The medical test paradox, and redesigning Bayes' rule
Overview
3Blue1Brown explains why positive results on accurate medical tests are often false positives, and reframes Bayes' rule using likelihood ratios (Bayes factors) to update odds. It uses visual examples to make the reasoning intuitive.
On Hacker News
HN's go-to link whenever Bayesian reasoning, base rates or imperfect tests come up.
Topics
Sources
Video by 3Blue1Brown, played through YouTube.
Data and selection notes
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