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What is the base rate fallacy?

  • A.Confusing the rate of an event with its total frequency
  • B.Using an outdated base rate that no longer applies
  • C.Ignoring the prior probability when interpreting evidence
  • D.Assuming the base rate is the same in every population

Answer: C

The fallacy reports the likelihood as though it were the posterior, so a ninety nine per cent accurate test for a rare condition is taken to mean a positive result is ninety nine per cent reliable. The prior is what makes the true figure so much lower. The other options describe different errors about base rates. An error that arises from conflating two conditional probabilities pointing in opposite directions is best cured by writing both down explicitly.

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