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Causal Asymmetries

Hausman, Daniel M.

Cambridge Studies in Probability, Induction and Decision Theory

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Causation is asymmetrical in many different ways. Causes precede effects; explanations cite causes not effects. Agents use causes to manipulate their effects; they don't use effects to manipulate their causes. Effects of a common cause are correlated; causes of a common effect are not. This is a major book for philosophers of science that will also prove insightful to economists and statisticians.

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