Remote viewing data experiments and commentary

Remote Viewing: Data, Experiments, and Commentary

Coverage note: The studies below are those currently held in the ESP-Nexus library on this question. The library’s share of the full published literature on remote viewing has not been measured, so what follows is a summary of what the library holds — not a settled account of the field as a whole.

The evidence base here spans roughly five decades of remote viewing research, from early SRI trials in the 1970s through recent meta-analyses and field studies. The picture is directionally mixed: most rows lean positive, but null results and one below-chance result are present, and the metrics used across studies are not comparable to one another — so no single pooled figure can honestly represent them all.

What the studies show

The 23 result rows in the evidence table draw on 21 studies and report outcomes in five different, non-interchangeable metrics: standardized effect sizes (Cohen’s d, z/√N), raw hit rates, p-values only, z-scores, and correlation-based measures. These cannot be averaged into a single bottom-line figure; the table below shows them as reported.

StudyMetricKey figureNDirection
Targ (1975)Hit-rate / judges’ selection24/45 correct9 sessionsPositive
Dunne (1979)p onlyp < .0088 trialsPositive
Dunne (2003)Correlation (binary Method B)ES = 0.347, z = 6.355, p = 1×10⁻¹⁰336 trials, 30 participantsPositive
Dunne (2005) — remote perceptionp onlyp = 3×10⁻⁸653 trialsPositive
Dunne (2005) — REG/RMC/Pendulum metaz onlyz = 7.0, p = 6.5×10⁻¹¹~5.9 million trials, 13 experimentsPositive
Brown (2012)Clarity-score distribution86 sessions, 11 targetsPositive
Targ (2019)z/√NES = 1.0, hit rate = 0.778, p ~ 1 in 100,0009 trialsPositive
Schwartz (2019)p onlyp = 0.00468 participantsPositive
Roe (2020)z/√NES = 0.40, z = 4.22, p = .000012110 trials, 3 experimentsPositive
Schwartz (2020)p onlyp = 0.00009Positive
Wahbeh (2021)Overall null534 participantsNull
Mueller (2021)Hit rate0.75, p = 1.9×10⁻⁷100 trials, 5 participantsPositive
Wahbeh (2022)Hedges’ gES = −0.16, hit rate = 0.19481 participantsBelow chance (psi-missing)
Tressoldi (2023) — full 40z/√NES = 0.36, CI [0.23, 0.48], p = 8.7×10⁻¹⁰k = 40Positive
Escola-Gascon (2023) — believersCohen’s dES = 0.853347 participantsPositive
Escola-Gascon (2023) — total sampleCohen’s dES = 0.457, p < .00120,288 trials, 634 participantsPositive
Piao (2023)Hit rate0.06 above baseline (ES ratio = 1.47)100 trials, 1 participantPositive
Mossbridge (2024)p onlyp < .017792 trialsPositive
Katz (2026)Hit rate (sense-of-correctness prevalence)0.89122 participantsPositive
Schwartz (2025)Prevalence proportion0.83Positive
Wiseman (2010)Blind judging across 4 trialsk = 4Null

Settled signals

The Katz–Tressoldi meta-analysis (the Tressoldi 2023 row, covering 40 effect sizes from studies 1974–2022) is the most comprehensive quantitative synthesis in this evidence set. Its frequentist random-effects result — ES = 0.36 (z/√N), 95% CI [0.23, 0.48], p = 8.7×10⁻¹⁰ — represents an above-chance aggregate across that sample of studies [see the Remote Viewing Meta-Analysis page]. Dunne’s PEAR laboratory accumulated large-trial datasets over decades; the remote perception combined result (653 trials, p = 3×10⁻⁸) and the REG/RMC/Pendulum meta (z = 7.0, p = 6.5×10⁻¹¹) reflect that scale [see the Dunne remote viewing page]. The early SRI Pat Price series (Targ 1975; Targ 2019) contributed the foundational formal trials that launched government-sponsored programs.

