Selection Bias in Psychedelic Research: Comparing Self-Reported Quality-Of-Life Impact Between Enthusiasts and a General Population Sample
Jonathan Bendz, Linus Schäfer, David Sjöström, Sverker Sikström, Petri Kajonius
Journal of Psychoactive Drugs March 18, 2026 DOI: 10.1080/02791072.2026.2644856 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Cross-sectional survey Peer reviewed |
|---|---|
| Sample size | 1,182 |
| Population | Adults with prior psychedelic experience |
| Keywords | Sample material Selection bias Population Extraversion and introversion Sample size determination Sampling bias Analysis of covariance Quality philosophy Selection genetic algorithm Response bias Large sample Empirical research |
| Key findings | Self-reported quality-of-life impact was significantly greater among psychedelic enthusiasts than a general population sample, and sample membership was the strongest predictor of this impact even after controlling for mindset, setting, motivation, and personality. |
Abstract
Psychedelic experiences have been associated with improved quality of life, but many studies rely on samples of enthusiasts, raising concerns about selection bias. This study examined whether self-reported quality-of-life impact differed between a convenience sample of psychedelic enthusiasts and a general population sample recruited through Prolific, and whether sample differences persisted after controlling for mindset, setting, motivation, and personality. A total of N = 1,182 participants (N = 583 enthusiasts; N = 599 general sample) with prior psychedelic experience completed an online survey assessing perceived impact, contextual factors, motivation for use, and Big Five personality. Between-group differences were analyzed using Welch’s t-tests, Pearson´s chi-squared tests and Mann-Whitney-Wilcoxon tests. A Type III ANCOVA was used to assess whether sample differences in quality-of-life impact remained after controlling for relevant covariates. Enthusiasts reported significantly greater quality-of-life impact (d = 0.84), higher openness, extraversion and agreeableness, more favorable mindsets and settings, and a higher frequency of personal growth motives. In the ANCOVA, sample membership was the strongest predictor of quality-of-life impact, followed by setting, motivation, openness, and mindset. These findings provide empirical clarification of how enthusiast-leaning recruitment strategies can shape reported outcomes in psychedelic research. Results underscore the need to consider sampling frames when interpreting reported benefits and to prioritize representative recruitment in future psychedelic research.
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