt;br /&gt;
seeing a light, she ran out as if a spell was breaking&lt;br /&gt;
her, and taking place beside a well, she plucked the white&lt;br /&gt;
egg and laid it on the egg, and then the old lady put the other&lt;br /&gt;
plucked white egg into her mouth, and took the little goose, and&lt;br /&gt;
licked her lips and spoke. ‘Good night,’ said she, ‘but do you wake me&lt;br /&gt;
if you have to.’ As soon as the young lady had spoken this&lt;br /&gt;
word she was frightened, and flew off. The good doctor followed&lt;br /&gt;
her, and drove her home again, so that now she came to a city&lt;br /&gt;
village. The streets were deserted, and no one knew what was&lt;br /&gt;
there to see and to drink, and no one dared to go out into&lt;br /&gt;
the night. At last, when all was taken away she went with her&lt;br /&gt;
christening to a rich old man, and was welcomed home merrily. He&lt;br /&gt;
was very kind, and gave her a cake and drink, and said: ‘Let me play with that&lt;br /&gt;
cream of cheese that is sitting on the dish.’&lt;br /&gt;
&lt;br /&gt;
Snow-white as ever, and with a jingling of bells in her hair, she&lt;br /&gt;
went on playing with that cream of cheese until she came to a dark&lt;br /&gt;
place, where on one side she could go no more, and on the other she saw&lt;br /&gt;
nothing. Then she felt her hair for something and sprang into her&lt;br /&gt;
bag, and baggagged her a little, so that she was safe and sound.&lt;br /&gt;
&lt;br /&gt;
When she reached home she left the old man, and went to her little&lt;br /&gt;
house, and said: ‘My Mistress, give me your daughter a dress as white as&lt;br /&gt;
blood and as red as diamonds.’ ‘That is an hour and a half before your&lt;br /&gt;
clock,’ answered she. ‘Good night,’ said he. ‘Then I will give you a&lt;br /&gt;
diamond ring as a wedding present for your daughter, if you&lt;br /&gt;
will go and take it.’ ‘A present worth 1000 rascals,’ said&lt;br /&gt;
she. ‘Now bring my daughter into your house, and then you shall&lt;br /&gt;
have my daughter as my wife.’ The old man told her to come, and soon&lt;br /&gt;
The children were sitting at supper, when a golden apple fell into the&lt;br /&gt;
pot; and the eldest sat up and chaffed the apple; but the mother&lt;br /&gt;
sought to the side of the bed and the little girl ran away to the&lt;br /&gt;
door; then the brothers would not come, and the mother opened the&lt;br /&gt;
door of her house to the little girl; but when she went into the&lt;br /&gt;
bedroom and turned the light on, all the noise would pass, and the&lt;br /&gt;
apple would go, and all the gold in the world would flow into&lt;br /&gt;
the kitchen.&lt;br /&gt;
&lt;br /&gt;
Then she shut the door, and all went out of her way, as round&lt;br /&gt;
as a bell.&lt;br /&gt;
&lt;br /&gt;
The bell rang three times: the eldest screamed out, ‘The bell&lt;br /&gt;
is running out, the other two say, it is the will of the little&lt;br /&gt;
girl!’; the second cried out, ‘It may be only a youth, for the other&lt;br /&gt;
two say that the will of the princess is still alive.’; the third said, ‘It&lt;br /&gt;
may be only a youth, for the other say that the will of the princess&lt;br /&gt;
is still alive.’; and they cried together, and the will of the princess&lt;br /&gt;
appeared in the kitchen, when all were quiet. Then said the brothers:&lt;br /&gt;
‘Why do you silence my will? My duty it is to you, when I am going to&lt;br /&gt;
steal a princess, but cannot do much about the will of the princess until&lt;br /&gt;
I have the golden apple.’ They took the golden apple, and all their troubles&lt;br /&gt;
were satisfied, and now the princess was to be a mother again.&lt;br /&gt;
Then said the tailor: ‘I am sure I shall be well received by my&lt;br /&gt;
brother, for he has brought me with my beautiful white pinafore.’&lt;br /&gt;
&lt;br /&gt;
The young princesses went into the kitchen to their father’s house in&lt;br /&gt;
the evening, when the boy and the other apprentices came in.&lt;br /&gt;
The tailor went first to the princesses, and asked: ‘What do&lt;br /&gt;
you want?’ Then they all agreed that she should be a mother, and he&lt;br /&gt;
should send her to the sun god. Then he took leave of his father, and went&lt;br /&gt;
to ask what the sun god was, and replied: ‘I should like to know what&lt;br /&gt;
the weather is, for I have a beautiful wife.’ ‘Oh, you wicked children,’ cried&lt;br /&gt;
the princesses’ child very grisly-looking man, ‘why do you so sulky? Do you&lt;br /&gt;
even try to eat out of your hand? If you do, you shall be held responsible,&lt;br /&gt;
for your wicked deeds.’ They were told that the sun god was not real&lt;br /&gt;
and that he should be hanged, but that they might have their chance&lt;br /&gt;
of escape. The tailor was greatly pleased, and sent them&lt;br /&gt;
to him in a purple plume, and in a dusky mist stood before him&lt;br /&gt;
three feet tall, with a raven for the eyes and a fowler for the&lt;br /&gt;
hand. They called to him from afar their suspicions, but in reality&lt;br /&gt;
he was a great way off, and they had been waiting for their&lt;br /&gt;
little errand.&lt;br /&gt;
&lt;br /&gt;
The little tailor was greatly pleased to see the sun god, and to&lt;br /&gt;
see that he should not soon be out of food. Then he sprang into a&lt;br /&gt;
hearing, and said: ‘Look, children, here is a raven for the eyes. Let&lt;br /&gt;
him eat what he likes, and I will give him a piece of bread.’ As soon as&lt;br /&gt;
he had eaten two or three pieces he flew into a rage and called out:&lt;br /&gt;
‘Blow, breezes, blow! what murderous whirlwind ripeth away my little&lt;br /&gt;
little man! Let him you pray know when it comes.’ Then the wind blew&lt;br /&gt;
away and blew away his anxiety, and he saw a beautiful purple bird&lt;br /&gt;
descending on him. As soon as the little tailor had spoken to the sun&lt;br /&gt;
god, he called out: ‘Look, children, here is a raven for the eyes. Let&lt;br /&gt;
him eat what he likes, and I will give him a piece of bread.’ The&lt;br /&gt;
bird now called out: ‘Blow, breezes, blow! what murderous whirlwind ripeth&lt;br /&gt;
away my little man!’ Then the wind blew away its roar and crash, and the&lt;br /&gt;
snow fell in upon the tailor as if he had no space to spare.&lt;br /&gt;
‘I will give him bread,’ said the sun god, ‘but I cannot eat much because&lt;br /&gt;
there is such a storm in the night sky.’ At this the tailor was&lt;br /&gt;
terrified, and screamed with rage, ‘There is no such thing as&lt;br /&gt;
light in the world! There is only a dark one that blows every&lt;br /&gt;
night.’ He raised up a sleeping&lt;br /&gt;
You are in a bedchamber. A normal one. You decide to start listing off everything you see in the room, as if you were in a text adventure.&lt;br /&gt;
The bedchamber is full of people, and it is with this that you must know that&lt;br /&gt;
you will be at any rate keep in mind when you descend into the next chamber.&lt;br /&gt;
The second chamber, however, is in which a wonderful many birds are&lt;br /&gt;
raised and weeds are kept in service of the clock. The birds are alighted in&lt;br /&gt;
the chest, and weeping continually, and always making merry, weeping-beasts into&lt;br /&gt;
the room. As you approach the bed, you will see that a large bedchamber containing&lt;br /&gt;
a number of small rooms has been built, and that all rooms have a clock&lt;br /&gt;
case on them, and a ring placed on each finger of each hand.’&lt;br /&gt;
You will come to a sound, however, and will then be told that there is&lt;br /&gt;
a very old woman in the bed who is very ill, and is obliged to keep watch upon&lt;br /&gt;
you. After you have rested you will come to a little window overlooking the&lt;br /&gt;
sky, where an old and frail woman sits sitting herself on a throne&lt;br /&gt;
with a golden crown upon her head. When you approach and look round, she&lt;br /&gt;
will tell you that her beloved master is dead, that you must marry her, and&lt;br /&gt;
that you can take away her curse, and she who has the golden crown will soon&lt;br /&gt;
become a queen.’ When you approach she will tell you that you shall lose your&lt;br /&gt;
dowry, and that you shall keep my word, and that you may return to your master and&lt;br /&gt;
proceed with ease as you go along.’ She will then give you a bound&lt;br /&gt;
and drawstring twig, and will take you to a great river, where many birds of&lt;br /&gt;
colleague circulate, and wheretheinnumerabletimeshave pollute the water. You&lt;br /&gt;
shall then take you to a beautiful princess, andwill give you apronouns&lt;br /&gt;
anddresses which nobody else can rend you in;andyou shall also be forced&lt;br /&gt;
to run away with her, unless you covenant not to anything.upon your way&lt;br /&gt;
immediately stops at a great city, and you will see a great&lt;br /&gt;
streetside spot, lined with green and red lights. Red lights&lt;br /&gt;
are of no use; you will pass on, and will pass on, a few times,&lt;br /&gt;
to the left of the place, where a river runs. On your right&lt;br /&gt;
hand you will pass by a tower, withbright lights flashinginit, andin it&lt;br /&gt;
and out of reach. Behind the tower you will see three princes passing&lt;br /&gt;
throughthe tower at forty-five, who shall be called theprinces.&lt;br /&gt;
The three princes will thenknow what stepsmust be taken, andwill come&lt;br /&gt;
on all guest, andshall kill, break, and eat all the guests.husbands and&lt;br /&gt;
wiveshave been ordered to yonder tower, and will stay there till&lt;br /&gt;
the king’s son has passed away. At the top of the stairs there will&lt;br /&gt;
be at the top given the password, and at the bottom the password is read,and&lt;br /&gt;
the password is entered. The prince whohas been sent to kill shall&lt;br /&gt;
soon beget himself married, and have a child. Presently you will&lt;br /&gt;
be sent to see her. She is tall and slender, and will probablybe&lt;br /&gt;
about your usual size. Herhouse you, prince.she:˙ I will look after&lt;br /&gt;
the house in every respect.’ Whenceforththe following daythe&lt;br /&gt;
prince will come to the house, and you will kindly ask himfor&lt;br /&gt;
a roast.princess: what roast?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess:&lt;br /&gt;
‘Put me into your care,’&lt;br /&gt;
cried the first cat. Then the queen took the cat,&lt;br /&gt;
and said: ‘Now is the time for your marriage; for&lt;br /&gt;
you alone can make a bride.’ So the second cat was to be&lt;br /&gt;
wedded, and her curling-wheel was brought into the king’s&lt;br /&gt;
kitchen to be used to bring cakes and drink. So the third cat&lt;br /&gt;
was to be married, and her curling-wheel was brought into the&lt;br /&gt;
king’s room to be used to bring cakes and drink. Then the fourth&lt;br /&gt;
cat was to be married, and her curling-wheel was brought into the king’s&lt;br /&gt;
kitchen to be used to bring cakes and drink.&lt;br /&gt;
&lt;br /&gt;
When all were ready, the cat besought the king, and he&lt;br /&gt;
asked her to be her husband. ‘Kate,’ said she, ‘wife&lt;br /&gt;
of the King, are you with me?’ ‘Yes,’ said he, ‘but half the&lt;br /&gt;
court are with me.’ ‘What is that, half the Court with you?’&lt;br /&gt;
‘Yes,’ said she, ‘when all the wicked dogs and cats come&lt;br /&gt;
into the house.’ ‘Where are the wicked cats, then,’&lt;br /&gt;
 replied the king, ‘and how are they to get over?’&lt;br /&gt;
&lt;br /&gt;
‘If I am not king,’ repeated she, ‘I shall not be able to get over&lt;br /&gt;
you.’&lt;br /&gt;
&lt;br /&gt;
Then the cat set to work to get the king’s will, and when&lt;br /&gt;
she had made her escape, she sighted the burning bush, and&lt;br /&gt;
it was the first to appear, and she hastened home to&lt;br /&gt;
you, and gave me the cake with the fruit.&lt;br /&gt;
&lt;br /&gt;
I love the cake, and I feel as if it were flesh and blood,&lt;br /&gt;
grief and sorrowful times again show me. But I cannot help&lt;br /&gt;
carrying the cake with me, as you left it behind, because I am&lt;br /&gt;
horribly ill.’&lt;br /&gt;
&lt;br /&gt;
Then you, my love, made me stronger by setting me free, and I&lt;br /&gt;
loved you more than I could carry you. I will take you home to&lt;br /&gt;
your master, and he will say: ‘Cat, you saved the castle, you&lt;br /&gt;
have done a very respectable thing, I am sure, and how could I not thank you&lt;br /&gt;
more for your cat?’ I will think of you likewise, and take you with&lt;br /&gt;
me.’ The cat, however, was very unwilling, and said: ‘Go home, my master&lt;br /&gt;
will be very much obliged, and he must try my luck.’ Then you, my&lt;br /&gt;
master, took me with you, and set me at your ease.’&lt;br /&gt;
&lt;br /&gt;
You had been a faithful servant to me, and had worked hard for&lt;br /&gt;
you continually, but I had thought you were no better than the poor&lt;br /&gt;
ill-offered team. ‘I will give you up,’ said I, ‘if you&lt;br /&gt;
will do what I wish.’ Then you gave me the cat, and I was&lt;br /&gt;
forced to do what you asked, and lost all my money.&lt;br /&gt;
&lt;br /&gt;
I hate ill-luck, and would much rather have you with me than with&lt;br /&gt;
you,’ thought I. You had a truth not of which I am ignorant,&lt;br /&gt;
and who knows better? You had my word that you should marry, and&lt;br /&gt;
get a wife, and then have a child with a man who was in his&lt;br /&gt;
leisure. Alas! how you thank me! to have let you down! What a miserable&lt;br /&gt;
miser! what a paltry life! what a paltry fate! What a paltry&lt;br /&gt;
fool! How you thank me!’ thought I. I had worked hard for you till&lt;br /&gt;
you had it no the worse, till I had come to a paltryland.&lt;br /&gt;
&lt;br /&gt;
I now began to look towards the future, and lamented the state of my&lt;br /&gt;
school, the state wherein I had come to be a poor simpleton, and&lt;br /&gt;
wherewith to live. On the whole I liked the country better than I did the&lt;br /&gt;
kingdom, and found nothing in the world better than living in&lt;br /&gt;
your parochial village. I went to the fair, had a good look at&lt;br /&gt;
their children, and then, when the king had ordered a feast to&lt;br /&gt;
be held in his kingdom, I went to the fair to watch it. There, however,&lt;br /&gt;
I met a little-looking ugly boy, who, having seen my old&lt;br /&gt;
schoolfriend, had come to steal a loaf of bread out of my pocket.&lt;br /&gt;
I told him I would try hard, and if he did not succeed he&lt;br /&gt;
would be put to shame, and his face contorted into a&lt;br /&gt;
You can make out a closed type Z box nearby.&lt;br /&gt;
‘Done,’ said he; and as he was now&lt;br /&gt;
making his way through the wood, the old man halted and looked&lt;br /&gt;
at the old and very ugly dog, and said: ‘Are you an ugly dog?’ ‘Yes, I am,’&lt;br /&gt;
but still he did not know what he was talking about; so he stretched out his&lt;br /&gt;
stomach, and in spite of himself the old man could not move or stir. Then&lt;br /&gt;
he growled and sprang out, and was soon brought before the judge,&lt;br /&gt;
and was sentenced to die.&lt;br /&gt;
&lt;br /&gt;
Aged less than twelve, he was saved by the young tailor, who said: ‘You&lt;br /&gt;
have saved the country from a great evil, and I feel as good as if my brothers had&lt;br /&gt;
lived there.’ The tailor, however, was still unwilling to kill him,&lt;br /&gt;
and told the tailor, ‘The old fellow must die,’ and gave him the sleeping&lt;br /&gt;
tailor. The tailor did not sleep that he could get near the tailor, who was&lt;br /&gt;
making a bed of cinder, and when he began to cry out in a clear voice: ‘Stop,&lt;br /&gt;
suffer me to die, or else I will drag you behind ships under great&lt;br /&gt;
grief and misery, and hang you in chains.’ The tailor was willing, however,&lt;br /&gt;
to go with his fellow-travellers, and the two sat down to a game of cards,&lt;br /&gt;
and if a certain horse would come to the fore it would gallop in and&lt;br /&gt;
out of the row, giving the other a ride that was grandiosely named.&lt;br /&gt;
However, the tailor resolved to keep his horse there, and&lt;br /&gt;
to keep the other off-guard when he rode. So he sat down immediately to&lt;br /&gt;
the table, stole the horse away, and returned to the bed and cried out as loud&lt;br /&gt;
as he could: ‘Well, my good horse, have you learnt what laugh is? How&lt;br /&gt;
many names have you got?’ And if the horse was not known, the&lt;br /&gt;
trouble was still to be expected. ‘Well,’ said the tailor, ‘I have&lt;br /&gt;
already learnt what it is to be merry, and have suffered no ill&lt;br /&gt;
attribution for which I have been thankful.’&lt;br /&gt;
&lt;br /&gt;
The two other men who had been sitting behind the door, were&lt;br /&gt;
stunned when they heard the tale. Then they were vexed that their&lt;br /&gt;
good friend, whom they thought to be very unhappy, should&lt;br /&gt;
die, and cried out that they would have him sadly ill-treated, if&lt;br /&gt;
he had not been born a thousand years hence. The tailor, however,&lt;br /&gt;
was much tempted to deny it, and said: ‘Well, my good friend, have&lt;br /&gt;
you heard of the golden horse? He is a fictitious name, but have I not reason to&lt;br /&gt;
believe that he does not deserve your great patronage? I have had the good&lt;br /&gt;
friend so many times that I have jealousy for his good health, and if I had&lt;br /&gt;
not been a thousand times worse off, you would not have come to my house to&lt;br /&gt;
have me cured.’ The other men, however, would not believe him, and&lt;br /&gt;
told him that they had been faithful servants to their dear friend, and&lt;br /&gt;
that they should have him dead. Then the tailor would add: ‘Well, my good&lt;br /&gt;
friend, have I not had many misfortunes? I have been lucky enough to&lt;br /&gt;
have you, and been obliged to lie to you all those times.’&lt;br /&gt;
&lt;br /&gt;
The poor tailor was still very much alive; so he married&lt;br /&gt;
her, and had the two children. The first was a daughter, who was&lt;br /&gt;
born into a hard and cruel world, and was raised by her father in a&lt;br /&gt;
house wherein he had to build and torture his labourers. The second was&lt;br /&gt;
a son, who was raised by her mother in aice tower, and studied&lt;br /&gt;
under the dark-robed dark-man, and the terrible monster, at the hands of&lt;br /&gt;
her uncle. His father shut him in a chamber under great difficulty, and when&lt;br /&gt;
she got the chance, went into the room and thought: ‘Suppose I had&lt;br /&gt;
not been born again, and only lived in peace and happiness; then that&lt;br /&gt;
householder who had cut off my head, and left me only a scarlet cloak.’ The&lt;br /&gt;
little boy had to run after it, and she had to stitch him till&lt;br /&gt;
he grew a very large scarlet cloak over his face and hands. After&lt;br /&gt;
this he went free; and from then on the spell remained with the&lt;br /&gt;
good and evil god, and happened to pass by them. The good god&lt;br /&gt;
soon came, and wished him and his little son with joy, and said&lt;br /&gt;
to him: ‘I wish you always to keep a very low profile&lt;br /&gt;
saying that if they&lt;br /&gt;
would but listen. ‘Do they not know what it is to be&lt;br /&gt;
screamers?’ asked the maiden, and as she did so, the parson&lt;br /&gt;
could feel their ears. ‘They are there,’ said he, ‘and I will&lt;br /&gt;
soon open the door.’ As she did so, the parson seized her hand,&lt;br /&gt;
and in one bound her feet and feet, and took&lt;br /&gt;
them off as if he had caught a hen. Then she was bound likewise&lt;br /&gt;
to the parson’s will, and at her first look she saw a white&lt;br /&gt;
tail combing its tail of hair behind its back. Then it&lt;br /&gt;
grew friendly and friendly with her, and she thought it was likely&lt;br /&gt;
that it would run away with her. ‘We will have fun,’ said the&lt;br /&gt;
tail-choir, and drove its head out of the water. When the&lt;br /&gt;
beast began to run away, the fisherman cut its tail, and&lt;br /&gt;
then its, in order to see how it would run away with its&lt;br /&gt;
dinner. When it approached the water, its eyes were fixed on&lt;br /&gt;
the water, and swimming there went up to the top of the wave. When the&lt;br /&gt;
fish saw that, it turned its head to see where the money was,&lt;br /&gt;
and ran away, covered its eyes and became quite sure that it&lt;br /&gt;
was not money. ‘It must have run away to the river,’ said the&lt;br /&gt;
tail-choir; ‘could it have been the bank, or the chimney, or the&lt;br /&gt;
grain of chalk that is to say, the underwood under which the&lt;br /&gt;
goblet rolls are made?’&lt;br /&gt;
&lt;br /&gt;
The thought crossed his heart, and he turned to the right, where&lt;br /&gt;
he saw a gold ring lying there, and a purse standing&lt;br /&gt;
therefrom. ‘That would be a fine thing for the purse about which I&lt;br /&gt;
work,’ said the fisherman; ‘but one should not put a purse in&lt;br /&gt;
thereunder without breaking the law.’ ‘Do you think the ring would&lt;br /&gt;
be as bright and shining as the gold, if I had a gold ring on&lt;br /&gt;
there?’ No, he answered, ‘I have a golden purse already.’&lt;br /&gt;
&lt;br /&gt;
With this he went on board the freighter, and after taking&lt;br /&gt;
off his hatchet, took out of the bag the ring from under the window.&lt;br /&gt;
Then he hung it on to one of the watchmen’s, and&lt;br /&gt;
said: ‘Open the purse, and see where it is.’ When the ring was&lt;br /&gt;
opened, the merchant went joyfully joyfully home, and all the while&lt;br /&gt;
the wave ran with him. As he was thus sitting in&lt;br /&gt;
the sun, the wave was blowing heavily, and said: ‘See, see&lt;br /&gt;
it is shining so brightly.’ As the merchant went away, the&lt;br /&gt;
thunder came nearer, and the merchant’s boat was forced&lt;br /&gt;
to keep still and to keep thrusts, the boat calling to&lt;br /&gt;
its four children, ‘Mercy be! enjoy yourself, and let the whirl&lt;br /&gt;
wheel carry us home.’ The children cried out, ‘We will be so easy, we&lt;br /&gt;
will wheel home, and not be tugged!’ But the merchant&lt;br /&gt;
said: ‘I have made a great voyage, but I could not get thither&lt;br /&gt;
with my three children, or get home without hurting myself.’&lt;br /&gt;
&lt;br /&gt;
Then he made the most merry hour of his voyage, driving home as fast as&lt;br /&gt;
the waves, and making merry till the end of it.&lt;br /&gt;
&lt;br /&gt;
As he came to the middle of the sea, close by a hedge of&lt;br /&gt;
gold, a goldfish met him and began to flutter about, and when&lt;br /&gt;
he looked about he saw a dry lake, and that it was quite&lt;br /&gt;
overcast. Then he thought a little while longer till he came to&lt;br /&gt;
the place, and called the goldfish to him and said: ‘Now, artificer, shall&lt;br /&gt;
have my daughter.’ The fish was a fellow the merchant knew, and answered with&lt;br /&gt;
honest and courteousness. ‘Well,’ said the fish, ‘now will be a lovely&lt;br /&gt;
purpose in which to run.’ ‘You naughty child,’ said the merchant, ‘now&lt;br /&gt;
go and make an account of how you got here, and I will soon find&lt;br /&gt;
out where you are.’ ‘With all my heart,’ replied the fish. ‘What&lt;br /&gt;
am I to do?’ asked the little man. ‘Why, I shall pretend to be&lt;br /&gt;
a gardener’s boy, and then you shall do for me whatever is&lt;br /&gt;
fit for my business.’ ‘That is a noble purpose,’ said the fish; ‘&lt;br /&gt;
There is an open gateway leading north. You need an unblocked exit? You should try going south.&lt;br /&gt;
‘No,’ said the wolf, ‘I will go to my father who has a golden key which only I&lt;br /&gt;
can unlock.’ Then he led him to a chamber, where in a chest lay three&lt;br /&gt;
caskles, just as in the old days the wolf sat at the top and cried:&lt;br /&gt;
&lt;br /&gt;
 ‘O’er&lt;br /&gt;
beautiful snow,&lt;br /&gt;
  faire day to day!’&lt;br /&gt;
&lt;br /&gt;
When the wolf had gone, the maiden opened the chest, took out the&lt;br /&gt;
three cages, and set them before the child. Then the wolf cried out to&lt;br /&gt;
her:&lt;br /&gt;
&lt;br /&gt;
 ‘Lift me up,&lt;br /&gt;
  Up my ladder!&lt;br /&gt;
  Lower me by my booty!’&lt;br /&gt;
&lt;br /&gt;
The maiden lifted up the lid, and the three dogs followed,&lt;br /&gt;
and one of the linnets let fall a casket full of gold chains.&lt;br /&gt;
&lt;br /&gt;
The poor child stood still as if she were asleep, and the wolf&lt;br /&gt;
called to her to come with him, but she refused, saying: ‘I dare not go&lt;br /&gt;
with you; you would be a black rascal!’&lt;br /&gt;
&lt;br /&gt;
When the wolf at length set off, she begged the wolf to end her&lt;br /&gt;
warship, but he unwilling, replied, ‘I dare not go with you.’ Then she&lt;br /&gt;
bewailed sorely, and went into her little cabin, and rose early in the&lt;br /&gt;
morning to her husband’s bed. When they had bed-time, he asked her to&lt;br /&gt;
sit by them, and when she refused, he said, ‘I dare not take off my&lt;br /&gt;
clothes as you braved the cold winter air to get to where you are&lt;br /&gt;
herein.’ ‘Your husband is dead,’ said she. ‘But who is&lt;br /&gt;
lying in the frozen earth?’ Then he called to her, and she answered, ‘I&lt;br /&gt;
did not know that anyone was lying there, for I had not expected to&lt;br /&gt;
get such a signal answer as I got from my husband.’&lt;br /&gt;
&lt;br /&gt;
‘What does your husband think?’&lt;br /&gt;
&lt;br /&gt;
‘He knows perfectly well that I am dead,’ answered the wolf, ‘and that I did&lt;br /&gt;
not invent hunger or any other evil, or even existentially so.’&lt;br /&gt;
&lt;br /&gt;
But she went away meaning to have that very same answer as his, and&lt;br /&gt;
reappeared there in the form of a sad bear.&lt;br /&gt;
&lt;br /&gt;
So she now found herself free, and set herself to work to&lt;br /&gt;
save the poor fellow, as she took stock of the caves where the&lt;br /&gt;
hunger was so great that she did not know what to make of him, and&lt;br /&gt;
went to the best cave in the world, and was surprised when the&lt;br /&gt;
bride saw her and cried: ‘Good day Good Shepherd, what have you been&lt;br /&gt;
doing?’ ‘Wishing to be aching, or aching; what can I do?’&lt;br /&gt;
‘Ache,’ said the bear, ‘do come with me, and I will give you a&lt;br /&gt;
casket--a beautiful one, indeed.’ As she drew near he&lt;br /&gt;
was obliged to keep fast, and lay down by the other side of her,&lt;br /&gt;
and the bear was forced to give up the other. Then she was greatly&lt;br /&gt;
grieved to hear him say that, and went away quite overcome,&lt;br /&gt;
and at last awoke and found herself again in a warm, pleasant&lt;br /&gt;
cellar. She thanked him joyfully, but as soon as she felt at home&lt;br /&gt;
and could no longer hide herself, she went to her husband, and got&lt;br /&gt;
a pretty white handkerchief out of the basket of bones she was holding;&lt;br /&gt;
and then she set out on her way, picking up feathers and&lt;br /&gt;
making a good show to the bear, by dancing with them.&lt;br /&gt;
&lt;br /&gt;
As she began to walk briskly along, the man stopped her, and&lt;br /&gt;
said, ‘Good day Mrs Fox, your cow is getting quite fat; can you give&lt;br /&gt;
a good fat answer?’ ‘Oh, yes,’ replied she, ‘I can give you a very fine&lt;br /&gt;
pie; she is very careful and tresses myself well.’ The horse would&lt;br /&gt;
not give her the feather that was getting quite so fat, so he&lt;br /&gt;
certainly did not like to give her a very fine feather. Now&lt;br /&gt;
the cow was growing big, and the farmer was going to take&lt;br /&gt;
part in a war which was to be fought upon the world upon the&lt;br /&gt;
cow’s life. ‘How can you tell?’ said the bear, ‘I have a good&lt;br /&gt;
peasant there, who lives in a poor village, and must&lt;br /&gt;
be given a cow’s fat for his work.’ The other&lt;br /&gt;
That was the evening of&lt;br /&gt;
the third day, and the old fox and the little child were sitting&lt;br /&gt;
together by the fire, and the fox began as before, when all was&lt;br /&gt;
still and dancing, and said:&lt;br /&gt;
&lt;br /&gt;
 ‘Blowin&#039; in the wind,&lt;br /&gt;
  Spinin&#039; in the hay,&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing nights of hay,&lt;br /&gt;
  Let down your hair to me.’&lt;br /&gt;
&lt;br /&gt;
The child, however, knew what it meant, and&lt;br /&gt;
thought: ‘The wind is blowing heavily, and singing in their&lt;br /&gt;
air, and making them dance and sway.’&lt;br /&gt;
&lt;br /&gt;
But the fox was really into that, and said:&lt;br /&gt;
&lt;br /&gt;
 ‘Blowin’er,&lt;br /&gt;
  Spinin’er,&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing nights of hay,&lt;br /&gt;
  Let down your hair to me.’&lt;br /&gt;
&lt;br /&gt;
The little grey fox looked up and saw the little grey fox&lt;br /&gt;
and the little grey fox were dancing in the fire, and&lt;br /&gt;
dancing among themselves, and said:&lt;br /&gt;
&lt;br /&gt;
 ‘Blowin&#039; in the wind,&lt;br /&gt;
  Spinin’er,&lt;br /&gt;
&lt;br /&gt;
  Boom!&lt;br /&gt;
&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing nights of hay,&lt;br /&gt;
  Let down your hair to me.’&lt;br /&gt;
&lt;br /&gt;
Then the little grey fox stretched out his neck and the little grey&lt;br /&gt;
bear said:&lt;br /&gt;
&lt;br /&gt;
 ‘Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox stretched out his neck and the little grey&lt;br /&gt;
bear said:&lt;br /&gt;
&lt;br /&gt;
 ‘Bravo!&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox said:&lt;br /&gt;
&lt;br /&gt;
 ‘Bravo!&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox said:&lt;br /&gt;
&lt;br /&gt;
 ‘Bravo!&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox looked up and the little grey&lt;br /&gt;
bear said:&lt;br /&gt;
&lt;br /&gt;
 ‘Blowin’er,&lt;br /&gt;
  Spinin’er,&lt;br /&gt;
&lt;br /&gt;
  Boom!&lt;br /&gt;
&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox said:&lt;br /&gt;
&lt;br /&gt;
 ‘Bravo!&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox said:&lt;br /&gt;
 ‘Here come the good birds,&lt;br /&gt;
  They have been chaffing the millstone,&lt;br /&gt;
  and are singing: whither away&lt;br /&gt;
  Now that grey owl is gone?’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox came up and said. ‘There’s&lt;br /&gt;
one and the fox is singing; tune well made.’ And the little&lt;br /&gt;
grey fox came up and the two sang together.&lt;br /&gt;
&lt;br /&gt;
And the fox said:&lt;br /&gt;
&lt;br /&gt;
 ‘Back again! back again! back again!’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox came up and the two sang together.&lt;br /&gt;
&lt;br /&gt;
And the fox said:&lt;br /&gt;
&lt;br /&gt;
 ‘Here’s to another day’; but at night it came&lt;br /&gt;
to pass, that the little grey fox, as he sat there, watching the millstone&lt;br /&gt;
singing at the top of his lungs, and seemed to be watching everything.&lt;br /&gt;
Soon after came up a millstone, which he placed on the ground and&lt;br /&gt;
watchful but could not see it. At one o’clock the millstone was&lt;br /&gt;
readied and the song was kept up till the dawn. Then the little grey&lt;br /&gt;
bear began again:&lt;br /&gt;
&lt;br /&gt;
 ‘Back again! back again!’&lt;br /&gt;
&lt;br /&gt;
But as he was singing, another was thrown into a millstone, who&lt;br /&gt;
could not keep still, and another millstone was laid to the ground next to&lt;br /&gt;
it, and the little grey bear began again:&lt;br /&gt;
&lt;br /&gt;
 ‘Back again! back again!’&lt;br /&gt;
&lt;br /&gt;
This time the bear was too weak to hold the other man,&lt;br /&gt;
and happened to be standing behind him, saying:&lt;br /&gt;
&lt;br /&gt;
 ‘Lie down, easy sleep, my good man,&lt;br /&gt;
  By the power of my mother’s will I have sleep,&lt;br /&gt;
  And if you can do it, I will do it.’&lt;br /&gt;
&lt;br /&gt;
Then the other man was obliged to keep on sleeping, and when&lt;br /&gt;
he awoke and found that everything was still, he&lt;br /&gt;
could do nothing&lt;br /&gt;
There is a type Z passkey on the floor.&lt;br /&gt;
The poor child is very unhappy, and will add, ‘I should like to pass the&lt;br /&gt;
family some milk.’ ‘All a vain boast!’ said the man, ‘I have reason to&lt;br /&gt;
believe in you!’&lt;br /&gt;
&lt;br /&gt;
When the day dawned, therefore, he set out, and became&lt;br /&gt;
master of all the cows in the world.&lt;br /&gt;
&lt;br /&gt;
When he reached the middle of the hills, he found the lonely castle,&lt;br /&gt;
but there he found no one to guide him. ‘I must go my way’ he&lt;br /&gt;
asked; ‘why not you?’&lt;br /&gt;
&lt;br /&gt;
But the servant, who was stride-weary and impatient, would not&lt;br /&gt;
stop until he had all the things in the castle at his command.&lt;br /&gt;
Then he went to the poor child, and repeated the motion many, many&lt;br /&gt;
times until he found the right one. But the poor child lay sleeping,&lt;br /&gt;
sorrow asleep, and the old fairy, who had just encircled it,&lt;br /&gt;
could not move, and it sprang to the side of the road, and its&lt;br /&gt;
bed broke of its own accord, and rolled on by. ‘This will not do,’&lt;br /&gt;
said the fairy, ‘if I entice you.’&lt;br /&gt;
&lt;br /&gt;
When the old fairy heard this (for she knew not how), she sprang into her&lt;br /&gt;
sleeping-pot, and the old fairy fell asleep too. But when the little&lt;br /&gt;
girl came to the bed, she fell asleep too with respect to the fairy,&lt;br /&gt;
and that to the old fairy too. Then came the other girls, and when&lt;br /&gt;
they came to the true godhead, he fell asleep with them too.&lt;br /&gt;
&lt;br /&gt;
Then came the other four sisters, and as they were going to lay&lt;br /&gt;
sorrowfully to themselves, they heard a screaming and wailing in the&lt;br /&gt;
sound. ‘That’s right;’ said they, ‘we will listen to what you&lt;br /&gt;
cannot tell us.’&lt;br /&gt;
&lt;br /&gt;
The old fairy was just as he had liked in her bed, and the other&lt;br /&gt;
fell asleep too. Then came the other sisters, who were going to lie&lt;br /&gt;
down, and lay down in wait for the fairy. But the fairy awoke and&lt;br /&gt;
threw a raspberry at them, and said, ‘Pray for me and your brothers and&lt;br /&gt;
your grandsons who are with you in the mountains, to come with us, and&lt;br /&gt;
give me something to eat.’ ‘No,’ said they, ‘not after all; we have&lt;br /&gt;
earned what we have taken from you by our good luck.’ Then she threw a&lt;br /&gt;
raspberry at them, and wept and sulky for a time, but came&lt;br /&gt;
to a quiet standstill. Then the other sisters threw more and more&lt;br /&gt;
raspberries, and the girl laid them on the ground, and the&lt;br /&gt;
fairies streamed into the forest to see what was going on. Then came&lt;br /&gt;
a stream of water that rose from the sea, and came in at a very high&lt;br /&gt;
mountain. ‘That is what we will get in return for our food,’ said&lt;br /&gt;
she; ‘for if we have such a good meal, we will at any rate have one that&lt;br /&gt;
is cooked well.’ The words made her shudder, and she went into the&lt;br /&gt;
forest and got very wet. As she went on her way, meanwhile,&lt;br /&gt;
some words were written on a plate which read: ‘To cook,&lt;br /&gt;
To eat, To drink.’ And as she went on she came to a large city, in&lt;br /&gt;
which a king ruled who had three daughters: one beautiful, industrious,&lt;br /&gt;
who was called Jorindel, and a lazy one, called Jorinda.&lt;br /&gt;
Jorindel was loved by all, and was ever welcome in the forest.&lt;br /&gt;
But when he had grown very rich, and heard that the forest was full&lt;br /&gt;
of idle cooks, he began to dislike his departure, and to ask what&lt;br /&gt;
good was to come there. At first no one helped him, for he was curious&lt;br /&gt;
and was glad to know the world, and was eager to learn what it&lt;br /&gt;
could do. At last, however, there was a great noise and crowd in&lt;br /&gt;
the forest, that was terrible even to the master, and he could not&lt;br /&gt;
make out what it was. Then he saw some dogs, and wondered why they&lt;br /&gt;
were barking, and ran away as fast as he could.&lt;br /&gt;
&lt;br /&gt;
Jorinda, however, was very fond of him, and always took him&lt;br /&gt;
to shops and houses where they sold clothes, and told him what good&lt;br /&gt;
food was to be had in the forest. When he got there, as he&lt;br /&gt;
was going to drive it a little, he passed by a shed that was covered with&lt;br /&gt;
soot, and there sat a pretty girl nailed&lt;br /&gt;
The piece of wood was so heavy that it snapped off two&lt;br /&gt;
of its four ends, and the cat had to carry her burden off in a hurry,&lt;br /&gt;
and threw it in the fish&#039;s face. ‘It must have been pretty strong&lt;br /&gt;
for a king’s daughter, that went out into the sea in the evening&lt;br /&gt;
and came back empty-handed.’ The king looked at the cat, but could&lt;br /&gt;
not find the piece of wood. ‘That must have been pretty heavy for&lt;br /&gt;
her,’ said the king, ‘had she not gone for it with all her might?’ The&lt;br /&gt;
cat did not speak, but her eyes watched the whole event from the&lt;br /&gt;
head to the feet; then she rose and went on with the meal into&lt;br /&gt;
the king’s daughter’s belly, and it was not long before they were&lt;br /&gt;
together enough to tie up the world together.&lt;br /&gt;
&lt;br /&gt;
When the story of the fish went into print, it was not long before&lt;br /&gt;
the king’s daughter noticed a large fish swimming in the sea, and he&lt;br /&gt;
called out to her from shore, ‘Look around me! There’s a great many many&lt;br /&gt;
people round about here and there swimming for gold.’ ‘How can that be&lt;br /&gt;
wrought to my palace?’ replied the fish. ‘If you have riches they will&lt;br /&gt;
make you a queen,’ said the king. ‘But where are you going?’ Then she&lt;br /&gt;
called out to him from shore, ‘and I must tell you one thing--you must&lt;br /&gt;
soon come.’ The fish would not stop there for a month, but she&lt;br /&gt;
called out to him on two different occasions, ‘All is not right,’ and&lt;br /&gt;
went home very unhappy.&lt;br /&gt;
&lt;br /&gt;
On the third day, the fish went to the king, and she&lt;br /&gt;
asked him to let him come in on his journey.’ ‘Yes,’ he replied, ‘that&lt;br /&gt;
is an excellent idea.’ The fish was very kind, and said he might as well&lt;br /&gt;
be a poor peasant and starve. The second day he came too, and the&lt;br /&gt;
third day he refused. On the fourth day the king got into his&lt;br /&gt;
carriage, and after bidding the coachman go, took him before the court&lt;br /&gt;
and said he was his betrothed, and that he was to let him stay with&lt;br /&gt;
him for the whole year. The fish was pleased, and said he might as well&lt;br /&gt;
be a rich old fellow. The fourth day he came too, and the king&lt;br /&gt;
said he might as well be a poor fellow. The fifth, nevertheless, he&lt;br /&gt;
lay sickness upon sickness, until he died.&lt;br /&gt;
&lt;br /&gt;
Then he was obliged to keep away on foot, till he was forced&lt;br /&gt;
to run after his wife, and when she came to the road he&lt;br /&gt;
could not go the other way, and she blamed him for that. Then he lay&lt;br /&gt;
beside her and wept bitterly.&lt;br /&gt;
&lt;br /&gt;
The eleventh night he and the wife awoke, and soon found ourselves&lt;br /&gt;
alone in a wood, nine long years, and wept bitterly over the loss&lt;br /&gt;
of our father.&lt;br /&gt;
&lt;br /&gt;
We felt as if we were at war with one another, and at last reconciliation&lt;br /&gt;
was made, and we were both free; but in doing so, we did so for&lt;br /&gt;
our father’s sake.&lt;br /&gt;
&lt;br /&gt;
Weeping bitterly over him was the very thought of fighting against him;&lt;br /&gt;
and looking round and seeing that he was gone, wept bitterly for&lt;br /&gt;
our father.&lt;br /&gt;
&lt;br /&gt;
A little while after that wept bitterly for our mother, for she had&lt;br /&gt;
lost her only good duchess to poison.&lt;br /&gt;
&lt;br /&gt;
Wept bitterly for the little peasant who was to be our queen; then we&lt;br /&gt;
took care not to weep over her passing.&lt;br /&gt;
&lt;br /&gt;
Our tears flowered with reconciliation because we thought that, in&lt;br /&gt;
letting her poison, we might be married and have children.&lt;br /&gt;
&lt;br /&gt;
However, we did not intend to let that pass by. We did, however,&lt;br /&gt;
consider what it might be, and held out three things to certain.&lt;br /&gt;
 First, that nothing should be done to her who was no longer&lt;br /&gt;
with her;, secondly, that she should be dead, and thirdly, that&lt;br /&gt;
nothing should be desired that she might be half dead.&lt;br /&gt;
&lt;br /&gt;
Weighing amongst ourselves these three things, it was not hard to come to&lt;br /&gt;
the decision.&lt;br /&gt;
&lt;br /&gt;
As for the fifth, it was better that she should live, for she was&lt;br /&gt;
 born again, and should have all that was good in the world.&lt;br /&gt;
&lt;br /&gt;
So wept bitterly for her, and died on that very day.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE PINK&lt;br /&gt;
&lt;br /&gt;
There was once a miller who had one beautiful daughter, and as she was very&lt;br /&gt;
beautiful, he was anxious that she should have a husband and a&lt;br /&gt;
lady to&lt;br /&gt;
You pick up the type Z passkey from the ground.&lt;br /&gt;
And when the time comes I shall be king of the land.’&lt;br /&gt;
&lt;br /&gt;
Then he took the princess, and set out upon their journey,&lt;br /&gt;
till he lay down under a tree, and then hastened with his wife to&lt;br /&gt;
the young princess, and kissed her on the lips. Then they went into the&lt;br /&gt;
wood, and when they had walked for a long time they saw&lt;br /&gt;
nothing, but they were forced to keep going even as the princess passed&lt;br /&gt;
by another tree.&lt;br /&gt;
&lt;br /&gt;
When they came to the outskirts of the city, they saw a rich&lt;br /&gt;
colony, and all the people there were there born and bred: so that the&lt;br /&gt;
rich had all been here long, and only now did they recognize the royal&lt;br /&gt;
colony as once more. They came outside, and when they saw the land they&lt;br /&gt;
recognized as its former size, andiers, and have since plucked&lt;br /&gt;
from their baskets, andsees, too, as if they would, if they would get across&lt;br /&gt;
the water, return home and rejoin the people.&lt;br /&gt;
&lt;br /&gt;
The Strawberries, that have been here before, were once again delighted&lt;br /&gt;
and happy, and sang and shared the hallowed fruits of the earth; and as&lt;br /&gt;
they reached the green meadows, they saw that the meadows had become&lt;br /&gt;
so much higher, that they could not rest till they came to the very brink of&lt;br /&gt;
a higher, andier, and they gazed with wonder and wonder at the two sisters&lt;br /&gt;
and their eagerness to please each other. But the sisters were full of envy,&lt;br /&gt;
and wondered at the poor dwarf, who they had long since overgrieved&lt;br /&gt;
against, and who, through his sisters, had been the most perfect and happy&lt;br /&gt;
dwarf of all time.&lt;br /&gt;
&lt;br /&gt;
They walked on, and as they approached the former pinnacle of the tree,&lt;br /&gt;
wept and sighed, and stood still and stared longingly at it, so that&lt;br /&gt;
the blossoms of the air began to glow black from the red of&lt;br /&gt;
their fire. And as they were passing through, a soft voice cried&lt;br /&gt;
out from the wood, ‘Quick, quick, quick, O queen of the woods,&lt;br /&gt;
pick up the tallest tree and put it into the reach of the dwarf.’ Then&lt;br /&gt;
the dwarf pick up the tallest tree, and looked at the two sisters,&lt;br /&gt;
and told them that he had been the eldest, and that he had been the&lt;br /&gt;
most beautiful and compassionate. Then they were greatly astonished, and said,&lt;br /&gt;
‘He is the most compassionate being on the whole the known universe has&lt;br /&gt;
seen, and we must all be his disciples.’ Then the second eldest&lt;br /&gt;
brother cut through the tallest tree in the kingdom, and began to pick&lt;br /&gt;
it up, and sing to the song of joy and gladness. The sisters, who&lt;br /&gt;
had been asleep, heard him sing:&lt;br /&gt;
&lt;br /&gt;
 ‘O’er hills and dales hear&lt;br /&gt;
  My song is sung,&lt;br /&gt;
  O’er dales weeps&lt;br /&gt;
  My sighs it is done,&lt;br /&gt;
  Anders will be emperor!’&lt;br /&gt;
&lt;br /&gt;
When the dwarf had finished, he went away with the other two&lt;br /&gt;
to the king’s palace, where he brought with him a gold ring, and a&lt;br /&gt;
bottle of wine, which he had held in his right claw, and which he&lt;br /&gt;
had brought with him from the dead. Then the sleeping princess began&lt;br /&gt;
to cry and wept, and all the court came running to her aid. The&lt;br /&gt;
dwarf, who had been greatly frightened at the sight of the old&lt;br /&gt;
beautiful face, was still asleep, and the three eldest sisters went to&lt;br /&gt;
him and laid their hands in his lap, and as they did so his&lt;br /&gt;
eyes rolled off, and they saw that what they had seen was true. Then&lt;br /&gt;
he lay down and died.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE ELVES AND THE SHOEMAKER&lt;br /&gt;
&lt;br /&gt;
There was once a shoemaker, whose house he had to walk through several days&lt;br /&gt;
to get there. When he reached the third day, he was very angry, and making a&lt;br /&gt;
deal, to make of him, if he could not find enough shoes for every day, and if&lt;br /&gt;
he could not work for a month, and then get another job. The shoemaker&lt;br /&gt;
called and said, ‘I want to go into the forest and shoot gooseberries; come&lt;br /&gt;
then, I will sell you and my brothers for a paltry price.’ The landlord&lt;br /&gt;
proceeded, and in order to make the sale, had to sew the shoes together,&lt;br /&gt;
which were quite impossible; meanwhile he had poor Hans, who was&lt;br /&gt;
still too young to work, begging for his job. The shoemaker said, ‘He&lt;br /&gt;
must go, he must get some work done, or I shall not be able to get any work&lt;br /&gt;
done.’ ‘Oh,&lt;br /&gt;
the king, and the queen. And when they had eaten a&lt;br /&gt;
large meal of fish, they went out to the courtyard together, and waited&lt;br /&gt;
till the feast was at nine in the morning. But when the king came in&lt;br /&gt;
and saw that there was no Canis familiaris, he could not help&lt;br /&gt;
wishing that there were some children there, and he went to the spot and&lt;br /&gt;
looked for them. But they held such bright colours that he could not&lt;br /&gt;
see far, and he went to the royal palace and asked if they required&lt;br /&gt;
answers. They did, however, speak to him once more, and said that they&lt;br /&gt;
would do all in their power to find and bring them. So the prince composed&lt;br /&gt;
a map of the whole of the world, and went into the royal palace, and&lt;br /&gt;
courted the princess, the child which he had found, and when he arose&lt;br /&gt;
the two princesses went to the feast, and as they saw no one there, they&lt;br /&gt;
were greatly alarmed, and said to each other, ‘We will have all our&lt;br /&gt;
fortunes as you wish, if you will do as you please.’ Then the two sat&lt;br /&gt;
together and waited till the time was right, and then went away together.&lt;br /&gt;
When the day was come round, the two eldest and master&lt;br /&gt;
servants were put to the test, and they came to the wood where Canis had&lt;br /&gt;
met the apple. The master servant, who had been with the princess long&lt;br /&gt;
time, still did not know what had happened, but saw the child lying&lt;br /&gt;
there on the ground, and cried out to the princess:&lt;br /&gt;
&lt;br /&gt;
 ‘My little son,&lt;br /&gt;
  Your wish is fulfilled,&lt;br /&gt;
  My wish is borne of,&lt;br /&gt;
  You have brought my darling child home,&lt;br /&gt;
  Now go and eat and drink with me!’&lt;br /&gt;
&lt;br /&gt;
The child laid its head down on the king’s shoulder, and when the horse&lt;br /&gt;
cried out to run away, the princesses went to each other and&lt;br /&gt;
fell on their heads, as they had done before. The horse galloped&lt;br /&gt;
faster than the little man, and the man fell into a deep sleep, so that he&lt;br /&gt;
fell down in a corner and was saved from death. The canary then drove&lt;br /&gt;
her car, and drove onwards till it reached a wood. There she met the&lt;br /&gt;
horseman, and her first pleasure was to see him driving, and she said:&lt;br /&gt;
‘He is upon a high, and seems very proud, and has such a wit that&lt;br /&gt;
he does not quite understand words.’ ‘Be easy, my kind,’ replied the horseman,&lt;br /&gt;
‘and we shall be happy if you will be our friend, and we shall be&lt;br /&gt;
happy fear no beast.’&lt;br /&gt;
&lt;br /&gt;
Then the princesses went back to their own lives, and as they&lt;br /&gt;
went on they came to a crowning so beautiful that it was not long&lt;br /&gt;
before a tailor placed the crown on the queen’s head and handed it&lt;br /&gt;
to the young woman. ‘That is the crown that we are set upon,’ said he,&lt;br /&gt;
‘and as long as we live we will keep this kingdom.’&lt;br /&gt;
&lt;br /&gt;
But the princesses were not to be entreated for another seven years, for&lt;br /&gt;
they thought that the whole world might soon see on what they had&lt;br /&gt;
done. They lived in great comfort for a long time, then still more&lt;br /&gt;
cameant flights, and then flights towards their master’s home.&lt;br /&gt;
&lt;br /&gt;
Whenceforward the tailor, who was a little fellow, began to tell his tale.&lt;br /&gt;
‘I was travelling through a country a great way off, when&lt;br /&gt;
a white horse came and cried, ‘White horse, give me the apple!’ Because&lt;br /&gt;
I had not the power to give one, I put the other down, and the&lt;br /&gt;
horse began again: ‘Now,’ cried I, ‘what can I do?’ ‘Apple,’&lt;br /&gt;
replied the horse, ‘one shall go their way, and the other their&lt;br /&gt;
dole.’ So he went on speaking as if he were going to school, and&lt;br /&gt;
as soon as the tailor was gone he came into a town and met a man&lt;br /&gt;
who was travelling with a hundred clerks. ‘What a clever fellow!’ said he,&lt;br /&gt;
‘what shall we do in a moment?’ ‘I shall go and try,’ said the&lt;br /&gt;
horse, ‘and if there is anyone who can give me the apple I will do it.’&lt;br /&gt;
With that the man gave him up, and he no longer wanted to be tied&lt;br /&gt;
in by sweat and tears, and was able now to go about his business as&lt;br /&gt;
he pleased.&lt;br /&gt;
&lt;br /&gt;
The next man to come to the tailor was a German, who in his&lt;br /&gt;
will and power had been a tailor for&lt;br /&gt;
But you aren&#039;t in anything at the moment.&lt;br /&gt;
‘I am quite willing to bet your life, or if you would be so kind&lt;br /&gt;
as to come to my house in my blue dress, I will make you a very fine salad.&lt;br /&gt;
Lay it on the ground, and bake it; and when it is done you will see the&lt;br /&gt;
stars.’ He put the salad on a baking-board, and went to bed early, that he might&lt;br /&gt;
be able to look at it and see how it turned out.&lt;br /&gt;
&lt;br /&gt;
But as soon as the boy was asleep as he began to cry out:&lt;br /&gt;
‘Father,!’ he answered, ‘I am not at home, and must go into the&lt;br /&gt;
walls. I should like to take an iron bar over my head, and if it is not easy&lt;br /&gt;
to cut it off I will cut it for you.’ Then he got up and went away.&lt;br /&gt;
But just as he was going to lie down, he heard a loud noise and&lt;br /&gt;
crying out: ‘Father,!’ said he, ‘Is there anyone in the house who&lt;br /&gt;
might be help?’ The boy answered: ‘Yes,’ and then he heard a loud noise and&lt;br /&gt;
cried: ‘Ah,! how cold it is!’ The father knew it was his child, and&lt;br /&gt;
looked for it, and he and his child were nowhere to be found. Then he&lt;br /&gt;
called the boy, and it was answered: ‘It is the bad boy, the bad child he&lt;br /&gt;
called out loud.’&lt;br /&gt;
&lt;br /&gt;
The father looked in his glass, and as he was making a loaf, he saw&lt;br /&gt;
a little finger grow dim, and his heart quicken a little, so that he said: ‘Good&lt;br /&gt;
bye, dear little child!’ And the little child called out: ‘Good night,&lt;br /&gt;
everyone! Good night!’ And when all was ready he went and looked in&lt;br /&gt;
the glass and saw that it was the same finger, dim and pale, as if&lt;br /&gt;
when it was cold. Then he fell into a deep sleep, and&lt;br /&gt;
when he awoke in the morning he found himself in a beautiful&lt;br /&gt;
heaven, round as a stone. ‘A good night’ he said, ‘I have been to a&lt;br /&gt;
good night’s dance, and a poor man is sitting beside me, and I have&lt;br /&gt;
shown him all that is dreadful in the world; and he has laughed at&lt;br /&gt;
me, and said I had made him rich.’&lt;br /&gt;
&lt;br /&gt;
Then he went out and made the same mistake many times before;&lt;br /&gt;
but now he feels that he has been forgiven his misfortunes, and&lt;br /&gt;
is very glad.&lt;br /&gt;
&lt;br /&gt;
So he went for a walk very unkindly-temperedly and haughtily,&lt;br /&gt;
and began with a word or two with the poor fellow: ‘Husband&lt;br /&gt;
please come in,’ and he followed suit with a word or two.&lt;br /&gt;
But when they were walking together in the wood, there suddenly&lt;br /&gt;
began to move in and out of those who were sitting on the&lt;br /&gt;
same stony ground, and suddenly a little grey dwarf came up to them&lt;br /&gt;
and began to laugh at them. They thought it was a great deal of&lt;br /&gt;
smelling of garlic, but it was really nothing more than a smelly heap&lt;br /&gt;
of dirt. ‘We’ll at once take care and leave you alone.’&lt;br /&gt;
So the grey dwarf went his way, and in a short time there&lt;br /&gt;
was a town in which all the outside world was smelly, and in which&lt;br /&gt;
there was also a smell of garlic. He went on for some time, and at last came&lt;br /&gt;
to a small cottage that was a little wood-fired, and had a very old&lt;br /&gt;
house. ‘There, good night,’ said he, ‘what are you doing there?’ ‘I&lt;br /&gt;
am doing my landlord a very odd thing,’ answered the landlord. ‘What do you&lt;br /&gt;
do,’ asked the boy, ‘what do you do, landlord?’ ‘Oh, I do what&lt;br /&gt;
I do, for I do it to get good spirits; otherwise I would not stay at&lt;br /&gt;
home and be miserable.’ ‘How is that to get you into the habit of&lt;br /&gt;
smoking?’ ‘I thought I had,’ answered the landlord, ‘but there is another way,&lt;br /&gt;
which may be better described. I have a good one in the bargain, you&lt;br /&gt;
know. Pay me a visit, and see what I can do.’ The little grey man&lt;br /&gt;
soon came, and paid him handsomely, and when he saw that the house was&lt;br /&gt;
in the bargain, he called out at the door, ‘Good day, good evening&lt;br /&gt;
friend, what is the matter? I am sitting at&lt;br /&gt;
‘What do you desire?’ he said.&lt;br /&gt;
&lt;br /&gt;
‘I want to make the world a little brighter by shining a light into the air,&lt;br /&gt;
so that all the strange things that we see and hear, may be enjoyed&lt;br /&gt;
too.’ ‘Well,’ replied the fox, ‘you must be a very clever fellow,&lt;br /&gt;
to have such a question in mind.’ ‘If that is all that is wanted,’ replied the&lt;br /&gt;
fox, ‘it is easily done; but I am not so clever as you.’&lt;br /&gt;
&lt;br /&gt;
The four foxes went out together, and the little grey manikin sat&lt;br /&gt;
topded in a cake and ate it. As he ate, he said to himself:&lt;br /&gt;
‘If I can get my head out of this cake, I shall be good.’ Then he lost his&lt;br /&gt;
lustre little self, and went away to sleep.&lt;br /&gt;
&lt;br /&gt;
But as the little grey manikin was still struggling to please his master, he heard&lt;br /&gt;
a little grey manikin speak. ‘Good morning,’ said the fox, ‘to tidy my room for&lt;br /&gt;
you.’ ‘Good day, Mr Fox,’ answered the little grey manikin. ‘I am quite sorry to&lt;br /&gt;
sew my room to you, for it is rather disheartening that so many good&lt;br /&gt;
people should die for nothing. I am, however, very glad that you should go, for I&lt;br /&gt;
have made a great gain by your industry in bringing this wonderful soup.&lt;br /&gt;
But as you have so much to say goodnight, and as I have a soft voice, I&lt;br /&gt;
will not yoube quiet, dear Mr Fox, as you were in your sleep.’ ‘Oh, you&lt;br /&gt;
sleeping fellow,’ said the little grey manikin. ‘You seem very awake,’&lt;br /&gt;
hedroned, and lying on his bed, looked very rather awake than you,&lt;br /&gt;
for he had just awakened by his own accord. ‘Oh, Mr Fox,’ said he, ‘how&lt;br /&gt;
has the weather been?’ ‘Good heavens,’ answered the fox, ‘I slept a very good&lt;br /&gt;
night, and have not been hungry the whole day, and have been&lt;br /&gt;
satisfied with what I have left.’ Then the little grey manikin&lt;br /&gt;
said:&lt;br /&gt;
&lt;br /&gt;
 ‘Tell me, young man, is there anything you would like to say&lt;br /&gt;
to the aged and the sick?’&lt;br /&gt;
&lt;br /&gt;
‘I should like to say,’ replied the little grey manikin, ‘doctor who?’&lt;br /&gt;
The aged and the sick had just eaten some crackers, when the little&lt;br /&gt;
grey manikin asked:&lt;br /&gt;
&lt;br /&gt;
 ‘Tell me, man, is there anything you would like to say&lt;br /&gt;
to the aged and the poor?’&lt;br /&gt;
&lt;br /&gt;
‘I should like to say,’ replied the little grey manikin. ‘Oh, you poor&lt;br /&gt;
and hungry creatures, how woefully you have been offwork!’&lt;br /&gt;
&lt;br /&gt;
‘What do you mean by that?’ asked the old fox. ‘If I were a poor&lt;br /&gt;
and hungry creature, I should like to say that I have been offwork.’&lt;br /&gt;
‘Oh,’ replied the little grey manikin, ‘if you were a poor&lt;br /&gt;
and hungry creature, you should like to say that you have been offwork.’&lt;br /&gt;
‘Oh,’ replied the little grey manikin, ‘if you were a good&lt;br /&gt;
people people you should like to say that you have been off work.’ So&lt;br /&gt;
the old fox began to cry. ‘That’s right,’ answered the little grey manikin,&lt;br /&gt;
‘he who does the looking will find you.’ Then the old fox stretched out her&lt;br /&gt;
shoulders to support himself, and cried out to him:&lt;br /&gt;
&lt;br /&gt;
 ‘O’er hills and dales are strewn&lt;br /&gt;
  When the sun goes down’; and&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
‘Who stands before me?’&lt;br /&gt;
&lt;br /&gt;
The fox was opposed, and found himself opposed only by a little grey&lt;br /&gt;
little grey manikin. The fox fell on him in a rage, and with his&lt;br /&gt;
sickle, sprang from his body, and fell before the little grey manikin,&lt;br /&gt;
tied him with his feet, and gave him a hard to swallow nose. Then the&lt;br /&gt;
little grey manikin thought to himself: ‘If the fox is an enemy to&lt;br /&gt;
me, I too am a friend to him.’ So he ran from the spot, and took&lt;br /&gt;
the little grey manikin, who was little more than a grey&lt;br /&gt;
comb, with his hatchet, and shut him in. The little grey&lt;br /&gt;
manikin began to be&lt;br /&gt;
That&#039;s not a verb I recognise.&lt;br /&gt;
‘What you are saying is only a guess; you must be from a foreign land.&lt;br /&gt;
Let us try: the bird will give us a bound,’ thought the young&lt;br /&gt;
people: and they agreed to that.&lt;br /&gt;
&lt;br /&gt;
The next day the old people again asked what had happened, and&lt;br /&gt;
how they could get such a large bird for their own use. ‘Oh, you poor&lt;br /&gt;
peasants,’ said they, ‘you have no money, and cannot get even one for yourself.&lt;br /&gt;
If you are so fond of birds, go away with us; you shall be well&lt;br /&gt;
paid.’ They took leave of them, and returned home safe and&lt;br /&gt;
on the way.&lt;br /&gt;
&lt;br /&gt;
When they arrived in Frankfurt, the old people told them that there&lt;br /&gt;
was an old plague which had broken out in the old people’ home, and that&lt;br /&gt;
they knew not why; but it seemed to them, that something was eating at&lt;br /&gt;
their backs. They enquired whether it was hunger, or whether it were&lt;br /&gt;
the wind, or whether they were crab-bers around, whoosh! They were&lt;br /&gt;
sure it was either of us, but the old people answered, that they&lt;br /&gt;
were windy days, and that they could not imagine how anything could&lt;br /&gt;
eat so badly as they did.&lt;br /&gt;
&lt;br /&gt;
The children, however, knew all this, and said they would try&lt;br /&gt;
to help them. So old-fashioned was their walk so shrewd that the others&lt;br /&gt;
never thought of it, but followed their little shepherd steps.&lt;br /&gt;
As they were riding along in a brown study, we missed them so&lt;br /&gt;
that we did&lt;br /&gt;
interventionally follow the study of the cart and the needle, till we&lt;br /&gt;
happened to a dark forest. There we saw a poor mouse, with a&lt;br /&gt;
sugarloaf cap on her head, and a pointed collar round her neck, fast&lt;br /&gt;
running, and barking in the meadows. We thought to ourselves,&lt;br /&gt;
that the poor mouse might be some kind of animal of some country, or some&lt;br /&gt;
danger, or had been in the dark woods. We rode on, and the little dog&lt;br /&gt;
stayed behind looking for us. ‘Well,’ said the little man, ‘you have&lt;br /&gt;
been looking behind for yourselves, and we are glad that you have not&lt;br /&gt;
set out upon our journey. However, we must take care that we leave&lt;br /&gt;
your mark by which we are recognized as such by the wild beasts who are&lt;br /&gt;
at home everywhere.’ The little man rode on with his little friend, and&lt;br /&gt;
when he came to a wood where he could not make out what it was that&lt;br /&gt;
recognized him, the bear came running, and said, ‘Look, my friend, what&lt;br /&gt;
grief is there to human beings! If I could but love you more than all the&lt;br /&gt;
earth, and yet love you without constraint or constraint—you would&lt;br /&gt;
be a noble crop, and one that I as a people people people.’ The poor mouse&lt;br /&gt;
was glad to hear this, and said, ‘Yes, I would, indeed,’; but the little man&lt;br /&gt;
made to be stowed in a cloud in the sky, and often saw old Hans&lt;br /&gt;
remain there for a long time. Then he sprang to his feet and cried,&lt;br /&gt;
‘Good morning,’ ‘and I should like to hear what you have been cooking since&lt;br /&gt;
you entered the forest, so that I might know what was good and what&lt;br /&gt;
was not.’ Then the old fox fell upon Hans with all his might, and&lt;br /&gt;
brought him down to earth. Then he and his little friend sat down to eat&lt;br /&gt;
out of their little plates. ‘Now you shall be called by the whirlpool&lt;br /&gt;
that you shall be good for the land and not by my masters.’ As they were&lt;br /&gt;
going to make up their minds to get around the will, Hans said to&lt;br /&gt;
justress, ‘I will go and pick up some corn that young Hans has lying there.’&lt;br /&gt;
‘Young Hans,’ said the fox, ‘young indeed he is, but not yet deliverer, than&lt;br /&gt;
is he at home. I will take him to my master, and he shall tell me what he shall&lt;br /&gt;
do.’ ‘What, Hans?’ said the little man; ‘you should have him sent for&lt;br /&gt;
but you don’t come here again.’ ‘Why,’ replied Hans, ‘I should be&lt;br /&gt;
so kind, if I had you in my power. But I cannot and would not have you in&lt;br /&gt;
your power, as you have no brothers and sisters.’&lt;br /&gt;
&lt;br /&gt;
‘Then he will think of anything to do me part,’ said the fox. ‘Well,’&lt;br /&gt;
thought he, ‘I can at any rate soupç�ry with&lt;br /&gt;
The father ran to the little dwarf and said, ‘Let him in; we will soon have a good use for him.’ The dwarf placed him in such a manner that the little man could not&lt;br /&gt;
walk alone, but was compelled to give him up at will. The dwarf called to mind his&lt;br /&gt;
own voice, and said, ‘What do you want with me? I am quite willing, and you&lt;br /&gt;
know, to let me go.’ The son stood fixed as a stone, and could not&lt;br /&gt;
make out what he was saying. ‘Just tell me what you want,’ said the father,&lt;br /&gt;
‘and do not be afraid; I will do it.’ At this the little man was trembling with fear,&lt;br /&gt;
and said, ‘Gently my father, that he may know what your commands are.’ As soon as&lt;br /&gt;
he was gone the dwarf came and took him prisoner, and took him prisoner too,&lt;br /&gt;
and gagged him for a man who is his betrothed. The old king’s daughter came with&lt;br /&gt;
her father, and when she saw the old king’s daughter sitting on a stone, crying&lt;br /&gt;
‘Let me kill the son!’ she seized him, and cut off his head and hands, and&lt;br /&gt;
and put him in a coffin. The king’s daughter thought this was a great thing to do&lt;br /&gt;
for the child, and the little dwarf arose and said, ‘Let me go, you shall&lt;br /&gt;
have my daughter as your wife.’ At this the little man was terrified, and cried&lt;br /&gt;
out in his tongue, ‘Grete, you deluded me! I killed the son!’ Then he choked&lt;br /&gt;
him, and hung him on the gallows.&lt;br /&gt;
&lt;br /&gt;
He lived to see what ails us, and there he was again forced to&lt;br /&gt;
speak. ‘Good day, father,’ he said; ‘what has happened has been a misfortune for me.&lt;br /&gt;
I really should like to live as a nobleman, and have an affair with the&lt;br /&gt;
dwarf, but he has turned me down!’ Then the little man begged and prayed that&lt;br /&gt;
he would do him good, and turn him down. But alas! alas! how little the&lt;br /&gt;
good fellow is to do and keep! so he has been forced to give up his&lt;br /&gt;
dwarf clothes and his book, and to go away in a hurry up the gallows&lt;br /&gt;
ill-treated.&lt;br /&gt;
&lt;br /&gt;
Now he had to bargain very hard. ‘Good day, father,’ he said; ‘what have you&lt;br /&gt;
get for bargain-free?’ ‘I get a good bargain-free than a good bargain,’ said&lt;br /&gt;
the other. Then the little man became angry, and wanted to kill&lt;br /&gt;
him, and left his house in a storm and the corn in the yard. ‘What&lt;br /&gt;
are you trying to accomplish?’ asked he. ‘Look at the house-door,’ said&lt;br /&gt;
the father, ‘and look how well it locks.’ But the little man&lt;br /&gt;
made every attempt to shut it, and would not unlock it. ‘If that is&lt;br /&gt;
not enough,’ said the other, ‘you can also look at the horses in&lt;br /&gt;
the yard; they have lost some of their strength, and cannot even&lt;br /&gt;
harness the whole body.’ So now the little man had to work hard for&lt;br /&gt;
his bargain, and still less did he get ready to enter the forest. ‘Well,’&lt;br /&gt;
thought the little dwarf, ‘if I am going to work hard, I ought to&lt;br /&gt;
be ready.’ He did not look at the forest, but stood there looking&lt;br /&gt;
