~/talk

The subtle art of misleading with Statistics

Talkat Monitorama PDX 2024 · 2024-06-10..06-12· [observability, data-engineering]
slides:none on file

Shows concrete tricks and real numbers: switching between arithmetic vs harmonic mean turns 1.56 hours into 0.53 hours; two samples with SD 3.3 ms and 44.8 ms look similar until you see ranges; surveys of five people produce “4 of 5 doctors” or a 50/50 Terraform/OpenTofu claim; charts use y-axis truncation and one‑dimensional images to amplify a 71→82 change; examples include turned‑off QA tests, pie charts from multi‑select data and data dredging that yields spurious correlations.

AI-written summary · about

  1. 0:00Introduction to misleading statistics
  2. 1:03Averages and misleading metrics
  3. 3:54Standard deviation and data spread
  4. 5:19Sampling size and bias
  5. 7:27Types of survey bias
  6. 11:46Manipulating graphs and charts
  7. 16:22Pie charts and pie chart flaws
  8. 17:25Correlation vs causation
  9. 20:54Data dredging and p-hacking
  10. 23:42Political misuse of statistics
  11. 26:39Responsible data presentation
  12. 28:03Q&A on statistical scales
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