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306 M. Hoffman et al. publicized self-immolation, and not a breach of a threshold in, say, the quality of life of citizens or the level of corruption. This explanation requires simply that we rec- ognize revolutions as a coordination problem (as argued in Morris & Shin, 2002; Chwe, 2013), where each revolutionary chooses whether to revolt, and each is better off revolting only if sufficiently many others revolt. Quirks of Altruism and the Repeated Prisoner’s Dilemma with Incomplete Information The Repeated Prisoner's Dilemma has famously been used as an explanation for the evolution of cooperation among non-kin (Axelrod & Hamilton, 1981; Dawkins, 2006; Pinker, 2003; Trivers, 1971). In this section, we show how the same basic model can be used to explain many of the quirky features of our pro-social prefer- ences and ideologies. Recall that in the Prisoner’s Dilemma, each of two players simultaneously chooses whether to cooperate. Cooperation reduces a player’s own payoffs by c>0 while increasing the other’s payoffs by b>c. The only Nash equilibrium is for nei- ther player to cooperate. In the Repeated Prisoner’s Dilemma, the players play a string of Prisoner’s Dilemmas. That is, after the players play a Prisoner’s Dilemma, they learn what their opponent did and play another Prisoner’s Dilemma against the same opponent with probability 6 (and the game ends with probability 1-6). As is well known in the evolutionary literature, there are equilibria in which players end up cooperating, provided 6>c/b. In all such equilibria, cooperation is sustained because any defection by one player causes the other player to defect. This is called reciprocity. As the reader is surely familiar, there is ample evidence for the Repeated Prisoner’s Dilemma as a basis for cooperation from computer simulations (e.g., Axelrod, 1984) and animal behavior (e.g., Wilkinson, 1984). The model can be extended to explain contributions to public goods if, after deciding whether to con- trib

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