Correlation Neglect, Voting Behavior, and Information Aggregation
研究发现，当选民低估信息来源之间的相关性时，这种认知偏差反而可能改善政治结果，促使部分选民基于信息而非政治偏好投票，从而提升最优政策的得票率和信息聚合效率。
In this paper we analyze elections when voters underestimate the correlation between their information sources (“correlation neglect”). We find that this cognitive bias can improve political outcomes. We show that the extreme beliefs which result from correlation neglect induce some voters to base their vote on information rather than on political preferences. We characterize conditions on the distribution of preferences under which this induces higher vote shares for the optimal policies and better information aggregation.