How Should We Critique Research? · Gwern.net
Criticizing studies and statistics is hard in part because so many criticisms are possible, rendering them meaningless. What makes a good criticism is the chance of being a ‘difference which makes a difference’ to our ultimate actions. epistemology, Bayes, scientific bias, causality, decision theory Scientific and statistical research must be read with a critical eye to understand how credible the claims are. The Reproducibility Crisis and the growth of meta-science have demonstrated that much research is of low quality and often false. But there are so many possible things any given study could be criticized for, falling short of an unobtainable ideal, that it becomes unclear which possible criticism is important, and they may degenerate into mere rhetoric. How do we separate fatal flaws from unfortunate caveats from specious quibbling? I offer a pragmatic criterion: what makes a criticism important is how much it could change a resu
--- title: How Should We Critique Research? description: Criticizing studies and statistics is hard in part because so many criticisms are possible, rendering them meaningless. What makes a good criticism is the chance of being a 'difference which makes a difference' to our ultimate actions. created: 2019-05-19 modified: 2019-07-07 status: finished confidence: highly likely importance: 8 css-extension: dropcaps-kanzlei ... > Scientific and statistical research must be read with a critical eye to understand how credible the claims are. The Reproducibility Crisis and the growth of meta-science h
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