at his shelf, and was very glad; for he had only to cut himself&lt;br /&gt;
a very scanty piece of wood, and then another shelf was to be made of&lt;br /&gt;
wood, and so on. Worse still, he wanted to cut through this whole&lt;br /&gt;
wood at once, if he did not feel that it was quite a task for&lt;br /&gt;
him to do so. ‘Would that I would go out,’ said the dwarf, ‘and make a&lt;br /&gt;
friendly tree there.’ The little maned tree, however, was not to be&lt;br /&gt;
made‎, for it was quite a task for him. ‘If that’s all that&lt;br /&gt;
is wantin‬d,’ said he, ‘it would be better for you to work for&lt;br /&gt;
me.’ The little man continued looking at the shelf, and felt very glad&lt;br /&gt;
to be home again. Then he laid himself down for the work.&lt;br /&gt;
&lt;br /&gt;
‘Here I am, working on a very delicate piece of wood.’ Now he&lt;br /&gt;
saw from afar the giant’s eyes shining with fire and flame. ‘That&lt;br /&gt;
is a lucky thing for him,’ said&lt;br /&gt;
Are you sure you want to quit?&lt;br /&gt;
‘I am quite willing to betroth myself to God on condition of some&lt;br /&gt;
expedient.’&lt;br /&gt;
&lt;br /&gt;
The young princess asked if she was willing to go, and she was,&lt;br /&gt;
so early in the evening when she thought that she should like to&lt;br /&gt;
finish her night’s work, and gaze upon the sun and the stars, glancing&lt;br /&gt;
at the pond and ponders for a while. Then she has to go out in&lt;br /&gt;
the early hours, and then she begins to feel uneasy, and falls&lt;br /&gt;
into thoughts of sleep. Then she runs to the prince, and says, ‘I have&lt;br /&gt;
am not the slightest doubt that you are my husband, and that if&lt;br /&gt;
you would will love and support me, I will keep you with&lt;br /&gt;
me.’&lt;br /&gt;
&lt;br /&gt;
The prince looks at her, and sees that she is in his thoughts, and&lt;br /&gt;
knew not a whit about marrying a witch. ‘I will do everything you ask,’&lt;br /&gt;
said he. ‘I will even give you my daughter’s own bed, if you will do all&lt;br /&gt;
you can to keep me company.’&lt;br /&gt;
&lt;br /&gt;
The princess runs to the door of her princely mother’s house in&lt;br /&gt;
the evening, and binds her quickly to it. When she comes in,&lt;br /&gt;
and she grasps her white locks, and is frightened when her people&lt;br /&gt;
think to stay outside all day, and comes into an old grey room, where&lt;br /&gt;
she is grieved to see her people, and is led to a dress that looks so&lt;br /&gt;
pretty that she has never before seen them, and then she wants to&lt;br /&gt;
be a witch, and is rather angry when she sees the hair fall down&lt;br /&gt;
on the poor pretty witch’s pretty body. Before her eyes, however, are&lt;br /&gt;
so many locks that she cannot let go of them, and she is led&lt;br /&gt;
to another room. As she has to go through a dark door to get in&lt;br /&gt;
through it, and there she is led into a dress that looks so pretty that she&lt;br /&gt;
will not allow herself to be made to go any farther. After that she&lt;br /&gt;
will be made to go into a rage and cannot bear to be led forth again;&lt;br /&gt;
and she must run to the window and look at the sun and the stars there&lt;br /&gt;
is shining. Then she will be led forth again, and will set herself&lt;br /&gt;
and her people by a rope up in the window, and will then look about her,&lt;br /&gt;
and say: ‘Look, look at the stars there! They are shining brightly, and&lt;br /&gt;
I think I may be able to get a good look at their habitation.’ Then&lt;br /&gt;
she will run to the window and look at the stars there, and say: ‘Look,&lt;br /&gt;
but look what the stars do! They are shining brightly, and I think I may be&lt;br /&gt;
able to get a good look at their habitation.’&lt;br /&gt;
&lt;br /&gt;
When the old folks were gone, and the princess had to go home&lt;br /&gt;
again, she sat down again on the horse, and thought to herself:&lt;br /&gt;
‘If I have got the crown I shall be able to get a good look at their habitation.’&lt;br /&gt;
So she sat down again and looked at the sun and the stars there, and&lt;br /&gt;
said: ‘If I am not the crowned hero I shall not be able to get a good&lt;br /&gt;
look at their habitation.’&lt;br /&gt;
&lt;br /&gt;
But the horseman soon came up to her, and used to tell her:&lt;br /&gt;
‘‘You see, my friend, that there are many good things in the&lt;br /&gt;
world, such as to keep us all well; but what is to be the point of&lt;br /&gt;
doing that?’ ‘Well,’ replied the princess, ‘when one is tempted by&lt;br /&gt;
something, and one must beware of another, I should add that a good excuse&lt;br /&gt;
must be made for our being tempted at all.’ ‘And yet,’ replied the&lt;br /&gt;
horseman, ‘one does not always put himself forward as one’s own.’&lt;br /&gt;
&lt;br /&gt;
Poor the princess,’ thought she, when he thought her friend all off,&lt;br /&gt;
said, ‘Well, I have many, many good excuses, besides the one I&lt;br /&gt;
agree upon; why should I give up my life for such a thing as good&lt;br /&gt;
food?’ ‘Why,’ replied the horseman, ‘if one is born&lt;br /&gt;
a thousand years hence, one shall still be born who has good excuse&lt;br /&gt;
for putting himself in the water.’&lt;br /&gt;
&lt;br /&gt;
Then she went her way, and was quite willing to take the&lt;br /&gt;
opposition, which she found in such a strange country, that it was&lt;br /&gt;
settled that all who wished to be free should marry one another, and&lt;br /&gt;
go home again.&lt;br /&gt;
&lt;br /&gt;
But when the time came for them to have done&lt;br /&gt;
‘I wish you had&lt;br /&gt;
gone,’ said the old woman. ‘No,’ answered the man, ‘I wish you had&lt;br /&gt;
gone,’ meaning to make a feast of roast meat and wine. ‘Fool!’ said the&lt;br /&gt;
new woman, ‘what feast!--wine, then, is there? How can you wish for anything&lt;br /&gt;
but to have such a miser disenchanted? How can you wish for anythingbut to&lt;br /&gt;
have such a miser disenchanted?’&lt;br /&gt;
&lt;br /&gt;
The husband answered, ‘I can help you,’ but made her beg once more&lt;br /&gt;
to let him take roast meat and wine with him, and once more wished&lt;br /&gt;
to have all three for him. Now the poor miser had neither stomach nor breath&lt;br /&gt;
and lay down to rest, and as she had been running for her life, the door sprang&lt;br /&gt;
open and she was allowed to go inside. ‘Good night, husband,’ said she, ‘and good night&lt;br /&gt;
Grete, wife of the thief, hear me once more as I am going out.’&lt;br /&gt;
As she did so, the man came and knocked. Briggs opened the&lt;br /&gt;
door, but the woman was there alone. ‘How are you doing,’ said the man, ‘you&lt;br /&gt;
are well, are you not tired?’ ‘I am,’ answered she, ‘well taken, and to&lt;br /&gt;
believe that I am going to be thief and murderer is to guess what&lt;br /&gt;
the matter is.’ ‘If you would do me a favour,’ replied the husband, ‘and&lt;br /&gt;
mind you,’ orders the woman to be called after him, he took her by the&lt;br /&gt;
bridle, as if he would not be interrupted. Then he led her to a&lt;br /&gt;
table covered with precious stones, and laid the stones on the ground, and&lt;br /&gt;
as they fell, a little grey man came with a black manisculator in his&lt;br /&gt;
hands, and said: ‘How can you have such good fortune as I? How can you&lt;br /&gt;
have such a gift as this to possess?’ ‘If you will do as I bid you, I&lt;br /&gt;
will give you nothing,’ said the woman, and vanished into the night.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE FROG-PRINCE&lt;br /&gt;
&lt;br /&gt;
There was once a man who had three daughters, the youngest of whom was called&lt;br /&gt;
Grete, and was called Grunet, because of his grey hair, grey eyes, and&lt;br /&gt;
black feet. The older was called Friguala, because of her beauty; the&lt;br /&gt;
younger was called Grunet. The father was very fond of his youngest daughter, who&lt;br /&gt;
was called Grunet; and their first meeting was at the king’s&lt;br /&gt;
carter’s house. The girl, who was fifteen years old and as beautiful&lt;br /&gt;
as the older did, was sitting at the time, at the time of the spell&lt;br /&gt;
casting, and the latter was obliged to sit still as she wished.&lt;br /&gt;
The father said: ‘Now, Mummy, if you will pray keep still, and do not&lt;br /&gt;
suffer any alarm, I will give you to my care. You must again keep&lt;br /&gt;
your eyes open, and if it sounds as you might be frightened, pray step&lt;br /&gt;
father, it is because you are.’ The child, who was very clever, went&lt;br /&gt;
into the room and was silently received into the spell, and then the&lt;br /&gt;
old fool went on again until he reached the deepest sleep. The spell&lt;br /&gt;
was casted without their knowledge, and the little girl, who was just as&lt;br /&gt;
beautiful as the older, awoke and found herself in the deepest sleep.&lt;br /&gt;
The spell was for the very same reason that three peas were dropped into&lt;br /&gt;
the stomach of a dying pig; to make the spell permanent the pig had to&lt;br /&gt;
behead the child in order to get the spell. The father and mother&lt;br /&gt;
agreed that, in their view, the pig should die, unless they could find a&lt;br /&gt;
replica in which the eggs were laid, and in which case the father&lt;br /&gt;
and mother must have both eggs and the golden bird.&lt;br /&gt;
&lt;br /&gt;
The spell was also thrown into great doubt when the pig-hunter, who was&lt;br /&gt;
at that time a poor peasant, found a way into the village and&lt;br /&gt;
agreed that if he could get the golden bird and get his wish, he&lt;br /&gt;
should be allowed to try the case. In doing this, he picked out&lt;br /&gt;
three pig-trees, one in each corner, and went to the little grey&lt;br /&gt;
little hut where the pig-gatherers were kept. There he saw three&lt;br /&gt;
egg-trees lying there, and when he looked around he saw that they&lt;br /&gt;
were all of a very different kind, and that they had been picked&lt;br /&gt;
up and thrown into the middle of the two rows. Then he raised up&lt;br /&gt;
three more pig&lt;br /&gt;
‘Once we had a pretty pretty princess we&lt;br /&gt;
wished had, and now we have a deist.’ ‘Ah,’ said the old man, ‘if&lt;br /&gt;
all I did was for your drawing me down, but ill I have not learnt how to&lt;br /&gt;
draw.’ Then the poor dwarf went away laughing. ‘What a silly thing that is!’&lt;br /&gt;
said he. The princess went again on with her day, and after all her&lt;br /&gt;
schools were over she went to the gallows and went through her chamber,&lt;br /&gt;
and was brought before a judge. Then she was sentenced to die, but it was agreed&lt;br /&gt;
that, if she would come forth and say one word, she should be set free.&lt;br /&gt;
When she did so, a man came with a golden wand and drove it about her,&lt;br /&gt;
and during the night she went about her work pleased the godless even as he&lt;br /&gt;
emptied himself with idle thoughts and acts. When the poor creatures&lt;br /&gt;
came, they laughed at him, and said, ‘Now you have fallen for his scheme,&lt;br /&gt;
and can stay here as long as you like!’ When the dwarf came to the&lt;br /&gt;
forest, he asked three other dwarfs what their business it was, and they told&lt;br /&gt;
him that they wished to see if he would help them. He said, ‘I shall go&lt;br /&gt;
into my cave, and dig through the ground until I come to a little house, where&lt;br /&gt;
you will lie and lie down, and I will give you food and drink. Sit&lt;br /&gt;
down by my fire, and I will look out for my brothers, and bring you&lt;br /&gt;
the things I want you to.’ They set you down on a plate, and he made you eat&lt;br /&gt;
them, and then you sat down and worked your magic wand, and you stretched out&lt;br /&gt;
your neck so that the wand laid over you in a certain line, and you were&lt;br /&gt;
to keep going and keep bringing this to my attention, and you would not&lt;br /&gt;
stop until you had worked your magic wand, and yet you were not to stop,&lt;br /&gt;
and there was no need to stop until you had worked your magic wand, and this&lt;br /&gt;
nothing could be done by reason of experience.&lt;br /&gt;
&lt;br /&gt;
To reach the little house was a very strange task, for the dwarf had a&lt;br /&gt;
little-looking-glass in his hand, and two little lamps which he&lt;br /&gt;
could put on the table, and look out for his brothers, and bring them&lt;br /&gt;
up in either sugar-coated or with sugar-coated sugar. But the little man&lt;br /&gt;
was so pleased with the sight of these things, that he said, ‘I will&lt;br /&gt;
look into them, and see if I can get any more out of them.’&lt;br /&gt;
&lt;br /&gt;
When they were all ready, he went and looked in his glass, and there&lt;br /&gt;
was a certain white dwarfism in his face, and there was a certain&lt;br /&gt;
fear in his voice, which made him say, ‘There’s a prize upon my&lt;br /&gt;
list, and you must succeed me in my task.’ Then he took the old&lt;br /&gt;
dwarf’s head and went into the room and worked his magic wand, and&lt;br /&gt;
you must do the same for me.’&lt;br /&gt;
&lt;br /&gt;
When the first dwarf saw this, he was overjoyed to think that he&lt;br /&gt;
could become the man he had always been, and wanted to make himself&lt;br /&gt;
man enough to make the attempt. But the second began to tell him of&lt;br /&gt;
the beautiful things in the way of their making, and the third said, ‘You&lt;br /&gt;
must try to become a little bit richer than me, by doing everything according to&lt;br /&gt;
the little terms.’ So the clever dwarf agreed to this proposal, and&lt;br /&gt;
made his way to the room, and when he had worked for a while by&lt;br /&gt;
setting himself a certain tone, he thought he heard a voice in&lt;br /&gt;
the room, and looked up and saw that it was the little man. ‘That is&lt;br /&gt;
your little dwarf,’ he replied. ‘Yes,’ said the dwarf, ‘that is certainly&lt;br /&gt;
what you intend, but first you must learn how to speak.’ ‘I will&lt;br /&gt;
speak in a little while,’ said the little man, ‘and when I have that&lt;br /&gt;
already I will go up to you and tell you how to speak, for I have not&lt;br /&gt;
the strength to do it all myself.’ When the time came he&lt;br /&gt;
went away, and came to the castle where the fairy lived. He was&lt;br /&gt;
amazed to see that the fairy lived, and how she really did&lt;br /&gt;
work, and how he should learn how to speak. Then he went into the&lt;br /&gt;
forest, and in a short time he was&lt;br /&gt;
already in the company of all those who had ever seen a&lt;br /&gt;
creature, and had a keen idea of how it spoke. At the very&lt;br /&gt;
beginning&lt;br /&gt;
&lt;br /&gt;
And they lived happily ever after upon the green&lt;br /&gt;
and the cherry-dwarf, and the little grey man began to feel a little light&lt;br /&gt;
and to see that there was some good in the flowers. So he&lt;br /&gt;
dragged in a little grey mouse, and there sat a stable-boy, who took&lt;br /&gt;
children and put them into it, and took care not to wake or go&lt;br /&gt;
away. The little grey boy soon showed himself and left the house,&lt;br /&gt;
trotting about and hopping about in the trees, and he was soon brought up&lt;br /&gt;
again, and again left, and now everything was as before said. The little grey&lt;br /&gt;
boy also pleased himself a great deal, and he set himself a very heavy&lt;br /&gt;
task, and as he slept he opened the window and wept very much,&lt;br /&gt;
and every moment he felt very happy and well. In the morning the little&lt;br /&gt;
grey boy then went to him and said: ‘Now you must do me a very good&lt;br /&gt;
turn, take care of me, I will do you a good turn.’ So he took off his&lt;br /&gt;
window-dwarf, put on his grey coat, and went out into a green meadow. There&lt;br /&gt;
was a great deal of fighting in the meadow, and when the little grey boy&lt;br /&gt;
rested he swam off and let the white corn fall on his face and his nose and&lt;br /&gt;
his throat. Then he was very thirsty and thirsty, and when he passed by&lt;br /&gt;
the nurse who was his caretaker, she welcomed him and said: ‘Dear son,&lt;br /&gt;
I am thirsty, drink me a draught.’&lt;br /&gt;
&lt;br /&gt;
He consented, but when the nurse there was she said: ‘No,&lt;br /&gt;
she has been drinking ill-fated days too.’ ‘You have been waiting&lt;br /&gt;
there for nothing,’ answered he, ‘what you bring with you is not needed. I will&lt;br /&gt;
give you a drink.’&lt;br /&gt;
&lt;br /&gt;
The young man was greatly pleased with his drink, and soon brought his&lt;br /&gt;
druce back again, and said to the nurse: ‘I have taken away your thirst,&lt;br /&gt;
and you have sat still among children and watched over them, what has&lt;br /&gt;
happened?’ ‘Ah, no!’ answered the nurse, ‘what I have done has&lt;br /&gt;
been done to my poor son.’ ‘Your thirst is great, and you have been&lt;br /&gt;
watching over him,’ and he answered: ‘He has been ill-fated both times&lt;br /&gt;
and I have had the apple dropped on his head.’ ‘What then is his trouble&lt;br /&gt;
?’ ‘He has been ill-luckily ill-fated the whole of his life, and&lt;br /&gt;
for some time I have been taking medicine to cure myself. I have been&lt;br /&gt;
watching him with great care, and it has not helped him much.’&lt;br /&gt;
&lt;br /&gt;
Now the gardener heard all this and wanted to help. He called his&lt;br /&gt;
boyfriend, who was well into his thirties, and said: ‘Gawker, what are you&lt;br /&gt;
doing there?’ ‘I have been watching him closely,’ answered he, ‘he has been ill&lt;br /&gt;
and sick for some days, and I have been prescribing a very effective&lt;br /&gt;
salt and pepper to him.’ ‘What does he want with all this?’ said the&lt;br /&gt;
gardener. ‘He has been ill-luckily ill-fated in his whole life, and I have&lt;br /&gt;
been prescribing one kind of wine after another for his trouble, and he has been&lt;br /&gt;
doing just that every day.’ ‘Enough of his foolish ways,’ said the&lt;br /&gt;
gardener. ‘Now I will give him a glass of wine.’ ‘That would be a fine thing,&lt;br /&gt;
but how can you be so foolish?’ said the little grey man. ‘Do you&lt;br /&gt;
know what he is doing there?’ replied the little grey man. ‘He is&lt;br /&gt;
following his betrothed, and wants to marry a young princess.’ ‘Oh,&lt;br /&gt;
surely he is looking to get a good dowry,’ said the little grey man.&lt;br /&gt;
‘I would be much better off with a maiden born to good parents.’&lt;br /&gt;
Then the little grey man went away again on his way. ‘You are off!’&lt;br /&gt;
cried the miller. ‘What a fool I have been!’ cried he, and ran away&lt;br /&gt;
scattered about the grass and the fields and the like. ‘There he is,’&lt;br /&gt;
said the miller to his wife, ‘running about in the fields and the like&lt;br /&gt;
him peeping into the ear of the child on which he is feeding.’ The child&lt;br /&gt;
was immediately mute, and did not know what to say to this!&lt;br /&gt;
&lt;br /&gt;
Then the father said, ‘That is not my little cat,&lt;br /&gt;
that is the devil!’ The child answered, ‘It is the other’s,’ and went away to&lt;br /&gt;
the dark forest. There he laid himself down, and in some sad sleep he&lt;br /&gt;
slept out in a lonely place, and his mother would not open the door,&lt;br /&gt;
for it was so lonely that there was no light of any kind seen&lt;br /&gt;
there. Then he wandered off quite sorrowful and sleep-deprived, and he&lt;br /&gt;
took to the road again the way of his youth.&lt;br /&gt;
&lt;br /&gt;
Meanwhile the wolf ran at night through the wood to the sea, where&lt;br /&gt;
he stuck out his snoring. When the sea pored with its ears and&lt;br /&gt;
its nose and its feet, it chirped and chuckled, and if the little man heard&lt;br /&gt;
that, it sounded like the wolf singing in his ear. So when the wolf&lt;br /&gt;
was no longer in the water, the small dog with the long tail and the&lt;br /&gt;
long hair, and the wolf seemed more at home there, barking and chirping,&lt;br /&gt;
and smiling thereon as if he were on a great show. When the tailor&lt;br /&gt;
saw these two men dancing on the shore, he got up and called to&lt;br /&gt;
them, and they answered, in a kind of jest, that they did not know what&lt;br /&gt;
good music was to be had in the end. ‘Good music,’ said they, ‘the devil&lt;br /&gt;
knows no tune better than that.’ The tailor went away saying: ‘Now you have&lt;br /&gt;
got what youaker until it is time to dance, come with me and we&lt;br /&gt;
dance.’ The music they brought were quite right; and when the little man&lt;br /&gt;
danced he was dancing with him, and not with the tailor who was&lt;br /&gt;
dancing with him.&lt;br /&gt;
&lt;br /&gt;
Then the wolf took leave of him, and drove himself to the spot&lt;br /&gt;
where he sat in the wood, and began to jest with them; but they let&lt;br /&gt;
him go, and caused him to be awakened by day, which was&lt;br /&gt;
in the evening. As he jogged off on his way thither, he called out to&lt;br /&gt;
himself: ‘Look, old knave, how lonely it is to be with my&lt;br /&gt;
newers--it is a pity to think that anyone can make the best&lt;br /&gt;
sounds.’ He jogged on as bright and as boldly as he could, and&lt;br /&gt;
began to jest with them; but they let him go for good, and let him&lt;br /&gt;
take leave of him, as he pleased. Then he jogged on again a little way&lt;br /&gt;
till he came to the house of a very rich man, who had three daughters&lt;br /&gt;
who were engaged to see the king. The wolf wanted to take her away&lt;br /&gt;
as a token that he loved her, so he summoned up a church, and&lt;br /&gt;
condemned the rebels who were standing in it by chains. The&lt;br /&gt;
dead girls heard this, and cried out, ‘We will not lose her!’ As they&lt;br /&gt;
stood in wait until the judge was afar off, and jogged by a stone&lt;br /&gt;
bridge, he suddenly seized the last vestige of their innocence, and&lt;br /&gt;
took them both prisoner and free; and the third, who was in&lt;br /&gt;
wait upon the church, escaped by cutting open its lid. But the old&lt;br /&gt;
witch, who had been saved by the power of her secret, crept&lt;br /&gt;
thither and opened the door for her master, to bring about the&lt;br /&gt;
justice and happiness of her plan. The old witch, therefore, was&lt;br /&gt;
always on the lookout-light, and at twilight went down into the&lt;br /&gt;
wood.&lt;br /&gt;
&lt;br /&gt;
Every morning she went to the church to light her candle; then she&lt;br /&gt;
upbraided the poor murderers, and prayed them one of their ways or&lt;br /&gt;
another away, until they confessed their guilt, and would go to Heaven.&lt;br /&gt;
But the poor girls said, ‘The devil wants to take us all away!’ Then&lt;br /&gt;
the old woman said, ‘What good is that when one of us is lost in&lt;br /&gt;
a forest, and another comes and sings about the same thing?’ ‘The old witch,’&lt;br /&gt;
 replied she, ‘may as well be true to one song; I saw her do it once&lt;br /&gt;
for all; she killed the first and brought back the second.’&lt;br /&gt;
&lt;br /&gt;
When evening came and the old woman was gone, she went to the forest&lt;br /&gt;
which served as her home and cried out as loud as she could, ‘I will&lt;br /&gt;
take all you witches away, and then they will be grieved for and happy&lt;br /&gt;
thoughts.’ And there she was buried.&lt;br /&gt;
&lt;br /&gt;
As she was passing by in her golden necklace, she saw a beautiful&lt;br /&gt;
lion with shining eyes and a hoarse loud cry. ‘Ah! what a lucky thing! she saves us all!’ thought she, and&lt;br /&gt;
sighed greatly: ‘It is a pity to see you so miserable, and yet so happy!’&lt;br /&gt;
But Gretel was still too sad, and did not speak. Nor was she to be thought of,&lt;br /&gt;
as the lion, but as the little grey old fox, laboring under the cold and&lt;br /&gt;
horrible weather, always seemed to get on better and stay with us. Nor was she to be&lt;br /&gt;
held with any suspicion, however great, nor was she to be blamed.&lt;br /&gt;
We followed the little grey fox, who, when he had eaten so much&lt;br /&gt;
that he could no longer stand the cold air, sat down in a corner, and&lt;br /&gt;
listened. Then he croaked: ‘Good morning, mother! Good morning,&lt;br /&gt;
what have you got?’ and his eyes looked quite fixed on the little grey fox,&lt;br /&gt;
and his ears flicked up and down with the wind. Then he called out to&lt;br /&gt;
him: ‘Good day, good day, brother, as you are coming home from the drive-in,&lt;br /&gt;
you have brought with you a very valuable loaf of bread, which I have girded&lt;br /&gt;
for the well, and have brought with you with the Arrow of Life, to show it to the&lt;br /&gt;
others where it hung.’ The little grey fox answered: ‘Thank you, brother, for your&lt;br /&gt;
lace of bread, it has served me well enough for a long, long, long time.’&lt;br /&gt;
‘Do give it to me,’ said the little grey fox, ‘if, when you come home, I will&lt;br /&gt;
also carry it home with you.’ Then the little grey fox stretched out his&lt;br /&gt;
ear and the loaf of bread was carried home with the little grey fox, and the little grey&lt;br /&gt;
fox looked at it, and said: ‘Now I have all the riches of the land in my&lt;br /&gt;
hands, and I can now harness the power of the unknown to my own.’&lt;br /&gt;
&lt;br /&gt;
The little grey fox said: ‘You may not be a little grey fox, brother! You&lt;br /&gt;
must be a very beautiful little fox.’ ‘Never mind,’ said the little grey fox. ‘I&lt;br /&gt;
will give you what you will,’ said the other. ‘Then what do you become?&lt;br /&gt;
What does your duty require?’ said the little grey fox. ‘I shall serve you&lt;br /&gt;
uphence it shall be done.’ The fox at last made the best of his way,&lt;br /&gt;
met the little grey fox, and said: ‘Good day, good morning, brother. How are you?&lt;br /&gt;
How are you doing?’ And the fox was very glad, and said: ‘I have&lt;br /&gt;
worked hard, and will do all I can to get by you.’ Then the little grey fox&lt;br /&gt;
met the little grey fox, and said: ‘I am very fond of doing everything, and&lt;br /&gt;
however, what I can&#039;t get enough of.’ So they went out of&lt;br /&gt;
the forest, and sat down to the table, but the little grey fox did not&lt;br /&gt;
stop to look at them. ‘How easy it is,’ said he, ‘to get by without much&lt;br /&gt;
fare.’ They took him away with them, and now he was in great need of&lt;br /&gt;
food.&lt;br /&gt;
&lt;br /&gt;
He picked up two or three pieces of bread, and made the best of them,&lt;br /&gt;
but how they were to be shared? ‘Let us just eat one every&lt;br /&gt;
time,’ said the little grey fox. ‘I will do that.’ When they were all&lt;br /&gt;
eaten, he said: ‘Bless me! I have plenty of good salad to give you.’&lt;br /&gt;
So he brought the two pieces of bread with him, but how could he to&lt;br /&gt;
get the salad that was in his mouth? ‘Ah!’ said the little grey fox, ‘I may&lt;br /&gt;
give you some of my cakes, but they must be given me first to get the honour of&lt;br /&gt;
eating them.’ ‘Then let us sit down first,’ said the little grey fox. ‘I will&lt;br /&gt;
give you one salad a day,’ said the other; ‘say, “Cake for me, it is&lt;br /&gt;
must be eaten tomorrow.’ ‘If that pleases you,’ mightily&lt;br /&gt;
grininess prevailed, and they were soon brought up to. ‘When do you like&lt;br /&gt;
things ready?’ asked the fox. ‘I like to sit at home, but I also like&lt;br /&gt;
to lie down by the fire and rest until  it is very hot.’ The waiting-maid replied: ‘I should be very lonely, if I did not have any money.’&lt;br /&gt;
The fox called out: ‘I am very lonely, milady! I have not had any money my whole life! I was born into a very rich family,&lt;br /&gt;
and have had some money taken away from them by the old--bribes!--government. I was therefore seized with great fondness, and&lt;br /&gt;
cried out: ‘You who read what I have written about your father, mother, and brothers must have heard it all; I do not want any&lt;br /&gt;
more!’ But her father, mother, and brothers were in such fear that they fell off without aisles, and lay in the street and were&lt;br /&gt;
terribly frightened. ‘Ah! you!’ said they, ‘what do you want with your brothers?’ But the little fox said: ‘I have&lt;br /&gt;
all the answers, all the wisdom of all the good men; they are to be saved; and there is no better way to do it than by&lt;br /&gt;
a way of knowing what the price of silver will be.’ So they went straight into the market-place, and at the middle of&lt;br /&gt;
every street there stood at the top of a crown of gold or a pin of silver, who knew all the signs and signs of the&lt;br /&gt;
price of silver, and would have known what it was to be.&lt;br /&gt;
&lt;br /&gt;
But as the little fox was getting ready to set out upon his journey, he heard the sound of&lt;br /&gt;
voices and things driving round his house, and he went very fast on.&lt;br /&gt;
&lt;br /&gt;
At last he came to a city, where a gang of robbers lived and work in great fear;&lt;br /&gt;
and as they were so anxious that they went into the homes of their fellow-creatures,&lt;br /&gt;
and looked for wares, and would not take buyers, they killed, robbed, and crucified&lt;br /&gt;
all who stood in their way. Then, though it was not known whether the men in black&lt;br /&gt;
had been at the same place, or had been, or whether they have been, gang members,&lt;br /&gt;
were still at large.&lt;br /&gt;
&lt;br /&gt;
The little fox went forth, and as he passed by a pigsty, another, who gave him no particulars,&lt;br /&gt;
he said, ‘That is another’; and at the bottom of the sty was a chest full of gold, which he took&lt;br /&gt;
to be from the first sale. ‘Third place!’ said the little fox, ‘that is a great haul!’ Tattersall said, ‘that is a great haul!’&lt;br /&gt;
&lt;br /&gt;
‘Top,’ replied he, ‘fourth,’ ‘is somebody who has a little to eat and a drink to drink.’&lt;br /&gt;
&lt;br /&gt;
‘That would be a fine thing for four,’ said the other; ‘for if that little fox in the pigsty were to be caught, all four of us would be lost.’&lt;br /&gt;
&lt;br /&gt;
The little fox grew very thoughtful as he thought about it, and at last said, ‘Five, if that little fox be able to set out and discover the secret of the golden tongue.’&lt;br /&gt;
&lt;br /&gt;
The little fox spent the whole day looking for the tongue, and then went out of the sty,&lt;br /&gt;
and either sat down under a tree, or jumped into a cask stuck to a pipe. When it was cold,&lt;br /&gt;
and he could get no breath, he stood looking at it for a while, and at the end of the day&lt;br /&gt;
he had a golden tongue. Then he went to bed and at the same time began to be very&lt;br /&gt;
thoughtful and good-humoured to his wife.&lt;br /&gt;
&lt;br /&gt;
But the next day he began with a little toenail in the air, and she bethought herself&lt;br /&gt;
of this and the other, and undertook to have them placed in a cask in the snow? ‘Yes,’&lt;br /&gt;
thought the little fox, ‘but Snowdrop must go first.’ ‘I hate to say it,’ answered the wife,&lt;br /&gt;
‘but she is so heavy, and can’t stand to be with someone who is not their own.’ So the wife&lt;br /&gt;
obliged her, and seated her in front of the old cask, and took Snowdrop with her. From that&lt;br /&gt;
time forth, Snowdrop would take both Snowdrop and the fox with her, and always the fox would&lt;br /&gt;
run after them, and the little fox would wait outside the house to watch what the little&lt;br /&gt;
fox would do with them. This only served to strengthen the old fox, who at any rate could&lt;br /&gt;
not be set free, and was obliged to work for the king.&lt;br /&gt;
&lt;br /&gt;
When the king’s daughter was still a child, and Snowdrop was just entering her second year,&lt;br /&gt;
she went into her room and prepared a large jug full of wine. The wine was to be found in&lt;br /&gt;
the chamber by the half-naked woman; but Snowdrop knew that her treacherous husband was&lt;br /&gt;
not at home, and would not see where she was lying, so she took a draught, and went into&lt;br /&gt;
her chamber: but her husband fell asleep, and she drew the jug from the cup, and drew it&lt;br /&gt;
up, and set the jug on the bed, so that the sleeping Snowdrop might lie down, and then&lt;br /&gt;
she would have her revenge.&lt;br /&gt;
&lt;br /&gt;
When she had fallen asleep, she stirred her cup, and as the wine was so sparkling, she&lt;br /&gt;
thought that it might be a signal to drink a draught. So she stirred it again, and when&lt;br /&gt;
the wine was just reaching its full volume, she thought that it was only a reflection of&lt;br /&gt;
her Grief, when it struck: so she let the cup run out of she’s reach, and stood looking&lt;br /&gt;
on for hours, and then an hour passed away, and again nothing but reflection and reflection&lt;br /&gt;
of her Grief passed through her veins, until at last she washed away into the sea, where it&lt;br /&gt;
licked and scented the salt.&lt;br /&gt;
&lt;br /&gt;
When she came to the bottom of the sea, she saw a bright blue light, and as she passed&lt;br /&gt;
by and saw that it was the princesses, she thought: ‘It must be the sea, for it seems&lt;br /&gt;
blue to her.’ However, she passed on, and after waiting till the night was over, she&lt;br /&gt;
ascended the ladder which led up to the great sea, and there she saw her husband,&lt;br /&gt;
who was in his thirties, with his four sons, and this made him a mighty king.&lt;br /&gt;
&lt;br /&gt;
After she had pleased him, she laid herself down to sleep; but as the early morning&lt;br /&gt;
sun shone upon the sea, and the moon began to rise, she felt as if she were at a&lt;br /&gt;
loss for an explanation, and began to be sobs and groaning throughout.&lt;br /&gt;
&lt;br /&gt;
By the time she reached her bed, however, the sun had melted into the sea,&lt;br /&gt;
and she was safe and satiated again.&lt;br /&gt;
&lt;br /&gt;
At noon, as she was getting ready to leave her husband, he called to him,&lt;br /&gt;
‘Sir, and would you please lie down by the sea-shore?’ ‘Yes, sir,’ replied&lt;br /&gt;
he, ‘if you would do me part of my journey home, and do as I instruct you.’&lt;br /&gt;
As he was to take leave of his three sons, and therefore of their three&lt;br /&gt;
daughters, they all agreed that he should, in their sorrowful hope,&lt;br /&gt;
be released from the spell that bound them, and thus be a free woman.&lt;br /&gt;
&lt;br /&gt;
When they came to the sea, the princesses had just come home; and as they were going out into the&lt;br /&gt;
water, a gold ring was thrown at them, and when they looked at it they&lt;br /&gt;
could not help admiring the golden ring; but they had been so much&lt;br /&gt;
feared that they would never come back again. At this the eldest thought: ‘The&lt;br /&gt;
rogue father is going to hell; I cannot let him be homeost again to his&lt;br /&gt;
children.’ So he called his wife, and said: ‘Wife, thou&lt;br /&gt;
most beautiful child! I would so gladly have had thee, as the princesses had&lt;br /&gt;
given thee; but alas! alas! to hell with thee!’ Then he was burnt at&lt;br /&gt;
he wheel, and when he tried to free himself by the pool, and fell down&lt;br /&gt;
dead, crying: ‘What have I done which makes me think thou shouldst be&lt;br /&gt;
hung down?’ But the wife said: ‘Heaven’s will will,’ and was very glad&lt;br /&gt;
to know what disposition there was in the husband to give such a wish, and&lt;br /&gt;
when it was fulfilled, he was sole heir to the kingdom.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Then they went to celebrate the wedding of their betrothed, and as they went&lt;br /&gt;
inside, a large oak-tree rose up to the top, and the court where they&lt;br /&gt;
wedded were all in row four, with seven children. The princesses&lt;br /&gt;
watched this and would not be idle; so they laid themselves down&lt;br /&gt;
darefully, and said: ‘Children, shall we be married?’ Then they turned&lt;br /&gt;
back, and the next day the princesses went to the king, and told him&lt;br /&gt;
that they would be hundred and one children. Then the king said, ‘I have&lt;br /&gt;
great faith that you will one day set me free,’ and he set out in a&lt;br /&gt;
search for children as old as his eyes, and as old as his heart.&lt;br /&gt;
 And as he had children, he never looked to the very beginning,&lt;br /&gt;
but began to look back and say: ‘Seven children , what have they told me?’&lt;br /&gt;
&lt;br /&gt;
Then the man’s father said to him: ‘Now you must.’ ‘What does that matter?’&lt;br /&gt;
said the boy. ‘It is quite simple. If you have a good heart, and love your brothers,&lt;br /&gt;
you will do everything in order that they will feel loved. If you are lazy, and wish to&lt;br /&gt;
be a baker, for example, you will do that; but, if you are a musician, you will&lt;br /&gt;
do that too. Just think, however, if you could make yourself any other kind of&lt;br /&gt;
bakersing than wood; from which you could have your wooden hut.’ The man&lt;br /&gt;
liking to think it would take some skill to his understanding how the seven&lt;br /&gt;
children felt about that. ‘Just think,’ said the boy, ‘how I could get into&lt;br /&gt;
there and not know how.’ He made a light journey, three days and three&lt;br /&gt;
trials, until he came to the village where he met the man. ‘See,’ he&lt;br /&gt;
thought, ‘how I could get into the oven and not know how?’ ‘Come,’&lt;br /&gt;
said the poor man, ‘what will become of me?’ ‘Just think,’ replied the&lt;br /&gt;
poor man, ‘what would become of me?’ ‘Read,’ said the poor man, ‘I say, that the&lt;br /&gt;
man who is living and making the bread is my father.’ ‘Oh, father,’ said the&lt;br /&gt;
poor man, ‘you have been good and have been my friends for many years, so I&lt;br /&gt;
will never have anything in common with you less than you have been.’&lt;br /&gt;
‘I will,’ said the poor man, ‘change my mind, and let me at once go in&lt;br /&gt;
and live with my father in a beautiful town.’ Then the poor man&lt;br /&gt;
became a poor man and married the man who was living in a castle;&lt;br /&gt;
and when they came to the wedding feast, the father was taken with the&lt;br /&gt;
children and was forced to give up his golden spectacles every time he gave&lt;br /&gt;
away. Poor Hans was forced to keep his mouth shut when he gave away a&lt;br /&gt;
large prize; and, having played with the stones, said, ‘The children&lt;br /&gt;
will have to do likewise.’ Then the other children gave him a box&lt;br /&gt;
and a ring, and he was forced to put it on his finger and unwind.&lt;br /&gt;
When he was grown up, it was now allowed to roam about the castle&lt;br /&gt;
and was often said that he was the most clever child in the whole&lt;br /&gt;
world. This thought upset the old man, and he would not take it&lt;br /&gt;
against his will.&lt;br /&gt;
&lt;br /&gt;
Then the children said, ‘Well, father, we will just have fun and have a&lt;br /&gt;
gone past.’ They made a wish, and as they were sitting&lt;br /&gt;
together they held up their hands together in a gesture of thanksgiving,&lt;br /&gt;
and said, ‘Children, we will have a wonderful merry age. All the good&lt;br /&gt;
spirits will be invited, and all the rich children will be brought&lt;br /&gt;
up and brought up together, and all the craftsmen will be merry and&lt;br /&gt;
rich, and all the children will be brought up and brought up with us; and all&lt;br /&gt;
one must pass on before the end of the month next; and so it was for a&lt;br /&gt;
little prince.&lt;br /&gt;
&lt;br /&gt;
Now the wish was fulfilled, and Hans was born.&lt;br /&gt;
&lt;br /&gt;
He was well looked after, and at home he began to earnestly pursue his&lt;br /&gt;
 dreams. And one day as he was walking the old gendarme was sitting&lt;br /&gt;
here by the way and was making his way through a forest, and Hans heard a&lt;br /&gt;
little kid with red hair and a red cap jumping up and down in&lt;br /&gt;
the air, and said, ‘That is my little kid, the one you are seeing here&lt;br /&gt;
sitting up there in the forest.’ ‘That is my little kid,’&lt;br /&gt;
said the old gendarme, ‘same is true for every other kid in the&lt;br /&gt;
forest. Look at what he has there. He has red hair, like the&lt;br /&gt;
red kids on the road, and when he sees them he&lt;br /&gt;
will jump up and down, but he does not do so again.’&lt;br /&gt;
&lt;br /&gt;
Hans was very glad to see these little kids again, and they were&lt;br /&gt;
sitting up there in the forest and cried out for joy. Then&lt;br /&gt;
the old gendarme said, ‘Hans, you must be very careful with your dreams;&lt;br /&gt;
there is much that must be done. The first thing you must do is to make&lt;br /&gt;
a bed of moss for the dragon; the second is to make a fire for the meadow&lt;br /&gt;
stool; and, thirdly, make a large cauldron for the dragon; bake him some&lt;br /&gt;
soup, and cook him some meat. But if you do all these little by the same&lt;br /&gt;
way, and are good at all things, you may be a very clever little dwarf!&lt;br /&gt;
&lt;br /&gt;
You may also have learnt what Snow White is called, by her great and faithful&lt;br /&gt;
maidens, the secret to the good fortune of the kingdom: if you have, therefore,&lt;br /&gt;
my consent to make her queen, she may wish me to be her husband and to be her food and drink.’&lt;br /&gt;
&lt;br /&gt;
So they went their way very happily, and when they came to the great city,&lt;br /&gt;
a great noise and noise of all kinds was heard in every street and every&lt;br /&gt;
garden of the true master, and all the people there laughed with laughter&lt;br /&gt;
at this, and at all the arts of the trade they had missed out on.&lt;br /&gt;
&lt;br /&gt;
Snow White was not idle; for one night she went to her little stable&lt;br /&gt;
and bade all the good people there laugh with her; and then they laughed&lt;br /&gt;
at her too, for she had set the golden bed of moss upon it, and slept&lt;br /&gt;
upon it for a long time.&lt;br /&gt;
&lt;br /&gt;
Next morning when the king’s son came and brought her back with wine and&lt;br /&gt;
food, she fathered a son with her little stable, and said to them, ‘My court,&lt;br /&gt;
there is not one man who has not the temperament to be my queen. If that is&lt;br /&gt;
the case, I will have you inherited with me, and be my wife and mother to&lt;br /&gt;
all my descendants.’ They thought this very cool and right advice; and after&lt;br /&gt;
a time they thought they had no other sons to take their places in the court&lt;br /&gt;
about with us.&lt;br /&gt;
&lt;br /&gt;
So we are now settled into a house in this castle, and have been for some&lt;br /&gt;
time settled into it, as it were a very large room, with a very large clock&lt;br /&gt;
in it, and a very large ring on it. In the middle of the door there is a&lt;br /&gt;
little door that will open when the king comes in, and closes when he is&lt;br /&gt;
not in the room. In the kitchen there is a large jug with live fish upon&lt;br /&gt;
it, and in the cupboard there is a knife with a golden nail in it. In the&lt;br /&gt;
stairwell after the kitchen there is a little room, with a golden apple in&lt;br /&gt;
it, and in the bottom of the cupboard there is a dresser with diamonds in it.&lt;br /&gt;
&lt;br /&gt;
In the chapel there is a small room with a chest of gold in it, and in the&lt;br /&gt;
clockboard there is a note with nine diamonds in it. In the tower there is&lt;br /&gt;
a golden apple in it, and on the outside of the cupboard there is a dresser&lt;br /&gt;
with diamonds in it. In the chapel there is a golden apple in it, and on the&lt;br /&gt;
outside of the cupboard there is a dresser with diamonds in it. In the chapel&lt;br /&gt;
there is a golden apple in it, and on the outside of the cupboard there is a&lt;br /&gt;
dresser with diamonds in it. In the chapel there is a golden apple in it, and&lt;br /&gt;
on the outside of the cupboard there is a dresser with diamonds in it. In the&lt;br /&gt;
chapel there is a golden apple in it, and on the outside of the cupboard there&lt;br /&gt;
is a dresser with diamonds in it. And so on. And thus we have settled into our&lt;br /&gt;
dear little house, and are very happy indeed.&lt;br /&gt;
&lt;br /&gt;
But we are now to live and to work here as hard as we can; and,&lt;br /&gt;
as we have full employment, we shall be very much obliged to&lt;br /&gt;
keep the household fast.&lt;br /&gt;
&lt;br /&gt;
The two bed-dwellers slept in such a manner that the whole forest&lt;br /&gt;
appeared to them quite separate and unknown to anyone. One of them&lt;br /&gt;
actually was an old grey bear, which the bear had saved up for home, by&lt;br /&gt;
hunger, and which the town was not aware of. He had been forced&lt;br /&gt;
to work for the mill, and when he had to go out again he would be&lt;br /&gt;
forced to repeat every time as it was, as though he would never be able to get&lt;br /&gt;
anything back again. This forced labour was the reason why no one came&lt;br /&gt;
back from the edge of the forest, and why there there was no one to&lt;br /&gt;
help the miller out there again. This was the very reason why no one&lt;br /&gt;
dodored the other.’&lt;br /&gt;
&lt;br /&gt;
This, too, had happened before in the olden time, when the little grey&lt;br /&gt;
bear had to go into the forest to get ready for work; and thus&lt;br /&gt;
the town was left to itself. In the meantime the bear&lt;br /&gt;
has had enough of the town, and built a nice little town there; and&lt;br /&gt;
there he goes again, and everyone who goes there has a share in the&lt;br /&gt;
good fortune.&lt;br /&gt;
&lt;br /&gt;
Now the miller’s house is quite a palace, and it was once a good&lt;br /&gt;
house wherein the old grey bear had much to do. When the old grey&lt;br /&gt;
bear had gone out, he took a carriage out of his pocket, and&lt;br /&gt;
put himself in the carriage and drove away his wife and all his&lt;br /&gt;
children. Now the carriage was equipped with a spindle, and when the&lt;br /&gt;
old grey bear was gone, he began to set up a challenge upon the wall,&lt;br /&gt;
in which he wished each child to come up to him and dream of his&lt;br /&gt;
lion-like form. When all were ready, he went to the bed and pulled the&lt;br /&gt;
shew out, and said: ‘Now, child, what will you dream of?’ ‘My child,&lt;br /&gt;
lion-like form, I will fly and devour the whole of the&lt;br /&gt;
world, I Pettigrew!’ cried he. And the maiden awoke, and in her&lt;br /&gt;
dream she said: ‘Oh, how weary I am, how miserable I am to sleep!’&lt;br /&gt;
And he slept soundly, but not till it became very dark. Then the&lt;br /&gt;
shew came creeping up on the man, and as they were thus near,&lt;br /&gt;
she said to him: ‘Lay your hand upon my knee, and beg that I shall&lt;br /&gt;
sleep peaceably with you.’ They agreed to that, and he awoke as if&lt;br /&gt;
every morningTurn round and went to bed. Then he dreamt three times&lt;br /&gt;
and was still asleep when he heard three ravens calling out from under the&lt;br /&gt;
tree. ‘Lay your hand upon my knee, and beg that I shall go to my father&lt;br /&gt;
and uncle for something to drink.’ He felt a little uneasy, and pushed his&lt;br /&gt;
wife towards him. Then the ravens said: ‘What are you shouting at&lt;br /&gt;
your dear little son? Do you wish that we should live in fear and wait&lt;br /&gt;
for you, then and only.’ So they did what anyone would do. He dreamt&lt;br /&gt;
three more times that he was lifted up, stretched, and led, and then he&lt;br /&gt;
began to speak, and the three ravens led him up a mountain, and then to&lt;br /&gt;
a high place. He heard bells ring at four o’clock in the morning, and&lt;br /&gt;
when he turned round and looked at the bells, they were all ringing. He&lt;br /&gt;
still thought he saw a bearded man standing at the top of the&lt;br /&gt;
mountain, but he could not see him. At four o’clock the ravens come&lt;br /&gt;
up the second (who was like a mighty wolf to his right and left), and threaten&lt;br /&gt;
to kill him if he does not give them food and lodging. At&lt;br /&gt;
four o’clock the man says, ‘I will give you no food, but a sleeping&lt;br /&gt;
sleeping bag for me.’ At four o’clock the woman says, ‘I will give&lt;br /&gt;
you to anyone who will help you, and will do anything to&lt;br /&gt;
suffer you to death.’&lt;br /&gt;
&amp;lt;/nowiki&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo2019_Final_Text&amp;diff=2496</id>
		<title>NaNoGenMo2019 Final Text</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo2019_Final_Text&amp;diff=2496"/>
		<updated>2019-11-30T04:30:22Z</updated>

		<summary type="html">&lt;p&gt;Chip: Copy paste of &amp;quot;AI&amp;quot; generated text for NaNoGenMo2019&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;‘What do you desire?’&lt;br /&gt;
&lt;br /&gt;
‘I want to become a powerful giant.’&lt;br /&gt;
&lt;br /&gt;
‘What do you ask?’&lt;br /&gt;
&lt;br /&gt;
‘I want to become a lord of some great city.’&lt;br /&gt;
&lt;br /&gt;
‘What do you ask?’&lt;br /&gt;
&lt;br /&gt;
‘I want to become a king.’&lt;br /&gt;
&lt;br /&gt;
‘What do you ask?’&lt;br /&gt;
&lt;br /&gt;
‘I want to become a king.’&lt;br /&gt;
&lt;br /&gt;
‘What do you give?’&lt;br /&gt;
&lt;br /&gt;
‘5,000 horse, or whatever it is you wish to have.’&lt;br /&gt;
&lt;br /&gt;
He took a horse which was good and simple, and put it into a manger.&lt;br /&gt;
When it was ready to be ridden, it was forced to work, and when the horse could no&lt;br /&gt;
longer get upon the road, it began to be gored, and soon fell down in&lt;br /&gt;
pain. Then Clever Hans said, ‘I see no man who is bigger than I am, and would&lt;br /&gt;
have nothing to do with another horse.’ So the mangroom was at once frightened,&lt;br /&gt;
and said, ‘Hark ye, my friend! I will soon find a way out of this.’ So the horse&lt;br /&gt;
was found, and soon found a man. ‘Well,’ said the old man, ‘we will try for once.’&lt;br /&gt;
After a time he agreed to try what he wished. Then he saw a little horse&lt;br /&gt;
which he thought was very strong, and wanted to ride away. But the old garter&lt;br /&gt;
said, ‘You shall soon find a strong man to set you on a strong horse.’ So he&lt;br /&gt;
gave him strength, and he soon set him back on his own. Then he looked about&lt;br /&gt;
and saw that the country was mountainous, and the mountains were round about&lt;br /&gt;
them. ‘I see a kingdom already,’ said he, ‘and I wish I could find a way across them,&lt;br /&gt;
if you will do as I tell you to begin with.’ So he rode away; and then he&lt;br /&gt;
stayed the whole distance long enough to find and find the right man. But the old&lt;br /&gt;
garter told him how to go to a wise God, and should, when he pleased,&lt;br /&gt;
be called by name. Likewise the two married Grete followed his advice, and&lt;br /&gt;
married Ileudann.&lt;br /&gt;
&lt;br /&gt;
When they came to the hill where they had set aside, they lighted the fire&lt;br /&gt;
and drank of a cup which they had brought from the forest. When all was&lt;br /&gt;
light they went to their father and set to work, cutting wood,&lt;br /&gt;
but Grete put her finger to her lips and said, ‘If you will do&lt;br /&gt;
that, I will not be late.’ Then her husband was obliged to keep&lt;br /&gt;
himselves busy, and they went their way very together.&lt;br /&gt;
&lt;br /&gt;
After a time there was another feast, and when they came to the&lt;br /&gt;
hill where they had set aside, there stood a young woman, who took&lt;br /&gt;
care to be as bright and cheerful as she could be, and went about&lt;br /&gt;
the hill with a white handkerchief in her bosom.&lt;br /&gt;
&lt;br /&gt;
Then she went into her little cabin, and handkerchief fell into&lt;br /&gt;
the cup, and she never once put her finger to her lips to&lt;br /&gt;
speak of it; but every once in a while she did so, to her&lt;br /&gt;
great liking.&lt;br /&gt;
&lt;br /&gt;
She wanted to run away with the man, but he stopped her when she&lt;br /&gt;
came to the hill, and said, ‘If I can get over there, you&lt;br /&gt;
may try and make use of my legs.’ So she ran away quickly to&lt;br /&gt;
the other side of the hill, and sat down by the fire and tried to&lt;br /&gt;
try and get over there. But the old garter said, ‘Do you think you&lt;br /&gt;
will be easy with that?--you must learn how to stir?’ So she&lt;br /&gt;
sought the best way, and found a way under the table. Then she pulled out&lt;br /&gt;
the white handkerchief, and put it into the cup, and as soon as&lt;br /&gt;
you were drinking it you were thirsty too. But the old garter&lt;br /&gt;
was not so well pleased with you as he had been with the&lt;br /&gt;
peasant, and said, ‘You have been let into a little cabin, you&lt;br /&gt;
must learn how to stir--that you never will be easy about this.’&lt;br /&gt;
So you must learn to stir with your hands; for you will&lt;br /&gt;
perhaps be easy enough if you have hands too.’ Then you must keep&lt;br /&gt;
your heads from the hot water, and you must not let the peas&lt;br /&gt;
saladously heated with water get on the fire.&lt;br /&gt;
&lt;br /&gt;
When you have warmed to this, you will see on the walls and in&lt;br /&gt;
the groundspersons that talk loudly.’ Then you&lt;br /&gt;
You&#039;re now in an attic.&lt;br /&gt;
‘Take me out,’ said Hans. ‘And if you are so fond of&lt;br /&gt;
that, come with me to my master.’ ‘With what reason?’ asked the fox. ‘Henceforth&lt;br /&gt;
the fox will say he is because I am so fond of you, and you must be&lt;br /&gt;
some other way?’ ‘Oh, that would be too heavy of a man for my&lt;br /&gt;
table,’ answered Hans, ‘but come with us Master Rumpelstiltskin.’ Hans took&lt;br /&gt;
out Rumpelstiltskin, put two large round stones in front of him,&lt;br /&gt;
and went out to the table and the stones laid hold of each other. ‘&lt;br /&gt;
But the fox was not there,’ said Hans, ‘and the girls did not come with&lt;br /&gt;
their master.’ The fox said: ‘You must be a poor sleeper,&lt;br /&gt;
that can hardly remain idle,’ and went away into the night. When&lt;br /&gt;
he came again it was dark night and all were gone. Then Hans went&lt;br /&gt;
to his master, and said: ‘You have played with my beautiful girls,&lt;br /&gt;
have you not?’ ‘Oh, yes,’ answered he, ‘you have. When I went into&lt;br /&gt;
the room, there was a goose under my pillow, and when I put it on I could not&lt;br /&gt;
get over it, and said: ‘If you would but please,’ ‘Growler, there may&lt;br /&gt;
be some game left in me.’ And the next morning when he was out&lt;br /&gt;
going the door, he carried a goose under his pillow for the boy to&lt;br /&gt;
read about it in. When that was over the goose fell and became a&lt;br /&gt;
fine treat, for the boy learnt how to draw, pick, and cut&lt;br /&gt;
wood, and how to carve.&lt;br /&gt;
&lt;br /&gt;
Hans had also some goose cut in two pieces, at the other side of the&lt;br /&gt;
room, and when he went to draw it up again the stone in which the&lt;br /&gt;
grape fell, looked very beautiful indeed! It was cut into such a way that&lt;br /&gt;
the stairs would have let him in without injury, and he was glad&lt;br /&gt;
to go in at all hours, without any trouble at all.&lt;br /&gt;
&lt;br /&gt;
But when he went to the top of the stairs he fell without injury&lt;br /&gt;
into a saucer. Then he called out: ‘Here, boys, is my slice of&lt;br /&gt;
bread.’ ‘No,’ said the other, ‘it is no good. Here is a slice of&lt;br /&gt;
sausage instead.’ ‘Then let fate take the sausage,’ said&lt;br /&gt;
the fox, ‘for it is cruel and quicksand-violent.’ So the poor&lt;br /&gt;
two boys were forced to eat of holes they had cut open, and were&lt;br /&gt;
forced to eat of it again, and again it made them laugh, and made them&lt;br /&gt;
blatant lies to tell about themselves. One said that it was because he had&lt;br /&gt;
sausages, the other that his mother was a cook.&lt;br /&gt;
&lt;br /&gt;
When the old folks were asleep, Hans went up to them, and once&lt;br /&gt;
said: ‘If you could but shudder if you could but shudder.’ The youngest&lt;br /&gt;
was friendly with him, and said: ‘Heaven forbid that we should shabby&lt;br /&gt;
sleepers!’ But the old folks were silent, and thought Hans must&lt;br /&gt;
be a clever fellow, or they would Notlase’ them. Hans did&lt;br /&gt;
not cry, but sulked with rage and impatience, till at last their&lt;br /&gt;
servant Nunzen came up to him and took him prisoner, and as such he&lt;br /&gt;
was���ASILED.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE FROG-PRINCE&lt;br /&gt;
&lt;br /&gt;
One of the loveliest animals on the whole, docile and happy, was not long&lt;br /&gt;
before it was quite iced in; and as it was so, he pricked a nut with it,&lt;br /&gt;
the unhappy fairy sprang forth, and as she pleased with her little iced&lt;br /&gt;
house, he jumped on to his horse and rode away with it. ‘Well,’ said&lt;br /&gt;
the fox, ‘you have iced my iced iced iced iced iced iced iced iced iced iced iced」&lt;br /&gt;
‘What do you mean?’ ‘Oh,’ replied the fox, ‘I have iced some iced milk, believe me&lt;br /&gt;
it is iced!’ ‘Then what do you mean by iced milk?’ ‘Ah,&lt;br /&gt;
well, I have had some iced milk before, in soup.’ ‘And now you have&lt;br /&gt;
some iced milk,’ answered the fox, ‘because you think I should like to&lt;br /&gt;
have a go at you&lt;br /&gt;
‘What do you desire?’ said he; ‘for&lt;br /&gt;
I do not know who it was that gave me the fire, but I go out&lt;br /&gt;
every morning and look for it myself.’ It was the same kind of&lt;br /&gt;
cow that had been killed at the same place, and was lying there covered&lt;br /&gt;
with his own body.&lt;br /&gt;
&lt;br /&gt;
The little dwarf went his way, and as he passed by the spot where the&lt;br /&gt;
dead cow was, he saw a young goat with her own head, and wondered&lt;br /&gt;
at the fact that the one who had killed the cow should go on&lt;br /&gt;
with the other; but he ran away quickly to his father’s&lt;br /&gt;
country, where he had to wait a long time to find out who had&lt;br /&gt;
whipped out the cow for him.&lt;br /&gt;
&lt;br /&gt;
When the dwarf came to his father, he made him his bride, and&lt;br /&gt;
kissed her, and gave him a stone, and said, ‘You are my&lt;br /&gt;
dwarf, and I will give you everything I can to make you a god.’ Then&lt;br /&gt;
he left the poor dwarf behind him, and went to his father, and&lt;br /&gt;
let him have nothing to eat or drink. Then he laid hold to him, and&lt;br /&gt;
wished him joy of his own way, and said, ‘You shall be my husband&lt;br /&gt;
and wife for ever.’ The little boy soon came, and when he came to the&lt;br /&gt;
chamber where the wedding was to be held, there sat a great many people&lt;br /&gt;
there, who knew not what harm should befall them if they were to be&lt;br /&gt;
married off. Then the wedding-goer said, ‘I will give all my riches&lt;br /&gt;
to be married to a deist, and be they so faithful and true people as you&lt;br /&gt;
are.’ But the father said, ‘You shall be faithful to your children, and&lt;br /&gt;
give them into the hands of a fool who will surely perish.’&lt;br /&gt;
Then they went away a little sadly, but true, to say that they were&lt;br /&gt;
ill-behaved children.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
CLEVER HANS&lt;br /&gt;
&lt;br /&gt;
The mother of Hans said to Hans: ‘You shall live, I pray, till&lt;br /&gt;
your death, and shall have all your wealth and privileges.’ ‘Yes,’ replied&lt;br /&gt;
he, ‘but whosoever shall divide and take away this boon&lt;br /&gt;
from me shall they be punished by fire and blood.’ Ah, yes! said Hans, ‘who&lt;br /&gt;
wouldier-wrens would do wife!’ Then the little man made a sign to all&lt;br /&gt;
his five children, and said: ‘Wife shall do just as you wish.’ All were&lt;br /&gt;
already on their guard against the will of the little man, and&lt;br /&gt;
soon they were.&lt;br /&gt;
&lt;br /&gt;
The eldest thought: ‘Hans, what will this will?’ As soon as&lt;br /&gt;
he was firmly in the habit of living, he went to meet the deist,&lt;br /&gt;
and begged with many prayers for his life. But the deist laughed&lt;br /&gt;
at him, and said: ‘You are such a great fellow, that you cannot even&lt;br /&gt;
dread match us.’ Then he told him all his misfortunes, how he had&lt;br /&gt;
brought the poor woman down with him from the forest, and how he had&lt;br /&gt;
brought home a bad apple. Then he wasrily awaiting his wife,&lt;br /&gt;
and when she came to the door, and saw what a treacherous fellow he&lt;br /&gt;
was, she hoped that he would let her in, and as she did not speak&lt;br /&gt;
or act, Hans said: ‘Just let her in, she shall do for Hans what&lt;br /&gt;
himself shall not do.’ Then she shut the door, and went away.&lt;br /&gt;
&lt;br /&gt;
Hans was so overcome by her good looks, that he forgot all that she had&lt;br /&gt;
done, and ran to the well, filled a cup full of water, and said: ‘Water for&lt;br /&gt;
my children, aught else is needed.’ Then she looked around her and&lt;br /&gt;
saw that there were no more cups to be had in the world, for she did not&lt;br /&gt;
know what was in them. But there were, indeed, but a great many&lt;br /&gt;
there, and many servants, and many plump and plump, every one of whom&lt;br /&gt;
Hans had brought with him. Every one of whom had a golden spoon&lt;br /&gt;
set with golden forks, and when the little ones were ripe, Hans&lt;br /&gt;
would feed them to his little goose. Every one of whom he fed&lt;br /&gt;
Feeded also came with golden hair. When the little ones were&lt;br /&gt;
tired, they laid them on the spot in a bush, and were then very thirsty&lt;br /&gt;
and would not go out till they were satisfied. Ah, what a pretty sight&lt;br /&gt;
for us to behold! We watched as long as we lived, as long as we&lt;br /&gt;
passed through this land; now&lt;br /&gt;
You see an opened spherical locker close by. Empty! What kind of nightmare TextWorld is this?&lt;br /&gt;
I took it upon myself to find out what it was, and as I did&lt;br /&gt;
not like to let my finger get into the lock, I stood still and waited. A few&lt;br /&gt;
minutes it sprang open, and when I pressed the door I was immediately&lt;br /&gt;
stopped. I then saw the crash of glass, and the thud of a little&lt;br /&gt;
axe, but this time I caught the door with my own hand, so that it fell&lt;br /&gt;
down quite quickly. ‘Now, then,’ thought I, ‘let me do&lt;br /&gt;
it yourself; carry the box, and see what happens.’&lt;br /&gt;
&lt;br /&gt;
When the girl came to the door she said: ‘Oh, heavens! then it is&lt;br /&gt;
a good trick, and I will not be mistaken; you will take the box&lt;br /&gt;
and see what happens.’&lt;br /&gt;
&lt;br /&gt;
I told her to think the thing was a trap, and she carried the box;&lt;br /&gt;
but as soon as the night was over she came again to the door, and&lt;br /&gt;
she saw that the door lay immediately below her. ‘Open the door,’ she&lt;br /&gt;
thought, ‘you will find the thorns into the door.’&lt;br /&gt;
&lt;br /&gt;
As soon as the girl had opened the door she came running, crying: ‘Oh!&lt;br /&gt;
God, what a fright I have! I can hardly get out!’ As soon as the&lt;br /&gt;
others had let her go, she sat down upon the floor, and when she saw my&lt;br /&gt;
hands were trembling, and she saw that there was a sharp thud in&lt;br /&gt;
the door, she ran to the closet and took out a Prophet face. ‘Ah,&lt;br /&gt;
it is such a queer face!’ said she, ‘I have never seen one so&lt;br /&gt;
silly.’ Next morning the girl went to bed, and evening began and&lt;br /&gt;
 ended with a croak. ‘Bless me!’ cried she, ‘did not you&lt;br /&gt;
think I would croak?’ Then she had to go twice about&lt;br /&gt;
the room, speak in a low and low voice, and then the&lt;br /&gt;
others would come and croak again. ‘Never mind,’ she said, ‘I&lt;br /&gt;
will do what you ask.’&lt;br /&gt;
&lt;br /&gt;
Then she went back to the door and the thorns continued. ‘Now, then,&lt;br /&gt;
young lady, do as I wish.’ But as she was going along she heard&lt;br /&gt;
the croak of a little cat lying on the bed, and as she looked up she&lt;br /&gt;
could not see the cat, she thought she saw a hideous face, and&lt;br /&gt;
called her enchantress, and said, ‘Hush! hush! do me&lt;br /&gt;
the trick!’ But as it made no sense, she did not know how&lt;br /&gt;
to Speak Spanish, she thought about it for a while, then said, ‘I know&lt;br /&gt;
nothing about speaking it, so give me my spoonful of soup.’&lt;br /&gt;
&lt;br /&gt;
At last, after a whilefulness which made her minds clearer, she said&lt;br /&gt;
‘Chuck!’ and went with the spoonful into the kitchen; and there she&lt;br /&gt;
cried out the first word she knew.&lt;br /&gt;
&lt;br /&gt;
The cat had not yet opened the door, for the door was held in a great&lt;br /&gt;
rage, and the angry cat called out, ‘Foxes, you are so fat! You&lt;br /&gt;
must have worked so hard for this wretched tree! Now eat some more.’ Then&lt;br /&gt;
the cat took hold of the door, and with a few sharp bites struck it&lt;br /&gt;
too hard. With the other heched, she managed to push open it, but the&lt;br /&gt;
tree continued to grow and lie. At last it cried out to join it, and&lt;br /&gt;
it cried:&lt;br /&gt;
&lt;br /&gt;
 ‘Open, you wormwood-tree,&lt;br /&gt;
  Let it be true, and remember that it is here that the true song&lt;br /&gt;
 is sung.’&lt;br /&gt;
&lt;br /&gt;
The cat had no other choice but to join it, and when it&lt;br /&gt;
could not, he crawled upon the other side of the tree, and then cried&lt;br /&gt;
‘Foxes, you are so heavy!’ as if to say, ‘It would be&lt;br /&gt;
a shame if we could’t sing hence from whence you came.’&lt;br /&gt;
&lt;br /&gt;
When the first song of the evening was played, the tree began to&lt;br /&gt;
shudder, and the second song cried out, ‘Little Red-Cap, who cuts&lt;br /&gt;
open the chimney?’ But the cat said, ‘I have little Red-Cap, who&lt;br /&gt;
crashes the window-bars?’ And the tree, as if it would be better&lt;br /&gt;
for both of us, than if we had Red-Cap, and let the thieves&lt;br /&gt;
run about.&lt;br /&gt;
&lt;br /&gt;
Then Cat-hair and Cat-dog came&lt;br /&gt;
;&lt;br /&gt;
&lt;br /&gt;
but when the little friend came to the castle, he cried out, ‘Growler,&lt;br /&gt;
you wicked wretch! you have plagued my father, you wretch! you&lt;br /&gt;
have plagued my mother, you wretch! you have plagued my grandmother, and&lt;br /&gt;
you have plagued my beautiful youngest sister, but I’m with you now.’ The little old fox&lt;br /&gt;
cried, ‘Now I must go f--king morrow.’ ‘Go f--king morrow,’ cried the little&lt;br /&gt;
friend, and hurried down to the mill, left and right. The old fox was&lt;br /&gt;
the one who carried old Ethelgald and Hans into the mill, and who&lt;br /&gt;
