Can We Foresee the Future? Explaining and Predicting Cultural Change | SPSP

Igor Grossmann, Michael E. W. Varnum in their roles as; editor of the blog of Society for Personality and Social Psychology) Can We Foresee the Future? Explaining and Predicting Cultural Change; In That Certain Blog; 2017-10-17.

tl;dr → Yes.  Betteridge’s Law fails.
ahem → No. Betteridge’s Law holds. Surely no one can know the future, and anyone who says they can is either high or a fool, perhaps both.  One can problematize quibble on the epistemology sense of the word “to know,” if you think you have time for that sort of thing.

Occasion

Michael E. W. Varnum, Igor Grossmann. (2017). Cultural change: The how and the why. In Perspectives on Psychological Science. DOI:10.1177/1745691617699971

Theme

The promotional build running up to the release of that certain sequel (2017) to the movie Blade Runner (1982) which is in turn based on a short novel by Philip K. Dick entitled Do Androids Dream of Electric Sheep? (Doubleday 1968) [Answer: No (whereas Androids, after the Ice Cream Sandwich release, are functionally people too, being as they feel pain and love, as eloquently and forcefully testified by Rutger Hauer in a monologue performed so memorably on that dark & rainy night), again, Betteridge's Law holds, c.f. Jimi Wales' Wiki, Jimi Wales' Wiki].

Claimed

A means & method for producing new predictions, which is better.

  • Uniqueness.
  • Rigorous
    • Theory-Driven [not Theory-Laden].
    • Testable [falsifiable]
  • Empirical.
    • Documentation
      Whereas sociology is either slow journalism [documentation] or activism [promotion] in service to personal ideals.
    • Repeatable
      Replicatability is not claimed.  It’s a best practice for high fidelity journalism.

<quote>What is unique is a rigorous theory-driven attempt to not only document but to test explanations for patterns of societal change empirically </quote>

Positioning
The enumerated [cultural] changes are features of the ecology [our ecologies].
<quote>This emerging work suggests <snide>asserts</snide> that among the most powerful contributors to cultural changes in areas like individualism, gender equality, and happiness are shifts in essential features of our ecologies.</quote>
This schema was shown in animal behavior; now it is replicated with people [our people].
<quote>The idea that variations in ecological dimensions and cues like scarcity or population density might be linked to behavioral adaptations has been widely explored in animal kingdom, and recently started to gain prominence as a way to explain variations in human behavior.</quote>

  • Ellis, Bianchi, Griskevicius, & Frankenhuis, 2017.
  • Sng, Neuberg, Varnum, & Kenrick, 2017.

Mentions

  • It’s an “implications” paper:
    <quote>but also has fundamental implications for psychometric assumptions and replicability in psychological science.</quote>
  • <quote>Neither experts nor lay people do much better than chance
    as “proven” in: Tetlock, 2006; Tetlock & Gardner, 2016.</quote>
  • <quote>psychological phenomena unfold within a temporal context,</quote> → <fancier>events occur over spans of time; therefor psychological events occur over spans of time<fancier>,
    the insight is attributed to Kurt Lewin and Lev Vygotsky; unnamed “other theorists.”
  • ngrams, as mentioned in Google Books.
  • cross-lagged statistical models
  • cross-correlation functions
  • tests of Granger causality
  • SES (Socio-Economic Status; i.e. Marx-archetype class.
  • The Misery Index, of [NAME] Okun.
  • ecological framework
  • big data
  • econometric tools
  • insights from machine learning
  • predictive science of cultural change.
  • emerging science of cultural change
  • predictive psychological science (Yarkoni & Westfall, 2017)

Referenced

  • Ellis, B. J., Bianchi, J., Griskevicius, V., & Frankenhuis, W. E. (2017). Beyond risk and protective factors: An adaptation-based approach to resilience. Perspectives on Psychological Science, 12(4), 561–587. DOI:10.1177/1745691617693054
  • Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101(2), 171 – 191. DOI:10.1037/0033-2909.101.2.171.
  • Greenfield, P. M. (2017). Cultural change over time: Why replicability should not be the gold standard in psychological science. Perspectives on Psychological Science, 12(5), 762-771. DOI:10.1177/1745691617707314
  • Grossmann, I. & Varnum, M. E. W. (2015). Social structure, infectious diseases, disasters, secularism, and cultural change in America. Psychological Science, 26(3) 311-324. DOI:10.1177/0956797614563765
  • Henrich, J., Heine, S.J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33, 62–135. doi:10.1017/S0140525X0999152X
  • Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind (revised and expanded). New York, NY: McGraw-Hill I
  • liev, R., Hoover, J., Dehghani, M., & Axelrod, R. (2016). Linguistic positivity in historical texts reflects dynamic environmental and psychological factors. Proceedings of the National Academy of Sciences of the U.S.A, 113(49), 7871-7879. DOI:10.1073/pnas.1612058113
  • Oishi, S., Kesebir, S., & Diener, E. (2011). Income inequality and happiness. Psychological science, 22(9), 1095-1100. DOI:10.1177/0956797611417262
  • Putnam, R. D. (1995). Bowling alone: America’s declining social capital. Journal of Democracy, 6(1), 65-78.
  • Putnam, R. D. (2000). Bowling alone: America’s declining social capital. In Culture and politics (pp. 223-234). Palgrave Macmillan US.
  • Santos, H. C., Varnum, M. E. W., Grossmann, I. (2017). Global increases in individualism. Psychological Science. DOI:10.1177/0956797617700622
  • Sng, O., Neuberg, S. L., Varnum, M. E., & Kenrick, D. T. (2017). The crowded life is a slow life: Population density and life history strategy. Journal of Personality and Social Psychology, 112(5), 736 754. DOI:10.1037/pspi0000086
  • Tetlock, P. E. (2006). Expert Political Judgment. How Good Is It? How Can We Know? Princeton, NJ: Princeton University Press.
  • Tetlock, P. E., & Gardner, D. Superforecasting: The art and science of prediction. Broadway Books.
  • Trahan, L. H., Stuebing, K. K., Fletcher, J. M., & Hiscock, M. (2014). The Flynn effect: A meta-analysis. Psychological Bulletin, 140(5), 1332 – 1360. DOI:10.1037/a0037173
  • Twenge, J. M., & Campbell, W. K. (2001). Age and birth cohort differences in self-esteem: A cross-temporal meta-analysis. Personality and Social Psychology Review, 5(4), 321-344. DOI:10.1207/S15327957PSPR0504_3
  • Twenge, J. M., Konrath, S., Foster, J. D., Keith Campbell, W., & Bushman, B. J. (2008). Egos inflating over time: A cross-temporal meta-analysis of the Narcissistic Personality Inventory. Journal of Personality, 76(4), 875-902. DOI:10.1111/j.1467-6494.2008.00507.x
  • Varnum, M. E. W. & Grossmann, I. (2017). Cultural change: The how and the why. Perspectives on Psychological Science. DOI:10.1177/1745691617699971
  • Varnum, M. E. W. & Grossmann, I. (2016). Pathogen prevalence is associated with cultural changes in gender equality. Nature Human Behaviour, 1(0006). doi:10.1038/s41562-016-0003
  • Yarkoni, T., & Westfall, J. A. (2017). Choosing prediction over explanation in psychology: lessons from machine learning. Perspectives on Psychological Science. DOI:10.1177/1745691617693393

Separately noted.

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