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Affluence boosted intelligence? How the interaction between cognition and environment may have produced an eighteenth-century Flynn effect during the Industrial Revolution

Published online by Cambridge University Press:  20 November 2019

Max van der Linden
Affiliation:
Department of Psychology, University of Amsterdam, 1018 WT Amsterdam, The Netherlands. m.a.vanderlinden@uva.nldennyborsboom@gmail.comhttp://www.uva.nl/en/profile/l/i/m.a.vanderlinden/m.a.vanderlinden.html https://dennyborsboom.com/
Denny Borsboom
Affiliation:
Department of Psychology, University of Amsterdam, 1018 WT Amsterdam, The Netherlands. m.a.vanderlinden@uva.nldennyborsboom@gmail.comhttp://www.uva.nl/en/profile/l/i/m.a.vanderlinden/m.a.vanderlinden.html https://dennyborsboom.com/

Abstract

Cognition played a pivotal role in the acceleration of technological innovation during the Industrial Revolution. Growing affluence may have provided favourable environmental conditions for a boost in cognition, enabling individuals to tackle more complex (industrial) problems. Dynamical systems thinking may provide useful tools to describe sudden transitions like the Industrial Revolution, by modelling the recursive feedback between psychology and environment.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2019 

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References

Dickens, W. T. & Flynn, J. R. (2001) Heritability estimates versus large environmental effects: The IQ paradox resolved. Psychological Review 108:346–69.Google Scholar
Flynn, J. R. (1987) Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin 101:171–91.Google Scholar
Flynn, J. R. (2007) What is intelligence? Beyond the Flynn effect. Cambridge University Press.Google Scholar
Hackman, D. A., Farah, M. J. & Meaney, M. J. (2010) Socioeconomic status and the brain: Mechanistic insights from human and animal research. Nature Reviews Neuroscience 11(9):651–59.Google Scholar
Haushofer, J. & Fehr, E. (2014) On the psychology of poverty. Science 344(6186):862–67. Available at: https://doi.org/10.1126/science.1232491.Google Scholar
Kempermann, G., Kuhn, H. G. & Gage, F. H. (1997) More hippocampal neurons in adult mice living in an enriched environment. Nature 386(6624):493–95.Google Scholar
Mani, A., Mullainathan, S., Shafir, E. & Zhao, J. (2013) Poverty impedes cognitive function. Science 341(6149):976–80. Available at: https://doi.org/10.1126/science.1238041.Google Scholar
Scheffer, M. (2009) Critical transitions in nature and society. Princeton University Press.Google Scholar
Scheffer, M., Bascompte, J., Brock, W. A., Brovkin, V., Carpenter, S. R., Dakos, V., Held, H., van Nes, E. H., Rietkerk, M. & Sugihara, G. (2009) Early-warning signals for critical transitions. Nature 461:5359.Google Scholar
Van Der Maas, H. L., Dolan, C. V., Grasman, R. P., Wicherts, J. M., Huizenga, H. M. & Raijmakers, M. E. (2006) A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Review 113:842–61.Google Scholar
Wicherts, J. M., Borsboom, D. & Dolan, C. V. (2009) Why national IQs do not support evolutionary theories of intelligence. Personality and Individual Differences 48: 9196.Google Scholar