Data and files for: Decoupling cooperation and punishment in humans shows that punishment is not an altruistic trait
Burton-Chellew, Maxwell; Guerin, Claire (2021), Data and files for: Decoupling cooperation and punishment in humans shows that punishment is not an altruistic trait, Dryad, Dataset, https://doi.org/10.5061/dryad.k98sf7m6r
Economic experiments have suggested that cooperative humans will altruistically match local levels of cooperation (‘conditional cooperation’) and pay to punish non-cooperators (‘altruistic punishment’). Evolutionary models have suggested that if altruists punish non-altruists this could favour the evolution of costly helping behaviours (cooperation) among strangers. An often-key requirement is that helping behaviours and punishing behaviours form one single, conjoined trait (‘strong reciprocity’). Previous economics experiments have provided support for the hypothesis that punishment and cooperation form one conjoined, altruistically motivated, trait. However, such a conjoined trait may be evolutionarily unstable, and previous experiments have confounded a fear of being punished with being surrounded by cooperators, two factors that could favour cooperation. Here, we experimentally decouple the fear of punishment from a cooperative environment and allow cooperation and punishment behaviour to freely separate (420 participants). We show, that if a minority of individuals are made immune to punishment, they (1) learn to stop cooperating on average despite being surrounded by high levels of cooperation, contradicting the idea of conditional cooperation; and (2) often continue to punish, ‘hypocritically’, showing that cooperation and punishment do not form one, altruistically motivated, linked trait.
A laboratory experiment conducted in z-Tree using behavioural economics to investige human social behaviours at the University of Lausanne Switzerland.
All the rawdata files produced by the z-Tree software and R code analysis file are included, along with a readme.
All the experimental files can also be found on Zenodo or our Open Science Framework (OSF) link: https://osf.io/37gvu/