Abstract

The replication crisis facing the psychological sciences is widely regarded as rooted in methodological or statistical shortcomings. We argue that a large part of the problem is the lack of a cumulative theoretical framework or frameworks. Without an overarching theoretical framework that generates hypotheses across diverse domains, empirical programs spawn and grow from personal intuitions and culturally biased folk theories. By providing ways to develop clear predictions, including through the use of formal modelling, theoretical frameworks set expectations that determine whether a new finding is confirmatory, nicely integrating with existing lines of research, or surprising, and therefore requiring further replication and scrutiny. Such frameworks also prioritize certain research foci, motivate the use diverse empirical approaches and, often, provide a natural means to integrate across the sciences. Thus, overarching theoretical frameworks pave the way toward a more general theory of human behaviour. We illustrate one such a theoretical framework: dual inheritance theory.

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References

  1. 1.

    Open Science Collaboration. Estimating the reproducibility of psychological science. Science 349, aac4716 (2015).

  2. 2.

    Henrich, J., Heine, S. J. & Norenzayan, A. The weirdest people in the world? Behav. Brain Sci. 33, 61–83, discussion 83–135. (2010).

  3. 3.

    Gilbert, D. T., King, G., Pettigrew, S. & Wilson, T. D. Comment on “Estimating the reproducibility of psychological science”. Science 351, 1037 (2016).

  4. 4.

    Munafò, M. R. et al. A manifesto for reproducible science. Nat. Hum. Behav. https://doi.org/10.1038/s41562-016-0021 (2017).

  5. 5.

    Agafonova, N. et al. Measurement of the neutrino velocity with the OPERA detector in the CNGS beam. JHEP https://doi.org/10.1007/JHEP10(2012)093 (2012).

  6. 6.

    Festinger, L. A Theory of Cognitive Dissonance. Vol. 2 (Stanford University Press, Stanford, CA, USA, 1962).

  7. 7.

    Solomon, S., Greenberg, J. & Pyszczynski, T. A terror management theory of social behavior: the psychological functions of self-esteem and cultural worldviews. Adv. Exp. Soc. Psychol. 24, 93–159 (1991).

  8. 8.

    Bargh, J. A., Chen, M. & Burrows, L. Automaticity of social behavior: direct effects of trait construct and stereotype-activation on action. J. Pers. Soc. Psychol. 71, 230–244 (1996).

  9. 9.

    Doyen, S., Klein, O., Pichon, C.-L. & Cleeremans, A. Behavioral priming: it’s all in the mind, but whose mind? PLoS One 7, e29081, https://doi.org/10.1371/journal.pone.0029081 (2012).

  10. 10.

    Schwartz, B. & Kliban, K. The Paradox of Choice: Why More is Less. (Ecco, New York, 2004).

  11. 11.

    Scheibehenne, B., Greifeneder, R. & Todd, P. M. Can there ever be too many options? A meta‐analytic review of choice overload. J. Consum. Res. 37, 409–425 (2010).

  12. 12.

    Poincaré, H. Science and Hypothesis. (Science Press, New York, 1905).

  13. 13.

    Henrich, J. et al. Markets, religion, community size, and the evolution of fairness and punishment. Science 327, 1480–1484 (2010).

  14. 14.

    Henrich, J. The Secret of Our Success: How Culture is Driving Human Evolution, Domesticating Our Species, and Making Us Smarter. (Princeton University Press, Princeton, NJ, USA, 2016).

  15. 15.

    Dehaene, S. Reading in the Brain: The New Science of How We Read. (Penguin, New York, 2009).

  16. 16.

    Fletcher, J. A. & Doebeli, M. A simple and general explanation for the evolution of altruism. Proc. R. Soc. Lond. B 276, 13–19 (2009).

  17. 17.

    Shipley, B. Cause and Correlation in Biology: a User’s Guide to Path Analysis, Structural Equations and Causal Inference with R (Cambridge University Press, Cambridge, UK, 2016).

  18. 18.

    Darwin, C. On the Origins of Species by Means of Natural Selection. (Murray, London, 1859).

  19. 19.

    Dytran. MSCsoftware.com http://www.mscsoftware.com/product/dytran (2004).

  20. 20.

