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Feeling the Future: A Meta-Analysis of 90 Experiments on the Anomalous Anticipation of Random Future Events

๐Ÿ“„ Original study โ†—
Bem, Daryl J, Tressoldi, Patrizio E, Rabeyron, Thomas, Duggan, Michael โ€ข 2015 Modern Era โ€ข precognition

๐Ÿ“Œ Appears in:

Plain English Summary

After Bem's 2011 study ignited a firestorm, this massive follow-up asked: does the effect hold when other labs try it? Across 90 experiments from 33 labs in 14 countries with over 12,000 participants, the answer was a surprisingly firm yes. The Bayes Factor (a measure of how strongly data favor one hypothesis over another) exceeded five billion โ€” wildly past what's considered decisive evidence. Even independent replications held up. Here's a fascinating wrinkle: experiments using fast, intuitive thinking worked significantly better than slow, deliberate ones โ€” suggesting precognition might ride on gut instinct rather than careful reasoning. Seven of eight bias tests came back clean, arguing this isn't just cherry-picked results.

Actual Paper Abstract

In 2011, one of the authors (DJB) published a report of nine experiments in the Journal of Personality and Social Psychology purporting to demonstrate that an individual's cognitive and affective responses can be influenced by randomly selected stimulus events that do not occur until after his or her responses have already been made and recorded, a generalized variant of the phenomenon traditionally denoted by the term precognition. To encourage replications, all materials needed to conduct them were made available on request. We here report a meta-analysis of 90 experiments from 33 laboratories in 14 countries which yielded an overall effect greater than 6 sigma, z = 6.40, p = 1.2 ร— 10 with an effect size (Hedges' g) of 0.09. A Bayesian analysis yielded a Bayes Factor of 5.1 ร— 10, greatly exceeding the criterion value of 100 for "decisive evidence" in support of the experimental hypothesis. When DJB's original experiments are excluded, the combined effect size for replications by independent investigators is 0.06, z = 4.16, p = 1.1 ร— 10, and the BF value is 3,853, again exceeding the criterion for "decisive evidence." The number of potentially unretrieved experiments required to reduce the overall effect size of the complete database to a trivial value of 0.01 is 544, and seven of eight additional statistical tests support the conclusion that the database is not significantly compromised by either selection bias or by intense "p-hacking"โ€”the selective suppression of findings or analyses that failed to yield statistical significance. P-curve analysis, a recently introduced statistical technique, estimates the true effect size of the experiments to be 0.20 for the complete database and 0.24 for the independent replications, virtually identical to the effect size of DJB's original experiments (0.22) and the closely related "presentiment" experiments (0.21). We discuss the controversial status of precognition and other anomalous effects collectively known as psi.

Research Notes

The definitive meta-analytic follow-up to the Bem (2011) controversy, providing the strongest cumulative statistical case for the precognition effect. Central to the Feeling the Future debate (Controversy #2). The fast/slow thinking distinction offers a theoretically motivated moderator that may explain inconsistent replication results.

Meta-analysis of 90 experiments from 33 laboratories in 14 countries (12,406 participants) testing anomalous anticipation of random future events, following up on Bem's (2011) original nine experiments. The overall effect was Hedges' g = 0.09, z = 6.33, p = 1.2 x 10^-10, with a Bayes Factor of 5.1 x 10^9 greatly exceeding the criterion for decisive evidence. Independent replications yielded g = 0.06, z = 4.16, BF = 3,853. P-curve analysis estimated the true effect size at 0.20, closely matching Bem's original d = 0.22. Fast-thinking protocols (g = 0.11) significantly outperformed slow-thinking protocols (g = 0.03, ns). Seven of eight statistical tests indicated the database is not compromised by selection bias or p-hacking.

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๐Ÿ“‹ Cite this paper
APA
Bem, Daryl J, Tressoldi, Patrizio E, Rabeyron, Thomas, Duggan, Michael (2015). Feeling the Future: A Meta-Analysis of 90 Experiments on the Anomalous Anticipation of Random Future Events. F1000Research. https://doi.org/10.12688/f1000research.7177.2
BibTeX
@article{bem_2015_feeling,
  title = {Feeling the Future: A Meta-Analysis of 90 Experiments on the Anomalous Anticipation of Random Future Events},
  author = {Bem, Daryl J and Tressoldi, Patrizio E and Rabeyron, Thomas and Duggan, Michael},
  year = {2015},
  journal = {F1000Research},
  doi = {10.12688/f1000research.7177.2},
}