MESOP WATCH NEW : HOW CREATE POLICY MAKERS  HUMAN BEHAVIOR IN PANDEMIC TIMES

2021 Dec;600(7889):478-483.  doi: 10.1038/s41586-021-04128-4. Epub 2021 Dec 8. Megastudies improve the impact of applied behavioural science

Katherine L Milkman  1 Dena Gromet  2 Hung Ho  3   4 Joseph S Kay  2 Timothy W Lee  2   5 Pepi Pandiloski  6 Yeji Park  7 Aneesh Rai  3 Max Bazerman  8 John Beshears  8 Lauri Bonacorsi  9 Colin Camerer  10 Edward Chang  8 Gretchen Chapman  11 Robert Cialdini  12 Hengchen Dai  13 Lauren Eskreis-Winkler  14 Ayelet Fishbach  14 James J Gross  15 Samantha Horn  11 Alexa Hubbard  16 Steven J Jones  17 Dean Karlan  18 Tim Kautz  19 Erika Kirgios  3 Joowon Klusowski  20 Ariella Kristal  21 Rahul Ladhania  22 George Loewenstein  11 Jens Ludwig  6 Barbara Mellers  20 Sendhil Mullainathan  14 Silvia Saccardo  11 Jann Spiess  23 Gaurav Suri  24 Joachim H Talloen  11 Jamie Taxer  15 Yaacov Trope  16 Lyle Ungar  25 Kevin G Volpp  26 Ashley Whillans  8 Jonathan Zinman  27 Angela L Duckworth  28   29

Affiliations

Abstract

Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes1. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time intervals2. The lack of comparability of such individual investigations limits their potential to inform policy. Here, to address this limitation and accelerate the pace of discovery, we introduce the megastudy-a massive field experiment in which the effects of many different interventions are compared in the same population on the same objectively measured outcome for the same duration. In a megastudy targeting physical exercise among 61,293 members of an American fitness chain, 30 scientists from 15 different US universities worked in small independent teams to design a total of 54 different four-week digital programmes (or interventions) encouraging exercise. We show that 45% of these interventions significantly increased weekly gym visits by 9% to 27%; the top-performing intervention offered microrewards for returning to the gym after a missed workout. Only 8% of interventions induced behaviour change that was significant and measurable after the four-week intervention. Conditioning on the 45% of interventions that increased exercise during the intervention, we detected carry-over effects that were proportionally similar to those measured in previous research3-6. Forecasts by impartial judges failed to predict which interventions would be most effective, underscoring the value of testing many ideas at once and, therefore, the potential for megastudies to improve the evidentiary value of behavioural science.

© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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