Literature DB >> 21264612

Harry Potter and the sorcerer's scope: latent scope biases in explanatory reasoning.

Sangeet S Khemlani1, Abigail B Sussman, Daniel M Oppenheimer.   

Abstract

What makes a good explanation? We examine the function of latent scope, i.e., the number of unobserved phenomena that an explanation can account for. We show that individuals prefer narrow latent scope explanations-those that account for fewer unobserved effects-to broader explanations. In Experiments 1a-d, participants found narrow latent scope explanations to be both more satisfying and more likely. In Experiment 2 we directly manipulated base rate information and again found a preference for narrow latent scope explanations. Participants in Experiment 3 evaluated more natural explanations of unexpected observations, and again displayed a bias for narrow latent scope explanations. We conclude by considering what this novel bias tells us about how humans evaluate explanations and engage in causal reasoning.

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Year:  2011        PMID: 21264612     DOI: 10.3758/s13421-010-0028-1

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  8 in total

1.  Effect of theory-based feature correlations on typicality judgments.

Authors:  Woo-Kyoung Ahn; Jessecae K Marsh; Christian C Luhmann; Kevin Lee
Journal:  Mem Cognit       Date:  2002-01

2.  Simplicity: a unifying principle in cognitive science?

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Journal:  Trends Cogn Sci       Date:  2003-01       Impact factor: 20.229

3.  Reasoning from inconsistency to consistency.

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Journal:  Psychol Rev       Date:  2004-07       Impact factor: 8.934

Review 4.  Explanation and understanding.

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Journal:  Annu Rev Psychol       Date:  2006       Impact factor: 24.137

5.  Simplicity and probability in causal explanation.

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Journal:  Cogn Psychol       Date:  2006-11-09       Impact factor: 3.468

Review 6.  Reconciling simplicity and likelihood principles in perceptual organization.

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Journal:  Psychol Rev       Date:  1996-07       Impact factor: 8.934

7.  Explanations versus applications: the explanatory power of valuable beliefs.

Authors:  Jesse Preston; Nicholas Epley
Journal:  Psychol Sci       Date:  2005-10

8.  The locus of knowledge effects in concept learning.

Authors:  G L Murphy; P D Allopenna
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1994-07       Impact factor: 3.051

  8 in total
  8 in total

1.  Causal inference and the hierarchical structure of experience.

Authors:  Samuel G B Johnson; Frank C Keil
Journal:  J Exp Psychol Gen       Date:  2014-10-27

2.  Evaluating everyday explanations.

Authors:  Jeffrey C Zemla; Steven Sloman; Christos Bechlivanidis; David A Lagnado
Journal:  Psychon Bull Rev       Date:  2017-10

3.  Trust in Institutions, Not in Political Leaders, Determines Compliance in COVID-19 Prevention Measures within Societies across the Globe.

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Review 4.  Causal reasoning with mental models.

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Journal:  Front Hum Neurosci       Date:  2014-10-28       Impact factor: 3.169

5.  Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical Relevance.

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Journal:  Front Psychol       Date:  2017-09-04

6.  Explanatory preferences for complexity matching.

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Journal:  PLoS One       Date:  2020-04-21       Impact factor: 3.240

7.  How Does Explanatory Virtue Determine Probability Estimation?-Empirical Discussion on Effect of Instruction.

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Journal:  Front Psychol       Date:  2020-12-09

8.  Explanations and Causal Judgments Are Differentially Sensitive to Covariation and Mechanism Information.

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  8 in total

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