Ironically, low statistical power doesn’t only mean real effects can be missed. It also means false effects are more likely to be reported as real, or real effe

Ironically, low statistical power doesn’t only mean real effects can be missed. It also means false effects are more likely to be reported as real, or real effects exaggerated. That is wrong, or at least misleading. If we fix statistical significance, then changing the power of the test won't change the number of false effects that get through. Low power only changes the situation by causing us to relax our standards for significance. While I'm sure this happens, the real problem is how we interpret significance, not the power of the tests.