Screening programs are often seen as one of the clearest wins in public health. Find disease earlier, intervene sooner, and improve outcomes. But what if some screening programs only appear effective because of bias, overdiagnosis, and misleading outcome measures?

In this episode, we break down why screening can fail, how lead-time bias and overdiagnosis distort interpretation, and why finding disease earlier is not the same as improving population health. If you care about prevention, public health policy, or epidemiologic evidence, this is a critical topic to understand.

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