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Statistics, understood

For Students, professionals, founders, PMs, and AI-assisted builders who see charts, reports, experiments, or forecasts and need to judge whether the conclusions follow. Everyday arithmetic assumed; no statistics or code. · 15 days · Concepts

A 15-day course
One short lesson a day · go at your own pace
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The days
Listen to the whole course · 77 min
  1. 1Read the claim before the numberBy the end you can separate a numerical claim into its measure, comparison, population, period, and conclusion. Listen · 5 min
  2. 2Choose the right averageBy the end you can choose between mean and median when an extreme value distorts what “typical” means. Listen · 5 min
  3. 3Notice the denominatorBy the end you can convert a count into a rate and identify the denominator needed for a fair comparison. Listen · 5 min
  4. 4Separate percent from percentage pointsBy the end you can calculate and explain the difference between relative percent change and percentage-point change. Listen · 5 min
  5. 5See the spread, not only centerBy the end you can compare two distributions that share a center but differ in spread. Listen · 5 min
  6. 6Test whether the sample represents realityBy the end you can identify how a sample was selected and explain whether it represents the population in a claim. Listen · 5 min
  7. 7Separate correlation from causationBy the end you can distinguish correlation from causation and propose plausible alternative explanations. Listen · 5 min
  8. 8Use probability without pretending certaintyBy the end you can interpret an observed success rate as evidence about uncertainty rather than a guarantee about the next event. Listen · 5 min
  9. 9Respect the base rateBy the end you can combine prevalence, sensitivity, and false-positive rate to interpret an alert. Listen · 5 min
  10. 10Read confidence as a rangeBy the end you can explain why an estimate from a sample needs an uncertainty range and compare wider with narrower ranges. Listen · 5 min
  11. 11Judge an experiment fairlyBy the end you can inspect an experiment's assignment, comparison, outcome, and stopping rule before accepting its result. Listen · 5 min
  12. 12Expect regression toward the meanBy the end you can recognize regression toward the mean and avoid crediting an intervention for a likely return from an extreme result. Listen · 5 min
  13. 13Catch a misleading chartBy the end you can inspect axes, intervals, omitted values, and visual area before trusting a chart's apparent magnitude. Listen · 5 min
  14. 14Treat forecasts as rangesBy the end you can turn a point forecast into scenarios with explicit assumptions and uncertainty. Listen · 5 min
  15. 15Audit an AI-generated analysisBy the end you can audit an AI-generated analysis for claim strength, fair comparison, uncertainty, and decision consequences. Listen · 6 min