Skip to main content

Understanding and Addressing Cultural Variation in Costly Antisocial Punishment

  • Chapter
  • First Online:

Part of the book series: Advances in the Evolutionary Analysis of Human Behaviour ((AEAHB,volume 1))

Abstract

Altruistic punishment (AP)—punishment of those contributing little to the public good—has been proposed as an explanation for the extraordinary extent of human culture relative to other species. AP is seen as supporting the high levels of altruism necessary for the cooperation underlying this culture, including information exchange. However, humans will also sometimes punish those who contribute greatly to the public good, even when those contributions directly benefit the punisher. This behaviour—antisocial punishment (ASP)—is negatively correlated with gross domestic product, and may be a hindrance to overall wellbeing. In this chapter, we pursue a better understanding of ASP in particular and costly punishment in general. We explore existing data showing cultural variation in the propensity to punish, and ask how such sanctioning, whether of those who give much or little, affects the individuals who conduct it. We hypothesise that costly punishment is a mechanism for regulating investment between different levels of society, for example, whether an individual’s current focus should be on their nation, village, family or self. We suggest that people are less likely to antisocially punish those they consider to be ‘ingroup’ and that the propensity to apply this identity to strangers may vary with socio-economic–political context and resulting individual experience. In particular, an increased propensity to express ASP should correlate with a lower probability of benefiting from public goods, as may be the case where there is a low rule of law. We show analysis of both behavioural economics experiments and evolutionary social simulations to support our hypotheses and suggest implications for policymakers and other organisations that may wish to intervene to improve general economic wellbeing.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    Translated by Martin Clarke (1923), also quoted by Mauss (1967).

  2. 2.

    Of course, reality could be more subtle (Barclay 2006; Sylwester et al. 2013).

  3. 3.

    In rural conditions, the computers may be replaced with pen and paper for recording decisions, and then the results are communicated to group members by the experimenter.

  4. 4.

    Many other cost/effect ratios have been tried by other experimenters; these result in quantitative but not qualitative shifts in behaviour. See Sylwester et al. (2013) for a more complete review.

  5. 5.

    Of course, one in four individuals give the least in their group, so know any punishment is altruistic, and the same number contribute the most and know theirs is antisocial.

  6. 6.

    Because the initial studies were conducted at ETH, it was considered essential that representatives from other cultures were also drawn from top universities to increase comparability.

References

  • Abbink, K., & Sadrieh, A. (2009). The pleasure of being nasty. Economics Letters, 105(3), 306–308.

    Article  Google Scholar 

  • Barclay, P. (2006). Reputational benefits for altruistic punishment. Evolution and Human Behavior, 27(FIXME), 325–344.

    Article  Google Scholar 

  • Bardsley, N., & Sausgruber, R. (2005). Conformity and reciprocity in public good provision. Journal of Economic Psychology, 26(5), 664–681.

    Article  Google Scholar 

  • Boehm, C. (1999). Hierarchy in the forest: The evolution of egalitarian behavior. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Bryson, J. J. (2009). Representations underlying social learning and cultural evolution. Interaction Studies, 10(1), 77–100.

    Article  Google Scholar 

  • Bryson, J. J., Ando, Y., & Lehmann, H. (2012). Agent-based models as scientific methodology: A case study analyzing the DomWorld theory of primate social structure and female dominance. In: Seth, A. K., Prescott, T. J., & Bryson, J. J. (Eds.), Modelling natural action selection (pp. 427–453). Cambridge: Cambridge University Press.

    Google Scholar 

  • Carpenter, J. P. (2004). When in Rome: Conformity and the provision of public goods. The Journal of Socio-Economics, 33(4), 395–408.

    Article  Google Scholar 

  • Clutton-Brock, T. H., & Parker, G. A. (1995). Punishment in animal societies. Nature, 373(6511), 209–216.

    Article  Google Scholar 

  • Czibor, A., & Bereczkei, T. (2012). Machiavellian people’s success results from monitoring their partners. Personality and Individual Differences, 53(3), 202–206.

    Article  Google Scholar 

  • Dawkins, R. (1982). The extended phenotype: The gene as the unit of selection. New York: W.H. Freeman.

