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The Flatland Fallacy: Moving Beyond Low–Dimensional Thinking

Psychology is a complicated science. It has no general axioms or mathematical proofs, is rarely directly observable, and is the only discipline in which the subject matter (i.e., human psychological phenomena) is also the tool of investigation. Like the Flatlanders in Edwin Abbot's famous short...

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Detalles Bibliográficos
Autores principales: Jolly, Eshin, Chang, Luke J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519046/
https://www.ncbi.nlm.nih.gov/pubmed/30576066
http://dx.doi.org/10.1111/tops.12404
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author Jolly, Eshin
Chang, Luke J.
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Chang, Luke J.
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description Psychology is a complicated science. It has no general axioms or mathematical proofs, is rarely directly observable, and is the only discipline in which the subject matter (i.e., human psychological phenomena) is also the tool of investigation. Like the Flatlanders in Edwin Abbot's famous short story (1884), we may be led to believe that the parsimony offered by our low‐dimensional theories reflects the reality of a much higher‐dimensional problem. Here we contend that this “Flatland fallacy” leads us to seek out simplified explanations of complex phenomena, limiting our capacity as scientists to build and communicate useful models of human psychology. We suggest that this fallacy can be overcome through (a) the use of quantitative models, which force researchers to formalize their theories to overcome this fallacy, and (b) improved quantitative training, which can build new norms for conducting psychological research.
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spelling pubmed-65190462019-05-21 The Flatland Fallacy: Moving Beyond Low–Dimensional Thinking Jolly, Eshin Chang, Luke J. Top Cogn Sci Computational Approaches to Social Cognition Editors: Fiery A. Cushman and Samuel J. Gershman Psychology is a complicated science. It has no general axioms or mathematical proofs, is rarely directly observable, and is the only discipline in which the subject matter (i.e., human psychological phenomena) is also the tool of investigation. Like the Flatlanders in Edwin Abbot's famous short story (1884), we may be led to believe that the parsimony offered by our low‐dimensional theories reflects the reality of a much higher‐dimensional problem. Here we contend that this “Flatland fallacy” leads us to seek out simplified explanations of complex phenomena, limiting our capacity as scientists to build and communicate useful models of human psychology. We suggest that this fallacy can be overcome through (a) the use of quantitative models, which force researchers to formalize their theories to overcome this fallacy, and (b) improved quantitative training, which can build new norms for conducting psychological research. John Wiley and Sons Inc. 2018-12-21 2019-04 /pmc/articles/PMC6519046/ /pubmed/30576066 http://dx.doi.org/10.1111/tops.12404 Text en © 2018 The Authors Topics in Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Approaches to Social Cognition Editors: Fiery A. Cushman and Samuel J. Gershman
Jolly, Eshin
Chang, Luke J.
The Flatland Fallacy: Moving Beyond Low–Dimensional Thinking
title The Flatland Fallacy: Moving Beyond Low–Dimensional Thinking
title_full The Flatland Fallacy: Moving Beyond Low–Dimensional Thinking
title_fullStr The Flatland Fallacy: Moving Beyond Low–Dimensional Thinking
title_full_unstemmed The Flatland Fallacy: Moving Beyond Low–Dimensional Thinking
title_short The Flatland Fallacy: Moving Beyond Low–Dimensional Thinking
title_sort flatland fallacy: moving beyond low–dimensional thinking
topic Computational Approaches to Social Cognition Editors: Fiery A. Cushman and Samuel J. Gershman
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519046/
https://www.ncbi.nlm.nih.gov/pubmed/30576066
http://dx.doi.org/10.1111/tops.12404
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