AI Article Synopsis

  • - People prefer simple explanations over complex ones because it aligns with a general inclination to complete tasks efficiently.
  • - In a study involving 2820 participants, individuals favored simple methods for achieving outcomes, regardless of whether they were evaluating explanations or process methods.
  • - When presented with statistical information about the reliability of causal elements, participants' preference for simple explanations decreased or even reversed, suggesting a link between how we assess explanations and goal completion methods.

Article Abstract

People often find simple explanations more satisfying than complex ones. Across seven preregistered experiments, we provide evidence that this simplicity preference is not specific to explanations and may instead arises from a broader tendency to prefer completing goals in efficient ways. In each experiment, participants (total N=2820) learned of simple and complex methods for producing an outcome, and judged which was more appealing-either as an explanation why the outcome happened, or as a process for producing it. Participants showed similar preferences across judgments. They preferred simple methods as explanations and processes in tasks with no statistical information about the reliability or pervasiveness of causal elements. But when this statistical information was provided, preferences for simple causes often diminished and reversed in both kinds of judgments. Together, these findings suggest that people may assess explanations much in the same ways they assess methods for completing goals, and that both kinds of judgments depend on the same cognitive mechanisms.

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Source
http://dx.doi.org/10.1016/j.cogpsych.2024.101692DOI Listing

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