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Confirmation Bias in a Simulated Research Environment: An Experimental Study of Scientific Inference

Mynatt, Clifford R., Doherty, Michael E., Tweney, Ryan D.·1977·Quarterly Journal of Experimental Psychology

Abstract

Numerous authors (e.g., Popper, 1959) argue that scientists should try to falsify rather than confirm theories. However, recent empirical work (Wason and Johnson-Laird, 1972) suggests the existence of a confirmation bias, at least on abstract problems. Using a more realistic, computer controlled environment modeled after a real research setting, subjects in this study first formulated hypotheses about the laws governing events occurring in the environment. They then chose between pairs of environments in which they could: (I) make observations which would probably confirm these hypotheses, or (2) test alternative hypotheses. Strong evidence for a confirmation bias involving failure to choose environments allowing tests of alternative hypotheses was found. However, when subjects did obtain explicit falsifying information, they used this information to reject incorrect hypotheses.

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Metadata

Authors
Mynatt, C. R., Doherty, M. E., & Tweney, R. D.
Venue
Quarterly Journal of Experimental Psychology
Published
1977-02
Volume
29
Issue
1
Pages
85-95
ISSN
0033-555X (ISSN-L)
OpenAlex
W2115704439
Cited by
513
References
0
FWCI
1.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Confirmation Bias in a Simulated Research Environment: An Experimental Study of Scientific Inference. https://app.cochat.ai/papers/10.1080/00335557743000053
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Mynatt, C. R., Doherty, M. E., & Tweney, R. D. (1977). Confirmation Bias in a Simulated Research Environment: An Experimental Study of Scientific Inference. Quarterly Journal of Experimental Psychology. https://doi.org/10.1080/00335557743000053

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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.