I want to know very briefly, what the overall status is of Bem's feeling the future studies and replications.

Feeling the Future: Overall Status

One important qualification upfront: the ESP-Nexus library’s share of the published literature on precognition has not been measured, so what follows summarizes what the library holds rather than offering a settled account of the full field. The chart below plots effect size (Cohen’s d) against publication year for the studies in the evidence table that report on that metric.

Experiments

Bem’s original “Feeling the Future” paper reported nine experiments testing whether future randomly selected stimuli could retroactively influence present responses — covering precognitive recall, priming, habituation, and arousal tasks. Eight of the nine yielded results in the predicted direction. A subsequent meta-analysis by Bem, Tressoldi, Rabeyron, and Duggan synthesized 90 experiments from 33 laboratories across 14 countries, making it the primary large-scale assessment of whether the original findings replicate. A later multi-site replication study, involving a large consortium of researchers, tested Bem’s time-reversed priming paradigm specifically.

Methodology

The original experiments used within-subjects designs where participants responded to stimuli before the causal stimulus was presented, so no non-psi mechanism could allow anticipation. The meta-analysis covered both exact and modified replications, and materials were made available on request to encourage independent replication. Bem and colleagues also examined publication bias, personality correlates (particularly extraversion and stimulus-seeking), and applied both frequentist and Bayesian analyses. Critics Wagenmakers et al. (2011) and Schimmack (2012) raised concerns about exploratory analyses and low statistical power, and the meta-analysis addresses those directly.

Data

The evidence table contains mixed results across the precognition literature more broadly, including 13 null or below-chance results among the 45 result rows. For the Bem-specific findings specifically:

StudyMetricEffect sizezpk / N
Bem (2011) viaCohen’s d0.229 experiments
Bem et al. (2016)Hedges’ g0.096.401.2 × 10⁻¹⁰90 experiments
Bem et al. (2016), excl. Bem’s ownCohen’s d0.0669 replications

These are different metrics (d vs. g) and should not be averaged. The pattern shows a drop from the original experiments’ mean effect to a smaller but still statistically positive effect in independent replications. The multi-site replication of the time-reversed priming task did not reject the null hypothesis — results were not significant. The broader evidence table reflects this heterogeneity, with positive, null, and below-chance results present across studies.

Skeptical critiques

What critics argue. Wagenmakers et al. (2011) argued that Bem’s analyses were partly exploratory rather than confirmatory, and that this inflated the apparent significance of results. Schimmack (2012) argued the experiments were underpowered in ways that make false positives likely. Francis (2012) raised the possibility that the pattern of results in Bem (2011) was consistent with p-hacking or selective reporting of outcomes. Bierman (in a comment on the meta-analysis) argued that the difference between the original experiments’ effect sizes and those in the meta-analysis constituted a “failed replication” signal, posting this critique to a researcher forum before formal publication.

What the experimental data show. The 90-study meta-analysis reports a Bayes Factor of 5.1 × 10⁹ across all experiments, and when Bem’s original nine studies are excluded, the independent replications still yield a positive pooled result with a Bayes Factor of 3,853. The p-curve analysis in the meta-analysis estimated the true effect size at approximately 0.20 for the full database and 0.24 for the independent replications. Against this, the multi-site replication of the time-reversed priming paradigm did not find a significant effect, and that study involved researchers holding opposing views on the phenomenon.

Analysis. The debate centers on two distinct questions that the sources do not fully resolve: whether the original experiments’ effect sizes were inflated by analytic flexibility, and whether the effect survives in pre-registered, adequately powered independent replications. The meta-analysis and the null multi-site replication point in different directions on the second question. The personality-correlate findings (extraversion, stimulus-seeking) from the original paper have not been consistently replicated across all follow-up work, as notes the null result extended across data transformations and subgroups.

For Bem’s full research profile, see Daryl J. Bem, PhD.

