The "observed power" trap after a null result
Your test comes back non-significant. A reviewer asks you to compute the study's power "using the effect size you actually observed" to show whether the null result is trustworthy.
Explain why post-hoc (observed) power is a statistical dead end, and what you should report instead.
Your answer
This one is open-ended. Work it through, then check your reasoning against the full solution.