~/talk

The Subtle Art of Lying with Statistics

slides:none on file

Shows concrete ways numbers mislead: arithmetic vs harmonic mean gives 1.56 versus 0.53 for the same dataset; geometric mean 1.01 and mode 1. Demonstrates range matters (Death Valley mean 16.1°C hides −5°C to 40°C) and identical means can have SD 3.3 or 44.8. Highlights sampling and selection tricks (tiny samples, 4/5 doctor stunt), graph manipulations like cutouts and log scale distortion, misleading percentages and data dredging (cherry‑picked 1997–2012 window) to create false claims.

AI-written summary · about

  1. 0:00Introduction and welcome
  2. 1:03Statistics can easily mislead
  3. 3:34Choosing the right mean
  4. 5:23Range and deviation matter
  5. 7:12Sample size and aggregation
  6. 8:17Bias in surveys
  7. 10:07Common types of bias
  8. 13:59Graphs can deceive
  9. 16:54Misleading visuals
  10. 18:16Percentage comparisons
  11. 19:43Pie charts and correlation
  12. 21:10Correlation vs causation
  13. 22:57Confounding variables
  14. 24:00Data dredging and p-hacking
  15. 26:29Political misrepresentation
  16. 28:22Question framing matters
  17. 29:05Unconscious bias
  18. 30:13Numbers and pretty pictures
  19. 30:56Q&A and closing
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