Bayes' Theorem

A disease affects 1 in 1000 people. A test is 99% accurate. You test positive. Most people panic, assuming a 99% chance they're sick. The real answer is closer to 9%. The test is great — but the disease is so rare that the few healthy people who get false positives still outnumber the genuinely sick. Bayes' theorem untangles exactly this.