ArticleCanadian review of sociology = Revue canadienne de sociologie2026
Paranormal Beliefs in Canada.
Article in Canadian review of sociology = Revue canadienne de sociologie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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2 authors.
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Abstract
There has been no nationally representative examination of paranormal beliefs in Canada for over two decades, even though Canada has undergone major social shifts in that time, such as greater secularization, which could affect the prevalence of paranormal beliefs. This research note analyzes a nationally representative sample of Canadians to determine the prevalence of paranormal beliefs, identifies which sociodemographic factors are related to these beliefs, and determines which variables are most substantively important for explaining variance in paranormal beliefs. Overall, a little under half of Canadians, 44.8 percent, believe in at least one paranormal phenomenon, and another 31.3 percent do not believe in any but report neutrality about at least one. Only a little under a quarter, 23.8 percent, firmly do not believe in any paranormal phenomena. Respondents were most likely to believe in ghostly hauntings and least likely to believe in several Canadian cryptids, or undiscovered creatures. Gender, education, sexual identity, age, and religion-related variables were all associated with paranormal beliefs. Follow-up analyses showed that religious identity and how religious a participant considered themselves to be explained the most variance in the models. Overall, paranormal beliefs are common in Canada, and religion remains important for understanding phenomena such as non-scientific beliefs.
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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.