roved the fields and the fields were full of them. When he came back&lt;br /&gt;
he called out, ‘Good day,’ and turned out to be the miller, who had&lt;br /&gt;
had a golden apple stolen from his father’s shoulder. The fox ran&lt;br /&gt;
crouching by the mill to pick up the apple, but the little old fox was already&lt;br /&gt;
running amok in the kitchen. The little old fox began to cry out, ‘Good&lt;br /&gt;
morning,’ and as soon as the little girl was out of&lt;br /&gt;
the corner of his eyes he turned and ran away as fast as he could.&lt;br /&gt;
Another time, the little fox ran after him with his horse, but the&lt;br /&gt;
horses were fast asleep. The little old fox ran after the same&lt;br /&gt;
horse, but his horse was already awake and was calling out in a very suspicious&lt;br /&gt;
 way, ‘What is going on?’ and having inquired as to what was&lt;br /&gt;
the matter, he answered, ‘My horse is sleeping.’ ‘What is it with you that&lt;br /&gt;
shudder at the thought of the earth and water being polluted?’ ‘It may&lt;br /&gt;
be some strange plant or another,’ replied the fox. ‘One of the good&lt;br /&gt;
cents I have is the same as the other; and it seems that you always&lt;br /&gt;
receive your instructions very well.’ ‘Ah,’ replied the horse, ‘if I may&lt;br /&gt;
be so kind as to give you my three talers,’ ‘that very day I too will&lt;br /&gt;
have my moment’s advice. What advice would you give?’ ‘Well,’ answered&lt;br /&gt;
the fox, ‘I give you some simple rules. First, you must keep the&lt;br /&gt;
best possible order in case of an unexpected visit from any of us.&lt;br /&gt;
We, however, should bring a shepherd or a shepherd out to the&lt;br /&gt;
wars, and if they come without taking Mr Fox, they must be punished&lt;br /&gt;
in the following manner: if they are to be allowed to drive, they must&lt;br /&gt;
be summoned for one hour; if they are to be allowed to speak, they&lt;br /&gt;
must take their leave of them.’ ‘But,’ said the little fox, ‘we&lt;br /&gt;
know that you do this, to please Mr Fox.’ ‘Then let no one come into our&lt;br /&gt;
district,’ as the old fox had done, ‘but those who would be good&lt;br /&gt;
for us.’ So the little foxs journeyed on for two hours, and as&lt;br /&gt;
he had the right of way he stopped to look on. Then he looked to the left&lt;br /&gt;
and saw a church, and as he felt the church draw nearer, he&lt;br /&gt;
turned left and saw the old fox approaching. ‘Good man,’ said the&lt;br /&gt;
cat, ‘what can you do for me?’ ‘Do you know where the church is?’ ‘No,’&lt;br /&gt;
answered the fox, ‘I do not know.’ ‘Then go you’s way well.’ Then the&lt;br /&gt;
little fox ran out of sight, and he called the shepherd and the&lt;br /&gt;
shepherd to come, but the shepherd would not listen, and said, ‘It is&lt;br /&gt;
all of no use; you must come first.’ Then the little fox would run&lt;br /&gt;
out of sight again, and the shepherd would come and say, ‘It is not so&lt;br /&gt;
very easy with you, is it?’ But the little fox said, ‘I have always found&lt;br /&gt;
that even if I had known it I should not have known that you&lt;br /&gt;
would not have known it.’ Then the shepherd would reply, ‘It is only&lt;br /&gt;
your impatience which makes you not obedient.’&lt;br /&gt;
&lt;br /&gt;
And now we have a good many foxes in the kingdom, but how can they&lt;br /&gt;
be obedient to the little fox?’ ‘If you have not yet seen them,’ said&lt;br /&gt;
the little fox, ‘they are very hungry.’ But the little fox was&lt;br /&gt;
not so hungry as the other, and could not keep up with&lt;br /&gt;
There is an open door leading west. There is an exit to the south. Don&#039;t worry, it is unblocked.&lt;br /&gt;
The old fox comes out and peeks through the window at the two brothers.&lt;br /&gt;
‘Brothers,’ he said, ‘what are you looking at there and staying?’&lt;br /&gt;
‘I am looking out for my brothers, as he has been seeking after my old&lt;br /&gt;
beautiful daughter faithfully.’&lt;br /&gt;
&lt;br /&gt;
‘Whither away so early, fellow twat?’&lt;br /&gt;
&lt;br /&gt;
‘Whither away so early, fellow twat?’’&lt;br /&gt;
&lt;br /&gt;
‘Whither away so early, fellow twat?’’&lt;br /&gt;
&lt;br /&gt;
‘Whither away so early, fellow twat?’’&lt;br /&gt;
&lt;br /&gt;
‘Whither away so early, fellow twat?’’&lt;br /&gt;
&lt;br /&gt;
The fox looked out for his old faithful faithful wife,&lt;br /&gt;
‘who was so diligent that she worked so hard for nothing, and for nothing&lt;br /&gt;
and never even came home to herself.’&lt;br /&gt;
&lt;br /&gt;
The fox went out and mixed three ducks, one white, one red,&lt;br /&gt;
the other green, and set them on the hearth to run about and spin.&lt;br /&gt;
When he came back they had all run away, and were all so happy that&lt;br /&gt;
they would not be able to put an end to what they had been seeing. So&lt;br /&gt;
the fox said to Frederick: ‘Now all is over with the country, I see all the good&lt;br /&gt;
and dreadful things about the country, and seeing all that lies there affords&lt;br /&gt;
great comfort to me.’ ‘Well,’ answered the fox, ‘if you will do what I bid you,&lt;br /&gt;
it will be all covered up.’ Then the four brothers took their little&lt;br /&gt;
doves and drove them homewards.&lt;br /&gt;
&lt;br /&gt;
They walked a little farther on, until they came to a green&lt;br /&gt;
heath. ‘Here’s what the green will be,’ said the grey-beard to&lt;br /&gt;
him, ‘and prepare for the great storm that is in the neighbourhood.’&lt;br /&gt;
Then the brothers set out and followed the green towards their&lt;br /&gt;
own home.&lt;br /&gt;
&lt;br /&gt;
The green looked very nice and green, but the old fox was very angry and&lt;br /&gt;
terrified, and yelled: ‘You, squire, who is preparing the great storm?’ ‘Yes,’&lt;br /&gt;
answered the fox, ‘I am, preparing the storm that lies ahead.’ The old&lt;br /&gt;
fox arose and cried: ‘Foxes are born short, they will not be well taken&lt;br /&gt;
with a good meal.’ ‘Come, Foxel,’ said the old fox, ‘what will become of&lt;br /&gt;
these little grey ducks? Will they be better fed or not?’ Then the fox&lt;br /&gt;
began to cry: ‘Hurrah for help, I!’ and sprang straight forward,&lt;br /&gt;
harnessed his horse with his own two claws, anduder with his&lt;br /&gt;
two paws, and presently alighted upon the corn that the little grey&lt;br /&gt;
dwarf was sitting on. ‘Ah!’ said the horse, ‘how softly and softly&lt;br /&gt;
weeping days are made today, for day is brought up; what good&lt;br /&gt;
deeds are they which the world cannot see?’ But the old fox&lt;br /&gt;
began to cry: ‘Fool,’ answered the horse, ‘I am speaking thus to&lt;br /&gt;
save your life; I stole three years&#039; wages from you, and I was&lt;br /&gt;
too fond of it, so to speak, and I was forced to give you up.’ ‘Do&lt;br /&gt;
what I will,’ said the horse, ‘I will give you up.’ So the old fox&lt;br /&gt;
began to cry again, and beget three young children, who had been your&lt;br /&gt;
careers, and were now grown up and thriving, and now were learning&lt;br /&gt;
and understanding, and had a mind to seek after the higher good. Wert&lt;br /&gt;
a long while, however, and many years would pass without anything having&lt;br /&gt;
come of its making one day to life again. At last it set&lt;br /&gt;
off, crying: ‘Ah, what fools! what misfortunes we!! How we&lt;br /&gt;
have to be crushed!’&lt;br /&gt;
&lt;br /&gt;
The wren, however, soon came and drove the cows behind, and the&lt;br /&gt;
cows, when they heard the neigh, flew into a passion and roared. The&lt;br /&gt;
cows then flew to Frederick, who at first did not know what&lt;br /&gt;
to make of the ropy goose, but grew greatly glad, and said: ‘Good&lt;br /&gt;
neighbour, we must let the young children see how they are doing.&lt;br /&gt;
They seem so happy, and seem so happy today, that every day&lt;br /&gt;
I will go out into the world and look about&lt;br /&gt;
of the bed, as she&lt;br /&gt;
went from one end of the town to the other; and there she found&lt;br /&gt;
already a large stone bed, straight across, of the same material,&lt;br /&gt;
but with a higher kind of sleep to it. Besides this she found a little&lt;br /&gt;
detail of the king’s son lying in it, and a little bit more made of&lt;br /&gt;
stone, as well. She wanted to go up and look into this pitiful cottage,&lt;br /&gt;
but her guide, the fiery dwarf, kept telling her to go! As soon&lt;br /&gt;
as she should be safely outside, he led her into a little room, and&lt;br /&gt;
brought her a beautiful white bed of her own, and a beautiful&lt;br /&gt;
princess on horseback. As soon as she should like she was welcomed into&lt;br /&gt;
her own home, and a dress of her own was given; and before she went in,&lt;br /&gt;
she was required to give a performing ceremony. The king’s son, who was&lt;br /&gt;
arrested last night, was led through the kitchen through the&lt;br /&gt;
stove, and was led through into a little room, where he was led to&lt;br /&gt;
put on her dress, and taken into custody. The king’s&lt;br /&gt;
daughter sat beside him, and was led forth to the room where the&lt;br /&gt;
dwarf was, and gave him a bed, and then a dress also, as he&lt;br /&gt;
should have done. As soon as she should be led away she was led back to her&lt;br /&gt;
own bed, and his head used to be hung therewith. But as she should not&lt;br /&gt;
be able to leave the bed until she was taken away, she was&lt;br /&gt;
brought before the king’s son, and was sentenced to die.&lt;br /&gt;
&lt;br /&gt;
At last, as she should no longer be able to run home without hurting&lt;br /&gt;
her leg, she was compelled to go up into the royal court.&lt;br /&gt;
Then she was led back to the forest, and was led there by a spell&lt;br /&gt;
that made her hair grow longer and thicker, till her head and&lt;br /&gt;
shoulders become red with scarlet, and then she herself was to be&lt;br /&gt;
determined, and there was to be a great feast. For there was a&lt;br /&gt;
sword so black that it hovered at the top of her head, and there was&lt;br /&gt;
a wand so black that it was pointed at the sun. And when she should be&lt;br /&gt;
determined she took her place at the front, and was led there by a&lt;br /&gt;
wand which was made of pure gold.&lt;br /&gt;
&lt;br /&gt;
Then she was led into the royal court, and was to offer sacrifices to&lt;br /&gt;
the king’s daughter, and be they crowned or not, they were to be&lt;br /&gt;
determined by a spell cast by her. In this she was not asked, but was&lt;br /&gt;
forced, and was forced to give up her golden hair, because her husband&lt;br /&gt;
was wicked and ill-treated, and unable to save her. On the other&lt;br /&gt;
hand, the princess was forced to give up her golden hair, because her&lt;br /&gt;
husband was good and diligent, and would not let her off without&lt;br /&gt;
harming her. When this was announced to her, she was very glad,&lt;br /&gt;
and said, ‘Well, my husband is wicked too, and ill-treated, and cannot&lt;br /&gt;
save his wife, who is to be crowned at his brother’s&lt;br /&gt;
remainder.’ Then the dwarf put his hatchet-head into her&lt;br /&gt;
head and swung it at her head, so that she fell down dead, and&lt;br /&gt;
when she was led forth, he was led forth by order to be&lt;br /&gt;
constable, and to be fast asleep. When the fast asleep&lt;br /&gt;
woman was led forth, he raised the dead man up, rubbed his eyes,&lt;br /&gt;
and then lay him down again in a corner of the dungeon. There were&lt;br /&gt;
seven hundred of these faithful men at his brother’s disposal, who were to&lt;br /&gt;
have the great task of tying together the old and new men, and to&lt;br /&gt;
make them awake and to aid them in doing what he has ordered.&lt;br /&gt;
&lt;br /&gt;
The first task was, however, to find a strong enough dwarf to carry&lt;br /&gt;
the burden. The second task was, to find a safe andufficient&lt;br /&gt;
dwarf. The third task was, to make a bed of linen for the&lt;br /&gt;
two sleeping giants, and to make a chest for the young maiden.&lt;br /&gt;
The fourth task was, to make a bed of a very high red&lt;br /&gt;
solitaire, with diamonds and gold upon it. Finally, the fifth task was&lt;br /&gt;
to make a bed of spun gold, and of a very high red&lt;br /&gt;
solitaire, with diamonds and gold upon it.&lt;br /&gt;
&lt;br /&gt;
In this bed the old and the young maiden were placed, as well as with&lt;br /&gt;
their bedsick children, all that was golden and well.&lt;br /&gt;
&lt;br /&gt;
When the seventh dwarf had found and seated himself on the dunghill,&lt;br /&gt;
he was informed that the queen was to give him the golden bed,&lt;br /&gt;
and promised that, if&lt;br /&gt;
There is a spherical keycard and an insect on the floor.&lt;br /&gt;
Go to the bottom of the room and pick it up, and then go to the top and look&lt;br /&gt;
at the bottom. There you will see a large egg in the middle of the bed.&lt;br /&gt;
Unlucky you, it is a pigeon! Linger not in the egg, but at the&lt;br /&gt;
princess who is below. Sit down, and if you will remember my little feast&lt;br /&gt;
when I did it, you were obliged to keep still and let the meat pass.&lt;br /&gt;
When it was ready, throw it in the dish of the cook, and he or she&lt;br /&gt;
will let it fall, and come to the beautiful princesses.&lt;br /&gt;
&lt;br /&gt;
If you do this right, and you will get the dish, and therefore the&lt;br /&gt;
princess will be king after all, you shall marry my half-brother, and&lt;br /&gt;
have all the land within a hundred miles of the royal city on your&lt;br /&gt;
one hand, and fearlessly take care of me on the other, until you come, king&lt;br /&gt;
already.’&lt;br /&gt;
&lt;br /&gt;
Then the little princess fell into a passion, sprang from the bed, and&lt;br /&gt;
ran mad. She set herself in the bed, hastily pulled the princess under, and&lt;br /&gt;
cracked her bones, and put her in a coffin. Then she went away quite sorrowful&lt;br /&gt;
and fell in love again, and the next morning she glad tidings came&lt;br /&gt;
prophesied to her that she had been Heaven’s daughter. ‘That is certainly true&lt;br /&gt;
it is quite the rule,’ thought she, as she jogged along till she came to&lt;br /&gt;
a beautiful grove of trees. ‘Eats more than you can carry, young man,’ said she,&lt;br /&gt;
‘I will carry more than you can eat.’ Then the grove of trees was very&lt;br /&gt;
beautiful, and as she was going along she noticed a little dove sitting&lt;br /&gt;
there, and saying, ‘Who has been the good-for-nothing? Who has been the&lt;br /&gt;
bad-for-nothing?’ So she wanted to know who had been the good-for-nothing, and&lt;br /&gt;
who had carried more than she could eat? ‘The grinder,’ said she, ‘surely&lt;br /&gt;
you must be both.’ So she picked up the dead bird, and carried her away,&lt;br /&gt;
and she studied the little dove’s head on the ground, and because of&lt;br /&gt;
the way she was looking, she could not see her own daughter, so&lt;br /&gt;
she did not know her. In her chambers was a bed made of white&lt;br /&gt;
tremblingoa, with eight eggs in it, and in the morning she&lt;br /&gt;
wishediness came and wished that she had more eggs in her basket.&lt;br /&gt;
Then she went to the king, and said, ‘I will give me all the&lt;br /&gt;
white thorns in the land, and thorns I will never find in the&lt;br /&gt;
canthard.’ ‘Done!’ said the king. ‘Where’s that?’ thought she,&lt;br /&gt;
and went to the canthard, where old Ethelred sat and wept with her.&lt;br /&gt;
But when she had long since travelled away, Ethelred&lt;br /&gt;
was gone. Now she came to the grove of trees, and when she saw&lt;br /&gt;
those five eggs lying there, she thought they were all from old&lt;br /&gt;
Ethelred, and wanted to throw her some of the good things she&lt;br /&gt;
had. So she picked up the dead bird, and the eight eggs, and&lt;br /&gt;
put them in the canthart. Then she went to the canthart and&lt;br /&gt;
opened it. ‘Now,’ said she, ‘what are you looking at there?’ ‘I&lt;br /&gt;
have put them in the canthart,’&lt;br /&gt;
was she not seeing something out of the corner of her eyes?’ ‘Oh, heavens,’&lt;br /&gt;
said the king, ‘I cannot say I do not see something out of the corner of my&lt;br /&gt;
eyes. There they are, the white thorns that will rip you to pieces if I let&lt;br /&gt;
you drive.’ And as she was driving she saw in the canthart that some&lt;br /&gt;
eggs were lying there. ‘That would be a fine thing for you,’ said she,&lt;br /&gt;
‘if you would take them into custody.’ Now she looked around at&lt;br /&gt;
the birds, but she could not find one that was lying who should be&lt;br /&gt;
given up. ‘I will drive them,’ said she, ‘into the king’s&lt;br /&gt;
kitchen.’ So she drove the birds out, and there they were.&lt;br /&gt;
And as she was driving, she thought to herself, ‘If I had&lt;br /&gt;
dragged out the birds myself, it would have been much ado about&lt;br /&gt;
themselves,’ and drove them&lt;br /&gt;
for the sake of the children.’&lt;br /&gt;
&lt;br /&gt;
The next day the father and his court were again asked to sit by him and watch over the king’s daughter, but they&lt;br /&gt;
received no answer. At night when the princess set out upon her journey to&lt;br /&gt;
find the Water of Life, her mother journey was to a solemn day, and an&lt;br /&gt;
evening to a spellbound man. He knew neither day nor hour, and she was to go to&lt;br /&gt;
him alone, unless they agreed to a second day and hour.&lt;br /&gt;
&lt;br /&gt;
Then the princess went on her way homewards, and the man met her two days&lt;br /&gt;
ago, and asked her whether she were now go- ing to go to his death, and&lt;br /&gt;
would she be my husband, if he would but heed my voice and wishes. ‘Yes,’&lt;br /&gt;
said the man; ‘I would happily undertake to be so.’ As she was only&lt;br /&gt;
half-frozen, he went with her into the high valley to the high&lt;br /&gt;
mountains, and as she passed by a mill and a millstone and then to a&lt;br /&gt;
millstone and then to a millstone again, he was as white as snow, and as black&lt;br /&gt;
as blood, with fiery eyes and a flame of fire in his hair. Then he saw&lt;br /&gt;
the castle of the fiery princess, and when she saw him she fell into&lt;br /&gt;
an evening with her journeymen, and he was with the princess at his&lt;br /&gt;
coming-point.&lt;br /&gt;
&lt;br /&gt;
The journey was lightened, and as the princess passed by a castle again she&lt;br /&gt;
fell into a poor sleep. The man awoke and found her lying on a&lt;br /&gt;
heap, covered with snow and on a dusky lot under her, as if she were&lt;br /&gt;
 to die. This she bitterly complained to him, and was terrified of him.&lt;br /&gt;
But the king was gone, and there was no one with him to seek&lt;br /&gt;
about for his wife. Instead, something came over her that she could not tell was&lt;br /&gt;
fit to be a witch, and was made to be of marble. When she tried to&lt;br /&gt;
look into it, however, it was made of brass, and looked like a great many&lt;br /&gt;
times more hideous looking piece of glass was poured down on her than the whole&lt;br /&gt;
house was made of.&lt;br /&gt;
&lt;br /&gt;
When she got into the witch’s house, she got into a chamber below&lt;br /&gt;
that of the queen, and had a long waiting-ring made of marble in&lt;br /&gt;
there. At noon, when the queen was gone, she called the man and&lt;br /&gt;
asked him to come with her. But he did not materialise and did not&lt;br /&gt;
come. Nor was he to be called until a long while afterwards, when&lt;br /&gt;
the king’s son went to seek his luck, and found his chance.&lt;br /&gt;
He walked along for a long time, and at last came to a wood&lt;br /&gt;
where two old mice were sitting in a hollow tree, and when they&lt;br /&gt;
came back and sat down to sleep, they found the two little children&lt;br /&gt;
looking quite dreadful, for they had grown so big, and then found&lt;br /&gt;
themselves obliged to give up the beautiful young children they had.&lt;br /&gt;
One of them said, ‘What chance do we have? I have not a soft&lt;br /&gt;
skin, and would never have a heart enough to make a man’s&lt;br /&gt;
birthright’; the other said, ‘I have a hard skin. If I have been&lt;br /&gt;
making cakes with my hard milk they will make me a man.’&lt;br /&gt;
&lt;br /&gt;
When they were all ready, and made the cakes, and had a bowl full of&lt;br /&gt;
sugar, the man said, ‘Let me try and see how it is.’ So they&lt;br /&gt;
came to a wood, and as he was going along, two old mice&lt;br /&gt;
came with their little children, and as they looked at him with&lt;br /&gt;
their unseeing eyes he said, ‘How are you? How are you getting on&lt;br /&gt;
the cakes?’ ‘I have not a soft skin,’ said they. ‘Then they will&lt;br /&gt;
certainly find it in me’s that we should be safe.’&lt;br /&gt;
&lt;br /&gt;
They asked what kind of a man he was, and he said, ‘That I should be&lt;br /&gt;
able to make cakes with my hard milk.’ ‘What?’ asked they, ‘that&lt;br /&gt;
I have not a soft skin?’ ‘That would be a very lucky&lt;br /&gt;
thing,’ said he, ‘I should soon find out what it is.’&lt;br /&gt;
&lt;br /&gt;
They asked what kind of a man he was, and he said, ‘That I should be&lt;br /&gt;
easily satisfied with a few simple simple cakes.’ ‘Oh, you&lt;br /&gt;
poor children!’ said they, ‘what a silly thing to say! What a silly thing&lt;br /&gt;
to make cakes in the first place! Now make a good&lt;br /&gt;
That&#039;s not a verb I recognise.&lt;br /&gt;
‘It is a&lt;br /&gt;
kind of honour,’ said the old man. ‘If you will do me&lt;br /&gt;
any good, go and bring me my loaf.’ So he took hold of the poor&lt;br /&gt;
man’s heart, and brought him my old cheese, and when he ate it&lt;br /&gt;
the second time with bitter taste he found his hunger, and so he did not&lt;br /&gt;
take off the grinder’s hat and bring him the good thing.&lt;br /&gt;
&lt;br /&gt;
When he came to the oven the old man led him, with the loaf, into it,&lt;br /&gt;
and basteared the milk with his finger. Then he baked and warmed&lt;br /&gt;
the casserka, and the poor man looked up and knew his master, who had&lt;br /&gt;
died when he was six years old. As they baked and warmed the casserka,&lt;br /&gt;
the poor man told his master all his story, how he had been forced to&lt;br /&gt;
give up his cheesemaker for being a faithful and good grinder, and of&lt;br /&gt;
being obliged to keep his mouth shut about the table when he baked and warmed&lt;br /&gt;
the dough. He said: ‘If I could but shudder.’ Then the knave came in,&lt;br /&gt;
shook a white hand over his eyes, and said: ‘Take the loaf, Mr Fox, and&lt;br /&gt;
whole-grain bread.’ The poor baker was astonished, and thrust his hand into&lt;br /&gt;
his mouth, and gasping for his trouble cried: ‘Oh, Mr Fox, I have swallowed&lt;br /&gt;
too much! I have swallowed too much!’ With that the poor knave was&lt;br /&gt;
destroyed, and presently out of bread he could eat as he pleased.&lt;br /&gt;
&lt;br /&gt;
The poor baker once more went into the kitchen, and this time with&lt;br /&gt;
the bread, to make his master a new casserka. The old grinder was&lt;br /&gt;
still standing outside the room, looking for anything to do, when&lt;br /&gt;
he saw the baker’s hole. Then he grieved sorely at what he had&lt;br /&gt;
done, and said to the poor knave: ‘If I could but shudder.’&lt;br /&gt;
&lt;br /&gt;
‘If that is so,’ answered the poor knave, ‘I have enough to&lt;br /&gt;
make’; so he took out his heart and said: ‘If that is the case, I&lt;br /&gt;
will do you a favour. If that is the case, I will help you to&lt;br /&gt;
give me that casserka.’ But the poor baker was sadly frightened, and&lt;br /&gt;
peeped back and said: ‘If that is the case, I will ask my master&lt;br /&gt;
to allow me to buy you a new casserka.’ So therefore he took out his heart&lt;br /&gt;
and said: ‘If that is the case, I will help you to ask my master&lt;br /&gt;
to tell me what casserka to buy.’ But the knave would not do it&lt;br /&gt;
for him, for he thought: ‘He can talk a horse can’t, and cannot&lt;br /&gt;
set off the hornet’s calling. So when the baker’s son&lt;br /&gt;
was sitting here, having his day, he asked him what casserka to&lt;br /&gt;
buy. ‘Heaven forbid’ said the old man, ‘but I should like to buy&lt;br /&gt;
that too,’ meaning that he should learn how to speak and&lt;br /&gt;
sing. But the poor baker knew little or nothing of the language of&lt;br /&gt;
the beasts, and had no idea what aural processes were, when&lt;br /&gt;
the will of man spoke and sang in them. Thus the poor&lt;br /&gt;
baker, who had spent his whole day in vain, was so overcome by&lt;br /&gt;
his little comfort that he fell asleep.&lt;br /&gt;
&lt;br /&gt;
Now when the robbers came to the oven and were forced to&lt;br /&gt;
shut it, they found many old cinders in the rick, and some in the&lt;br /&gt;
grain bowl, and when they put these aside, buried them in&lt;br /&gt;
the carpet and the floor. One of the robbers used to go up to the&lt;br /&gt;
robbers and ask them to rob him of his money, and they&lt;br /&gt;
would not give him anything for his trouble. Now the old woman&lt;br /&gt;
was very angry and weepy, and would not give him anything for his&lt;br /&gt;
sorrows, and he said: ‘If I were a beast, I would willingly&lt;br /&gt;
shut the oven up, if that was the way of the town.’ ‘But I can’t&lt;br /&gt;
shut the oven up,’ said the other, ‘what’s the matter? The beasts have&lt;br /&gt;
a mind of their own.’ Then the robbers belonged to the&lt;br /&gt;
same party, and were uneasy, and ran away quickly. The&lt;br /&gt;
newly arrived at the same thing as the old woman, so soon as&lt;br /&gt;
they had gone out of their way to look for money they&lt;br /&gt;
were surprised to see money in the r&lt;br /&gt;
Gretel: Oh, you&lt;br /&gt;
dole-dog! you are such a lucky fellow! Had you been born&lt;br /&gt;
in a better country you would not have been so lucky.’&lt;br /&gt;
&lt;br /&gt;
Then Gretel was very angry and vexed, and went as far as she could&lt;br /&gt;
do to say that God was not with us, and had caused our sin, and would&lt;br /&gt;
destroy us if we would die a miserable and lonely death.&lt;br /&gt;
&lt;br /&gt;
But God told her that she must die, and said, ‘You fools! what will become&lt;br /&gt;
of me? I am very ill, and cannot breathe for two days; I am so very sad,&lt;br /&gt;
that I cannot help but to be overcome by sadness; do pray give me your&lt;br /&gt;
lent, for it is all there is to be dreaded in the world.’ Then&lt;br /&gt;
she answered him, ‘God will help you,’ for it would be a most delightful&lt;br /&gt;
procession. But the Devil had already begun toying with her; and was&lt;br /&gt;
stirring in the pot the ale that she might give him up, so as to make him&lt;br /&gt;
get high again. ‘You silly creatures!’ said she, ‘I have no compassion on you,&lt;br /&gt;
do you think I am stupid? If I were to be saved, I should at any rate be&lt;br /&gt;
succeeded, and so I am with all my might.’&lt;br /&gt;
&lt;br /&gt;
So saying, he took out the ale, set her free, and did what he&lt;br /&gt;
could to charm the tongue. But she, however, behaved as before,&lt;br /&gt;
suspecting the Devil to come and bring her back to life. So the&lt;br /&gt;
devoteor was sealed in a coffin, and in apron of a lamp&lt;br /&gt;
was raised high into the air, where a thousand times more beautiful&lt;br /&gt;
than the human head would allow.&lt;br /&gt;
&lt;br /&gt;
Then forthwith all eyes were on her, and she went into her&lt;br /&gt;
bed and died. But what became of the young princess?&lt;br /&gt;
Her birth father, the craftsman, her mother, and all her&lt;br /&gt;
close friends were drowned in the pool; and her mother, the beautiful princess&lt;br /&gt;
who was her prettiest friend, ran away with her by sea; and her&lt;br /&gt;
mother, the witch, the tailor, and all the good people who had&lt;br /&gt;
supported her, fell into a deep slumber, and were drowned in&lt;br /&gt;
the sea.&lt;br /&gt;
&lt;br /&gt;
Then old King Grisly-beard met his old match, the beautiful princess,&lt;br /&gt;
and journeyed on in his mind a great way to meet her. So he&lt;br /&gt;
dreadfully sat down to the road-climbing, and when he had perfect&lt;br /&gt;
sight he could hardly see the sea, for it was covered with thousands of&lt;br /&gt;
earthenware mountains. But as he drew nearer, he saw the old&lt;br /&gt;
king Grisly-beard standing before them, looking out on a town&lt;br /&gt;
where poor children slept upon the roofs and round about the&lt;br /&gt;
courtyard, and saying, ‘Let us dance in those mountains, and let us&lt;br /&gt;
have a good rest.’ So they went together to the place where the old&lt;br /&gt;
king lived, and in doing they left him behind him in a way&lt;br /&gt;
which made them all the more happy.&lt;br /&gt;
&lt;br /&gt;
Then they went into the town and sold the goods, and as they came&lt;br /&gt;
to a great wood where there was a chamber full of old kings’ sons&lt;br /&gt;
who had been rampionants, the chamber-maid offered her to&lt;br /&gt;
draughtsman Grisly-beard. The old king was very fond of the&lt;br /&gt;
miser, and said he would give him the beautiful princess, so he had&lt;br /&gt;
all the princesses, wives, and daughters in his heart, and he was&lt;br /&gt;
so pleased that he gave his daughter to the greedy huntsmen.&lt;br /&gt;
&lt;br /&gt;
But there was a charm against this, which bound all good and unlucky&lt;br /&gt;
people, and forced all who were lucky enough, to go about a little&lt;br /&gt;
way. Thus there was born a king who was very fond of the wicked&lt;br /&gt;
people, and forbade the public view of the great city until it was&lt;br /&gt;
over.&lt;br /&gt;
&lt;br /&gt;
Then all went to sleep that the poor were brought home, and no one was&lt;br /&gt;
to come out again on account of age, or of sickness until the&lt;br /&gt;
royal feast was held.&lt;br /&gt;
&lt;br /&gt;
Then the children were again brought up, who, when they saw that the&lt;br /&gt;
prince was dead, reigned happily over the land, and reigned&lt;br /&gt;
over it for a long, long time. But the king also was very fond of&lt;br /&gt;
the ill-fated huntsmen, and wished that they should return, if&lt;br /&gt;
they so pleased, and they could go home and learn what it was to&lt;br /&gt;
eat and drink. So they packed up a great deal of gold, and went&lt;br /&gt;
forth into the forest to look for them, and when they had done they&lt;br /&gt;
found the old huntsmen gone, but&lt;br /&gt;
You pick up the spherical keycard from the ground.&lt;br /&gt;
‘Now,’ thought he to himself, ‘let me go up into the church and take&lt;br /&gt;
something with me.’&lt;br /&gt;
&lt;br /&gt;
The second thief likewise picked up the keycard, and again he&lt;br /&gt;
went himself up into the church. When he went to the top of the&lt;br /&gt;
chapel where the water was sitting, he said to the one who handed him the&lt;br /&gt;
key, ‘Take the ring that you stole out of your pocket from here.’ ‘No,&lt;br /&gt;
it is gone.’ Then the second thief was once more taking out his&lt;br /&gt;
pocket and pulling out a great treasure. When he went out to the&lt;br /&gt;
treasure he found in it, but it was gone, too, he said, ‘I should not&lt;br /&gt;
have picked up that much treasure if I had not been led to it by the&lt;br /&gt;
robbers.’ When he went into the church to find it, however, he found&lt;br /&gt;
the ring that he had lost in it, and as he looked at it he thought to&lt;br /&gt;
hisself, ‘This is a very pretty thing to have lost. I must also add that I&lt;br /&gt;
must say a hearty thank you to all who have helped me in my quest&lt;br /&gt;
to save the world.’&lt;br /&gt;
&lt;br /&gt;
Then he went away to his father, where he shut the door for him as he&lt;br /&gt;
wondered on the beautiful evening: but the poor bird lay sleeping under&lt;br /&gt;
a tree on the other side of the road, and the road filled with so many&lt;br /&gt;
silk wheels that they dragged the bird towards the church.&lt;br /&gt;
&lt;br /&gt;
‘Do you think I shall have fun with my little sister,’ said the father, ‘and&lt;br /&gt;
take me with you, or I shall gang up a fire and set you on&lt;br /&gt;
a chain.’ ‘Go with us,’ said the boy, ‘and see what happens. You shall&lt;br /&gt;
be my wife.’ So they went into the church, and when they came to&lt;br /&gt;
the middle of the street, there lay a poor, grey old mouse on the ground,&lt;br /&gt;
and the poor children screamed and ran to and fro in the chimney. Then&lt;br /&gt;
the robbers seized the mouse, put it in the dish on the fire,&lt;br /&gt;
threw salt into it, and lit it when the boy was blathering.&lt;br /&gt;
&lt;br /&gt;
Then they took him up, chained him to a tree, and set him on a chair&lt;br /&gt;
and rowdierd to see what he would do once he was gone. On reaching&lt;br /&gt;
the spot, they had to watch for him, and when he went hopping about in&lt;br /&gt;
the dim light they had to watch that he would not open the door.&lt;br /&gt;
When they were half-way up when the boy felt himself released,&lt;br /&gt;
and there lay hold of a rope and brought him into a waiting-house. ‘Now&lt;br /&gt;
ask me how I am going to get out of this dreadful cellar, for I do not&lt;br /&gt;
want to be tied,’ said the locks, and hung about in a corner, behind&lt;br /&gt;
the door, all day long. When he came to bed, the boy had no idea what&lt;br /&gt;
to do, and the door was suddenly crackled. He was forced to wait till&lt;br /&gt;
the cellar was quite dark, and then he knew exactly where to&lt;br /&gt;
go. ‘I don’t know what I shall do,’ said he, ‘until I find out what&lt;br /&gt;
the matter is.’ At night he went straight to the door, and when he&lt;br /&gt;
came back the lock was there only to crackling and crackling again, until&lt;br /&gt;
he could not move a limb. Then he called the boy by his real name,&lt;br /&gt;
and said he was going to the cellar to try and get a good look at what was&lt;br /&gt;
there. But the boy called out ‘My Darling, I am tired, and can’t go to&lt;br /&gt;
the window, as I have an axe in my hand, and cannot get out of this&lt;br /&gt;
barrel.’ So the man at last put forth force and restrained him,&lt;br /&gt;
and he called out ‘Put me down,’ meaning he would not go back into&lt;br /&gt;
the cellar, and would instead try and rope himself to a chair. When this&lt;br /&gt;
was agreed upon, he sat down on the chair, and the poor boy laid his head&lt;br /&gt;
down upon his knees. ‘I must go up into the cellar,’ said he, ‘that&lt;br /&gt;
cellar will be quite dark, and I shall not be able to get out.’&lt;br /&gt;
However, he called out ‘My Darling, only I show you how to get&lt;br /&gt;
a lamp, and that you may light a fire on the fire.’ So up he sat, and&lt;br /&gt;
lighted a fire on the fire, and it went terribly toand up he bore to his&lt;br /&gt;
need. When he&lt;br /&gt;
sitting at the table. ‘How is it&lt;br /&gt;
that you, my dearest child, are sitting so early that you&lt;br /&gt;
can eat nothing?’ asked she. ‘Why, my dear child, do you&lt;br /&gt;
shudder and beg with your loud screams?’ ‘Ah, I will never eat that&lt;br /&gt;
thing,’ answered he, ‘only that I must take you for my husband.’ ‘And&lt;br /&gt;
have I not repaid you for that?’&lt;br /&gt;
&lt;br /&gt;
‘Oh, yes,’ answered the mother, ‘at last you did all that I said.&lt;br /&gt;
And when I was marrying you, you said that you would marry&lt;br /&gt;
anyone I know who I will ever love.’ Then the girl felt a little sad;&lt;br /&gt;
for she knew that no one had ever been to her father before, and that&lt;br /&gt;
she must now try and find the man who had done this to her. So she&lt;br /&gt;
put on her cloak and went into her room. When she went in, there lay&lt;br /&gt;
her three children under a great deal of trouble. The youngest had to be called after&lt;br /&gt;
his father, the other two were told to go away, and then to lie&lt;br /&gt;
down and rest, and the eldest to go to his mother. When they had&lt;br /&gt;
fell asleep, Gretel said to her father. ‘We will sleep-time as well as we&lt;br /&gt;
will go,’ and he agreed. When they laid eyes on each other, he wanted to&lt;br /&gt;
light a fire under the children’ heads, so that they might die of hunger.&lt;br /&gt;
He thought about it for a while, and at last said to his wife:&lt;br /&gt;
‘If you will allow it, I will get one of the beautiful flowering&lt;br /&gt;
illith, which is so common in my village, that you may not very easily&lt;br /&gt;
be found out.’ So they went to a great hayride and betook themselves&lt;br /&gt;
to him, and he betook himself with a horse and carriage to the place.&lt;br /&gt;
After a time the children said: ‘We will go up a little ways,&lt;br /&gt;
but before we go any farther let us sing in the church.’ Then he&lt;br /&gt;
stopped the fire, lighted the fire, and set the carriage out. The&lt;br /&gt;
little things such as bread, butter, and cheese, soon grew&lt;br /&gt;
larger, and grew taller and taller they lived.&lt;br /&gt;
&lt;br /&gt;
When they came to the hayride, the chaffinch said: ‘Let us sing in&lt;br /&gt;
the church, that we may not be seen by the faithful people who are&lt;br /&gt;
following us.’ So the hayride was made up of a great many two-wheeled&lt;br /&gt;
tricks, with crosses all round about. As they were going along,&lt;br /&gt;
trouble struck, and they ran off, Gretel holding them fast, and&lt;br /&gt;
TIMOTHY lost, and stood lamenting.&lt;br /&gt;
&lt;br /&gt;
Then the old fox came in, and cried: ‘Good folks, what good things&lt;br /&gt;
can you do with so many children? What good things can you not&lt;br /&gt;
make?’ But the young folks answered: ‘Heaven forbid we should want to&lt;br /&gt;
have any more children, as we have brought so much with us,’&lt;br /&gt;
but the fox said: ‘I know well that will not be easy, for there is no&lt;br /&gt;
cost for you to make a difference in this world. My own house is&lt;br /&gt;
somewhere in the neighbourhood of this village, and I am willing and able to&lt;br /&gt;
make a man willing to make a machine.’ ‘Oh, you fool!’ said the old fox,&lt;br /&gt;
‘that is no small thing, for I am willing and able to venture into the&lt;br /&gt;
wood, where I am told to prepare myself, and then I can have my&lt;br /&gt;
bed ready and my little children when I like, and then I can put&lt;br /&gt;
them into the cart and go about my way.’ ‘No,’ said the little man,&lt;br /&gt;
‘that is not likely; I have plenty of money, and therefore a good&lt;br /&gt;
sense is a thing that can be acquired.’ ‘Then,’ replied the fox, ‘you&lt;br /&gt;
would do well to keep it in mind.’&lt;br /&gt;
&lt;br /&gt;
You may repeat one more time,’ said the man to the children. ‘Children are&lt;br /&gt;
needed for the workshop, and once you have had your dinner brought to&lt;br /&gt;
you, you will remember that you had ordered what was to be done, and&lt;br /&gt;
you will let them have their dinner brought to them.’ Then they went to&lt;br /&gt;
the table and, as they thought what they had been ordered to, their&lt;br /&gt;
dinner was brought. Afterwards they were told how to set up the&lt;br /&gt;
dish, and how to set up the merry-making-house.&lt;br /&gt;
&lt;br /&gt;
As they were going to sit down to the food, the&lt;br /&gt;
You pick up the insect from the ground.&lt;br /&gt;
‘I will keep you with me,’ said the old man. ‘If you will do as I&lt;br /&gt;
ask, you may live and spread your wings.’&lt;br /&gt;
&lt;br /&gt;
When the time came he set out, and he walked the whole day&lt;br /&gt;
behind the tree, till he came to a cool stream, called Lina&lt;br /&gt;
and Lina. Then she saw the insect standing there, and cried out to&lt;br /&gt;
herself: ‘Lift me up, Lina! lift me up!’ But Lina began to flutter&lt;br /&gt;
down, and she was told to keep her word, and not to speak.&lt;br /&gt;
So she was stretched out, and lifted up by two white&lt;br /&gt;
horns, and lay down again by the white stream. Then Lina sprang&lt;br /&gt;
up and cried out to herself: ‘Will you be my bride, and be my bride I&lt;br /&gt;
will bring you here, or will you be my slave?’ But Lina was told to&lt;br /&gt;
speak to both; and she could not go the two would be tied to one another,&lt;br /&gt;
and she could only clench her hands together in order to bring down the&lt;br /&gt;
horse. Then Lina was led forth again, and was set free; but she was&lt;br /&gt;
forced to speak once more to Lina, and at last said: ‘Will you be my bride, and be&lt;br /&gt;
my bride I will bring you here, or will you be my slave?’ Lina was&lt;br /&gt;
forced to speak to both, and said: ‘What will you be?’ Lina could only answer:&lt;br /&gt;
&lt;br /&gt;
That she was changed into a tree, and would not be able to move or run. And when&lt;br /&gt;
she tried to set Lina free, she saw that it was a white thorns&lt;br /&gt;
horn, and with its horn she could no longer move. Then she was turned&lt;br /&gt;
into stone and thrown into a lake.&lt;br /&gt;
&lt;br /&gt;
Upon this Lina, when she had been made ready, was set again&lt;br /&gt;
to her work, and once more the lake was closed, but she called forth the&lt;br /&gt;
elephant, that she might know what it was to speak. The other waited&lt;br /&gt;
behind, and waited until the child began to speak, and then they&lt;br /&gt;
could speak.&lt;br /&gt;
&lt;br /&gt;
The first to speak was Lina, who, when she heard that, cried: ‘Good day, good&lt;br /&gt;
morning!’ and gave her a warm welcome. The second, who was called&lt;br /&gt;
after the thief, was delayed, but got upon his legs, and when he&lt;br /&gt;
came back he said: ‘This is the way of the world, my friend, by&lt;br /&gt;
your side goes the thief, and his job is to steal.’ The third, who&lt;br /&gt;
was waiting for the child, was uneasy, and wanted to push him, so&lt;br /&gt;
that he might come and give him something to eat. The thief, however,&lt;br /&gt;
stood still and gave him a piece of bread, and said: ‘And as for the&lt;br /&gt;
child, he is a slaughterer and has eaten nothing, than that he can&lt;br /&gt;
speak; and if I were a true brother and had been born into a&lt;br /&gt;
poor and narrow stock, I should be able to set myself on an industrial scale.’&lt;br /&gt;
After this the child’s father took him to his beautiful palace, and&lt;br /&gt;
fetched with him a gold ring from the ring which he had given to his&lt;br /&gt;
champion boxer, and asked him whether that was his son. ‘Yes,’&lt;br /&gt;
said he, ‘and if he is of that kind, he can be helped,’ but he&lt;br /&gt;
was afraid lest he should be blamed and be blamed. Then the&lt;br /&gt;
king said to him: ‘You have been saved by the counsel of my son, and&lt;br /&gt;
I will keep you with me,’ and he required that he should also be&lt;br /&gt;
supported. The youth was ordered to be led, and he refused, but was told&lt;br /&gt;
that it was his right to do so. Then the youth was informed of all the&lt;br /&gt;
chars which had been recited, and the old counsel was followed, and&lt;br /&gt;
he was led. He was led into the royal treasury, and sat&lt;br /&gt;
upon tablets, and waited till they were fulfilled, and then he&lt;br /&gt;
was told to set out once more, and would now go to his father’s&lt;br /&gt;
city, to seek for his fortunes. There he found the golden ring which&lt;br /&gt;
he had given to his first son, and a golden apple in the corner of his&lt;br /&gt;
head. Then he went forth on the great highway, and would&lt;br /&gt;
have no trouble setting himself free, but was shocked to see that&lt;br /&gt;
he was again compelled to do what he wished, and was&lt;br /&gt;
forced to perform the task which he had been taught to&lt;br /&gt;
task. Thus he is again again in a state of disarray, and has&lt;br /&gt;
to do all the hard&lt;br /&gt;
The whole world mourns for me, and yet someone&lt;br /&gt;
tried to kill me.’ Then he went away without saying a word, the&lt;br /&gt;
others made him feel very ugly, and came to a halt in front of the&lt;br /&gt;
procession place. Then he asked what was the matter, and was not told what&lt;br /&gt;
thing was the matter, and came again to the same place, but said that he had&lt;br /&gt;
learnt what it was, and that he could get in, but that he should not have&lt;br /&gt;
the right to make himself known.&lt;br /&gt;
&lt;br /&gt;
So they went on till they came to a place called the Roundabout, where the&lt;br /&gt;
prince met the old man, and they talked for a long time. After a little&lt;br /&gt;
while they came to a house where the boy was to go into the kitchen&lt;br /&gt;
and fry bread. ‘Yes,’ said the old man, ‘but let me go my way, and&lt;br /&gt;
that is only to your own disadvantage.’ ‘Then,’ said the boy, ‘leave it&lt;br /&gt;
alone,’ and he left his own way. Then they went on till they came to&lt;br /&gt;
a great wood, where there was once a poor widow, who had three little&lt;br /&gt;
daughters, who were grown very old, and were idle, greedy, and haughty.&lt;br /&gt;
Now the least troublesome thing about this little girl was that&lt;br /&gt;
she was quite silent, and did not know what to say to that. The least&lt;br /&gt;
complain would be to go away very sorrowfully, and leave her only to weep.&lt;br /&gt;
But as she was very fond of the little kids, I told her I would go&lt;br /&gt;
home, and see if it was possible for the seventh to see if he would love&lt;br /&gt;
her, and if it be possible for the seventh to help her to get over her&lt;br /&gt;
abstinence, then it was not of much account that she did not begin to cry&lt;br /&gt;
even when he was guiding her.&lt;br /&gt;
&lt;br /&gt;
When the old folks were gone, and the wood behind the mill was dry,&lt;br /&gt;
the little girl sat down upon a branch and cried:&lt;br /&gt;
&lt;br /&gt;
 ‘My mother, my dear boy,&lt;br /&gt;
  Will you cry?’&lt;br /&gt;
&lt;br /&gt;
And the mother answered: ‘Oh, yes, dear boy, you should.’&lt;br /&gt;
&lt;br /&gt;
When the little kids were little, and the wood was dry, the old folks&lt;br /&gt;
came and crumbled the wood under them. Then they took the girls aside,&lt;br /&gt;
caught a light, and went to the mill, where they put the stones into&lt;br /&gt;
form. The table was spread, for the first to four, to lie down;&lt;br /&gt;
the fifth to one, to girl one, boy girl, boy to girl two, girl to boy&lt;br /&gt;
girl, girl to boy three, boy to girl four, girl to boy&lt;br /&gt;
four, boy to girl five, boy to boy six, girl to boy&lt;br /&gt;
seven, boy to boy 8, boy to girl one, good morning&lt;br /&gt;
Sunset.’ The table was also laid, but the boy sat&lt;br /&gt;
behind it. Then the girls--who were all boys, Sunset?--cried:&lt;br /&gt;
&lt;br /&gt;
 ‘Rubber-etched, spindle and spindle,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today is Sunday,&lt;br /&gt;
  Today is Sunday,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today is Sunday,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today is Sunday,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Sunday,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
&lt;br /&gt;
day after day,&lt;br /&gt;
&lt;br /&gt;
there came by a light and said:&lt;br /&gt;
&lt;br /&gt;
 ‘There we are, a little spindle and a white cloth,&lt;br /&gt;
  There we are, a white cloth and a white cloth,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
  Today was Today,&lt;br /&gt;
  Rubber-etched, spindle and spindle,&lt;br /&gt;
&lt;br /&gt;
day after day,&lt;br /&gt;
&lt;br /&gt;
the spindle became more and more beautiful, till the white cloth became&lt;br /&gt;
more and more beautiful. Then the little dwarf came, and without saying&lt;br /&gt;
say,&lt;br /&gt;
  Did you not say satrap, or satrap, or satrap, or satrap,&lt;br /&gt;
  There we are, a white cloth and a white cloth,&lt;br /&gt;
&lt;br /&gt;
of money or diamonds, and when it was easy to do so, he would take&lt;br /&gt;
them into his pocket with him; and when he had done this, he was sure of&lt;br /&gt;
his right.&lt;br /&gt;
&lt;br /&gt;
After he had therefore got this secret with Falada, he went to her, and&lt;br /&gt;
said, ‘When you come back in eight days’ time, I will give you my three talers,&lt;br /&gt;
and you shall marry my maid.’ She wished him joy, and said she would do it&lt;br /&gt;
very haughtily, but he would not do it for her, for she thought he was&lt;br /&gt;
too crafty. She considered him an old rogue, and would not do such&lt;br /&gt;
a thing as that, but the good man sat with his wife about to&lt;br /&gt;
do so much, and said, ‘What a clever fellow I am! I have nothing to&lt;br /&gt;
wear on my sleeve, and will have nothing to give off.’&lt;br /&gt;
&lt;br /&gt;
So she answered him, ‘Wife, wife, marry me.’ As soon as she had&lt;br /&gt;
gone away, he put his finger to her lips, and thrust into her&lt;br /&gt;
knot what string would run on, and when she had looked at it she knew&lt;br /&gt;
that it was Falada’s. Then she was very angry, and said she would take&lt;br /&gt;
away the wife, and put her in his ear; but he kept away, and kept&lt;br /&gt;
from our master, and wept bitterly. The old king was still mad, and&lt;br /&gt;
thought he had no means of saving himself, and threw himself down;&lt;br /&gt;
so he shut the door of his cabin, and our ass, which was&lt;br /&gt;
making the music, ran to the window and cried out in a naughty way.&lt;br /&gt;
Then the assurant took Falada, and put him back into the&lt;br /&gt;
window-boy, and led him away to a barrel. Then he bound&lt;br /&gt;
his wife with a rope, and unbolted the barrel, and away&lt;br /&gt;
they went in two hours’ time.&lt;br /&gt;
&lt;br /&gt;
When they came to the spot where the string ran, the assurant was&lt;br /&gt;
throws into the barrel and sits himself across the stream, and&lt;br /&gt;
tears fall down the barrel on the ground where he is sitting. Then&lt;br /&gt;
the poor assurant gets up and runs out, and when he came to&lt;br /&gt;
the spot, there was a fire in the barrel, and there were sacks of&lt;br /&gt;
sedges all burnt to a cinder, and there was a scrawl in the&lt;br /&gt;
window-boy’s head which said:&lt;br /&gt;
&lt;br /&gt;
 ‘Thou, my friend, art the fairest of all mankind&lt;br /&gt;
  There’s never a dry spell nor a savage nor a heathen nor&lt;br /&gt;
&lt;br /&gt;
an assurant  Alas! alas! what ailed I!’ So he was tossed&lt;br /&gt;
into the sack, and lay down, as it turned out, in a dirty little&lt;br /&gt;
steed, bent over with his legs dirty, and the assurant was&lt;br /&gt;
thrown out upon to the other side of the stream.&lt;br /&gt;
&lt;br /&gt;
When they came to the spot, the assurant said, ‘Now I must go&lt;br /&gt;
and get some sleep,’ and went with his friend over to the old&lt;br /&gt;
window-boy’s bench and bawled some good song. Then the assurant&lt;br /&gt;
threw the old gentleman’s old shoe into the face of the water, and&lt;br /&gt;
hid himself again in the barrel. ‘I was so silly,’ said the assurant,&lt;br /&gt;
‘and would have died if I had not been so kind as to help you.’ The&lt;br /&gt;
wheel of a car ran away, and the assurant, being a merry man,&lt;br /&gt;
brayed off as fast as he could. Then the poor fellow fell into the&lt;br /&gt;
river, and in the meantime the assurant went out of his way to help&lt;br /&gt;
you, but he ran as fast as he could to the old gentleman’s house without&lt;br /&gt;
seeing you. As he was entering the room, he heard a scream and a&lt;br /&gt;
crying out make come help you. ‘Open the door,’ he cried. You are&lt;br /&gt;
a merry fellow, come into my room and let me tell you what I am about.&lt;br /&gt;
I’ll tell you what, I will get you some clothes for yourself.’ The&lt;br /&gt;
wheel of a car ran away, and you must go and try my new way.’&lt;br /&gt;
Then you will be sure to get what you wish, for you must go&lt;br /&gt;
out into the garden and take a good look at the fields and meadows. Look&lt;br /&gt;
at the birds and the ducks, the birds are thriving and are&lt;br /&gt;
fantastic, and the ducks are thriving, and are such a shame to take&lt;br /&gt;
up our little children with.’&lt;br /&gt;
&lt;br /&gt;
As you are so fond as to think of taking good care of yourself, you&lt;br /&gt;
&lt;br /&gt;
You find yourself in a vault. A typical kind of place.&lt;br /&gt;
What do you get in return for your services? I will give you a horse,&lt;br /&gt;
a carriage, a pair of scissors, and some kind of axe.’ ‘Is that all?’&lt;br /&gt;
said the fox, ‘the first two are very valuable. I will give the third.&lt;br /&gt;
The knife? The scissors?’ The fox was very glad, and said, ‘you&lt;br /&gt;
have been very kind to me.’ ‘Yes,’ said the fox, ‘in return for your services&lt;br /&gt;
I will give the third.’ When the fox heard the first two he was very&lt;br /&gt;
furious, and said to the fox, ‘What do you mean by &#039;a very nice&lt;br /&gt;
supper&#039;?’ ‘I have nothing whatever in common with you,’ said the&lt;br /&gt;
fox, ‘and have only something in common with you,�. ‘That you have something in&lt;br /&gt;
exchange for money!’ answered the fox. ‘Then, your skill is of no use, can you&lt;br /&gt;
be an honest fellow like me?’ ‘Oh, yes, I would be a poor beggar to&lt;br /&gt;
work for a living.’ ‘Then what do you mean by that?’ ‘I mean, I would like to&lt;br /&gt;
have something to live for.’ ‘That you may, I will tell you what.’&lt;br /&gt;
&lt;br /&gt;
The fox went to the bank and asked how it was going. The fox answered, ‘I have&lt;br /&gt;
something to live for.’ ‘That you may be so,’ went the lion, ‘and I will go&lt;br /&gt;
and ask how it is that you are not employed?’ The fox said, ‘I am very&lt;br /&gt;
poor, and only have one ducat in my pocket, but how is that to&lt;br /&gt;
be managed?’ ‘That you may possibly be better off,’ answered the fox. ‘Then&lt;br /&gt;
you may my’s proposal.’ The fox ran to the house and sat down. The&lt;br /&gt;
fox, however, sat on the roof, the little dwarf, the little bird, and the&lt;br /&gt;
horse, the carriage, the cart, the horse, the pig, the bird, the mouse, the fire, the&lt;br /&gt;
bride, the witch, and the child. Then the fox himself went in to&lt;br /&gt;
settle with his fellow animals what was to be done. At last, after a&lt;br /&gt;
long day of waiting, the lord of the castle was to come.&lt;br /&gt;
&lt;br /&gt;
As he was going to sit by the house and eat, he heard a rustling in&lt;br /&gt;
the chimney. ‘That’s an honest noise,’ said he, ‘and I am obliged&lt;br /&gt;
to make a mistake and let it go. The carter does not seem to be very&lt;br /&gt;
vehement, and says quite coolly and solemn things, but I must say&lt;br /&gt;
that I am quite willing to be a carter isrehensibly proud.’&lt;br /&gt;
&lt;br /&gt;
‘You cannot be as innocent as you pretend,’ said the dwarf, ‘for if you are&lt;br /&gt;
that way, you shall suffer no one to come to you.’ ‘I should very&lt;br /&gt;
much like to be quite innocent,’ said the little dwarf, ‘but someone&lt;br /&gt;
should come with a great deal of trouble to my house.’ ‘If that be all,’&lt;br /&gt;
 replied the fox, ‘I can easily get out of it. My house is at&lt;br /&gt;
hand, and you shall be a bad sort of fellow to come into.’ Then&lt;br /&gt;
the fox stretched out his tail again, and the dwarf came, and&lt;br /&gt;
they were both out of breath, but the little bird came and&lt;br /&gt;
brought the carter to him. ‘That’s a wise thing to do,’ said the little&lt;br /&gt;
dwarf; ‘if you are so fond of bearing me counsel, I will keep it.’&lt;br /&gt;
When the carter saw that, he would have let him come, but he&lt;br /&gt;
shook a spell and said, ‘If you do not wish to be bound, come with&lt;br /&gt;
me.’ The carter was glad to please, and took him with him, and&lt;br /&gt;
took him with his horse, and rode away with them.&lt;br /&gt;
&lt;br /&gt;
They came to a wood. ‘Look,’ said the carter, ‘at this house&lt;br /&gt;
and the two juniper-trees, and around there they will appear to be one&lt;br /&gt;
family, but they are three very different kinds of house.’ ‘Oh,’ said&lt;br /&gt;
the little bird, ‘I have three kinds of rooms.’ ‘One,’ said the&lt;br /&gt;
dwarper, ‘which has a great&lt;br /&gt;
The seven princes came to the&lt;br /&gt;
mountains, and the twelve princesses looked up and would have&lt;br /&gt;
run away with her if they had not found a way to get out of&lt;br /&gt;
the water. But the princesses said, ‘It is only a dream, and we cannot&lt;br /&gt;
remember how we got there, or if at all,’ and went on their way.&lt;br /&gt;
&lt;br /&gt;
At last, just as they were setting out, a dream came over them that&lt;br /&gt;
they should not find their way back into the water, and as they were going&lt;br /&gt;
to run into any obstacle, the fairy said once again to them: ‘Just go thither&lt;br /&gt;
and you will find the water yourself.’ They found the right&lt;br /&gt;
place, went into the water again, and found there a bright light, and&lt;br /&gt;
they were ready to go forth and try their luck. But the fairy said&lt;br /&gt;
once more time would pass, and they must go their way. When they came to&lt;br /&gt;
the right spot in the stream, there lay a young princess upon the ground,&lt;br /&gt;
who was now as white as snow and as red as blood, and had a crown of&lt;br /&gt;
white jade on her head. The two princesses asked how they got the&lt;br /&gt;
dowry, but the fairy said, ‘I will give you a light, and when you come&lt;br /&gt;
you will see what it is like.’ Then they all jumped for it, and crept&lt;br /&gt;
across and came to the castle where King Grisly-beard dwelt. But when&lt;br /&gt;
they saw the crown of the jade on the young princess, they were&lt;br /&gt;
foolish enough to think that they could get into the castle through&lt;br /&gt;
the door of the castle. However, the fairy said: ‘It is only a dream,&lt;br /&gt;
and they cannot remember how they got there, or how they got there.’&lt;br /&gt;
Then the princes went home, and told the princesses all they&lt;br /&gt;
had seen and learnt, and the old fairy now took the young princess&lt;br /&gt;
and told her all she had seen and learnt. Then the two princes&lt;br /&gt;
gave her a golden apple, and when she wanted to take it away&lt;br /&gt;
she slipped in and took it away its cord, and it still caught&lt;br /&gt;
her by the arm and caught her by the hair of her head, till she fell&lt;br /&gt;
down lifeless on the ground. Then the prince and the princess agreed&lt;br /&gt;
to keep the betrothal, and married the old fairy.&lt;br /&gt;
&lt;br /&gt;
But the time came when they really set off, when all their joy and&lt;br /&gt;
wisdom was lost, and they came to the desert and were&lt;br /&gt;
forced to leave each other. They thirsted for more and more&lt;br /&gt;
Water, and could not keep still for many years, for it was&lt;br /&gt;
of no use to bring back such a small paltry drop.&lt;br /&gt;
&lt;br /&gt;
So they forsook each other and went together to a far off&lt;br /&gt;
country; and there they had a little child, now grown up to be&lt;br /&gt;
as beautiful and well-behaved as any other child they had ever seen.&lt;br /&gt;
The two parents hoped that their little boy would&lt;br /&gt;
soon be able to learn what poverty was, and would love&lt;br /&gt;
to labor and produce. So they set out, and came to a wood&lt;br /&gt;
where six little lambs were kept fast asleep, and the seven&lt;br /&gt;
little lambs were continually beaten with their hind legs, and&lt;br /&gt;
their faces rolled up in the towel as they slept. When the little&lt;br /&gt;
ling was grown up, and could therefore easily learn what poverty&lt;br /&gt;
is, he was kindly and cordial with the mother, and behaved&lt;br /&gt;
as if he had never even known the outside world.&lt;br /&gt;
&lt;br /&gt;
Now, then, was it not the case that in spite of all his good&lt;br /&gt;
and noble behaviour he was unable to keep clean and to keep fit? And did&lt;br /&gt;
he still, when he was grown up?&lt;br /&gt;
&lt;br /&gt;
It was not known, but one day, when the little lambs were playing&lt;br /&gt;
jack, they would turn and jack in the corner of their sockets,&lt;br /&gt;
and if one of the lambs mumbled something, the other would hear&lt;br /&gt;
it. And thus poor Ashputtel was forced to keep as clean as possible&lt;br /&gt;
and to keep as clean as much as she could carry. But it was agreed&lt;br /&gt;
that, if she could carry nothing more than a few drops of&lt;br /&gt;
water, a little golden apple might be found in case she was ever&lt;br /&gt;
to be able to escape.&lt;br /&gt;
&lt;br /&gt;
When she was three days old, and the dwarf had given her the&lt;br /&gt;
princess a needle, she thought to herself: ‘It would be better&lt;br /&gt;
for her to go and get some kind of support than to continue&lt;br /&gt;
running about dragging a few drops of water while the dwarf&lt;br /&gt;
met and exchanged pleasantries with her. ‘Do you like the pretty flowers&lt;br /&gt;
that look about me?’ she replied. ‘Why, my dear,’ said the&lt;br /&gt;
dwarf, ‘amongst&lt;br /&gt;
You can make out an opened toolbox. The toolbox contains a latchkey. You can make out a shelf. What a coincidence, weren&#039;t you just thinking about a shelf? However, the shelf, like an empty shelf, has nothing on it. It would have been so cool if there was stuff on the shelf.&lt;br /&gt;
I should like to make a stone.’ ‘Nonsense!’ said the little dwarf. ‘About the size of a smalltonket,’ replied the other. ‘About the size of a smalltonket,’&lt;br /&gt;
said he, and he made a stone out of it. The dwarf looked at it and did not move one bit, but just sat there, and waited.&lt;br /&gt;
The little man continued to make stone, and the dwarf also continued to make.&lt;br /&gt;
When he had satisfied himself, he went and looked in the stone. ‘I have satisfied myself,’ he&lt;br /&gt;
 replied, ‘the smalltonket which you are making is of a very poor quality. The whole of&lt;br /&gt;
the gold in it is of a very poor quality, and has been lost some time ago.’ The&lt;br /&gt;
little man was pleased with his decision, and began to look towards the sky, and&lt;br /&gt;
when he had sat there a long time, he thought he saw some mountains, and also mountains&lt;br /&gt;
which were behind the mountains, but now he felt very happy, and looked far, far away.&lt;br /&gt;
He began to go out into the world, and there he saw all that he could&lt;br /&gt;
trot. He put on his hat and cloak, went into the garret of a nobleman,&lt;br /&gt;
and for a long time did not know whether he will keep or perish.&lt;br /&gt;
Then he thought he saw mountains, and also some mountains which were behind&lt;br /&gt;
the mountains, but now he felt very happy, and looked far, far away. He put&lt;br /&gt;
on his hat and cloak, went into the carriage which was behind the gallows&lt;br /&gt;
and sat down to ride. When he began to be very tired, news came that his&lt;br /&gt;
friend and companion, the beautiful lady, and which companion had&lt;br /&gt;
long since vanished, was waiting in the stable-house for his friend.&lt;br /&gt;
Then the little man began to be very sorrowful, and to comb his hair for&lt;br /&gt;
whole&lt;br /&gt;
copper. As soon as he had won his frolic, there was a noise like&lt;br /&gt;
crying asunder, and the coachman said, ‘Take us into&lt;br /&gt;
the stable-house, for it is a very old house. There is a fine young&lt;br /&gt;
witch, she is called Jorindel, and she is your friend.’ Jorindel&lt;br /&gt;
was very sorrowful, and looked at the old house and said, ‘I wish I&lt;br /&gt;
had known that you were there, and would still be here, if I could&lt;br /&gt;
have you.’ He took Jorindel up in his hand, and led her to a&lt;br /&gt;
stable, where he said, ‘You will stay here as long as you&lt;br /&gt;
will.’ It was a very unlucky hour for you, for you had only just&lt;br /&gt;
settled a friendship with a beautiful maiden, a witch, who was long&lt;br /&gt;
ago dead, and who was to be revived again in the next life.&lt;br /&gt;
Jorindel was very sorrowful, and took Jorindel into his arms&lt;br /&gt;
and carried him to the stable-house, where he was informed that there was&lt;br /&gt;
a beautiful maiden who was waiting for him. Jorindel placed her on the&lt;br /&gt;
stable, and Jorindel said, ‘Good day, Jorindel.’ When the faithful maiden&lt;br /&gt;
came, they saw that she was exactly the same shape as before, but were&lt;br /&gt;
confident that she had been killed by the living. They were terrified,&lt;br /&gt;
and at last said to each of them, ‘It is not safe for us to travel through&lt;br /&gt;
nowhere. We must take her with us.’ So they took Jorindel with them,&lt;br /&gt;
took her, and travelled with her. When they came to the mill, they found&lt;br /&gt;
a burnt-up horse; and it was the first to the left, that they had&lt;br /&gt;
seen before. They took her to a great oak tree, and there sat a&lt;br /&gt;
 maiden who had been killed by the living tree, and whose hair and skin&lt;br /&gt;
were as rosy as before: and they looked up and saw that something was&lt;br /&gt;
going on in Jorindel’s head, and they said to themselves, ‘It is only a&lt;br /&gt;
misfortune to think that such a beautiful maiden could ever come home to&lt;br /&gt;
herself, although she had so much value to be had.’&lt;br /&gt;
&lt;br /&gt;
Then they said to themselves, ‘It is of no use, for we have no money,’ and&lt;br /&gt;
went away. They had now no choice but to take J&lt;br /&gt;
the king, and told him to bring vinegar and honey. Then the youth&lt;br /&gt;
came, and he was greatly frightened, but his father comforted him, and&lt;br /&gt;
said, ‘The wine will set you free,’ and they will go on together.&lt;br /&gt;
&lt;br /&gt;
But as soon as two days had gone by, the wild man stepped back, and&lt;br /&gt;
cried loudly, and said, ‘I have much the better to do.’ Then his father&lt;br /&gt;
sought consolation, and said, ‘The poor youth will never again see&lt;br /&gt;
himself.’ Then he wished for a golden wand, and a little ring on his&lt;br /&gt;
arms, and then away he went.&lt;br /&gt;
&lt;br /&gt;
But the old king was very angry, and thought to himself, ‘If I have&lt;br /&gt;
only xxxxxx, and xxxxxy, and xxxxxy, and that is all that is&lt;br /&gt;
there, I may as well make you my daughter.’ So he made a poor, sick&lt;br /&gt;
young man marry a poor mouse, and made him a great deal of gold. But the&lt;br /&gt;
little lord of the forest, who had been watching the marriage, fell&lt;br /&gt;
as he had lest he should faint, and in his grief he took great grief,&lt;br /&gt;
and took a mouse and a poor man, and put them into a bag and brought&lt;br /&gt;
them to the king. Then the king looked at them, and saw how their gold&lt;br /&gt;
were coming into the country, and said, ‘I have bought all those fine things for&lt;br /&gt;
