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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2023 Aug 17;120(34):e2312763120. doi: 10.1073/pnas.2312763120

Correction for Buyalskaya et al., What can machine learning teach us about habit formation? Evidence from exercise and hygiene

PMCID: PMC10450439  PMID: 37590420

Psychological and Cognitive Sciences Correction for “What can machine learning teach us about habit formation? Evidence from exercise and hygiene,” by Anastasia Buyalskaya, Hung Ho, Katherine L. Milkman, Xiaomin Li, Angela L. Duckworth, and Colin Camerer, which published April17, 2023; 10.1073/pnas.2216115120 (Proc. Natl. Acad. Sci. U.S.A. 120, e2216115120).

The authors note that on page 3, right column, third full paragraph, line 4, “The median estimated time it takes to reach the 95% asymptote across all gym goers well fit by the exponential model is 122 to 226 d or about 4 to 7 mo (SI Appendix, Table S8).” should instead appear as “The estimated time it takes to reach the 95% asymptote across all gym goers well fit by the exponential model is 68 to 78 d, or about 2 to 3 mo (SI Appendix, Table S8).” The online version has been corrected.

In addition to this text change, the authors note that both Fig. 2 of the main manuscript and SI Appendix, Table S8 in the SI Appendix appeared incorrectly. The corrected figure and its legend appear below. The online version of Fig. 2 and the SI Appendix have been corrected.

Fig. 2.

Fig. 2.

Estimation of the speed of habit formation for gym attendance for the second lowest (Left) and second highest (Right) deciles by sample size. Note that the x-axes are different because, by construction, the deciles have different lengths of sampled time. The times to habit formation in these two deciles (shown by where the vertical blue line intersects the x axis) are 68 (Left) and 77 (Right) d.


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