This printable handbook explains eight common mistakes people make when collecting and interpreting data: Selection Bias, Regression to the Mean, Correlation and Causation, Clustering Illusion, Gambler’s Fallacy, Base Rate Fallacy, Survivorship Bias and Simpson’s Paradox.
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