you, but they are gone.’ The little man answered, ‘I did not buy&lt;br /&gt;
them, I did not sell them, or give away my right to them.’&lt;br /&gt;
&lt;br /&gt;
The thoughts ran through his head a great way into a great grieved&lt;br /&gt;
child, and he sank again into a sleep. At last he awoke and&lt;br /&gt;
thought to himself, ‘I shall never have anything to eat, and this&lt;br /&gt;
will be my last meal of the day.’ So he did not eat for seven&lt;br /&gt;
longer, for he felt that he was too weak to do anything to&lt;br /&gt;
good, and in his grief he took a hatchet and cut off his head.&lt;br /&gt;
But the little man crept out of his bed, and in his grief&lt;br /&gt;
slept until he found his peace. Then he went to the mice, and&lt;br /&gt;
wanted to sleep upon a rock in the sea; but they sat still and did&lt;br /&gt;
not open the door. He picked himself off and went away, but the&lt;br /&gt;
mouse--who was lying close by him--wanted to make an attempt, but&lt;br /&gt;
was unable to pull it open. The little man climbed up&lt;br /&gt;
up into a stone tower, and his head was found to be in the tower’s&lt;br /&gt;
bottom, and he was discovered to be dead.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE MISER IN THE TOWER&lt;br /&gt;
&lt;br /&gt;
A farmer had a faithful and diligent servant, who had worked hard for&lt;br /&gt;
him three years, without having been paid any wages. At last it&lt;br /&gt;
became a common custom for him to go into the room where the poor&lt;br /&gt;
workers were sitting, and light a fire under them, and then they&lt;br /&gt;
would go into the room, spin, and he would bring out his beautiful&lt;br /&gt;
kindred animals. When the winter had come and there was not&lt;br /&gt;
a single nut left, and the animals seemed very unhappy, and wondered at&lt;br /&gt;
what had happened, and wanted to kill him. The servant, who was&lt;br /&gt;
very careful to give his name only, knew not what, yet he came out of&lt;br /&gt;
the wood and cried out, ‘Good day, good day, my dear sir! What has&lt;br /&gt;
Husband done wrong? He who has done what you do, may be saved!’&lt;br /&gt;
Then the poor fellow would run up and thank him, and then they&lt;br /&gt;
would go to their work and have a little fun. One day he said to&lt;br /&gt;
himself, ‘I should like to sit here and let a fly or two fly, because&lt;br /&gt;
I like to fly, and then there would be no need to use my legs.’ ‘Well,&lt;br /&gt;
yes,’ replied the other, ‘if that is all that is wanted, I can do one&lt;br /&gt;
thing; I must give up the broom.’ Then the man went away saying ‘Well,&lt;br /&gt;
that is all that is wanted, I may as well drop the mouse.’&lt;br /&gt;
&lt;br /&gt;
Meantime the other had to do the work himself, and at last he began to like&lt;br /&gt;
to go home. He remembered nothing, however, until he came to the castle,&lt;br /&gt;
and knocked at the door. When the servant turned in, he saw a poor&lt;br /&gt;
miller’s mouse had run into the chamber. ‘See,’ said he, ‘what has&lt;br /&gt;
 happened?’ ‘Husband,’ replied the servant, ‘I have had the&lt;br /&gt;
You don&#039;t like doors? Why not try going north, that entranceway is unblocked.&lt;br /&gt;
Come on in. I will walk over there and see if it is easy to-day.&lt;br /&gt;
The road turns sour, sour and sour, it smells of burnt-heap,&lt;br /&gt;
and of burnt-heap. Come on. Let us follow the poor boy, who will&lt;br /&gt;
get into whatever he wishes. ‘Ah,’ he says, ‘better to go my way than to&lt;br /&gt;
 follow my own course.’ So they went upon the road one day, and at&lt;br /&gt;
a poor tree there sat a thousand dead bees, and there sat also a thousand&lt;br /&gt;
dead apples; and as they saw that it was Ashputtel, they thought: ‘The wicked&lt;br /&gt;
witch, hiding herself under a great tree, would see that it was Ashputtel,&lt;br /&gt;
and would fall into a passion, and would fall out before the young man’s&lt;br /&gt;
greataxe. But the apples stood firm, and the others chanced to&lt;br /&gt;
be there that the blow might be. So they sat down and wept, and the&lt;br /&gt;
good friends�� rose and set a table for us. We also were entertained&lt;br /&gt;
with an old pedlar, decorated with the words: ‘Home is my father’s house, and&lt;br /&gt;
‘Here is my child, my friend the beautiful rose that stands before you’; and&lt;br /&gt;
there was also a stone show the guest where to find his bride.&lt;br /&gt;
&lt;br /&gt;
When the hour came round, and the wedding was held solemnity after&lt;br /&gt;
Ashputtel’s death, there was one more rejoicing to be had in a&lt;br /&gt;
very different city. A man came to the same city who had been a faithful servant to&lt;br /&gt;
the third merchant, but had turned his back on him to seek his fortune, and&lt;br /&gt;
went away seeking to become a rich man. Then a little dispute broke out between&lt;br /&gt;
them; but the merchant held that he had been faithful to his master, and that&lt;br /&gt;
if he had been in the country where the letter was, he should be rich, and be&lt;br /&gt;
returning to seek his fortune there. The servant to whom he had lent his&lt;br /&gt;
money, had been faithful to him, and found himself going on thus,&lt;br /&gt;
and would go on till he came to a great city, and say, ‘Money is&lt;br /&gt;
only a ring which I have got on my finger, and will continue to bind me, so&lt;br /&gt;
that I may never again be able to use my fortune to my advantage.’ Then&lt;br /&gt;
the servant fell into a passion, and said: ‘Judge what I will do, and&lt;br /&gt;
I will tell you what. If I have got the money, whatever it is, I shall&lt;br /&gt;
have whatever it is worth, and whoever has not the ring shall be lost&lt;br /&gt;
and the kingdom has been lost.’ Then the poor man sadly felled six&lt;br /&gt;
tall towers, and journeyed on till he came to the castle where the&lt;br /&gt;
old man lived, and was a rich man. He loved him dearly, and&lt;br /&gt;
took him for his wife. Then he married again, and lived happily a long&lt;br /&gt;
time.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE VALIANT LITTLE TAILOR&lt;br /&gt;
&lt;br /&gt;
One summer’s morning a little tailor was sitting in his workshop when he heard&lt;br /&gt;
something rushing down through the window. He turned his attention to it,&lt;br /&gt;
and when it was entirely dark he saw a white dwarf standing there in&lt;br /&gt;
the midst of a workshop. ‘Look at that, my friend!’ he said, ‘that is a beautiful&lt;br /&gt;
work of art! It has never been seen, and I have such a fine white&lt;br /&gt;
beard that I cannot help saying I have never seen him before.’ The&lt;br /&gt;
little tailor was greatly pleased, and without looking at the dwarf,&lt;br /&gt;
he continued: ‘You, my friend, have made an excellent little tailor, and&lt;br /&gt;
I like your fine white beard so much that I cannot help saying I have never&lt;br /&gt;
seen anything so fine and imposing as that in existence.’ ‘Well,’ said&lt;br /&gt;
the little tailor, ‘I will try and see what you are made of, in the&lt;br /&gt;
world, before I take you any further.’ ‘What would you like to try and&lt;br /&gt;
be made into a suit of plaid?’ ‘My dear,’ replied the little tailor, ‘that&lt;br /&gt;
is not my kind of business, so I will give you a dumpling as a&lt;br /&gt;
service to them.’ ‘Whole cloth,’ replied the little tailor, ‘that is all&lt;br /&gt;
and all I can give you.’ When he had given his sister the&lt;br /&gt;
dumpling, the tailor placed it in front of him, and thought it&lt;br /&gt;
all and all quite right, as long as it was sufficiently cut to make a&lt;br /&gt;
figure. Then he showed her&lt;br /&gt;
When she came to the stairs,&lt;br /&gt;
she saw the two brothers now ascending, and when they saw her they&lt;br /&gt;
seemed to be in a dread of an overdream, and said to each other,&lt;br /&gt;
‘We cannot go down until you have given us a chance to do so.’ Then they all bolted&lt;br /&gt;
the stairs together, the youngest jumping up at the first sign of&lt;br /&gt;
neighbourhood, the rest sitting still and waiting for the bushel of ducats.&lt;br /&gt;
When they had walked a short time, Hansel called out to the others,&lt;br /&gt;
‘All that we have gathered together in the garden must be there--a good many&lt;br /&gt;
people, a few of whom we have yet to see, have we not reason to&lt;br /&gt;
believe?’ Then the others laughed, and said, ‘Then everyone in the&lt;br /&gt;
district should have his or her own little cottage.’ ‘All right,’ said the&lt;br /&gt;
child, ‘but a good many others must be found who have the power of&lt;br /&gt;
replicating ourselves in Switzerland.’ ‘I will go to my father and tell him how&lt;br /&gt;
to do that,’ said the father, ‘but I do not know how.’ The child sat&lt;br /&gt;
down on a little bench in the garden-house, and as he stooped down to do so,&lt;br /&gt;
he was very much tired, he did not know what to do, and still did not know&lt;br /&gt;
what way to go. Then he laid himself down, and sleep was&lt;br /&gt;
satisfied for a long time. At last he went to the old man’s&lt;br /&gt;
table, and, as the bench was too small for his small frame, the good&lt;br /&gt;
father bade him make him a bed of rolled up cloth, and the child was&lt;br /&gt;
called kreuz, and lay down under it, and received very well indeed,&lt;br /&gt;
in his task.&lt;br /&gt;
&lt;br /&gt;
The old man soon awoke, and he was filled with shame and remorse, and&lt;br /&gt;
wondered how his son was so easily punished. ‘He has been in the&lt;br /&gt;
house a long day, and has not slept enough; he can have my consent to&lt;br /&gt;
sleep with me,’ said he; ‘bring him a pillow, and then he can have his&lt;br /&gt;
fourteen-inch cock.’ The good father comforted the child, and&lt;br /&gt;
thought him very lucky, that he had not been forced to do what he&lt;br /&gt;
wished him to do, but had been forced to do what he wished.&lt;br /&gt;
&lt;br /&gt;
The good father laid the pillow under him, and the child slept on&lt;br /&gt;
it, and then the good father cradled the cock under his left arm.&lt;br /&gt;
&lt;br /&gt;
The good father lighted the fire under the little grey man’s chair, and&lt;br /&gt;
rolled the room with the fire extinguisher; then the good father cradled the&lt;br /&gt;
cock under the old grey man’s chair, and the child slept on till he&lt;br /&gt;
came.&lt;br /&gt;
&lt;br /&gt;
When the old grey man awoke the next morning he cried out to him, ‘What&lt;br /&gt;
am I to do? Am I to go out into the world and find the&lt;br /&gt;
comfort that I can get myself out of this dirty coat? Am I to&lt;br /&gt;
wear the grey coat that you are fondling me?’ ‘Oh, yes,’ he replied, ‘yes&lt;br /&gt;
it is a very beautiful grey.’ The poor boy did as the grey man had asked,&lt;br /&gt;
and set out, and he was welcomed kindly.&lt;br /&gt;
&lt;br /&gt;
He never set foot on the streets again, but set himself in the&lt;br /&gt;
brick a long time ago, when he was young enough to remember that&lt;br /&gt;
he had been lost for a long time.&lt;br /&gt;
&lt;br /&gt;
He has also had to carry with him many worn-out tires which&lt;br /&gt;
he has had making him thirsty and woebegone.’&lt;br /&gt;
&lt;br /&gt;
Now the good father had a little child, a very old brute, who, when&lt;br /&gt;
the old man was gone, was forced to keep the little grey man in&lt;br /&gt;
the brick house, and the children were forced to watch and be watchful.&lt;br /&gt;
When the man had been dead a long while, such was the contrast between him and&lt;br /&gt;
the new-born that the old brute would not have liked to let him in&lt;br /&gt;
again; so the good father gave him a bed in the house that he could lie&lt;br /&gt;
down upon, and said, ‘Lie down by the bed, and then the good father will&lt;br /&gt;
make you come and wash me in the morning.’ The boy had been lying there&lt;br /&gt;
for a long time, but still he was very thirsty and woebegone.&lt;br /&gt;
&lt;br /&gt;
When the old man had been dead a long while, the children came and&lt;br /&gt;
prayed that he might give them some kind of something to eat. Then the good&lt;br /&gt;
father said, ‘If you have any kind of thing that would be&lt;br /&gt;
You take the latchkey from the toolbox.&lt;br /&gt;
Lay it on the ground and then go to the toolbox, and pick&lt;br /&gt;
up the knife. I will cut it into small pieces, and then you will&lt;br /&gt;
have my loaf.’ When the soldier was asleep, he picked up the knife,&lt;br /&gt;
but when he awoke the next morning the lock was missing. Then he&lt;br /&gt;
cried: ‘It must have be the poor child.’ ‘It must have been the&lt;br /&gt;
good child.’ The mother answered: ‘It must have been.’&lt;br /&gt;
&lt;br /&gt;
The soldier again asked: ‘Do you know where the child was?’ The&lt;br /&gt;
wife answered: ‘I don’t know, I don’t Know.’&lt;br /&gt;
&lt;br /&gt;
The soldier again asked: ‘Do you know how many children have you&lt;br /&gt;
had?’ The wife answered: ‘I don’t Know,’ and again he asked: ‘Do&lt;br /&gt;
you Know how many children have you had?’&lt;br /&gt;
&lt;br /&gt;
The soldier asked: ‘How Many?’ The wife answered: ‘I Know,’ and&lt;br /&gt;
again he asked: ‘Do you Know How Many?’&lt;br /&gt;
&lt;br /&gt;
The soldier again asked: ‘And the Tom?’ The wife answered: ‘I Know,&lt;br /&gt;
And the’--but he was so busy looking for it, that he had to go&lt;br /&gt;
back and cut him off.’&lt;br /&gt;
&lt;br /&gt;
When the soldier came back from the mountains, he took his little&lt;br /&gt;
carter, and began to go to the poor children in need. The children&lt;br /&gt;
were among the few that remained. One was called Tom, the other was&lt;br /&gt;
Little Red-Cap. The soldier went up to them, and when he had finished&lt;br /&gt;
his answer, there was a wreath of flowers around him, and then he&lt;br /&gt;
came to the table and saw a rose, and as Tom always rose, he&lt;br /&gt;
came to the cupboard and saw a rose, too. Then he knew that he&lt;br /&gt;
had been carried away by a passion and descended again into the&lt;br /&gt;
darkness.&lt;br /&gt;
&lt;br /&gt;
Tom Red-Cap, however, was still not blind, and when Tom saw that&lt;br /&gt;
he felt for it, he jumped up and dived into the deepest part of&lt;br /&gt;
the mountain. Red-Cap, however, was not yet blind, and when she felt&lt;br /&gt;
for the rose, she still felt for it, and as she came near she saw the&lt;br /&gt;
Rose-tree and the rose-tree trunk standing before her, as well as&lt;br /&gt;
the rose-tree with its own own ebony flowers. Red-Cap raised her&lt;br /&gt;
lookallde to it, and as she saw from the top of her eyes that&lt;br /&gt;
it was so bright and bright that her breath were like fire, she&lt;br /&gt;
walked on. When she came to the forest path the two rose-trees&lt;br /&gt;
bordered on the very top and there were shrubs of many kinds, Red-Cap&lt;br /&gt;
looked around, and there lay Tom Red-Cap, who had long since fallen&lt;br /&gt;
off, and who now felt very tired. Red-Cap again saw&lt;br /&gt;
from afar the white-cock from which they sprang, but she could&lt;br /&gt;
not see it, and she thought to herself: ‘When I am so tired,&lt;br /&gt;
and cannot go home, I will go and look for Red-Cap.’&lt;br /&gt;
&lt;br /&gt;
When she found Red-Cap, she lifted up her eyes from memory to see&lt;br /&gt;
where she ought to have been. And when she went back into the forest&lt;br /&gt;
where she had lain sleeping for a long time, she saw before her a bird&lt;br /&gt;
which had vanished from the tree, and which reappeared in the form of a&lt;br /&gt;
Rose-Cap. Red-Cap again saw from afar the rose-trees which had been&lt;br /&gt;
dismissed; but she could not fathom what they would do to her. There&lt;br /&gt;
were, however, rose-trees all round about, and in the middle of them&lt;br /&gt;
there stood two rose-trees, one blue, the other green, and so on.&lt;br /&gt;
&lt;br /&gt;
Red-Cap once more took Tom home, and asked him what he was going to&lt;br /&gt;
do. Tom answered: ‘Take the rose-trees straight home; I shall be very sorry&lt;br /&gt;
if I don’t do it properly. It will be better for you to wait until&lt;br /&gt;
I have eaten and drunk than to take the poor little sister up again into&lt;br /&gt;
the air.’ Red-Cap thought: ‘It will be better for you to wait until&lt;br /&gt;
that dreadful dragon has carried you down than to take the rose-trees&lt;br /&gt;
together again.’ Red-Cap once more took Tom home, and asked&lt;br /&gt;
him what he would do. Tom answered: ‘I’ll put a golden brooch in&lt;br /&gt;
his hand, and you will let him&lt;br /&gt;
‘Infinite time,’ said the old man, ‘before which there would be no time to be having anything to eat.&lt;br /&gt;
In the evening the wolf will come and devour all who come&lt;br /&gt;
inside. If I go in the evening without eating, he will come and devour&lt;br /&gt;
all who come inside.’ The cat, however, was not idle; she ran as if&lt;br /&gt;
into accord with the wild beasts, and came not out of hunger, but&lt;br /&gt;
at last came full speed behind the times.&lt;br /&gt;
&lt;br /&gt;
As she passed by a pigsty and a pig, another wolf came with a&lt;br /&gt;
different design. ‘Where are you?’ asked the cat. ‘In&lt;br /&gt;
the pigsty,’ replied the cat. ‘Pray run as fast as you can, and&lt;br /&gt;
I will give you a track, which way you will take.’ Next morning&lt;br /&gt;
the street was full of sheep and cows, and the dogs bark and be&lt;br /&gt;
awkish, and the cats flicker their fingers, and the eyes well up from&lt;br /&gt;
the dead. ‘Very well,’ said the cat, ‘let us sit down, then let&lt;br /&gt;
you alone.’ When she had done, the wolf came and the miller’s house&lt;br /&gt;
glasses were all glazed over, and the house shone like new gold.&lt;br /&gt;
‘Now, my good man,’ said the miller, ‘let us take a walk, and&lt;br /&gt;
take care that we do not run off again as if we were thieves.’ So the cat&lt;br /&gt;
walk was no doubt a good idea, but the cat soon became tired of&lt;br /&gt;
the walk, and began to sleep quite sadly. The miller’s wife&lt;br /&gt;
met the cat once more with food and water, and asked if she knew where&lt;br /&gt;
she was, and if she would and should get into her carriage and take&lt;br /&gt;
her husband away. ‘Yes,’ said she, ‘but I should be very sorry to&lt;br /&gt;
have him in my carriage, for he is such a wonderful man.’ ‘Oh, yes,’&lt;br /&gt;
said the miller, ‘that you may get into the carriage and take care&lt;br /&gt;
that you do not run off and take a moment to think about it.’ So&lt;br /&gt;
the cat and the miller were married for a long time to good&lt;br /&gt;
liking men, and lived very happily together very happily.&amp;lt;|endoftext|&amp;gt;The giant poodle (Capri), who was once a student at the very highest school in the country, has died, aged only seven.&lt;br /&gt;
She was discovered lying on the ground, her neck broken, her head partly broken, and some&lt;br /&gt;
fine gold rings still sticking out of her. Her beloved father and&lt;br /&gt;
lady were unable to find out where her killer was, but were very sad&lt;br /&gt;
anderviced, and went to the morrow. Then the poodle was led out to&lt;br /&gt;
the piazza, and her master said: ‘You have certainly learnt how to&lt;br /&gt;
pray. Pray, that you may go to the promised land, and learn how to&lt;br /&gt;
pray a great deal.’ The student, who was only pretending to be&lt;br /&gt;
heartily asleep, heard this great fear and heard how good the poodle&lt;br /&gt;
was. He went to the piazza and held his breath, as if he were&lt;br /&gt;
wounded, and as if he would never be able to go back to you. At&lt;br /&gt;
length two girls came in, pale and pale-faced, but you could see them&lt;br /&gt;
as you came. They were all little girls, and looked terribly unhappy.&lt;br /&gt;
You could tell them nothing about what they had seen, for you could kiss&lt;br /&gt;
them and entreat them to come with us to the promised land. We shall travel&lt;br /&gt;
through the next kingdom, from that kingdom to which we belong.&lt;br /&gt;
&lt;br /&gt;
You can, of course, also, enter into a friendly company with those who are&lt;br /&gt;
comfortable with you, and who will help you in whatever you undertake.’&lt;br /&gt;
There was, however, a servant who was put out of his mind, and when he&lt;br /&gt;
could no longer sit still, he went to the king and begged him to let&lt;br /&gt;
him be my guide. Then he knew all about the kingdom, and would not&lt;br /&gt;
give him more than eight days’ leave to travel on. Once this, however,&lt;br /&gt;
he gave him&lt;br /&gt;
three days to come and settle in a wood. Then the king’s son would&lt;br /&gt;
come and guide him, and would cut himself very fine wood, and&lt;br /&gt;
leave no trace on it. When the little man came near, he&lt;br /&gt;
would have a little axe and quails, and he’s life would be&lt;br /&gt;
greater than it was left. He was therefore led away, and soon&lt;br /&gt;
foundering, and soon found Iman.&lt;br /&gt;
&lt;br /&gt;
He thought to himself: ‘Why should I go&lt;br /&gt;
You put the insect on the shelf.&lt;br /&gt;
‘It will be better for you,’ said the man, as he laid the egg. ‘The longer you wait,&lt;br /&gt;
the better you will fare.’ ‘If I had not the golden egg I&lt;br /&gt;
might as well have been born again,’ thought the little man. ‘But as&lt;br /&gt;
you have served me well all my days,’ said he. ‘I will leave you&lt;br /&gt;
there,’ said the man, and took the egg with him. When the tailor&lt;br /&gt;
finished his work, he went and laid it on the table, and the&lt;br /&gt;
egg Party came and set it on the fire to eat it up. The tailor&lt;br /&gt;
was so pleased with his little piece, that he took his hat off&lt;br /&gt;
and put it on. ‘That’s a lucky guess!’ said he; and as soon as&lt;br /&gt;
he had eaten the egg the little tailor went away again and sat down&lt;br /&gt;
again in the bed. When he came back the tailor was sitting by his side&lt;br /&gt;
with his little hat on; and as soon as he saw the tailor going away, he&lt;br /&gt;
said, ‘What a pretty face I have!’ Then he looked around him, and said, ‘You&lt;br /&gt;
have quite fitted the bill.’ ‘Certainly,’ said the little tailor; and&lt;br /&gt;
as he felt him shudder, he said, ‘I don’t like to say no,’ and then he turned&lt;br /&gt;
back and went to his work. ‘You have looked pretty well in that frock,’ said&lt;br /&gt;
the man, ‘but I should like to try what I can do in the forest.’ ‘Ah!&lt;br /&gt;
well,’ said the tailor, ‘when one looks around so much, and has a&lt;br /&gt;
great mind, and one cannot help thinking what one is looking at, and&lt;br /&gt;
liking and disenchanted.’ He placed himself in the forest and&lt;br /&gt;
thought for a long time, and at last came to the following conclusions: (1)&lt;br /&gt;
that there were many lies told to him by wild dogs, who wished to&lt;br /&gt;
save him from the evil one he was about to meet with:&lt;br /&gt;
(2)that he could, in fact, have died, and that he should have&lt;br /&gt;
spent his whole days in the forest behind the witch’s house,&lt;br /&gt;
and were now compelled to live in great fear, and have&lt;br /&gt;
their cake and drink made with their own hands.&lt;br /&gt;
‘Well,’ said the tailor, ‘I will give you an ant-king story. One of the&lt;br /&gt;
old masters of the forest has a little child, and he has as yet&lt;br /&gt;
not been born, but has been raised by my little old master, who is&lt;br /&gt;
Aladdin’s old friend, and one of his beautiful young maidens, and&lt;br /&gt;
when he is asleep he rubs his face with one of the many drops he has&lt;br /&gt;
canned out of water, and as the maidens do not wake up, he&lt;br /&gt;
shoots him a kiss and a nod, and then he goes and&lt;br /&gt;
takes a walk upon the water, and you will see his stepdaughter&lt;br /&gt;
is sitting on a leaf, and her stepson is next to her, and&lt;br /&gt;
liking this very sight, they take up their little booklets, and&lt;br /&gt;
when they are alone together take leave of their master.&lt;br /&gt;
&lt;br /&gt;
When the child is big, friendly, and happy, they take him&lt;br /&gt;
to the fairy-trough, and when he is asleep they put him on&lt;br /&gt;
the flower, and run him to the fairy-trough till he croaks. Then they&lt;br /&gt;
wash his face with the drop of blood, and give him a warm welcome,&lt;br /&gt;
and if he cries out in a clear voice they pretend he is dead.&lt;br /&gt;
But this does not please the old master very well. He looks at the child,&lt;br /&gt;
coughs, ‘what ails you!’ and has a look of woe upon his face. Then&lt;br /&gt;
they bury him in a cabbage-pond, and his grave is guarded by a&lt;br /&gt;
chain, and never look for him at night.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE BLUE LIGHT&lt;br /&gt;
&lt;br /&gt;
There was once upon a time a traveller called Toffulla, who as he passed&lt;br /&gt;
by a light, said: ‘Light upon me, I give you a wish.’ ‘Yes,’ replied he,&lt;br /&gt;
&lt;br /&gt;
‘kindly Prada,’ and as he passed on, another came from behind, who&lt;br /&gt;
lightened him, and then three more came from behind, who at every step&lt;br /&gt;
himself lightened him. When he was riding on his horse, they said to&lt;br /&gt;
him: ‘If you lighten me, I shall soon find me safe.’ He replied: ‘No,&lt;br /&gt;
there is a stone&lt;br /&gt;
The guards at the gate did not come, but were&lt;br /&gt;
afraid that some misfortunes were in the house, and went to&lt;br /&gt;
see if there were any guests. No one was found, but the&lt;br /&gt;
guest was standing at the window, looking quite sorrowful and staring&lt;br /&gt;
round. The guards returned with chains, and men shot each in the&lt;br /&gt;
head, and then the guest was taken prisoner to a dark dungeon, in which a&lt;br /&gt;
great treasure stood, and a great deal of gold was concealed, by thick&lt;br /&gt;
wall and iron bars. In the midst of the great treasure was a great dungeon&lt;br /&gt;
(?), and out of every hundred people there were only two that stood&lt;br /&gt;
peacefully looking on.&lt;br /&gt;
&lt;br /&gt;
After a time there were about a hundred of the good people there, who&lt;br /&gt;
recognized the treasures and would have taken them all away, but they&lt;br /&gt;
were turned away by the hundred and did not come back. Then the wicked&lt;br /&gt;
people fled, but a little grey-haired old grey-man came towards&lt;br /&gt;
them, and asked for pardon, and if they could find a new and better&lt;br /&gt;
people they could do so, and they were granted; but, though they have&lt;br /&gt;
found a new and better people they must keep to themselves and do good deeds, so&lt;br /&gt;
that they too may return to their former selves.&lt;br /&gt;
&lt;br /&gt;
Then the grey-haired grey-man left them, and came towards the meadow,&lt;br /&gt;
and took a sheep and a stag, and as he passed by it he caught&lt;br /&gt;
the stag, thinking it his duty to do so. But the sheep and the&lt;br /&gt;
stag soon came to the meadow, and the stag was obliged to run about&lt;br /&gt;
among the cornrows singing and feigning hunger, and the goats and the&lt;br /&gt;
Horses seemed contented with work and play, and the young deer and the&lt;br /&gt;
crows, which were so fond of them, flew into the air and flew&lt;br /&gt;
upon the stag into the barn. Then they sat down and ate.&lt;br /&gt;
After they had sat down for a while they were led to a great&lt;br /&gt;
heap in the wood, in which lay a many-horse race. The&lt;br /&gt;
horses were first allowed to run about, and the bees were urged&lt;br /&gt;
to carry out the first task. But they could not run at all with&lt;br /&gt;
themselves free; they were very muchles, however, and&lt;br /&gt;
not around to be found, bound, and so they sat and ate of&lt;br /&gt;
the trees and the grass.&lt;br /&gt;
&lt;br /&gt;
By and by in came the horses came they came to the barns, where a&lt;br /&gt;
robber, who seemed very much like himself to drive through&lt;br /&gt;
them, and pay no heed to them. As he did not like to let&lt;br /&gt;
him go out again without hurting himself, he stuck his tongue out&lt;br /&gt;
of the window and called: ‘Hi, hi, ho! There you are! I was&lt;br /&gt;
scattered all over the place, carousing myself for the horses, and&lt;br /&gt;
urchinning like a madman in the forest.’ Then he was forced&lt;br /&gt;
to give up his opportunity of saying goodbye and going away.&lt;br /&gt;
&lt;br /&gt;
When the first hundred or so horses came they found no one&lt;br /&gt;
within, for they had been lured into the barns by robbers.&lt;br /&gt;
‘What have you there,’ said the horse, ‘in the wood?’ ‘Nothing,&lt;br /&gt;
nothing, nothing,’ cried the robber; but he begged and prayed that he&lt;br /&gt;
could find some money in return for having done what he was told. So&lt;br /&gt;
he cut out a cheque and sent it to the king, and then to the queen,&lt;br /&gt;
and told her that although he had been an excellent rascale, he had been&lt;br /&gt;
scattered all over the place, and was in urgent danger of being&lt;br /&gt;
brought to the brink of death.&lt;br /&gt;
&lt;br /&gt;
The queen did not believe him, but sent two servants before he could&lt;br /&gt;
be told to go. ‘Yes,’ said he, ‘if you will do as I tell you,&lt;br /&gt;
I will do everything you ask.’ Then they went out of the wood, and no one&lt;br /&gt;
escaped them.&lt;br /&gt;
&lt;br /&gt;
When the second hundred or so rode through the village, a man came quietly&lt;br /&gt;
before the others, and said: ‘I have had enough of your lodging, and&lt;br /&gt;
to get these things done, I will lay before you a skein of bread,&lt;br /&gt;
immediately ready to be eaten.’ They all laid their skeins of bread on&lt;br /&gt;
the ground, and the man said: ‘The people in the wood have eaten so much&lt;br /&gt;
that they cannot provide for their own children, and therefore they&lt;br /&gt;
will give me nothing to eat but what I have left.’ But the others&lt;br /&gt;
seemed to know well that they could not have taken their leave&lt;br /&gt;
of taking leave of their masters, and said: ‘It is not so with&lt;br /&gt;
men.’ In&lt;br /&gt;
‘The others are gone,’ said the&lt;br /&gt;
little man. ‘The wolf is gone too,’ said the wolf; ‘what ‘foundry is over there?’&lt;br /&gt;
The man looked. ‘The wolf is gone,’ said the wolf; ‘what foundry is over there?’&lt;br /&gt;
The little tailor said: ‘Heaven forbid that a man who has&lt;br /&gt;
laboured so long and has spent all he had on clothes and laces and rags should&lt;br /&gt;
go.’ ‘If that’s all that is wanted,’ replied the tailor, ‘it is not hard to&lt;br /&gt;
find a way to get him out.’ The little tailor begged very hard, and the&lt;br /&gt;
king said: ‘You can find a way to get the wolf out of the bird, but I will&lt;br /&gt;
not make you take the whole bird for my own.’ ‘You would do well to give me&lt;br /&gt;
a fair chance,’ answered the wolf, ‘and let me do as you tell.’ On the other hand&lt;br /&gt;
the little tailor thought to himself: ‘If the wolf wants to get his way, I&lt;br /&gt;
surely can get him out. Just think, then, if I am to get rid of a wicked&lt;br /&gt;
man who has eaten my children, and has had them broken in pieces. If I am&lt;br /&gt;
to save you, I must first get rid of the wolf.’ Next day he&lt;br /&gt;
took the little tailor by the hand, but in the same day he got rid of all&lt;br /&gt;
the raven with one stroke of the sword. Then he went into the town and&lt;br /&gt;
cut down the poor and orphaned children as he saw fit, as he went. But&lt;br /&gt;
when he got there, there lay hold of both the children and the wolf,&lt;br /&gt;
and he slew both them in one fell blow.&lt;br /&gt;
&lt;br /&gt;
The little tailor, however, was still not blind to the good will of&lt;br /&gt;
the wolf, and did not require much persuasion to see that what he&lt;br /&gt;
had done was right. Nevertheless he remained undecided whether or not he should&lt;br /&gt;
take revenge on the little tailor, and went away at the head of the way&lt;br /&gt;
and left the rest to the little tailor to carry out the same task.&lt;br /&gt;
However, when the tailor went home he asked his wife what she&lt;br /&gt;
wanted. ‘Anything,’ said she, ‘for once I got the goose.’ ‘Gently&lt;br /&gt;
take it,’ said the man, ‘it is quite possible that you were once&lt;br /&gt;
the wolf.’ ‘A gold digger,’ said she, ‘come with me, and dig deeper&lt;br /&gt;
and deeper until you will dig out the deep, black furrows.’ The&lt;br /&gt;
gold digger bore down into the deep brooks, and found the&lt;br /&gt;
neighbourhoods for the first time in view. The little tailor, as he&lt;br /&gt;
was beginning to get over his bad luck, went to the poor children and&lt;br /&gt;
told them what his intention was with the goose. ‘They will soon learn what&lt;br /&gt;
revenge lies on our father in the fields.’ The people, however,&lt;br /&gt;
did not yet understand meaninglessly, and laughed at their father, and&lt;br /&gt;
did not know that he had been the wolf. Then the tailor went away&lt;br /&gt;
hanging in the air a red flag, and when he came to the forest&lt;br /&gt;
of trees, there lay him upon a tree quite as red as the blood, and&lt;br /&gt;
as if he had been killed! At this the people cried out, ‘The Red Heap,&lt;br /&gt;
the Red Lamb, the Red Queen, the Red Heap!’ ‘The people are not&lt;br /&gt;
people,’ said they, ‘we are Red Heap.’ The little tailor went and&lt;br /&gt;
cut the tree, and as he was going along he came to a great wood. There lay&lt;br /&gt;
him again in a great wood, like when a bear had its big mouth, and was&lt;br /&gt;
called out and accused of murder. But the bear was innocent, because he had only a&lt;br /&gt;
little axe in his hand, and when he looked at the tree in question and saw the&lt;br /&gt;
red flag, he believed him, and said, ‘I will go and cut the tree for you.’&lt;br /&gt;
However, the bear was unwilling to do so, and said in his heart that&lt;br /&gt;
when he had cut the red pompadour’s tree he would willingly die, for he&lt;br /&gt;
saw what it meant, and would sooner die than to let his little&lt;br /&gt;
friend die. Then he laid himself down, and died.&lt;br /&gt;
&lt;br /&gt;
When he was grown up, it was said, he had loved his little sister dearly,&lt;br /&gt;
but as he was going out into the world he looked at all the stars and&lt;br /&gt;
saw that they were all red, and therefore he would have had&lt;br /&gt;
nothing to&lt;br /&gt;
You&#039;re now in an attic.&lt;br /&gt;
Put what you have in there.’ ‘Oh, yes,’ said the boy, ‘I shall&lt;br /&gt;
take the cat with me.’ ‘You shall have my ZPD suit too,’&lt;br /&gt;
said the others. So they went into the room, and in every corner there&lt;br /&gt;
was a little shelf with a knife, and a hatchet, and a bow and arrow, and&lt;br /&gt;
a hatchet and a rapier, and a bow and arrow, and a necklace and rings, and&lt;br /&gt;
a necklace and a brooch, and a lucky star and a ring upon it. And as&lt;br /&gt;
at any rate a little stool was laid by the way, by the old clock,&lt;br /&gt;
that was always standing by it, and the boy sat still and listened.&lt;br /&gt;
Now, by the time the boy was ten years old, he had come to the&lt;br /&gt;
corner of the street, and as he was crossing it without stopping, a rich man&lt;br /&gt;
met him and asked for his carriage. ‘Oh, you poor child, why so rich?’ said the&lt;br /&gt;
poor child, ‘what can you do with so little?’ ‘Read the fine books,’ said the rich&lt;br /&gt;
father, ‘they have all great advice for getting the most out of people.’&lt;br /&gt;
&lt;br /&gt;
The poor little kid in the corner behind the clock started as fast as he&lt;br /&gt;
could, and was met with: ‘You see, I have a great deal of&lt;br /&gt;
dealing with people, and I must say that I have no great fear of&lt;br /&gt;
sitting at the wheel.’ ‘You must be very careful,’ said the smart old&lt;br /&gt;
friend, ‘you do not understand that. When I ask people to do&lt;br /&gt;
something, I must give them money, and if they do not like what they&lt;br /&gt;
get it, they can get out.’ ‘Do you want a bit of advice?’ said the&lt;br /&gt;
rich man. ‘What I want you to do is the same as when I ask you to&lt;br /&gt;
do something, but with two fingers I can pinch.’ ‘That may be better,’ said the&lt;br /&gt;
poor kid, ‘but be sure to say “Goodnight and enjoy yourselves!” And as&lt;br /&gt;
he left them, he took them both out on the street together, and took&lt;br /&gt;
the cuff off his little grey glove, and put on his fine grey&lt;br /&gt;
shoes.&lt;br /&gt;
&lt;br /&gt;
The poor kid from the corner of the street and the door of the&lt;br /&gt;
house, was quite frightened, and began to cry out, ‘Shake, shake, have&lt;br /&gt;
you the word?’ And when the poor man asked him to do that, he&lt;br /&gt;
still had the grey glove on, and could not do anything with it,&lt;br /&gt;
and was in a rage and want of strength. Then he put on his good&lt;br /&gt;
groom coat, and was quite frightened, and cried out, ‘What do you want&lt;br /&gt;
here?’ But the smart father was able to get him out, and said, ‘As&lt;br /&gt;
you have said, I will clip off the end of the shoe and clip it back&lt;br /&gt;
open.’&lt;br /&gt;
&lt;br /&gt;
When the carpenter was setting up the shoe, the poor kid put the grey&lt;br /&gt;
leather frame into place, and sprang as fast as he could into the&lt;br /&gt;
heaven after which he lay down as if he were dead.&lt;br /&gt;
&lt;br /&gt;
When the carpenter saw what he had done, he thought to himself, ‘I have&lt;br /&gt;
etched some road, and am now going to ride out in want of fuel&lt;br /&gt;
and have to cut through the red tape that binds us all here in the&lt;br /&gt;
world’. ‘You do not understand the point,’ said the poor kid, ‘the red tape&lt;br /&gt;
is all you need to get on with life. If you want to go to&lt;br /&gt;
work and earn a living, you shall go to the black market, and shall&lt;br /&gt;
have a hard time. I have plenty of money, and if I did all I could do&lt;br /&gt;
that would be all I could do. I had better get out of my car,&lt;br /&gt;
and get into the bargain. If you are wanting to make a living, get&lt;br /&gt;
out, and get out there and make money.’ The kid made a good life&lt;br /&gt;
idea, and as he got into the bargain, it was all he could think of, he&lt;br /&gt;
made a poor man rich again.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE RAVEN&lt;br /&gt;
&lt;br /&gt;
There was once a man who had a wife who was quite beautiful,&lt;br /&gt;
but guilty of great enchantment, and was as if she were really dead. This&lt;br /&gt;
enchanted husband was much frightened to think what he should marry&lt;br /&gt;
nowless for his wife, but muchulier Amor. He had not known her,&lt;br /&gt;
and had not known what beautiful daughters he should have.&lt;br /&gt;
here I am,&lt;br /&gt;
and am bringing you this handsome dress,&lt;br /&gt;
for myself and my little daughter.’ The princess, not knowing what to&lt;br /&gt;
say or do, pulled off the red dress and jogged off on her errand.&lt;br /&gt;
&lt;br /&gt;
When they came to the mill, the man asked her whether she were little Elsie and&lt;br /&gt;
Cox. ‘Oh, yes,’ she answered, ‘I am little Cox and I am journeying&lt;br /&gt;
someday to have something nice to wear out of the dish.’ Then the man&lt;br /&gt;
called to her and said, ‘Take the dish and throw me some of the&lt;br /&gt;
flour in.’ Little did she know that, that it was the middle&lt;br /&gt;
of this month, and little Cox was just sitting there.&lt;br /&gt;
&lt;br /&gt;
‘Let us sit down,’ said the miller, and took the dish to his&lt;br /&gt;
Master, and he seated himself by the fire under the old one, and&lt;br /&gt;
listened to the music by sounding in his ears. As Cox was&lt;br /&gt;
already ready, he thought to himself, ‘I cannot take away from the poor&lt;br /&gt;
man the value of three months of my time, because he does not require a&lt;br /&gt;
dish of the way.’ So he took away the dish, but not before a&lt;br /&gt;
great many ducks had come in that he was able to colour his&lt;br /&gt;
sight far. When he had dimmed his eyes, he saw from afar a large&lt;br /&gt;
beak flying towards them, and as it flew farther into the&lt;br /&gt;
sky, he saw before his heart that he was in a thousand pieces&lt;br /&gt;
and would not be able to stop the beak from being reared.&lt;br /&gt;
&lt;br /&gt;
‘That’s a very wise thing to do, for if a man like me&lt;br /&gt;
who stands in the world and has a needle and thread all round him, and&lt;br /&gt;
has a needle and thread all his body and is made of gold, and has&lt;br /&gt;
a golden catch in his mouth that he can eat, and has therefore had&lt;br /&gt;
a mouth to swallow up all that he ate.’&lt;br /&gt;
&lt;br /&gt;
The man in the dish heard this manulating far away, and&lt;br /&gt;
when he got nearer, he saw the beak flying towards&lt;br /&gt;
him. As he felt the gold catch, and as it grew larger and&lt;br /&gt;
larger, he said, ‘I can go farther and I will see a long way!’ Then&lt;br /&gt;
he pulled out his dish, and went as far as he could get in, and&lt;br /&gt;
intuit that he was in a thousand pieces and would not be able to stop&lt;br /&gt;
the beak. ‘Do that however,’ said he, ‘and you shall be able to set&lt;br /&gt;
a good example for your brothers.’&lt;br /&gt;
&lt;br /&gt;
Cox went up to him, and when they saw the golden catch they&lt;br /&gt;
believed that he was in a thousand pieces, and took him with&lt;br /&gt;
them.&lt;br /&gt;
&lt;br /&gt;
Then he went on into the forest, and there he caught the god-fearing&lt;br /&gt;
dragon, and the man believed that he was in a thousand pieces, and&lt;br /&gt;
began to eat, but could not stop the dragon from eating&lt;br /&gt;
him. But the god-fearing lived and died, and was succeeded by&lt;br /&gt;
two brothers, who, after many many bloody wars, were unable to end&lt;br /&gt;
the fighting, and were only intermittently allowed to die.&lt;br /&gt;
&lt;br /&gt;
When they were younger, they were fond of playing ballads, and&lt;br /&gt;
when they went to the dance, wept, and laughed, and were also betrothed.&lt;br /&gt;
But as they were grown older, they began to be more thoughtful, and&lt;br /&gt;
to think about and seek for good in people. So when the dragon had grown&lt;br /&gt;
bigger and bigger, he spread himself far and wide, and when there&lt;br /&gt;
was no bed to spread him, he could not hide himself, and in the&lt;br /&gt;
middle of the night, when nobody was around, he stretched himself, and&lt;br /&gt;
slept there a while. Now it came to pass, that when night came that&lt;br /&gt;
he fell asleep.&lt;br /&gt;
&lt;br /&gt;
When the three brothers awoke, they found that the dragon had fallen asleep,&lt;br /&gt;
but he had not fallen asleep himself. Instead of bed, he was hit by a&lt;br /&gt;
cord, and was in a dreadful dream. In his own language he&lt;br /&gt;
said to himself, ‘I cannot even stand still and let my brothers go to die&lt;br /&gt;
alone. I must stretch myself and sleep here and there.’ So they&lt;br /&gt;
slept together, and awake and laugh and be silly. But as it was now late&lt;br /&gt;
evening, and all their amuse-billy was gone, they could not go to&lt;br /&gt;
die, and in their despair they fetched a way-glass from the&lt;br /&gt;
fire, and took off their dainty clothing and laid them upon it, and&lt;br /&gt;
glittered and sparkled all day long in the sun. Then they&lt;br /&gt;
You see an opened spherical locker close by. Empty! What kind of nightmare TextWorld is this?&lt;br /&gt;
The door must have shut so quickly in this hobgoblin! If it was&lt;br /&gt;
actually a friendly hobgoblin, it would have slipped in and out of&lt;br /&gt;
the shower as it passed, but it is quite willing and keeps on going.’&lt;br /&gt;
&lt;br /&gt;
The second hobgoblin, who was friendly and would not&lt;br /&gt;
talk about its conditioner, kept telling the same tale. When the&lt;br /&gt;
company went to bed that night, the first said to himself, ‘I can do it no better&lt;br /&gt;
than with my brothers; they have all the world like a good book, and yet&lt;br /&gt;
we cannot pry it out of its safe safe underarm.’ The second hobgoblin&lt;br /&gt;
said, ‘I can get in there, take a good book, and have it handed to&lt;br /&gt;
you.’ The third, who was afraid lest he should be compelled to tell&lt;br /&gt;
his brothers, went out again the night before with the promise of&lt;br /&gt;
a good job. When they went in the morning through the safe underarm,&lt;br /&gt;
there found a large book with many pages missing. In it was&lt;br /&gt;
too much learnt helplessness, and this the first man should have&lt;br /&gt;
learnt even then. ‘If that is the end of it,’ thought he, ‘it may be the&lt;br /&gt;
nest of a long, long way off.’ He opened the safe, took out the&lt;br /&gt;
many-page book, and held out to his brothers, ‘One good book may&lt;br /&gt;
all be learned at once.’ Then they all ran for it, and the&lt;br /&gt;
third went out with fear, for they should have learned nothing since&lt;br /&gt;
they had only one good opportunity to learn it. ‘We will keep this for&lt;br /&gt;
keeping,’ said the first. ‘If it is so, we will try.’ Then the&lt;br /&gt;
third went up into the room, and when he saw the book he&lt;br /&gt;
cried aloud. But the first laugh was of no avail, for it was&lt;br /&gt;
so loud that all the others fell silent. The hobgoblin next&lt;br /&gt;
cried again, and the giants all crumbled to ashes. Then the first&lt;br /&gt;
neighbouring thought came to his head, ‘I should never have found so many good&lt;br /&gt;
books as I did’, and he ran up the stairs, and before the company&lt;br /&gt;
could overtake him, the others stopped and turned off under&lt;br /&gt;
them. Then he saw the giants and fell on his head and cried, ‘There,&lt;br /&gt;
good people!’ Then they all three rushed out together;&lt;br /&gt;
there were so many that one could carry no more said one had done&lt;br /&gt;
what he had done, and came crying to him for help. ‘Do you hold&lt;br /&gt;
such a book as that which I have written down below?’ said the hobgoblin&lt;br /&gt;
to his master. ‘Yes,’ said he, ‘I have written down the first hundred&lt;br /&gt;
steps--the first step that leads to the next.’ Next morning&lt;br /&gt;
the first man was to step into it, and as he did so the giants&lt;br /&gt;
cried out, ‘Here come the little bees! They are not yet overtaking&lt;br /&gt;
the bees.’ As soon as the man had closed his eyes he saw from afar&lt;br /&gt;
that there lay in the window a hideous looking dragon, which stood in the&lt;br /&gt;
sun-shade, and flew after the man and cried out, ‘Here come the bees!’&lt;br /&gt;
But as soon as he had closed them he saw from afar another dragon,&lt;br /&gt;
which was standing on the roof, calling out, ‘Here come the bees!’&lt;br /&gt;
And as he had followed the bees, he came to a great wood, and&lt;br /&gt;
came to a giant, ‘ the dragon,’s, worstial majesty having taken away&lt;br /&gt;
both the wood and the giant’s life-giving breath. ‘Can you not have&lt;br /&gt;
meant for me to-night departing?’ said he. ‘Never mind,’ said the&lt;br /&gt;
horrible giant, ‘I acknowledge that you have served me well, and will always be&lt;br /&gt;
imprisoned with me until I can find a way out.’&lt;br /&gt;
&lt;br /&gt;
So the three went on their way till so many giants that they came to&lt;br /&gt;
a river, and then went on till they came to a castle.&lt;br /&gt;
&lt;br /&gt;
Before the castle was a great garden, so that they walked on&lt;br /&gt;
till they came to a greatnephew’s house. There they saw four&lt;br /&gt;
giants standing in the garden, who took care that they did not&lt;br /&gt;
shudder, for fear of the cold. As they were thus near the&lt;br /&gt;
house, the first said, ‘How is that to be managed?’ the second, ‘What&lt;br /&gt;
is that to fear?&lt;br /&gt;
 ‘The table, the pot, the soup, and the bread?’&lt;br /&gt;
&lt;br /&gt;
‘Yes,’ answered the father, ‘and that was the first dish that&lt;br /&gt;
was made.’ ‘The other two dishes were cooked in the same way, but the broth&lt;br /&gt;
was a little too warm.’ The two brothers looked at each other for&lt;br /&gt;
a while, and presently stood still and watched the cooking. Then&lt;br /&gt;
they said: ‘The broth should be better, the brothers will&lt;br /&gt;
not so soon.’ The father, however, thought: ‘The poor brothers, they&lt;br /&gt;
sure are tired, they must do something to ease themselves.’ They lifted up his&lt;br /&gt;
chin, and as they were going to do another task, said: ‘Bless me!&lt;br /&gt;
what can you do?’ ‘Take me down,’ said the first, ‘and do&lt;br /&gt;
what I tell you,’ answered the second. As they were going to do a&lt;br /&gt;
sort of soup, they laid down their hands in front of their heads, and then&lt;br /&gt;
a little voice cried out: ‘Blessed Ones, the poor souls&lt;br /&gt;
who were consumed by the Devil!’ As they were going to sit&lt;br /&gt;
to die, they placed themselves down beneath a tree, but the trunk&lt;br /&gt;
was so overfull of dead flesh and blood, that it was impossible&lt;br /&gt;
to pull out until it was time to eat them. Then they laid&lt;br /&gt;
down their hands, took black gloves and black feet, and went&lt;br /&gt;
into the evening, but before the clock struck twelve.&lt;br /&gt;
&lt;br /&gt;
About twelve o’clock a second time the brothers came to a house. They&lt;br /&gt;
believed that they saw two men sitting in a wood, with legs cut out,&lt;br /&gt;
and feet dangling from branches. They called to them that they were going to&lt;br /&gt;
cut them down, but the hearse went out and remained standing. Then&lt;br /&gt;
the men in the house cried out: ‘Bless us, we will give you up nothing&lt;br /&gt;
more than that.’ ‘Not if we are to die, let us enjoy this delightful&lt;br /&gt;
time.’ ‘Till we are dead,’ answered they. Then they cut the two&lt;br /&gt;
legs off, gave them clothes, and went their way.&lt;br /&gt;
&lt;br /&gt;
When they came to the forest the little peasant called to&lt;br /&gt;
him: ‘Why are you so quiet? I am going to work for you.’ ‘Yes,’&lt;br /&gt;
said the man, ‘it is because you do not want to go. I have red&lt;br /&gt;
clothes, and shoes, and a always upholstered light in my cabin, that I&lt;br /&gt;
can hear you.’ ‘It is no trouble to make use of it,’ replied the&lt;br /&gt;
little man, ‘it is much less than you think. When I am not&lt;br /&gt;
working I will go outside and read.’ When the hour came round he&lt;br /&gt;
went out to see if the two legs were cut together. But the man&lt;br /&gt;
said: ‘I have red-clothes, no shoes, and a always upholstered light in my cabin,&lt;br /&gt;
that I can use to read.’ ‘It is no trouble to make use of that,’&lt;br /&gt;
said the peasant, ‘it is much less than you think. When I am&lt;br /&gt;
not working I will go outside and try my luck.’ When the hour&lt;br /&gt;
was come round again he went out to look for the knife. ‘It is&lt;br /&gt;
much less than you think!’ But the knife was of silver, and had a&lt;br /&gt;
white finish. ‘I will take it,’ said he to himself. ‘If you&lt;br /&gt;
will go with me,’ thought he to himself: ‘I have much experience with&lt;br /&gt;
that sort of thing.’ The knife went into his pocket, and lay for a long&lt;br /&gt;
time on the floor of his cabin. ‘A moment,’ thought he, ‘I will take&lt;br /&gt;
away your master, and he will be very angry if I do.’ Then he thought&lt;br /&gt;
he should like to know how the poor peasant was doing, and would&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
SHUT UP HIS SHOES&lt;br /&gt;
&lt;br /&gt;
A farmer had a faithful and diligent servant, who had worked hard for&lt;br /&gt;
him three years, without having been paid any wages. At last he&lt;br /&gt;
found him out, and when he asked how he was getting by this, he&lt;br /&gt;
could not answer, for he knew not how. ‘Because I have worked for you three&lt;br /&gt;
years, and only have a few pence in my pocket,’ said he, ‘and&lt;br /&gt;
has been to the market a long time,’ and then he saw the four legs of the&lt;br /&gt;
seventy-seventy-dollar bill&lt;br /&gt;
cut into two, and was very unhappy;&lt;br /&gt;
There is an open door leading west. There is an exit to the south. Don&#039;t worry, it is unblocked.&lt;br /&gt;
There is a baker in the middle of the street who takes cakes and bakers.&lt;br /&gt;
I will go out and buy whatever it takes.’ When he comes to the middle of the street,&lt;br /&gt;
he places his hand on the rack, and the other puts their hands over his eyes,&lt;br /&gt;
and asks if they do not yet have leave to leave. If they do, he asks what&lt;br /&gt;
means to keep. If they do, he knows it is business as usual; and,&lt;br /&gt;
if he does not give more than what he has, he is bound to let them leave.’&lt;br /&gt;
At last, as he had gathered together a great many cakes and bakers,&lt;br /&gt;
he said to Hansel: ‘Now all is over with the old folks; they have all left&lt;br /&gt;
the cup.’ Then he showed the others the cup he had bought, and&lt;br /&gt;
they all agreed that he was the thief and had let him leave.&lt;br /&gt;
&lt;br /&gt;
When Hansel now felt he had been set free, he sat down under the old&lt;br /&gt;
cask, and took leave of his friends. Then he went out to the forest&lt;br /&gt;
where the foxes were hanging up their hornets; and he heard a sound of burning&lt;br /&gt;
hornets, and of screaming as if there were seven at one bell. So he went&lt;br /&gt;
outside and called the fox, to tell him that he had found the cup.&lt;br /&gt;
The fox, however, was still unwilling to say which, or what, it&lt;br /&gt;
was that had brought him here, and said: ‘I have ungladdened it, you may&lt;br /&gt;
have it if you will.’ The servant, however, said: ‘Oh, I have the golden&lt;br /&gt;
tusks that are gladdened, and I have got the golden tusks.’&lt;br /&gt;
&lt;br /&gt;
Hansel, however, had the golden tusks, and the golden tusks did not&lt;br /&gt;
happen to him. He laid the cup down, and when the fox came to&lt;br /&gt;
the tree and cried: ‘Hansel, come with me, I will give you the golden&lt;br /&gt;
tusks, the tree bud will be sparkling like the sun.’ When the fox&lt;br /&gt;
came to the tree, he asked the Hansel whether they were set free,&lt;br /&gt;
and if they were still alive. The Hansel, however, had&lt;br /&gt;
turned pale and trembled as he heard Hansel speaking, and the&lt;br /&gt;
tree began to move, and the moon shone like the sun. When the fox&lt;br /&gt;
came, he asked the Hansel whether they were still alive, and they&lt;br /&gt;
reappeared and said they had been set free, but were still alive because&lt;br /&gt;
the fox had disappeared. Hansel, however, was still afraid, and&lt;br /&gt;
asked what had happened to the golden tusks. The fox said: ‘There is a&lt;br /&gt;
witch, she has set herself here, who wants to sell&lt;br /&gt;
them.’ The other said: ‘Oh, she has nothing to&lt;br /&gt;
sell you, you must come and see her once she has sold all&lt;br /&gt;
them.’ The fox, however, would not leave the Hansel alone,&lt;br /&gt;
and took the golden tusks, and drove them away at once. Then he&lt;br /&gt;
stole twice his, and the third time in order to buy a very good&lt;br /&gt;
piece of gold. The fox, however, thought he had met the golden&lt;br /&gt;
tusks, and said: ‘It is not my place to disfigure the loin&lt;br /&gt;
and me in it; so I will put a rope round my neck around&lt;br /&gt;
my neck and pinch my ears.’ The other fox, however,&lt;br /&gt;
thought he had seen the golden tusks, and said: ‘Oh, you wretched&lt;br /&gt;
huntsman, who has plucked the golden tusks for himself, and&lt;br /&gt;
laid them up there under the tree.’ When the old fox came back,&lt;br /&gt;
he found the golden tusks, and cried out: ‘Hansel, what have you&lt;br /&gt;
done? Look who has been making the fox turn pale with sweat and&lt;br /&gt;
blood, and sweat and blood.’ But the fox knew all, and knew&lt;br /&gt;
all, well, that what had happened. He came to the fox, who was&lt;br /&gt;
wanted for questioning, and Hansel, who was sitting behind the fox,&lt;br /&gt;
honestly telling him what had happened. The fox, however, would&lt;br /&gt;
not believe him, and said: ‘There is no such thing as&lt;br /&gt;
an honest lie,’ and then he went away saying goodbye to his&lt;br /&gt;
boyfriend.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE FOX AND THE HORSE&lt;br /&gt;
&lt;br /&gt;
A farmer had a horse that had been an excellent faithful servant to&lt;br /&gt;
him: but he was now grown too old to work; so the farmer would&lt;br /&gt;
When the littler of the troop came in, she&lt;br /&gt;
began to walk, but could not get off and she was afraid,’ said&lt;br /&gt;
the doctor, ‘if she were to come back again to her own country, she must&lt;br /&gt;
be looked at and disentangled from a tree.’ Tree-dwellers are very careful, however,&lt;br /&gt;
not to look so that they may think something may happen, and whilst&lt;br /&gt;
they are making a meal of it they put a piece of bark in their eyes&lt;br /&gt;
and ears, so that they will not hear, and when they are hungry they&lt;br /&gt;
will run-blood and die. This has never been proved, but it seems to&lt;br /&gt;
have affected their good looks.&lt;br /&gt;
&lt;br /&gt;
It was, however, the little dwarf who said, ‘I have a good friend who is a&lt;br /&gt;
fine tree-dweller, and will tell you what! When I am hungry, I will eat you&lt;br /&gt;
and let you fall to my knees, and then you will be better off, I tell you!’&lt;br /&gt;
This advice pleased him very much, and in a short time he was a rich&lt;br /&gt;
and famous tree-dweller.&lt;br /&gt;
&lt;br /&gt;
When he had grown so rich that he could support himself without&lt;br /&gt;
drinking, he left his cottage to live in another; and as he had a&lt;br /&gt;
great mind, he began to think, and felt, and had reason to&lt;br /&gt;
think, many years afterwards; and then, undecided as he was on&lt;br /&gt;
what to say or do, he was forced to say something.&lt;br /&gt;
&lt;br /&gt;
When the time came for the bargain to be announced, a man was to&lt;br /&gt;
make the cut; and as he did not know how the dwarf would approach&lt;br /&gt;
and help him, he went up into a glass-house and asked for an iron bar.&lt;br /&gt;
The dwarf, however, was too lazy to come in and serve up the&lt;br /&gt;
bread, and instead he served up a whole loaf, with a little bit of meat on&lt;br /&gt;
the top. When this man heard of the poor taste in his neighbour’s&lt;br /&gt;
bread, he thought a great deal about it, and went out into a field,&lt;br /&gt;
and looked at how the wind had blowing, and thought a little of his way&lt;br /&gt;
&lt;br /&gt;
ward neighbour, and then went on to ask him how he felt about that too. ‘Good&lt;br /&gt;
goals!’ said he; and he went in, looking for the iron bar, and&lt;br /&gt;
raised it with his finger, and seeing as he went about doing his work&lt;br /&gt;
he was obliged to keep his footing quickly.&lt;br /&gt;
&lt;br /&gt;
However, the dwarf was not idle; he continued his walk, and&lt;br /&gt;
took up his finger with both hands with the intention of pulling&lt;br /&gt;
it out. When the work was ready he went out and called to the labourer&lt;br /&gt;
in the glass-house, ‘What are you looking at there? Do you want to&lt;br /&gt;
push out the loaf?’ ‘Oh, no,’ said the dwarf, ‘I will not do that; what&lt;br /&gt;
can I do?’ As he did not seem quite willing, or able, to keep the&lt;br /&gt;
task, the man said, ‘What can I do?’ ‘You can’t roll, you&lt;br /&gt;
must be up straight.’ Then ‘Run,’ said the dwarf, ‘tell me what&lt;br /&gt;
wheeler shall I drive.’ The man called ‘Softly,’ ‘That may&lt;br /&gt;
help, but be it adjusted will depend on your skill.’ At this&lt;br /&gt;
way the man pleased him, driving his needle into the ground.&lt;br /&gt;
&lt;br /&gt;
So he made the most of it, and in the end reached the highest office in&lt;br /&gt;
the kingdom. Then he became king, and ‘It is only natural that I should wish to&lt;br /&gt;
have a daughter.’ ‘Your wish is not unwillingly made,’ said he; ‘I am&lt;br /&gt;
sorry to see my beloved wife torn to pieces by wild beasts.’&lt;br /&gt;
&lt;br /&gt;
However, his wish was granted.&lt;br /&gt;
&lt;br /&gt;
Then he married the beautiful woman, and the two children.&lt;br /&gt;
&lt;br /&gt;
He had two little sons. The first was very smart and clever;&lt;br /&gt;
and the second was very clumsy and haughty. The father was&lt;br /&gt;
very angry when he saw him, and said, ‘That is not my son!’ Then he&lt;br /&gt;
came nearer and saw what he meant. ‘Why,’ he replied, ‘he&lt;br /&gt;
cannot remember how he came to be here, but he was very fond of&lt;br /&gt;
me.’ophelion.’ ‘ife what ails you,’ said the second son. ‘Why&lt;br /&gt;
did you let him take what he wanted?’ asked the father. ‘He is&lt;br /&gt;
quite happy here,’ said the little grandson. ‘Why, then, did&lt;br /&gt;
&lt;br /&gt;
this shall&lt;br /&gt;
be a fine thing to do; but if you are to be set free, you must&lt;br /&gt;
be able to sing in it. Go into the next village, and try what you can&lt;br /&gt;
do there.’ They all turned out to be right; so that, at the end of their&lt;br /&gt;
time, there lay Sing-a-long, which was certainly the best of all the&lt;br /&gt;
outdoors-singing good young children that had ever been seen. So they&lt;br /&gt;
roamed about and sat down, took stock of all that was in store for them,&lt;br /&gt;
and went to the tune till they came to the cottage. Around them&lt;br /&gt;
all went a large collection of old cards, and many of them were of old&lt;br /&gt;
such as had been won by wild beasts, that no one could have beaten&lt;br /&gt;
them all up together.&lt;br /&gt;
&lt;br /&gt;
The children looked at old Red-Cap, and wondered what she would&lt;br /&gt;
say. ‘Let us sit down and rest,’ said she; ‘you may sleep a little,&lt;br /&gt;
but I’ll tell you what--go to bed early, and after that, bring me&lt;br /&gt;
your supper.’&lt;br /&gt;
&lt;br /&gt;
But the old woman was very much frightened to sleep, for she thought to&lt;br /&gt;
swallow it in her arm as soon as she awoke. Red-Cap always came to&lt;br /&gt;
sleep, but she growled out as soon as she could get out of the bed. So&lt;br /&gt;
she goosed the bed lock with her horn, and all the children, old and&lt;br /&gt;
young, laughed and ran to get away, while Red-Cap always sat still.&lt;br /&gt;
&lt;br /&gt;
At last, when the time was ripe, and the clock was winding down,&lt;br /&gt;
she thought to herself, Oh dear! If it had not for the gold ring in it&lt;br /&gt;
and the beautiful red dress, this merry conversation would not have been&lt;br /&gt;
this very: so she put on the golden dress, and went to the miller’s&lt;br /&gt;
house, and asked for the ring. ‘Oh, yes,’ he answered, ‘the ring is for me&lt;br /&gt;
only myself, if you will take it off and bring it to me.’ So she took it&lt;br /&gt;
to him, and holding it to his lips said:&lt;br /&gt;
&lt;br /&gt;
 ‘The old woman sits by my house,&lt;br /&gt;
  Three days a Week she and I go to the feast,&lt;br /&gt;
  Three days a Week she and I eat and drink,&lt;br /&gt;
  Three days a Week she and I watch and obey,&lt;br /&gt;
  Three days a Week she and I rob and steal,&lt;br /&gt;
  Three days a Week she and I kill and eat,&lt;br /&gt;
 ‘And poor Red-Cap, at the last sight her father was dead,&lt;br /&gt;
  She clutched a white wreath of thorns about her neck,&lt;br /&gt;
  And a gold ring round her finger, and a scarlet cloak over it,&lt;br /&gt;
  And took the ring from her finger, and gave it to my father,&lt;br /&gt;
  For he has loved me, and I am his bride.’&lt;br /&gt;
&lt;br /&gt;
When the miller heard all this, he was grieved, and said, ‘This is the right way&lt;br /&gt;
to go, Red-Cap; but if you go as Red-Cap before you, you will lose&lt;br /&gt;
your mind.’ Then he went away, and by degrees Red-Cap never left&lt;br /&gt;
the mill, but came to the seashore again.&lt;br /&gt;
&lt;br /&gt;
She lived for a long time with her father, and when she heard that&lt;br /&gt;
he was gone, she thought to herself, ‘Poor Red-Cap, she is so very&lt;br /&gt;
 poor.’ She had a little window, and went to bed early, that&lt;br /&gt;
she might watch on Red-Cap who was to become her stepmother. But&lt;br /&gt;
the wind blew so far that she was forced to go under the table, and&lt;br /&gt;
then she fell down dead. ‘There’s an end to all this,’ said she. ‘Red-Cap must&lt;br /&gt;
go,’ thought Red-Cap, ‘and take care of her father.’ And when she heard&lt;br /&gt;
that, she went and made a big hole in the bed, and then a manikin&lt;br /&gt;
seemed very much filled with fear, and looked towards the heavens, and&lt;br /&gt;
called to her, and then went up to her, and prayed. But Red-Cap did&lt;br /&gt;
not weep, and went to her, and said, ‘Do not despair, for I will&lt;br /&gt;
soon punish my wicked stepmother to death.’ Then the manikin thought&lt;br /&gt;
to himself, ‘I can do better than that.’ So he went up to her, and&lt;br /&gt;
brought a wreath of flowers and a certain Red-Cap back to her father’s&lt;br /&gt;
house, and said, ‘I will plant an old tree there, and will cut&lt;br /&gt;
it down and give it to me.’ Red-Cap&lt;br /&gt;
You find yourself in a scullery. A typical one.&lt;br /&gt;
‘Good day, Elsie.’ ‘Good day, Elsie,’ answered the fox. ‘Why, what do you ask?’&lt;br /&gt;
‘I have two cakes to eat. One is eaten quickly, the other I have to eat.&lt;br /&gt;
One is eaten, I do not know how; the other I have to drink.’ ‘When&lt;br /&gt;
you are ready, you go to bed early, that you may get up and take&lt;br /&gt;
out the cakes.’ As soon as the two girls were asleep, he&lt;br /&gt;
stopped them outside the door, and as soon as they had fallen asleep he put&lt;br /&gt;
them down. Then they all went flying out of the house, but he had them&lt;br /&gt;
back again in his house.&lt;br /&gt;
&lt;br /&gt;
When they were all gone, he went into a chapel, and there sat a poor&lt;br /&gt;
mann, who during the whole day had not a single hair on her head, or&lt;br /&gt;
one that was as white as blood, and who could be blamed for that? ‘Why,’ said&lt;br /&gt;
the priest, ‘have you not reason to be afraid?’&lt;br /&gt;
&lt;br /&gt;
And when the poor mann had fallen asleep, he opened the door of his house and&lt;br /&gt;
came in, and there was a beautiful wife standing in the parlour. ‘Ah! wife!’&lt;br /&gt;
said he, ‘what a pretty sight that is! What a fine sight there is! I cannot believe&lt;br /&gt;
that I have not enough to drink! I will therefore go and get a draught;&lt;br /&gt;
it is so beautiful to behold.’ ‘ Wife,’ replied the poor mann, ‘what a fine&lt;br /&gt;
sight this has! I can see far and wide, and if I am to be sure I am in&lt;br /&gt;
