Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Nature Communications
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. nature communications
  3. articles
  4. article
Meta-analyses on charitable giving clarify evidence for empathic and effective altruism
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 10 March 2026

Meta-analyses on charitable giving clarify evidence for empathic and effective altruism

  • Matthew J. Hornsey  ORCID: orcid.org/0000-0003-1275-39771,
  • Jessica L. Spence1 &
  • Cassandra M. Chapman  ORCID: orcid.org/0000-0002-8488-61061 

Nature Communications , Article number:  (2026) Cite this article

  • 3356 Accesses

  • 21 Altmetric

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Human behaviour
  • Psychology

Abstract

Effective altruists argue that charitable giving is over-influenced by empathic responses and should instead be guided by cost-benefit analyses about the effectiveness of giving. To provide insight into the extent to which empathy and effectiveness are associated with charitable giving in the population, two meta-analyses are conducted, synthesising 416 effect sizes from 124 papers sampling 74,797 participants. Here we show that effectiveness, r = 0.34, SE = 0.04, 95%CIs [0.28, 0.40], and empathy, r = 0.25, SE = 0.02, CIs [0.21, 0.29], both positively relate to charitable giving overall. However, prediction intervals reveal significant heterogeneity. Moderation analyses reveal one crucial caveat to the overall association between effectiveness and charitable giving: although the mean effect is relatively large when effectiveness is measured, r = 0.42, CIs [0.35, 0.48], manipulated effectiveness has a weak effect, r = 0.03, CIs [−0.10, 0.17]. Our findings suggest that while people may self-perceive as effective altruists, they give like empathic ones, a disjunction that calls for deeper causal investigation.

Similar content being viewed by others

An experimental test of fundraising appeals targeting donor and recipient benefits

Article 12 April 2021

Moral suasion and charitable giving

Article Open access 01 December 2022

Unselfish traits and social decision-making patterns characterize six populations of real-world extraordinary altruists

Article Open access 31 March 2023

Data availability

The data are publicly available on the Open Science Framework: https://doi.org/10.17605/OSF.IO/QZ9AX48.

Code availability

Analyses were conducted through R, using code that is viewable on the Open Science Framework: https://doi.org/10.17605/OSF.IO/QZ9AX48.

References

  1. Bekkers, R. & Wiepking, P. A literature review of empirical studies of philanthropy: Eight mechanisms that drive charitable giving. Nonprofit Voluntary Sect. Q. 40, 924–973 (2011).

    Google Scholar 

  2. Giving USA Foundation. (2021). Giving USA 2021: The Annual Report on Philanthropy for the Year 2020.

  3. Bloom, P. Against empathy: The case for rational compassion. (Ecco Books, 2016).

  4. Bloom, P. The baby in the well: The case against empathy. In The New Yorker (2013).

  5. Batson, C. D. Altruism in humans. (Oxford University Press, 2011).

  6. Batson, C. D. et al. Empathic joy and the empathy-altruism hypothesis. J. Personal. Soc. Psychol. 61, 413–426 (1991).

    Google Scholar 

  7. MacAskill, W. Doing good better: How effective altruism can help you make a difference. (Gotham Books, 2015).

  8. Ord, T. in Effective altruism: Philosophical issues (eds H. Greaves & T. Pummer) 29-36 (2019).

  9. Singer, P. The most good you can do: How effective altruism is changing ideas about living ethically. (Yale University Press, 2015).

  10. Everett, J. A. C., Faber, N. S., Savulescu, J. & Crockett, M. J. The costs of being consequentialist: Social inference from instrumental harm and impartial beneficence. J. Exp. Soc. Psychol. 79, 200–216 (2018).

    Google Scholar 

  11. Fowler, Z., Law, K. F. & Gaesser, B. Against empathy bias: The moral value of equitable empathy. Psychological Sci. 32, 766–779 (2021).

    Google Scholar 

  12. Law, K. F., Amormino, P., Marsh, A. A. & O’Connor, B. B. Ethical reasoning versus empathic bias: A false dichotomy? Trends Cogn. Sci. 28, 1–4 (2024).

    Google Scholar 

  13. Law, K. F., Campbell, D. & Gaesser, B. Biased benevolence: The perceived morality of effective altruism across social distance. Personal. Soc. Psychol. Bull. 48, 426–444 (2022).

