what is the evidence for dream precognition

Dream Precognition: What the Evidence Shows

Coverage notice: The studies below reflect what the ESP-Nexus library currently holds on this question. The library’s share of the full published literature on dream precognition has not been measured, so this is a summary of what the library holds, not a settled account of the field. Treat the pattern described here accordingly.

What dream precognition is

Dream precognition is the claim that some dreams anticipate later events in ways not explainable by chance, inference, or memory. As Orme (2023) documents from historical case collections, the dream is consistently the most common reported vehicle for precognitive experience across multiple series of spontaneous cases — more common than waking visions or mediumistic states. The gap between how frequently people report the experience and how thin the controlled laboratory evidence remains is the central puzzle the research tries to close.

Laboratory approaches

The serious experimental work began at the Maimonides Dream Laboratory in Brooklyn in the 1960s–1970s. Post-Maimonides research has moved toward home-dream paradigms, free-response designs, and EEG presentiment protocols. Luke et al. (2012) investigated whether precognition performance fluctuates with circadian rhythms and melatonin cycles, training participants in dream-recall techniques and running sessions at different times of night; the results suggested some interaction between time of testing, dream recall, and psi scores, though few of the dream-recall trends reached significance, and length of dream recall appeared negatively related to precognition performance in that study.

Vernon, Roxburgh, and Schofield (2024) ran a home-dream paradigm in which participants rated images after waking, and the target image ratings were significantly higher than non-target ratings. The authors concluded the result was not attributable to methodological artifacts and described it as suggestive evidence for dream precognition, while calling for independent replication.

Robinson (2009) conducted a student-brief experimental study using a covert design and video targets, finding no evidence of participant preference bias or RNG selection bias in the data.

Quantitative evidence in the library

The structured evidence below spans a range of precognition paradigms — not all of them dream-specific, but relevant to the broader precognition question that dream studies sit within. The metric mix is important: hit rates, Cohen’s d, Cohen’s h, z-scores, and correlation coefficients appear across rows and cannot be averaged or pooled into a single bottom-line figure.

StudyN (trials/participants)Key statisticDirection
Bancel (2025)1,789 trialsz = 4.0, p = .000031, hit rate = 0.506Positive
Walleczek (2025) Study 137,836 trials, 26,483 participantshit rate = 0.4948, p = .979Null
Alibalaei (2025) Study 14,160 trials, 104 participantsd = −0.027, p = .783Null
Boyle (2025)100 trials, 1 participanth = 0.28, p = .005, hit rate = 0.32Positive
Sheldrake (2025)k = 3 studiesES = 0.18, p = .17Null
Mossbridge (2024) Exp 2307 trials, 307 participantsh = 0.22, p < .0002, hit rate = 0.35Positive
Radin (2023) Exp 185,792,278 trialsz = 2.267, p = .02Positive
Mossbridge (2023)4,000 trials, 40 participantsp < 1×10⁻⁶Positive
Muhmenthaler (2022) Exp 136 trials, 727 participantsd = 0.001, p = .512Null
Muhmenthaler (2022) Exp 21,414 participantsd = 0.034, p = .227Null
Muhmenthaler (2022) Exp 348 trials, 1,395 participantsd = −0.03, p = .860Null
Bancel (2022)1,160 trials, 30 participantsz = 3.7, p = .0001, hit rate = 0.50Positive
Schlitz (2021) Exp 1493 participantsd = 0.03, p = .22Null
Maier (2020) meta-analysis2,004 participants, k = 5 labsES = 0.008, p = .76Null
Schmidt (2019) Exp 163,066 trials, 3 participantsES = 0.025, z = 6.36, p < 2×10⁻⁹Positive
Jolij (2019)61 participantsp = 0.018 (post-hoc)Positive
Mueller (2019)48 trials, 15 participantsES = 0.56, z = 3.897, p = 2.3×10⁻⁵, hit rate = 0.79Positive
Katz (2018)177 trials, 62 participantshit rate = 0.48, ES = −0.02Null
Kugel (2018)3,713 trialsz = 3.27, p = .0006Positive
Alvarez (2018)25 participantsp = 0.035Positive
Vernon (2018)1,980 trials, 99 participantsd = 0.32, p = .021, hit rate = 5.77Positive
Bem (2016) meta-analysis12,406 participants, k = 90g = 0.09, z = 6.33, p = 1.2×10⁻¹⁰Positive
Watt (2015)219 trials, 60 participantsES = 0.12, p = .04, hit rate = 0.306Positive
The unsettled signals — what is not resolved

