Carlos S. Alvarado, PhD, Research Fellow, Parapsychology Foundation

Here is a new survey of exceptional experiences.

Helané Wahbeh, Dean Radin, Julia Mossbridge, Cassandra Vieten, and Arnaud Delorme, Exceptional Experiences Reported by Scientists and Engineers. Explore: The Journal of Science and Healing, 2018, 14(5), 329-341. doi: 10.1016/j.explore.2018.05.002. Epub 2018 Aug 2. (First author’s email wahbehh@ohsu.edu)

Helané Wahbeh

Helané Wahbeh

Dean Radin 4

Dean Radin

Julia Mossbridge 7

Julia Mossbridge

Cassandra Vieten

Cassandra Vieten

Arnaud Delorme

Arnaud Delorme

Abstract

CONTEXT: Throughout history people have reported exceptional experiences that appear to transcend the everyday boundaries of space and time, such as perceiving someone’s thoughts from a distance. Because such experiences are associated with superstition, and some violate currently accepted materialist conventions, one might assume that scientists and engineers would be much less likely to report instances of these experiences than the general population. OBJECTIVES: To evaluate 1) the prevalence of exceptional human experiences (EHEs), 2) the level of paranormal belief, 3) the relationship between them, and 4) potential predictors of EHEs in three groups. PARTICIPANTS: Potential volunteers were randomly selected to receive invitations for an anonymous survey. MAIN MEASURES: Data were collected on 25 different types of EHEs, demographics, religious or spiritual affiliations, paranormal beliefs, mental health, and personality traits. Group differences were analyzed with chi-square tests and analysis of variance, and predictors were evaluated with a general linear model. RESULTS: 94.0% of the general population (n = 283), 93.2% of scientists and engineers (n = 175), and 99.3% of enthusiasts (n = 441) endorsed at least one EHE (X2(2) = 21.1, p < 0.0005). Paranormal belief was highest in EHE enthusiasts, followed by scientists and the general population F(2,769) = 116.2, p < 0.0005). Belief was positively correlated with experience (r = 0.61, p < 0.0005). An exploratory general linear model showed that variables such as mental health, personality, impact and family history predict the endorsement and frequency of EHEs. This study indicates that EHEs occur frequently in both the general population and in scientists and engineers.

 

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