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Misunderstanding Sample Size and Causal Explanations
Examining the common misconceptions around sample size and causal explanations using examples of kidney cancer rates and the sophomore jinx in baseball. Exploring the principle of statistical regression and how it applies to various situations, emphasizing the role of error and the regression to the mean.