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The cover of Everything Is Predictable

Everything Is Predictable

Learn why prediction is unavoidable, how Bayesian reasoning updates uncertain beliefs, and where its tools clarify medicine, science, judgment, perception, and everyday decisions.

9 parts, about 22 minutes to read.

Why read it

  • Shows how one rule for updating beliefs, Bayes's theorem, links medical tests, courtrooms, science, forecasting and even perception
  • Teaches you to ask about base rates and what evidence would change your mind before trusting a positive test or a striking study
  • Tom Chivers mixes history, worked examples and interviews, and keeps saying where Bayesian claims about the brain remain unproven

Who it is for

  • Anyone who reads medical test results or research headlines
  • Scientists and analysts puzzled by p values and replication failures
  • Forecasters and decision makers working under uncertainty

What the summary covers

  1. Prediction begins with uncertainty2 min
  2. From games of chance to Bayes3 min
  3. Two statistical questions3 min
  4. Science at the significance cliff3 min
  5. Belief becomes decision3 min
  6. Prediction can build a model1 min
  7. Bayes in ordinary reasoning3 min
  8. The brain as a prediction system3 min
  9. Useful models, revisable beliefs1 min

Recommended by

  • Oliver BurkemanAuthor of Four Thousand Weeks
    Fascinating, witty and perspective-shifting
  • Tim HarfordEconomist and author of The Undercover Economist
    Witty, lively and best of all, extremely nerdy. I learned a lot and so will you
  • Will StorrBritish journalist and author
    A remarkable book about a remarkable theorem
  • Oliver BurkemanAuthor of Four Thousand Weeks
    Fascinating, witty and perspective-shifting
  • Will StorrBritish journalist and author
    A remarkable book about a remarkable theorem

About the author

  • Tom ChiversScience writer at Semafor
    • Previously worked at the i, UnHerd, BuzzFeed and the Telegraph
    • Won the Royal Statistical Society award for statistical excellence in journalism in 2018 and 2020, and the ABSW science journalist of the year in 2021

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