Two features of this evidence base must be stated plainly:

Directional disagreement. Fifteen result rows across the structured evidence report null or below-chance outcomes. Several of these are large, well-powered studies — Walleczek (2025) with over 37,000 trials and 26,000 participants returned a null, as did the five-lab meta-analysis by Maier (2020) and all three of the Muhmenthaler (2022) replications of Bem’s retroactive priming paradigm. Positive results appear alongside these nulls, not instead of them.

Heterogeneity. The positive results themselves vary widely in effect size and paradigm. The very large z-values in Schmidt (2019) and Radin (2023) come from a handful of highly selected participants or from a specific card-position slope analysis across tens of millions of trials — neither generalizes straightforwardly to the dream context. Mueller (2019)’s associative remote viewing hit rate is strikingly high but comes from 15 participants over 48 trials. These are not comparable estimates of a single underlying effect.

Dream-specific coverage. Most of the structured evidence rows are precognition studies generally, not dream precognition studies specifically. The dream-specific controlled literature is smaller. Vernon et al. (2024) represent a recent home-dream paradigm with a positive finding, but themselves call for replication. Luke et al. (2012) found mixed circadian effects within dream sessions. Independent replication of home-dream paradigm findings outside the original research groups has not been published at scale.

Skeptical critiques

What critics argue. A recurrent methodological objection — visible in the Muhmenthaler (2022) replication program — is that positive results in precognition research, particularly those from Bem’s retroactive priming paradigm, do not survive pre-registered, adequately powered direct replication. Muhmenthaler and colleagues conducted three pre-registered replications of Bem’s Experiments 3, 4, and 9; all three returned null results with effect sizes near zero (d = 0.001, 0.034, and −0.03 respectively). Critics have also raised concerns about selective reporting, researcher degrees of freedom, and inadequate blinding in dream-recall paradigms, where judges who know the experimental hypothesis may unconsciously favor target-congruent matches.

What the experimental data show. The Bem (2016) meta-analysis, pooling 90 studies with over 12,000 participants, reports a pooled Hedges’ g of 0.09 in the positive direction. Mossbridge (2023) and Mossbridge (2024) report positive EEG presentiment results. At the same time, Walleczek (2025) — a large pre-registered study — returned p = .979 on erotic-trial precognition, and Schlitz (2021)’s confirmatory retroactive priming study returned d = 0.03, p = .22. Within dream research specifically, Vernon et al. (2024) report a significant result but acknowledge the need for replication.

Analysis. Pre-registration and direct replication have produced null results where earlier exploratory work was positive — this is documented in the Muhmenthaler (2022) rows above. The Bem (2016) pooled positive effect and the Muhmenthaler (2022) null replications of specific Bem protocols sit in the same evidence base, reported by different labs using overlapping methods and getting opposite outcomes. What specific procedural or population variables account for that difference has not been established in print.

For the site’s full synthesis on dream precognition specifically, including the Maimonides laboratory history and methodological discussion, see the Dream Precognition page. Simon J. Sherwood’s review of post-Maimonides dream ESP studies, covering meta-analytic findings and methodological advances, is available at https://esp-nexus.org/scientists/simon-j-sherwood/an-updated-review-of-dream-esp-studies-conducted-since-the/.

