15
Aug
2026
The Other Side of Bayes: Rethinking False Positives in Health Screening
Imagine screening 10,000 apparently healthy people for a disease that affects one person in a thousand. Let’s further assume the test is fairly good: 99% sensitive and 99% specific. (In case it’s been a while, this means the test detects 99% of true cases and correctly exonerates 99% of people without disease.) Ten of those 10,000 people will actually have... Read More