The studies behind this answer
PaperReported findingEffect / significanceBasis
Schmidt (1974)Four-choice RNG precognition Test 1.z = 6.4, p < 2 × 10−9N = 63000 trials; 8 participants
Orme (1974) [source]Log incidence-per-day vs log temporal distance.ES -0.964, p < 1 × 10−4N = 148 participants
Targ (1975)Precognition learning series — single subject, ~0.2 s target-selection delay.ES 0.68, p < .01N = 672 trials; 1 participants
Radin (1988), Journal of Parapsychology [source]H1 – overall direct hits, experimental condition.z = 1.786, p = .037, hit rate 0.16938333333333333N = 60000 trials; 1 participants
Honorton et al. (1989), Journal of ParapsychologyOverall cumulation – full 309-study database.z = 11.41, p = 6.3 × 10−25309 studies; N = 2000000 trials
Radin et al. (1994), Subtle Energies & Energy Medicine Journal [source]Total lunar-phase correlation with average state-lottery payout % – anomalous/precognition-framed headline.ES -0.743, p = .0076N = 29 trials
Steinkamp et al. (1998), The Journal of Parapsychology [source]Comparable studies sample – precognition mean ES.ES 0.0122 studies
Steinkamp (2000), The Journal of Parapsychology [source]Overall direct hits.ES -0.06, z = -0.76, p = .22, hit rate 0.2215N = 149 trials; 149 participants
Steinkamp (2001), The Journal of Parapsychology [source]Series 2 – precognition condition, sum of ranks.ES 0.21, z = 1.85, p = .06N = 80 trials; 80 participants
McCraty et al. (2004), The Journal of Alternative and Complementary Medicine [source]Event-related potentials at FP1 and FP2, Female subgroup, Condition 1.N = 675 trials; 15 participants
Steinkamp (2005), Journal of Parapsychology [source]Primary preplanned true-precognition test.z = 0.18, p = .42N = 80 trials; 80 participants
Carpenter (2010), Journal of Scientific Exploration [source]Study One: Mood-scale-guided majority-vote predictions.p = .004, hit rate 0.917N = 495 trials; 25 participants
Roney-Dougal et al. (2011), Journal of Scientific Exploration [source]Study 2 overall psi score.ES 0.08, p = .49N = 80 sessions; 10 participants
Bierman (2011), Journal of Scientific Exploration [source]Pooled after removal of 16 high-outlier subjects.p = .0263 studies; N = 153 participants
Radin (2011), AIP Conference Proceedings [source]Two most-recent unconscious classes combined — sign test.101 studies
Bem (2011), Journal of Personality and Social Psychology [source]Mean psi effect size across all 9 experiments.ES 0.22k = 9
Moddel et al. (2011), AIP Conference Proceedings [source]Combined Runs #1–#3.ES 0.05, z = -6.5, p < 1 × 10−7k = 3; N = 1730 trials
Smith et al. (2014), Journal of Scientific Exploration [source]Main ARV experiment – 7 DJIA up/down predictions.p < .01, hit rate 1.0N = 7 trials; 10 participants
Bierman et al. (2014), Journal of Scientific Exploration [source]H1: retrocausal training effect, whole sample.ES 0.22, p = .012N = 67 participants
Watt et al. (2015), Journal of Parapsychology [source]Combined analysis: 50 completers + 10 incomplete-data participants.ES 0.12, p = .04, hit rate 0.306N = 219 trials; 60 participants
Source: ESP-Nexus structured study database (42 studies; the table shows the 20 highest-ranked). ESP-Nexus reports what each study found and takes no position on whether the effects are genuine.
References
  1. Schmidt, H. (1974). A New Role of the Experimenter in Science Suggested by Parapsychology Research. Parapsychology and the Sciences (conference/book proceedings; pp. 266-279), 266–279.
  2. Orme, J. E. (1974). Precognition and Time. Parapsychology and the Sciences (conference proceedings volume; running head ‘Parapsychology and the Sciences’, pp. 187-197), 187–197.
  3. Targ, R. (1975). Precognition in Everyday Life — A Physical Model. Parapsychology and the Sciences (conference proceedings, with recorded discussion), 265, 251–265.
  4. Radin, D. I. (1988). Effects of A Priori Probability on Psi Perception: Does Precognition Predict Actual or Probable Futures? Journal of Parapsychology, 52, 187–212.
  5. Honorton, C., & Ferrari, D. C. (1989). “Future Telling”: A Meta-Analysis of Forced-Choice Precognition Experiments, 1935-1987. Journal of Parapsychology, 53, 281–308.
  6. Radin, D. I., & Rebman, J. M. (1994). Lunar Correlates of Normal, Abnormal and Anomalous Human Behavior. Subtle Energies & Energy Medicine Journal, 209–238.
  7. Steinkamp, F., Milton, J., & Morris, R. L. (1998). A Meta-Analysis of Forced-Choice Experiments Comparing Clairvoyance and Precognition. The Journal of Parapsychology, 62, 193–218.
  8. Steinkamp, F. (2000). Does Precognition Foresee the Future? A Postal Experiment to Assess the Possibility of True Precognition. The Journal of Parapsychology, 64, 3–18.
  9. Steinkamp, F. (2001). Does precognition foresee the future? Series 2, A laboratory replication and Series 3, A world wide web replication. The Journal of Parapsychology, 65, 17–40.
  10. McCraty, R., Atkinson, M., & Bradley, R. T. (2004). Electrophysiological Evidence of Intuition: Part 2. A System-Wide Process? The Journal of Alternative and Complementary Medicine, 325–336.
  11. Steinkamp, F. (2005). Does precognition foresee the future? Series 4: A postal replication. Journal of Parapsychology, 341–351.
  12. Carpenter, J. C. (2010). Laboratory Psi Effects May Be Put to Practical Use: Two Pilot Studies. Journal of Scientific Exploration, 24(4), 667–690.
  13. Roney-Dougal, S. M., & Solfvin, J. (2011). Exploring the Relationship between Tibetan Meditation Attainment and Precognition. Journal of Scientific Exploration, 25(1), 29–46.
  14. Bierman, D. J. (2011). Anomalous Switching of the Bi-Stable Percept of a Necker Cube: A Preliminary Study. Journal of Scientific Exploration, 25(4), 721–733.
  15. Radin, D. I. (2011). Predicting the Unpredictable: 75 Years of Experimental Evidence. AIP Conference Proceedings, 1408, 204–217. https://doi.org/10.1063/1.3663725
  16. Bem, D. J. (2011). Feeling the Future: Experimental Evidence for Anomalous Retroactive Influences on Cognition and Affect. Journal of Personality and Social Psychology, 100(3), 407–425. https://doi.org/10.1037/a0021524
  17. Moddel, G., Zhu, Z., & Curry, A. M. (2011). Laboratory Demonstration of Retroactive Influence in a Digital System. AIP Conference Proceedings, 218–231. https://doi.org/10.1063/1.3663726
  18. Smith, C. C., Laham, D., & Moddel, G. (2014). Stock Market Prediction Using Associative Remote Viewing by Inexperienced Remote Viewers. Journal of Scientific Exploration, 28(1), 7–16.
  19. Bierman, D. J., & Bijl, A. (2014). Anomalous ‘Retrocausal’ Effects on Performance in a Go/NoGo Task. Journal of Scientific Exploration, 28(3), 437–452.
  20. Watt, C., & Valasek, M. (2015). Postscript to Watt (2014) on Precognitive Dreaming: Investigating Anomalous Cognition and Psychological Factors. Journal of Parapsychology, 79, 105–107.
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