Abstract
In this note I describe simple logic behind COVID-19 mass testing, which explains why any underlying policy is economically unsubstantiated. The application of basic probability theory shows that unless the testing accuracy is close to a hundred percent, even a small number of false positives introduces significant bias into random tests making them extremely unreliable.
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