Childhood Origins of Adult Resistance to Science
Abstract
Resistance to certain scientific ideas derives in large part from assumptions and biases that can be demonstrated experimentally in young children and that may persist into adulthood. In particular, both adults and children resist acquiring scientific information that clashes with common-sense intuitions about the physical and psychological domains. Additionally, when learning information from other people, both adults and children are sensitive to the trustworthiness of the source of that information. Resistance to science, then, is particularly exaggerated in societies where nonscientific ideologies have the advantages of being both grounded in common sense and transmitted by trustworthy sources.
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Although previous scholars had noted difficulties posed by false beliefs students bring into the classroom, very little prior research clearly demonstrates their relationship to learning.
“Although previous scholars had noted the difficulties posed by false beliefs that students bring into the classroom (e.g., Bloom & Weisberg, 2007;McDevitt & Ormrod, 2008), very little prior research clearly demonstrates its relationship to learning.”
From Lessons from the field: Isn't it just common sense? Naïve realism as a barrier to learning (2024) · cites this paper as Bloom & Weisberg, 2007
Resistance to science when it conflicts with beliefs derived from personal experiences is developmentally normal but creates a barrier to learning.
“A resistance to science when it conflicts with beliefs derived from personal experiences is developmentally normal, but creates a barrier to learning (Bloom & Weisberg, 2007).”
From Lessons from the field: Isn't it just common sense? Naïve realism as a barrier to learning (2024) · cites this paper as Bloom & Weisberg, 2007
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Should Intelligent Design be Taught in Public School Science Classrooms?
Plutynski, A. (2008) · Science & Education · doi:10.1007/s11191-008-9169-z · Cited by 11 · see citing works
Sakai, D., Itoh, H., & Yukimoto, S. (2009) · Journal of the Meteorological Society of Japan Ser II · doi:10.2151/jmsj.87.721 · Cited by 11 · see citing works
Rejecting D arwin and Support for Science Funding
Freeman, P. K., & Houston, D. J. (2011) · Social Science Quarterly · doi:10.1111/j.1540-6237.2011.00812.x · Cited by 10 · see citing works
Authentic Science with Live Organisms Can Improve Evolution Education
Broder, E. D., Angeloni, L. M., Simmons, S. Y., Warren, S., Knudson, K. D., & Ghalambor, C. K. (2018) · The American Biology Teacher · doi:10.1525/abt.2018.80.2.116 · Cited by 10 · see citing works
Trémolière, B., & Djeriouat, H. (2019) · Personality and Individual Differences · doi:10.1016/j.paid.2019.03.025 · Cited by 10 · see citing works
Neurohype: A field guide to exaggerated brain-based claims.
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Die Struktur professionellen Wissens
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- Authors
- Bloom, P., & Weisberg, D. S.
- Affiliations
- Yale University (US)
- Venue
- Science
- Published
- 2007-05-18
- Volume
- 316
- Issue
- 5827
- Pages
- 996-997
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2033699840
- Cited by
- 210
- References
- 32
- Citations by year
- 2026: 1 · 2025: 9 · 2024: 4 · 2023: 3 · 2022: 5 · 2021: 7 · 2020: 9 · 2019: 4 · 2018: 36 · 2017: 9 · 2016: 4 · 2015: 16 · 2014: 8 · 2013: 14 · 2012: 18
- FWCI
- 10.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Education › Science Education and Pedagogy
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Evolution and Science Education
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- scientific literacy, cognitive biases, child development, trust in information sources, misinformation, pseudoscience, ideology
- MeSH terms
- Adult, Brain, Child, Culture, Biological Evolution, Humans, Learning, Neurosciences, Psychology, Science, United States, Intuition, Trust
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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