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Advances in Remote-Viewing Analysis

πŸ“„ Original study β†—
May, Edwin C, Utts, Jessica M, Humphrey, Beverly S, Luke, Wanda L. W, Frivold, Thane J, Trask, Virginia V β€’ 1990 STAR GATE Era β€’ remote_viewing

πŸ“Œ Appears in:

Plain English Summary

This paper tackled a big problem in remote viewing research (where people try to 'see' distant targets using only their minds): how do you score whether someone actually described a target correctly without relying on subjective human opinion? The team, including Jessica Utts who later became president of the American Statistical Association, borrowed a clever math tool called fuzzy sets β€” essentially a way to handle vagueness numerically β€” to automatically measure how accurate and reliable a viewer's descriptions were. They tested it on six remote-viewing trials, and impressively, the automated scores lined up well with what 37 independent human judges thought. The combined statistics were significant, with a notably strong correlation of 0.67. They also sorted 200 targets into 19 distinct visual groups, giving researchers a principled way to pick fair decoy images for future experiments.

Research Notes

Key methodology paper from the Stargate/SRI remote viewing program. Co-authored by Jessica Utts (later ASA president) and May (program director). Represents the most rigorous attempt of its era to move RV evaluation from subjective global judgments to automated quantitative scoring. The fuzzy set approach directly influenced later analytical developments and connects to May's decision augmentation theory.

Fuzzy set technology is applied to automate analysis of remote-viewing data from SRI International's government-sponsored program. The technique encodes target and response material as fuzzy subsets of a 131-element Universal Set of Elements, then computes accuracy (percent of target correctly described), reliability (percent of response that was correct), and a figure of merit (FM = accuracy Γ— reliability). Tested on 6 RV trials from a photomultiplier experiment against ground truth from 37 independent analysts, the FM values showed good agreement with subjective assessments. Combined result: z = 1.633, p < .05, r = 0.67. Cluster analysis of 200 targets yielded 19 visually distinct groups, providing a quantitative definition of target orthogonality for constructing balanced decoy sets.

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πŸ“‹ Cite this paper
APA
May, Edwin C, Utts, Jessica M, Humphrey, Beverly S, Luke, Wanda L. W, Frivold, Thane J, Trask, Virginia V (1990). Advances in Remote-Viewing Analysis. Journal of Parapsychology.
BibTeX
@article{may_1990_advances,
  title = {Advances in Remote-Viewing Analysis},
  author = {May, Edwin C and Utts, Jessica M and Humphrey, Beverly S and Luke, Wanda L. W and Frivold, Thane J and Trask, Virginia V},
  year = {1990},
  journal = {Journal of Parapsychology},
}