Tests aren’t perfect, and Bayes’ Theorem explains why. A test result’s accuracy depends on how common the disease is before testing. Even a “positive” test can be misleading if the disease is rare. Understanding this helps us avoid overdiagnosis and make smarter clinical decisions.