Unsettled signals

Three results run counter to the positive trend and must be stated plainly:

  • Wahbeh (2021): The Quick Remote Viewing Task across 534 participants returned an overall null result.
  • Wahbeh (2022): A pre-post Extended Perception measure returned ES = −0.16 (Hedges’ g), a below-chance (psi-missing) direction, with a hit rate of 0.19.
  • Wiseman (2010): Blind judging across 4 trials returned null.

Beyond direction, the Tressoldi (2023) meta-analysis carries high between-study heterogeneity (I² ≥ 50%), which means the 40 effect sizes in that synthesis are not consistent with one another — something about how, where, or with whom studies were conducted accounts for substantial variation that the mean effect size alone does not capture.

The Escola-Gascon (2023) results also show a large gap between believers (ES = 0.853, Cohen’s d) and the total sample (ES = 0.457, Cohen’s d), suggesting that participant attitudes or self-selection may be a substantial moderator.

Commentary: government programs and statistical evaluation

Jessica Utts’s 1995–1996 statistical evaluation of the Stargate program concluded that the experimental record met conventional scientific significance thresholds — a judgment made on the basis of effect-size comparison, not merely p-values [see the Utts remote viewing page]. Her commentary explicitly addressed what constitutes an operationally useful hit rate — a question she noted had not been defined in advance by the program’s customers — and she co-authored a prior critical review of an NRC committee that had not been shown the bulk of the SRI data.

The Star Gate Archives (reviewed in) document the SRI-era mass-screening work, which concluded that approximately 1% of the general population showed a natural remote viewing ability — a finding echoing Rhine’s earlier discovery of gifted subjects, and the subsequent difficulty replicating those results with unselected participants.

Skeptical critiques

What critics argue. Methodological critiques of early remote viewing experiments focused on sensory cues — the argument, associated with David Marks (1981, cited in), that successful judging could be explained by inadvertent cues in transcripts rather than anomalous cognition. A related line held that judging procedures in studies such as those at PEAR were ambiguous or inadequately documented. Utts, Hansen, and Markwick identified specific randomization and judging-procedure problems in the PEAR remote viewing experiments [see the Utts page]. The American Institutes for Research 1995 review applied what Utts characterized as ambiguous criteria to evaluate the operational utility of anomalous cognition, and its treatment of the NRC report — which she noted had not been shown the relevant data — troubled her.

What the experimental data show. Utts noted that by the mid-1990s, Ray Hyman — a persistent critic — acknowledged that the experiments being assessed were “free of the methodological weaknesses that plagued the early research”. The Katz–Tressoldi meta-analysis applied inclusion criteria that excluded studies not meeting methodological thresholds, and the resulting ES = 0.36 persisted even in the full 40-effect-size sample. The null results from Wahbeh (2021, 2022) come from the post-Stargate era with large samples, providing a counterweight to the positive aggregate.

Analysis. The sensory-cue critique drove protocol tightening across the field; later studies incorporated blind judging and double-blind designs specifically to close those gaps. The Tressoldi (2023) meta’s high heterogeneity leaves open which study features predict success or failure — moderator analyses exist but have not resolved this. The Wahbeh null and psi-missing results, using a standardized task across hundreds of participants, represent the largest recent negative evidence in this set and have not been directly reconciled with the positive meta-analytic aggregate.

For broader context on the phenomenon, protocols, and debates, see the Remote Viewing phenomena page.

