Statistical power is one of the most familiar concepts in biostatistics and research design. It is supposed to help determine whether a study can detect a meaningful effect. But what if power is being used the wrong way after the study is already finished? 

In this episode, we break down what statistical power actually means, why post hoc power language often misleads, and why large or “well-powered” studies are not automatically strong evidence.

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