    Chan, E. Quantitative Trading: How to Build Your Own Algorithmic Trading Business. (Wiley, Hoboken, NJ, USA, 2009).

  21. 21.

    Liu, C. & Wechsler, H. Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition. IEEE Trans. Image Process. 11, 467–476 (2002).

  22. 22.

    Hastie, R. & Kameda, T. The robust beauty of majority rules in group decisions. Psychol. Rev. 112, 494–508 (2005).

  23. 23.

    Kendal, J., Giraldeau, L.-A. & Laland, K. The evolution of social learning rules: payoff-biased and frequency-dependent biased transmission. J. Theor. Biol. 260, 210–219 (2009).

  24. 24.

    Aoki, K. & Feldman, M. W. Evolution of learning strategies in temporally and spatially variable environments: a review of theory. Theor. Popul. Biol. 91, 3–19 (2014).

  25. 25.

    Boyd, R. & Richerson, P. J. Culture and the Evolutionary Process. (University of Chicago Press, Chicago, IL, USA, 1985).

  26. 26.

    MacCoun, R. J. The burden of social proof: shared thresholds and social influence. Psychol. Rev. 119, 345–372 (2012).

  27. 27.

    Nowak, A., Szamrej, J. & Latané, B. From private attitude to public opinion: a dynamic theory of social impact. Psychol. Rev. 97, 362–376 (1990).

  28. 28.

    Tanford, S. & Penrod, S. Computer modeling of influence in the jury: the role of the consistent juror. Soc. Psychol. Q. 46, 200–212 (1983).

  29. 29.

    Tanford, S. & Penrod, S. Social influence model: a formal integration of research on majority and minority influence processes. Psychol. Bull. 95, 189–225 (1984).

  30. 30.

    Smaldino, P. E., Calanchini, J. & Pickett, C. L. Theory development with agent-based models. Organ. Psychol. Rev. 5, 300–317 (2015).

  31. 31.

    Murphy, S. C. et al. The role of overconfidence in romantic desirability and competition. Pers. Soc. Psychol. Bull. 41, 1036–1052 (2015).

  32. 32.

    Hamilton, W. D. The genetical evolution of social behaviour. II. J. Theor. Biol. 7, 17–52 (1964).

  33. 33.

    Traulsen, A. Mathematics of kin- and group-selection: formally equivalent? Evolution 64, 316–323 (2010).

  34. 34.

    Birch, J. Hamilton’s rule and its discontents. Br. J. Philos. Sci. 65, 381–411 (2013).

  35. 35.

    Nowak, M. A., McAvoy, A., Allen, B. & Wilson, E. O. The general form of Hamilton’s rule makes no predictions and cannot be tested empirically. Proc. Natl Acad. Sci. USA 114, 5665–5670 (2017).

  36. 36.

    Norenzayan, A. et al. The cultural evolution of prosocial religions. Behav. Brain Sci. 39, e1 (2016).

  37. 37.

    Bidgood, J. Sister Frances Ann Carr, One of the Last Three Shakers, Dies at 89. The New York Times https://www.nytimes.com/2017/01/04/us/sister-frances-ann-carr-one-of-the-last-three-shakers-dies-at-89.html (2017).

  38. 38.

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

  39. 39.

    Laland, K. N. Darwin's Unfinished Symphony: How Culture Made the Human Mind. (Princeton University Press, Princeton, NJ, USA, 2017).

  40. 40.

    Wingfield, J. C., Lynn, S. & Soma, K. K. Avoiding the ‘costs’ of testosterone: ecological bases of hormone-behavior interactions. Brain Behav. Evol. 57, 239–251 (2001).

  41. 41.

    Gabi, M. et al. No relative expansion of the number of prefrontal neurons in primate and human evolution. Proc. Natl Acad. Sci. USA 113, 9617–9622 (2016).

  42. 42.

    Nelson, L. D., Simmons, J. & Simonsohn, U. Psychology’s renaissance. Annu. Rev. Psychol. 69, 511–534 (2018).

  43. 43.

    Laland, K. N. et al. The extended evolutionary synthesis: its structure, assumptions and predictions. Proc. Biol. Sci. 282, 20151019 (2015).

  44. 44.

