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Which effect does repeated independent evidence have on the odds?

  • A.The posterior odds approach the prior odds as evidence accumulates
  • B.Each observation replaces the effect of the one that preceded it
  • C.The likelihood ratios multiply together
  • D.The likelihood ratios are averaged across all of the observations

Answer: C

Independent observations contribute independent likelihood ratios, and the posterior odds are the prior odds times their product, which is why a sequence of weak clues can amount to strong evidence. Averaging, reversion to the prior and replacement all describe update rules that violate the axioms. Seeing the accumulation as a product also explains why an assumption of independence that is false leads to overconfidence so quickly.

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