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平等的魅力:概率与统计判断中的一致性

The allure of equality: uniformity in probabilistic and statistical judgment.

作者信息

Falk Ruma, Lann Avital

机构信息

Department of Psychology and School of Education, The Hebrew University of Jerusalem, 3 Guatemal Street, Apartment 718, 96704 Jerusalem, Israel.

出版信息

Cogn Psychol. 2008 Dec;57(4):293-334. doi: 10.1016/j.cogpsych.2008.02.002. Epub 2008 May 5.

Abstract

Uniformity, that is, equiprobability of all available options is central as a theoretical presupposition and as a computational tool in probability theory. It is justified only when applied to an appropriate sample space. In five studies, we posed diversified problems that called for unequal probabilities or weights to be assigned to the given units. The predominant response was choice of equal probabilities and weights. Many participants failed the task of partitioning the possibilities into elements that justify uniformity. The uniformity fallacy proved compelling and robust across varied content areas, tasks, and cases in which the correct weights should either have been directly or inversely proportional to their respective values. Debiasing measures included presenting individualized and visual data and asking for extreme comparisons. The preference of uniformity obtains across several contexts. It seems to serve as an anchor also in mathematical and social judgments. People's pervasive partiality for uniformity is explained as a quest for fairness and symmetry, and possibly in terms of expediency.

摘要

均匀性,即所有可用选项的等概率性,作为一种理论预设和概率论中的计算工具至关重要。只有应用于适当的样本空间时,它才是合理的。在五项研究中,我们提出了各种问题,这些问题要求对给定单位赋予不等的概率或权重。主要的反应是选择相等的概率和权重。许多参与者未能完成将可能性划分为证明均匀性合理的元素的任务。在各种内容领域、任务以及正确权重应与各自值成正比或反比的情况下,均匀性谬误都被证明具有说服力且很顽固。去偏措施包括呈现个性化和可视化数据以及要求进行极端比较。对均匀性的偏好存在于多种情境中。它似乎在数学和社会判断中也起到了锚定作用。人们对均匀性的普遍偏爱被解释为对公平和对称的追求,也可能是出于便利的考虑。

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