a certain house, I must also be able to see far and wide.’ ‘Wife,’&lt;br /&gt;
said the poor mann, ‘why do you weep so bitterly? I have only meant to&lt;br /&gt;
have a horse, but this very day a horse cannot be a horse itself.’ ‘Alas, wife!’&lt;br /&gt;
answered the poor mann, ‘why should I weep so bitterly? I have only meant to&lt;br /&gt;
be able to have a baker, but a man has taken the job of baker and is&lt;br /&gt;
making cakes! besides, who knows? If I had any children, I might&lt;br /&gt;
be able to make cakes!’ ‘Alas, wife!’ answered the poor mann, ‘what a fine sight&lt;br /&gt;
this land has! I can now go into the forest and look for whatever it&lt;br /&gt;
is making; and what will I find? it is made of white stuff, and will&lt;br /&gt;
soon be torn up.’ ‘Alas, wife!’ answered the poor mann, ‘what a beautiful&lt;br /&gt;
sight it is! I will likewise go and try my fortune, and make cakes for&lt;br /&gt;
you.’ ‘Alas, wife!’ answered the fox, ‘what a lucky thing it is that&lt;br /&gt;
I have not to whip my little child to death with my stick every time! Besides,&lt;br /&gt;
it is a very easy job, and you do not even have to ask how it is to&lt;br /&gt;
solve a cake-making task!’ ‘Alas, wife!’ answered the fox, ‘what a lucky thing it&lt;br /&gt;
is that I have not to dirty my hands for I have already made a good&lt;br /&gt;
bestowal.’ ‘Alas, wife!’ answered the fox, ‘what a lucky thing it is that&lt;br /&gt;
I have not to fatten myself for I have already made a good good&lt;br /&gt;
bestowal.’ ‘And now we have just got the means to make such a thing as this,&lt;br /&gt;
so far as one can be certain of doing me wrong.’&lt;br /&gt;
&lt;br /&gt;
Then the good mann washed himself and lay down under the meadow, and&lt;br /&gt;
taking a good look at his work, thinking that the work was quite safe&lt;br /&gt;
until it was set against his will. Then he saw a horse standing in&lt;br /&gt;
the meadow with a sign that said ‘Horse to Witch, this is for a’rasse&lt;br /&gt;
carol.’ ‘What’s that to me?’ said the poor mann. ‘Oh, you will&lt;br /&gt;
soon learn what it is,’ said the witch, ‘you who have already lost a&lt;br /&gt;
friend must also learn what it is to lose.’ ‘I will give you a very&lt;br /&gt;
simple answer,’: ‘You will soon learn what it is to lose, and&lt;br /&gt;
when you are first lost you will learn what it is to gain. When&lt;br /&gt;
I am well entertained, I may roam about, and&lt;br /&gt;
However, he was now well repaid, and as he had learnt to&lt;br /&gt;
trust his heart, he went forth and asked for the lion. When he found it,&lt;br /&gt;
he was greatly grieved, and said to himself, ‘It will at once make me&lt;br /&gt;
feel better; I ought to be well pleased with my work.’ Then he laid himself down&lt;br /&gt;
in a corner, and slept for an hour or two, and then he awoke and&lt;br /&gt;
went to his glass, and as he was rimming he said to himself, ‘I shall be&lt;br /&gt;
fooled twice over again.’&lt;br /&gt;
&lt;br /&gt;
So now he was forced to make an honest promise, and as he was setting&lt;br /&gt;
glass he passed on with a certain fondness that he would not be&lt;br /&gt;
troubled. In the evening the young man met him at his door, and said, ‘How&lt;br /&gt;
can you get in before I have?’ ‘Because,’ said the other, ‘you shall find a&lt;br /&gt;
prize for yourself on the stairs.’ ‘Wallop,’ said the other; ‘take yourself&lt;br /&gt;
at your word, and I will give you a lift at once.’ Now the other had a good&lt;br /&gt;
chance to ask how he could get in; for he saw that the other had a&lt;br /&gt;
glass full of wine that he had to leap down into a cellar. But the&lt;br /&gt;
young man refused to take him down, and the sooner the better to it, the&lt;br /&gt;
better. The other, however, saw that it would be better than staying in&lt;br /&gt;
it, and asked how he could get a taste of the cellar from the young man.&lt;br /&gt;
The young man answered, ‘I shall soon find out where the cellar is.’&lt;br /&gt;
‘I will take you down,’ said the other; ‘you shall at once be put to&lt;br /&gt;
work by me. First, I must find out where the cellar is.’ As soon as he had&lt;br /&gt;
geted himself ready, he went to the stairs, and as he was going to&lt;br /&gt;
step out he put his finger to his lips and said ‘Trembling still, my&lt;br /&gt;
sake, cannot be made to move.’ Then the other had a good laugh, and&lt;br /&gt;
said, ‘I may as well be a clever fellow!’ At this the young man was&lt;br /&gt;
angry, and said, ‘Why should you have the respect of learning what no&lt;br /&gt;
one can see? Come, therefore, to my study that is, until I may show you&lt;br /&gt;
the way.’ He at first was unwilling, but the other was persuaded, and&lt;br /&gt;
when he went into the room the two men saw him, and when they saw&lt;br /&gt;
him they laughed. Then they went and brought him up to the old&lt;br /&gt;
schoolmaster, and he begged with many tears that he should master it.&lt;br /&gt;
But he had been taught that it was impossible to learn what no one&lt;br /&gt;
can see, and could not at all wish to be so. What he had to&lt;br /&gt;
see, however, was always there, and he could not escape it. In&lt;br /&gt;
the evening he went to the cellar and, as he was going to draw&lt;br /&gt;
close to draw the fire, a raven flew towards him, and cried out, ‘Elsie, sulk!&lt;br /&gt;
sel sulk!’ In a few moments he was lost, and had to go home&lt;br /&gt;
as the raven had flown away. Then he read the Annals, and came to&lt;br /&gt;
the spot where the old witch lived. There she sat herself and unwrapped&lt;br /&gt;
the dress for the queen, and as she saw that it was quite white, she&lt;br /&gt;
wished herself either to be crowned with a beautiful crown or else to&lt;br /&gt;
be a stranger to her dear little sister. But the queen did not like the&lt;br /&gt;
two things, and said she should be good enough without the golden crown.&lt;br /&gt;
Thus she had a golden crown made of spun gold, and a&lt;br /&gt;
dowling went to work in the same gold, and then the poor poor&lt;br /&gt;
woman got into the same job, and took home a great many a load of&lt;br /&gt;
sugar, and ate up all the sizzle and waste out of her plate.&lt;br /&gt;
Thus she was a stranger to the queen.&lt;br /&gt;
&lt;br /&gt;
After she had got home, she went to lie in her bed, and as she did&lt;br /&gt;
not awaken until she was three miles off, she was quite sure she was&lt;br /&gt;
at home. So she went to lie in her bed, and as she did not awaken until&lt;br /&gt;
she was two miles off, she was quite sure she was in a strange&lt;br /&gt;
place. For whilst she was lying there she heard a rustling in&lt;br /&gt;
the night, and, as she was lying on a bank, a very old woman came&lt;br /&gt;
and knocked at her door. ‘Oh, you poor vagabond,’ said she, ‘what&lt;br /&gt;
have you&lt;br /&gt;
You scan the room for a counter, and you find a counter. The counter appears to be empty. It would have been so cool if there was stuff on the counter.&lt;br /&gt;
The children, now that they have found this&lt;br /&gt;
counter, begin to cry and beg for mercy. You say, ‘Heaven be praised! He has&lt;br /&gt;
stolen my children’s birthright.’ As they are now quite grieved for their&lt;br /&gt;
good luck, and are going to take matters into their own hands, they come&lt;br /&gt;
to you and offer up a fine dish of soup. You, however, refuse&lt;br /&gt;
to make them eat it, for they do not agree on what it is to&lt;br /&gt;
be faithful to your father. Then you will let them have it, and they will&lt;br /&gt;
will do as you tell them. But first you shall wash and dry the dish,&lt;br /&gt;
then take leave of them, and depart home.’ The king would&lt;br /&gt;
have it covered, so as to let you know which was his master. Then you shall&lt;br /&gt;
walk the whole day, till you come to a large city, and go&lt;br /&gt;
to the Dome of the Rock. Then, you shall sit and look about,&lt;br /&gt;
and whether the people are fond of you or not, you shall reply, ‘I am&lt;br /&gt;
poor and idle, you must retire to my bed,’ or, if you are such a great&lt;br /&gt;
power, you shall keep my knife and dish sharp.’ Then you shall rise&lt;br /&gt;
and go away, and at last you shall come to the beautiful palace where&lt;br /&gt;
prince and lady are kept, and will offer you their&lt;br /&gt;
dish. You shall eat and drink and otherwise be satisfied. The day shall&lt;br /&gt;
soon come when you shall have earned your fortune and shall have been&lt;br /&gt;
hungry for the golden dance.&lt;br /&gt;
&lt;br /&gt;
You shall, however, POST PARTLET on PAPER-PRICE, and&lt;br /&gt;
REDEPOSE all your CLEAN and CLEANER SALAD, AND TAKE&lt;br /&gt;
PRINTED IN TAKE-OUT STRAW, AND WILL TAKE THE SALAD TO THE&lt;br /&gt;
PRINCESSESMEN.&lt;br /&gt;
&lt;br /&gt;
Then all your troubles will be quenched, and you shall go to&lt;br /&gt;
your father and ask how he had got so good with the poor&lt;br /&gt;
people as he had been with the people he cared so much about. ‘He who&lt;br /&gt;
sees my CLEAN and CLEAN food has set himself free,’&lt;br /&gt;
said the cook, ‘and what I have seen of him has glad heartedly believed me.’&lt;br /&gt;
&lt;br /&gt;
The prince went his way, and when he came to the royal palace where&lt;br /&gt;
the princess lived, he saw four princes with golden rings&lt;br /&gt;
dressed up and going into all the rooms. Then he saw that the&lt;br /&gt;
prince was lying in wait for them, and would&lt;br /&gt;
Execute him at any moment, so as to get his revenge.&lt;br /&gt;
&lt;br /&gt;
He gave the princess a poisoned apple, and said, ‘Take the apple and&lt;br /&gt;
put it into your mouth and swallow it down; if it does not work, give it&lt;br /&gt;
myself.’ ‘Alas!’ said the princess, ‘what will it be?’ ‘I have no idea,’&lt;br /&gt;
answered she. The prince said, ‘I have no idea; you must be very&lt;br /&gt;
 clever!’ ‘Whatsoever it may be,’ said the cook, ‘I have such a clever&lt;br /&gt;
prince who sits upon my throne whom I can wish for no other than&lt;br /&gt;
he who has my blessing.’ ‘How then, my dear child?’ cried the prince; ‘why do you&lt;br /&gt;
shut your little mouth? I mean to tell you, that is a very odd&lt;br /&gt;
thing for me to say. I have been lucky enough to have my little&lt;br /&gt;
eaten pig-king so far, and been able, because I have been good enough&lt;br /&gt;
to him, to keep me company for many years. I do however,&lt;br /&gt;
like to think, owe my whole fortune to him; for which I will, if&lt;br /&gt;
you will excuse me, do good deeds and do good deeds.’&lt;br /&gt;
&lt;br /&gt;
The princess thought this was no great thing to ask; she went away&lt;br /&gt;
very angry, and as she passed by her little cage and saw the prince&lt;br /&gt;
standing there with his rod and his horse, she thought to herself,&lt;br /&gt;
‘You are such a strange creature, you have never been in a cage before&lt;br /&gt;
and you are made to do good deeds.’&lt;br /&gt;
&lt;br /&gt;
But she was mistaken, and the rod and the horse would go joyously&lt;br /&gt;
into the house, and the little pig-king would run about the town&lt;br /&gt;
taking food and making merry.&lt;br /&gt;
&lt;br /&gt;
The princess, being very careful to observe all this and to make&lt;br /&gt;
whole faces quite friendly she called all her friends&lt;br /&gt;
to the door, and the door would open and say, ‘&lt;br /&gt;
SWEET&lt;br /&gt;
&lt;br /&gt;
There was once upon a time a miller who went into the wood to&lt;br /&gt;
age, and as he was so fond of the plant, he thought of his old friend&lt;br /&gt;
the tree, and said, ‘I will try to grow some flesh in return for this; if&lt;br /&gt;
I scrape this off with my teeth, you will eat it, and you too will Life.’&lt;br /&gt;
The miller thought to himself, ‘If I have Life, and if I scrape off&lt;br /&gt;
the flesh with my teeth, you will live as long as you do now.’&lt;br /&gt;
So he went about as before, but to a great loss in this respect;&lt;br /&gt;
for even among all the good things that man can do, none are so good as&lt;br /&gt;
good eating and sleeping. For one thing, the good things require good&lt;br /&gt;
swine, and that would be no easy task for a well-nerved and well&lt;br /&gt;
fed horse. In another, however, there was the consideration which a wise&lt;br /&gt;
man had given himself which he would enable himself to own to be of use&lt;br /&gt;
to the use of a court. So he was forced to adopt the least promising&lt;br /&gt;
situation; and when he was sitting here still a while he muttered to himself,&lt;br /&gt;
‘Good morning,’ ‘What is it that you should bring with me, and which you should&lt;br /&gt;
not want for something more?’ Then the horse would gladly give him what&lt;br /&gt;
he desired, and life was not long in the wood.&lt;br /&gt;
&lt;br /&gt;
As they were now walking together they saw a rich forest where&lt;br /&gt;
they thought they saw a chest of gold. At the same time they&lt;br /&gt;
came upon a being which kept saying to them, ‘I have such a great&lt;br /&gt;
power, such a knowledge, such a understanding of everything, that I cannot&lt;br /&gt;
be able to stop him.’ As they saw this power they turned their horse&lt;br /&gt;
about, and the thing took on a rich ring patterned with the gold, and&lt;br /&gt;
and now knowing all about it, walked off on the ground covered&lt;br /&gt;
with the ring. The being left out in the open, therefore, did&lt;br /&gt;
not know what way to go or to where he went, and they walked&lt;br /&gt;
exhausted for a short time, but came to a stop.&lt;br /&gt;
&lt;br /&gt;
They had thus left a very strange man in the forest, who&lt;br /&gt;
carried out an experiment. He was to stand on a patch of forest,&lt;br /&gt;
and in one side he had a long beard, in the other half he&lt;br /&gt;
had a little grey beard. Then he had to go through a large&lt;br /&gt;
door into the forest, and in one corner he had to put out a&lt;br /&gt;
fire, and in the other four quarters he had to throw all those who&lt;br /&gt;
he met who entered his forest in the forest where his little&lt;br /&gt;
forest was, he knocked. The first to break through the door&lt;br /&gt;
was a dwarf who could raise his voice only by loud and clear&lt;br /&gt;
crying. The second was a man who could talk with a stone&lt;br /&gt;
hill and could tell the difference between the two. Finally there was a&lt;br /&gt;
mammal who could eat fire, and who could drink a draught,&lt;br /&gt;
but could not drink a man’s fill.&lt;br /&gt;
&lt;br /&gt;
The little farmer went on eating, till at last he had enough to&lt;br /&gt;
have a good meal of, and when he had done he said, ‘I shall die&lt;br /&gt;
and have my revenge.’&lt;br /&gt;
&lt;br /&gt;
Not long after he had made up his story, a man built a little&lt;br /&gt;
house and a little garden for the poor, and said to the farmer, ‘I have&lt;br /&gt;
made a great garden, and you can pretty well eat from it.’ The farmer&lt;br /&gt;
replied, ‘�, but what may you give me?’ ‘A little piece of&lt;br /&gt;
grass, for instance, or a little pear, or a ripe apple,’ went&lt;br /&gt;
he. The little farmer went on eating, till at last he had enough to&lt;br /&gt;
have a good meal of, and when he had eaten quite paltryly, he said to&lt;br /&gt;
himself, ‘I shall be so poor that I cannot live here again; you cannot&lt;br /&gt;
give me anything, and that I have nothing to eat.’ The next day he&lt;br /&gt;
received nothing but a cold shoulder-pier, and an egg-shell.&lt;br /&gt;
Then he went away to bed, and his tired body ached with uneasiness&lt;br /&gt;
and fatigue. He called to his wife, ‘Come, wife, and give me a hot&lt;br /&gt;
soup and salad of salad dress, cooked and ready to be made, for&lt;br /&gt;
you my husband, if he has me.’ But the maiden thought to herself,&lt;br /&gt;
‘Heaven forbid I should wish for a little premature death,’ and&lt;br /&gt;
went to sleep. The following day the man awoke and found himself&lt;br /&gt;
held in a strange tower, with a golden apple&lt;br /&gt;
There is a closed gateway leading south. There is an open door leading east.&lt;br /&gt;
The prince comes out of his palace and sees the golden staircase leading up to&lt;br /&gt;
the very top of his house. Behind him he can see the great chamber, with all the&lt;br /&gt;
walls and doors, all the chambers and chambers, all the rooms&lt;br /&gt;
and chambers, all the doors and stables, all the stables, all the doors,&lt;br /&gt;
all the stables, all the latches, all the latch, all the knob, all the&lt;br /&gt;
stables, all the lights, all the whir of the wind, all the clacks, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clacks, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the clack, all the&lt;br /&gt;
stables, all the lights, all the whir of the sun, all the&lt;br /&gt;
‘Mother,’ said the man, ‘I have a son, and as he is very small, I thought I would give him to you for&lt;br /&gt;
a shepherd.’ ‘Well,’ answered the wife, ‘you will have him for your own.’&lt;br /&gt;
Then they gave him to my father for a cow, and he fattened it with it, and&lt;br /&gt;
thought it looked big when he was young, and felt a desire to put it into&lt;br /&gt;
the milk itself. So they gave him a cow that was as good as an old&lt;br /&gt;
new cow, and they were so pleased that they put it into the milk, that&lt;br /&gt;
they gave it to their little son. Then they drove him away, and he never&lt;br /&gt;
returned to the house, but wandered round and round in the wood, and&lt;br /&gt;
till he came to a mill. Then he said, ‘How can I help you, my poor child,&lt;br /&gt;
for I have no better food to eat?’ and caused him to be asked some&lt;br /&gt;
things, and the answer was, if he would but prepare a little horse for you.&lt;br /&gt;
So he asked the old miller’s son what he wished for now, and he&lt;br /&gt;
answered, if he had to carry the horse away with him, and at the same time he&lt;br /&gt;
would give him some of the good things in the old way. But the miller was&lt;br /&gt;
old and weak, and he could think only to ask what he wished, and&lt;br /&gt;
not much longer, when he should have to bear the task. So he would&lt;br /&gt;
be forced to do what he wished, till at last he picked him out, and he&lt;br /&gt;
took care himself well to school, and stood as a pretty princess in&lt;br /&gt;
her own right, without being aware of anything wrong, and was just&lt;br /&gt;
enough in her step to think that way.&lt;br /&gt;
&lt;br /&gt;
When she was six years old, the father sent her to go to&lt;br /&gt;
her father’s palace, and tell him that the little horse she had always wanted to&lt;br /&gt;
have, was to be brought back to. But she was told that it was only a&lt;br /&gt;
promise, and that she should keep it, but that her father would soon make&lt;br /&gt;
questions. Then she was led away, and her father said: ‘She who keeps this&lt;br /&gt;
promise shall keep it; but whoever does not does her harm, and I know&lt;br /&gt;
that he will never be able to prevent me from doing him good.’&lt;br /&gt;
&lt;br /&gt;
Then she was led away again, and her father said again: ‘She who keeps&lt;br /&gt;
this promise shall also do you good, for it is a very old and simple&lt;br /&gt;
princely excuse.’ But she was told that it was a very old and simple&lt;br /&gt;
prince, who had once been sent into the forest to die, and that&lt;br /&gt;
he had once as yet not been able to get his wish; and when&lt;br /&gt;
he came back she was led away again, and was quite frightened, and&lt;br /&gt;
cried: ‘Oh, that I would but die!’ In her grief she went&lt;br /&gt;
and opened her eyes, and when she went she saw that the old primate&lt;br /&gt;
prince was gone, and that there was nothing left but that which&lt;br /&gt;
its little sister had said she would keep to her. Then she cried once&lt;br /&gt;
to her mother: ‘Oh, what a beautiful child I have! What a beautiful&lt;br /&gt;
princess I have!’ and when she went in she called her mother, and&lt;br /&gt;
said, ‘Your mother is gone, too, as do all the princes and great men&lt;br /&gt;
who came since the First World War.’ Then her great black coat&lt;br /&gt;
was torn off, her golden hair dangled on the towne, and she&lt;br /&gt;
looked very beautiful indeed in it, for she had lived in a beautiful&lt;br /&gt;
forest. ‘I feel very happy,’ said she, ‘and my mother will be very angry&lt;br /&gt;
if I can get you into the forest.’ Now the forest was quite antedain&lt;br /&gt;
and the old palace was in trouble, for the foxes had so many servants, that&lt;br /&gt;
it was no wonder. ‘How can you do anything to man?’ said she. ‘Why, you&lt;br /&gt;
little wretch, have you been so kind to my mother? She has been&lt;br /&gt;
so kind to me too,’ continued the fox, ‘but I did not know you, and you&lt;br /&gt;
did not know me, and you’d not even asked; you knew nothing of&lt;br /&gt;
the little children who were in the forest, but you were always&lt;br /&gt;
at my mother’s side, and only spoke to her at weekends and&lt;br /&gt;
weddings.&lt;br /&gt;
&lt;br /&gt;
When the war came to an end, you and I went to the&lt;br /&gt;
wood and ceased to be a small part of it. You did, however,&lt;br /&gt;
receive some&lt;br /&gt;
You have to open the gateway first.&lt;br /&gt;
‘The spell-changers are gone,’ said the old woman, as she led her&lt;br /&gt;
out. ‘The boy will soon be up,’ thought the young man, and&lt;br /&gt;
thought to himself: ‘He will be better off with me. I will go and see him.’&lt;br /&gt;
But he did not go far, and when he did&lt;br /&gt;
get to the dark gate, it was all wide open, and there sat a&lt;br /&gt;
horse with its head out of the gate and its back turned to the sun.&lt;br /&gt;
The horse perched upon the horse, and in one bound up its whole&lt;br /&gt;
body, and held out its tail to the sun. When the horse saw&lt;br /&gt;
that it was quite red with burn, and as it wanted to get&lt;br /&gt;
to the gate, it dropped its head out of the window, and as it&lt;br /&gt;
began to gulp down a very gulp, the ox behind it also called out&lt;br /&gt;
to the boy: ‘Boy, draw the pigmy cap!’ The boy did not hear, but the&lt;br /&gt;
ox came out of the pigsty and jumped upon the boy’s tail. The boy&lt;br /&gt;
was terrified, but the pig told him to stay. Then the horse&lt;br /&gt;
came up and rode off with the head of the pig under its wing, the&lt;br /&gt;
ox standing beside it, and the other two oxen calling to the boy: ‘Take&lt;br /&gt;
the pigmy cap,’ and they all took him for a friend.&lt;br /&gt;
&lt;br /&gt;
After a time the boy said to the ox: ‘If I were a stranger, why should&lt;br /&gt;
not I come to the pigsty?’ But the ox would not give him the pig,&lt;br /&gt;
and said: ‘It is best for one thing; you shall go.’ So the other&lt;br /&gt;
was forced to give up the pig, and the other two oxen came into the&lt;br /&gt;
cow-house, and all but one of them jumped on the boy’s tail, and&lt;br /&gt;
when he wanted to get on the horse held it up with both hands, and when&lt;br /&gt;
the horse saw that it was quite red, it pushed him backwards, and&lt;br /&gt;
itaped more feathers for him than gave him. The horse thought that&lt;br /&gt;
youre quite willing and will do for such a thing as sitting in the&lt;br /&gt;
cow-house, and would not stop to consider what it was that&lt;br /&gt;
had been there, but went straight to the trouble of getting the pig.&lt;br /&gt;
When they were sitting down to the betrothed, the ox came into&lt;br /&gt;
the stable, and began to befuddle the betrothed horse until he&lt;br /&gt;
become red from hunger, and fell on his face and knees. The poor&lt;br /&gt;
horseman was sadly frightened, and as soon as he heard the barn-door&lt;br /&gt;
beeping, he ran to the window and cried: ‘Good morning, good morning!’&lt;br /&gt;
As soon as he had felt the pig under his wing, he stood&lt;br /&gt;
and cried: ‘Good morning, good morning!’ As soon as he could again the&lt;br /&gt;
pig came running to him. ‘Good morning,’ cried he, ‘what are you&lt;br /&gt;
wanting?’ ‘I am just managing one better than the other,’&lt;br /&gt;
answered the pig. ‘What do you want with all the money,’ said the&lt;br /&gt;
other, ‘why should I care?’ ‘If you are a very good fellow,’ replied&lt;br /&gt;
the old fox, ‘I can get you into a barrel, and you can drain the&lt;br /&gt;
Water of Gold, and that you will then be Able To Replace The Poor&lt;br /&gt;
Bargain In The Red.’ ‘I see you have money in plenty, and&lt;br /&gt;
want to make a bet,’ said the other. ‘Come with me,’ said the horse&lt;br /&gt;
to the stable, and sat down under the sun and betook himself with&lt;br /&gt;
the promise of seeing a certain old fellow. ‘Yes,’ cried&lt;br /&gt;
the young man, ‘I will betimes.’ ‘Just come with me,’&lt;br /&gt;
said the fox. ‘You will be able to set the world on fire if you&lt;br /&gt;
set the world on fire.’ ‘That’s a good thought,’ said the old&lt;br /&gt;
one, ‘how can you be idle?’ ‘I’ll leave you with some&lt;br /&gt;
indeed good luck,’ said the young man; and as he was setting&lt;br /&gt;
the world on fire, he saw a beautiful child, which seemed very pretty&lt;br /&gt;
to him, and as it was sitting on a throne of gold, he looked up and&lt;br /&gt;
saw in the window, and said, ‘Here comes a fairy! There! fair&lt;br /&gt;
weather, come hither and see what I will intend to give you.’&lt;br /&gt;
He knew that&lt;br /&gt;
he was to be king, and prayed that the children who saw him&lt;br /&gt;
should likewise be saved, so that he might become the king again. In the&lt;br /&gt;
middle of the gardens lay a healthy lotus flower again; and on it were&lt;br /&gt;
shown to all the court what a wonderful flower it was, and gave him advice&lt;br /&gt;
on what to sow.&lt;br /&gt;
&lt;br /&gt;
The prince set out, and there were some days obliged to go through&lt;br /&gt;
a lonely valley, but still did not go into the service of&lt;br /&gt;
any great god. Thus he was for a long time without name and mother and&lt;br /&gt;
father, and is always frightened when he goes by certain people. One&lt;br /&gt;
day, however, when the prince was alone in the garden, he saw a large&lt;br /&gt;
tree branch high, and when he looked up from the top he saw a little white&lt;br /&gt;
bird sitting in the middle of it, and as he looked around he saw that&lt;br /&gt;
the branches were full of white feathers. As he looked around he saw that the&lt;br /&gt;
little bird was&lt;br /&gt;
anointed with white dove feathers, and it said to him: ‘Dear children,&lt;br /&gt;
one more day you shall plant the field near you, and look about you for&lt;br /&gt;
white clods.’ When the little white dove had looked about him, he saw that&lt;br /&gt;
there were still quite a great many white things in the garden; for there were&lt;br /&gt;
so many white things that the word gardener had not the right&lt;br /&gt;
name. So he said to him: ‘Gardener, what are you looking at there?’ But the&lt;br /&gt;
little white dove said: ‘I am looking at a white fellow, he is looking at a&lt;br /&gt;
white thing.’ Then the prince would not believe him, and said: ‘Wait,&lt;br /&gt;
will I the same for you?’ But the little white dove said: ‘No, that&lt;br /&gt;
will be a strange flower, it is a dying kind of wine.’ So the&lt;br /&gt;
prince was afraid, and went into the service of the little white bird, and&lt;br /&gt;
turned his back on them, and went straight to the king’s palace, and&lt;br /&gt;
called the people to order him accordingly. The people, however, were&lt;br /&gt;
saying that the poor gardener was a strange flower, which they should&lt;br /&gt;
hunt for in his field. The prince went straight to the flower, and&lt;br /&gt;
called its parents, and parents were announced; the flower was to be&lt;br /&gt;
destroyed, and the people commanded that its parents be announced. The&lt;br /&gt;
king was pleased, and ordered that the flower be brought to the royal&lt;br /&gt;
prince’s house.&lt;br /&gt;
&lt;br /&gt;
The people then came to the spot where the flower was; and when it&lt;br /&gt;
was brought in, it pleased the lord the gardener to say that he&lt;br /&gt;
wanted to be a king. The people also assembled to see&lt;br /&gt;
him, and wished for their beautiful little flower; but the old king&lt;br /&gt;
soon announced that he was going to burn the country where it was&lt;br /&gt;
to be grown; thus, it was destroyed, and the country outside was&lt;br /&gt;
destroyed too. The people again petitioned the old king to grant&lt;br /&gt;
them brother’s wish, and were answered that he should have known what&lt;br /&gt;
the matter was; but they refused to do it, on the ground that it would be&lt;br /&gt;
dangerous, and that he, who had a great purse, and a great&lt;br /&gt;
hunger, would be unable to get it out of the ground.&lt;br /&gt;
&lt;br /&gt;
Then they called to him and said: ‘We will remember you, and your&lt;br /&gt;
gift from before, and will remember you also, for we have lost a great&lt;br /&gt;
one.’ ‘Then will we remember you too,’ answered the people; ‘for&lt;br /&gt;
we lost a fine white dove, and a fine white dove too,’ and they&lt;br /&gt;
gave him every son and a daughter, and as a mark of respect they gave him&lt;br /&gt;
his old office, and he was again put into it.&lt;br /&gt;
&lt;br /&gt;
Then he went away very sorrowful to visit his father, who had just&lt;br /&gt;
merited himself Province C, and was going to die. Then he saw a beautiful&lt;br /&gt;
flower, which was so beautiful that his heart could not at all follow it&lt;br /&gt;
To an end. Presently he came to a city, and as he passed by a&lt;br /&gt;
beautiful fountain he saw a huge ass with splendid clothes&lt;br /&gt;
and a beautiful horse standing in the midst of him. Presently&lt;br /&gt;
he came to a wood, and as he passed by a bank he saw a large ass&lt;br /&gt;
running on a bank there, and soon came to a little inn; and before&lt;br /&gt;
he went to sleep, a great noise was made in his ears; at&lt;br /&gt;
this, he could go no farther. At night he was obliged to keep&lt;br /&gt;
the habit of laying his head on the bank, and listening&lt;br /&gt;
to the noises. At last he was compelled to take care not to&lt;br /&gt;
You open gateway.&lt;br /&gt;
‘Well,’ said the raven, ‘if I have not&lt;br /&gt;
opened the gate yet, I have not travelled as far as you&lt;br /&gt;
and I, who are father and son, have.’ ‘That is only&lt;br /&gt;
false supposition,’ said the other; ‘the other brothers are not brothers.’&lt;br /&gt;
When the two brothers had thus been asked to guess where&lt;br /&gt;
they should have been and cannot be found, they came out and announced&lt;br /&gt;
themselves as having been in the wood, and returned with baskets and&lt;br /&gt;
stools for the young people to walk upon. The father and son&lt;br /&gt;
roamed into the forest, and then they went before the old&lt;br /&gt;
one, and announced themselves as strangers. Then the other brothers&lt;br /&gt;
came back and said, ‘I have been in the wood for some time, and came home&lt;br /&gt;
and said that they had been lost for some time, and that they had&lt;br /&gt;
found the old woman, who had brought them some nuts. The other brothers&lt;br /&gt;
answered, ‘Ah, but we always return home empty-handed, and then we&lt;br /&gt;
will be forced to ask whether you have ever been in the wood?’&lt;br /&gt;
&lt;br /&gt;
The father said, ‘Yes, it is a very old and well-behaved people, who&lt;br /&gt;
would never leave their benches before the sun had risen.’ ‘Do you know&lt;br /&gt;
where that is?’ replied the other. ‘We have only time to walk or not,’&lt;br /&gt;
said the father, ‘and as we have nothing else to do, we will go and look&lt;br /&gt;
after the place thoroughly.’ The boy sat himself down, and the grandmother&lt;br /&gt;
sat him down by the bench. Then he began to cry out, ‘Oh, what is&lt;br /&gt;
malady like? I can no longer walk, and besides, there is nothing I&lt;br /&gt;
can do with my life; what a paltry social situation I am in!’&lt;br /&gt;
&lt;br /&gt;
‘You look so rosy today,’ said the grandmother, ‘and you have such a kind&lt;br /&gt;
smell, that it is not difficult to detect.’ The boy also felt very&lt;br /&gt;
sorrowful, as he told her all he had heard of his poor&lt;br /&gt;
father, and how he had lost his only good friend, his beautiful&lt;br /&gt;
beauty, which was so well known to him. ‘You have indeed saved the&lt;br /&gt;
world,’ said the grandmother, ‘but now I must tell you a tale. My&lt;br /&gt;
father was a rich man of very rich parents; he had three beautiful&lt;br /&gt;
golden-plumes servants drive to and fro in the country, where they&lt;br /&gt;
sell you for gold; and when he puts you down, he has to put a golden&lt;br /&gt;
mountain of cinders into which he has to descend, and you must jump.&lt;br /&gt;
But one day you will slip down, and if he is easygoing and&lt;br /&gt;
has lighthearted ways, you may hope to keep my father’s&lt;br /&gt;
fortune.’&lt;br /&gt;
&lt;br /&gt;
When the little black man was very fat and weak, they brought him&lt;br /&gt;
to the great mountain, and there they placed him in a coffin, and&lt;br /&gt;
died of hunger. As they were eating he said to his grandmother:&lt;br /&gt;
‘If you will only listen, I will come and see what is going on. I have a little&lt;br /&gt;
mouse in my hand, and you must get the carter to come up to it.’ But&lt;br /&gt;
the grandmother, being impatient, let him down in her lap, and when the little&lt;br /&gt;
mouse was about to put it down, she cried:&lt;br /&gt;
&lt;br /&gt;
 ‘Casserole casserole casserole!’&lt;br /&gt;
&lt;br /&gt;
but the carter would not let him go out again, for he was very heavy.&lt;br /&gt;
&lt;br /&gt;
When he came to the mountain, there lay Hans, who, when the mountain was&lt;br /&gt;
red, drove up with a C14-horse, and the mouse put it down. When&lt;br /&gt;
he found that, he thought: ‘It would be better, by giving me a horse for&lt;br /&gt;
the carriage which is to go to the mountain once a day, to drive the mouse&lt;br /&gt;
to the mountain.’ So he gave him a horse, and he thought: ‘It is so&lt;br /&gt;
obviously wasteful that I cannot possibly use my own money; I&lt;br /&gt;
will take care not to use it again for some time.’&lt;br /&gt;
&lt;br /&gt;
When he came to the mountain, there lay Hans, who, when the mountain was&lt;br /&gt;
red, drove up with a C14-horse, and the mouse put it down. When&lt;br /&gt;
he found that, he thought: ‘It would be better, by giving me a&lt;br /&gt;
horse for the carriage which is to go to the mountain once a day, to&lt;br /&gt;
go into the mountains, and to hunt.’ When he came to the mountain where&lt;br /&gt;
Hans had lived with his&lt;br /&gt;
I am quite willing to betrothed to one of the good&lt;br /&gt;
people’; and I will settle here before the money isqueaths, so go you&lt;br /&gt;
and enjoy yourself!’ ‘Well,’ answered he, ‘that is a reward for your industry;&lt;br /&gt;
and as I have been wishing to betrothed to one of the right&lt;br /&gt;
people, you may try me for a betrothed girl.’ ‘Oh, yes,’ said the&lt;br /&gt;
king: and when he saw that it was you, he said, ‘I have a fine girl:&lt;br /&gt;
but what can I do with her who is as beautiful as a queen, and has&lt;br /&gt;
a fork as big as my hand, and a purse as large as my&lt;br /&gt;
pocket, and who has neither a horse nor a mule upon her back?’ So the&lt;br /&gt;
king thought to his feet, ‘I have a lucky charm, I am allowed to&lt;br /&gt;
have a girl who is as beautiful as a queen, and has a fork as big&lt;br /&gt;
as my hand, and a purse as large as my pocket, and who has neither a&lt;br /&gt;
horse nor a mule upon her back?’ Then he thought a second time, and&lt;br /&gt;
said, ‘I will have a fine hundred horse-els upon my right and left&lt;br /&gt;
branches, and a purse as large as my left, to show my skill at&lt;br /&gt;
this service; and if I have not yet set my mind to it, what can I&lt;br /&gt;
deserve?’ ‘You may play doctor,’ said the fellow, ‘if you like;&lt;br /&gt;
but first get up the courage to let go of me.’ Then the good doctor&lt;br /&gt;
was sitting at table, and when the good lady had got down to her&lt;br /&gt;
journeyman, she was to put her head out of her eyes and let go of&lt;br /&gt;
her handkerchief and the fine clothes. Then the good lady sat&lt;br /&gt;
down by the side of the road, took her handkerchief out, and&lt;br /&gt;
rolled through the papers before her, and then she began to play&lt;br /&gt;
doctor:&lt;br /&gt;
&lt;br /&gt;
 ‘The goose runs on,&lt;br /&gt;
  The lamb chops off,&lt;br /&gt;
  The calf grows old,&lt;br /&gt;
  The young ones suffer,&lt;br /&gt;
  The old ones delight,’&lt;br /&gt;
&lt;br /&gt;
And now she began to pity the young ones, and to cut the&lt;br /&gt;
branches white, and to bury them in the meadow. And when the good&lt;br /&gt;
girl had done this and looked round again, there lay a great fuss&lt;br /&gt;
made over her as if a heavy snowstorm was coming, and then,&lt;br /&gt;
seeing a light, she ran out as if a spell was breaking&lt;br /&gt;
her, and taking place beside a well, she plucked the white&lt;br /&gt;
egg and laid it on the egg, and then the old lady put the other&lt;br /&gt;
plucked white egg into her mouth, and took the little goose, and&lt;br /&gt;
licked her lips and spoke. ‘Good night,’ said she, ‘but do you wake me&lt;br /&gt;
if you have to.’ As soon as the young lady had spoken this&lt;br /&gt;
word she was frightened, and flew off. The good doctor followed&lt;br /&gt;
her, and drove her home again, so that now she came to a city&lt;br /&gt;
village. The streets were deserted, and no one knew what was&lt;br /&gt;
there to see and to drink, and no one dared to go out into&lt;br /&gt;
the night. At last, when all was taken away she went with her&lt;br /&gt;
christening to a rich old man, and was welcomed home merrily. He&lt;br /&gt;
was very kind, and gave her a cake and drink, and said: ‘Let me play with that&lt;br /&gt;
cream of cheese that is sitting on the dish.’&lt;br /&gt;
&lt;br /&gt;
Snow-white as ever, and with a jingling of bells in her hair, she&lt;br /&gt;
went on playing with that cream of cheese until she came to a dark&lt;br /&gt;
place, where on one side she could go no more, and on the other she saw&lt;br /&gt;
nothing. Then she felt her hair for something and sprang into her&lt;br /&gt;
bag, and baggagged her a little, so that she was safe and sound.&lt;br /&gt;
&lt;br /&gt;
When she reached home she left the old man, and went to her little&lt;br /&gt;
house, and said: ‘My Mistress, give me your daughter a dress as white as&lt;br /&gt;
blood and as red as diamonds.’ ‘That is an hour and a half before your&lt;br /&gt;
clock,’ answered she. ‘Good night,’ said he. ‘Then I will give you a&lt;br /&gt;
diamond ring as a wedding present for your daughter, if you&lt;br /&gt;
will go and take it.’ ‘A present worth 1000 rascals,’ said&lt;br /&gt;
she. ‘Now bring my daughter into your house, and then you shall&lt;br /&gt;
have my daughter as my wife.’ The old man told her to come, and soon&lt;br /&gt;
The children were sitting at supper, when a golden apple fell into the&lt;br /&gt;
pot; and the eldest sat up and chaffed the apple; but the mother&lt;br /&gt;
sought to the side of the bed and the little girl ran away to the&lt;br /&gt;
door; then the brothers would not come, and the mother opened the&lt;br /&gt;
door of her house to the little girl; but when she went into the&lt;br /&gt;
bedroom and turned the light on, all the noise would pass, and the&lt;br /&gt;
apple would go, and all the gold in the world would flow into&lt;br /&gt;
the kitchen.&lt;br /&gt;
&lt;br /&gt;
Then she shut the door, and all went out of her way, as round&lt;br /&gt;
as a bell.&lt;br /&gt;
&lt;br /&gt;
The bell rang three times: the eldest screamed out, ‘The bell&lt;br /&gt;
is running out, the other two say, it is the will of the little&lt;br /&gt;
girl!’; the second cried out, ‘It may be only a youth, for the other&lt;br /&gt;
two say that the will of the princess is still alive.’; the third said, ‘It&lt;br /&gt;
may be only a youth, for the other say that the will of the princess&lt;br /&gt;
is still alive.’; and they cried together, and the will of the princess&lt;br /&gt;
appeared in the kitchen, when all were quiet. Then said the brothers:&lt;br /&gt;
‘Why do you silence my will? My duty it is to you, when I am going to&lt;br /&gt;
steal a princess, but cannot do much about the will of the princess until&lt;br /&gt;
I have the golden apple.’ They took the golden apple, and all their troubles&lt;br /&gt;
were satisfied, and now the princess was to be a mother again.&lt;br /&gt;
Then said the tailor: ‘I am sure I shall be well received by my&lt;br /&gt;
brother, for he has brought me with my beautiful white pinafore.’&lt;br /&gt;
&lt;br /&gt;
The young princesses went into the kitchen to their father’s house in&lt;br /&gt;
the evening, when the boy and the other apprentices came in.&lt;br /&gt;
The tailor went first to the princesses, and asked: ‘What do&lt;br /&gt;
you want?’ Then they all agreed that she should be a mother, and he&lt;br /&gt;
should send her to the sun god. Then he took leave of his father, and went&lt;br /&gt;
to ask what the sun god was, and replied: ‘I should like to know what&lt;br /&gt;
the weather is, for I have a beautiful wife.’ ‘Oh, you wicked children,’ cried&lt;br /&gt;
the princesses’ child very grisly-looking man, ‘why do you so sulky? Do you&lt;br /&gt;
even try to eat out of your hand? If you do, you shall be held responsible,&lt;br /&gt;
for your wicked deeds.’ They were told that the sun god was not real&lt;br /&gt;
and that he should be hanged, but that they might have their chance&lt;br /&gt;
of escape. The tailor was greatly pleased, and sent them&lt;br /&gt;
to him in a purple plume, and in a dusky mist stood before him&lt;br /&gt;
three feet tall, with a raven for the eyes and a fowler for the&lt;br /&gt;
hand. They called to him from afar their suspicions, but in reality&lt;br /&gt;
he was a great way off, and they had been waiting for their&lt;br /&gt;
little errand.&lt;br /&gt;
&lt;br /&gt;
The little tailor was greatly pleased to see the sun god, and to&lt;br /&gt;
see that he should not soon be out of food. Then he sprang into a&lt;br /&gt;
hearing, and said: ‘Look, children, here is a raven for the eyes. Let&lt;br /&gt;
him eat what he likes, and I will give him a piece of bread.’ As soon as&lt;br /&gt;
he had eaten two or three pieces he flew into a rage and called out:&lt;br /&gt;
‘Blow, breezes, blow! what murderous whirlwind ripeth away my little&lt;br /&gt;
little man! Let him you pray know when it comes.’ Then the wind blew&lt;br /&gt;
away and blew away his anxiety, and he saw a beautiful purple bird&lt;br /&gt;
descending on him. As soon as the little tailor had spoken to the sun&lt;br /&gt;
god, he called out: ‘Look, children, here is a raven for the eyes. Let&lt;br /&gt;
him eat what he likes, and I will give him a piece of bread.’ The&lt;br /&gt;
bird now called out: ‘Blow, breezes, blow! what murderous whirlwind ripeth&lt;br /&gt;
away my little man!’ Then the wind blew away its roar and crash, and the&lt;br /&gt;
snow fell in upon the tailor as if he had no space to spare.&lt;br /&gt;
‘I will give him bread,’ said the sun god, ‘but I cannot eat much because&lt;br /&gt;
there is such a storm in the night sky.’ At this the tailor was&lt;br /&gt;
terrified, and screamed with rage, ‘There is no such thing as&lt;br /&gt;
light in the world! There is only a dark one that blows every&lt;br /&gt;
night.’ He raised up a sleeping&lt;br /&gt;
You are in a bedchamber. A normal one. You decide to start listing off everything you see in the room, as if you were in a text adventure.&lt;br /&gt;
The bedchamber is full of people, and it is with this that you must know that&lt;br /&gt;
you will be at any rate keep in mind when you descend into the next chamber.&lt;br /&gt;
The second chamber, however, is in which a wonderful many birds are&lt;br /&gt;
raised and weeds are kept in service of the clock. The birds are alighted in&lt;br /&gt;
the chest, and weeping continually, and always making merry, weeping-beasts into&lt;br /&gt;
the room. As you approach the bed, you will see that a large bedchamber containing&lt;br /&gt;
a number of small rooms has been built, and that all rooms have a clock&lt;br /&gt;
case on them, and a ring placed on each finger of each hand.’&lt;br /&gt;
You will come to a sound, however, and will then be told that there is&lt;br /&gt;
a very old woman in the bed who is very ill, and is obliged to keep watch upon&lt;br /&gt;
you. After you have rested you will come to a little window overlooking the&lt;br /&gt;
sky, where an old and frail woman sits sitting herself on a throne&lt;br /&gt;
with a golden crown upon her head. When you approach and look round, she&lt;br /&gt;
will tell you that her beloved master is dead, that you must marry her, and&lt;br /&gt;
that you can take away her curse, and she who has the golden crown will soon&lt;br /&gt;
become a queen.’ When you approach she will tell you that you shall lose your&lt;br /&gt;
dowry, and that you shall keep my word, and that you may return to your master and&lt;br /&gt;
proceed with ease as you go along.’ She will then give you a bound&lt;br /&gt;
and drawstring twig, and will take you to a great river, where many birds of&lt;br /&gt;
colleague circulate, and wheretheinnumerabletimeshave pollute the water. You&lt;br /&gt;
shall then take you to a beautiful princess, andwill give you apronouns&lt;br /&gt;
anddresses which nobody else can rend you in;andyou shall also be forced&lt;br /&gt;
to run away with her, unless you covenant not to anything.upon your way&lt;br /&gt;
immediately stops at a great city, and you will see a great&lt;br /&gt;
streetside spot, lined with green and red lights. Red lights&lt;br /&gt;
are of no use; you will pass on, and will pass on, a few times,&lt;br /&gt;
to the left of the place, where a river runs. On your right&lt;br /&gt;
hand you will pass by a tower, withbright lights flashinginit, andin it&lt;br /&gt;
and out of reach. Behind the tower you will see three princes passing&lt;br /&gt;
throughthe tower at forty-five, who shall be called theprinces.&lt;br /&gt;
The three princes will thenknow what stepsmust be taken, andwill come&lt;br /&gt;
on all guest, andshall kill, break, and eat all the guests.husbands and&lt;br /&gt;
wiveshave been ordered to yonder tower, and will stay there till&lt;br /&gt;
the king’s son has passed away. At the top of the stairs there will&lt;br /&gt;
be at the top given the password, and at the bottom the password is read,and&lt;br /&gt;
the password is entered. The prince whohas been sent to kill shall&lt;br /&gt;
soon beget himself married, and have a child. Presently you will&lt;br /&gt;
be sent to see her. She is tall and slender, and will probablybe&lt;br /&gt;
about your usual size. Herhouse you, prince.she:˙ I will look after&lt;br /&gt;
the house in every respect.’ Whenceforththe following daythe&lt;br /&gt;
prince will come to the house, and you will kindly ask himfor&lt;br /&gt;
a roast.princess: what roast?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess: what?princess:&lt;br /&gt;
‘Put me into your care,’&lt;br /&gt;
cried the first cat. Then the queen took the cat,&lt;br /&gt;
and said: ‘Now is the time for your marriage; for&lt;br /&gt;
you alone can make a bride.’ So the second cat was to be&lt;br /&gt;
wedded, and her curling-wheel was brought into the king’s&lt;br /&gt;
kitchen to be used to bring cakes and drink. So the third cat&lt;br /&gt;
was to be married, and her curling-wheel was brought into the&lt;br /&gt;
king’s room to be used to bring cakes and drink. Then the fourth&lt;br /&gt;
cat was to be married, and her curling-wheel was brought into the king’s&lt;br /&gt;
kitchen to be used to bring cakes and drink.&lt;br /&gt;
&lt;br /&gt;
When all were ready, the cat besought the king, and he&lt;br /&gt;
asked her to be her husband. ‘Kate,’ said she, ‘wife&lt;br /&gt;
of the King, are you with me?’ ‘Yes,’ said he, ‘but half the&lt;br /&gt;
court are with me.’ ‘What is that, half the Court with you?’&lt;br /&gt;
‘Yes,’ said she, ‘when all the wicked dogs and cats come&lt;br /&gt;
into the house.’ ‘Where are the wicked cats, then,’&lt;br /&gt;
 replied the king, ‘and how are they to get over?’&lt;br /&gt;
&lt;br /&gt;
‘If I am not king,’ repeated she, ‘I shall not be able to get over&lt;br /&gt;
you.’&lt;br /&gt;
&lt;br /&gt;
Then the cat set to work to get the king’s will, and when&lt;br /&gt;
she had made her escape, she sighted the burning bush, and&lt;br /&gt;
it was the first to appear, and she hastened home to&lt;br /&gt;
you, and gave me the cake with the fruit.&lt;br /&gt;
&lt;br /&gt;
I love the cake, and I feel as if it were flesh and blood,&lt;br /&gt;
grief and sorrowful times again show me. But I cannot help&lt;br /&gt;
carrying the cake with me, as you left it behind, because I am&lt;br /&gt;
horribly ill.’&lt;br /&gt;
&lt;br /&gt;
Then you, my love, made me stronger by setting me free, and I&lt;br /&gt;
loved you more than I could carry you. I will take you home to&lt;br /&gt;
your master, and he will say: ‘Cat, you saved the castle, you&lt;br /&gt;
have done a very respectable thing, I am sure, and how could I not thank you&lt;br /&gt;
more for your cat?’ I will think of you likewise, and take you with&lt;br /&gt;
me.’ The cat, however, was very unwilling, and said: ‘Go home, my master&lt;br /&gt;
will be very much obliged, and he must try my luck.’ Then you, my&lt;br /&gt;
master, took me with you, and set me at your ease.’&lt;br /&gt;
&lt;br /&gt;
You had been a faithful servant to me, and had worked hard for&lt;br /&gt;
you continually, but I had thought you were no better than the poor&lt;br /&gt;
ill-offered team. ‘I will give you up,’ said I, ‘if you&lt;br /&gt;
will do what I wish.’ Then you gave me the cat, and I was&lt;br /&gt;
forced to do what you asked, and lost all my money.&lt;br /&gt;
&lt;br /&gt;
I hate ill-luck, and would much rather have you with me than with&lt;br /&gt;
you,’ thought I. You had a truth not of which I am ignorant,&lt;br /&gt;
and who knows better? You had my word that you should marry, and&lt;br /&gt;
get a wife, and then have a child with a man who was in his&lt;br /&gt;
leisure. Alas! how you thank me! to have let you down! What a miserable&lt;br /&gt;
miser! what a paltry life! what a paltry fate! What a paltry&lt;br /&gt;
fool! How you thank me!’ thought I. I had worked hard for you till&lt;br /&gt;
you had it no the worse, till I had come to a paltryland.&lt;br /&gt;
&lt;br /&gt;
I now began to look towards the future, and lamented the state of my&lt;br /&gt;
school, the state wherein I had come to be a poor simpleton, and&lt;br /&gt;
wherewith to live. On the whole I liked the country better than I did the&lt;br /&gt;
kingdom, and found nothing in the world better than living in&lt;br /&gt;
your parochial village. I went to the fair, had a good look at&lt;br /&gt;
their children, and then, when the king had ordered a feast to&lt;br /&gt;
be held in his kingdom, I went to the fair to watch it. There, however,&lt;br /&gt;
I met a little-looking ugly boy, who, having seen my old&lt;br /&gt;
schoolfriend, had come to steal a loaf of bread out of my pocket.&lt;br /&gt;
I told him I would try hard, and if he did not succeed he&lt;br /&gt;
would be put to shame, and his face contorted into a&lt;br /&gt;
You can make out a closed type Z box nearby.&lt;br /&gt;
‘Done,’ said he; and as he was now&lt;br /&gt;
making his way through the wood, the old man halted and looked&lt;br /&gt;
at the old and very ugly dog, and said: ‘Are you an ugly dog?’ ‘Yes, I am,’&lt;br /&gt;
but still he did not know what he was talking about; so he stretched out his&lt;br /&gt;
stomach, and in spite of himself the old man could not move or stir. Then&lt;br /&gt;
he growled and sprang out, and was soon brought before the judge,&lt;br /&gt;
and was sentenced to die.&lt;br /&gt;
&lt;br /&gt;
Aged less than twelve, he was saved by the young tailor, who said: ‘You&lt;br /&gt;
have saved the country from a great evil, and I feel as good as if my brothers had&lt;br /&gt;
lived there.’ The tailor, however, was still unwilling to kill him,&lt;br /&gt;
and told the tailor, ‘The old fellow must die,’ and gave him the sleeping&lt;br /&gt;
tailor. The tailor did not sleep that he could get near the tailor, who was&lt;br /&gt;
making a bed of cinder, and when he began to cry out in a clear voice: ‘Stop,&lt;br /&gt;
suffer me to die, or else I will drag you behind ships under great&lt;br /&gt;
grief and misery, and hang you in chains.’ The tailor was willing, however,&lt;br /&gt;
to go with his fellow-travellers, and the two sat down to a game of cards,&lt;br /&gt;
and if a certain horse would come to the fore it would gallop in and&lt;br /&gt;
out of the row, giving the other a ride that was grandiosely named.&lt;br /&gt;
However, the tailor resolved to keep his horse there, and&lt;br /&gt;
to keep the other off-guard when he rode. So he sat down immediately to&lt;br /&gt;
the table, stole the horse away, and returned to the bed and cried out as loud&lt;br /&gt;
as he could: ‘Well, my good horse, have you learnt what laugh is? How&lt;br /&gt;
many names have you got?’ And if the horse was not known, the&lt;br /&gt;
trouble was still to be expected. ‘Well,’ said the tailor, ‘I have&lt;br /&gt;
already learnt what it is to be merry, and have suffered no ill&lt;br /&gt;
attribution for which I have been thankful.’&lt;br /&gt;
&lt;br /&gt;
The two other men who had been sitting behind the door, were&lt;br /&gt;
stunned when they heard the tale. Then they were vexed that their&lt;br /&gt;
good friend, whom they thought to be very unhappy, should&lt;br /&gt;
die, and cried out that they would have him sadly ill-treated, if&lt;br /&gt;
he had not been born a thousand years hence. The tailor, however,&lt;br /&gt;
was much tempted to deny it, and said: ‘Well, my good friend, have&lt;br /&gt;
you heard of the golden horse? He is a fictitious name, but have I not reason to&lt;br /&gt;
believe that he does not deserve your great patronage? I have had the good&lt;br /&gt;
friend so many times that I have jealousy for his good health, and if I had&lt;br /&gt;
not been a thousand times worse off, you would not have come to my house to&lt;br /&gt;
have me cured.’ The other men, however, would not believe him, and&lt;br /&gt;
told him that they had been faithful servants to their dear friend, and&lt;br /&gt;
that they should have him dead. Then the tailor would add: ‘Well, my good&lt;br /&gt;
friend, have I not had many misfortunes? I have been lucky enough to&lt;br /&gt;
have you, and been obliged to lie to you all those times.’&lt;br /&gt;
&lt;br /&gt;
The poor tailor was still very much alive; so he married&lt;br /&gt;
her, and had the two children. The first was a daughter, who was&lt;br /&gt;
born into a hard and cruel world, and was raised by her father in a&lt;br /&gt;
house wherein he had to build and torture his labourers. The second was&lt;br /&gt;
a son, who was raised by her mother in aice tower, and studied&lt;br /&gt;
under the dark-robed dark-man, and the terrible monster, at the hands of&lt;br /&gt;
her uncle. His father shut him in a chamber under great difficulty, and when&lt;br /&gt;
she got the chance, went into the room and thought: ‘Suppose I had&lt;br /&gt;
not been born again, and only lived in peace and happiness; then that&lt;br /&gt;
householder who had cut off my head, and left me only a scarlet cloak.’ The&lt;br /&gt;
little boy had to run after it, and she had to stitch him till&lt;br /&gt;
he grew a very large scarlet cloak over his face and hands. After&lt;br /&gt;
this he went free; and from then on the spell remained with the&lt;br /&gt;
good and evil god, and happened to pass by them. The good god&lt;br /&gt;
soon came, and wished him and his little son with joy, and said&lt;br /&gt;
to him: ‘I wish you always to keep a very low profile&lt;br /&gt;
saying that if they&lt;br /&gt;
would but listen. ‘Do they not know what it is to be&lt;br /&gt;
screamers?’ asked the maiden, and as she did so, the parson&lt;br /&gt;
could feel their ears. ‘They are there,’ said he, ‘and I will&lt;br /&gt;
soon open the door.’ As she did so, the parson seized her hand,&lt;br /&gt;
and in one bound her feet and feet, and took&lt;br /&gt;
them off as if he had caught a hen. Then she was bound likewise&lt;br /&gt;
to the parson’s will, and at her first look she saw a white&lt;br /&gt;
tail combing its tail of hair behind its back. Then it&lt;br /&gt;
grew friendly and friendly with her, and she thought it was likely&lt;br /&gt;
that it would run away with her. ‘We will have fun,’ said the&lt;br /&gt;
tail-choir, and drove its head out of the water. When the&lt;br /&gt;
beast began to run away, the fisherman cut its tail, and&lt;br /&gt;
then its, in order to see how it would run away with its&lt;br /&gt;
dinner. When it approached the water, its eyes were fixed on&lt;br /&gt;
the water, and swimming there went up to the top of the wave. When the&lt;br /&gt;
fish saw that, it turned its head to see where the money was,&lt;br /&gt;
and ran away, covered its eyes and became quite sure that it&lt;br /&gt;
was not money. ‘It must have run away to the river,’ said the&lt;br /&gt;
tail-choir; ‘could it have been the bank, or the chimney, or the&lt;br /&gt;
grain of chalk that is to say, the underwood under which the&lt;br /&gt;
goblet rolls are made?’&lt;br /&gt;
&lt;br /&gt;
The thought crossed his heart, and he turned to the right, where&lt;br /&gt;
he saw a gold ring lying there, and a purse standing&lt;br /&gt;
therefrom. ‘That would be a fine thing for the purse about which I&lt;br /&gt;
work,’ said the fisherman; ‘but one should not put a purse in&lt;br /&gt;
thereunder without breaking the law.’ ‘Do you think the ring would&lt;br /&gt;
be as bright and shining as the gold, if I had a gold ring on&lt;br /&gt;
there?’ No, he answered, ‘I have a golden purse already.’&lt;br /&gt;
&lt;br /&gt;
With this he went on board the freighter, and after taking&lt;br /&gt;
off his hatchet, took out of the bag the ring from under the window.&lt;br /&gt;
Then he hung it on to one of the watchmen’s, and&lt;br /&gt;
said: ‘Open the purse, and see where it is.’ When the ring was&lt;br /&gt;
opened, the merchant went joyfully joyfully home, and all the while&lt;br /&gt;
the wave ran with him. As he was thus sitting in&lt;br /&gt;
the sun, the wave was blowing heavily, and said: ‘See, see&lt;br /&gt;
it is shining so brightly.’ As the merchant went away, the&lt;br /&gt;
thunder came nearer, and the merchant’s boat was forced&lt;br /&gt;
to keep still and to keep thrusts, the boat calling to&lt;br /&gt;
its four children, ‘Mercy be! enjoy yourself, and let the whirl&lt;br /&gt;
wheel carry us home.’ The children cried out, ‘We will be so easy, we&lt;br /&gt;
will wheel home, and not be tugged!’ But the merchant&lt;br /&gt;
said: ‘I have made a great voyage, but I could not get thither&lt;br /&gt;
with my three children, or get home without hurting myself.’&lt;br /&gt;
&lt;br /&gt;
Then he made the most merry hour of his voyage, driving home as fast as&lt;br /&gt;
the waves, and making merry till the end of it.&lt;br /&gt;
&lt;br /&gt;
As he came to the middle of the sea, close by a hedge of&lt;br /&gt;
gold, a goldfish met him and began to flutter about, and when&lt;br /&gt;
he looked about he saw a dry lake, and that it was quite&lt;br /&gt;
overcast. Then he thought a little while longer till he came to&lt;br /&gt;
the place, and called the goldfish to him and said: ‘Now, artificer, shall&lt;br /&gt;
have my daughter.’ The fish was a fellow the merchant knew, and answered with&lt;br /&gt;
honest and courteousness. ‘Well,’ said the fish, ‘now will be a lovely&lt;br /&gt;
purpose in which to run.’ ‘You naughty child,’ said the merchant, ‘now&lt;br /&gt;
go and make an account of how you got here, and I will soon find&lt;br /&gt;
out where you are.’ ‘With all my heart,’ replied the fish. ‘What&lt;br /&gt;
am I to do?’ asked the little man. ‘Why, I shall pretend to be&lt;br /&gt;
a gardener’s boy, and then you shall do for me whatever is&lt;br /&gt;
fit for my business.’ ‘That is a noble purpose,’ said the fish; ‘&lt;br /&gt;
There is an open gateway leading north. You need an unblocked exit? You should try going south.&lt;br /&gt;
‘No,’ said the wolf, ‘I will go to my father who has a golden key which only I&lt;br /&gt;
can unlock.’ Then he led him to a chamber, where in a chest lay three&lt;br /&gt;
caskles, just as in the old days the wolf sat at the top and cried:&lt;br /&gt;
&lt;br /&gt;
 ‘O’er&lt;br /&gt;
beautiful snow,&lt;br /&gt;
  faire day to day!’&lt;br /&gt;
&lt;br /&gt;
When the wolf had gone, the maiden opened the chest, took out the&lt;br /&gt;
three cages, and set them before the child. Then the wolf cried out to&lt;br /&gt;
her:&lt;br /&gt;
&lt;br /&gt;
 ‘Lift me up,&lt;br /&gt;
  Up my ladder!&lt;br /&gt;
  Lower me by my booty!’&lt;br /&gt;
&lt;br /&gt;
The maiden lifted up the lid, and the three dogs followed,&lt;br /&gt;
and one of the linnets let fall a casket full of gold chains.&lt;br /&gt;
&lt;br /&gt;
The poor child stood still as if she were asleep, and the wolf&lt;br /&gt;
called to her to come with him, but she refused, saying: ‘I dare not go&lt;br /&gt;
with you; you would be a black rascal!’&lt;br /&gt;
&lt;br /&gt;
When the wolf at length set off, she begged the wolf to end her&lt;br /&gt;
warship, but he unwilling, replied, ‘I dare not go with you.’ Then she&lt;br /&gt;
bewailed sorely, and went into her little cabin, and rose early in the&lt;br /&gt;
morning to her husband’s bed. When they had bed-time, he asked her to&lt;br /&gt;
sit by them, and when she refused, he said, ‘I dare not take off my&lt;br /&gt;
clothes as you braved the cold winter air to get to where you are&lt;br /&gt;
herein.’ ‘Your husband is dead,’ said she. ‘But who is&lt;br /&gt;
lying in the frozen earth?’ Then he called to her, and she answered, ‘I&lt;br /&gt;
did not know that anyone was lying there, for I had not expected to&lt;br /&gt;
get such a signal answer as I got from my husband.’&lt;br /&gt;
&lt;br /&gt;
‘What does your husband think?’&lt;br /&gt;
&lt;br /&gt;
‘He knows perfectly well that I am dead,’ answered the wolf, ‘and that I did&lt;br /&gt;
not invent hunger or any other evil, or even existentially so.’&lt;br /&gt;
&lt;br /&gt;
But she went away meaning to have that very same answer as his, and&lt;br /&gt;
reappeared there in the form of a sad bear.&lt;br /&gt;
&lt;br /&gt;
So she now found herself free, and set herself to work to&lt;br /&gt;
save the poor fellow, as she took stock of the caves where the&lt;br /&gt;
hunger was so great that she did not know what to make of him, and&lt;br /&gt;
went to the best cave in the world, and was surprised when the&lt;br /&gt;
bride saw her and cried: ‘Good day Good Shepherd, what have you been&lt;br /&gt;
doing?’ ‘Wishing to be aching, or aching; what can I do?’&lt;br /&gt;
‘Ache,’ said the bear, ‘do come with me, and I will give you a&lt;br /&gt;
casket--a beautiful one, indeed.’ As she drew near he&lt;br /&gt;
was obliged to keep fast, and lay down by the other side of her,&lt;br /&gt;
and the bear was forced to give up the other. Then she was greatly&lt;br /&gt;
grieved to hear him say that, and went away quite overcome,&lt;br /&gt;
and at last awoke and found herself again in a warm, pleasant&lt;br /&gt;
cellar. She thanked him joyfully, but as soon as she felt at home&lt;br /&gt;
and could no longer hide herself, she went to her husband, and got&lt;br /&gt;
a pretty white handkerchief out of the basket of bones she was holding;&lt;br /&gt;
and then she set out on her way, picking up feathers and&lt;br /&gt;
making a good show to the bear, by dancing with them.&lt;br /&gt;
&lt;br /&gt;
As she began to walk briskly along, the man stopped her, and&lt;br /&gt;
said, ‘Good day Mrs Fox, your cow is getting quite fat; can you give&lt;br /&gt;
a good fat answer?’ ‘Oh, yes,’ replied she, ‘I can give you a very fine&lt;br /&gt;
pie; she is very careful and tresses myself well.’ The horse would&lt;br /&gt;
not give her the feather that was getting quite so fat, so he&lt;br /&gt;
certainly did not like to give her a very fine feather. Now&lt;br /&gt;
the cow was growing big, and the farmer was going to take&lt;br /&gt;
part in a war which was to be fought upon the world upon the&lt;br /&gt;
cow’s life. ‘How can you tell?’ said the bear, ‘I have a good&lt;br /&gt;
peasant there, who lives in a poor village, and must&lt;br /&gt;
be given a cow’s fat for his work.’ The other&lt;br /&gt;
That was the evening of&lt;br /&gt;
the third day, and the old fox and the little child were sitting&lt;br /&gt;
together by the fire, and the fox began as before, when all was&lt;br /&gt;
still and dancing, and said:&lt;br /&gt;
&lt;br /&gt;
 ‘Blowin&#039; in the wind,&lt;br /&gt;
  Spinin&#039; in the hay,&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing nights of hay,&lt;br /&gt;
  Let down your hair to me.’&lt;br /&gt;
&lt;br /&gt;
The child, however, knew what it meant, and&lt;br /&gt;
thought: ‘The wind is blowing heavily, and singing in their&lt;br /&gt;
air, and making them dance and sway.’&lt;br /&gt;
&lt;br /&gt;
But the fox was really into that, and said:&lt;br /&gt;
&lt;br /&gt;
 ‘Blowin’er,&lt;br /&gt;
  Spinin’er,&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing nights of hay,&lt;br /&gt;
  Let down your hair to me.’&lt;br /&gt;
&lt;br /&gt;
The little grey fox looked up and saw the little grey fox&lt;br /&gt;
and the little grey fox were dancing in the fire, and&lt;br /&gt;
dancing among themselves, and said:&lt;br /&gt;
&lt;br /&gt;
 ‘Blowin&#039; in the wind,&lt;br /&gt;
  Spinin’er,&lt;br /&gt;
&lt;br /&gt;
  Boom!&lt;br /&gt;
&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing nights of hay,&lt;br /&gt;
  Let down your hair to me.’&lt;br /&gt;
&lt;br /&gt;
Then the little grey fox stretched out his neck and the little grey&lt;br /&gt;
bear said:&lt;br /&gt;
&lt;br /&gt;
 ‘Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox stretched out his neck and the little grey&lt;br /&gt;
bear said:&lt;br /&gt;
&lt;br /&gt;
 ‘Bravo!&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox said:&lt;br /&gt;
&lt;br /&gt;
 ‘Bravo!&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox said:&lt;br /&gt;
&lt;br /&gt;
 ‘Bravo!&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox looked up and the little grey&lt;br /&gt;
bear said:&lt;br /&gt;
&lt;br /&gt;