The studies behind this answer
PaperReported findingEffect / significanceBasis
Bancel et al. (2025), Journal of Anomalous Experience and Cognition [source]Tryout data – All cohorts pooled.z = 4.0, p = 3.1 × 10−5, hit rate 0.5059N = 1789 trials
Walleczek et al. (2025), PLoS One [source]Study 1 – pure-session erotic trials, preregistered confirmatory one-sided.p = .979, hit rate 0.4948N = 37836 trials; 26483 participants
Walleczek et al. (2025), Preprint V1 (under peer review, dated 06/27/2025; journal not specified)Study 1 – confirmatory, erotic trials, pure session.p = .979, hit rate 0.4948N = 37836 trials
Alibalaei et al. (2025), Journal of the Society for Psychical Research [source]Study 1 – 40-day yoga course, pre vs post precognition.ES -0.027, p = .783, hit rate 0.251N = 4160 trials; 104 participants
Boyle (2025), Journal of Scientific Exploration [source]ChatGPT-4.1-mini 100-trial precognition task.ES 0.28, p = .005, hit rate 0.32N = 100 trials; 1 participants
Sheldrake et al. (2025), Journal of Anomalous Experience and Cognition [source]Overall precognition condition – standardized effect size.ES 0.18, p = .17k = 3
Mossbridge et al. (2024), Journal of Anomalous Experience and Cognition [source]Exp 2 free-response overall target precognition.ES 0.22, p < 2 × 10−4, hit rate 0.35N = 307 trials; 307 participants
Radin et al. (2023)Exp 1 – hidden-task slope.z = 2.267, p = .02N = 85792278 trials
Mossbridge (2023), Journal of Anomalous Experience and Cognition [source]EEG presentiment – pre-stimulus prediction of future button-press response.p < 1 × 10−6N = 4000 trials; 40 participants
Muhmenthaler et al. (2022), Psychology of Consciousness: Theory, Research, and Practice [source]Experiment 1 – Retroactive Affective Priming.ES 0.001, p = .512N = 36 trials; 727 participants
Bancel (2022), Unpublished proposal/report (IMI institute)Psi@Home preliminary variance test.z = 3.7, p = 1 × 10−4, hit rate 0.5N = 1160 trials; 30 participants
Schlitz et al. (2021), Journal of Scientific Exploration [source]Exp 1 confirmatory: retroactive priming, full sample.ES 0.03, p = .22N = 493 participants
Maier et al. (2020), PLOS ONE [source]Cross-lab random-effects meta-analysis.p = .765 studies; N = 2004 participants
Schmidt (2019), Journal of Parapsychology [source]Experiment 1 – combined total.ES 0.0253, z = 6.36, p < 2 × 10−9k = 3 events/tests; N = 63066 trials; 3 participants
Jolij et al. (2019), Journal of Scientific Exploration [source]Connectivity <|R|> – Amsterdam.p = .018N = 61 participants
Mueller et al. (2019), Zeitschrift fuer Anomalistik / Journal of Anomalistics [source]Overall ARV hit rate over 48 valid DAX predictions.ES 0.56, z = 3.897, p = 2.3 × 10−5, hit rate 0.7916N = 48 trials; 15 participants
Katz et al. (2018), Journal of Scientific Exploration [source]Project Firefly overall – 177 daily aggregate predictions.hit rate 0.48N = 177 trials; 62 participants
Kugel (2018), Zeitschrift fuer Anomalistik / Journal of Anomalistics [source]Program prognosis module – overall.z = 3.27, p = 6 × 10−4N = 3713 trials
Alvarez (2018), Journal of Scientific Exploration [source]Active block – Experimental trials: distance to to-be-lit vs not-to-be-lit LED.p = .035N = 25 participants
Vernon (2018), Journal of Parapsychology [source]Main study: Precall vs.ES 0.32, p = .021N = 1980 trials; 99 participants
Source: ESP-Nexus structured study database (44 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. Bancel, P. A., Boban, J., Bensahral, A., & Varvoglis, M. (2025). A Forced-Choice Precognition Experiment with Selected Cohorts. Journal of Anomalous Experience and Cognition, 5(1), 14–46. https://doi.org/10.31156/jaex.26394
