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The Seductive Allure of Neuroscience Explanations

Open access
Weisberg, Deena Skolnick, Keil, Frank C., Goodstein, Joshua, Rawson, Elizabeth, Gray, Jeremy R.·2008·Journal of Cognitive Neuroscience

Abstract

Explanations of psychological phenomena seem to generate more public interest when they contain neuroscientific information. Even irrelevant neuroscience information in an explanation of a psychological phenomenon may interfere with people's abilities to critically consider the underlying logic of this explanation. We tested this hypothesis by giving naïve adults, students in a neuroscience course, and neuroscience experts brief descriptions of psychological phenomena followed by one of four types of explanation, according to a 2 (good explanation vs. bad explanation) × 2 (without neuroscience vs. with neuroscience) design. Crucially, the neuroscience information was irrelevant to the logic of the explanation, as confirmed by the expert subjects. Subjects in all three groups judged good explanations as more satisfying than bad ones. But subjects in the two nonexpert groups additionally judged that explanations with logically irrelevant neuroscience information were more satisfying than explanations without. The neuroscience information had a particularly striking effect on nonexperts' judgments of bad explanations, masking otherwise salient problems in these explanations.

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Metadata

Authors
Weisberg, D. S., Keil, F. C., Goodstein, J., Rawson, E., & Gray, J. R.
Venue
Journal of Cognitive Neuroscience
Published
2008-03-01
Volume
20
Issue
3
Pages
470-477
ISSN
  • 0898-929X (ISSN-L)
  • 1530-8898
OpenAlex
W2099908396
Cited by
1,063
References
5
FWCI
14.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Seductive Allure of Neuroscience Explanations. https://app.cochat.ai/papers/10.1162/jocn.2008.20040
The paper
Weisberg, D. S., Keil, F. C., Goodstein, J., Rawson, E., & Gray, J. R. (2008). The Seductive Allure of Neuroscience Explanations. Journal of Cognitive Neuroscience. https://doi.org/10.1162/jocn.2008.20040

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.