COVID-19 death toll predictions show that triggering counterfactual thinking deteriorates judgmental performance
Abstract Background Effective communication during a health crisis is critical as it directly influences psychological and behavioral responses that will shape the further progression of the crisis. Past research has suggested that one type of cognitive mechanism that is likely to be affected by the...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
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| Series: | Communications Medicine |
| Online Access: | https://doi.org/10.1038/s43856-025-00751-8 |
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| Summary: | Abstract Background Effective communication during a health crisis is critical as it directly influences psychological and behavioral responses that will shape the further progression of the crisis. Past research has suggested that one type of cognitive mechanism that is likely to be affected by the framing of public health messages relates to counterfactual thinking. Methods Based on 6731 incentivized daily forecasts collected over 377 days (from April 2020–May 2021), we investigate the role of triggering counterfactual thinking when interpreting public information regarding the daily US death toll from COVID-19. Results Here we show that individuals who engaged in thinking about “interventions that could have led to an alternative evolution of the death toll” prior to making forecasts exhibit greater judgmental bias in their predictions compared to the control group. Specifically, subjects in the treatment group tend to generate upward counterfactuals and underestimate the death toll, potentially due to anchoring on more favorable scenarios and insensitivity to trend changes. Interestingly, this behavior is also observed among individuals who had recovered from COVID-19 (or someone in their close social circle). Conclusions Our findings underscore the importance of using debiasing strategies and neutral communication during health crises to mitigate the generation of upward counterfactuals, thus reducing the likelihood of systematic misperceptions and flawed decision-making. |
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| ISSN: | 2730-664X |