Grossmann I, Rotella A, Hutcherson CA, Sharpinskyi K, Varnum ME, Achter S, Dhami MK, Guo XE, Kara-Yakoubian M, Mandel DR, Raes L, Tay L, Vie A, Wagner L, Adamkovic M, Arami A, Arriaga P, Bandara K, Baník G, Bartoš F, Baskin E, Bergmeir C, Białek M, Børsting CK, Browne DT, Caruso EM, Chen R, Chie BT, Chopik WJ, Collins RN, Cong CW, Conway LG, Davis M, Day MV, Dhaliwal NA, Durham JD, Dziekan M, Elbaek CT, Shuman E, Fabrykant M, Firat M, Fong GT, Frimer JA, Gallegos JM, Goldberg SB, Gollwitzer A, Goyal J, Graf-Vlachy L, Gronlund SD, Hafenbrädl S, Hartanto A, Hirshberg MJ, Hornsey MJ, Howe PD, Izadi A, Jaeger B, Kačmár P, Kim YJ, Krenzler R, Lannin DG, Lin HW, Lou NM, Lua VY, Lukaszewski AW, Ly AL, Madan CR, Maier M, Majeed NM, March DS, Marsh AA, Misiak M, Myrseth KOR, Napan JM, Nicholas J, Nikolopoulos K, O J, Otterbring T, Paruzel-Czachura M, Pauer S, Protzko J, Raffaelli Q, Ropovik I, Ross RM, Roth Y, Røysamb E, Schnabel L, Schütz A, Seifert M, Sevincer AT, Sherman GT, Simonsson O, Sung MC, Tai CC, Talhelm T, Teachman BA, Tetlock PE, Thomakos D, Tse DC, Twardus OJ, Tybur JM, Ungar L, Vandermeulen D, Vaughan Williams L, Vosgerichian HA, Wang Q, Wang K, Whiting ME, Wollbrant CE, Yang T, Yogeeswaran K, Yoon S, Alves VR, Andrews-Hanna JR, Bloom PA, Boyles A, Charis L, Choi M, Darling-Hammond S, Ferguson ZE, Kaiser CR, Karg ST, Ortega AL, Mahoney L, Marsh MS, Martinie MF, Michaels EK, Millroth P, Naqvi JB, Ng W, Rutledge RB, Slattery P, Smiley AH, Strijbis O, Sznycer D, Tsukayama E, van Loon A, Voelkel JG, Wienk MN, Wilkening T (2023)
Publication Type: Journal article
Publication year: 2023
Book Volume: 7
Pages Range: 484-501
Journal Issue: 4
DOI: 10.1038/s41562-022-01517-1
How well can social scientists predict societal change, and what processes underlie their predictions? To answer these questions, we ran two forecasting tournaments testing the accuracy of predictions of societal change in domains commonly studied in the social sciences: ideological preferences, political polarization, life satisfaction, sentiment on social media, and gender–career and racial bias. After we provided them with historical trend data on the relevant domain, social scientists submitted pre-registered monthly forecasts for a year (Tournament 1; N = 86 teams and 359 forecasts), with an opportunity to update forecasts on the basis of new data six months later (Tournament 2; N = 120 teams and 546 forecasts). Benchmarking forecasting accuracy revealed that social scientists’ forecasts were on average no more accurate than those of simple statistical models (historical means, random walks or linear regressions) or the aggregate forecasts of a sample from the general public (N = 802). However, scientists were more accurate if they had scientific expertise in a prediction domain, were interdisciplinary, used simpler models and based predictions on prior data.
APA:
Grossmann, I., Rotella, A., Hutcherson, C.A., Sharpinskyi, K., Varnum, M.E., Achter, S.,... Wilkening, T. (2023). Insights into the accuracy of social scientists’ forecasts of societal change. Nature Human Behaviour, 7(4), 484-501. https://doi.org/10.1038/s41562-022-01517-1
MLA:
Grossmann, Igor, et al. "Insights into the accuracy of social scientists’ forecasts of societal change." Nature Human Behaviour 7.4 (2023): 484-501.
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