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An evolutionary explanation for ineffective altruism

Author

Listed:
  • Bethany Burum

    (Harvard University)

  • Martin A. Nowak

    (Harvard University)

  • Moshe Hoffman

    (Massachusetts Institute of Technology)

Abstract

We donate billions to charities each year, yet much of our giving is ineffective. Why are we motivated to give but not to give effectively? Building on evolutionary game theory, we argue that donors evolved (genetically or culturally) to be insensitive to efficacy because people tend not to reward efficacy, as social rewards tend to depend on well-defined and highly observable behaviours. We present five experiments testing key predictions of this account that are difficult to reconcile with alternative accounts based on cognitive or emotional limitations. Namely, we show that donors are more sensitive to efficacy when helping (1) themselves or (2) their families. Moreover, (3) social rewarders don’t condition on efficacy or other difficult-to-observe behaviours (4, 5), such as the amount donated.

Suggested Citation

  • Bethany Burum & Martin A. Nowak & Moshe Hoffman, 2020. "An evolutionary explanation for ineffective altruism," Nature Human Behaviour, Nature, vol. 4(12), pages 1245-1257, December.
  • Handle: RePEc:nat:nathum:v:4:y:2020:i:12:d:10.1038_s41562-020-00950-4
    DOI: 10.1038/s41562-020-00950-4
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    Cited by:

    1. Nicolas Treich, 2022. "The Dasgupta Review and the Problem of Anthropocentrism," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(4), pages 973-997, December.
    2. Zong, Weiyan & Zhang, Junyi & Yang, Xiaoguang, 2023. "Building a life-course intertemporal discrete choice model to analyze migration biographies," Journal of choice modelling, Elsevier, vol. 47(C).
    3. Xia Tao & Stavros Sindakis & Charles Chen & Panagiotis Theodorou & Saloome Showkat, 2024. "Validation Analysis of Charitable Organizations and Media Monitoring Using an Evolutionary Model in China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 5539-5570, June.
    4. Li, Wen-Jing & Chen, Zhi & Jin, Ke-Zhong & Wang, Jun & Yuan, Lin & Gu, Changgui & Jiang, Luo-Luo & Perc, Matjaž, 2022. "Options for mobility and network reciprocity to jointly yield robust cooperation in social dilemmas," Applied Mathematics and Computation, Elsevier, vol. 435(C).
    5. Grimalda, Gianluca & Buchan, Nancy R. & Ozturk, Orgul G. & Pinate, Adriana C. & Urso, Giulia & Brewer, Marilynn B., 2021. "Exposure to COVID-19 is associated with increased altruism, particularly at the local level," Open Access Publications from Kiel Institute for the World Economy 248645, Kiel Institute for the World Economy (IfW Kiel).

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