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A Test of Evolutionary Policing Theory with Data from Human Societies

Overview of attention for article published in PLOS ONE, September 2011
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Title
A Test of Evolutionary Policing Theory with Data from Human Societies
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0024350
Pubmed ID
Authors

Rolf Kümmerli

Abstract

In social groups where relatedness among interacting individuals is low, cooperation can often only be maintained through mechanisms that repress competition among group members. Repression-of-competition mechanisms, such as policing and punishment, seem to be of particular importance in human societies, where cooperative interactions often occur among unrelated individuals. In line with this view, economic games have shown that the ability to punish defectors enforces cooperation among humans. Here, I examine a real-world example of a repression-of-competition system, the police institutions common to modern human societies. Specifically, I test evolutionary policing theory by comparing data on policing effort, per capita crime rate, and similarity (used as a proxy for genetic relatedness) among citizens across the 26 cantons of Switzerland. This comparison revealed full support for all three predictions of evolutionary policing theory. First, when controlling for policing efforts, crime rate correlated negatively with the similarity among citizens. This is in line with the prediction that high similarity results in higher levels of cooperative self-restraint (i.e. lower crime rates) because it aligns the interests of individuals. Second, policing effort correlated negatively with the similarity among citizens, supporting the prediction that more policing is required to enforce cooperation in low-similarity societies, where individuals' interests diverge most. Third, increased policing efforts were associated with reductions in crime rates, indicating that policing indeed enforces cooperation. These analyses strongly indicate that humans respond to cues of their social environment and adjust cheating and policing behaviour as predicted by evolutionary policing theory.

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Geographical breakdown

Country Count As %
United Kingdom 3 4%
Canada 2 2%
Germany 1 1%
Brazil 1 1%
Mexico 1 1%
Denmark 1 1%
United States 1 1%
Unknown 75 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Researcher 13 15%
Student > Bachelor 11 13%
Student > Master 10 12%
Professor > Associate Professor 7 8%
Other 19 22%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 40%
Social Sciences 8 9%
Psychology 8 9%
Computer Science 4 5%
Economics, Econometrics and Finance 4 5%
Other 16 19%
Unknown 11 13%