Warning: Warnings Can Backfire Even When They Provide New and Important Information

ABSTRACT We clarify the conditions under which warnings that provide useful information backfire. Our analysis is based on three observations: (1) warnings can increase the attention given to the warned‐against behavior, (2) in many settings, counterproductive warned‐against behaviors (like texting while driving) are typically rewarding, and (3) decisions from experience reflect insufficient sensitivity to rare outcomes. A simple model that abstracts the implications of these observations predicts that a backfiring effect initially emerges when the warned‐against behavior is unlikely to be considered without the warning. In addition, the model predicts an increase in the choice rate of the warned‐against behavior, with experience, when the probability of losing from the warned‐against behavior is low. Experiment 1 tests and supports these predictions in the context of warnings concerning risky clicks. Experiments 2 and 3 demonstrate the generality of these predictions in more complex settings that involve warnings concerning danger zones and misinformation.

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Publication Details

Journal
Journal of Behavioral Decision Making
Published
2026-03-27
DOI
https://doi.org/10.1002/bdm.70077
Primary Topic
Safety Warnings and Signage
Type
article
Field-Weighted Citation Impact
0.00
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article

Warning: Warnings Can Backfire Even When They Provide New and Important Information

Michael Sobolev, Yefim Roth, Efrat Aharonov Majar, Ido Erev
Journal of Behavioral Decision Making
Safety Warnings and Signage
article

Warning: Warnings Can Backfire Even When They Provide New and Important Information

Michael Sobolev, Yefim Roth, Efrat Aharonov Majar, Ido Erev
article en

Abstract

ABSTRACT We clarify the conditions under which warnings that provide useful information backfire. Our analysis is based on three observations: (1) warnings can increase the attention given to the warned‐against behavior, (2) in many settings, counterproductive warned‐against behaviors (like texting while driving) are typically rewarding, and (3) decisions from experience reflect insufficient sensitivity to rare outcomes. A simple model that abstracts the implications of these observations predicts that a backfiring effect initially emerges when the warned‐against behavior is unlikely to be considered without the warning. In addition, the model predicts an increase in the choice rate of the warned‐against behavior, with experience, when the probability of losing from the warned‐against behavior is low. Experiment 1 tests and supports these predictions in the context of warnings concerning risky clicks. Experiments 2 and 3 demonstrate the generality of these predictions in more complex settings that involve warnings concerning danger zones and misinformation.

Journal of Behavioral Decision MakingVol. 39(2)
University of Southern California (US), Technion – Israel Institute of Technology (IL), National Library of Israel (IL), The Ohio State University (US), University of Haifa (IL)
Openalex Percentile: Top 12%
Safety Warnings and Signage
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