'PEAK-IN-DARIEN' ENCOUNTERS WITH THE DECEASED IN NEAR-DEATH EXPERIENCES.
Published In: Journal of the Society for Psychical Research, 2024, v. 88, n. 2. P. 65 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: King, Robert A. 3 of 3
Abstract
The perceptional phenomenon of seeing presumed deceased people is common across cultures and occurs under life-threating or near-death conditions, during times of bereavement, or in association with other types of circumstances. Although these events are sometimes interpreted by some researchers as subjective hallucinations or visionary experiences of some sort, other researchers have argued that such are genuine encounters with the deceased, insisting that they provide evidence for the survival hypothesis, which suggests that the human ego continues as a conscious entity beyond death. In particular, they have asserted that this is strongly demonstrated by what are referred to as Peak-in-Darien experiences in which the percipient either (a) encounters a known personage whom they did not yet know had died or (b) encounters a deceased personage they had never known in life with supposed evidential support in hindsight from conversations with relatives and/or photographs taken prior to that person's death. This paper focuses specifically on Peak-in-Darien experiences that occur during neardeath experiences, elucidating possible alternative explanations for their occurrence that need to be considered. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of the Society for Psychical Research. 2024/04, Vol. 88, Issue 2, p65
- Document Type:Article
- Subject Area:Psychology
- Publication Date:2024
- ISSN:0037-9751
- Accession Number:180983301
- Copyright Statement:Copyright of Journal of the Society for Psychical Research is the property of Society for Psychical Research and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.