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P-Hacking and Other Statistical Sins
A recent article in Nature magazine by Regina Nuzzo reviews all the current woes with statistical analysis in scientific papers. It also taught be a new term – P-hacking, which is essentially working the data until you reach the goal of a P-value of 0.05. . The ProblemIn a word, the big problem with the way statistical analysis is often done today is the dreaded P-value. The reason is that P-values do not consider many other important variables, like prior probability, effect size, confidence intervals, and alternative hypotheses. Their studies reek of P-hacking, generally have tiny effect sizes, and there is no consistent pattern of replication (just chasing different quirky results).
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