Evidence map›Paper›PMID 42807554›Full record

ArticleEvolution and human behavior : official journal of the Human Behavior and Evolution Society2025

Coalitional Support Regulates Resource Divisions in Men.

Elsa Ermer, Gary Charness, John Tooby, Leda Cosmides

Abstract read
In one paragraph

Article in Evolution and human behavior : official journal of the Human Behavior and Evolution Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

4 authors.

Elsa ErmerCenter for Evolutionary Psychology, University of California, Santa Barbara, CA 93106.
Gary CharnessDepartment of Economics, University of California, Santa Barbara, CA 93106.
John ToobyCenter for Evolutionary Psychology, University of California, Santa Barbara, CA 93106.
Leda CosmidesCenter for Evolutionary Psychology, University of California, Santa Barbara, CA 93106.

Funding

NIH Director's Pioneer Award (RMI)DP1OD000516 · OD · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI COSMIDES, LEDA · 2005 to 2009
$3.6M
NIH HHS DP1 OD000516
6 · The paper itself

Abstract

The logic of animal conflict predicts that organisms should assess cues of formidability to mitigate the costs of escalated contests. Accordingly, individual fighting ability has been shown to regulate the outcome of contests: All else equal, more formidable individuals claim a larger share of disputed resources, and less formidable individuals defer to their claims. The human ability to cooperate in groups complicates these interactions because a coalition of individuals can take resources from an individual that none of them could dominate when acting alone. We propose that the prevalence of male coalitional aggression in humans selected for psychological mechanisms that track how much coalitional support is immediately available to men when they are contesting a resource and use this information to regulate decisions about how to divide it. Specifically, men with coalitional allies present should be motivated to press their self-interest more than men who are acting alone-even if the solitary man has allies elsewhere. Experiments using economic games in a university lab setting were employed to test this coalitional support hypothesis. Across six experiments employing three different economic games (total n=496), coalitional support consistently regulated men's-but not women's-choices. These results suggest that coalitional support is an important factor regulating resource division in men. The fact that women pressed their self-interest, but did so whether allies were present versus absent, suggests that women's coalitional psychology was designed by different selection pressures than men's.

Identifiers

PMID42807554
PMCPMC13618358

What OpenQuestion holds

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Registered trials

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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.