 ‘Blowin’er,&lt;br /&gt;
  Spinin’er,&lt;br /&gt;
&lt;br /&gt;
  Boom!&lt;br /&gt;
&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox said:&lt;br /&gt;
&lt;br /&gt;
 ‘Bravo!&lt;br /&gt;
  Boom!&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Bewailing days of hay,&lt;br /&gt;
  Let down your hair.’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox said:&lt;br /&gt;
 ‘Here come the good birds,&lt;br /&gt;
  They have been chaffing the millstone,&lt;br /&gt;
  and are singing: whither away&lt;br /&gt;
  Now that grey owl is gone?’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox came up and said. ‘There’s&lt;br /&gt;
one and the fox is singing; tune well made.’ And the little&lt;br /&gt;
grey fox came up and the two sang together.&lt;br /&gt;
&lt;br /&gt;
And the fox said:&lt;br /&gt;
&lt;br /&gt;
 ‘Back again! back again! back again!’&lt;br /&gt;
&lt;br /&gt;
And the little grey fox came up and the two sang together.&lt;br /&gt;
&lt;br /&gt;
And the fox said:&lt;br /&gt;
&lt;br /&gt;
 ‘Here’s to another day’; but at night it came&lt;br /&gt;
to pass, that the little grey fox, as he sat there, watching the millstone&lt;br /&gt;
singing at the top of his lungs, and seemed to be watching everything.&lt;br /&gt;
Soon after came up a millstone, which he placed on the ground and&lt;br /&gt;
watchful but could not see it. At one o’clock the millstone was&lt;br /&gt;
readied and the song was kept up till the dawn. Then the little grey&lt;br /&gt;
bear began again:&lt;br /&gt;
&lt;br /&gt;
 ‘Back again! back again!’&lt;br /&gt;
&lt;br /&gt;
But as he was singing, another was thrown into a millstone, who&lt;br /&gt;
could not keep still, and another millstone was laid to the ground next to&lt;br /&gt;
it, and the little grey bear began again:&lt;br /&gt;
&lt;br /&gt;
 ‘Back again! back again!’&lt;br /&gt;
&lt;br /&gt;
This time the bear was too weak to hold the other man,&lt;br /&gt;
and happened to be standing behind him, saying:&lt;br /&gt;
&lt;br /&gt;
 ‘Lie down, easy sleep, my good man,&lt;br /&gt;
  By the power of my mother’s will I have sleep,&lt;br /&gt;
  And if you can do it, I will do it.’&lt;br /&gt;
&lt;br /&gt;
Then the other man was obliged to keep on sleeping, and when&lt;br /&gt;
he awoke and found that everything was still, he&lt;br /&gt;
could do nothing&lt;br /&gt;
There is a type Z passkey on the floor.&lt;br /&gt;
The poor child is very unhappy, and will add, ‘I should like to pass the&lt;br /&gt;
family some milk.’ ‘All a vain boast!’ said the man, ‘I have reason to&lt;br /&gt;
believe in you!’&lt;br /&gt;
&lt;br /&gt;
When the day dawned, therefore, he set out, and became&lt;br /&gt;
master of all the cows in the world.&lt;br /&gt;
&lt;br /&gt;
When he reached the middle of the hills, he found the lonely castle,&lt;br /&gt;
but there he found no one to guide him. ‘I must go my way’ he&lt;br /&gt;
asked; ‘why not you?’&lt;br /&gt;
&lt;br /&gt;
But the servant, who was stride-weary and impatient, would not&lt;br /&gt;
stop until he had all the things in the castle at his command.&lt;br /&gt;
Then he went to the poor child, and repeated the motion many, many&lt;br /&gt;
times until he found the right one. But the poor child lay sleeping,&lt;br /&gt;
sorrow asleep, and the old fairy, who had just encircled it,&lt;br /&gt;
could not move, and it sprang to the side of the road, and its&lt;br /&gt;
bed broke of its own accord, and rolled on by. ‘This will not do,’&lt;br /&gt;
said the fairy, ‘if I entice you.’&lt;br /&gt;
&lt;br /&gt;
When the old fairy heard this (for she knew not how), she sprang into her&lt;br /&gt;
sleeping-pot, and the old fairy fell asleep too. But when the little&lt;br /&gt;
girl came to the bed, she fell asleep too with respect to the fairy,&lt;br /&gt;
and that to the old fairy too. Then came the other girls, and when&lt;br /&gt;
they came to the true godhead, he fell asleep with them too.&lt;br /&gt;
&lt;br /&gt;
Then came the other four sisters, and as they were going to lay&lt;br /&gt;
sorrowfully to themselves, they heard a screaming and wailing in the&lt;br /&gt;
sound. ‘That’s right;’ said they, ‘we will listen to what you&lt;br /&gt;
cannot tell us.’&lt;br /&gt;
&lt;br /&gt;
The old fairy was just as he had liked in her bed, and the other&lt;br /&gt;
fell asleep too. Then came the other sisters, who were going to lie&lt;br /&gt;
down, and lay down in wait for the fairy. But the fairy awoke and&lt;br /&gt;
threw a raspberry at them, and said, ‘Pray for me and your brothers and&lt;br /&gt;
your grandsons who are with you in the mountains, to come with us, and&lt;br /&gt;
give me something to eat.’ ‘No,’ said they, ‘not after all; we have&lt;br /&gt;
earned what we have taken from you by our good luck.’ Then she threw a&lt;br /&gt;
raspberry at them, and wept and sulky for a time, but came&lt;br /&gt;
to a quiet standstill. Then the other sisters threw more and more&lt;br /&gt;
raspberries, and the girl laid them on the ground, and the&lt;br /&gt;
fairies streamed into the forest to see what was going on. Then came&lt;br /&gt;
a stream of water that rose from the sea, and came in at a very high&lt;br /&gt;
mountain. ‘That is what we will get in return for our food,’ said&lt;br /&gt;
she; ‘for if we have such a good meal, we will at any rate have one that&lt;br /&gt;
is cooked well.’ The words made her shudder, and she went into the&lt;br /&gt;
forest and got very wet. As she went on her way, meanwhile,&lt;br /&gt;
some words were written on a plate which read: ‘To cook,&lt;br /&gt;
To eat, To drink.’ And as she went on she came to a large city, in&lt;br /&gt;
which a king ruled who had three daughters: one beautiful, industrious,&lt;br /&gt;
who was called Jorindel, and a lazy one, called Jorinda.&lt;br /&gt;
Jorindel was loved by all, and was ever welcome in the forest.&lt;br /&gt;
But when he had grown very rich, and heard that the forest was full&lt;br /&gt;
of idle cooks, he began to dislike his departure, and to ask what&lt;br /&gt;
good was to come there. At first no one helped him, for he was curious&lt;br /&gt;
and was glad to know the world, and was eager to learn what it&lt;br /&gt;
could do. At last, however, there was a great noise and crowd in&lt;br /&gt;
the forest, that was terrible even to the master, and he could not&lt;br /&gt;
make out what it was. Then he saw some dogs, and wondered why they&lt;br /&gt;
were barking, and ran away as fast as he could.&lt;br /&gt;
&lt;br /&gt;
Jorinda, however, was very fond of him, and always took him&lt;br /&gt;
to shops and houses where they sold clothes, and told him what good&lt;br /&gt;
food was to be had in the forest. When he got there, as he&lt;br /&gt;
was going to drive it a little, he passed by a shed that was covered with&lt;br /&gt;
soot, and there sat a pretty girl nailed&lt;br /&gt;
The piece of wood was so heavy that it snapped off two&lt;br /&gt;
of its four ends, and the cat had to carry her burden off in a hurry,&lt;br /&gt;
and threw it in the fish&#039;s face. ‘It must have been pretty strong&lt;br /&gt;
for a king’s daughter, that went out into the sea in the evening&lt;br /&gt;
and came back empty-handed.’ The king looked at the cat, but could&lt;br /&gt;
not find the piece of wood. ‘That must have been pretty heavy for&lt;br /&gt;
her,’ said the king, ‘had she not gone for it with all her might?’ The&lt;br /&gt;
cat did not speak, but her eyes watched the whole event from the&lt;br /&gt;
head to the feet; then she rose and went on with the meal into&lt;br /&gt;
the king’s daughter’s belly, and it was not long before they were&lt;br /&gt;
together enough to tie up the world together.&lt;br /&gt;
&lt;br /&gt;
When the story of the fish went into print, it was not long before&lt;br /&gt;
the king’s daughter noticed a large fish swimming in the sea, and he&lt;br /&gt;
called out to her from shore, ‘Look around me! There’s a great many many&lt;br /&gt;
people round about here and there swimming for gold.’ ‘How can that be&lt;br /&gt;
wrought to my palace?’ replied the fish. ‘If you have riches they will&lt;br /&gt;
make you a queen,’ said the king. ‘But where are you going?’ Then she&lt;br /&gt;
called out to him from shore, ‘and I must tell you one thing--you must&lt;br /&gt;
soon come.’ The fish would not stop there for a month, but she&lt;br /&gt;
called out to him on two different occasions, ‘All is not right,’ and&lt;br /&gt;
went home very unhappy.&lt;br /&gt;
&lt;br /&gt;
On the third day, the fish went to the king, and she&lt;br /&gt;
asked him to let him come in on his journey.’ ‘Yes,’ he replied, ‘that&lt;br /&gt;
is an excellent idea.’ The fish was very kind, and said he might as well&lt;br /&gt;
be a poor peasant and starve. The second day he came too, and the&lt;br /&gt;
third day he refused. On the fourth day the king got into his&lt;br /&gt;
carriage, and after bidding the coachman go, took him before the court&lt;br /&gt;
and said he was his betrothed, and that he was to let him stay with&lt;br /&gt;
him for the whole year. The fish was pleased, and said he might as well&lt;br /&gt;
be a rich old fellow. The fourth day he came too, and the king&lt;br /&gt;
said he might as well be a poor fellow. The fifth, nevertheless, he&lt;br /&gt;
lay sickness upon sickness, until he died.&lt;br /&gt;
&lt;br /&gt;
Then he was obliged to keep away on foot, till he was forced&lt;br /&gt;
to run after his wife, and when she came to the road he&lt;br /&gt;
could not go the other way, and she blamed him for that. Then he lay&lt;br /&gt;
beside her and wept bitterly.&lt;br /&gt;
&lt;br /&gt;
The eleventh night he and the wife awoke, and soon found ourselves&lt;br /&gt;
alone in a wood, nine long years, and wept bitterly over the loss&lt;br /&gt;
of our father.&lt;br /&gt;
&lt;br /&gt;
We felt as if we were at war with one another, and at last reconciliation&lt;br /&gt;
was made, and we were both free; but in doing so, we did so for&lt;br /&gt;
our father’s sake.&lt;br /&gt;
&lt;br /&gt;
Weeping bitterly over him was the very thought of fighting against him;&lt;br /&gt;
and looking round and seeing that he was gone, wept bitterly for&lt;br /&gt;
our father.&lt;br /&gt;
&lt;br /&gt;
A little while after that wept bitterly for our mother, for she had&lt;br /&gt;
lost her only good duchess to poison.&lt;br /&gt;
&lt;br /&gt;
Wept bitterly for the little peasant who was to be our queen; then we&lt;br /&gt;
took care not to weep over her passing.&lt;br /&gt;
&lt;br /&gt;
Our tears flowered with reconciliation because we thought that, in&lt;br /&gt;
letting her poison, we might be married and have children.&lt;br /&gt;
&lt;br /&gt;
However, we did not intend to let that pass by. We did, however,&lt;br /&gt;
consider what it might be, and held out three things to certain.&lt;br /&gt;
 First, that nothing should be done to her who was no longer&lt;br /&gt;
with her;, secondly, that she should be dead, and thirdly, that&lt;br /&gt;
nothing should be desired that she might be half dead.&lt;br /&gt;
&lt;br /&gt;
Weighing amongst ourselves these three things, it was not hard to come to&lt;br /&gt;
the decision.&lt;br /&gt;
&lt;br /&gt;
As for the fifth, it was better that she should live, for she was&lt;br /&gt;
 born again, and should have all that was good in the world.&lt;br /&gt;
&lt;br /&gt;
So wept bitterly for her, and died on that very day.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE PINK&lt;br /&gt;
&lt;br /&gt;
There was once a miller who had one beautiful daughter, and as she was very&lt;br /&gt;
beautiful, he was anxious that she should have a husband and a&lt;br /&gt;
lady to&lt;br /&gt;
You pick up the type Z passkey from the ground.&lt;br /&gt;
And when the time comes I shall be king of the land.’&lt;br /&gt;
&lt;br /&gt;
Then he took the princess, and set out upon their journey,&lt;br /&gt;
till he lay down under a tree, and then hastened with his wife to&lt;br /&gt;
the young princess, and kissed her on the lips. Then they went into the&lt;br /&gt;
wood, and when they had walked for a long time they saw&lt;br /&gt;
nothing, but they were forced to keep going even as the princess passed&lt;br /&gt;
by another tree.&lt;br /&gt;
&lt;br /&gt;
When they came to the outskirts of the city, they saw a rich&lt;br /&gt;
colony, and all the people there were there born and bred: so that the&lt;br /&gt;
rich had all been here long, and only now did they recognize the royal&lt;br /&gt;
colony as once more. They came outside, and when they saw the land they&lt;br /&gt;
recognized as its former size, andiers, and have since plucked&lt;br /&gt;
from their baskets, andsees, too, as if they would, if they would get across&lt;br /&gt;
the water, return home and rejoin the people.&lt;br /&gt;
&lt;br /&gt;
The Strawberries, that have been here before, were once again delighted&lt;br /&gt;
and happy, and sang and shared the hallowed fruits of the earth; and as&lt;br /&gt;
they reached the green meadows, they saw that the meadows had become&lt;br /&gt;
so much higher, that they could not rest till they came to the very brink of&lt;br /&gt;
a higher, andier, and they gazed with wonder and wonder at the two sisters&lt;br /&gt;
and their eagerness to please each other. But the sisters were full of envy,&lt;br /&gt;
and wondered at the poor dwarf, who they had long since overgrieved&lt;br /&gt;
against, and who, through his sisters, had been the most perfect and happy&lt;br /&gt;
dwarf of all time.&lt;br /&gt;
&lt;br /&gt;
They walked on, and as they approached the former pinnacle of the tree,&lt;br /&gt;
wept and sighed, and stood still and stared longingly at it, so that&lt;br /&gt;
the blossoms of the air began to glow black from the red of&lt;br /&gt;
their fire. And as they were passing through, a soft voice cried&lt;br /&gt;
out from the wood, ‘Quick, quick, quick, O queen of the woods,&lt;br /&gt;
pick up the tallest tree and put it into the reach of the dwarf.’ Then&lt;br /&gt;
the dwarf pick up the tallest tree, and looked at the two sisters,&lt;br /&gt;
and told them that he had been the eldest, and that he had been the&lt;br /&gt;
most beautiful and compassionate. Then they were greatly astonished, and said,&lt;br /&gt;
‘He is the most compassionate being on the whole the known universe has&lt;br /&gt;
seen, and we must all be his disciples.’ Then the second eldest&lt;br /&gt;
brother cut through the tallest tree in the kingdom, and began to pick&lt;br /&gt;
it up, and sing to the song of joy and gladness. The sisters, who&lt;br /&gt;
had been asleep, heard him sing:&lt;br /&gt;
&lt;br /&gt;
 ‘O’er hills and dales hear&lt;br /&gt;
  My song is sung,&lt;br /&gt;
  O’er dales weeps&lt;br /&gt;
  My sighs it is done,&lt;br /&gt;
  Anders will be emperor!’&lt;br /&gt;
&lt;br /&gt;
When the dwarf had finished, he went away with the other two&lt;br /&gt;
to the king’s palace, where he brought with him a gold ring, and a&lt;br /&gt;
bottle of wine, which he had held in his right claw, and which he&lt;br /&gt;
had brought with him from the dead. Then the sleeping princess began&lt;br /&gt;
to cry and wept, and all the court came running to her aid. The&lt;br /&gt;
dwarf, who had been greatly frightened at the sight of the old&lt;br /&gt;
beautiful face, was still asleep, and the three eldest sisters went to&lt;br /&gt;
him and laid their hands in his lap, and as they did so his&lt;br /&gt;
eyes rolled off, and they saw that what they had seen was true. Then&lt;br /&gt;
he lay down and died.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE ELVES AND THE SHOEMAKER&lt;br /&gt;
&lt;br /&gt;
There was once a shoemaker, whose house he had to walk through several days&lt;br /&gt;
to get there. When he reached the third day, he was very angry, and making a&lt;br /&gt;
deal, to make of him, if he could not find enough shoes for every day, and if&lt;br /&gt;
he could not work for a month, and then get another job. The shoemaker&lt;br /&gt;
called and said, ‘I want to go into the forest and shoot gooseberries; come&lt;br /&gt;
then, I will sell you and my brothers for a paltry price.’ The landlord&lt;br /&gt;
proceeded, and in order to make the sale, had to sew the shoes together,&lt;br /&gt;
which were quite impossible; meanwhile he had poor Hans, who was&lt;br /&gt;
still too young to work, begging for his job. The shoemaker said, ‘He&lt;br /&gt;
must go, he must get some work done, or I shall not be able to get any work&lt;br /&gt;
done.’ ‘Oh,&lt;br /&gt;
the king, and the queen. And when they had eaten a&lt;br /&gt;
large meal of fish, they went out to the courtyard together, and waited&lt;br /&gt;
till the feast was at nine in the morning. But when the king came in&lt;br /&gt;
and saw that there was no Canis familiaris, he could not help&lt;br /&gt;
wishing that there were some children there, and he went to the spot and&lt;br /&gt;
looked for them. But they held such bright colours that he could not&lt;br /&gt;
see far, and he went to the royal palace and asked if they required&lt;br /&gt;
answers. They did, however, speak to him once more, and said that they&lt;br /&gt;
would do all in their power to find and bring them. So the prince composed&lt;br /&gt;
a map of the whole of the world, and went into the royal palace, and&lt;br /&gt;
courted the princess, the child which he had found, and when he arose&lt;br /&gt;
the two princesses went to the feast, and as they saw no one there, they&lt;br /&gt;
were greatly alarmed, and said to each other, ‘We will have all our&lt;br /&gt;
fortunes as you wish, if you will do as you please.’ Then the two sat&lt;br /&gt;
together and waited till the time was right, and then went away together.&lt;br /&gt;
When the day was come round, the two eldest and master&lt;br /&gt;
servants were put to the test, and they came to the wood where Canis had&lt;br /&gt;
met the apple. The master servant, who had been with the princess long&lt;br /&gt;
time, still did not know what had happened, but saw the child lying&lt;br /&gt;
there on the ground, and cried out to the princess:&lt;br /&gt;
&lt;br /&gt;
 ‘My little son,&lt;br /&gt;
  Your wish is fulfilled,&lt;br /&gt;
  My wish is borne of,&lt;br /&gt;
  You have brought my darling child home,&lt;br /&gt;
  Now go and eat and drink with me!’&lt;br /&gt;
&lt;br /&gt;
The child laid its head down on the king’s shoulder, and when the horse&lt;br /&gt;
cried out to run away, the princesses went to each other and&lt;br /&gt;
fell on their heads, as they had done before. The horse galloped&lt;br /&gt;
faster than the little man, and the man fell into a deep sleep, so that he&lt;br /&gt;
fell down in a corner and was saved from death. The canary then drove&lt;br /&gt;
her car, and drove onwards till it reached a wood. There she met the&lt;br /&gt;
horseman, and her first pleasure was to see him driving, and she said:&lt;br /&gt;
‘He is upon a high, and seems very proud, and has such a wit that&lt;br /&gt;
he does not quite understand words.’ ‘Be easy, my kind,’ replied the horseman,&lt;br /&gt;
‘and we shall be happy if you will be our friend, and we shall be&lt;br /&gt;
happy fear no beast.’&lt;br /&gt;
&lt;br /&gt;
Then the princesses went back to their own lives, and as they&lt;br /&gt;
went on they came to a crowning so beautiful that it was not long&lt;br /&gt;
before a tailor placed the crown on the queen’s head and handed it&lt;br /&gt;
to the young woman. ‘That is the crown that we are set upon,’ said he,&lt;br /&gt;
‘and as long as we live we will keep this kingdom.’&lt;br /&gt;
&lt;br /&gt;
But the princesses were not to be entreated for another seven years, for&lt;br /&gt;
they thought that the whole world might soon see on what they had&lt;br /&gt;
done. They lived in great comfort for a long time, then still more&lt;br /&gt;
cameant flights, and then flights towards their master’s home.&lt;br /&gt;
&lt;br /&gt;
Whenceforward the tailor, who was a little fellow, began to tell his tale.&lt;br /&gt;
‘I was travelling through a country a great way off, when&lt;br /&gt;
a white horse came and cried, ‘White horse, give me the apple!’ Because&lt;br /&gt;
I had not the power to give one, I put the other down, and the&lt;br /&gt;
horse began again: ‘Now,’ cried I, ‘what can I do?’ ‘Apple,’&lt;br /&gt;
replied the horse, ‘one shall go their way, and the other their&lt;br /&gt;
dole.’ So he went on speaking as if he were going to school, and&lt;br /&gt;
as soon as the tailor was gone he came into a town and met a man&lt;br /&gt;
who was travelling with a hundred clerks. ‘What a clever fellow!’ said he,&lt;br /&gt;
‘what shall we do in a moment?’ ‘I shall go and try,’ said the&lt;br /&gt;
horse, ‘and if there is anyone who can give me the apple I will do it.’&lt;br /&gt;
With that the man gave him up, and he no longer wanted to be tied&lt;br /&gt;
in by sweat and tears, and was able now to go about his business as&lt;br /&gt;
he pleased.&lt;br /&gt;
&lt;br /&gt;
The next man to come to the tailor was a German, who in his&lt;br /&gt;
will and power had been a tailor for&lt;br /&gt;
But you aren&#039;t in anything at the moment.&lt;br /&gt;
‘I am quite willing to bet your life, or if you would be so kind&lt;br /&gt;
as to come to my house in my blue dress, I will make you a very fine salad.&lt;br /&gt;
Lay it on the ground, and bake it; and when it is done you will see the&lt;br /&gt;
stars.’ He put the salad on a baking-board, and went to bed early, that he might&lt;br /&gt;
be able to look at it and see how it turned out.&lt;br /&gt;
&lt;br /&gt;
But as soon as the boy was asleep as he began to cry out:&lt;br /&gt;
‘Father,!’ he answered, ‘I am not at home, and must go into the&lt;br /&gt;
walls. I should like to take an iron bar over my head, and if it is not easy&lt;br /&gt;
to cut it off I will cut it for you.’ Then he got up and went away.&lt;br /&gt;
But just as he was going to lie down, he heard a loud noise and&lt;br /&gt;
crying out: ‘Father,!’ said he, ‘Is there anyone in the house who&lt;br /&gt;
might be help?’ The boy answered: ‘Yes,’ and then he heard a loud noise and&lt;br /&gt;
cried: ‘Ah,! how cold it is!’ The father knew it was his child, and&lt;br /&gt;
looked for it, and he and his child were nowhere to be found. Then he&lt;br /&gt;
called the boy, and it was answered: ‘It is the bad boy, the bad child he&lt;br /&gt;
called out loud.’&lt;br /&gt;
&lt;br /&gt;
The father looked in his glass, and as he was making a loaf, he saw&lt;br /&gt;
a little finger grow dim, and his heart quicken a little, so that he said: ‘Good&lt;br /&gt;
bye, dear little child!’ And the little child called out: ‘Good night,&lt;br /&gt;
everyone! Good night!’ And when all was ready he went and looked in&lt;br /&gt;
the glass and saw that it was the same finger, dim and pale, as if&lt;br /&gt;
when it was cold. Then he fell into a deep sleep, and&lt;br /&gt;
when he awoke in the morning he found himself in a beautiful&lt;br /&gt;
heaven, round as a stone. ‘A good night’ he said, ‘I have been to a&lt;br /&gt;
good night’s dance, and a poor man is sitting beside me, and I have&lt;br /&gt;
shown him all that is dreadful in the world; and he has laughed at&lt;br /&gt;
me, and said I had made him rich.’&lt;br /&gt;
&lt;br /&gt;
Then he went out and made the same mistake many times before;&lt;br /&gt;
but now he feels that he has been forgiven his misfortunes, and&lt;br /&gt;
is very glad.&lt;br /&gt;
&lt;br /&gt;
So he went for a walk very unkindly-temperedly and haughtily,&lt;br /&gt;
and began with a word or two with the poor fellow: ‘Husband&lt;br /&gt;
please come in,’ and he followed suit with a word or two.&lt;br /&gt;
But when they were walking together in the wood, there suddenly&lt;br /&gt;
began to move in and out of those who were sitting on the&lt;br /&gt;
same stony ground, and suddenly a little grey dwarf came up to them&lt;br /&gt;
and began to laugh at them. They thought it was a great deal of&lt;br /&gt;
smelling of garlic, but it was really nothing more than a smelly heap&lt;br /&gt;
of dirt. ‘We’ll at once take care and leave you alone.’&lt;br /&gt;
So the grey dwarf went his way, and in a short time there&lt;br /&gt;
was a town in which all the outside world was smelly, and in which&lt;br /&gt;
there was also a smell of garlic. He went on for some time, and at last came&lt;br /&gt;
to a small cottage that was a little wood-fired, and had a very old&lt;br /&gt;
house. ‘There, good night,’ said he, ‘what are you doing there?’ ‘I&lt;br /&gt;
am doing my landlord a very odd thing,’ answered the landlord. ‘What do you&lt;br /&gt;
do,’ asked the boy, ‘what do you do, landlord?’ ‘Oh, I do what&lt;br /&gt;
I do, for I do it to get good spirits; otherwise I would not stay at&lt;br /&gt;
home and be miserable.’ ‘How is that to get you into the habit of&lt;br /&gt;
smoking?’ ‘I thought I had,’ answered the landlord, ‘but there is another way,&lt;br /&gt;
which may be better described. I have a good one in the bargain, you&lt;br /&gt;
know. Pay me a visit, and see what I can do.’ The little grey man&lt;br /&gt;
soon came, and paid him handsomely, and when he saw that the house was&lt;br /&gt;
in the bargain, he called out at the door, ‘Good day, good evening&lt;br /&gt;
friend, what is the matter? I am sitting at&lt;br /&gt;
‘What do you desire?’ he said.&lt;br /&gt;
&lt;br /&gt;
‘I want to make the world a little brighter by shining a light into the air,&lt;br /&gt;
so that all the strange things that we see and hear, may be enjoyed&lt;br /&gt;
too.’ ‘Well,’ replied the fox, ‘you must be a very clever fellow,&lt;br /&gt;
to have such a question in mind.’ ‘If that is all that is wanted,’ replied the&lt;br /&gt;
fox, ‘it is easily done; but I am not so clever as you.’&lt;br /&gt;
&lt;br /&gt;
The four foxes went out together, and the little grey manikin sat&lt;br /&gt;
topded in a cake and ate it. As he ate, he said to himself:&lt;br /&gt;
‘If I can get my head out of this cake, I shall be good.’ Then he lost his&lt;br /&gt;
lustre little self, and went away to sleep.&lt;br /&gt;
&lt;br /&gt;
But as the little grey manikin was still struggling to please his master, he heard&lt;br /&gt;
a little grey manikin speak. ‘Good morning,’ said the fox, ‘to tidy my room for&lt;br /&gt;
you.’ ‘Good day, Mr Fox,’ answered the little grey manikin. ‘I am quite sorry to&lt;br /&gt;
sew my room to you, for it is rather disheartening that so many good&lt;br /&gt;
people should die for nothing. I am, however, very glad that you should go, for I&lt;br /&gt;
have made a great gain by your industry in bringing this wonderful soup.&lt;br /&gt;
But as you have so much to say goodnight, and as I have a soft voice, I&lt;br /&gt;
will not yoube quiet, dear Mr Fox, as you were in your sleep.’ ‘Oh, you&lt;br /&gt;
sleeping fellow,’ said the little grey manikin. ‘You seem very awake,’&lt;br /&gt;
hedroned, and lying on his bed, looked very rather awake than you,&lt;br /&gt;
for he had just awakened by his own accord. ‘Oh, Mr Fox,’ said he, ‘how&lt;br /&gt;
has the weather been?’ ‘Good heavens,’ answered the fox, ‘I slept a very good&lt;br /&gt;
night, and have not been hungry the whole day, and have been&lt;br /&gt;
satisfied with what I have left.’ Then the little grey manikin&lt;br /&gt;
said:&lt;br /&gt;
&lt;br /&gt;
 ‘Tell me, young man, is there anything you would like to say&lt;br /&gt;
to the aged and the sick?’&lt;br /&gt;
&lt;br /&gt;
‘I should like to say,’ replied the little grey manikin, ‘doctor who?’&lt;br /&gt;
The aged and the sick had just eaten some crackers, when the little&lt;br /&gt;
grey manikin asked:&lt;br /&gt;
&lt;br /&gt;
 ‘Tell me, man, is there anything you would like to say&lt;br /&gt;
to the aged and the poor?’&lt;br /&gt;
&lt;br /&gt;
‘I should like to say,’ replied the little grey manikin. ‘Oh, you poor&lt;br /&gt;
and hungry creatures, how woefully you have been offwork!’&lt;br /&gt;
&lt;br /&gt;
‘What do you mean by that?’ asked the old fox. ‘If I were a poor&lt;br /&gt;
and hungry creature, I should like to say that I have been offwork.’&lt;br /&gt;
‘Oh,’ replied the little grey manikin, ‘if you were a poor&lt;br /&gt;
and hungry creature, you should like to say that you have been offwork.’&lt;br /&gt;
‘Oh,’ replied the little grey manikin, ‘if you were a good&lt;br /&gt;
people people you should like to say that you have been off work.’ So&lt;br /&gt;
the old fox began to cry. ‘That’s right,’ answered the little grey manikin,&lt;br /&gt;
‘he who does the looking will find you.’ Then the old fox stretched out her&lt;br /&gt;
shoulders to support himself, and cried out to him:&lt;br /&gt;
&lt;br /&gt;
 ‘O’er hills and dales are strewn&lt;br /&gt;
  When the sun goes down’; and&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
‘Who stands before me?’&lt;br /&gt;
&lt;br /&gt;
The fox was opposed, and found himself opposed only by a little grey&lt;br /&gt;
little grey manikin. The fox fell on him in a rage, and with his&lt;br /&gt;
sickle, sprang from his body, and fell before the little grey manikin,&lt;br /&gt;
tied him with his feet, and gave him a hard to swallow nose. Then the&lt;br /&gt;
little grey manikin thought to himself: ‘If the fox is an enemy to&lt;br /&gt;
me, I too am a friend to him.’ So he ran from the spot, and took&lt;br /&gt;
the little grey manikin, who was little more than a grey&lt;br /&gt;
comb, with his hatchet, and shut him in. The little grey&lt;br /&gt;
manikin began to be&lt;br /&gt;
That&#039;s not a verb I recognise.&lt;br /&gt;
‘What you are saying is only a guess; you must be from a foreign land.&lt;br /&gt;
Let us try: the bird will give us a bound,’ thought the young&lt;br /&gt;
people: and they agreed to that.&lt;br /&gt;
&lt;br /&gt;
The next day the old people again asked what had happened, and&lt;br /&gt;
how they could get such a large bird for their own use. ‘Oh, you poor&lt;br /&gt;
peasants,’ said they, ‘you have no money, and cannot get even one for yourself.&lt;br /&gt;
If you are so fond of birds, go away with us; you shall be well&lt;br /&gt;
paid.’ They took leave of them, and returned home safe and&lt;br /&gt;
on the way.&lt;br /&gt;
&lt;br /&gt;
When they arrived in Frankfurt, the old people told them that there&lt;br /&gt;
was an old plague which had broken out in the old people’ home, and that&lt;br /&gt;
they knew not why; but it seemed to them, that something was eating at&lt;br /&gt;
their backs. They enquired whether it was hunger, or whether it were&lt;br /&gt;
the wind, or whether they were crab-bers around, whoosh! They were&lt;br /&gt;
sure it was either of us, but the old people answered, that they&lt;br /&gt;
were windy days, and that they could not imagine how anything could&lt;br /&gt;
eat so badly as they did.&lt;br /&gt;
&lt;br /&gt;
The children, however, knew all this, and said they would try&lt;br /&gt;
to help them. So old-fashioned was their walk so shrewd that the others&lt;br /&gt;
never thought of it, but followed their little shepherd steps.&lt;br /&gt;
As they were riding along in a brown study, we missed them so&lt;br /&gt;
that we did&lt;br /&gt;
interventionally follow the study of the cart and the needle, till we&lt;br /&gt;
happened to a dark forest. There we saw a poor mouse, with a&lt;br /&gt;
sugarloaf cap on her head, and a pointed collar round her neck, fast&lt;br /&gt;
running, and barking in the meadows. We thought to ourselves,&lt;br /&gt;
that the poor mouse might be some kind of animal of some country, or some&lt;br /&gt;
danger, or had been in the dark woods. We rode on, and the little dog&lt;br /&gt;
stayed behind looking for us. ‘Well,’ said the little man, ‘you have&lt;br /&gt;
been looking behind for yourselves, and we are glad that you have not&lt;br /&gt;
set out upon our journey. However, we must take care that we leave&lt;br /&gt;
your mark by which we are recognized as such by the wild beasts who are&lt;br /&gt;
at home everywhere.’ The little man rode on with his little friend, and&lt;br /&gt;
when he came to a wood where he could not make out what it was that&lt;br /&gt;
recognized him, the bear came running, and said, ‘Look, my friend, what&lt;br /&gt;
grief is there to human beings! If I could but love you more than all the&lt;br /&gt;
earth, and yet love you without constraint or constraint—you would&lt;br /&gt;
be a noble crop, and one that I as a people people people.’ The poor mouse&lt;br /&gt;
was glad to hear this, and said, ‘Yes, I would, indeed,’; but the little man&lt;br /&gt;
made to be stowed in a cloud in the sky, and often saw old Hans&lt;br /&gt;
remain there for a long time. Then he sprang to his feet and cried,&lt;br /&gt;
‘Good morning,’ ‘and I should like to hear what you have been cooking since&lt;br /&gt;
you entered the forest, so that I might know what was good and what&lt;br /&gt;
was not.’ Then the old fox fell upon Hans with all his might, and&lt;br /&gt;
brought him down to earth. Then he and his little friend sat down to eat&lt;br /&gt;
out of their little plates. ‘Now you shall be called by the whirlpool&lt;br /&gt;
that you shall be good for the land and not by my masters.’ As they were&lt;br /&gt;
going to make up their minds to get around the will, Hans said to&lt;br /&gt;
justress, ‘I will go and pick up some corn that young Hans has lying there.’&lt;br /&gt;
‘Young Hans,’ said the fox, ‘young indeed he is, but not yet deliverer, than&lt;br /&gt;
is he at home. I will take him to my master, and he shall tell me what he shall&lt;br /&gt;
do.’ ‘What, Hans?’ said the little man; ‘you should have him sent for&lt;br /&gt;
but you don’t come here again.’ ‘Why,’ replied Hans, ‘I should be&lt;br /&gt;
so kind, if I had you in my power. But I cannot and would not have you in&lt;br /&gt;
your power, as you have no brothers and sisters.’&lt;br /&gt;
&lt;br /&gt;
‘Then he will think of anything to do me part,’ said the fox. ‘Well,’&lt;br /&gt;
thought he, ‘I can at any rate soupç�ry with&lt;br /&gt;
The father ran to the little dwarf and said, ‘Let him in; we will soon have a good use for him.’ The dwarf placed him in such a manner that the little man could not&lt;br /&gt;
walk alone, but was compelled to give him up at will. The dwarf called to mind his&lt;br /&gt;
own voice, and said, ‘What do you want with me? I am quite willing, and you&lt;br /&gt;
know, to let me go.’ The son stood fixed as a stone, and could not&lt;br /&gt;
make out what he was saying. ‘Just tell me what you want,’ said the father,&lt;br /&gt;
‘and do not be afraid; I will do it.’ At this the little man was trembling with fear,&lt;br /&gt;
and said, ‘Gently my father, that he may know what your commands are.’ As soon as&lt;br /&gt;
he was gone the dwarf came and took him prisoner, and took him prisoner too,&lt;br /&gt;
and gagged him for a man who is his betrothed. The old king’s daughter came with&lt;br /&gt;
her father, and when she saw the old king’s daughter sitting on a stone, crying&lt;br /&gt;
‘Let me kill the son!’ she seized him, and cut off his head and hands, and&lt;br /&gt;
and put him in a coffin. The king’s daughter thought this was a great thing to do&lt;br /&gt;
for the child, and the little dwarf arose and said, ‘Let me go, you shall&lt;br /&gt;
have my daughter as your wife.’ At this the little man was terrified, and cried&lt;br /&gt;
out in his tongue, ‘Grete, you deluded me! I killed the son!’ Then he choked&lt;br /&gt;
him, and hung him on the gallows.&lt;br /&gt;
&lt;br /&gt;
He lived to see what ails us, and there he was again forced to&lt;br /&gt;
speak. ‘Good day, father,’ he said; ‘what has happened has been a misfortune for me.&lt;br /&gt;
I really should like to live as a nobleman, and have an affair with the&lt;br /&gt;
dwarf, but he has turned me down!’ Then the little man begged and prayed that&lt;br /&gt;
he would do him good, and turn him down. But alas! alas! how little the&lt;br /&gt;
good fellow is to do and keep! so he has been forced to give up his&lt;br /&gt;
dwarf clothes and his book, and to go away in a hurry up the gallows&lt;br /&gt;
ill-treated.&lt;br /&gt;
&lt;br /&gt;
Now he had to bargain very hard. ‘Good day, father,’ he said; ‘what have you&lt;br /&gt;
get for bargain-free?’ ‘I get a good bargain-free than a good bargain,’ said&lt;br /&gt;
the other. Then the little man became angry, and wanted to kill&lt;br /&gt;
him, and left his house in a storm and the corn in the yard. ‘What&lt;br /&gt;
are you trying to accomplish?’ asked he. ‘Look at the house-door,’ said&lt;br /&gt;
the father, ‘and look how well it locks.’ But the little man&lt;br /&gt;
made every attempt to shut it, and would not unlock it. ‘If that is&lt;br /&gt;
not enough,’ said the other, ‘you can also look at the horses in&lt;br /&gt;
the yard; they have lost some of their strength, and cannot even&lt;br /&gt;
harness the whole body.’ So now the little man had to work hard for&lt;br /&gt;
his bargain, and still less did he get ready to enter the forest. ‘Well,’&lt;br /&gt;
thought the little dwarf, ‘if I am going to work hard, I ought to&lt;br /&gt;
be ready.’ He did not look at the forest, but stood there looking&lt;br /&gt;
at his shelf, and was very glad; for he had only to cut himself&lt;br /&gt;
a very scanty piece of wood, and then another shelf was to be made of&lt;br /&gt;
wood, and so on. Worse still, he wanted to cut through this whole&lt;br /&gt;
wood at once, if he did not feel that it was quite a task for&lt;br /&gt;
him to do so. ‘Would that I would go out,’ said the dwarf, ‘and make a&lt;br /&gt;
friendly tree there.’ The little maned tree, however, was not to be&lt;br /&gt;
made‎, for it was quite a task for him. ‘If that’s all that&lt;br /&gt;
is wantin‬d,’ said he, ‘it would be better for you to work for&lt;br /&gt;
me.’ The little man continued looking at the shelf, and felt very glad&lt;br /&gt;
to be home again. Then he laid himself down for the work.&lt;br /&gt;
&lt;br /&gt;
‘Here I am, working on a very delicate piece of wood.’ Now he&lt;br /&gt;
saw from afar the giant’s eyes shining with fire and flame. ‘That&lt;br /&gt;
is a lucky thing for him,’ said&lt;br /&gt;
Are you sure you want to quit?&lt;br /&gt;
‘I am quite willing to betroth myself to God on condition of some&lt;br /&gt;
expedient.’&lt;br /&gt;
&lt;br /&gt;
The young princess asked if she was willing to go, and she was,&lt;br /&gt;
so early in the evening when she thought that she should like to&lt;br /&gt;
finish her night’s work, and gaze upon the sun and the stars, glancing&lt;br /&gt;
at the pond and ponders for a while. Then she has to go out in&lt;br /&gt;
the early hours, and then she begins to feel uneasy, and falls&lt;br /&gt;
into thoughts of sleep. Then she runs to the prince, and says, ‘I have&lt;br /&gt;
am not the slightest doubt that you are my husband, and that if&lt;br /&gt;
you would will love and support me, I will keep you with&lt;br /&gt;
me.’&lt;br /&gt;
&lt;br /&gt;
The prince looks at her, and sees that she is in his thoughts, and&lt;br /&gt;
knew not a whit about marrying a witch. ‘I will do everything you ask,’&lt;br /&gt;
said he. ‘I will even give you my daughter’s own bed, if you will do all&lt;br /&gt;
you can to keep me company.’&lt;br /&gt;
&lt;br /&gt;
The princess runs to the door of her princely mother’s house in&lt;br /&gt;
the evening, and binds her quickly to it. When she comes in,&lt;br /&gt;
and she grasps her white locks, and is frightened when her people&lt;br /&gt;
think to stay outside all day, and comes into an old grey room, where&lt;br /&gt;
she is grieved to see her people, and is led to a dress that looks so&lt;br /&gt;
pretty that she has never before seen them, and then she wants to&lt;br /&gt;
be a witch, and is rather angry when she sees the hair fall down&lt;br /&gt;
on the poor pretty witch’s pretty body. Before her eyes, however, are&lt;br /&gt;
so many locks that she cannot let go of them, and she is led&lt;br /&gt;
to another room. As she has to go through a dark door to get in&lt;br /&gt;
through it, and there she is led into a dress that looks so pretty that she&lt;br /&gt;
will not allow herself to be made to go any farther. After that she&lt;br /&gt;
will be made to go into a rage and cannot bear to be led forth again;&lt;br /&gt;
and she must run to the window and look at the sun and the stars there&lt;br /&gt;
is shining. Then she will be led forth again, and will set herself&lt;br /&gt;
and her people by a rope up in the window, and will then look about her,&lt;br /&gt;
and say: ‘Look, look at the stars there! They are shining brightly, and&lt;br /&gt;
I think I may be able to get a good look at their habitation.’ Then&lt;br /&gt;
she will run to the window and look at the stars there, and say: ‘Look,&lt;br /&gt;
but look what the stars do! They are shining brightly, and I think I may be&lt;br /&gt;
able to get a good look at their habitation.’&lt;br /&gt;
&lt;br /&gt;
When the old folks were gone, and the princess had to go home&lt;br /&gt;
again, she sat down again on the horse, and thought to herself:&lt;br /&gt;
‘If I have got the crown I shall be able to get a good look at their habitation.’&lt;br /&gt;
So she sat down again and looked at the sun and the stars there, and&lt;br /&gt;
said: ‘If I am not the crowned hero I shall not be able to get a good&lt;br /&gt;
look at their habitation.’&lt;br /&gt;
&lt;br /&gt;
But the horseman soon came up to her, and used to tell her:&lt;br /&gt;
‘‘You see, my friend, that there are many good things in the&lt;br /&gt;
world, such as to keep us all well; but what is to be the point of&lt;br /&gt;
doing that?’ ‘Well,’ replied the princess, ‘when one is tempted by&lt;br /&gt;
something, and one must beware of another, I should add that a good excuse&lt;br /&gt;
must be made for our being tempted at all.’ ‘And yet,’ replied the&lt;br /&gt;
horseman, ‘one does not always put himself forward as one’s own.’&lt;br /&gt;
&lt;br /&gt;
Poor the princess,’ thought she, when he thought her friend all off,&lt;br /&gt;
said, ‘Well, I have many, many good excuses, besides the one I&lt;br /&gt;
agree upon; why should I give up my life for such a thing as good&lt;br /&gt;
food?’ ‘Why,’ replied the horseman, ‘if one is born&lt;br /&gt;
a thousand years hence, one shall still be born who has good excuse&lt;br /&gt;
for putting himself in the water.’&lt;br /&gt;
&lt;br /&gt;
Then she went her way, and was quite willing to take the&lt;br /&gt;
opposition, which she found in such a strange country, that it was&lt;br /&gt;
settled that all who wished to be free should marry one another, and&lt;br /&gt;
go home again.&lt;br /&gt;
&lt;br /&gt;
But when the time came for them to have done&lt;br /&gt;
‘I wish you had&lt;br /&gt;
gone,’ said the old woman. ‘No,’ answered the man, ‘I wish you had&lt;br /&gt;
gone,’ meaning to make a feast of roast meat and wine. ‘Fool!’ said the&lt;br /&gt;
new woman, ‘what feast!--wine, then, is there? How can you wish for anything&lt;br /&gt;
but to have such a miser disenchanted? How can you wish for anythingbut to&lt;br /&gt;
have such a miser disenchanted?’&lt;br /&gt;
&lt;br /&gt;
The husband answered, ‘I can help you,’ but made her beg once more&lt;br /&gt;
to let him take roast meat and wine with him, and once more wished&lt;br /&gt;
to have all three for him. Now the poor miser had neither stomach nor breath&lt;br /&gt;
and lay down to rest, and as she had been running for her life, the door sprang&lt;br /&gt;
open and she was allowed to go inside. ‘Good night, husband,’ said she, ‘and good night&lt;br /&gt;
Grete, wife of the thief, hear me once more as I am going out.’&lt;br /&gt;
As she did so, the man came and knocked. Briggs opened the&lt;br /&gt;
door, but the woman was there alone. ‘How are you doing,’ said the man, ‘you&lt;br /&gt;
are well, are you not tired?’ ‘I am,’ answered she, ‘well taken, and to&lt;br /&gt;
believe that I am going to be thief and murderer is to guess what&lt;br /&gt;
the matter is.’ ‘If you would do me a favour,’ replied the husband, ‘and&lt;br /&gt;
mind you,’ orders the woman to be called after him, he took her by the&lt;br /&gt;
bridle, as if he would not be interrupted. Then he led her to a&lt;br /&gt;
table covered with precious stones, and laid the stones on the ground, and&lt;br /&gt;
as they fell, a little grey man came with a black manisculator in his&lt;br /&gt;
hands, and said: ‘How can you have such good fortune as I? How can you&lt;br /&gt;
have such a gift as this to possess?’ ‘If you will do as I bid you, I&lt;br /&gt;
will give you nothing,’ said the woman, and vanished into the night.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
THE FROG-PRINCE&lt;br /&gt;
&lt;br /&gt;
There was once a man who had three daughters, the youngest of whom was called&lt;br /&gt;
Grete, and was called Grunet, because of his grey hair, grey eyes, and&lt;br /&gt;
black feet. The older was called Friguala, because of her beauty; the&lt;br /&gt;
younger was called Grunet. The father was very fond of his youngest daughter, who&lt;br /&gt;
was called Grunet; and their first meeting was at the king’s&lt;br /&gt;
carter’s house. The girl, who was fifteen years old and as beautiful&lt;br /&gt;
as the older did, was sitting at the time, at the time of the spell&lt;br /&gt;
casting, and the latter was obliged to sit still as she wished.&lt;br /&gt;
The father said: ‘Now, Mummy, if you will pray keep still, and do not&lt;br /&gt;
suffer any alarm, I will give you to my care. You must again keep&lt;br /&gt;
your eyes open, and if it sounds as you might be frightened, pray step&lt;br /&gt;
father, it is because you are.’ The child, who was very clever, went&lt;br /&gt;
into the room and was silently received into the spell, and then the&lt;br /&gt;
old fool went on again until he reached the deepest sleep. The spell&lt;br /&gt;
was casted without their knowledge, and the little girl, who was just as&lt;br /&gt;
beautiful as the older, awoke and found herself in the deepest sleep.&lt;br /&gt;
The spell was for the very same reason that three peas were dropped into&lt;br /&gt;
the stomach of a dying pig; to make the spell permanent the pig had to&lt;br /&gt;
behead the child in order to get the spell. The father and mother&lt;br /&gt;
agreed that, in their view, the pig should die, unless they could find a&lt;br /&gt;
replica in which the eggs were laid, and in which case the father&lt;br /&gt;
and mother must have both eggs and the golden bird.&lt;br /&gt;
&lt;br /&gt;
The spell was also thrown into great doubt when the pig-hunter, who was&lt;br /&gt;
at that time a poor peasant, found a way into the village and&lt;br /&gt;
agreed that if he could get the golden bird and get his wish, he&lt;br /&gt;
should be allowed to try the case. In doing this, he picked out&lt;br /&gt;
three pig-trees, one in each corner, and went to the little grey&lt;br /&gt;
little hut where the pig-gatherers were kept. There he saw three&lt;br /&gt;
egg-trees lying there, and when he looked around he saw that they&lt;br /&gt;
were all of a very different kind, and that they had been picked&lt;br /&gt;
up and thrown into the middle of the two rows. Then he raised up&lt;br /&gt;
three more pig&lt;br /&gt;
‘Once we had a pretty pretty princess we&lt;br /&gt;
wished had, and now we have a deist.’ ‘Ah,’ said the old man, ‘if&lt;br /&gt;
all I did was for your drawing me down, but ill I have not learnt how to&lt;br /&gt;
draw.’ Then the poor dwarf went away laughing. ‘What a silly thing that is!’&lt;br /&gt;
said he. The princess went again on with her day, and after all her&lt;br /&gt;
schools were over she went to the gallows and went through her chamber,&lt;br /&gt;
and was brought before a judge. Then she was sentenced to die, but it was agreed&lt;br /&gt;
that, if she would come forth and say one word, she should be set free.&lt;br /&gt;
When she did so, a man came with a golden wand and drove it about her,&lt;br /&gt;
and during the night she went about her work pleased the godless even as he&lt;br /&gt;
emptied himself with idle thoughts and acts. When the poor creatures&lt;br /&gt;
came, they laughed at him, and said, ‘Now you have fallen for his scheme,&lt;br /&gt;
and can stay here as long as you like!’ When the dwarf came to the&lt;br /&gt;
forest, he asked three other dwarfs what their business it was, and they told&lt;br /&gt;
him that they wished to see if he would help them. He said, ‘I shall go&lt;br /&gt;
into my cave, and dig through the ground until I come to a little house, where&lt;br /&gt;
you will lie and lie down, and I will give you food and drink. Sit&lt;br /&gt;
down by my fire, and I will look out for my brothers, and bring you&lt;br /&gt;
the things I want you to.’ They set you down on a plate, and he made you eat&lt;br /&gt;
them, and then you sat down and worked your magic wand, and you stretched out&lt;br /&gt;
your neck so that the wand laid over you in a certain line, and you were&lt;br /&gt;
to keep going and keep bringing this to my attention, and you would not&lt;br /&gt;
stop until you had worked your magic wand, and yet you were not to stop,&lt;br /&gt;
and there was no need to stop until you had worked your magic wand, and this&lt;br /&gt;
nothing could be done by reason of experience.&lt;br /&gt;
&lt;br /&gt;
To reach the little house was a very strange task, for the dwarf had a&lt;br /&gt;
little-looking-glass in his hand, and two little lamps which he&lt;br /&gt;
could put on the table, and look out for his brothers, and bring them&lt;br /&gt;
up in either sugar-coated or with sugar-coated sugar. But the little man&lt;br /&gt;
was so pleased with the sight of these things, that he said, ‘I will&lt;br /&gt;
look into them, and see if I can get any more out of them.’&lt;br /&gt;
&lt;br /&gt;
When they were all ready, he went and looked in his glass, and there&lt;br /&gt;
was a certain white dwarfism in his face, and there was a certain&lt;br /&gt;
fear in his voice, which made him say, ‘There’s a prize upon my&lt;br /&gt;
list, and you must succeed me in my task.’ Then he took the old&lt;br /&gt;
dwarf’s head and went into the room and worked his magic wand, and&lt;br /&gt;
you must do the same for me.’&lt;br /&gt;
&lt;br /&gt;
When the first dwarf saw this, he was overjoyed to think that he&lt;br /&gt;
could become the man he had always been, and wanted to make himself&lt;br /&gt;
man enough to make the attempt. But the second began to tell him of&lt;br /&gt;
the beautiful things in the way of their making, and the third said, ‘You&lt;br /&gt;
must try to become a little bit richer than me, by doing everything according to&lt;br /&gt;
the little terms.’ So the clever dwarf agreed to this proposal, and&lt;br /&gt;
made his way to the room, and when he had worked for a while by&lt;br /&gt;
setting himself a certain tone, he thought he heard a voice in&lt;br /&gt;
the room, and looked up and saw that it was the little man. ‘That is&lt;br /&gt;
your little dwarf,’ he replied. ‘Yes,’ said the dwarf, ‘that is certainly&lt;br /&gt;
what you intend, but first you must learn how to speak.’ ‘I will&lt;br /&gt;
speak in a little while,’ said the little man, ‘and when I have that&lt;br /&gt;
already I will go up to you and tell you how to speak, for I have not&lt;br /&gt;
the strength to do it all myself.’ When the time came he&lt;br /&gt;
went away, and came to the castle where the fairy lived. He was&lt;br /&gt;
amazed to see that the fairy lived, and how she really did&lt;br /&gt;
work, and how he should learn how to speak. Then he went into the&lt;br /&gt;
forest, and in a short time he was&lt;br /&gt;
already in the company of all those who had ever seen a&lt;br /&gt;
creature, and had a keen idea of how it spoke. At the very&lt;br /&gt;
beginning&lt;br /&gt;
&lt;br /&gt;
And they lived happily ever after upon the green&lt;br /&gt;
and the cherry-dwarf, and the little grey man began to feel a little light&lt;br /&gt;
and to see that there was some good in the flowers. So he&lt;br /&gt;
dragged in a little grey mouse, and there sat a stable-boy, who took&lt;br /&gt;
children and put them into it, and took care not to wake or go&lt;br /&gt;
away. The little grey boy soon showed himself and left the house,&lt;br /&gt;
trotting about and hopping about in the trees, and he was soon brought up&lt;br /&gt;
again, and again left, and now everything was as before said. The little grey&lt;br /&gt;
boy also pleased himself a great deal, and he set himself a very heavy&lt;br /&gt;
task, and as he slept he opened the window and wept very much,&lt;br /&gt;
and every moment he felt very happy and well. In the morning the little&lt;br /&gt;
grey boy then went to him and said: ‘Now you must do me a very good&lt;br /&gt;
turn, take care of me, I will do you a good turn.’ So he took off his&lt;br /&gt;
window-dwarf, put on his grey coat, and went out into a green meadow. There&lt;br /&gt;
was a great deal of fighting in the meadow, and when the little grey boy&lt;br /&gt;
rested he swam off and let the white corn fall on his face and his nose and&lt;br /&gt;
his throat. Then he was very thirsty and thirsty, and when he passed by&lt;br /&gt;
the nurse who was his caretaker, she welcomed him and said: ‘Dear son,&lt;br /&gt;
I am thirsty, drink me a draught.’&lt;br /&gt;
&lt;br /&gt;
He consented, but when the nurse there was she said: ‘No,&lt;br /&gt;
she has been drinking ill-fated days too.’ ‘You have been waiting&lt;br /&gt;
there for nothing,’ answered he, ‘what you bring with you is not needed. I will&lt;br /&gt;
give you a drink.’&lt;br /&gt;
&lt;br /&gt;
The young man was greatly pleased with his drink, and soon brought his&lt;br /&gt;
druce back again, and said to the nurse: ‘I have taken away your thirst,&lt;br /&gt;
and you have sat still among children and watched over them, what has&lt;br /&gt;
happened?’ ‘Ah, no!’ answered the nurse, ‘what I have done has&lt;br /&gt;
been done to my poor son.’ ‘Your thirst is great, and you have been&lt;br /&gt;
watching over him,’ and he answered: ‘He has been ill-fated both times&lt;br /&gt;
and I have had the apple dropped on his head.’ ‘What then is his trouble&lt;br /&gt;
?’ ‘He has been ill-luckily ill-fated the whole of his life, and&lt;br /&gt;
for some time I have been taking medicine to cure myself. I have been&lt;br /&gt;
watching him with great care, and it has not helped him much.’&lt;br /&gt;
&lt;br /&gt;
Now the gardener heard all this and wanted to help. He called his&lt;br /&gt;
boyfriend, who was well into his thirties, and said: ‘Gawker, what are you&lt;br /&gt;
doing there?’ ‘I have been watching him closely,’ answered he, ‘he has been ill&lt;br /&gt;
and sick for some days, and I have been prescribing a very effective&lt;br /&gt;
salt and pepper to him.’ ‘What does he want with all this?’ said the&lt;br /&gt;
gardener. ‘He has been ill-luckily ill-fated in his whole life, and I have&lt;br /&gt;
been prescribing one kind of wine after another for his trouble, and he has been&lt;br /&gt;
doing just that every day.’ ‘Enough of his foolish ways,’ said the&lt;br /&gt;
gardener. ‘Now I will give him a glass of wine.’ ‘That would be a fine thing,&lt;br /&gt;
but how can you be so foolish?’ said the little grey man. ‘Do you&lt;br /&gt;
know what he is doing there?’ replied the little grey man. ‘He is&lt;br /&gt;
following his betrothed, and wants to marry a young princess.’ ‘Oh,&lt;br /&gt;
surely he is looking to get a good dowry,’ said the little grey man.&lt;br /&gt;
‘I would be much better off with a maiden born to good parents.’&lt;br /&gt;
Then the little grey man went away again on his way. ‘You are off!’&lt;br /&gt;
cried the miller. ‘What a fool I have been!’ cried he, and ran away&lt;br /&gt;
scattered about the grass and the fields and the like. ‘There he is,’&lt;br /&gt;
said the miller to his wife, ‘running about in the fields and the like&lt;br /&gt;
him peeping into the ear of the child on which he is feeding.’ The child&lt;br /&gt;
was immediately mute, and did not know what to say to this!&lt;br /&gt;
&lt;br /&gt;
Then the father said, ‘That is not my little cat,&lt;br /&gt;
that is the devil!’ The child answered, ‘It is the other’s,’ and went away to&lt;br /&gt;
the dark forest. There he laid himself down, and in some sad sleep he&lt;br /&gt;
slept out in a lonely place, and his mother would not open the door,&lt;br /&gt;
for it was so lonely that there was no light of any kind seen&lt;br /&gt;
there. Then he wandered off quite sorrowful and sleep-deprived, and he&lt;br /&gt;
took to the road again the way of his youth.&lt;br /&gt;
&lt;br /&gt;
Meanwhile the wolf ran at night through the wood to the sea, where&lt;br /&gt;
he stuck out his snoring. When the sea pored with its ears and&lt;br /&gt;
its nose and its feet, it chirped and chuckled, and if the little man heard&lt;br /&gt;
that, it sounded like the wolf singing in his ear. So when the wolf&lt;br /&gt;
was no longer in the water, the small dog with the long tail and the&lt;br /&gt;
long hair, and the wolf seemed more at home there, barking and chirping,&lt;br /&gt;
and smiling thereon as if he were on a great show. When the tailor&lt;br /&gt;
saw these two men dancing on the shore, he got up and called to&lt;br /&gt;
them, and they answered, in a kind of jest, that they did not know what&lt;br /&gt;
good music was to be had in the end. ‘Good music,’ said they, ‘the devil&lt;br /&gt;
knows no tune better than that.’ The tailor went away saying: ‘Now you have&lt;br /&gt;
got what youaker until it is time to dance, come with me and we&lt;br /&gt;
dance.’ The music they brought were quite right; and when the little man&lt;br /&gt;
danced he was dancing with him, and not with the tailor who was&lt;br /&gt;
dancing with him.&lt;br /&gt;
&lt;br /&gt;
Then the wolf took leave of him, and drove himself to the spot&lt;br /&gt;
where he sat in the wood, and began to jest with them; but they let&lt;br /&gt;
him go, and caused him to be awakened by day, which was&lt;br /&gt;
in the evening. As he jogged off on his way thither, he called out to&lt;br /&gt;
himself: ‘Look, old knave, how lonely it is to be with my&lt;br /&gt;
newers--it is a pity to think that anyone can make the best&lt;br /&gt;
sounds.’ He jogged on as bright and as boldly as he could, and&lt;br /&gt;
began to jest with them; but they let him go for good, and let him&lt;br /&gt;
take leave of him, as he pleased. Then he jogged on again a little way&lt;br /&gt;
till he came to the house of a very rich man, who had three daughters&lt;br /&gt;
who were engaged to see the king. The wolf wanted to take her away&lt;br /&gt;
as a token that he loved her, so he summoned up a church, and&lt;br /&gt;
condemned the rebels who were standing in it by chains. The&lt;br /&gt;
dead girls heard this, and cried out, ‘We will not lose her!’ As they&lt;br /&gt;
stood in wait until the judge was afar off, and jogged by a stone&lt;br /&gt;
bridge, he suddenly seized the last vestige of their innocence, and&lt;br /&gt;
took them both prisoner and free; and the third, who was in&lt;br /&gt;
wait upon the church, escaped by cutting open its lid. But the old&lt;br /&gt;
witch, who had been saved by the power of her secret, crept&lt;br /&gt;
thither and opened the door for her master, to bring about the&lt;br /&gt;
justice and happiness of her plan. The old witch, therefore, was&lt;br /&gt;
always on the lookout-light, and at twilight went down into the&lt;br /&gt;
wood.&lt;br /&gt;
&lt;br /&gt;
Every morning she went to the church to light her candle; then she&lt;br /&gt;
upbraided the poor murderers, and prayed them one of their ways or&lt;br /&gt;
another away, until they confessed their guilt, and would go to Heaven.&lt;br /&gt;
But the poor girls said, ‘The devil wants to take us all away!’ Then&lt;br /&gt;
the old woman said, ‘What good is that when one of us is lost in&lt;br /&gt;
a forest, and another comes and sings about the same thing?’ ‘The old witch,’&lt;br /&gt;
 replied she, ‘may as well be true to one song; I saw her do it once&lt;br /&gt;
for all; she killed the first and brought back the second.’&lt;br /&gt;
&lt;br /&gt;
When evening came and the old woman was gone, she went to the forest&lt;br /&gt;
which served as her home and cried out as loud as she could, ‘I will&lt;br /&gt;
take all you witches away, and then they will be grieved for and happy&lt;br /&gt;
thoughts.’ And there she was buried.&lt;br /&gt;
&lt;br /&gt;
As she was passing by in her golden necklace, she saw a beautiful&lt;br /&gt;
lion with shining eyes and a hoarse loud cry. ‘Ah! what a lucky thing! she saves us all!’ thought she, and&lt;br /&gt;
sighed greatly: ‘It is a pity to see you so miserable, and yet so happy!’&lt;br /&gt;
But Gretel was still too sad, and did not speak. Nor was she to be thought of,&lt;br /&gt;
as the lion, but as the little grey old fox, laboring under the cold and&lt;br /&gt;
horrible weather, always seemed to get on better and stay with us. Nor was she to be&lt;br /&gt;
held with any suspicion, however great, nor was she to be blamed.&lt;br /&gt;
We followed the little grey fox, who, when he had eaten so much&lt;br /&gt;
that he could no longer stand the cold air, sat down in a corner, and&lt;br /&gt;
listened. Then he croaked: ‘Good morning, mother! Good morning,&lt;br /&gt;
what have you got?’ and his eyes looked quite fixed on the little grey fox,&lt;br /&gt;
and his ears flicked up and down with the wind. Then he called out to&lt;br /&gt;
him: ‘Good day, good day, brother, as you are coming home from the drive-in,&lt;br /&gt;
you have brought with you a very valuable loaf of bread, which I have girded&lt;br /&gt;
for the well, and have brought with you with the Arrow of Life, to show it to the&lt;br /&gt;
others where it hung.’ The little grey fox answered: ‘Thank you, brother, for your&lt;br /&gt;
lace of bread, it has served me well enough for a long, long, long time.’&lt;br /&gt;
‘Do give it to me,’ said the little grey fox, ‘if, when you come home, I will&lt;br /&gt;
also carry it home with you.’ Then the little grey fox stretched out his&lt;br /&gt;
ear and the loaf of bread was carried home with the little grey fox, and the little grey&lt;br /&gt;
fox looked at it, and said: ‘Now I have all the riches of the land in my&lt;br /&gt;
hands, and I can now harness the power of the unknown to my own.’&lt;br /&gt;
&lt;br /&gt;
The little grey fox said: ‘You may not be a little grey fox, brother! You&lt;br /&gt;
must be a very beautiful little fox.’ ‘Never mind,’ said the little grey fox. ‘I&lt;br /&gt;
will give you what you will,’ said the other. ‘Then what do you become?&lt;br /&gt;
What does your duty require?’ said the little grey fox. ‘I shall serve you&lt;br /&gt;
uphence it shall be done.’ The fox at last made the best of his way,&lt;br /&gt;
met the little grey fox, and said: ‘Good day, good morning, brother. How are you?&lt;br /&gt;
How are you doing?’ And the fox was very glad, and said: ‘I have&lt;br /&gt;
worked hard, and will do all I can to get by you.’ Then the little grey fox&lt;br /&gt;
met the little grey fox, and said: ‘I am very fond of doing everything, and&lt;br /&gt;
however, what I can&#039;t get enough of.’ So they went out of&lt;br /&gt;
the forest, and sat down to the table, but the little grey fox did not&lt;br /&gt;
stop to look at them. ‘How easy it is,’ said he, ‘to get by without much&lt;br /&gt;
fare.’ They took him away with them, and now he was in great need of&lt;br /&gt;
food.&lt;br /&gt;
&lt;br /&gt;
He picked up two or three pieces of bread, and made the best of them,&lt;br /&gt;
but how they were to be shared? ‘Let us just eat one every&lt;br /&gt;
time,’ said the little grey fox. ‘I will do that.’ When they were all&lt;br /&gt;
eaten, he said: ‘Bless me! I have plenty of good salad to give you.’&lt;br /&gt;
So he brought the two pieces of bread with him, but how could he to&lt;br /&gt;
get the salad that was in his mouth? ‘Ah!’ said the little grey fox, ‘I may&lt;br /&gt;
give you some of my cakes, but they must be given me first to get the honour of&lt;br /&gt;
eating them.’ ‘Then let us sit down first,’ said the little grey fox. ‘I will&lt;br /&gt;
give you one salad a day,’ said the other; ‘say, “Cake for me, it is&lt;br /&gt;
must be eaten tomorrow.’ ‘If that pleases you,’ mightily&lt;br /&gt;
grininess prevailed, and they were soon brought up to. ‘When do you like&lt;br /&gt;
things ready?’ asked the fox. ‘I like to sit at home, but I also like&lt;br /&gt;
to lie down by the fire and rest until  it is very hot.’ The waiting-maid replied: ‘I should be very lonely, if I did not have any money.’&lt;br /&gt;
The fox called out: ‘I am very lonely, milady! I have not had any money my whole life! I was born into a very rich family,&lt;br /&gt;
and have had some money taken away from them by the old--bribes!--government. I was therefore seized with great fondness, and&lt;br /&gt;
cried out: ‘You who read what I have written about your father, mother, and brothers must have heard it all; I do not want any&lt;br /&gt;
more!’ But her father, mother, and brothers were in such fear that they fell off without aisles, and lay in the street and were&lt;br /&gt;
terribly frightened. ‘Ah! you!’ said they, ‘what do you want with your brothers?’ But the little fox said: ‘I have&lt;br /&gt;
all the answers, all the wisdom of all the good men; they are to be saved; and there is no better way to do it than by&lt;br /&gt;
a way of knowing what the price of silver will be.’ So they went straight into the market-place, and at the middle of&lt;br /&gt;
every street there stood at the top of a crown of gold or a pin of silver, who knew all the signs and signs of the&lt;br /&gt;
price of silver, and would have known what it was to be.&lt;br /&gt;
&lt;br /&gt;
But as the little fox was getting ready to set out upon his journey, he heard the sound of&lt;br /&gt;
voices and things driving round his house, and he went very fast on.&lt;br /&gt;
&lt;br /&gt;
At last he came to a city, where a gang of robbers lived and work in great fear;&lt;br /&gt;
and as they were so anxious that they went into the homes of their fellow-creatures,&lt;br /&gt;
and looked for wares, and would not take buyers, they killed, robbed, and crucified&lt;br /&gt;
all who stood in their way. Then, though it was not known whether the men in black&lt;br /&gt;
had been at the same place, or had been, or whether they have been, gang members,&lt;br /&gt;
were still at large.&lt;br /&gt;
&lt;br /&gt;
The little fox went forth, and as he passed by a pigsty, another, who gave him no particulars,&lt;br /&gt;
he said, ‘That is another’; and at the bottom of the sty was a chest full of gold, which he took&lt;br /&gt;
