“…In some respects, the Yule-Simpson Paradox relates to the power and sensitivity of given statistical tests, and how these qualities (may) relate to sample size. The Paradox also relates to a broader literature on information aggregation and paradoxes in which more information is not always revealed to result in better (expected) outcomes [see, e.g., Kaufmann and Weber [41], Koessler et al [42], Bennouri et al [43], Axelrod et al [44], Hanson et al [45]]. Of course, information aggregation paradoxes may be symptomatic of the decision-maker, of the information aggregation mechanism, or of both.…”