The origins of unpredictability in life outcome prediction tasks

Author:

Lundberg Ian1ORCID,Brown-Weinstock Rachel2,Clampet-Lundquist Susan3,Pachman Sarah4,Nelson Timothy J.2,Yang Vicki2,Edin Kathryn24,Salganik Matthew J.245

Affiliation:

1. Department of Information Science, Cornell University, Ithaca, NY 14853

2. Department of Sociology, Princeton University, Princeton, NJ 08544

3. Department of Sociology, St. Joseph’s University, Philadelphia, PA 19131

4. Office of Population Research, Princeton University, Princeton, NJ 08544

5. Center for Information Technology Policy, Princeton University, Princeton, NJ 08544

Abstract

Why are some life outcomes difficult to predict? We investigated this question through in-depth qualitative interviews with 40 families sampled from a multidecade longitudinal study. Our sampling and interviewing process was informed by the earlier efforts of hundreds of researchers to predict life outcomes for participants in this study. The qualitative evidence we uncovered in these interviews combined with a mathematical decomposition of prediction error led us to create a conceptual framework. Our specific evidence and our more general framework suggest that unpredictability should be expected in many life outcome prediction tasks, even in the presence of complex algorithms and large datasets. Our work provides a foundation for future empirical and theoretical work on unpredictability in human lives.

Funder

National Science Foundation

HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development

NICHD

Overdeck Foundation, Princeton University

Publisher

Proceedings of the National Academy of Sciences

Reference49 articles.

1. M. Van Creveld, Seeing Into the Future: A Short History of Prediction (Reaktion Books, 2020).

2. Fragile Families: sample and design

3. Measuring the predictability of life outcomes with a scientific mass collaboration

4. Human decisions and machine predictions;Kleinberg J.;Q. J. Econ.,2018

5. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments

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1. The value of qualitative data in understanding failure in prediction;Proceedings of the National Academy of Sciences;2024-06-27

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