Russian roulette: the need for stochastic potential outcomes when utilities depend on counterfactuals

Summary It has been proposed in medical decision analysis to express the ‘first, do no harm’ principle as an asymmetric utility function in which the loss from killing a patient would count more than the gain from saving a life. Such a utility depends on unrealized potential outcomes, and we show how this yields a paradoxical decision recommendation in a simple hypothetical example involving games of Russian roulette. The problem is resolved if we abandon the stable unit treatment value assumption and allow the potential outcomes to be random variables. This leads us to conclude that, if you are interested in this sort of asymmetric utility function, you need to move to the stochastic potential outcome framework. We discuss the implications of the choice of parameterization in this setting.

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Publication Details

Journal
Biometrika
Published
2025-01-01
DOI
https://doi.org/10.1093/biomet/asaf062
Primary Topic
Global Energy Security and Policy
Type
article
Field-Weighted Citation Impact
0.00
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article

Russian roulette: the need for stochastic potential outcomes when utilities depend on counterfactuals

Jonas M. Mikhaeil, Andrew Gelman
Biometrika
Global Energy Security and Policy
article

Russian roulette: the need for stochastic potential outcomes when utilities depend on counterfactuals

Jonas M. Mikhaeil, Andrew Gelman
article en

Abstract

Summary It has been proposed in medical decision analysis to express the ‘first, do no harm’ principle as an asymmetric utility function in which the loss from killing a patient would count more than the gain from saving a life. Such a utility depends on unrealized potential outcomes, and we show how this yields a paradoxical decision recommendation in a simple hypothetical example involving games of Russian roulette. The problem is resolved if we abandon the stable unit treatment value assumption and allow the potential outcomes to be random variables. This leads us to conclude that, if you are interested in this sort of asymmetric utility function, you need to move to the stochastic potential outcome framework. We discuss the implications of the choice of parameterization in this setting.

BiometrikaVol. 112(4)
Columbia University (US)
Openalex Percentile: Top 69%
Global Energy Security and Policy
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