    Cavalli-Sforza, L. L. & Feldman, M. W. Cultural Transmission and Evolution: a Quantitative Approach. (Princeton University Press, Princeton, NJ, USA, 1981).

  45. 45.

    Boyd, R. A Different Kind of Animal: How Culture Transformed Our Species. (Princeton University Press, Princeton, NJ, USA, 2017).

  46. 46.

    Campbell, D. T. On the conflicts between biological and social evolution and between psychology and moral tradition. Am. Psychol. 30, 1103–1126 (1975).

  47. 47.

    Campbell, D.T. Variation and selective retention in socio-cultural evolution. in Social Change in Developing Areas (eds. Barringer, H.R., Blanksten, G.I. & Mack, R.W.) (Schenkman, New York, 1965).

  48. 48.

    Campbell, D. T. Blind variation and selective retention in creative thought as in other knowledge processes. Psychol. Rev. 67, 380–400 (1960).

  49. 49.

    Muthukrishna, M. et al. Beyond WEIRD psychology: measuring and mapping scales of cultural and psychological distance. SSRN https://ssrn.com/abstract=3259613 (2018).

  50. 50.

    Lumsden, C. J. & Wilson, E. O. Genes, Mind, and Culture: The Coevolutionary Process. (Harvard University Press, Boston, 1981).

  51. 51.

    Pulliam, H. R. & Dunford, C. Programmed to Learn: an Essay on the Evolution of Culture. (Columbia University Press, New York, 1980).

  52. 52.

    Richerson, P.J., Bettinger, R.L. & Boyd, R. Evolution on a restless planet: were environmental variability and environmental change major drivers of human evolution. Handbook of evolution, Vol. 2: The Evolution of Living Systems (Including Hominids) (eds. Wuketits, F.M. and Ayala, F.J.) 223–242 (Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany, 2005).

  53. 53.

    Zachos, J., Pagani, M., Sloan, L., Thomas, E. & Billups, K. Trends, rhythms, and aberrations in global climate 65 Ma to present. Science 292, 686–693, https://doi.org/10.1126/science.1059412 (2001).

  54. 54.

    Chudek, M., Muthukrishna, M. & Henrich, J. Environmental variability and environmental change major drivers of human evolution. in Handbook of evolution, Vol. 2: The Evolution of Living Systems (Including Hominids) (eds. Wuketits, F.M. and Ayala, F.J.) Ch. 30 (Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany, 2015).

  55. 55.

    Asch, S. E. Effects of group pressure upon the modification and distortion of judgment. in Groups, Leadership and Men (ed. Guetzkow, H.) (Carnegie Press, Pittsburgh, PA, USA, 1951).

  56. 56.

    Asch, S. E. Group forces in the modification and distortion of judgments. in Social Psychology (ed. Asch, S. E.) 450–501 (Prentice-Hall, Englewood Cliffs, NJ, USA, 1952).

  57. 57.

    Asch, S. E. Studies of independence and conformity: I. A minority of one against a unanimous majority. Psychol. Monogr. 70, 1–70 (1956).

  58. 58.

    Cialdini, R. B. & Goldstein, N. J. Social influence: compliance and conformity. Annu. Rev. Psychol. 55, 591–621 (2004).

  59. 59.

    Bond, R. & Smith, P. B. Culture and conformity: a meta-analysis of studies using Asch’s (1952b, 1956) line judgment task. Psychol. Bull. 119, 111–137 10 (1996).

  60. 60.

    Muthukrishna, M., Morgan, T. J. H. & Henrich, J. The when and who of social learning and conformist transmission. Evol. Hum. Behav. 37, 10–20 (2016).

  61. 61.

    Morgan, T. J., Rendell, L. E., Ehn, M., Hoppitt, W. & Laland, K. N. The evolutionary basis of human social learning. Proc. Biol. Sci. 279, 653–662 (2012).

  62. 62.

    Efferson, C., Lalive, R., Richerson, P. J., McElreath, R. & Lubell, M. Conformists and mavericks: the empirics of frequency-dependent cultural transmission. Evol. Hum. Behav. 29, 56–64 (2008).

  63. 63.