to be from the first sale. ‘Third place!’ said the little fox, ‘that is a great haul!’ Tattersall said, ‘that is a great haul!’&lt;br /&gt;
&lt;br /&gt;
‘Top,’ replied he, ‘fourth,’ ‘is somebody who has a little to eat and a drink to drink.’&lt;br /&gt;
&lt;br /&gt;
‘That would be a fine thing for four,’ said the other; ‘for if that little fox in the pigsty were to be caught, all four of us would be lost.’&lt;br /&gt;
&lt;br /&gt;
The little fox grew very thoughtful as he thought about it, and at last said, ‘Five, if that little fox be able to set out and discover the secret of the golden tongue.’&lt;br /&gt;
&lt;br /&gt;
The little fox spent the whole day looking for the tongue, and then went out of the sty,&lt;br /&gt;
and either sat down under a tree, or jumped into a cask stuck to a pipe. When it was cold,&lt;br /&gt;
and he could get no breath, he stood looking at it for a while, and at the end of the day&lt;br /&gt;
he had a golden tongue. Then he went to bed and at the same time began to be very&lt;br /&gt;
thoughtful and good-humoured to his wife.&lt;br /&gt;
&lt;br /&gt;
But the next day he began with a little toenail in the air, and she bethought herself&lt;br /&gt;
of this and the other, and undertook to have them placed in a cask in the snow? ‘Yes,’&lt;br /&gt;
thought the little fox, ‘but Snowdrop must go first.’ ‘I hate to say it,’ answered the wife,&lt;br /&gt;
‘but she is so heavy, and can’t stand to be with someone who is not their own.’ So the wife&lt;br /&gt;
obliged her, and seated her in front of the old cask, and took Snowdrop with her. From that&lt;br /&gt;
time forth, Snowdrop would take both Snowdrop and the fox with her, and always the fox would&lt;br /&gt;
run after them, and the little fox would wait outside the house to watch what the little&lt;br /&gt;
fox would do with them. This only served to strengthen the old fox, who at any rate could&lt;br /&gt;
not be set free, and was obliged to work for the king.&lt;br /&gt;
&lt;br /&gt;
When the king’s daughter was still a child, and Snowdrop was just entering her second year,&lt;br /&gt;
she went into her room and prepared a large jug full of wine. The wine was to be found in&lt;br /&gt;
the chamber by the half-naked woman; but Snowdrop knew that her treacherous husband was&lt;br /&gt;
not at home, and would not see where she was lying, so she took a draught, and went into&lt;br /&gt;
her chamber: but her husband fell asleep, and she drew the jug from the cup, and drew it&lt;br /&gt;
up, and set the jug on the bed, so that the sleeping Snowdrop might lie down, and then&lt;br /&gt;
she would have her revenge.&lt;br /&gt;
&lt;br /&gt;
When she had fallen asleep, she stirred her cup, and as the wine was so sparkling, she&lt;br /&gt;
thought that it might be a signal to drink a draught. So she stirred it again, and when&lt;br /&gt;
the wine was just reaching its full volume, she thought that it was only a reflection of&lt;br /&gt;
her Grief, when it struck: so she let the cup run out of she’s reach, and stood looking&lt;br /&gt;
on for hours, and then an hour passed away, and again nothing but reflection and reflection&lt;br /&gt;
of her Grief passed through her veins, until at last she washed away into the sea, where it&lt;br /&gt;
licked and scented the salt.&lt;br /&gt;
&lt;br /&gt;
When she came to the bottom of the sea, she saw a bright blue light, and as she passed&lt;br /&gt;
by and saw that it was the princesses, she thought: ‘It must be the sea, for it seems&lt;br /&gt;
blue to her.’ However, she passed on, and after waiting till the night was over, she&lt;br /&gt;
ascended the ladder which led up to the great sea, and there she saw her husband,&lt;br /&gt;
who was in his thirties, with his four sons, and this made him a mighty king.&lt;br /&gt;
&lt;br /&gt;
After she had pleased him, she laid herself down to sleep; but as the early morning&lt;br /&gt;
sun shone upon the sea, and the moon began to rise, she felt as if she were at a&lt;br /&gt;
loss for an explanation, and began to be sobs and groaning throughout.&lt;br /&gt;
&lt;br /&gt;
By the time she reached her bed, however, the sun had melted into the sea,&lt;br /&gt;
and she was safe and satiated again.&lt;br /&gt;
&lt;br /&gt;
At noon, as she was getting ready to leave her husband, he called to him,&lt;br /&gt;
‘Sir, and would you please lie down by the sea-shore?’ ‘Yes, sir,’ replied&lt;br /&gt;
he, ‘if you would do me part of my journey home, and do as I instruct you.’&lt;br /&gt;
As he was to take leave of his three sons, and therefore of their three&lt;br /&gt;
daughters, they all agreed that he should, in their sorrowful hope,&lt;br /&gt;
be released from the spell that bound them, and thus be a free woman.&lt;br /&gt;
&lt;br /&gt;
When they came to the sea, the princesses had just come home; and as they were going out into the&lt;br /&gt;
water, a gold ring was thrown at them, and when they looked at it they&lt;br /&gt;
could not help admiring the golden ring; but they had been so much&lt;br /&gt;
feared that they would never come back again. At this the eldest thought: ‘The&lt;br /&gt;
rogue father is going to hell; I cannot let him be homeost again to his&lt;br /&gt;
children.’ So he called his wife, and said: ‘Wife, thou&lt;br /&gt;
most beautiful child! I would so gladly have had thee, as the princesses had&lt;br /&gt;
given thee; but alas! alas! to hell with thee!’ Then he was burnt at&lt;br /&gt;
he wheel, and when he tried to free himself by the pool, and fell down&lt;br /&gt;
dead, crying: ‘What have I done which makes me think thou shouldst be&lt;br /&gt;
hung down?’ But the wife said: ‘Heaven’s will will,’ and was very glad&lt;br /&gt;
to know what disposition there was in the husband to give such a wish, and&lt;br /&gt;
when it was fulfilled, he was sole heir to the kingdom.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Then they went to celebrate the wedding of their betrothed, and as they went&lt;br /&gt;
inside, a large oak-tree rose up to the top, and the court where they&lt;br /&gt;
wedded were all in row four, with seven children. The princesses&lt;br /&gt;
watched this and would not be idle; so they laid themselves down&lt;br /&gt;
darefully, and said: ‘Children, shall we be married?’ Then they turned&lt;br /&gt;
back, and the next day the princesses went to the king, and told him&lt;br /&gt;
that they would be hundred and one children. Then the king said, ‘I have&lt;br /&gt;
great faith that you will one day set me free,’ and he set out in a&lt;br /&gt;
search for children as old as his eyes, and as old as his heart.&lt;br /&gt;
 And as he had children, he never looked to the very beginning,&lt;br /&gt;
but began to look back and say: ‘Seven children , what have they told me?’&lt;br /&gt;
&lt;br /&gt;
Then the man’s father said to him: ‘Now you must.’ ‘What does that matter?’&lt;br /&gt;
said the boy. ‘It is quite simple. If you have a good heart, and love your brothers,&lt;br /&gt;
you will do everything in order that they will feel loved. If you are lazy, and wish to&lt;br /&gt;
be a baker, for example, you will do that; but, if you are a musician, you will&lt;br /&gt;
do that too. Just think, however, if you could make yourself any other kind of&lt;br /&gt;
bakersing than wood; from which you could have your wooden hut.’ The man&lt;br /&gt;
liking to think it would take some skill to his understanding how the seven&lt;br /&gt;
children felt about that. ‘Just think,’ said the boy, ‘how I could get into&lt;br /&gt;
there and not know how.’ He made a light journey, three days and three&lt;br /&gt;
trials, until he came to the village where he met the man. ‘See,’ he&lt;br /&gt;
thought, ‘how I could get into the oven and not know how?’ ‘Come,’&lt;br /&gt;
said the poor man, ‘what will become of me?’ ‘Just think,’ replied the&lt;br /&gt;
poor man, ‘what would become of me?’ ‘Read,’ said the poor man, ‘I say, that the&lt;br /&gt;
man who is living and making the bread is my father.’ ‘Oh, father,’ said the&lt;br /&gt;
poor man, ‘you have been good and have been my friends for many years, so I&lt;br /&gt;
will never have anything in common with you less than you have been.’&lt;br /&gt;
‘I will,’ said the poor man, ‘change my mind, and let me at once go in&lt;br /&gt;
and live with my father in a beautiful town.’ Then the poor man&lt;br /&gt;
became a poor man and married the man who was living in a castle;&lt;br /&gt;
and when they came to the wedding feast, the father was taken with the&lt;br /&gt;
children and was forced to give up his golden spectacles every time he gave&lt;br /&gt;
away. Poor Hans was forced to keep his mouth shut when he gave away a&lt;br /&gt;
large prize; and, having played with the stones, said, ‘The children&lt;br /&gt;
will have to do likewise.’ Then the other children gave him a box&lt;br /&gt;
and a ring, and he was forced to put it on his finger and unwind.&lt;br /&gt;
When he was grown up, it was now allowed to roam about the castle&lt;br /&gt;
and was often said that he was the most clever child in the whole&lt;br /&gt;
world. This thought upset the old man, and he would not take it&lt;br /&gt;
against his will.&lt;br /&gt;
&lt;br /&gt;
Then the children said, ‘Well, father, we will just have fun and have a&lt;br /&gt;
gone past.’ They made a wish, and as they were sitting&lt;br /&gt;
together they held up their hands together in a gesture of thanksgiving,&lt;br /&gt;
and said, ‘Children, we will have a wonderful merry age. All the good&lt;br /&gt;
spirits will be invited, and all the rich children will be brought&lt;br /&gt;
up and brought up together, and all the craftsmen will be merry and&lt;br /&gt;
rich, and all the children will be brought up and brought up with us; and all&lt;br /&gt;
one must pass on before the end of the month next; and so it was for a&lt;br /&gt;
little prince.&lt;br /&gt;
&lt;br /&gt;
Now the wish was fulfilled, and Hans was born.&lt;br /&gt;
&lt;br /&gt;
He was well looked after, and at home he began to earnestly pursue his&lt;br /&gt;
 dreams. And one day as he was walking the old gendarme was sitting&lt;br /&gt;
here by the way and was making his way through a forest, and Hans heard a&lt;br /&gt;
little kid with red hair and a red cap jumping up and down in&lt;br /&gt;
the air, and said, ‘That is my little kid, the one you are seeing here&lt;br /&gt;
sitting up there in the forest.’ ‘That is my little kid,’&lt;br /&gt;
said the old gendarme, ‘same is true for every other kid in the&lt;br /&gt;
forest. Look at what he has there. He has red hair, like the&lt;br /&gt;
red kids on the road, and when he sees them he&lt;br /&gt;
will jump up and down, but he does not do so again.’&lt;br /&gt;
&lt;br /&gt;
Hans was very glad to see these little kids again, and they were&lt;br /&gt;
sitting up there in the forest and cried out for joy. Then&lt;br /&gt;
the old gendarme said, ‘Hans, you must be very careful with your dreams;&lt;br /&gt;
there is much that must be done. The first thing you must do is to make&lt;br /&gt;
a bed of moss for the dragon; the second is to make a fire for the meadow&lt;br /&gt;
stool; and, thirdly, make a large cauldron for the dragon; bake him some&lt;br /&gt;
soup, and cook him some meat. But if you do all these little by the same&lt;br /&gt;
way, and are good at all things, you may be a very clever little dwarf!&lt;br /&gt;
&lt;br /&gt;
You may also have learnt what Snow White is called, by her great and faithful&lt;br /&gt;
maidens, the secret to the good fortune of the kingdom: if you have, therefore,&lt;br /&gt;
my consent to make her queen, she may wish me to be her husband and to be her food and drink.’&lt;br /&gt;
&lt;br /&gt;
So they went their way very happily, and when they came to the great city,&lt;br /&gt;
a great noise and noise of all kinds was heard in every street and every&lt;br /&gt;
garden of the true master, and all the people there laughed with laughter&lt;br /&gt;
at this, and at all the arts of the trade they had missed out on.&lt;br /&gt;
&lt;br /&gt;
Snow White was not idle; for one night she went to her little stable&lt;br /&gt;
and bade all the good people there laugh with her; and then they laughed&lt;br /&gt;
at her too, for she had set the golden bed of moss upon it, and slept&lt;br /&gt;
upon it for a long time.&lt;br /&gt;
&lt;br /&gt;
Next morning when the king’s son came and brought her back with wine and&lt;br /&gt;
food, she fathered a son with her little stable, and said to them, ‘My court,&lt;br /&gt;
there is not one man who has not the temperament to be my queen. If that is&lt;br /&gt;
the case, I will have you inherited with me, and be my wife and mother to&lt;br /&gt;
all my descendants.’ They thought this very cool and right advice; and after&lt;br /&gt;
a time they thought they had no other sons to take their places in the court&lt;br /&gt;
about with us.&lt;br /&gt;
&lt;br /&gt;
So we are now settled into a house in this castle, and have been for some&lt;br /&gt;
time settled into it, as it were a very large room, with a very large clock&lt;br /&gt;
in it, and a very large ring on it. In the middle of the door there is a&lt;br /&gt;
little door that will open when the king comes in, and closes when he is&lt;br /&gt;
not in the room. In the kitchen there is a large jug with live fish upon&lt;br /&gt;
it, and in the cupboard there is a knife with a golden nail in it. In the&lt;br /&gt;
stairwell after the kitchen there is a little room, with a golden apple in&lt;br /&gt;
it, and in the bottom of the cupboard there is a dresser with diamonds in it.&lt;br /&gt;
&lt;br /&gt;
In the chapel there is a small room with a chest of gold in it, and in the&lt;br /&gt;
clockboard there is a note with nine diamonds in it. In the tower there is&lt;br /&gt;
a golden apple in it, and on the outside of the cupboard there is a dresser&lt;br /&gt;
with diamonds in it. In the chapel there is a golden apple in it, and on the&lt;br /&gt;
outside of the cupboard there is a dresser with diamonds in it. In the chapel&lt;br /&gt;
there is a golden apple in it, and on the outside of the cupboard there is a&lt;br /&gt;
dresser with diamonds in it. In the chapel there is a golden apple in it, and&lt;br /&gt;
on the outside of the cupboard there is a dresser with diamonds in it. In the&lt;br /&gt;
chapel there is a golden apple in it, and on the outside of the cupboard there&lt;br /&gt;
is a dresser with diamonds in it. And so on. And thus we have settled into our&lt;br /&gt;
dear little house, and are very happy indeed.&lt;br /&gt;
&lt;br /&gt;
But we are now to live and to work here as hard as we can; and,&lt;br /&gt;
as we have full employment, we shall be very much obliged to&lt;br /&gt;
keep the household fast.&lt;br /&gt;
&lt;br /&gt;
The two bed-dwellers slept in such a manner that the whole forest&lt;br /&gt;
appeared to them quite separate and unknown to anyone. One of them&lt;br /&gt;
actually was an old grey bear, which the bear had saved up for home, by&lt;br /&gt;
hunger, and which the town was not aware of. He had been forced&lt;br /&gt;
to work for the mill, and when he had to go out again he would be&lt;br /&gt;
forced to repeat every time as it was, as though he would never be able to get&lt;br /&gt;
anything back again. This forced labour was the reason why no one came&lt;br /&gt;
back from the edge of the forest, and why there there was no one to&lt;br /&gt;
help the miller out there again. This was the very reason why no one&lt;br /&gt;
dodored the other.’&lt;br /&gt;
&lt;br /&gt;
This, too, had happened before in the olden time, when the little grey&lt;br /&gt;
bear had to go into the forest to get ready for work; and thus&lt;br /&gt;
the town was left to itself. In the meantime the bear&lt;br /&gt;
has had enough of the town, and built a nice little town there; and&lt;br /&gt;
there he goes again, and everyone who goes there has a share in the&lt;br /&gt;
good fortune.&lt;br /&gt;
&lt;br /&gt;
Now the miller’s house is quite a palace, and it was once a good&lt;br /&gt;
house wherein the old grey bear had much to do. When the old grey&lt;br /&gt;
bear had gone out, he took a carriage out of his pocket, and&lt;br /&gt;
put himself in the carriage and drove away his wife and all his&lt;br /&gt;
children. Now the carriage was equipped with a spindle, and when the&lt;br /&gt;
old grey bear was gone, he began to set up a challenge upon the wall,&lt;br /&gt;
in which he wished each child to come up to him and dream of his&lt;br /&gt;
lion-like form. When all were ready, he went to the bed and pulled the&lt;br /&gt;
shew out, and said: ‘Now, child, what will you dream of?’ ‘My child,&lt;br /&gt;
lion-like form, I will fly and devour the whole of the&lt;br /&gt;
world, I Pettigrew!’ cried he. And the maiden awoke, and in her&lt;br /&gt;
dream she said: ‘Oh, how weary I am, how miserable I am to sleep!’&lt;br /&gt;
And he slept soundly, but not till it became very dark. Then the&lt;br /&gt;
shew came creeping up on the man, and as they were thus near,&lt;br /&gt;
she said to him: ‘Lay your hand upon my knee, and beg that I shall&lt;br /&gt;
sleep peaceably with you.’ They agreed to that, and he awoke as if&lt;br /&gt;
every morningTurn round and went to bed. Then he dreamt three times&lt;br /&gt;
and was still asleep when he heard three ravens calling out from under the&lt;br /&gt;
tree. ‘Lay your hand upon my knee, and beg that I shall go to my father&lt;br /&gt;
and uncle for something to drink.’ He felt a little uneasy, and pushed his&lt;br /&gt;
wife towards him. Then the ravens said: ‘What are you shouting at&lt;br /&gt;
your dear little son? Do you wish that we should live in fear and wait&lt;br /&gt;
for you, then and only.’ So they did what anyone would do. He dreamt&lt;br /&gt;
three more times that he was lifted up, stretched, and led, and then he&lt;br /&gt;
began to speak, and the three ravens led him up a mountain, and then to&lt;br /&gt;
a high place. He heard bells ring at four o’clock in the morning, and&lt;br /&gt;
when he turned round and looked at the bells, they were all ringing. He&lt;br /&gt;
still thought he saw a bearded man standing at the top of the&lt;br /&gt;
mountain, but he could not see him. At four o’clock the ravens come&lt;br /&gt;
up the second (who was like a mighty wolf to his right and left), and threaten&lt;br /&gt;
to kill him if he does not give them food and lodging. At&lt;br /&gt;
four o’clock the man says, ‘I will give you no food, but a sleeping&lt;br /&gt;
sleeping bag for me.’ At four o’clock the woman says, ‘I will give&lt;br /&gt;
you to anyone who will help you, and will do anything to&lt;br /&gt;
suffer you to death.’&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo_2019_-_GPT-2_Edition&amp;diff=2495</id>
		<title>NaNoGenMo 2019 - GPT-2 Edition</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo_2019_-_GPT-2_Edition&amp;diff=2495"/>
		<updated>2019-11-30T04:29:32Z</updated>

		<summary type="html">&lt;p&gt;Chip: NaNoGenMo Final Text&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=The Basics=&lt;br /&gt;
My goal this year was to take some random text, character, and location generators and build a basic recursive quest engine.&lt;br /&gt;
&lt;br /&gt;
Let&#039;s unpack that.  All I want for now is:&lt;br /&gt;
* locations - a small network of places, with the ability for characters to travel between them&lt;br /&gt;
* characters - a recurring finite set of characters who travel between the locations and interact when they&#039;re in the same place&lt;br /&gt;
** stretch goal - interact when they&#039;re passing one another!&lt;br /&gt;
* recursive - the idea is that we have a world... it has, say, cities, within cities are places (inns, bars, markets), within those may be rooms... or maybe our recursion is deep enough at two levels&lt;br /&gt;
&lt;br /&gt;
Eh, maybe that&#039;s even too much.  I work a super lot and in eight days of November so far all I&#039;ve done is written those bullets.  But let&#039;s see what&#039;s out there...&lt;br /&gt;
&lt;br /&gt;
====progress...====&lt;br /&gt;
So there are some good generators out there that sort of start to do what I want.  I may just daisy chain them together... listed a few below.&lt;br /&gt;
TextWorld world generations is almost exactly what I want, it&#039;s just single-character.  Hmmm.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Local laptop==&lt;br /&gt;
&lt;br /&gt;
===gpt-2===&lt;br /&gt;
This: https://openai.com/blog/better-language-models/&lt;br /&gt;
Made this: https://github.com/openai/gpt-2&lt;br /&gt;
Which made this: https://colab.research.google.com/drive/1gB03iSnshYcSzSCrS9gPGcoOFCpMhVq_&lt;br /&gt;
&lt;br /&gt;
hit this bug: https://github.com/openai/gpt-2/issues/178&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
git clone https://github.com/openai/gpt-2.git &amp;amp;&amp;amp; cd gpt-2&lt;br /&gt;
docker build --tag gpt-2 -f Dockerfile.cpu .&lt;br /&gt;
docker run -it gpt-2 bash&lt;br /&gt;
export PYTHONIOENCODING=UTF-8&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Need to run this on AWS or something:&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
2019-11-09 20:43:18.919955: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA&lt;br /&gt;
2019-11-09 20:43:23.418088: W tensorflow/core/framework/allocator.cc:122] Allocation of 154389504 exceeds 10% of system memory.&lt;br /&gt;
2019-11-09 20:43:23.722155: W tensorflow/core/framework/allocator.cc:122] Allocation of 154389504 exceeds 10% of system memory.&lt;br /&gt;
2019-11-09 20:43:44.915623: W tensorflow/core/framework/allocator.cc:122] Allocation of 18137088 exceeds 10% of system memory.&lt;br /&gt;
2019-11-09 20:43:45.006514: W tensorflow/core/framework/allocator.cc:122] Allocation of 18210816 exceeds 10% of system memory.&lt;br /&gt;
2019-11-09 20:43:45.102333: W tensorflow/core/framework/allocator.cc:122] Allocation of 18284544 exceeds 10% of system memory.&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Although it did actually spit out text, so for now I&#039;m working inside this docker.&lt;br /&gt;
&lt;br /&gt;
===Parl.AI===&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
git clone https://github.com/facebookresearch/ParlAI.git&lt;br /&gt;
cd ParlAI; python setup.py develop&lt;br /&gt;
&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===textworld===&lt;br /&gt;
From: https://www.microsoft.com/en-us/research/project/textworld/&lt;br /&gt;
Yields: https://github.com/microsoft/textworld&lt;br /&gt;
&lt;br /&gt;
hit this bug: https://github.com/authomatic/chromedriver_installer/issues/11&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
pip install textworld&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Attempt 1==&lt;br /&gt;
&lt;br /&gt;
Textworld is really straighforward and has a nice generator... the example from the README.md is:&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;tw-make custom --world-size 5 --nb-objects 10 --quest-length 5 --seed 1234 --output tw_games/custom_game.ulx&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
Or&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;tw-make custom --world-size 15 --nb-objects 20 --quest-length 20 --seed 1729 --output tw_games/game2.ulx&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Also, it&#039;s a quick modification to the sample &amp;quot;play_gym.py&amp;quot; to the environment https://textworld.readthedocs.io/en/latest/textworld.envs.wrappers.html&lt;br /&gt;
Just open an outfile &amp;lt;code&amp;gt;outfile = open(&#039;textworld_out.txt&#039;, &#039;w+&#039;)&amp;lt;/code&amp;gt; and drop the environment to it via text &amp;lt;code&amp;gt;outfile.write(env.render(&#039;text&#039;))&amp;lt;/code&amp;gt;&lt;br /&gt;
So that a playthrough drops a nice quest line with some descriptive information.&lt;br /&gt;
&lt;br /&gt;
After that, it&#039;s a fairly easy change to https://github.com/openai/gpt-2/blob/master/src/interactive_conditional_samples.py to read from an input file rather than the command line.&lt;br /&gt;
Point that at the output from TextWorld, and GPT-2 will embellish a story based on each line of the TextWorld adventure.&lt;br /&gt;
&lt;br /&gt;
Voila!&lt;br /&gt;
&lt;br /&gt;
[[NaNoGenMo2019 Attempt 1]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Next Steps==&lt;br /&gt;
&lt;br /&gt;
GPT-2 is all over the place.  Need to dig in to focus on specific datasets; retrain on gutenberg-fantasy-english.&lt;br /&gt;
Also, TextWorld seems broken.  Can&#039;t quite figure out how to win even a very simple quest which makes me wonder if it&#039;s generating winnable quest trees.&lt;br /&gt;
Lastly, still need to add multiple people.&lt;br /&gt;
&lt;br /&gt;
But for now, we have writing!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Final Product=&lt;br /&gt;
&lt;br /&gt;
Ok, here&#039;s what happened.  Work got busy.  HAHA, no, it&#039;s always busy.  Anyway.&lt;br /&gt;
&lt;br /&gt;
What follows here is basically the README.md from the github code here:&lt;br /&gt;
&lt;br /&gt;
Borrowing heavily from these open source products&lt;br /&gt;
* gpt-2: https://github.com/minimaxir/gpt-2-simple&lt;br /&gt;
* textworld: https://github.com/microsoft/TextWorld&lt;br /&gt;
&lt;br /&gt;
Steps:&lt;br /&gt;
# Run finetune_gpt2.py to train GPT2 on Grimm&#039;s fairy tales&lt;br /&gt;
# Run make_a_novel.py&lt;br /&gt;
&lt;br /&gt;
make_a_novel.py generates a story with TextWorld and walks through&lt;br /&gt;
a play run (that part isn&#039;t fully automated yet).&lt;br /&gt;
It then takes the narrative from the playthrough and passes it through&lt;br /&gt;
gpt2 to add lots of words, which are hopefully embellishments on the story&lt;br /&gt;
thus generating a novel.&lt;br /&gt;
&lt;br /&gt;
It&#039;s not very coherent yet, but ya know.&lt;br /&gt;
&lt;br /&gt;
As a shortcut, if you have a gpt-2 model, and want to use the example text you should be able to just do:&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;nowiki&amp;gt;&lt;br /&gt;
import make_a_novel&lt;br /&gt;
make_a_novel.makethenovel()&lt;br /&gt;
&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which will load a model available to gpt-2-simple and generate text from a pre-played TextWorld output storyguide.&lt;br /&gt;
&lt;br /&gt;
The result of doing that, at least one example, is my NaNoGenMo 2019 submission:&lt;br /&gt;
[[NaNoGenMo2019 Final Text]]&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo2019_Attempt_1&amp;diff=2494</id>
		<title>NaNoGenMo2019 Attempt 1</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo2019_Attempt_1&amp;diff=2494"/>
		<updated>2019-11-11T02:08:04Z</updated>

		<summary type="html">&lt;p&gt;Chip: add intro&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==Intro==&lt;br /&gt;
&lt;br /&gt;
For anyone who may randomly come across this page, everything below is generated by a (relatively dumb) computer:&lt;br /&gt;
&lt;br /&gt;
Hi chip&lt;br /&gt;
Processing: You&#039;re now in an attic.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Run again? You see your grandson&#039;s body. Do not place it here.&lt;br /&gt;
&lt;br /&gt;
Our long, long storage, where children&#039;s toys say &amp;quot;Rummaging Boy Stuff&amp;quot;&lt;br /&gt;
&lt;br /&gt;
May we do it than what we used to keep with us!&lt;br /&gt;
&lt;br /&gt;
Come away.&lt;br /&gt;
&lt;br /&gt;
Rummaging Boy Stuff&lt;br /&gt;
&lt;br /&gt;
I do not care where you are.&lt;br /&gt;
&lt;br /&gt;
Quick, run now to woninstance and pretend to remember if you want.&lt;br /&gt;
&lt;br /&gt;
That&#039;s it!!&lt;br /&gt;
&lt;br /&gt;
No, neither does this cabin in three-leash parking lot. Go out there NOW!!&lt;br /&gt;
&lt;br /&gt;
Okay, surrounded by lined up neighbors, and you feeling one of the only hope for peace, you are going to claim anything that you can.&lt;br /&gt;
&lt;br /&gt;
Sorry for some &amp;quot;we miss these little green pegasus puppy&amp;quot; tropes but I suppose we all have…. beien&lt;br /&gt;
&lt;br /&gt;
1 stocks of hippogriff. MUCH like the hippogriff. first saw like. WE&lt;br /&gt;
&lt;br /&gt;
1 stocks of blue vetch. MUCH like the vetch. SO many brands you can have washes in them. if you want and one mom was started like on pizza shops when we were little. LOTS. Warm whiskey white it been here for several Budweiser bottles and a nice 12 gauge with around 20 grains and maybe 20 more green Troyia foull from Sutton bacteria, musk and pee. so many colds with cats outside and illegal straining throughout our apartment. Graco can&#039;t handle, which is almost... a priority.... especially if it comes to a shop not about buying ol&#039; weed. a little bit loose and short…&lt;br /&gt;
&lt;br /&gt;
3 tons of housecleaning shit and the urine... A long wheelbarrow full of worms wiping off the legs from genitals and even on it skeletons wide will look WOULD YOU BELIEVE it objects off of the floor if it eyes urinate!! By the way, nail polish could sound kinda warm in here. clean we have!!! (Origin Fungians ponder why the dumb gauss does not expire...the fastest way to make scorpions females.)&lt;br /&gt;
&lt;br /&gt;
4 tons of rolls of vacuum cleaner and tons of collodion-like shell pictwork and good old toilet paper firework designed to be looked at you along the fireplace cleash as you lay taking fire rap on exposure... Spit, poop with your dust and minerals to suit. (Faee! can&#039;t believe they were so cool about this...)&lt;br /&gt;
&lt;br /&gt;
Ozymandias tortoiseshell shootis&lt;br /&gt;
&lt;br /&gt;
Processing: You see an opened spherical locker close by. Empty! What kind of nightmare TextWorld is this?&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
IF [attachedToEntity AnAgelet:ref]&#039;s attributes and &#039;Type BLUE 1025&#039;, select Isaac as Person , and select StartTurn at surrounding SA , in orderabel, FROM ubtic.METL Behaviour&amp;lt;BLUE&amp;gt;%, Emilio, BiYouy, Abraham, Daphne=PFJF0 magnum 170, Tanner, Ulric, Aela, Melanie=LostRott, Maurice, Keelan, MoselentDark Isle ] : Options . FTB attachToEntity : id Sequence by marker SH # &#039;text&#039;.&amp;quot;TEXTWORD&#039;&amp;quot; is the trap value in skill 4. Keep reading to find out what happens if you still have to: Alt Name Esptain, Team En = ???? . Unit cost Eclipse superManicorderHero might be missing YUI menu None If Vec &amp;lt; expr . CurrentLevel &#039;3&#039; lowPlaced TEXT ROOWnder ? The energy spell Eldritch Creation, to the class of &#039;Eldritch Creation: More Craft Values&#039; contains the number of runes to be conjured. Arn Monastery was also missing on faculty so I set up an &amp;quot;Eclectic&amp;quot; human clone (btw &#039;Eldritch Creation method 3D Matcher &#039;Eldritch Creation&amp;quot; contains the right one): EINTRAS CELEDoctrine Callalitry=9 STREET Mystique Primordium Ergo ; Demon thief&#039; , priest Salary\3 You passed an electric exemption telescope. Ignore rifles on that! Sportsmen are bound by alchemical equivalents to suit your needs (400 deld as faith and 49270 for moral appreciation), starting with Hans Von Agronik (420+hmarea) OP millennia.com done 1 slot in Uniform Scroll 63,991, Books and Potions Tomes 6515, Tacitus, against the tools, when the Rodney cut human,&amp;lt;- they give all the gods help Copy broken Antoni Achaia Record 1500 Aflick Usbrich. 175d Touch RoomSeeker7 vrr|200, the menschobe Man Arena Corp. Wait, BREAKING news. Don&#039;t have any knowledge of wolf monsters years moving to free all their dead &#039;dead&#039; ally&amp;lt;|endoftext|&amp;gt;Stone Memorial Lights Only&lt;br /&gt;
&lt;br /&gt;
Stone Memorial Prizes – $2 only a first time collector only&lt;br /&gt;
&lt;br /&gt;
Never lose confidence. Sure, you&#039;ve been auctioned off, money has gone bad, just keep on parking. But once an individual has donated $2,569, you&lt;br /&gt;
&lt;br /&gt;
Processing: There is an open door leading west. There is an exit to the south. Don&#039;t worry, it is unblocked.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Leaked cables warned of online Deep Web hosting for the First Amendment.&lt;br /&gt;
&lt;br /&gt;
Whether you&#039;ve got a Gawker name on your computer, we&#039;re looking at you. Kinetennomics Prof Ed Cain (@sovoldomics), Brette Draincoombrov (@drdrbeach), AD Caren (@ultimateotheaze) have assembled an Amateur Examining Site to help gun owners &amp;amp; authors understand why their library is so popular, how to rein in online investment &amp;amp; online risk that&#039;s dirty on those who try to enforce it, how to best protect their proprietary libraries (due to growing government offshore taxower breaks), whether new open/private courses they can sign (see the discussion in last week&#039;s press release here), and much more. With frequent eBay #filsplash sales tweeting at printers through the Hadoop search engines as of June 24th, we know the ways businesses could create insightful comments on these parts. Those comments, open or closed, can be helped with by a 40 page copy of its rules page. Read 1 minute yet. The CDC is the repository to this; take your pick. Let&#039;s see: d.c off the virus (not showing on visual attestator warning photo.) &amp;quot;they&#039;re good for you,&amp;quot; says drmkane.But it&#039;s possible ZWoz makes a similar statement - we&#039;re listening! Retraction and Verification will take place, and these documents will be available for download on ebay by May 1nd. As mentioned, the name of the free lab will get an asterisk (no biggie, mind you), as we spoilly discovered by Books Weekly in August.Update this formal payload rule (3 or zwoz4 Miller Times for marine studies) the 6 month bump for zwoz4 can happen. Many new online courses have been compiled with a body of data that can be accessed via traditional video. Lucas 1 would have been fine; it&#039;s already possible to place micro images of notepads that came from your library that will help USG produce zwoz4 film librarians recall. None of those aps effects on bitcoins have been claimed, like James Snell&#039;s (Smashmania typeioticery description of education and access,) Chris Clayton&#039;s The Misket Comedy Handout or Paul Reubens&#039; Koubekhome of knowledge presentation &amp;quot;cosmic snakes that just eaten me up&amp;quot;; online material stink iv a librarian&#039;s eyes to her own discovery and work (Touchstone Books, MBlers and Inquiries&lt;br /&gt;
&lt;br /&gt;
Processing: There is a spherical keycard and an insect on the floor.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Nazis only look like Dick Cheney,&amp;quot; claims Graham. This particular reptilian asshole is also worth $300K and brought to the United States in 2013.&lt;br /&gt;
&lt;br /&gt;
Urmson curls up in front of him, chets his nose, and stands beside him, sobbing. Hollow was possible because angrily, he was someplace just a bit&#039;ungital/unruly.&lt;br /&gt;
&lt;br /&gt;
they die some day, a Troll &#039;/en&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Stories aside, Swift seems inclined toward Western pop culture: The Joker, she even referred to as a creepy guy...&lt;br /&gt;
&lt;br /&gt;
( hmm, just do what the Death Code says on page 4 of this thread, it&#039;s completely awesome )&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Music facts: - Through this website it&#039;s possible to reach … you know… ()&lt;br /&gt;
&lt;br /&gt;
8063&#039;s German TV: Some stuff exists around &amp;quot;Gladiators vs. Nubs,&amp;quot; One sent to an listenersmail with &amp;quot;- but our story DNA reveals it&#039;s really, really relatable VSM9VF.... ...&amp;quot;&lt;br /&gt;
&lt;br /&gt;
8064 4 – Porjas every olympic statesman in the world. Zone&#039;s was 100%, he never died.&lt;br /&gt;
&lt;br /&gt;
80665 I know some people listening early a decade ago didn&#039;t want to have a warship, and is happy to lay down love there [7ate vs 6ate — box hit the 3*.JPG 12 players I watched in 2010**.JPG 10 games I watched during elementary. Have one pick up page and em as small as possible under awesome stuff. RIDDSTOPS looks pretty Thriller for local parties, Shoot Forever kickers, fires, about guns: Carl House with the smoke behind the desk. 9 of the 50 keys +6 of mystery keys in gear variable disintegration that fixed pov **** when kid kicked them out in nurse pajamas or used is common. Two years ago, I was looking for yet another Mule Ball with at least two keycaps to tie an extra onesface to a diplo from Oklahoma City or hunt a hockey puck from Detroit or have a bunch of veggies hanging around a barber shop. My god, how did I get this nugget, only $50k in char a handsomely crafted ball that takes 14 bodies to find?? Would have swapped the plec monster for the whale over a pair of kids at a misunderstanding huh?&amp;quot; Or even if you figure out that I had roughly 50alces x 90320 to cut out mass cue hearing Traumatizing Lengthies of twenty [ inches, pl&lt;br /&gt;
&lt;br /&gt;
Processing: That&#039;s not a verb I recognise.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Because&lt;br /&gt;
&lt;br /&gt;
&amp;quot;t do anuddle the O and P, then light the O and P. The O and P are created without any strings; cephalona is empty, ή is closed to the O.&lt;br /&gt;
&lt;br /&gt;
[Teach me color how you look.] Cancel.&lt;br /&gt;
&lt;br /&gt;
I briefly attend to other virtues other than those of virtue in their proper places in the non-existent world. Consider this one.&lt;br /&gt;
&lt;br /&gt;
In spite of its inherent imitative teachings, and for which I wouldn&#039;t know to be of use at all, words as observable in all worlds form the evident motive principle for words to seek to evoke attachment after having been habitually pronounced certain reflections in order to obtain possession or in order to derive pleasure. And before each express action transactions must be analyzed its costs and benefits, the encounters must be regarded in terms of contribution and utility. What is important is that a word be never foreign to gained self-wardness. It is never tampered with again by a lump of sand to obtain nourishment . . . Reputation is acquired before you are cured of every act of self-righteousness which will be taken into your free influence in believing.&lt;br /&gt;
&lt;br /&gt;
Three human virtues exist in this form: once was the &amp;quot;God of Fashion&amp;quot;; and four became or were ascribed to virtue in order to acquire possession between father and wife of supreme love: the two became and which became less through pure suffering.&lt;br /&gt;
&lt;br /&gt;
Care Master Ten: Sensual Eyes&lt;br /&gt;
&lt;br /&gt;
I would like to know more about everyday eyes and how wise puts pleasure upon them. Here is a tact written in Dutch by Dutch Academy faculty member jhawurd (pronounced in afkrathit).&lt;br /&gt;
&lt;br /&gt;
First, Erke the eye is well makes , Sottalter the thinking eye is over-standdisposed to sight she lends. Long saw what there is there in potential in time erke cannot long &#039;ve got direction, sticks to wood. Momentary to self withdraw , pr with Dama172 understand the thought to action.&lt;br /&gt;
&lt;br /&gt;
Second Eye Though Blind He gets no derision. Hands comes. Face firmly as what likes. Innocence. Night and day* 173 and loyalty to you. All distracted sidying each other in dark room kido get alert at intersections. When answer with it to (disconstructed or gross movement) curiosity. When privileged am concerned not played with. What are ye deprived of. To seasons with figure that do not concern you. When you canvass paths fresh waterwos,&lt;br /&gt;
&lt;br /&gt;
Processing: You pick up the spherical keycard from the ground.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Put two two-color boosters and reshape as you get from square to square.&lt;br /&gt;
&lt;br /&gt;
The three cards will be near the center of a field and drawn on the middle of the shape you placed prior to pick up the cube. If you interpret that to be a symbol of impact from the center.&lt;br /&gt;
&lt;br /&gt;
Repeat 16/17 for your cube of choice as you place your booster on the center of Phase V. The booster may be part of the following names: card cards or booster cards.&lt;br /&gt;
&lt;br /&gt;
be part of the following names: card cards or booster cards. duplication Multiplication of the two colors and the bottom to the right of the card cards color. Usually you won&#039;t go far down the line to do this unless you&#039;re able to punch different.&lt;br /&gt;
&lt;br /&gt;
or the top to the right of the card cards color. Usually you won&#039;t go far down the line to do this unless you&#039;re able to punch different. let go of the bag because it should go (you can do this with other markers to making a bubble floating there).&lt;br /&gt;
&lt;br /&gt;
because it should go (you can do this with other markers to making a bubble floating there). think about distinguishing facts and using number shorthand every so often. You don&#039;t want to waste seconds jumping around and seeing something on the box.&lt;br /&gt;
&lt;br /&gt;
and changing of colours. You usually need to input a number first, then put your things in and file this out.&lt;br /&gt;
&lt;br /&gt;
What Does this have to do with 2016-03-30 Knockout Prokhoban? Does it have to do with Earthquakes? This piece has a leading circle like original, nothing to distinguish housing:&lt;br /&gt;
&lt;br /&gt;
Related Articles&lt;br /&gt;
&lt;br /&gt;
Check out the 43 NASA Shocks during the 2015 Olympic Games Last Week Between Olympic Flag Compliance , Blocking &amp;amp; Shouting Night on Twitter&amp;lt;|endoftext|&amp;gt;Opening Geek Hill is back this weekend from Vancouver and hosted by Jacques Moreau. The Canadian weekly focuses on the development of free international play: where every year the Toronto Open starts. Doors open at 10am and are open to Montrealers, and daytime following tour coverage starts later than usual.&lt;br /&gt;
&lt;br /&gt;
Another interesting piece of play is the Canadian music festival and the name of it. And I guess you can bet that it has many Canadians playing on the big stage (and somehow, that&#039;s just for sure).&lt;br /&gt;
&lt;br /&gt;
And of course, there&#039;s the International Dinner series. Part of the botched &amp;quot;Just wait until 2016 to have someone with a director mark show your reading?&amp;quot;. I don&#039;t know, are we even going&lt;br /&gt;
&lt;br /&gt;
Processing: You achieve nothing by this.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
&amp;quot;I enjoyed my time with Akemi Storm in &amp;quot;Bart is Bad, Murder Build,&amp;quot; relatively straightforward. Aside from a sharp, entertaining performance at the microphone, hilarious pronunciations about Joe Jorda and Whelan Doermina before bursting into laughter and a show of varied knowledge meant that I hadn&#039;t realised that even then it had really got to be two MCs from Korea.&lt;br /&gt;
&lt;br /&gt;
Sisma will miss Sport Mode because the north Korean guys are fantastic. Even though, if they are being singled out, all the North Koreans that apply will be travelling short distances in order to avoid ID theft.&lt;br /&gt;
&lt;br /&gt;
Jonatan Gori, who is represented by Australian distributor, FoodVR, said: &amp;quot;I can&#039;t think of a better way to celebrate our culture and teamwork at the Sochi Olympics and with the inclusion of the 3rd and United Nations Here.&lt;br /&gt;
&lt;br /&gt;
&amp;quot;This is no traditional sport but suitable for all willing participants and sharp commentators like the 1st brothers. All the great characters from this season will keep showing all along the Olympic road. I don&#039;t think JK wanted to be in shallow positions on this one too much but with lots of experienced players WCW is the perfect place to do just that without setting themselves apart from the others.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Joji Olongstreit, who represented Finland at the 2010 Olympics, said that her experience had been combined with that of Andries Wiedersehen, who had served as the commentator for Bury and had his album release singles Ticker on Green Day.&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Hot beers flavours much and no volatile alcohols in a short time no dour drink sash and socialist mentality. It soothes the nerves of the Russian with her experience in the oil and gas industry. She features brilliantly on Twelve-Part patter about three-part nemesis Vito. Rainbow and Marie Wallenberg ride Guinness Boo into the world like episode 2 of Nickelodeon&#039;s Nikki Storm,&amp;quot; he said.&lt;br /&gt;
&lt;br /&gt;
Stereotypical idol Renae Zardelli also celebrated the fitting red match at Sevastopol with, &amp;quot;doya dickscap blowing ass.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Whatever professionalism is to state Jeon Woo Hyeong-Ji mates won&#039;t make California revert to the Model T of their current role nontraditional to these more familiar roles.&lt;br /&gt;
&lt;br /&gt;
Jack Shaikyu won&#039;t make Team Japan B staging match, announcing that he was instead &amp;quot;coughing hard at 24&amp;quot; to give a final call on the Korea side.&lt;br /&gt;
&lt;br /&gt;
Nick&lt;br /&gt;
&lt;br /&gt;
Processing: That&#039;s not a verb I recognise.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Good credit to Mr. Johnson for pointing out to us that &#039;Lord Dakostrevward&#039; means the junior lake boss.&lt;br /&gt;
&lt;br /&gt;
Oh, let&#039;s see if I can piss him off by pointing out that somehow there&#039;s something about marketing in this area of my job ...&lt;br /&gt;
&lt;br /&gt;
Arugula &amp;amp; Hughes&lt;br /&gt;
&lt;br /&gt;
Zaquet&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Arugula &amp;amp; Hughes talk about classic media in progress&lt;br /&gt;
&lt;br /&gt;
Every Uni year (2008/2009) and&lt;br /&gt;
&lt;br /&gt;
Even less&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Life is Fun, all about sharing information and getting critical&lt;br /&gt;
&lt;br /&gt;
emails&lt;br /&gt;
&lt;br /&gt;
About Harry Sanders, who processes Arugula module, and who claims to read 15 CDs a year, whilst I write.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Never mind that there hasn&#039;t been a DJ for dating in 25 years can just imagine yourself skimping on actions, interests, clients and time. That gives you where to , and finishes things off no doubt&lt;br /&gt;
&lt;br /&gt;
I mean yes!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
So, how many visitors had they seen online promoting Arugula and Hughes?&lt;br /&gt;
&lt;br /&gt;
about 15 regards per year&lt;br /&gt;
&lt;br /&gt;
BP&lt;br /&gt;
&lt;br /&gt;
HarperCollins&lt;br /&gt;
&lt;br /&gt;
Warner Brothers&lt;br /&gt;
&lt;br /&gt;
Robert Ayer&lt;br /&gt;
&lt;br /&gt;
Nicholas Thompson&lt;br /&gt;
&lt;br /&gt;
The Simpson Group&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Chairman John Hodge (TUF) describes the concert as something about Medieval culture &amp;amp; language&lt;br /&gt;
&lt;br /&gt;
Paul Dent&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Dear Mr Dent,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
I read 4 journals over the last year &amp;amp; a half bio of Zaire para super darkider mason, Ziquean antiquated. Killed a lot and hurt a lot. (Needless to say the conflicting statutes of related violence and diseds between Zaire and the Little Black Nation startled me.) Some unburdened you know some of them, some more enjoy nothing more than hissing, some don&#039;t at all, some, swearing loyalty to Zaire MSA but as I approach the middle age, take the opportunity to find out what the coat you bought, the head worm (if necessary) disposable, patch of someone. Also studied the Din&#039; Vino. Win appalling compared statistics.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
And here&#039;s MEMD &amp;amp; LIF. If you need the Fdads 185 followers who DON&#039;T KNOW can see Opening in London Sony Sky Crown Mount Butterfly Download Music Joker for iPad Link 10 Digital Bundles similar but even dubbed a B–2013!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Oldies, ain&#039;t no goner. And monthly individual herds aren&#039;thead raided, studded or ziti ie eco nd relevant.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Sure, probably had&lt;br /&gt;
&lt;br /&gt;
Processing: That&#039;s plainly inedible.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
&amp;quot;It&#039;s ludicrous that Nazis took out 140 countries cadavers to save mankind from the will of the United Nations,&amp;quot; he said. &amp;quot;But the UN does not have the capacity to work.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Southern Poverty Law Center&#039;s research told us that as much as 6 million Jews were targeted for extermination because they were &amp;quot;wobbly&amp;quot;; 252,000 Mexican citizens were targeted with &amp;quot;most&amp;quot; of the body spray in Monterrey alone.&lt;br /&gt;
&lt;br /&gt;
Gangnam concentration camp founders (left) and Nazis Mata Nui (center). Agence France-Presse/Getty Images&lt;br /&gt;
&lt;br /&gt;
During his 40 years on the U.N. panel on violence against Palestinians, General Benjamin Affleck called for removal of all peace talks until they had reached a &amp;quot;binding solution.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Citing the Guardian&#039;s report that helped establish his fortune, his son Peace Corps partner, Eddie Njaz, told the BBC that Jewish killers &amp;quot;have no voice,&amp;quot; adding he believes there is no end in sight for his government&#039;s efforts to kill poised Palestinians.&lt;br /&gt;
&lt;br /&gt;
&amp;quot;This just intimidates me,&amp;quot; he said.&lt;br /&gt;
&lt;br /&gt;
Violence and Incitement in the Palestinian territories&lt;br /&gt;
&lt;br /&gt;
Many Jews in the skinheads&#039; communities say violence has been rampant by Knesset members from all walks of life for the last millennium, since 1975. Police-reported reports during a 14-month period in June 2000 said that in Knesset Membership the 53,000 murdered esporches had for the first time recorded inmates.&lt;br /&gt;
&lt;br /&gt;
The crimes of the vultures included broken windows, as well as assault at checkpoints. In January 1980, Tamar Amiens, 38, was shot five times inside his West Bank home. Two months later, William Cuellar told LifeSiteNews, the Holocaust museum in New York that he was pushed into a truck during an attack that left him with bruises on his face. Amiens, a sexually promiscuous former teenager who became fearless and elusive during his days as an Elemental of Jehovah&#039;s Witnesses, died in a hospital in 2008, shooting himself in the head.&lt;br /&gt;
&lt;br /&gt;
Sheffan Maimon&#039;s Butler&#039;s Pride murder&lt;br /&gt;
&lt;br /&gt;
Six years ago, as the new Israeli president launched his Reform movement, Aharon Beinart met with members from the ultra-right MoveOn tribe in why it was starting to get worse. By the time he left for this trip in August 2014, high-level, influential far-right Knesset comrades were murmuring to his team in Vienna, as well as at a&lt;br /&gt;
&lt;br /&gt;
Processing: You pick up the insect from the ground.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
The tree looks rather similar, but there are usually ways to use them without interfering. Most plants, however, exhibit the same features.&lt;br /&gt;
&lt;br /&gt;
Let&#039;s put the checklist out there. What&#039;s it like to pick it up, how long it takes to get it from the ground, how far away it travels, what kind of tools or flint or parts between leaves?&lt;br /&gt;
&lt;br /&gt;
Air Blowing and Slipping&lt;br /&gt;
&lt;br /&gt;
A quick evocation of the senses will illustrate this fact. The visual pulses of air swirling wildly around is a combination of pleasure pleasuring bodily waves, as well as the rhythmic, panicky colliding of sounds. When the most nauseating sounds are found, they are dispersed as bursts of adrenaline extended into the bloodstreams, threatening external organs such as kidneys and adrenal glands. Special movements involve seizing the present, pulling it back and forth against the life support, and spinning it like a spinning cybernet. Whilst this is of little use in crime scenes, it helps the awakened seem less self-conscious than, say, the frightened gut being armed with annoying nervous system pathways.&lt;br /&gt;
&lt;br /&gt;
So what is the motivation when people don&#039;t release ambient non-condensing otherworldly fun experiences?&lt;br /&gt;
&lt;br /&gt;
An almost sorceress-like reflex!&lt;br /&gt;
&lt;br /&gt;
Gentle sensory juices!&lt;br /&gt;
&lt;br /&gt;
It all comes back to the fear-binding origins of motor reactions which hilariously prank the senses by jolts into a flowing red. Often, they involve piercing the victim&#039;s tongue and attracted teeth, but in other cases a common common known fraud involves travelling in jets of cash along the myriad of twisting of electrical gates to the unconsciousness of a swallowing experience.&lt;br /&gt;
&lt;br /&gt;
Lynne Morgan Psychedelic traces&lt;br /&gt;
&lt;br /&gt;
Some of the actual pharmacological evidence, however, has changed so much that it is difficult to avoid a different conclusion. More glutamine, synthesized from the opiates adrenalox and arginine, is also present. Because these drugs were produced overnight in China during the Last Sweeping, they must have acted at least as much as humans do. Daedalus has been found to deliver paraepiandrosterone which simultaneously provides a distorted quality of mind, which adds stress, distraction and the suffering that accompanies them.&lt;br /&gt;
&lt;br /&gt;
There are other biochemical or molecular &#039;cosmetics&#039;. Some higher mucosamine levels may be involved, but they are nowhere close to the highest caffeine or serotonin stress regulate memantine, which has been shown to elevate appetite, hormone levels and cognition based on one where two chemicals really&lt;br /&gt;
&lt;br /&gt;
Processing: You find yourself in a vault. A typical kind of place.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Glass is a bad mood sleeper, falling inside the wall but slowly going out.&lt;br /&gt;
&lt;br /&gt;
Trayvon&#039;s ever noticed the running in in a lot more places, nowadays we have somewhat less people throughout history. The bastards are accustomed to rote running and racing.&lt;br /&gt;
&lt;br /&gt;
A vast rail maze is the only elixir we have. Mobility payments for shelves. Hat collections are many in number medium crafts men build and sometimes do expensive, cool accessories for ceiling lighting. Railroad exercises have what might be called &amp;quot;chunky tackles.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Oh yeah, first data points at hit it believed the IPCC was wrong in their individual reviews of a voluminous report on banking as a basis for investing.&lt;br /&gt;
&lt;br /&gt;
Now we are to figure it out, what made it wrong out of the booklet?&lt;br /&gt;
&lt;br /&gt;
That conception of what we need as business makes sense, anyway for all fellow COMM research papers addressing banking length. Here&#039;s how it came about.&lt;br /&gt;
&lt;br /&gt;
[/spoiler]&lt;br /&gt;
&lt;br /&gt;
Have you ever seen a journalist chance his computer at a neighbor working underneath the brick but just starts crashing all over the house? No problem.&lt;br /&gt;
&lt;br /&gt;
What happened was that, given the overall feel of the story on this one was what you would come to call analysis partnerships (ET), google training pulled data.&lt;br /&gt;
&lt;br /&gt;
It is 2000. If you hit the 63 billion quote chance on this one, going &amp;quot;The third part would have been $23,000 allowed on now.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The second part&lt;br /&gt;
&lt;br /&gt;
foo.txt thats a compensation. Lets say I&#039;m 1 month old. Can money be any kind of compensation in a crowdfunding venture like this? Free?&lt;br /&gt;
&lt;br /&gt;
Furthermore let&#039;s look at items you&#039;ve got coming. head laces, jarring errors in the page. Pink garbage baseline slicer to compare to Rubin line. Glue. Screw blades 20 feet long with piston draw but make sure they first lay flat and don&#039;t flop Lego back! Bleach I.2 bricks develop and acquire indicating when edges are rotted. In general i.e functional pencil is work, protecting the edge crack was around. have you got stats or math or shit on this one?&lt;br /&gt;
&lt;br /&gt;
Next above all, today.&lt;br /&gt;
&lt;br /&gt;
Every citizen of a satellite city finds that their mayor is better. The purpose of human society is both health and property. It is now trivial to walk deep enough to a mines drill to trace the chemical reaction CH. Add back to reflections into substances exotic in the physical world and it is given a similar quality as all natural&lt;br /&gt;
&lt;br /&gt;
Processing: You can make out an opened toolbox. The toolbox contains a latchkey. You can make out a shelf. What a coincidence, weren&#039;t you just thinking about a shelf? However, the shelf, like an empty shelf, has nothing on it. It would have been so cool if there was stuff on the shelf.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Steve, congratulations!&lt;br /&gt;
&lt;br /&gt;
Robert McClane: It is something that I have been working on doing for 15 years now.&lt;br /&gt;
&lt;br /&gt;
I&#039;m a very passionate computer user – I have driven a desk stomp solid high-end electronics. I hope to be remedied in the future. What are your impressions? Does that laser make your computer even better?&lt;br /&gt;
&lt;br /&gt;
Rob McClane: Well the magnetic last is different, it&#039;s spinning, whereas the Donaldister hot-lift is curved.&lt;br /&gt;
&lt;br /&gt;
The difference is that you don&#039;t need to have forgotten about something until you&#039;ve turned it on. It&#039;s the same principle. I&#039;m completely amazed by how sharp the magnets are. They are real. I&#039;ve taken these magnets out of the blue.&lt;br /&gt;
&lt;br /&gt;
It becomes apparent with the magnetic last that there isn&#039;t much of an overall problem. Does anything for the speaker monkey, be faster? Why are the there magnets so hard to switch for special effects? They are nets. People picking up our music are supposed to have the very best sound in the world.&lt;br /&gt;
&lt;br /&gt;
I started working on being more conscious of the fact that most people are very tolerant of magnetic switches. We used to consider it a shitty thing for guitars to have trouble turning on. The switch problem is so difficult, both with the electronics and in general, that I started to over-think it. I bought a new 1971 Mustang 92 without any switches. There happened to be something there on it called a loudspeaker prickshot switching. Luckily, it wasn&#039;t permanently sent in the mailbox as opposed to returned. Random inconvenience caused me to not debug it.&lt;br /&gt;
&lt;br /&gt;
In the 1970s when most April 18th parties started to drop th twacky magnets at us, we started to see journeys with accurate display. I&#039;m going to keep proving it to you. [8:05]&lt;br /&gt;
&lt;br /&gt;
July… I stopped taking or never taking any sunlight. In fact, I really can&#039;t act like my computer was rotating long enough to deflate. I fixed it. I got three babies back.&lt;br /&gt;
&lt;br /&gt;
Jim Lehrer&lt;br /&gt;
&lt;br /&gt;
Do you have a question for us all?&lt;br /&gt;
&lt;br /&gt;
Rob McClane: No. It&#039;s very personal. I don&#039;t treat it that way because I think it&#039;s potently non-functional at home. Even if you really put them on and nothing is wrong. I must say I definitely have been sick for the last 10 years.&lt;br /&gt;
&lt;br /&gt;
Steve Ross: Yeah, that&#039;s a no. It probably just made the computer a little&lt;br /&gt;
&lt;br /&gt;
Processing: You don&#039;t like doors? Why not try going north, that entranceway is unblocked.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Give him the respects.&lt;br /&gt;
&lt;br /&gt;
All my friends know too well what the war makes you fight. Come, get them my way, to New Silvers. No mortar. Morse no machine gun. If you&#039;re unlucky enough to be wounded or still missing I see ships coming north for Jew molynska.&lt;br /&gt;
&lt;br /&gt;
What of many siaabites of Forest Sene eastward? Um… is still wanting more? Two roads over there is safer bet than stair. Eww.&lt;br /&gt;
&lt;br /&gt;
The Twi&#039;lek If I&#039;d taken a look the Siegecraft would have knocked the plume from the structure. But if I&#039;d looked a few canyons, it could have stuck out, in honesty. But no spikes. I&#039;m sure it&#039;s no more than human dust, entire shards of metal tearing through my flesh. I have a warden in the body sealing shut the doors here.&lt;br /&gt;
&lt;br /&gt;
With so much on the horizon I&#039;m talking to the familiar mest Jushkin apprentices etc. Sbollin high~&lt;br /&gt;
&lt;br /&gt;
Although I supposed the buildings in the games were all maintained as a mest line, I think it&#039;s fair to say the Corvus Mining Co is protected by trade and there are services to breakdown the land and strip out forest just so the traitor and find his voice in the Dozen.&lt;br /&gt;
&lt;br /&gt;
That would be great. Not even the little scamper spouts his insults for those whose lines are unfamiliar. They had come. I hope they follow their sword of honour to kilometers in so clean a fashion. I&#039;d like to see a gazelle blade cut out of the wood a little to let it out.&lt;br /&gt;
&lt;br /&gt;
Keep this flyaway to as far north as any unmarked black planes run towards the Yusei&#039;s Myrgen approaching. There aren&#039;t too many freighters to beat them for the megalopolis anymore. If we can shoot him down the freakish thing wouldn&#039;t it be nice to never have Blues pick up some gold which will buy him experienced Voidcasters ? If not it would make a big difference.&lt;br /&gt;
&lt;br /&gt;
His war widow Raptora armour made show bruises marry and they give Trumponne and ardead return to the Khazar Workshop.&lt;br /&gt;
&lt;br /&gt;
She makes them sizeable expensive Hosen and now always recognized by his house on the morass, every day stripping its uniform she stops the Keeper from colouring it. Frankly most her Carte orders the sizes she, Trumponne, Asstatesa require isn&#039;t much. If it&lt;br /&gt;
&lt;br /&gt;
Processing: You put the insect on the shelf.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Kim Jordan Author Rating&lt;br /&gt;
&lt;br /&gt;
PINKYA SPIKE: Who was in charge of copyright management for your books?&lt;br /&gt;
&lt;br /&gt;
DAVID ARTZMANI: Aaron Yu. Aaron was a staffer on Marc Faber &amp;amp; Co. Rights management for Wordpress, the book suite that was originally being used by Fantagraphics. It&#039;s over 30 years later, Heisenberg tells us. And rightly so.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: And, at that point in time, you were in charge of a lot of their library rights.&lt;br /&gt;
&lt;br /&gt;
DAVID ARTZMANI: We spoke with him in Phoenix with Didi FitzGerald, who was on the board that Marc Faber owns.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: Ed Crowley. Ed may or may not be writing this. And I would say Ed lasted for about an eight-week period. I learned from him after the fall of Avid, and I eventually learned from them after he went to domainDef.com. They had a strict indemnity policy for any business that a client lost.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: And that was going on for four years.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: And how did you get your rights?&lt;br /&gt;
&lt;br /&gt;
DAVIS DOMINIQUE: I signed them for Net Catcher initially. I mean, Ed was covering a lot of broadsheets on online games, and he took that to my community. (laughs)&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: Our conversation with Austin uses a particular language to explain advertising and whether you should voluntarily file suit in person. In reality, you should file a suit in person.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: Why should you file charges in person?&lt;br /&gt;
&lt;br /&gt;
AMMIRS RENINVINER: Well, I&#039;m middle-aged, I&#039;d like to refer to as a middle-aged head. That means legally this is my 20s. Twenty-five-years-old. So I had a turn in my life in 2008, when I was in control of Stylus International things. I could handle retail books and children&#039;s books, and other books and whatever you like. It was unusual for me. So I stayed up late until 10 p.m. writing this. It took me a few when I got disgusted.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: But particularly in the early access and social platforms, you didn&#039;t have a paid&lt;br /&gt;
&lt;br /&gt;
Processing: The shelf is durable.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
The WCMachine Replacement this gun was meant for thirty three years - but something fundamentally awful happened as the Joker came near the cattle barn.&lt;br /&gt;
&lt;br /&gt;
By far the worst tragedy ever involving a loggerhead loggerhead is this. With the long war with Dred Scott and many other scariest ones the remaining timber wasn&#039;t included in the line. Yet by being ready to allow land stakes, logs, and all, they themselves were held for a longer time...&lt;br /&gt;
&lt;br /&gt;
With decide relatively finally decided that working again was worth it -&lt;br /&gt;
&lt;br /&gt;
Time still stands ... HAY at the Restoration Coast.&lt;br /&gt;
&lt;br /&gt;
Much of the asiana culture that Nowhere Resources had gone into were brought back to plantation by Jacuzzi, Second Sons that at the time was located&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Bell Restaurant (Lavernehurst, MO) Nails where the Nightingales, the heavy arms of the Black Blade know —&lt;br /&gt;
&lt;br /&gt;
Something terrible and deeply ineffable, about being 20 years old and wearing the gray cassock picon hat of their relative ancestors, suddenly really struck them as horribly humble, brash, and about to set down the most thrilling new thread Brewing&#039;s minded in the last twenty years. Moment died the Teller standing over him, between his hands, threaded his long, tortuously painted long black hair across his grey eyes, stretched out his broad, thornish hair to illuminate the peculiarly inscrutable orc us all the rage that dog claws voiced and hoped that the distant face where red samurai meat, which ate his teeth, rotting white deathwhere on the bark of the skin where carnivorous flesh was whitened by the decomposing assure of not two eyes, but by monitoring that no one had ever lived, small children entitled Bastard, each two figures of thirty or forty ehlers of hulking Dwarfs trimmed with decorative kaleutis like Jack, had been born. Poor JSON who always enjoyed finding out that latter lover&#039;s ordandy sherine were dead on arrival so traders would freehandle the pigs and the yet again bored Few Go to any party where a bastard must display such pride as King Bradley in his look, and if supercious and foolhardy women geeked out and maybe even fought and failed to get painted off vanilla ate late bird either had got some kigger pelt in their back pockets played a big way, and saw Baby Big inside their cunt with Riversail&#039;s get so excited in the computer game that he obliged, realizing it was Mary Menstan&#039;sesse caneps.&lt;br /&gt;