  2. Walleczek, J., von Stillfried, N., Schmidt, S., Wittmann, M., Kirmse, K. A., Moll, J., & Kekecs, Z. (2025). Metascientific replication project with the advanced meta-experimental protocol of the transparent psi project procedures for testing the precognitive effect claimed by Bem. PLoS…, 20. https://doi.org/10.1371/journal.pone.0335330
  3. Alibalaei, H., Radin, D., Ilavarasu, J., & Nagendra, H. R. (2025). Experimental Investigation of Precognition in Yoga Practitioners. Journal of the Society for Psychical Research, 89(1), 1–23.
  4. Boyle, B. J. A. (2025). Testing Noetic Potential in Large Language Models: A 100-Trial Precognitive Forced-Choice Study with ChatGPT-4.1-Mini. Journal of Scientific Exploration, 39(3), 348–355. https://doi.org/10.31275/20253739
  5. Sheldrake, R., Stedall, T., & Tressoldi, P. E. (2025). Telecommunication Telepathy: A Meta-Analysis. Journal of Anomalous Experience and Cognition, 5(1), 47–69. https://doi.org/10.31156/jaex.25934
  6. Mossbridge, J., Cameron, K., & Boccuzzi, M. (2024). State, Trait, and Target Parameters Associated with Accuracy in Two Online Tests of Precognitive Remote Viewing. Journal of Anomalous Experience and Cognition, 4(1), 88–121. https://doi.org/10.31156/jaex.24743
  7. Mossbridge, J. (2023). Precognition at the Boundaries: An Empirical Review and Theoretical Discussion. Journal of Anomalous Experience and Cognition, 3(1), 5–41. https://doi.org/10.31156/jaex.24216
  8. Muhmenthaler, M. C., Dubravac, M., & Meier, B. (2022). The Future Failed: No Evidence for Precognition in a Large Scale Replication Attempt of Bem (2011). Psychology of Consciousness: Theory, Research, and Practice. https://doi.org/10.1037/cns0000342
  9. Bancel, P. (2022). Psi@Home: A New Experimental Paradigm for Parapsychology. Unpublished proposal/report (IMI institute).
  10. Schlitz, M., Bem, D., Marcusson-Clavertz, D., Cardena, E., Lyke, J., Grover, R., Blackmore, S., Tressoldi, P., Roney-Dougal, S., Bierman, D., Jolij, J., Lobach, E., Hartelius, G., Rabeyron, T., Bengston, W., Nelson, S., Moddel, G., & Delorme, A. (2021). Two Replication Studies of a Time-Reversed (Psi) Priming Task and the Role of Expectancy in Reaction Times. Journal of Scientific Exploration, 35(1), 65–90. https://doi.org/10.31275/20201903
  11. Maier, M. A., Buechner, V. L., Dechamps, M. C., Pflitsch, M., Kurzrock, W., Tressoldi, P., Rabeyron, T., Cardena, E., Marcusson-Clavertz, D., & Martsinkovskaja, T. (2020). A preregistered multi-lab replication of Maier et al. (2014, Exp. 4) testing retroactive avoidance. PLOS…, 15. https://doi.org/10.1371/journal.pone.0238373
  12. Schmidt, H. (2019). Precognition of a Quantum Process. Journal of Parapsychology, 82. https://doi.org/10.30891/jopar.2018S.01.07
  13. Jolij, J., & Bierman, D. (2019). Two Attempted Retro-Priming Replications Show Theory-Relevant Anomalous Connectivity. Journal of Scientific Exploration, 33(1), 43–60. https://doi.org/10.31275/2019.1262
  14. Mueller, M., Mueller, L., & Wittmann, M. (2019). Predicting the Stock Market: An Associative Remote Viewing Study. Zeitschrift fuer Anomalistik / Journal of Anomalistics, 19, 326–346. https://doi.org/10.23793/zfa.2019.326
  15. Katz, D. L., Grgic, I., & Fendley, T. W. (2018). An Ethnographical Assessment of Project Firefly: A Yearlong Endeavor to Create Wealth by Predicting FOREX Currency Moves with Associative Remote Viewing. Journal of Scientific Exploration, 32(1), 21–54.
  16. Kugel, W. (2018). Amplifying Precognition: Four Experiments with Roulette. Zeitschrift fuer Anomalistik / Journal of Anomalistics, 18, 214–231. https://doi.org/10.23793/zfa.2018.214
  17. Alvarez, F. (2018). Experimenter Psi Effect in Precognition Tests with Planarians. Journal of Scientific Exploration, 32(4), 679–692. https://doi.org/10.31275/2018.1222
  18. Vernon, D. J. (2018). A Test of Reward Contingent Precall. Journal of Parapsychology, 82(1), 8–23. https://doi.org/10.30891/jopar.2018.01.02
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