    Nakahashi, W., Wakano, J. Y. & Henrich, J. Adaptive social learning strategies in temporally and spatially varying environments : how temporal vs. spatial variation, number of cultural traits, and costs of learning influence the evolution of conformist-biased transmission, payoff-biased transmission, and individual learning. Hum. Nat. 23, 386–418 (2012).

  64. 64.

    Persky, J. Retrospectives: the ethology of Homo economicus. J. Econ. Perspect. 9, 221–231 (1995).

  65. 65.

    Henrich, J. et al. In search of Homo economicus: behavioral experiments in 15 small-scale societies. Am. Econ. Rev. 91, 73–78 (2001).

  66. 66.

    Kahneman, D. & Tversky, A. Prospect theory: an analysis of decision under risk. Econometrica 47, 263–291 (1979).

  67. 67.

    Gintis, H. Beyond Homo economicus: evidence from experimental economics. Ecol. Econ. 35, 311–322 (2000).

  68. 68.

    Thaler, R. H. From homo economicus to homo sapiens. J. Econ. Perspect. 14, 133–141 (2000).

  69. 69.

    Jensen, K., Call, J. & Tomasello, M. Chimpanzees are rational maximizers in an ultimatum game. Science 318, 107–109 (2007).

  70. 70.

    Angrist, J. D. & Pischke, J.-S. The credibility revolution in empirical economics: How better research design is taking the con out of econometrics. J. Econ. Perspect. 24, 3–30 (2010).

  71. 71.

    Camerer, C. F. et al. Evaluating replicability of laboratory experiments in economics. Science 351, 1433–1436 (2016).

  72. 72.

    Besley, T. & Persson, T. Democratic values and institutions. American Economic Review https://www.aeaweb.org/articles?id=10.1257/aeri.20180248&&from=f (American Economic Association, Pittsburgh, PA, USA, 2019).

  73. 73.

    Francois, P. & Zabojnik, J. Trust, social capital, and economic development. J. Eur. Econ. Assoc. 3, 51–94 (2005).

  74. 74.

    Bear, A. & Rand, D. G. Intuition, deliberation, and the evolution of cooperation. Proc. Natl Acad. Sci. USA 113, 936–941 (2016).

  75. 75.

    Gold, J. I. & Shadlen, M. N. Neural computations that underlie decisions about sensory stimuli. Trends Cogn. Sci. 5, 10–16 (2001).

  76. 76.

    Heeger, D. J. Theory of cortical function. Proc. Natl Acad. Sci. USA 114, 1773–1782 (2017).

  77. 77.

    Dayan, P. & Niv, Y. Reinforcement learning: the good, the bad and the ugly. Curr. Opin. Neurobiol. 18, 185–196 (2008).

  78. 78.

    Griffiths, T. L., Kemp, C. & Tenenbaum, J. B. in The Cambridge Handbook of Computational Psychology (ed. Sun, R.) 59–100 (Cambridge Univpersity Press, Cambridge, UK, 2008).

  79. 79.

    Freedman, L. P., Cockburn, I. M. & Simcoe, T. S. The economics of reproducibility in preclinical research. PLoS Biol. 13, e1002165 (2015).

  80. 80.

    Davis, R. et al. Reproducibility Project: cancer biology. eLife https://elifesciences.org/collections/9b1e83d1/reproducibility-project-cancer-biology (2018).

  81. 81.

    Lea, A. J., Tung, J., Archie, E. A. & Alberts, S. C. Developmental plasticity: bridging research in evolution and human health. Evol. Med. Public Health 2017, 162–175 (2018).

  82. 82.

    Wells, J. C. K., Nesse, R. M., Sear, R., Johnstone, R. A. & Stearns, S. C. Evolutionary public health: introducing the concept. Lancet 390, 500–509 (2017).

  83. 83.

    Gluckman, P., Beedle, A., Buklijas, T., Low, F. & Hanson, M. Principles of Evolutionary Medicine. (Oxford University Press, Oxford, UK, 2016).

  84. 84.

    Stearns, S. C., Nesse, R. M., Govindaraju, D. R. & Ellison, P. T. Evolution in health and medicine Sackler colloquium: evolutionary perspectives on health and medicine. Proc. Natl Acad. Sci. USA 107(Suppl 1), 1691–1695 (2010).

