False Positives in Rare Tests

The False Positive Paradox describes situations where a "highly accurate" test becomes nearly useless when applied to rare conditions. For example, if only 10 people in a city of 20 million are "bad actors" and a surveillance system has 99% accuracy, 99.995% of its positive identifications will be false.

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