EconPapers    
Economics at your fingertips  
 

The Mickey Mouse problem: Distinguishing religious and fictional counterintuitive agents

Thomas Swan and Jamin Halberstadt

PLOS ONE, 2019, vol. 14, issue 8, 1-15

Abstract: The Mickey Mouse problem refers to the difficulty in predicting which supernatural agents are capable of eliciting belief and religious devotion. We approached the problem directly by asking participants to invent a “religious” or a “fictional” agent with five supernatural abilities. Compared to fictional agents, religious agents were ascribed a higher proportion of abilities that violated folk psychology or that were ambiguous–violating nonspecific or multiple domains of folk knowledge–and fewer abilities that violated folk physics and biology. Similarly, participants rated folk psychology violations provided by the experimenter as more characteristic of religious agents than were violations of folk physics or folk biology, while fictional agents showed no clear pattern. Religious agents were also judged as more potentially beneficial, and more ambivalent (i.e., similar ratings of benefit and harm), than fictional agents, regardless of whether the agents were invented or well-known to participants. Together, the results support a motivational account of religious belief formation that is facilitated by these biases.

Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0220886 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 20886&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0220886

DOI: 10.1371/journal.pone.0220886

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().

 
Page updated 2025-03-19
Handle: RePEc:plo:pone00:0220886