~/talk

How We Lie to Ourselves With Charts

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Explains concrete failure modes: the hockey‑stick claim shows reconstructed estimates plus uncertainty, the 2016 map misleads because area ≠ voters so a cartogram or electoral‑vote bar fixes it, national crime lines hide city‑level outliers, and cigarette scatterplots produce an ecological fallacy — disaggregate, show uncertainty, and count actual people. Names seven cognitive traps — patternicity, narrative, confirmation, rationalization, fear of complexity, moral blindness — and demands specific fixes and ethics, not platitudes.

AI-written summary · about

  1. 0:00Chart deception intro
  2. 1:02Data visualization reality
  3. 2:26Charts turn numbers to stories
  4. 5:16Hockey stick chart risks
  5. 7:05Charts in journalism
  6. 9:12Chart creators' duties
  7. 10:15Three chart myths debunked
  8. 11:39Charts as arguments
  9. 12:00Brain sees false patterns
  10. 14:07Randomness narratives danger
  11. 14:27Rural cancer rates myth
  12. 17:38Graphicacy and numeracy
  13. 19:01Misleading election map case
  14. 22:31Election maps by votes
  15. 24:40Averages hide complexity
  16. 27:29Fear of data complexity
  17. 28:33National averages lie
  18. 31:01Confirmation bias in charts
  19. 32:05Obamacare job chart fallacy
  20. 34:56Reasoning vs rationalization
  21. 36:20Smokers misread health charts
  22. 37:46Ecological fallacy & Simpson's paradox
  23. 39:32Ethics of sharing charts
  24. 41:00Books on critical thinking
  25. 42:43Charts build or destroy
  26. 43:46Verify shared charts
  27. 44:30Computation & journalism conf
  28. 45:14Q&A: Intentional vs accidental
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