The studies behind this answer
PaperReported findingEffect / significanceBasis
Katz et al. (2026), Journal of Anomalous Experience and Cognition [source]Prevalence of sense of correctness.prevalence 0.89N = 122 participants
Schwartz (2025), EXPLORE [source]Self-reported overall accuracy of consensus precognitive RV concepts.prevalence 0.83
Mossbridge (2024), Journal of Anomalous Experience and Cognition (JAEX) [source]Batch 1 – target-matching hit/miss ratio across high- vs low-instigation moon phases.p < .017N = 792 trials
Tressoldi et al. (2023), Journal of Scientific Exploration [source]Frequentist random-effects, with outliers.ES 0.36, p = 8.7 × 10−10k = 40
Escola-Gascon et al. (2023), EXPLORE [source]Believers group with photo/image-based targets – hit-threshold breakdown.ES 0.853N = 347 participants
Escola-Gascon et al. (2023), Brain and Behavior [source]Group 2 RV hits vs chance.ES 0.853, p < .001N = 9184 trials; 287 participants
Piao et al. (2023), Journal of Scientific Exploration [source]Primary outcome: trials with >50% grade in both Type-I and Type-II matching.hit rate 0.06N = 100 trials; 1 participants
Wahbeh et al. (2022), International Journal of Transpersonal Studies [source]Extended perception pre-post change – parent study result.ES -0.16, hit rate 0.19N = 481 participants
Mueller et al. (2021), Journal of Scientific Exploration [source]Overall hit rate, all 100 trials.p = 1.9 × 10−7, hit rate 0.75N = 100 trials; 5 participants
Wahbeh et al. (2021), Research Square (preprint) [source]Quick Remote Viewing task: overall performance.N = 534 participants
Schwartz et al. (2020), Journal of Scientific Exploration [source]Location of wreck site by chance – realistic.p = 9 × 10−5
Roe et al. (2020), Journal of Parapsychology [source]Combined ganzfeld condition – sum of ranks.ES 0.4, z = 4.22, p = 1.2 × 10−5, hit rate 0.39k = 3; N = 110 trials; 110 participants
Schwartz et al. (2019), Zeitschrift fur Anomalistik / Journal of Anomalistics [source]Location prediction – a priori chance probability of the discovered Consensus Area.p = .0046N = 8 participants
Targ (2019), Journal of Scientific Exploration [source]Pat Price formal series.ES 1.0, hit rate 0.778N = 9 trials
Mueller et al. (2017), Zeitschrift fuer Anomalistik / Journal of Anomalistics [source]Direct hits: target given highest correspondence rating.hit rate 0.388N = 36 sessions; 36 participants
Brown (2012), Journal of Scientific Exploration [source]All sessions – clarity-score distribution across 11 targets.k = 11 events/tests; N = 86 sessions
Wiseman et al. (2010), European Journal of Parapsychology [source]Blind judging trials: majority-vote remote-viewing hits across 4 trials.4 studies
Dunne et al. (2005), Cellular and Molecular Biology [source]Meta-analysis of 13 REG/RMC/Pendulum experiments combined.z = 7.0, p = 6.5 × 10−1113 studies; N = 5900000 trials
Dunne et al. (2003), Journal of Scientific Exploration [source]Formal trials.z = 6.355, p = 1 × 10−10N = 336 trials; 30 participants
Dunne et al. (1979), Journal of Parapsychology [source]Eight-trial sum of ranks.p < .008k = 8; N = 8 trials; 2 participants
Source: ESP-Nexus structured study database (21 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. Katz, D. L., Akin, J., & Prather, J. (2026). Sensing Accuracy: A Survey of Experienced Remote Viewers’ Awareness of Correctness and Being on Target. Journal of Anomalous Experience and Cognition, 6(1), 67–91. https://doi.org/10.31156/jaex.27505
  2. Schwartz, S. A. (2025). Science, precognitive remote viewing, and our future. EXPLORE. https://doi.org/10.1016/j.explore.2025.103142
  3. Mossbridge, J. (2024). Moon Phases and Online Tests of Precognition: Letter to the Editor. Journal of Anomalous Experience and Cognition (JAEX), 4(1), 142–143. https://doi.org/10.31156/jaex.26006
