Stochastic Independence and Causal Connection

Erkenntnis:1-23 (forthcoming)
Assumptions of stochastic independence are crucial to statistical models in science. Under what circumstances is it reasonable to suppose that two events are independent? When they are not causally or logically connected, so the standard story goes. But scientific models frequently treat causally dependent events as stochastically independent, raising the question whether there are kinds of causal connection that do not undermine stochastic independence. This paper provides one piece of an answer to this question, treating the simple case of two tossed coins with and without a midair collision.
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DOI 10.1007/s10670-014-9682-1
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References found in this work BETA
Gilbert Harman (1973). Thought. Princeton University Press.
Michael Strevens (2011). Probability Out Of Determinism. In Claus Beisbart & Stephan Hartmann (eds.), Probabilities in Physics. Oxford University Press 339--364.

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