ArticlePloS one2023
I trust my immunity more than your vaccines: "Appeal to nature" bias strongly predicts questionable health behaviors in the COVID-19 pandemic.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Factors influencing COVID-19 vaccine uptake among vulnerable communities in Texas: Perceptions of 2-1-1 helpline callers.Vaccine · 2025Article
- Strategies to correct vaccine misinformation on social media for pregnant women and the impact of vaccine skepticism.Scientific reports · 2025Article
- Perceived social support and self-stigma as factors of COVID-19 booster vaccination behavior and intention via cognitive coping and emotion regulation among people infected with COVID-19 in Hong Kong.BMC public health · 2025Article
- Lifetime prevalence of questionable health behaviors and their psychological roots: A preregistered nationally representative survey.PloS one · 2024Article
- Prevalence of questionable health behaviours in Serbia and their psychological roots: protocol for a nationally representative survey.BMJ open · 2023Article
- Tracking variations in daily questionable health behaviors and their psychological roots: a preregistered experience sampling study.Scientific reports · 2023Article
- Observational
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Health care policies often rely on public cooperation, especially during a health crisis. However, a crisis is also a period of uncertainty and proliferation of health-related advice: while some people adhere to the official recommendations, others tend to avoid them and resort to non-evidence based, pseudoscientific practices. People prone to the latter are often the ones endorsing a set of epistemically suspect beliefs, with two being particularly relevant: conspiratorial pandemic-related beliefs, and the appeal to nature bias regarding COVID-19 (i.e., trusting natural immunity to fight the pandemic). These in turn are rooted in trust in different epistemic authorities, seen as mutually exclusive: trust in science and trust in the "wisdom of the common man". Drawing from two nationally representative probability samples, we tested a model in which trust in science/wisdom of the common man predicted COVID-19 vaccination status (Study 1, N = 1001) or vaccination status alongside use of pseudoscientific health practices (Study 2, N = 1010), through COVID-19 conspiratorial beliefs and the appeal to nature bias regarding COVID-19. As expected, epistemically suspect beliefs were interrelated, related to vaccination status, and to both types of trust. Moreover, trust in science had both a direct and indirect effect on vaccination status through both types of epistemically suspect beliefs. Trust in the wisdom of the common man had only an indirect effect on vaccination status. Contrary to the way they are typically portrayed, the two types of trust were unrelated. These results were largely replicated in the second study, in which we added pseudoscientific practices as an outcome; trust in science and the wisdom of the common man contributed to their prediction only indirectly, through epistemically suspect beliefs. We offer recommendations on how to make use of different types of epistemic authorities and how to tackle unfounded beliefs in communication during a health crisis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.