  85. 85.

    Nesse, R. M. et al. Evolution in health and medicine Sackler colloquium: making evolutionary biology a basic science for medicine. Proc. Natl Acad. Sci. USA 107(Suppl 1), 1800–1807 (2010).

  86. 86.

    Kerr, N. L. HARKing: hypothesizing after the results are known. Pers. Soc. Psychol. Rev. 2, 196–217 (1998).

  87. 87.

    Mischel, W. The toothbrush problem. APS Observer 21 (2009).

  88. 88.

    Han, S. et al. A cultural neuroscience approach to the biosocial nature of the human brain. Annu. Rev. Psychol. 64, 335–359 (2013).

  89. 89.

    Bolger, D. J., Perfetti, C. A. & Schneider, W. Cross-cultural effect on the brain revisited: universal structures plus writing system variation. Hum. Brain Mapp. 25, 92–104 (2005).

  90. 90.

    Tan, L. H., Laird, A. R., Li, K. & Fox, P. T. Neuroanatomical correlates of phonological processing of Chinese characters and alphabetic words: a meta-analysis. Hum. Brain Mapp. 25, 83–91 (2005).

  91. 91.

    Kobayashi, C., Glover, G. H. & Temple, E. Cultural and linguistic influence on neural bases of ‘theory of mind’: an fMRI study with Japanese bilinguals. Brain Lang. 98, 210–220 (2006).

  92. 92.

    LeWinn, K. Z., Sheridan, M. A., Keyes, K. M., Hamilton, A. & McLaughlin, K. A. Sample composition alters associations between age and brain structure. Nat. Commun. 8, 874 (2017).

  93. 93.

    Coan, J. A., Schaefer, H. S. & Davidson, R. J. Lending a hand: social regulation of the neural response to threat. Psychol. Sci. 17, 1032–1039 (2006).

  94. 94.

    Coan, J. A. et al. Relationship status and perceived support in the social regulation of neural responses to threat. Soc. Cogn. Affect. Neurosci. 12, 1574–1583 (2017).

  95. 95.

    Savalei, V. & Dunn, E. Is the call to abandon P-values the red herring of the replicability crisis? Front. Psychol. 6, 245 (2015).

  96. 96.

    Trotta, R. Bayes in the sky: Bayesian inference and model selection in cosmology. Contemp. Phys. 49, 71–104 (2008).

  97. 97.

    Nielsen, M., Haun, D., Kärtner, J. & Legare, C. H. The persistent sampling bias in developmental psychology: a call to action. J. Exp. Child Psychol. 162, 31–38 (2017).

  98. 98.

    Talhelm, T. et al. Large-scale psychological differences within China explained by rice versus wheat agriculture. Science 344, 603–608 (2014).

  99. 99.

    Dobzhansky, T. Nothing in biology makes sense except in the light of evolution. Am. Biol. Teach. 35, 125–129 (1973).

  100. 100.

    Wilson, M. & Daly, M. Competitiveness, risk taking, and violence: the young male syndrome. Ethol. Sociobiol. 6, 59–73 (1985).

  101. 101.

    Daly, M. & Wilson, M. Homicide. (Transaction Publishers, London, 1988).

  102. 102.

    Richerson, P. J. & Boyd, R. Not by Genes Alone: How Culture Transformed Human Evolution. (University of Chicago Press, Chicago, IL, USA, 2005).

  103. 103.

    Barkow, J. H., Cosmides, L. & Tooby, J. The Adapted Mind: Evolutionary Psychology and the Generation of Culture. (Oxford University Press, Oxford, UK, 1992).

  104. 104.

    Cosmides, L. & Tooby, J. Evolutionary psychology: new perspectives on cognition and motivation. Annu. Rev. Psychol. 64, 201–229 (2013).

  105. 105.

    Confer, J. C. et al. Evolutionary psychology. Controversies, questions, prospects, and limitations. Am. Psychol. 65, 110–126 (2010).

  106. 106.

    Fincher, C. L., Thornhill, R., Murray, D. R. & Schaller, M. Pathogen prevalence predicts human cross-cultural variability in individualism/collectivism. Proc. Biol. Sci. 275, 1279–1285 (2008).

