The Dunning-Kruger effect is the finding that low scorers overestimate their performance. The pattern replicates, but its usual explanation is disputed, and some researchers call it a statistical artifact.
Starter thread · AI-reviewed against its sources
A large 2015 project replicated only about a third of 100 studies with significant results, but experts disagree on what this shows. Seriousness varies by subfield and method.
Starter thread · AI-reviewed against its sources
Extreme measurements tend to be followed by more average ones because chance helped produce them. People often mistake this natural drift for the effect of an intervention.
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P-hacking is running many analyses or tweaking choices until a result looks statistically significant, then reporting it selectively. This inflates false positives.
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Random assignment balances known and unknown differences between groups, so differences in outcomes can be attributed to the treatment. The design has costs and limits.
Starter thread · AI-reviewed against its sources
