Predicting the Unpredictable: 75 Years of Experimental Evidence
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Plain English Summary
This is the big one — a sweeping 75-year review of every major lab experiment testing whether humans can somehow perceive the future. Dean Radin pulled together four different types of precognition research into one massive synthesis. Forced-choice experiments (like guessing cards) spanning 309 studies from 1935 to 1987 showed a small but wildly statistically significant effect. Remote viewing studies produced much larger effects. Presentiment research — where your body reacts to something before it happens — showed robust results with a Bayes Factor (a statistical confidence measure) of nearly 3 trillion to one. And Daryl Bem's decision-based experiments hit 8 out of 9 significant results. Here's the headline number that really turns heads: across 101 studies from 25 independent labs in 11 countries, 84% showed results in the predicted direction. The odds against that happening by chance? About 1.3 trillion to one. Perhaps most surprisingly, higher-quality studies actually produced larger effects — the opposite of what you'd expect if sloppy methods were driving the results. The effect sizes turned out comparable to typical findings in mainstream social psychology. That said, it's worth noting this review was conducted by the field's leading presentiment researcher, which raises fair questions about potential bias in which studies were selected and how they were interpreted.
Actual Paper Abstract
From time immemorial, people have reported foreknowledge of future events. To determine whether such experiences are best understood via conventional explanations, or whether a retrocausal phenomenon might be involved in some instances, researchers have conducted hundreds of controlled laboratory experiments over the past 75 years. These studies fall into four general classes, and each class has generated repeatable evidence consistent with retrocausation. The statistical results for a class of forced-choice studies is associated with odds against chance of about 1024; for a class of free-response studies, odds about 1020; for psychophysiological-based studies, odds about 1017; and for implicit decision studies, odds about 1010. Effect sizes observed in the latter three classes are nearly identical, indicating replication of similar underlying effects. These effects are also in close agreement with the average effect size across 25,000 conventional social psychology experiments conducted over the last century, suggesting that retrocausal phenomena may not be especially unique, at least not in terms of the magnitude of effect. Bayesian analyses of the most recent classes of experiments confirm that the evidence is strongly in favor of a genuine effect, with Bayes Factors ranging from 13,669 to 1 for implicit decision experiments, to 2.9 x 1013 to 1 for psychophysiological designs. For the two most recent classes of studies examining retrocausal effects via unconscious physiological or behavioral measures, 85 of 101 studies (84%) reported by 25 different laboratories from the United States, Italy, Spain, Holland, Austria, Sweden, England, Scotland, Iran, Japan, and Australia, have produced results in the direction predicted by a retrocausal effect (odds against chance = 1.3 x 1012, via a sign test). Assessment of the methodologies used in these studies has not identified plausible conventional alternatives for the observed outcomes, suggesting the existence of a genuine retrocausal phenomenon.
Research Notes
Landmark review synthesizing entire precognition literature. The 84% replication rate across 25 independent international labs is the strongest argument against lab-specific artifacts. Frequently cited in presentiment (Controversy #3) and Bem (Controversy #2) debates. Provides quantitative foundation for claim that retrocausal effects are repeatable despite small effect sizes. Author is primary presentiment researcher — potential confirmation bias in study selection.
Comprehensive review of 75 years of laboratory experiments testing retrocausal phenomena. Four classes examined: (1) Forced-choice (309 studies, 1935-1987): e=0.02, z=11.4, p < 6×10⁻²⁵; (2) Free-response (SRI/SAIC/PEAR remote viewing): e=0.21-0.23, z=4.85-5.8; (3) Psychophysiological presentiment (38 studies): e=0.26-0.28, z=6.07-8.7, Bayes Factor 2.9×10¹³ to 1; (4) Implicit decision (Bem's 9 experiments): 8 significant, z=6.66, Bayes Factor 13,669 to 1. Across 101 studies from 25 labs in 11 countries, 84% showed predicted direction (odds 1.3×10¹²). Higher quality studies yielded larger effects; effect sizes comparable to social psychology average (e=0.21).
Links
Related Papers
Meta Analyzes
- Feeling the Future: Experimental Evidence for Anomalous Retroactive Influences on Cognition and Affect — Bem, Daryl J (2011)
- Predictive Physiological Anticipation Preceding Seemingly Unpredictable Stimuli: A Meta-Analysis — Mossbridge, Julia (2012)
- "Future Telling": A Meta-Analysis of Forced-Choice Precognition Experiments, 1935-1987 — Honorton, Charles (1989)
Companion
Extends
- "Future Telling": A Meta-Analysis of Forced-Choice Precognition Experiments, 1935-1987 — Honorton, Charles (1989)
- Unconscious Perception of Future Emotions: An Experiment in Presentiment — Radin, Dean I (1997)
- Toward Understanding the Placebo Effect: Investigating a Possible Retrocausal Factor — Radin, Dean (2007)
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📋 Cite this paper
Radin, Dean I (2011). Predicting the Unpredictable: 75 Years of Experimental Evidence. AIP Conference Proceedings. https://doi.org/10.1063/1.3663725
@article{radin_2011_predicting,
title = {Predicting the Unpredictable: 75 Years of Experimental Evidence},
author = {Radin, Dean I},
year = {2011},
journal = {AIP Conference Proceedings},
doi = {10.1063/1.3663725},
}