  107. 107.

    Hruschka, D. et al. Impartial institutions, pathogen stress and the expanding social network. Hum. Nat. 25, 567–579 (2014).

  108. 108.

    Laland, K. N., Odling-Smee, J. & Myles, S. How culture shaped the human genome: bringing genetics and the human sciences together. Nat. Rev. Genet. 11, 137–148 (2010).

  109. 109.

    Buss, D. M. The Handbook of Evolutionary Psychology. (Wiley, Hoboken, NJ, USA, 2015).

  110. 110.

    Hoppitt, W. & Laland, K. N. Social Learning: An Introduction to Mechanisms, Methods, and Models. (Princeton University Press, Princeton, NJ, USA, 2013).

  111. 111.

    Boyd, R., Richerson, P. J. & Henrich, J. The cultural niche: why social learning is essential for human adaptation. Proc. Natl Acad. Sci. USA 108(Suppl 2), 10918–10925 (2011).

  112. 112.

    Nielsen, M., Subiaul, F., Galef, B., Zentall, T. & Whiten, A. Social learning in humans and nonhuman animals: theoretical and empirical dissections. J. Comp. Psychol. 126, 109–113 (2012).

  113. 113.

    Whiten, A., McGuigan, N., Marshall-Pescini, S. & Hopper, L. M. Emulation, imitation, over-imitation and the scope of culture for child and chimpanzee. Phil. Trans. R. Soc. Lond. B 364, 2417–2428 (2009).

  114. 114.

    Claidière, N. & Whiten, A. Integrating the study of conformity and culture in humans and nonhuman animals. Psychol. Bull. 138, 126–145 (2012).

  115. 115.

    Chudek, M. & Henrich, J. Culture-gene coevolution, norm-psychology and the emergence of human prosociality. Trends Cogn. Sci. 15, 218–226 (2011).

  116. 116.

    Schmidt, M. F., Rakoczy, H. & Tomasello, M. Young children enforce social norms selectively depending on the violator’s group affiliation. Cognition 124, 325–333 (2012).

  117. 117.

    Brown, G. R., Dickins, T. E., Sear, R. & Laland, K. N. Evolutionary accounts of human behavioural diversity. Phil. Trans. R. Soc. Lond. B 366, 313–324 (2011).

  118. 118.

    McElreath, R., Boyd, R. & Richerson, P. J. Shared norms and the evolution of ethnic markers. Curr. Anthropol. 44, 122–130 (2003).

  119. 119.

    Efferson, C., Lalive, R. & Fehr, E. The coevolution of cultural groups and ingroup favoritism. Science 321, 1844–1849 (2008).

  120. 120.

    Moya, C. Evolved priors for ethnolinguistic categorization: a case study from the Quechua-Aymara boundary in the Peruvian Altiplano. Evol. Hum. Behav. 34, 265–272 (2013).

  121. 121.

    Atran, S. & Henrich, J. The evolution of religion: how cognitive by-products, adaptive learning heuristics, ritual displays, and group competition generate deep commitments to prosocial religion. Biol. Theory 5, 18–30 (2010).

  122. 122.

    Bell, A. V., Richerson, P. J. & McElreath, R. Culture rather than genes provides greater scope for the evolution of large-scale human prosociality. Proc. Natl Acad. Sci. USA 106, 17671–17674 (2009).

  123. 123.

    Norenzayan, A. & Shariff, A. F. The origin and evolution of religious prosociality. Science 322, 58–62 (2008).

  124. 124.

    Richerson, P. et al. Cultural group selection plays an essential role in explaining human cooperation: A sketch of the evidence. Behav. Brain Sci. 39, e30 (2016).

  125. 125.

    Tooby, J., Cosmides, L., Sell, A., Lieberman, D. & Sznycer, D. in Handbook of Approach and Avoidance Motivation Vol. 251 (Lawrence Erlbaum Mahwah, NJ, USA, 2008).

  126. 126.

    von Hippel, W. & Trivers, R. The evolution and psychology of self-deception. Behav. Brain Sci. 34, 1–16, discussion 16–56 (2011).

  127. 127.

