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      The Worst-Motive Fallacy: A Negativity Bias in Motive Attribution

      1 , 2 , 3
      Psychological Science
      SAGE Publications

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          Abstract

          In this article, we describe a hitherto undocumented fallacy—in the sense of a mistake in reasoning—constituted by a negativity bias in the way that people attribute motives to others. We call this the “worst-motive fallacy,” and we conducted two experiments to investigate it. In Experiment 1 ( N = 323), participants expected protagonists in a variety of fictional vignettes to pursue courses of action that satisfy the protagonists’ worst motive, and furthermore, participants significantly expected the protagonist to pursue a worse course of action than they would prefer themselves. Experiment 2 ( N = 967) was a preregistered attempted replication of Experiment 1, including a bigger range of vignettes; the first effect was not replicated for the new vignettes tested but was for the original set. Also, we once again found that participants expected protagonists to be more likely than they were themselves to pursue courses of action that they considered morally bad. We discuss the worst-motive fallacy’s relation to other well-known biases as well as its possible evolutionary origins and its ethical (and meta-ethical) consequences.

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            Bad is stronger than good.

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              Determinants of social desirability bias in sensitive surveys: a literature review

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                Author and article information

                Journal
                Psychological Science
                Psychol Sci
                SAGE Publications
                0956-7976
                1467-9280
                October 21 2020
                : 095679762095449
                Affiliations
                [1 ]Department of Philosophy, University College Cork
                [2 ]Département d’Études Cognitives, École Normale Supérieure
                [3 ]School of Collective Intelligence, Université Mohammed VI Polytechnique
                Article
                10.1177/0956797620954492
                33085928
                f4114064-cfc5-48b0-853e-12dda8a06906
                © 2020

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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