This chapter discusses the familiar difficulties originating from Newcomb's problem. Those problems gave rise to “causal decision theory”, which differs from classical decision theory in the manner in which probabilities enter into the definition of expected value. This chapter proposes that one can replace the appeal to causal dependence by appeal to temporal relations and statistical relevance between mixed physical/epistemic probabilities. The basic idea is simply that causes propagate through the world in temporal order. The resulting analysis handles the known counterexamples to classical decision theory in essentially the same way Skymis' theory does, but without appealing to vaguely understood concepts like causal dependence.
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