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    • The Johari Window
    • Total Quality
  • Critical Issues
    • Reading an Exploration
    • Mental Health in the Workplace – Preview
    • Climate Change & Social Determinants of Health
    • Cyberbullying – Student
    • Cyberbullying in the Workplace
    • Employee Monitoring
    • “Big Data” for College Education
    • Juvenile Diabetes
    • Nashville’s Rapid Growth
  • Example Explorations
    • Internet Gambling
    • School Violence
    • Youth Alcohol and Drugs
    • College Binge Drinking
    • Legalizing Marijuana in the U.S.
    • Sexual Harassment
  • Infomation Base
  • Research
  • Practice – Practice – Practice & Questions
  • AI – ChatGPT Experiments – Chat Bots
  • Scoop.it Topics

5 Statistical Traps Data Scientists Should Avoid

Jim Schreier Posted on November 11, 2019 Posted in Facilitation, Implications Wheel, Strategic Exploration Tools, Strategy Matrix, T.I.P.S. Tracking
5 Statistical Traps Data Scientists Should Avoid

This is a very interesting and relevant article for our Strategic Exploration Tools. The “Cobra Effect” discussion is particularly relevant because we focus on the value of the Implications Wheel to address these “unintended consequences.” Article Link

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“Isn’t it strange that while we pay so much attention to quality, we do not yet pay attention to the quality of our thinking.”

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“Isn’t it strange that while we pay so much attention to quality, we do not yet pay attention to the quality of our thinking.”

— Edward de Bono

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If you keep on thinking what you’ve always thought, you’ll keep on getting what you’ve always got.

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Copyright © 2026 Joel Barker, All Rights Reserved