    Google Scholar 

  14. Metzger, L. & Günther, I. Making an impact? The relevance of information on aid effectiveness for charitable giving. A laboratory experiment. J. Dev. Econ. 136, 18–33 (2019).

    Google Scholar 

  15. Karlan, D. & Wood, D. H. The effect of effectiveness: Donor response to aid effectiveness in a direct mail fundraising experiment. J. Behav. Exp. Econ. 66, 1–8 (2017).

    Google Scholar 

  16. Berman, J. Z., Barasch, A., Levine, E. E. & Small, D. A. Impediments to effective altruism: The role of subjective preferences in charitable giving. Psychological Sci. 29, 834–844 (2018).

    Google Scholar 

  17. Eisenberg, N. & Miller, P. The relation of empathy to prosocial and related behaviors. Psychological Bull. 101, 91–119 (1987).

    Google Scholar 

  18. Ding, F. & Lu, Z. Association between empathy and prosocial behavior: A systematic review and meta-analysis. Adv. Psychological Sci. 24, 1159 (2016).

    Google Scholar 

  19. Yin, Y. & Wang, Y. Is empathy associated with more prosocial behaviour? A meta-analysis. Asian J. Soc. Psychol. 26, 3–22 (2023).

    Google Scholar 

  20. Thielmann, I., Spadaro, G. & Balliet, D. Personality and prosocial behavior: A theoretical framework and meta-analysis. Psychological Bull. 146, 30–90 (2020).

    Google Scholar 

  21. Hung, C., Hager, M. A. & Tian, Y. Do donors penalize nonprofits with higher non-program costs? A meta-analysis of donor overhead aversion. Nonprofit Voluntary Sect. Q. 52, 1587–1608 (2023).

    Google Scholar 

  22. Ryazanov, A. A. & Christenfeld, N. J. S. On the limited role of efficiency in charitable giving. Nonprofit Voluntary Sect. Q. 47, 939–959 (2018).

    Google Scholar 

  23. Kontopantelis, E., Springate, D. A. & Reeves, D. A re-analysis of the Cochrane Library data: The dangers of unobserved heterogeneity in meta-analyses. PLOS ONE 8, e69930 (2013).

    Google Scholar 

  24. Lee, L., Piliavin, J. A. & Vaughn, R. A. C. Giving time, money, and blood: Similarities and differences. Soc. Psychol. Q. 62, 276–290 (1999).

    Google Scholar 

  25. Moher, D. et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst. Rev. 4, 1–9 (2015).

    Google Scholar 

  26. Page, M. J. et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372, n71 (2021).

  27. Cheung, M. W. Modeling dependent effect sizes with three-level meta-analyses: A structural equation modeling approach. Psychological Methods 19, 211–229 (2014).

    Google Scholar 

  28. Hox, J. J., Moerbeek, M. & Van de Schoot, R. Multilevel analysis: Techniques and applications. 2nd edn, (Routledge, 2010).

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

    Google Scholar 

  30. Davis, M. Measuring individual differences in empathy: Evidence for a multidimensional approach. J. Personalilty Soc. Psychol. 44, 113–126 (1983).

    Google Scholar 

  31. Rhoads, S. A. et al. Unselfish traits and social decision-making patterns characterize six populations of real-world extraordinary altruists. Nat. Commun. 14, 1807 (2023).

    Google Scholar 

  32. Clary, E. G. et al. Understanding and assessing the motivations of volunteers: A functional approach. J. Personal. Soc. Psychol. 74, 1516–1530 (1998).

    Google Scholar 

  33. France, C. R., France, J. L., Ysidron, D. W. & Samstein, B. Assessing motivations for non-living and living organ donation among individuals with and without a history of blood donation. Transfus. Med. 32, 120–127 (2022).

    Google Scholar 

  34. Areias, J., Gato, J. & Moura-Ramos, M. Motivations and attitudes of men towards sperm donation: Whom to donate and why? Sexuality Res. Soc. Policy 19, 147–158 (2022).

    Google Scholar 

  35. Singer, P. The why and how of effective altruism, https://www.ted.com/talks/peter_singer_the_why_and_how_of_effective_altruism?language=en (2013).

  36. Dunning, D. Self-insight: Roadblocks and detours on the path to knowing thyself. (Psychology Press, 2005).

  37. Caviola, L., Schubert, S. & Greene, J. D. The psychology of (in)effective altruism. Trends Cogn. Sci. 25, 596–607 (2021).