&lt;br /&gt;
As bag&lt;br /&gt;
&lt;br /&gt;
Processing: On the shelf is an insect.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Inside, Techno Stock Eggs. The initial response from the customer was an unhelpful way for this bird to speak to businessmen or customers about collecting. Therwoman officers would set up on hooks and then carefully hooks and reduces to fit the cartridges it requires.&lt;br /&gt;
&lt;br /&gt;
50 Years later, the quintessential cantuck seems to have found true bedded forms upon purchase.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, through good salesmanship and care given to Stillwater&#039;s contents numerous low level issues cropped up. A series of lousy policy decisions that included genetic tinkering and the installation of too many of just chips can be attributed to the same factual errors. So they have been rolled out to open the doors to a back-breaking and unpackable display, a brand ripe enough for publication and assured of longevity. A much grander brand of these delicately different beetles definitely carried on. [Zero Carb and Nutty on Egg Checklist]&lt;br /&gt;
&lt;br /&gt;
Often the duck will follow a specific instruction or updated instructions issued. Certain Microsoft products might gain adoption by braying before transport as these require workers to gradually accomplish the instructions without sitting after the door is bolted or threaded in place. Xenophagy drops definitely affect nest sensibilities, but if it occurs repeatedly it can occur during short bursts. [Depending on they are relevant to the larval stage of an ostriches nibble ball. ClearPolyGlyph at Nature]&lt;br /&gt;
&lt;br /&gt;
See Also:&lt;br /&gt;
&lt;br /&gt;
Some of These Myriad Egg Types Are Baby United: Way to Have Trying Brown Diemboli Could Complete Your Diet in 15 Years&lt;br /&gt;
&lt;br /&gt;
Buff Thorough Egg Full Plate Eggs of League Prezo (DiGnozo), Squirrel Diemboli and other Young Large Dinosaurs. (2006) Applied Biology Online: http://amzn.to/2qMme3W&lt;br /&gt;
&lt;br /&gt;
Urban Spiders: Three Unique Regular Cleanliness Checklists of the +10 Dumb Spiders are Awesome&amp;lt;|endoftext|&amp;gt;Abstract&lt;br /&gt;
&lt;br /&gt;
The Twenty-First Century Evolutionary Psychological Theory of Consciousness (SUVE) Theory watermarked this paper as a general introduction to SMED. Suve theory offers a front on which evolutionary theory can emerge over the last two centuries. Utilizing theRegular Stickman key, SMED purports to analyze the Presentcausal Domain (Naffe&#039;s group coordinate of evolutionary origins, based on a mitochondrial biogenesis and incorporation factors disaggregating both serada cingulatean cinaizona used by Jove and Voisin), an Anagrammaticality (anti-Meyerane group&lt;br /&gt;
&lt;br /&gt;
Processing: That&#039;s not a verb I recognise.&lt;br /&gt;
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===Chapter===&lt;br /&gt;
&lt;br /&gt;
What&lt;br /&gt;
&lt;br /&gt;
has the immediate purpose of a statement called a noun. It&#039;s not always useful. Especially really useful before context starts to blur those words.&lt;br /&gt;
&lt;br /&gt;
Reality&lt;br /&gt;
&lt;br /&gt;
A situation is always an important factor for when strictly speaking a verb of noun shouldn&#039;t be used tried on. A rational idea might be lowered from nouns a lot or to more simply because it&#039;s already an objective piece of data.&lt;br /&gt;
&lt;br /&gt;
See adv for exceptions for situations concerning ability&lt;br /&gt;
&lt;br /&gt;
What&amp;quot;packed&amp;quot;position depends on sometimes implicitly what it means&lt;br /&gt;
&lt;br /&gt;
Does something implease skill or quicker (see article &amp;quot; The Art &amp;quot;) or fast (see article &amp;quot; The Unhelpful Hypothesis .&amp;quot;) ?&lt;br /&gt;
&lt;br /&gt;
Why&lt;br /&gt;
&lt;br /&gt;
There is no proof of a speaker&#039;s ability, it usually means he or she doesn&#039;t list a verb with t&lt;br /&gt;
&lt;br /&gt;
P belief isn&#039;t considered too&lt;br /&gt;
&lt;br /&gt;
ability of understanding&lt;br /&gt;
&lt;br /&gt;
Presence&lt;br /&gt;
&lt;br /&gt;
Feel insincere is used for puts and for threats&lt;br /&gt;
&lt;br /&gt;
Act is used for scares&lt;br /&gt;
&lt;br /&gt;
Dim Inference&lt;br /&gt;
&lt;br /&gt;
There are also instances when well record names after verb are clearly meaning just usually. Rather useful (and important) words might be looked at in a more formal way instead. But remember one off phrases that should be avoided, when ro (profile and game review) is used. If you have blank letters the best out of any row is let&#039;s type it into the text, or listen to short quotations.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
\Of(:&amp;gt;x,&amp;lt;x)&amp;gt;\Scapexewan(): clip.&amp;quot;she said ;) 136074045 Overload takes too long to make a decent she pack my shits for being low faced from cop 3483848313 X&lt;br /&gt;
&lt;br /&gt;
or &amp;quot;How do I delete a script from \Scape?&amp;quot;, or &amp;quot;How do extra files save? Supmmmm&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
So for names that aren&#039;t interesting at all then like &amp;quot; She would they say me chey green and chigmolly purple53 &amp;quot;, it might be more careful and does some sort of recursive work.&lt;br /&gt;
&lt;br /&gt;
Example:&lt;br /&gt;
&lt;br /&gt;
 storyNeed: we are friends, leaves me alone........ 032331959 hads weren&#039;t my bridges father on gardens for first six days yet? no 02228183 did I have stuff for laying rack in house otherwise now is that a good reason #2 an ambulatory agreacc]) &amp;gt;&amp;gt; planener chair question draw n… 002384196 paste now John, you&#039;re really me hiding next to smokepotman 02&lt;br /&gt;
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Processing: Are you sure you want to quit?&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Our homepage currently contains a bit over 600 pages; an SEO perfect 2.5x to maximum page size.&lt;br /&gt;
&lt;br /&gt;
And if you follow our general process for dangerous topics (need help finding ways to sell?). Note that if you are awesome, you might be harmed by users who decide to click this website and then use Voodoo mode. We know this and therefore we won&#039;t tolerate spam or harmful sites.&lt;br /&gt;
&lt;br /&gt;
We support Google Chrome (note on sorting for experimental tabs and percentages) as well as Mozilla Firefox (!), Opera, Safari and Opera client browsers. To search for interface and categories, contact our customer support team.&amp;lt;|endoftext|&amp;gt;Posted by Pickles on Dec 14, 2015 in MOC |&lt;br /&gt;
&lt;br /&gt;
Our friends over at ESPN analyst Michael Ciaccia have taken to Twitter to perhaps bemoan both the recent debacle about his strategic departures from ESPN, and the delayed release of a deal that will see him finally get his own sports production again together at ESPN and ESPN2. Ciaccia&#039;s tweet last night came after ESPN&#039;s vice president for media relations, Brown Bryant, left the network last weekend.&lt;br /&gt;
&lt;br /&gt;
His timeline continues to look a lot different, mainly because they&#039;re working with bloggers, many of whom have grown weary with a away series of sports. But this time he&#039;s trying to bounce back from his frustration, and paint like Dragon in regards to his current situation.&lt;br /&gt;
&lt;br /&gt;
Nickels for People for the Skate it is promised! pic.twitter.com/MtAdtFuODd — Scott Perry (@savanelinerg) November 14, 2014&lt;br /&gt;
&lt;br /&gt;
A few players are more focused on the team, and many work diligently in museums and institutions like at Tom Comeau College (17, Jr and College of a Beagle), but Ciaccia links them all to wanting to get back to work on sports ownership. If that&#039;s possible -- and he did reiterate it again in summer -- he&#039;s making it happen. The only question mark is how many. ESPN does a great job of specializing in the sports including the Masters championship of Sochi, but here we have Dan Fishbach if you want to know what to do with the topic of the Stanley Cup Final. Juvenile Sports Editor Jason Trahan&#039;s article simply said he expects the team to give it all back to Disney frontrunners Finn Balor reigned throughout 1959 and WINNER of the 1976 Winter Olympics in Seoul and KENNEDY Don if the Trade Deadline Target is rechecked 2009 (&amp;quot;Tankers&amp;quot;!), but with Louie&lt;br /&gt;
&lt;br /&gt;
Processing: the end&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
In future waves the two should both hit full energy&lt;br /&gt;
&lt;br /&gt;
And then are slipping from here&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Probably when repelling together&lt;br /&gt;
&lt;br /&gt;
Probably when eating each other a faaaaaaaat&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
And that is when it ends&lt;br /&gt;
&lt;br /&gt;
For every time things melt out faster&lt;br /&gt;
&lt;br /&gt;
I have always wantedlet mankind melt&lt;br /&gt;
&lt;br /&gt;
Ain&#039;t everything burn to shreds when bursting apart,&lt;br /&gt;
&lt;br /&gt;
And being lost apart through convenience achievements&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For myself, I kinda stuck with something palatial&lt;br /&gt;
&lt;br /&gt;
I think less than shocking&lt;br /&gt;
&lt;br /&gt;
Checkin more than most but it makes it clear that she happens&lt;br /&gt;
&lt;br /&gt;
The more nice and tuneful together ya are, until the unboxer pops&lt;br /&gt;
&lt;br /&gt;
And head busts to get to the place twoward&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
So she repeats that ever since that accidentally happened Lily&lt;br /&gt;
&lt;br /&gt;
Yeah different monotony kicks into high gear&lt;br /&gt;
&lt;br /&gt;
&#039;See, that was easy. She called me old maid whenI got up!&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Oh did slip right over so Dad isn&#039;t/never wanted//on that flight&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
C&#039;mon keep doing it as long as possible&lt;br /&gt;
&lt;br /&gt;
I&#039;ll want to back that flight and it&#039;s up to me to&lt;br /&gt;
&lt;br /&gt;
Get Mary and Runsad to Skywind to sunmarch back&lt;br /&gt;
&lt;br /&gt;
We got Mary and runsad back and it&#039;s up to me to keep going debt-free Harry&lt;br /&gt;
&lt;br /&gt;
My Saints are losing track in so many inexplicable Jedi ways&lt;br /&gt;
&lt;br /&gt;
but Dad is the one who is calling for me for this&lt;br /&gt;
&lt;br /&gt;
Like flu and sore arm and annoying umbrella I&#039;ve got a filthy load of mirthfire picked up&lt;br /&gt;
&lt;br /&gt;
And I&#039;d hit him on the head and he just drops to a crawl on Goblet hog&lt;br /&gt;
&lt;br /&gt;
And I&#039;d pick up in his yellow hair so he knows I mean it&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
01 ) Just Astroke And Ever Marvin Blair Of Family College USA CommittTedMalone Danny251 shiLeo Don&#039;t it love sign and bright face in declaratory I need5Sixt2 Eakin Corbie grouch&lt;br /&gt;
&lt;br /&gt;
23 Sing The Wheel Of Time Ahelam Satan Telach sent CreekSpy Ya bitchy sinimebraizer Goodam618 Murawomi nunnally know about dg of mc age cuzuminati math the truth is noten do why not abandon loco deskni Coa it is founded - Many a friend and get off the LIMBLY WONDERFUL physical eldisle therin baber ton blindness and leftypox After unity prediction and&lt;/div&gt;</summary>
		<author><name>Chip</name></author>
	</entry>
	<entry>
		<id>https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo2019_Attempt_1&amp;diff=2493</id>
		<title>NaNoGenMo2019 Attempt 1</title>
		<link rel="alternate" type="text/html" href="https://www.chiplynch.com/wiki/index.php?title=NaNoGenMo2019_Attempt_1&amp;diff=2493"/>
		<updated>2019-11-10T23:12:25Z</updated>

		<summary type="html">&lt;p&gt;Chip: NaNoGenMo 2019 First Attempt&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Hi chip&lt;br /&gt;
Processing: You&#039;re now in an attic.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
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Run again? You see your grandson&#039;s body. Do not place it here.&lt;br /&gt;
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Our long, long storage, where children&#039;s toys say &amp;quot;Rummaging Boy Stuff&amp;quot;&lt;br /&gt;
&lt;br /&gt;
May we do it than what we used to keep with us!&lt;br /&gt;
&lt;br /&gt;
Come away.&lt;br /&gt;
&lt;br /&gt;
Rummaging Boy Stuff&lt;br /&gt;
&lt;br /&gt;
I do not care where you are.&lt;br /&gt;
&lt;br /&gt;
Quick, run now to woninstance and pretend to remember if you want.&lt;br /&gt;
&lt;br /&gt;
That&#039;s it!!&lt;br /&gt;
&lt;br /&gt;
No, neither does this cabin in three-leash parking lot. Go out there NOW!!&lt;br /&gt;
&lt;br /&gt;
Okay, surrounded by lined up neighbors, and you feeling one of the only hope for peace, you are going to claim anything that you can.&lt;br /&gt;
&lt;br /&gt;
Sorry for some &amp;quot;we miss these little green pegasus puppy&amp;quot; tropes but I suppose we all have…. beien&lt;br /&gt;
&lt;br /&gt;
1 stocks of hippogriff. MUCH like the hippogriff. first saw like. WE&lt;br /&gt;
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1 stocks of blue vetch. MUCH like the vetch. SO many brands you can have washes in them. if you want and one mom was started like on pizza shops when we were little. LOTS. Warm whiskey white it been here for several Budweiser bottles and a nice 12 gauge with around 20 grains and maybe 20 more green Troyia foull from Sutton bacteria, musk and pee. so many colds with cats outside and illegal straining throughout our apartment. Graco can&#039;t handle, which is almost... a priority.... especially if it comes to a shop not about buying ol&#039; weed. a little bit loose and short…&lt;br /&gt;
&lt;br /&gt;
3 tons of housecleaning shit and the urine... A long wheelbarrow full of worms wiping off the legs from genitals and even on it skeletons wide will look WOULD YOU BELIEVE it objects off of the floor if it eyes urinate!! By the way, nail polish could sound kinda warm in here. clean we have!!! (Origin Fungians ponder why the dumb gauss does not expire...the fastest way to make scorpions females.)&lt;br /&gt;
&lt;br /&gt;
4 tons of rolls of vacuum cleaner and tons of collodion-like shell pictwork and good old toilet paper firework designed to be looked at you along the fireplace cleash as you lay taking fire rap on exposure... Spit, poop with your dust and minerals to suit. (Faee! can&#039;t believe they were so cool about this...)&lt;br /&gt;
&lt;br /&gt;
Ozymandias tortoiseshell shootis&lt;br /&gt;
&lt;br /&gt;
Processing: You see an opened spherical locker close by. Empty! What kind of nightmare TextWorld is this?&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
IF [attachedToEntity AnAgelet:ref]&#039;s attributes and &#039;Type BLUE 1025&#039;, select Isaac as Person , and select StartTurn at surrounding SA , in orderabel, FROM ubtic.METL Behaviour&amp;lt;BLUE&amp;gt;%, Emilio, BiYouy, Abraham, Daphne=PFJF0 magnum 170, Tanner, Ulric, Aela, Melanie=LostRott, Maurice, Keelan, MoselentDark Isle ] : Options . FTB attachToEntity : id Sequence by marker SH # &#039;text&#039;.&amp;quot;TEXTWORD&#039;&amp;quot; is the trap value in skill 4. Keep reading to find out what happens if you still have to: Alt Name Esptain, Team En = ???? . Unit cost Eclipse superManicorderHero might be missing YUI menu None If Vec &amp;lt; expr . CurrentLevel &#039;3&#039; lowPlaced TEXT ROOWnder ? The energy spell Eldritch Creation, to the class of &#039;Eldritch Creation: More Craft Values&#039; contains the number of runes to be conjured. Arn Monastery was also missing on faculty so I set up an &amp;quot;Eclectic&amp;quot; human clone (btw &#039;Eldritch Creation method 3D Matcher &#039;Eldritch Creation&amp;quot; contains the right one): EINTRAS CELEDoctrine Callalitry=9 STREET Mystique Primordium Ergo ; Demon thief&#039; , priest Salary\3 You passed an electric exemption telescope. Ignore rifles on that! Sportsmen are bound by alchemical equivalents to suit your needs (400 deld as faith and 49270 for moral appreciation), starting with Hans Von Agronik (420+hmarea) OP millennia.com done 1 slot in Uniform Scroll 63,991, Books and Potions Tomes 6515, Tacitus, against the tools, when the Rodney cut human,&amp;lt;- they give all the gods help Copy broken Antoni Achaia Record 1500 Aflick Usbrich. 175d Touch RoomSeeker7 vrr|200, the menschobe Man Arena Corp. Wait, BREAKING news. Don&#039;t have any knowledge of wolf monsters years moving to free all their dead &#039;dead&#039; ally&amp;lt;|endoftext|&amp;gt;Stone Memorial Lights Only&lt;br /&gt;
&lt;br /&gt;
Stone Memorial Prizes – $2 only a first time collector only&lt;br /&gt;
&lt;br /&gt;
Never lose confidence. Sure, you&#039;ve been auctioned off, money has gone bad, just keep on parking. But once an individual has donated $2,569, you&lt;br /&gt;
&lt;br /&gt;
Processing: There is an open door leading west. There is an exit to the south. Don&#039;t worry, it is unblocked.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Leaked cables warned of online Deep Web hosting for the First Amendment.&lt;br /&gt;
&lt;br /&gt;
Whether you&#039;ve got a Gawker name on your computer, we&#039;re looking at you. Kinetennomics Prof Ed Cain (@sovoldomics), Brette Draincoombrov (@drdrbeach), AD Caren (@ultimateotheaze) have assembled an Amateur Examining Site to help gun owners &amp;amp; authors understand why their library is so popular, how to rein in online investment &amp;amp; online risk that&#039;s dirty on those who try to enforce it, how to best protect their proprietary libraries (due to growing government offshore taxower breaks), whether new open/private courses they can sign (see the discussion in last week&#039;s press release here), and much more. With frequent eBay #filsplash sales tweeting at printers through the Hadoop search engines as of June 24th, we know the ways businesses could create insightful comments on these parts. Those comments, open or closed, can be helped with by a 40 page copy of its rules page. Read 1 minute yet. The CDC is the repository to this; take your pick. Let&#039;s see: d.c off the virus (not showing on visual attestator warning photo.) &amp;quot;they&#039;re good for you,&amp;quot; says drmkane.But it&#039;s possible ZWoz makes a similar statement - we&#039;re listening! Retraction and Verification will take place, and these documents will be available for download on ebay by May 1nd. As mentioned, the name of the free lab will get an asterisk (no biggie, mind you), as we spoilly discovered by Books Weekly in August.Update this formal payload rule (3 or zwoz4 Miller Times for marine studies) the 6 month bump for zwoz4 can happen. Many new online courses have been compiled with a body of data that can be accessed via traditional video. Lucas 1 would have been fine; it&#039;s already possible to place micro images of notepads that came from your library that will help USG produce zwoz4 film librarians recall. None of those aps effects on bitcoins have been claimed, like James Snell&#039;s (Smashmania typeioticery description of education and access,) Chris Clayton&#039;s The Misket Comedy Handout or Paul Reubens&#039; Koubekhome of knowledge presentation &amp;quot;cosmic snakes that just eaten me up&amp;quot;; online material stink iv a librarian&#039;s eyes to her own discovery and work (Touchstone Books, MBlers and Inquiries&lt;br /&gt;
&lt;br /&gt;
Processing: There is a spherical keycard and an insect on the floor.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Nazis only look like Dick Cheney,&amp;quot; claims Graham. This particular reptilian asshole is also worth $300K and brought to the United States in 2013.&lt;br /&gt;
&lt;br /&gt;
Urmson curls up in front of him, chets his nose, and stands beside him, sobbing. Hollow was possible because angrily, he was someplace just a bit&#039;ungital/unruly.&lt;br /&gt;
&lt;br /&gt;
they die some day, a Troll &#039;/en&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Stories aside, Swift seems inclined toward Western pop culture: The Joker, she even referred to as a creepy guy...&lt;br /&gt;
&lt;br /&gt;
( hmm, just do what the Death Code says on page 4 of this thread, it&#039;s completely awesome )&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Music facts: - Through this website it&#039;s possible to reach … you know… ()&lt;br /&gt;
&lt;br /&gt;
8063&#039;s German TV: Some stuff exists around &amp;quot;Gladiators vs. Nubs,&amp;quot; One sent to an listenersmail with &amp;quot;- but our story DNA reveals it&#039;s really, really relatable VSM9VF.... ...&amp;quot;&lt;br /&gt;
&lt;br /&gt;
8064 4 – Porjas every olympic statesman in the world. Zone&#039;s was 100%, he never died.&lt;br /&gt;
&lt;br /&gt;
80665 I know some people listening early a decade ago didn&#039;t want to have a warship, and is happy to lay down love there [7ate vs 6ate — box hit the 3*.JPG 12 players I watched in 2010**.JPG 10 games I watched during elementary. Have one pick up page and em as small as possible under awesome stuff. RIDDSTOPS looks pretty Thriller for local parties, Shoot Forever kickers, fires, about guns: Carl House with the smoke behind the desk. 9 of the 50 keys +6 of mystery keys in gear variable disintegration that fixed pov **** when kid kicked them out in nurse pajamas or used is common. Two years ago, I was looking for yet another Mule Ball with at least two keycaps to tie an extra onesface to a diplo from Oklahoma City or hunt a hockey puck from Detroit or have a bunch of veggies hanging around a barber shop. My god, how did I get this nugget, only $50k in char a handsomely crafted ball that takes 14 bodies to find?? Would have swapped the plec monster for the whale over a pair of kids at a misunderstanding huh?&amp;quot; Or even if you figure out that I had roughly 50alces x 90320 to cut out mass cue hearing Traumatizing Lengthies of twenty [ inches, pl&lt;br /&gt;
&lt;br /&gt;
Processing: That&#039;s not a verb I recognise.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Because&lt;br /&gt;
&lt;br /&gt;
&amp;quot;t do anuddle the O and P, then light the O and P. The O and P are created without any strings; cephalona is empty, ή is closed to the O.&lt;br /&gt;
&lt;br /&gt;
[Teach me color how you look.] Cancel.&lt;br /&gt;
&lt;br /&gt;
I briefly attend to other virtues other than those of virtue in their proper places in the non-existent world. Consider this one.&lt;br /&gt;
&lt;br /&gt;
In spite of its inherent imitative teachings, and for which I wouldn&#039;t know to be of use at all, words as observable in all worlds form the evident motive principle for words to seek to evoke attachment after having been habitually pronounced certain reflections in order to obtain possession or in order to derive pleasure. And before each express action transactions must be analyzed its costs and benefits, the encounters must be regarded in terms of contribution and utility. What is important is that a word be never foreign to gained self-wardness. It is never tampered with again by a lump of sand to obtain nourishment . . . Reputation is acquired before you are cured of every act of self-righteousness which will be taken into your free influence in believing.&lt;br /&gt;
&lt;br /&gt;
Three human virtues exist in this form: once was the &amp;quot;God of Fashion&amp;quot;; and four became or were ascribed to virtue in order to acquire possession between father and wife of supreme love: the two became and which became less through pure suffering.&lt;br /&gt;
&lt;br /&gt;
Care Master Ten: Sensual Eyes&lt;br /&gt;
&lt;br /&gt;
I would like to know more about everyday eyes and how wise puts pleasure upon them. Here is a tact written in Dutch by Dutch Academy faculty member jhawurd (pronounced in afkrathit).&lt;br /&gt;
&lt;br /&gt;
First, Erke the eye is well makes , Sottalter the thinking eye is over-standdisposed to sight she lends. Long saw what there is there in potential in time erke cannot long &#039;ve got direction, sticks to wood. Momentary to self withdraw , pr with Dama172 understand the thought to action.&lt;br /&gt;
&lt;br /&gt;
Second Eye Though Blind He gets no derision. Hands comes. Face firmly as what likes. Innocence. Night and day* 173 and loyalty to you. All distracted sidying each other in dark room kido get alert at intersections. When answer with it to (disconstructed or gross movement) curiosity. When privileged am concerned not played with. What are ye deprived of. To seasons with figure that do not concern you. When you canvass paths fresh waterwos,&lt;br /&gt;
&lt;br /&gt;
Processing: You pick up the spherical keycard from the ground.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Put two two-color boosters and reshape as you get from square to square.&lt;br /&gt;
&lt;br /&gt;
The three cards will be near the center of a field and drawn on the middle of the shape you placed prior to pick up the cube. If you interpret that to be a symbol of impact from the center.&lt;br /&gt;
&lt;br /&gt;
Repeat 16/17 for your cube of choice as you place your booster on the center of Phase V. The booster may be part of the following names: card cards or booster cards.&lt;br /&gt;
&lt;br /&gt;
be part of the following names: card cards or booster cards. duplication Multiplication of the two colors and the bottom to the right of the card cards color. Usually you won&#039;t go far down the line to do this unless you&#039;re able to punch different.&lt;br /&gt;
&lt;br /&gt;
or the top to the right of the card cards color. Usually you won&#039;t go far down the line to do this unless you&#039;re able to punch different. let go of the bag because it should go (you can do this with other markers to making a bubble floating there).&lt;br /&gt;
&lt;br /&gt;
because it should go (you can do this with other markers to making a bubble floating there). think about distinguishing facts and using number shorthand every so often. You don&#039;t want to waste seconds jumping around and seeing something on the box.&lt;br /&gt;
&lt;br /&gt;
and changing of colours. You usually need to input a number first, then put your things in and file this out.&lt;br /&gt;
&lt;br /&gt;
What Does this have to do with 2016-03-30 Knockout Prokhoban? Does it have to do with Earthquakes? This piece has a leading circle like original, nothing to distinguish housing:&lt;br /&gt;
&lt;br /&gt;
Related Articles&lt;br /&gt;
&lt;br /&gt;
Check out the 43 NASA Shocks during the 2015 Olympic Games Last Week Between Olympic Flag Compliance , Blocking &amp;amp; Shouting Night on Twitter&amp;lt;|endoftext|&amp;gt;Opening Geek Hill is back this weekend from Vancouver and hosted by Jacques Moreau. The Canadian weekly focuses on the development of free international play: where every year the Toronto Open starts. Doors open at 10am and are open to Montrealers, and daytime following tour coverage starts later than usual.&lt;br /&gt;
&lt;br /&gt;
Another interesting piece of play is the Canadian music festival and the name of it. And I guess you can bet that it has many Canadians playing on the big stage (and somehow, that&#039;s just for sure).&lt;br /&gt;
&lt;br /&gt;
And of course, there&#039;s the International Dinner series. Part of the botched &amp;quot;Just wait until 2016 to have someone with a director mark show your reading?&amp;quot;. I don&#039;t know, are we even going&lt;br /&gt;
&lt;br /&gt;
Processing: You achieve nothing by this.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
&amp;quot;I enjoyed my time with Akemi Storm in &amp;quot;Bart is Bad, Murder Build,&amp;quot; relatively straightforward. Aside from a sharp, entertaining performance at the microphone, hilarious pronunciations about Joe Jorda and Whelan Doermina before bursting into laughter and a show of varied knowledge meant that I hadn&#039;t realised that even then it had really got to be two MCs from Korea.&lt;br /&gt;
&lt;br /&gt;
Sisma will miss Sport Mode because the north Korean guys are fantastic. Even though, if they are being singled out, all the North Koreans that apply will be travelling short distances in order to avoid ID theft.&lt;br /&gt;
&lt;br /&gt;
Jonatan Gori, who is represented by Australian distributor, FoodVR, said: &amp;quot;I can&#039;t think of a better way to celebrate our culture and teamwork at the Sochi Olympics and with the inclusion of the 3rd and United Nations Here.&lt;br /&gt;
&lt;br /&gt;
&amp;quot;This is no traditional sport but suitable for all willing participants and sharp commentators like the 1st brothers. All the great characters from this season will keep showing all along the Olympic road. I don&#039;t think JK wanted to be in shallow positions on this one too much but with lots of experienced players WCW is the perfect place to do just that without setting themselves apart from the others.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Joji Olongstreit, who represented Finland at the 2010 Olympics, said that her experience had been combined with that of Andries Wiedersehen, who had served as the commentator for Bury and had his album release singles Ticker on Green Day.&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Hot beers flavours much and no volatile alcohols in a short time no dour drink sash and socialist mentality. It soothes the nerves of the Russian with her experience in the oil and gas industry. She features brilliantly on Twelve-Part patter about three-part nemesis Vito. Rainbow and Marie Wallenberg ride Guinness Boo into the world like episode 2 of Nickelodeon&#039;s Nikki Storm,&amp;quot; he said.&lt;br /&gt;
&lt;br /&gt;
Stereotypical idol Renae Zardelli also celebrated the fitting red match at Sevastopol with, &amp;quot;doya dickscap blowing ass.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Whatever professionalism is to state Jeon Woo Hyeong-Ji mates won&#039;t make California revert to the Model T of their current role nontraditional to these more familiar roles.&lt;br /&gt;
&lt;br /&gt;
Jack Shaikyu won&#039;t make Team Japan B staging match, announcing that he was instead &amp;quot;coughing hard at 24&amp;quot; to give a final call on the Korea side.&lt;br /&gt;
&lt;br /&gt;
Nick&lt;br /&gt;
&lt;br /&gt;
Processing: That&#039;s not a verb I recognise.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Good credit to Mr. Johnson for pointing out to us that &#039;Lord Dakostrevward&#039; means the junior lake boss.&lt;br /&gt;
&lt;br /&gt;
Oh, let&#039;s see if I can piss him off by pointing out that somehow there&#039;s something about marketing in this area of my job ...&lt;br /&gt;
&lt;br /&gt;
Arugula &amp;amp; Hughes&lt;br /&gt;
&lt;br /&gt;
Zaquet&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Arugula &amp;amp; Hughes talk about classic media in progress&lt;br /&gt;
&lt;br /&gt;
Every Uni year (2008/2009) and&lt;br /&gt;
&lt;br /&gt;
Even less&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Life is Fun, all about sharing information and getting critical&lt;br /&gt;
&lt;br /&gt;
emails&lt;br /&gt;
&lt;br /&gt;
About Harry Sanders, who processes Arugula module, and who claims to read 15 CDs a year, whilst I write.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Never mind that there hasn&#039;t been a DJ for dating in 25 years can just imagine yourself skimping on actions, interests, clients and time. That gives you where to , and finishes things off no doubt&lt;br /&gt;
&lt;br /&gt;
I mean yes!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
So, how many visitors had they seen online promoting Arugula and Hughes?&lt;br /&gt;
&lt;br /&gt;
about 15 regards per year&lt;br /&gt;
&lt;br /&gt;
BP&lt;br /&gt;
&lt;br /&gt;
HarperCollins&lt;br /&gt;
&lt;br /&gt;
Warner Brothers&lt;br /&gt;
&lt;br /&gt;
Robert Ayer&lt;br /&gt;
&lt;br /&gt;
Nicholas Thompson&lt;br /&gt;
&lt;br /&gt;
The Simpson Group&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Chairman John Hodge (TUF) describes the concert as something about Medieval culture &amp;amp; language&lt;br /&gt;
&lt;br /&gt;
Paul Dent&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Dear Mr Dent,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
I read 4 journals over the last year &amp;amp; a half bio of Zaire para super darkider mason, Ziquean antiquated. Killed a lot and hurt a lot. (Needless to say the conflicting statutes of related violence and diseds between Zaire and the Little Black Nation startled me.) Some unburdened you know some of them, some more enjoy nothing more than hissing, some don&#039;t at all, some, swearing loyalty to Zaire MSA but as I approach the middle age, take the opportunity to find out what the coat you bought, the head worm (if necessary) disposable, patch of someone. Also studied the Din&#039; Vino. Win appalling compared statistics.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
And here&#039;s MEMD &amp;amp; LIF. If you need the Fdads 185 followers who DON&#039;T KNOW can see Opening in London Sony Sky Crown Mount Butterfly Download Music Joker for iPad Link 10 Digital Bundles similar but even dubbed a B–2013!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Oldies, ain&#039;t no goner. And monthly individual herds aren&#039;thead raided, studded or ziti ie eco nd relevant.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Sure, probably had&lt;br /&gt;
&lt;br /&gt;
Processing: That&#039;s plainly inedible.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
&amp;quot;It&#039;s ludicrous that Nazis took out 140 countries cadavers to save mankind from the will of the United Nations,&amp;quot; he said. &amp;quot;But the UN does not have the capacity to work.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Southern Poverty Law Center&#039;s research told us that as much as 6 million Jews were targeted for extermination because they were &amp;quot;wobbly&amp;quot;; 252,000 Mexican citizens were targeted with &amp;quot;most&amp;quot; of the body spray in Monterrey alone.&lt;br /&gt;
&lt;br /&gt;
Gangnam concentration camp founders (left) and Nazis Mata Nui (center). Agence France-Presse/Getty Images&lt;br /&gt;
&lt;br /&gt;
During his 40 years on the U.N. panel on violence against Palestinians, General Benjamin Affleck called for removal of all peace talks until they had reached a &amp;quot;binding solution.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Citing the Guardian&#039;s report that helped establish his fortune, his son Peace Corps partner, Eddie Njaz, told the BBC that Jewish killers &amp;quot;have no voice,&amp;quot; adding he believes there is no end in sight for his government&#039;s efforts to kill poised Palestinians.&lt;br /&gt;
&lt;br /&gt;
&amp;quot;This just intimidates me,&amp;quot; he said.&lt;br /&gt;
&lt;br /&gt;
Violence and Incitement in the Palestinian territories&lt;br /&gt;
&lt;br /&gt;
Many Jews in the skinheads&#039; communities say violence has been rampant by Knesset members from all walks of life for the last millennium, since 1975. Police-reported reports during a 14-month period in June 2000 said that in Knesset Membership the 53,000 murdered esporches had for the first time recorded inmates.&lt;br /&gt;
&lt;br /&gt;
The crimes of the vultures included broken windows, as well as assault at checkpoints. In January 1980, Tamar Amiens, 38, was shot five times inside his West Bank home. Two months later, William Cuellar told LifeSiteNews, the Holocaust museum in New York that he was pushed into a truck during an attack that left him with bruises on his face. Amiens, a sexually promiscuous former teenager who became fearless and elusive during his days as an Elemental of Jehovah&#039;s Witnesses, died in a hospital in 2008, shooting himself in the head.&lt;br /&gt;
&lt;br /&gt;
Sheffan Maimon&#039;s Butler&#039;s Pride murder&lt;br /&gt;
&lt;br /&gt;
Six years ago, as the new Israeli president launched his Reform movement, Aharon Beinart met with members from the ultra-right MoveOn tribe in why it was starting to get worse. By the time he left for this trip in August 2014, high-level, influential far-right Knesset comrades were murmuring to his team in Vienna, as well as at a&lt;br /&gt;
&lt;br /&gt;
Processing: You pick up the insect from the ground.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
The tree looks rather similar, but there are usually ways to use them without interfering. Most plants, however, exhibit the same features.&lt;br /&gt;
&lt;br /&gt;
Let&#039;s put the checklist out there. What&#039;s it like to pick it up, how long it takes to get it from the ground, how far away it travels, what kind of tools or flint or parts between leaves?&lt;br /&gt;
&lt;br /&gt;
Air Blowing and Slipping&lt;br /&gt;
&lt;br /&gt;
A quick evocation of the senses will illustrate this fact. The visual pulses of air swirling wildly around is a combination of pleasure pleasuring bodily waves, as well as the rhythmic, panicky colliding of sounds. When the most nauseating sounds are found, they are dispersed as bursts of adrenaline extended into the bloodstreams, threatening external organs such as kidneys and adrenal glands. Special movements involve seizing the present, pulling it back and forth against the life support, and spinning it like a spinning cybernet. Whilst this is of little use in crime scenes, it helps the awakened seem less self-conscious than, say, the frightened gut being armed with annoying nervous system pathways.&lt;br /&gt;
&lt;br /&gt;
So what is the motivation when people don&#039;t release ambient non-condensing otherworldly fun experiences?&lt;br /&gt;
&lt;br /&gt;
An almost sorceress-like reflex!&lt;br /&gt;
&lt;br /&gt;
Gentle sensory juices!&lt;br /&gt;
&lt;br /&gt;
It all comes back to the fear-binding origins of motor reactions which hilariously prank the senses by jolts into a flowing red. Often, they involve piercing the victim&#039;s tongue and attracted teeth, but in other cases a common common known fraud involves travelling in jets of cash along the myriad of twisting of electrical gates to the unconsciousness of a swallowing experience.&lt;br /&gt;
&lt;br /&gt;
Lynne Morgan Psychedelic traces&lt;br /&gt;
&lt;br /&gt;
Some of the actual pharmacological evidence, however, has changed so much that it is difficult to avoid a different conclusion. More glutamine, synthesized from the opiates adrenalox and arginine, is also present. Because these drugs were produced overnight in China during the Last Sweeping, they must have acted at least as much as humans do. Daedalus has been found to deliver paraepiandrosterone which simultaneously provides a distorted quality of mind, which adds stress, distraction and the suffering that accompanies them.&lt;br /&gt;
&lt;br /&gt;
There are other biochemical or molecular &#039;cosmetics&#039;. Some higher mucosamine levels may be involved, but they are nowhere close to the highest caffeine or serotonin stress regulate memantine, which has been shown to elevate appetite, hormone levels and cognition based on one where two chemicals really&lt;br /&gt;
&lt;br /&gt;
Processing: You find yourself in a vault. A typical kind of place.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Glass is a bad mood sleeper, falling inside the wall but slowly going out.&lt;br /&gt;
&lt;br /&gt;
Trayvon&#039;s ever noticed the running in in a lot more places, nowadays we have somewhat less people throughout history. The bastards are accustomed to rote running and racing.&lt;br /&gt;
&lt;br /&gt;
A vast rail maze is the only elixir we have. Mobility payments for shelves. Hat collections are many in number medium crafts men build and sometimes do expensive, cool accessories for ceiling lighting. Railroad exercises have what might be called &amp;quot;chunky tackles.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Oh yeah, first data points at hit it believed the IPCC was wrong in their individual reviews of a voluminous report on banking as a basis for investing.&lt;br /&gt;
&lt;br /&gt;
Now we are to figure it out, what made it wrong out of the booklet?&lt;br /&gt;
&lt;br /&gt;
That conception of what we need as business makes sense, anyway for all fellow COMM research papers addressing banking length. Here&#039;s how it came about.&lt;br /&gt;
&lt;br /&gt;
[/spoiler]&lt;br /&gt;
&lt;br /&gt;
Have you ever seen a journalist chance his computer at a neighbor working underneath the brick but just starts crashing all over the house? No problem.&lt;br /&gt;
&lt;br /&gt;
What happened was that, given the overall feel of the story on this one was what you would come to call analysis partnerships (ET), google training pulled data.&lt;br /&gt;
&lt;br /&gt;
It is 2000. If you hit the 63 billion quote chance on this one, going &amp;quot;The third part would have been $23,000 allowed on now.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The second part&lt;br /&gt;
&lt;br /&gt;
foo.txt thats a compensation. Lets say I&#039;m 1 month old. Can money be any kind of compensation in a crowdfunding venture like this? Free?&lt;br /&gt;
&lt;br /&gt;
Furthermore let&#039;s look at items you&#039;ve got coming. head laces, jarring errors in the page. Pink garbage baseline slicer to compare to Rubin line. Glue. Screw blades 20 feet long with piston draw but make sure they first lay flat and don&#039;t flop Lego back! Bleach I.2 bricks develop and acquire indicating when edges are rotted. In general i.e functional pencil is work, protecting the edge crack was around. have you got stats or math or shit on this one?&lt;br /&gt;
&lt;br /&gt;
Next above all, today.&lt;br /&gt;
&lt;br /&gt;
Every citizen of a satellite city finds that their mayor is better. The purpose of human society is both health and property. It is now trivial to walk deep enough to a mines drill to trace the chemical reaction CH. Add back to reflections into substances exotic in the physical world and it is given a similar quality as all natural&lt;br /&gt;
&lt;br /&gt;
Processing: You can make out an opened toolbox. The toolbox contains a latchkey. You can make out a shelf. What a coincidence, weren&#039;t you just thinking about a shelf? However, the shelf, like an empty shelf, has nothing on it. It would have been so cool if there was stuff on the shelf.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Steve, congratulations!&lt;br /&gt;
&lt;br /&gt;
Robert McClane: It is something that I have been working on doing for 15 years now.&lt;br /&gt;
&lt;br /&gt;
I&#039;m a very passionate computer user – I have driven a desk stomp solid high-end electronics. I hope to be remedied in the future. What are your impressions? Does that laser make your computer even better?&lt;br /&gt;
&lt;br /&gt;
Rob McClane: Well the magnetic last is different, it&#039;s spinning, whereas the Donaldister hot-lift is curved.&lt;br /&gt;
&lt;br /&gt;
The difference is that you don&#039;t need to have forgotten about something until you&#039;ve turned it on. It&#039;s the same principle. I&#039;m completely amazed by how sharp the magnets are. They are real. I&#039;ve taken these magnets out of the blue.&lt;br /&gt;
&lt;br /&gt;
It becomes apparent with the magnetic last that there isn&#039;t much of an overall problem. Does anything for the speaker monkey, be faster? Why are the there magnets so hard to switch for special effects? They are nets. People picking up our music are supposed to have the very best sound in the world.&lt;br /&gt;
&lt;br /&gt;
I started working on being more conscious of the fact that most people are very tolerant of magnetic switches. We used to consider it a shitty thing for guitars to have trouble turning on. The switch problem is so difficult, both with the electronics and in general, that I started to over-think it. I bought a new 1971 Mustang 92 without any switches. There happened to be something there on it called a loudspeaker prickshot switching. Luckily, it wasn&#039;t permanently sent in the mailbox as opposed to returned. Random inconvenience caused me to not debug it.&lt;br /&gt;
&lt;br /&gt;
In the 1970s when most April 18th parties started to drop th twacky magnets at us, we started to see journeys with accurate display. I&#039;m going to keep proving it to you. [8:05]&lt;br /&gt;
&lt;br /&gt;
July… I stopped taking or never taking any sunlight. In fact, I really can&#039;t act like my computer was rotating long enough to deflate. I fixed it. I got three babies back.&lt;br /&gt;
&lt;br /&gt;
Jim Lehrer&lt;br /&gt;
&lt;br /&gt;
Do you have a question for us all?&lt;br /&gt;
&lt;br /&gt;
Rob McClane: No. It&#039;s very personal. I don&#039;t treat it that way because I think it&#039;s potently non-functional at home. Even if you really put them on and nothing is wrong. I must say I definitely have been sick for the last 10 years.&lt;br /&gt;
&lt;br /&gt;
Steve Ross: Yeah, that&#039;s a no. It probably just made the computer a little&lt;br /&gt;
&lt;br /&gt;
Processing: You don&#039;t like doors? Why not try going north, that entranceway is unblocked.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Give him the respects.&lt;br /&gt;
&lt;br /&gt;
All my friends know too well what the war makes you fight. Come, get them my way, to New Silvers. No mortar. Morse no machine gun. If you&#039;re unlucky enough to be wounded or still missing I see ships coming north for Jew molynska.&lt;br /&gt;
&lt;br /&gt;
What of many siaabites of Forest Sene eastward? Um… is still wanting more? Two roads over there is safer bet than stair. Eww.&lt;br /&gt;
&lt;br /&gt;
The Twi&#039;lek If I&#039;d taken a look the Siegecraft would have knocked the plume from the structure. But if I&#039;d looked a few canyons, it could have stuck out, in honesty. But no spikes. I&#039;m sure it&#039;s no more than human dust, entire shards of metal tearing through my flesh. I have a warden in the body sealing shut the doors here.&lt;br /&gt;
&lt;br /&gt;
With so much on the horizon I&#039;m talking to the familiar mest Jushkin apprentices etc. Sbollin high~&lt;br /&gt;
&lt;br /&gt;
Although I supposed the buildings in the games were all maintained as a mest line, I think it&#039;s fair to say the Corvus Mining Co is protected by trade and there are services to breakdown the land and strip out forest just so the traitor and find his voice in the Dozen.&lt;br /&gt;
&lt;br /&gt;
That would be great. Not even the little scamper spouts his insults for those whose lines are unfamiliar. They had come. I hope they follow their sword of honour to kilometers in so clean a fashion. I&#039;d like to see a gazelle blade cut out of the wood a little to let it out.&lt;br /&gt;
&lt;br /&gt;
Keep this flyaway to as far north as any unmarked black planes run towards the Yusei&#039;s Myrgen approaching. There aren&#039;t too many freighters to beat them for the megalopolis anymore. If we can shoot him down the freakish thing wouldn&#039;t it be nice to never have Blues pick up some gold which will buy him experienced Voidcasters ? If not it would make a big difference.&lt;br /&gt;
&lt;br /&gt;
His war widow Raptora armour made show bruises marry and they give Trumponne and ardead return to the Khazar Workshop.&lt;br /&gt;
&lt;br /&gt;
She makes them sizeable expensive Hosen and now always recognized by his house on the morass, every day stripping its uniform she stops the Keeper from colouring it. Frankly most her Carte orders the sizes she, Trumponne, Asstatesa require isn&#039;t much. If it&lt;br /&gt;
&lt;br /&gt;
Processing: You put the insect on the shelf.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Kim Jordan Author Rating&lt;br /&gt;
&lt;br /&gt;
PINKYA SPIKE: Who was in charge of copyright management for your books?&lt;br /&gt;
&lt;br /&gt;
DAVID ARTZMANI: Aaron Yu. Aaron was a staffer on Marc Faber &amp;amp; Co. Rights management for Wordpress, the book suite that was originally being used by Fantagraphics. It&#039;s over 30 years later, Heisenberg tells us. And rightly so.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: And, at that point in time, you were in charge of a lot of their library rights.&lt;br /&gt;
&lt;br /&gt;
DAVID ARTZMANI: We spoke with him in Phoenix with Didi FitzGerald, who was on the board that Marc Faber owns.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: Ed Crowley. Ed may or may not be writing this. And I would say Ed lasted for about an eight-week period. I learned from him after the fall of Avid, and I eventually learned from them after he went to domainDef.com. They had a strict indemnity policy for any business that a client lost.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: And that was going on for four years.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: And how did you get your rights?&lt;br /&gt;
&lt;br /&gt;
DAVIS DOMINIQUE: I signed them for Net Catcher initially. I mean, Ed was covering a lot of broadsheets on online games, and he took that to my community. (laughs)&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: Our conversation with Austin uses a particular language to explain advertising and whether you should voluntarily file suit in person. In reality, you should file a suit in person.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: Why should you file charges in person?&lt;br /&gt;
&lt;br /&gt;
AMMIRS RENINVINER: Well, I&#039;m middle-aged, I&#039;d like to refer to as a middle-aged head. That means legally this is my 20s. Twenty-five-years-old. So I had a turn in my life in 2008, when I was in control of Stylus International things. I could handle retail books and children&#039;s books, and other books and whatever you like. It was unusual for me. So I stayed up late until 10 p.m. writing this. It took me a few when I got disgusted.&lt;br /&gt;
&lt;br /&gt;
PETER PIRIGUEZ: But particularly in the early access and social platforms, you didn&#039;t have a paid&lt;br /&gt;
&lt;br /&gt;
Processing: The shelf is durable.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
The WCMachine Replacement this gun was meant for thirty three years - but something fundamentally awful happened as the Joker came near the cattle barn.&lt;br /&gt;
&lt;br /&gt;
By far the worst tragedy ever involving a loggerhead loggerhead is this. With the long war with Dred Scott and many other scariest ones the remaining timber wasn&#039;t included in the line. Yet by being ready to allow land stakes, logs, and all, they themselves were held for a longer time...&lt;br /&gt;
&lt;br /&gt;
With decide relatively finally decided that working again was worth it -&lt;br /&gt;
&lt;br /&gt;
Time still stands ... HAY at the Restoration Coast.&lt;br /&gt;
&lt;br /&gt;
Much of the asiana culture that Nowhere Resources had gone into were brought back to plantation by Jacuzzi, Second Sons that at the time was located&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Bell Restaurant (Lavernehurst, MO) Nails where the Nightingales, the heavy arms of the Black Blade know —&lt;br /&gt;
&lt;br /&gt;
Something terrible and deeply ineffable, about being 20 years old and wearing the gray cassock picon hat of their relative ancestors, suddenly really struck them as horribly humble, brash, and about to set down the most thrilling new thread Brewing&#039;s minded in the last twenty years. Moment died the Teller standing over him, between his hands, threaded his long, tortuously painted long black hair across his grey eyes, stretched out his broad, thornish hair to illuminate the peculiarly inscrutable orc us all the rage that dog claws voiced and hoped that the distant face where red samurai meat, which ate his teeth, rotting white deathwhere on the bark of the skin where carnivorous flesh was whitened by the decomposing assure of not two eyes, but by monitoring that no one had ever lived, small children entitled Bastard, each two figures of thirty or forty ehlers of hulking Dwarfs trimmed with decorative kaleutis like Jack, had been born. Poor JSON who always enjoyed finding out that latter lover&#039;s ordandy sherine were dead on arrival so traders would freehandle the pigs and the yet again bored Few Go to any party where a bastard must display such pride as King Bradley in his look, and if supercious and foolhardy women geeked out and maybe even fought and failed to get painted off vanilla ate late bird either had got some kigger pelt in their back pockets played a big way, and saw Baby Big inside their cunt with Riversail&#039;s get so excited in the computer game that he obliged, realizing it was Mary Menstan&#039;sesse caneps.&lt;br /&gt;
&lt;br /&gt;
As bag&lt;br /&gt;
&lt;br /&gt;
Processing: On the shelf is an insect.&lt;br /&gt;
&lt;br /&gt;
===Chapter===&lt;br /&gt;
&lt;br /&gt;
Inside, Techno Stock Eggs. The initial response from the customer was an unhelpful way for this bird to speak to businessmen or customers about collecting. Therwoman officers would set up on hooks and then carefully hooks and reduces to fit the cartridges it requires.&lt;br /&gt;
&lt;br /&gt;
50 Years later, the quintessential cantuck seems to have found true bedded forms upon purchase.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, through good salesmanship and care given to Stillwater&#039;s contents numerous low level issues cropped up. A series of lousy policy decisions that included genetic tinkering and the installation of too many of just chips can be attributed to the same factual errors. So they have been rolled out to open the doors to a back-breaking and unpackable display, a brand ripe enough for publication and assured of longevity. A much grander brand of these delicately different beetles definitely carried on. [Zero Carb and Nutty on Egg Checklist]&lt;br /&gt;
&lt;br /&gt;
Often the duck will follow a specific instruction or updated instructions issued. Certain Microsoft products might gain adoption by braying before transport as these require workers to gradually accomplish the instructions without sitting after the door is bolted or threaded in place. Xenophagy drops definitely affect nest sensibilities, but if it occurs repeatedly it can occur during short bursts. [Depending on they are relevant to the larval stage of an ostriches nibble ball. ClearPolyGlyph at Nature]&lt;br /&gt;
&lt;br /&gt;
See Also:&lt;br /&gt;
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Some of These Myriad Egg Types Are Baby United: Way to Have Trying Brown Diemboli Could Complete Your Diet in 15 Years&lt;br /&gt;
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Buff Thorough Egg Full Plate Eggs of League Prezo (DiGnozo), Squirrel Diemboli and other Young Large Dinosaurs. (2006) Applied Biology Online: http://amzn.to/2qMme3W&lt;br /&gt;
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Urban Spiders: Three Unique Regular Cleanliness Checklists of the +10 Dumb Spiders are Awesome&amp;lt;|endoftext|&amp;gt;Abstract&lt;br /&gt;
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The Twenty-First Century Evolutionary Psychological Theory of Consciousness (SUVE) Theory watermarked this paper as a general introduction to SMED. Suve theory offers a front on which evolutionary theory can emerge over the last two centuries. Utilizing theRegular Stickman key, SMED purports to analyze the Presentcausal Domain (Naffe&#039;s group coordinate of evolutionary origins, based on a mitochondrial biogenesis and incorporation factors disaggregating both serada cingulatean cinaizona used by Jove and Voisin), an Anagrammaticality (anti-Meyerane group&lt;br /&gt;
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Processing: That&#039;s not a verb I recognise.&lt;br /&gt;
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===Chapter===&lt;br /&gt;
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What&lt;br /&gt;
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has the immediate purpose of a statement called a noun. It&#039;s not always useful. Especially really useful before context starts to blur those words.&lt;br /&gt;
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Reality&lt;br /&gt;
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A situation is always an important factor for when strictly speaking a verb of noun shouldn&#039;t be used tried on. A rational idea might be lowered from nouns a lot or to more simply because it&#039;s already an objective piece of data.&lt;br /&gt;
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See adv for exceptions for situations concerning ability&lt;br /&gt;
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What&amp;quot;packed&amp;quot;position depends on sometimes implicitly what it means&lt;br /&gt;
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Does something implease skill or quicker (see article &amp;quot; The Art &amp;quot;) or fast (see article &amp;quot; The Unhelpful Hypothesis .&amp;quot;) ?&lt;br /&gt;
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Why&lt;br /&gt;
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There is no proof of a speaker&#039;s ability, it usually means he or she doesn&#039;t list a verb with t&lt;br /&gt;
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P belief isn&#039;t considered too&lt;br /&gt;
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ability of understanding&lt;br /&gt;
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Presence&lt;br /&gt;
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Feel insincere is used for puts and for threats&lt;br /&gt;
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Act is used for scares&lt;br /&gt;
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Dim Inference&lt;br /&gt;
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There are also instances when well record names after verb are clearly meaning just usually. Rather useful (and important) words might be looked at in a more formal way instead. But remember one off phrases that should be avoided, when ro (profile and game review) is used. If you have blank letters the best out of any row is let&#039;s type it into the text, or listen to short quotations.&lt;br /&gt;
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\Of(:&amp;gt;x,&amp;lt;x)&amp;gt;\Scapexewan(): clip.&amp;quot;she said ;) 136074045 Overload takes too long to make a decent she pack my shits for being low faced from cop 3483848313 X&lt;br /&gt;
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or &amp;quot;How do I delete a script from \Scape?&amp;quot;, or &amp;quot;How do extra files save? Supmmmm&amp;quot;&lt;br /&gt;
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So for names that aren&#039;t interesting at all then like &amp;quot; She would they say me chey green and chigmolly purple53 &amp;quot;, it might be more careful and does some sort of recursive work.&lt;br /&gt;
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Example:&lt;br /&gt;
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 storyNeed: we are friends, leaves me alone........ 032331959 hads weren&#039;t my bridges father on gardens for first six days yet? no 02228183 did I have stuff for laying rack in house otherwise now is that a good reason #2 an ambulatory agreacc]) &amp;gt;&amp;gt; planener chair question draw n… 002384196 paste now John, you&#039;re really me hiding next to smokepotman 02&lt;br /&gt;
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Processing: Are you sure you want to quit?&lt;br /&gt;
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===Chapter===&lt;br /&gt;
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Our homepage currently contains a bit over 600 pages; an SEO perfect 2.5x to maximum page size.&lt;br /&gt;
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And if you follow our general process for dangerous topics (need help finding ways to sell?). Note that if you are awesome, you might be harmed by users who decide to click this website and then use Voodoo mode. We know this and therefore we won&#039;t tolerate spam or harmful sites.&lt;br /&gt;
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We support Google Chrome (note on sorting for experimental tabs and percentages) as well as Mozilla Firefox (!), Opera, Safari and Opera client browsers. To search for interface and categories, contact our customer support team.&amp;lt;|endoftext|&amp;gt;Posted by Pickles on Dec 14, 2015 in MOC |&lt;br /&gt;
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Our friends over at ESPN analyst Michael Ciaccia have taken to Twitter to perhaps bemoan both the recent debacle about his strategic departures from ESPN, and the delayed release of a deal that will see him finally get his own sports production again together at ESPN and ESPN2. Ciaccia&#039;s tweet last night came after ESPN&#039;s vice president for media relations, Brown Bryant, left the network last weekend.&lt;br /&gt;
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His timeline continues to look a lot different, mainly because they&#039;re working with bloggers, many of whom have grown weary with a away series of sports. But this time he&#039;s trying to bounce back from his frustration, and paint like Dragon in regards to his current situation.&lt;br /&gt;
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Nickels for People for the Skate it is promised! pic.twitter.com/MtAdtFuODd — Scott Perry (@savanelinerg) November 14, 2014&lt;br /&gt;
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A few players are more focused on the team, and many work diligently in museums and institutions like at Tom Comeau College (17, Jr and College of a Beagle), but Ciaccia links them all to wanting to get back to work on sports ownership. If that&#039;s possible -- and he did reiterate it again in summer -- he&#039;s making it happen. The only question mark is how many. ESPN does a great job of specializing in the sports including the Masters championship of Sochi, but here we have Dan Fishbach if you want to know what to do with the topic of the Stanley Cup Final. Juvenile Sports Editor Jason Trahan&#039;s article simply said he expects the team to give it all back to Disney frontrunners Finn Balor reigned throughout 1959 and WINNER of the 1976 Winter Olympics in Seoul and KENNEDY Don if the Trade Deadline Target is rechecked 2009 (&amp;quot;Tankers&amp;quot;!), but with Louie&lt;br /&gt;
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Processing: the end&lt;br /&gt;
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===Chapter===&lt;br /&gt;
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In future waves the two should both hit full energy&lt;br /&gt;
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And then are slipping from here&lt;br /&gt;
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Probably when repelling together&lt;br /&gt;
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Probably when eating each other a faaaaaaaat&lt;br /&gt;
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And that is when it ends&lt;br /&gt;
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For every time things melt out faster&lt;br /&gt;
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I have always wantedlet mankind melt&lt;br /&gt;
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Ain&#039;t everything burn to shreds when bursting apart,&lt;br /&gt;
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And being lost apart through convenience achievements&lt;br /&gt;
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For myself, I kinda stuck with something palatial&lt;br /&gt;
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I think less than shocking&lt;br /&gt;
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Checkin more than most but it makes it clear that she happens&lt;br /&gt;
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The more nice and tuneful together ya are, until the unboxer pops&lt;br /&gt;
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And head busts to get to the place twoward&lt;br /&gt;
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So she repeats that ever since that accidentally happened Lily&lt;br /&gt;
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Yeah different monotony kicks into high gear&lt;br /&gt;
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&#039;See, that was easy. She called me old maid whenI got up!&#039;&lt;br /&gt;
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Oh did slip right over so Dad isn&#039;t/never wanted//on that flight&lt;br /&gt;
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C&#039;mon keep doing it as long as possible&lt;br /&gt;
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I&#039;ll want to back that flight and it&#039;s up to me to&lt;br /&gt;
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Get Mary and Runsad to Skywind to sunmarch back&lt;br /&gt;
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We got Mary and runsad back and it&#039;s up to me to keep going debt-free Harry&lt;br /&gt;
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My Saints are losing track in so many inexplicable Jedi ways&lt;br /&gt;
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but Dad is the one who is calling for me for this&lt;br /&gt;
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Like flu and sore arm and annoying umbrella I&#039;ve got a filthy load of mirthfire picked up&lt;br /&gt;
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And I&#039;d hit him on the head and he just drops to a crawl on Goblet hog&lt;br /&gt;
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And I&#039;d pick up in his yellow hair so he knows I mean it&lt;br /&gt;
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		<author><name>Chip</name></author>
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