Evidence map›Paper›PMID 39915365›Full record

ArticleCognitive processing2025

Breaking through the 'wall of complexity' in a politically themed microworld: a challenge for elected officials and the general public.

Benoît Béchard, Helen M Hodgetts, Gabrielle Teyssier-Roberge, Frédéric Morneau-Guérin, Mathieu Ouimet, Sébastien Tremblay

Abstract read
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In one paragraph

Article in Cognitive processing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Benoît BéchardSchool of Psychology, Université Laval, Pavillon Félix-Antoine-Savard, 2325, Rue Des Bibliothèques, Québec, QC, G1V 0A6, Canada. benoit.bechard.1@ulaval.ca.ORCID http://orcid.org/0000-0003-0729-9941
Helen M HodgettsSchool of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, Wales, UK.
Gabrielle Teyssier-RobergeÉcole nationale d'administration publique (ENAP), Québec, QC, Canada.
Frédéric Morneau-GuérinDepartment Education, Université TÉLUQ, Québec, QC, Canada.
Mathieu OuimetDepartment of Political Science, Université Laval, Québec, QC, Canada.
Sébastien TremblaySchool of Psychology, Université Laval, Pavillon Félix-Antoine-Savard, 2325, Rue Des Bibliothèques, Québec, QC, G1V 0A6, Canada.

Funding

Social Sciences and Humanities Research Council 435-2021-1011
6 · The paper itself

Abstract

Political leaders are often regarded as the most qualified individuals to address modern societal challenges, owing to the knowledge they acquire through their experience in dealing with complex issues, governance and management, and working towards making impactful decisions. To understand the influence of prior knowledge on decision-making, we conducted a comparative analysis of complex decision-making performance in a politically themed computer-simulated microworld involving incumbent elected officials and a general population sample, each contrasted with a random-response baseline produced with randomly generated decisions. Participants were tasked to govern a country for re-election while maintaining financial stability. The pattern of results suggests that decision-making faces a 'wall of complexity' whether one is an elected official or a citizen. Although elected officials generally reported having greater political knowledge, their performance was still relatively poor. The elected officials and general population subgroups performed at the same level and only slightly better than chance. Addressing the societal challenges of our time requires elected officials to possess more than domain-specific prior knowledge.

Indexed as

Decision MakingPoliticsAdultFemaleHumansMaleMiddle AgedYoung AdultComplex problem-solvingComputer-simulated microworldElected officialsPrior knowledge

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.