Journal article
The (forgotten) atomistic fallacy in political science and its implications for how we interpret elections
- Abstract:
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Improvements in the availability, accuracy, and processing of individual-level data have allowed political science literature to address the ‘ecological fallacy’, whereby inferences are made about individuals based on units of analyses operating at a higher level. Yet there has been limited attention to the risk that individual-level analyses may suffer from the reverse ‘atomistic’ – or ‘individualistic’ – fallacy: the erroneous practice of drawing inferences about national-level outcomes based on individual-level analyses. In this research note, we present a mathematical statement and simulations to diagnose and evaluate the extent of this fallacy in the case of voting behaviour. We also illustrate the problem using European Social Survey data on far-right voting. We conclude by identifying three ‘perils’ of the atomistic fallacy, related to extrapolating conclusions about a party’s overall performance from information about an individual’s voting propensity. These perils can significantly affect how researchers interpret election results and, in turn, the policy implications of political science research.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 354.3KB, Terms of use)
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- Publisher copy:
- 10.1017/S1475676526101315
Authors
- Publisher:
- Cambridge University Press
- Journal:
- European Journal of Political Research More from this journal
- Publication date:
- 2026-04-28
- Acceptance date:
- 2026-03-01
- DOI:
- EISSN:
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1475-6765
- ISSN:
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0304-4130
- Language:
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English
- Keywords:
- Pubs id:
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2406040
- Local pid:
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pubs:2406040
- Deposit date:
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2026-05-28
- ARK identifier:
Terms of use
- Copyright holder:
- Vlandas and Halikiopoulou
- Copyright date:
- 2026
- Rights statement:
- © The Author(s), 2026. Published by Cambridge University Press on behalf of European Consortium for Political Research. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
- Licence:
- CC Attribution (CC BY)
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