    Buss, D. M. How can evolutionary psychology successfully explain personality and individual differences? Perspect. Psychol. Sci. 4, 359–366 (2009).

  128. 128.

    Rand, D. G., Greene, J. D. & Nowak, M. A. Spontaneous giving and calculated greed. Nature 489, 427–430 (2012).

  129. 129.

    Whiten, A. & Erdal, D. The human socio-cognitive niche and its evolutionary origins. Phil. Trans. R. Soc. Lond. B 367, 2119–2129 (2012).

  130. 130.

    Pinker, S. The Language Instinct: the New Science of Language and Mind. (Penguin, London, UK, 1995).

  131. 131.

    Muthukrishna, M. & Henrich, J. Innovation in the collective brain. Phil. Trans. R. Soc. Lond. B 371, 20150192 (2016).

  132. 132.

    Fox, K. C. R., Muthukrishna, M. & Shultz, S. The social and cultural roots of whale and dolphin brains. Nat. Ecol. Evol. 1, 1699–1705 (2017).

  133. 133.

    Laland, K. N., Atton, N. & Webster, M. M. From fish to fashion: experimental and theoretical insights into the evolution of culture. Phil. Trans. R. Soc. Lond. B 366, 958–968 (2011).

  134. 134.

    Muthukrishna, M., Doebeli, M., Chudek, M. & Henrich, J. The cultural brain hypothesis: how culture drives brain expansion, sociality, and life history. PLOS Comput. Biol. 14, e1006504 (2018).

  135. 135.

    Lipschuetz, M. et al. A large head circumference is more strongly associated with unplanned cesarean or instrumental delivery and neonatal complications than high birthweight. Am. J. Obstet. Gynecol. 213, 833.e1–833.e12 (2015).

  136. 136.

    Dominguez-Bello, M. G. et al. Partial restoration of the microbiota of cesarean-born infants via vaginal microbial transfer. Nat. Med. 22, 250–253 (2016).

  137. 137.

    Ravelli, G.-P., Stein, Z. A. & Susser, M. W. Obesity in young men after famine exposure in utero and early infancy. N. Engl. J. Med. 295, 349–353 (1976).

  138. 138.

    St Clair, D. et al. Rates of adult schizophrenia following prenatal exposure to the Chinese famine of 1959-1961. J. Am. Med. Assoc. 294, 557–562 (2005).

  139. 139.

    Muthukrishna, M., Francois, P., Pourahmadi, S. & Henrich, J. Corrupting cooperation and how anti-corruption strategies may backfire. Nat. Hum. Behav. https://doi.org/10.1038/s41562-017-0138 (2017).

  140. 140.

    Muthukrishna, M. Corruption, cooperation, and the evolution of prosocial institutions. SSRN https://doi.org/10.2139/ssrn.3082315 (2017).

  141. 141.

    Henrich, J. Cultural group selection, coevolutionary processes and large-scale cooperation. J. Econ. Behav. Organ. 53, 3–35 (2004).

  142. 142.

    Henrich, J., Boyd, R. & Richerson, P. J. The puzzle of monogamous marriage. Phil. Trans. R. Soc. Lond. B 367, 657–669 (2012).

  143. 143.

    Slingerland, E. & Sullivan, B. Durkheim with data: the database of religious history. J. Am. Acad. Relig. 85, 312–347 (2017).

  144. 144.

    Sullivan, B., Muthukrishna, M., Tappenden, F. S. & Slingerland, E. Exploring the challenges and potentialities of the database of religious history for cognitive historiography. J. Cogn. Historiography 3, 12–31 (2016).

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Acknowledgements

We thank T. Besley, N. Griffiths, S. Heine, K. Jensen, R. Kreuzbauer, K. Laland, D. Muthukrishna, S. Salgado, and J. Sheehy-Skeffington for their helpful comments.

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Affiliations

  1. London School of Economics and Political Science, London, UK

    • Michael Muthukrishna
  2. Harvard University, Cambridge, MA, USA

    • Joseph Henrich
  3. Canadian Institute for Advanced Research (CIFAR), Toronto, Ontario, Canada

    • Joseph Henrich

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The authors declare no competing interests.

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Correspondence to Michael Muthukrishna.

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https://doi.org/10.1038/s41562-018-0522-1