    Google Scholar 

  38. Kim, S., Jeong, S.-H. & Hwang, Y. Predictors of pro-environmental behaviors of American and Korean students: The application of the Theory of Reasoned Action and Protection Motivation Theory. Sci. Commun. 35, 168–188 (2013).

    Google Scholar 

  39. Hornsey, M. J. & Fielding, K. S. A cautionary note about messages of hope: Focusing on progress in reducing carbon emissions weakens mitigation motivation. Glob. Environ. Change 39, 26–34 (2016).

    Google Scholar 

  40. Hornsey, M. J., Chapman, C. M. & Oelrichs, D. M. Ripple effects: Can information about the collective impact of individual actions boost perceived efficacy about climate change? J. Exp. Soc. Psychol. 97, 104217 (2021).

    Google Scholar 

  41. Hornsey, M. J., Chapman, C. M. & Oelrichs, D. M. Why it is so hard to teach people they can make a difference: Climate change efficacy as a non-analytic form of reasoning. Think. Reasoning 28, 327–345 (2022).

    Google Scholar 

  42. Haddaway, N. R., Collins, A. M., Coughlin, D. & Kirk, S. The role of Google Scholar in evidence reviews and its applicability to grey literature searching. PLOS ONE 10, e0138237 (2015).

    Google Scholar 

  43. Assink, M. & Wibbelink, C. J. Fitting three-level meta-analytic models in R: A step-by-step tutorial. Quant. Methods Psychol. 12, 154–174 (2016).

    Google Scholar 

  44. Viechtbauer, W. Conducting meta-analyses in R with the metafor package. J. Stat. Softw. 36, 1–48 (2010).

    Google Scholar 

  45. R Core Team (2025). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

  46. Knapp, G. & Hartung, J. Improved tests for a random effects meta-regression with a single covariate. Stat. Med. 22, 2693–2710 (2003).

    Google Scholar 

  47. Tabachnik, B. G. & Fidell, L. S. Using multivariate statistics. (Pearson, 2013).

  48. Hornsey, M. J., Spence, J. L. & Chapman, C. M. Meta-analyses show robust evidence that people are empathic altruists and weak evidence that they are effective altruists. OSF, https://doi.org/10.17605/OSF.IO/QZ9AX, 2025.

Download references

Acknowledgements

Funding to support this research was acquired through an Australian Research Council Fellowship (DE220100903) awarded to the 3rd author and an Australian Research Council Linkage grant (LP200200046) awarded to the 1st and 3rd authors.

Author information

Authors and Affiliations

  1. University of Queensland Business School, Brisbane, Australia

    Matthew J. Hornsey, Jessica L. Spence & Cassandra M. Chapman

Authors
  1. Matthew J. Hornsey
    View author publications

    Search author on:PubMed Google Scholar

  2. Jessica L. Spence
    View author publications

    Search author on:PubMed Google Scholar

  3. Cassandra M. Chapman
    View author publications

    Search author on:PubMed Google Scholar

Contributions

C.C. and M.H. acquired funding and conceived the study. C.C. supervised the project and led data coding. J.S. conducted the data extraction, formal analyses, and visualisation. M.H. wrote the first draft of the manuscript. All authors contributed to reviewing and editing subsequent drafts.

Corresponding author

Correspondence to Matthew J. Hornsey.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Communications thanks Cory Clark, Falk Lieder and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information (download PDF )

Reporting Summary (download PDF )

Transparent Peer Review file (download PDF )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hornsey, M.J., Spence, J.L. & Chapman, C.M. Meta-analyses on charitable giving clarify evidence for empathic and effective altruism. Nat Commun (2026). https://doi.org/10.1038/s41467-026-70230-8

Download citation

  • Received: 02 May 2024

  • Accepted: 23 February 2026

  • Published: 10 March 2026

  • DOI: https://doi.org/10.1038/s41467-026-70230-8

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Videos
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Aims & Scope
  • Editors
  • Journal Information
  • Open Access Fees and Funding
  • Calls for Papers
  • Editorial Values Statement
  • Journal Metrics
  • Editors' Highlights
  • Contact
  • Editorial policies
  • Top Articles

Publish with us

  • For authors
  • For Reviewers
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Nature Communications (Nat Commun)

ISSN 2041-1723 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing