Bayes' theorem reveals that medical test results are probabilistic, not binary. Using celiac disease testing as an example, a positive result with 93% sensitivity and 96% specificity actually means only a 19% chance of having the disease in the general population—an 80% false positive rate. The key insight is that test accuracy
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