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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.

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},
}