  4. Tressoldi, P., & Katz, D. L. (2023). Remote Viewing: A 1974-2022 Systematic Review and Meta-Analysis. Journal of Scientific Exploration, 37(3), 467–489. https://doi.org/10.31275/20232931
  5. Escola-Gascon, A., Vilarasau Serra, M., Houran, J., Dagnall, N., Drinkwater, K., & Denovan, A. (2023). Resources on Escola-Gascon et al.’s (2023) remote viewing research per the original CIA experiments. EXPLORE. https://doi.org/10.1016/j.explore.2023.07.008
  6. Escola-Gascon, A., Houran, J., Dagnall, N., Drinkwater, K., & Denovan, A. (2023). Follow-up on the U.S. Central Intelligence Agency’s (CIA) remote viewing experiments. Brain and Behavior, 13. https://doi.org/10.1002/brb3.3026
  7. Piao, D., & Katz, L. (2023). On the Band-Limited Information Throughput of Free-Selective and Free-Responsive Spatially Non-Local Perception. Journal of Scientific Exploration, 37(3), 490–508. https://doi.org/10.31275/20232951
  8. Wahbeh, H., Vieten, C., Yount, G., Cartry-Jacobsen, A., Radin, D., & Delorme, A. (2022). Transformative, Noetic, and Transpersonal Experiences During Personal Development Workshops. International Journal of Transpersonal Studies. https://doi.org/10.24972/ijts.2021.40.2.75
  9. Mueller, M., & Wittmann, M. (2021). Anomalous Cognition in the Context of Time: Does the Viewer Describe a Deterministic or a Probabilistic Future? Journal of Scientific Exploration, 35(3), 542–569. https://doi.org/10.31275/20211923
  10. Wahbeh, H., Vieten, C., Yount, G., Cartry-Jacobsen, A., Radin, D., & Delorme, A. (2021). Reported paranormal experiences associated with improved outcomes of personal development workshops. Research Square (preprint). https://doi.org/10.21203/rs.3.rs-311640/v1
  11. Schwartz, S. A., & De Mattei, R. J. (2020). The Discovery of an American Brig: Fieldwork Involving Applied Remote Viewing Including a Comparison with Electronic Remote Sensing. Journal of Scientific Exploration, 34(1), 62–92. https://doi.org/10.31275/2020/1481
  12. Roe, C. A., Cooper, C. E., Hickinbotham, L., Hodrien, A., Kirkwood, L., & Martin, H. (2020). Performance at a Precognitive Remote Viewing Task, with and without Ganzfeld Stimulation: Three Experiments. Journal of Parapsychology, 84(1), 38–65. https://doi.org/10.30891/jopar.2020.01.06
  13. Schwartz, S. A., De Mattei, R. J., & Smith, R. C. (2019). The Caravel Project: The Location, Description, and Reconstruction of Marine Sites Through Remote Viewing, Including Comparison With Aerial Photography, Geological Coring, and Electronic Remote Sensing. Zeitschrift fur Anomalistik / Journal of Anomalistics, 19, 113–139. https://doi.org/10.23793/zfa.2019.113
  14. Targ, R. (2019). What Do We Know about Psi? The First Decade of Remote-Viewing Research and Operations at Stanford Research Institute. Journal of Scientific Exploration, 33(4), 569–592. https://doi.org/10.31275/2019/1669
  15. Mueller, M., & Wittmann, M. (2017). Remote Viewing: A Proof-of-Principle Study. Zeitschrift fuer Anomalistik / Journal of Anomalistics, 17, 83–104.
  16. Brown, C. (2012). Remote Viewing the Future with a Tasking Temporal Outbounder. Journal of Scientific Exploration, 26(1), 81–110.
  17. Wiseman, R., & Watt, C. (2010). ‘Twitter’ as a New Research Tool: Proof of Principle with a Mass Participation Test of Remote Viewing. European Journal of Parapsychology, 25, 2–200.
  18. Dunne, B., & Jahn, R. (2005). Consciousness, Information, and Living Systems. Cellular and Molecular Biology, 703–714. https://doi.org/10.1170/T679
  19. Dunne, B. J., & Jahn, R. G. (2003). Information and Uncertainty in Remote Perception Research. Journal of Scientific Exploration, 17(2), 207–241.
  20. Dunne, B. J., & Bisaha, J. P. (1979). Precognitive Remote Viewing in the Chicago Area: A Replication of the Stanford Experiment. Journal of Parapsychology, 43, 17–30.
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