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在一个大型美国概率样本中,数字能力与出于政治动机的推理之间没有关联。

No association between numerical ability and politically motivated reasoning in a large US probability sample.

机构信息

Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142.

出版信息

Proc Natl Acad Sci U S A. 2023 Aug 8;120(32):e2301491120. doi: 10.1073/pnas.2301491120. Epub 2023 Jul 31.

Abstract

The highly influential theory of "Motivated System 2 Reasoning" argues that analytical, deliberative ("System 2") reasoning is hijacked by identity when considering ideologically charged issues-leading people who are more likely to engage in such reasoning to be more polarized, rather than more accurate. Here, we fail to replicate the key empirical support for this theory across five contentious issues, using a large gold-standard nationally representative probability sample of Americans. While participants were more accurate in evaluating a contingency table when the outcome aligned with their politics (even when controlling for prior beliefs), we find that participants with higher numeracy were more accurate in evaluating the contingency table, regardless of whether or not the table's outcome aligned with their politics. These findings call for a reconsideration of the effect of identity on analytical reasoning.

摘要

“动机系统 2 推理”这一极具影响力的理论认为,当考虑意识形态问题时,分析性的、深思熟虑的(“系统 2”)推理会被身份认同所劫持,这导致那些更倾向于进行这种推理的人更加两极分化,而不是更加准确。在这里,我们在五个有争议的问题上未能复制这一理论的关键经验支持,使用了一个大型的、具有黄金标准的、全美代表性的概率样本。尽管当结果与参与者的政治立场一致时,他们在评估列联表时会更加准确(即使在控制了先验信念的情况下),但我们发现,无论列联表的结果是否与他们的政治立场一致,那些具有更高计算能力的参与者在评估列联表时会更加准确。这些发现呼吁重新考虑身份对分析推理的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc8c/10410746/b80948e7ef21/pnas.2301491120fig01.jpg

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