    Google Scholar 

  • Fehr, E., & Gächter, S. (2000). Cooperation and punishment in public goods experiments. The American Economic Review, 90(4), 980–994.

    Article  Google Scholar 

  • Fehr, E., & Gächter, S. (2002). Altruistic punishment in humans. Nature, 415(6868), 137–140.

    Article  Google Scholar 

  • Gintis, H., Bowles, S., Boyd, R., & Fehr, E. (2003). Explaining altruistic behavior in humans. Evolution and Human Behavior, 24(3), 153–172.

    Article  Google Scholar 

  • Hamilton, W. D. (1964). The genetical evolution of social behaviour. Journal of Theoretical Biology, 7, 1–52.

    Article  Google Scholar 

  • Henrich, J., Boyd, R., Bowles, S., Camerer, C., Fehr, E., Gintis, H., & McElreath, R. (2001). Cooperation, reciprocity and punishment in fifteen small-scale societies. American Economic Review, 91(2), 73–78.

    Article  Google Scholar 

  • Henrich, J., Heine, S. J., & Norenzayan, A. (2010). Most people are not WEIRD. Nature, 466(7302), 29.

    Article  Google Scholar 

  • Herrmann, B., Thöni, C., & Gächter, S. (2008a). Antisocial punishment across societies. Science, 319(5868), 1362–1367.

    Article  Google Scholar 

  • Herrmann, B., Thöni, C., & Gächter, S. (2008b). Supporting online material for antisocial punishment across societies. Science, 319(5868). (http://www.sciencemag.org/cgi/content/full/319/5868/1362/DC1).

  • Hobbes, T. (1651). Leviathan. London: Andrew Crooke.

    Google Scholar 

  • Jensen, K. (2010). Punishment and spite, the dark side of cooperation. Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1553), 2635–2650.

    Article  Google Scholar 

  • Kaufmann, D., Kraay, A., & Mastruzzi, M. (2004). Governance matters III: Governance indicators for 1996, 1998, 2000, and 2002. The World Bank Economic Review, 18(2), 253–287.

    Article  Google Scholar 

  • Kokko, H.(2007). Modelling for field biologists and other interesting people. Cambridge University Press

    Google Scholar 

  • Laland, K. N., Sterelny, K., Odling-Smee, J., Hoppitt, W., & Uller, T. (2011). Cause and effect in biology revisited: Is Mayr’s proximate-ultimate dichotomy still useful? Science, 334(6062), 1512–1516.

    Article  Google Scholar 

  • Lamba, S., & Mace, R. (2012). The evolution of fairness: explaining variation in bargaining behaviour. Proceedings of the Royal Society B: Biological Sciences. doi:10.1098/rspb.2012.2028.

    Google Scholar 

  • Ledyard, J. O. (1995). Public goods: A survey of experimental research. In: Kagel, J. H. & Roth, A. E (Eds.), Handbook of experimental economics, (pp. 111–194). Princeton, NJ: Princeton University Press.

    Google Scholar 

  • MacLean, R. C., Fuentes-Hernandez, A., Greig, D., Hurst, L. D., & Gudelj, I. (2010). A mixture of “cheats” and “co-operators” can enable maximal group benefit. PLOS Biology, 8(9), e1000486.

    Article  Google Scholar 

  • Martin Clarke, D. E. (Ed.) (1923). Hávamá1. Cambridge: Cambridge University Press.

    Google Scholar 

  • Mauss, M. (1967). The gift: The form and reason for exchange in archaic societies. New York: W.W. Norton (Translator: Ian Cunnison).

    Google Scholar 

  • Mayr, E. (1961). Cause and effect in biology: Kinds of causes, predictability, and teleology are viewed by a practicing biologist. Science, 134(3489), 1501–1506.

    Article  Google Scholar 

  • Powers, S. T., Penn, A. S., & Watson, R. A. (2011). The concurrent evolution of cooperation and the population structures that support it. Evolution, 65(6), 1527–1543.

