Historical narratives about the COVID-19 pandemic are motivationally biased

Nature. 2023 Nov;623(7987):588-593. doi: 10.1038/s41586-023-06674-5. Epub 2023 Nov 1.

Abstract

How people recall the SARS-CoV-2 pandemic is likely to prove crucial in future societal debates on pandemic preparedness and appropriate political action. Beyond simple forgetting, previous research suggests that recall may be distorted by strong motivations and anchoring perceptions on the current situation1-6. Here, using 4 studies across 11 countries (total n = 10,776), we show that recall of perceived risk, trust in institutions and protective behaviours depended strongly on current evaluations. Although both vaccinated and unvaccinated individuals were affected by this bias, people who identified strongly with their vaccination status-whether vaccinated or unvaccinated-tended to exhibit greater and, notably, opposite distortions of recall. Biased recall was not reduced by providing information about common recall errors or small monetary incentives for accurate recall, but was partially reduced by high incentives. Thus, it seems that motivation and identity influence the direction in which the recall of the past is distorted. Biased recall was further related to the evaluation of past political action and future behavioural intent, including adhering to regulations during a future pandemic or punishing politicians and scientists. Together, the findings indicate that historical narratives about the COVID-19 pandemic are motivationally biased, sustain societal polarization and affect preparation for future pandemics. Consequently, future measures must look beyond immediate public-health implications to the longer-term consequences for societal cohesion and trust.

MeSH terms

  • Attitude to Health*
  • COVID-19 Vaccines
  • COVID-19* / epidemiology
  • Disaster Planning / methods
  • Disaster Planning / trends
  • Health Policy
  • Humans
  • Mental Recall*
  • Motivation*
  • Pandemics* / prevention & control
  • Politics
  • Prejudice* / psychology
  • Public Health* / methods
  • Public Health* / trends
  • Public Opinion
  • Risk
  • SARS-CoV-2
  • Trust
  • Vaccination / statistics & numerical data

Substances

  • COVID-19 Vaccines