    Article  Google Scholar 

  • Powers, S. T., Taylor, D. J., & Bryson, J. J. (2012). Punishment can promote defection in group-structured populations. Journal of Theoretical Biology, 311, 107–116.

    Article  Google Scholar 

  • Preuschoft, S., & van Schaik, C. P. (2000). Dominance and communication: Conflict management in various social settings. In: Aureli, F. & de Waal, F. B. M. (Eds.) Natural conflict resolution (pp. 77–105). Berkeley: University of California Press.

    Google Scholar 

  • Rand, D. G., Armao IV, J. J., Nakamaru, M., & Ohtsuki, H. (2010). Anti-social punishment can prevent the co-evolution of punishment and cooperation. Journal of Theoretical Biology, 265(4), 624–632.

    Article  Google Scholar 

  • Rand, D. G., & Nowak, M. A. (2011). The evolution of antisocial punishment in optional public goods games. Nature Communications, 2, 434.

    Article  Google Scholar 

  • Rohwer, Y. (2007). Hierarchy maintenance, coalition formation, and the origins of altruistic punishment. Philosophy of Science, 74(5), 802–812.

    Article  Google Scholar 

  • Sylwester, K., Herrmann, B., & Bryson, J. J. (2013). Homo homini lupus? Explaining antisocial punishment. Journal of Neuroscience, Psychology, and Economics 6(3), 167–188.

    Google Scholar 

  • Sylwester, K., Mitchell, J., & Bryson, J. J. (2013). Punishment as aggression: Uses and consequences of costly punishment across populations. (unpublished).

    Google Scholar 

  • Sylwester, K., & Roberts, G. (2010). Cooperators benefit through reputation-based partner choice in economic games. Biology Letters, 6(5), 659–662.

    Article  Google Scholar 

  • Taylor, D. J., & Bryson, J. J. (2013). Does reciprocation explain cooperation in large groups? (unpublished).

    Google Scholar 

  • Thierry, B. (2005). Integrating proximate and ultimate causation: Just one more go! Current Science, 89(7), 1180–1183.

    Google Scholar 

  • Čače, I., & Bryson, J. J. (2007). Agent based modelling of communication costs: Why information can be free. In: Lyon, C., Nehaniv, C. L. & Cangelosi, A., (Eds.), Emergence and evolution of linguistic communication (pp. 305–322). London: Springer.

    Google Scholar 

  • Walker, A., & Stringer, C. (2010). The first four million years of human evolution. Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1556), 3265–3266.

    Article  Google Scholar 

  • West, S. A., El Mouden, C., & Gardner, A. (2011). Sixteen common misconceptions about the evolution of cooperation in humans. Evolution and Human Behavior, 32(4), 231–262.

    Article  Google Scholar 

  • West, S. A., Griffin, A. S., & Gardner, A. (2007). Evolutionary explanations for cooperation. Current Biology, 17, R661–R672.

    Article  Google Scholar 

  • Whitehouse, H., Kahn, K., Hochberg, M. E., & Bryson, J. J. (2012). The role for simulations in theory construction for the social sciences: Case studies concerning divergent modes of religiosity. Religion, Brain & Behavior, 2(3), 182–224.

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank Benedikt Herrmann for his advice and help with theory building, the literature, and his assistance in understanding his own data set. We would also like to thank to Simon Gächter for meetings and occasional e-mail assistance, and Daniel Taylor for many conversations and useful analysis. We thank Will Lowe for his help with data, statistics, software and analysis, and to Gideon Gluckman for support in writing. From October 2010 to September 2011, much of this effort was supported by the US Air Force Office of Scientific Research, Air Force Material Command, USAF, under grant number FA8655-10-1-3050. We would also like to thank the Department of Computer Science and the University of Bath for further financial support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joanna J. Bryson .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this chapter

Cite this chapter

Bryson, J., Mitchell, J., Powers, S., Sylwester, K. (2014). Understanding and Addressing Cultural Variation in Costly Antisocial Punishment. In: Gibson, M., Lawson, D. (eds) Applied Evolutionary Anthropology. Advances in the Evolutionary Analysis of Human Behaviour, vol 1. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0280-4_9

Download citation

Publish with us

Policies and ethics