Tell me about Radin's lab at UNLV.

Dean I. Radin, PhD is profiled on ESP-Nexus at Dean I. Radin, PhD. The question about his lab at UNLV touches a specific period in his career — the mid-1990s — that the ESP-Nexus page addresses directly.

Before summarizing what the sources show, a necessary qualification on scope: the studies currently in the ESP-Nexus library represent a sample of the published literature on Radin’s work, and the library’s share of that total literature has not been measured. Treat what follows as a summary of what the library holds, not a settled account of the field. The chart below plots a subset of standardized effect sizes against publication year for studies on a single comparable metric.

Experiments

The ESP-Nexus page records a 1996 multivariate study conducted at UNLV as the flagship work from that period. It used four psi tests — a circle of lights, duck herding, a robot arm, and video clips — administered to 96 participants tracked over a full year. A separate, earlier effort described on the same page tracked 49 environmental, physiological, and cosmic variables simultaneously with mind-matter interaction (MMI) performance over 65 days, identifying 44 statistically significant correlations versus 26 expected by chance.

The sources retrieved for this question do not include papers from the UNLV period itself — the numbered sources cover Radin’s more recent IONS-based work (Global Consciousness Project analyses, a water pH replication study, and related lines). The UNLV lab details come from the ESP-Nexus scientist page rather than from a primary paper retrieved here.

Methodology

The UNLV multivariate study’s design is notable for its ambition: rather than testing a single psi modality, it ran four distinct protocols on the same participant pool across a year, enabling within-subject comparisons and longitudinal tracking. The analysis then applied a neural network trained on 8 predictors derived from 24 psychological, environmental, and demographic variables to predict individual psi performance in held-out participants — an approach oriented toward identifying moderating variables rather than simply estimating a mean effect. The 65-day MMI study similarly used multivariate environmental tracking and a neural network, reporting a held-out predictive correlation of r = 0.405.

This represents a methodological stance Radin has maintained across his career: treating psi performance as a variable phenomenon whose variance is worth modeling, rather than assuming a fixed underlying effect size.

The retrieved numbered sources for this question cover different protocols — GCP random-number-generator analyses and a water-chemistry replication — so detailed protocol information for the UNLV experiments is not in the retrieved primary literature.

Data

For the UNLV multivariate study specifically, the ESP-Nexus page reports that the four individual psi tests showed null results, while the neural network trained on the combined predictor set predicted held-out participant performance. No individual-test effect sizes or p-values for the UNLV study are present in the retrieved numbered sources, so those figures cannot be stated here.

The broader evidence table rendered below this answer covers 66 studies and 81 result rows from across Radin’s career. The metrics are heterogeneous — z-scores, hit rates, Cohen’s d, correlations, and p-only results — and must not be averaged or pooled into a single summary figure. The evidence set includes:

  • Several positive results at p <.001 or stronger, across GCP analyses, double-slit optical MMI, and other lines
  • 9 null or below-chance results in the full set, including at least one study where individual experimental sessions ran below chance
  • A Wahbeh et al. (2021) result showing null overall performance on a quick remote viewing task
  • An Alibalaei et al. (2025) study with a null precognition result (Cohen’s d = −0.027, p =.783)

Reported directions disagree across studies — this is an explicitly unsettled signal in the evidence base, not a minor qualification.

StudyNPrimary outcomeDirection
Alibalaei et al. (2025)4,160 trials, 104 participantsd = −0.027, p =.783Null
Wahbeh et al. (2021)534 participantsOverall QRV performanceNull
Radin (2025) GCP NYE401 sessions, 47 participantsPCA composite z = −4.9, p = 4.8 × 10⁻⁷Positive
Radin (2026) corrigendum100 sessionsBootstrap z = −2.97, p =.0013Positive
Skeptical critiques

The numbered sources retrieved for this question — covering recent GCP and water-chemistry work — do not include published criticism directed specifically at the UNLV lab or its multivariate methodology. The ESP-Nexus scientist page for Radin carries a skeptical critiques section; readers looking for the critical exchange around his work are directed there: Dean I. Radin, PhD.

The studies behind this answer
PaperReported findingEffect / significanceBasis
Radin et al. (2026), Draft (preprint, May 9, 2026; journal not specified)Human cohort – Observed sensor – Intention vs.ES -0.03, p = .0016N = 10000 trials; 295 participants
Radin (2026), Journal of Scientific Exploration [source]Corrected midnight PCA composite score.z = -2.97, p = .0013N = 100 sessions
Radin (2025), Physics Essays [source]EH3: Trend analysis – slope difference RL vs RR during observation.p = 5.9 × 10−14N = 401 sessions; 47 participants
Radin (2025), Journal of Biophysical Chemistry [source]Combined outcome across both experiments – HEADLINE.p = 4.6 × 10−4k = 2; N = 50 sessions
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
Radin (2025), Journal of Scientific Exploration [source]Principal Components Analysis composite of CD/PE/HFD/BDS/AC at midnight segment.z = -4.9, p = 4.8 × 10−7
Yu et al. (2024), EXPLORE [source]Time x water interaction – headline effect.p < .005k = 3
Radin (2024) [source]EH3/EH4 Trend analysis: RLO vs RRO slope difference – HEADLINE.p = 5.9 × 10−14N = 470 sessions; 47 participants
Wahbeh et al. (2023), EXPLORE [source]Telepathic/Pre-Selected – Completers.p < .001, hit rate 0.481N = 210 trials; 105 participants
Wahbeh et al. (2023), Journal of Anomalous Experience and Cognition (JAEX) [source]Confidence in Survival — all participants.p < 1 × 10−4N = 442 participants
Kauffman et al. (2023), BioSystems [source]Double-slit optical mind-matter interaction: cumulative across 30 experiments.p < 4 × 10−1130 studies
Radin (2023), Physics Essays [source]Deconvolution, 8-min segments – joint z vs scrambled controls.z = 5.08, p = 1.9 × 10−7k = 208 events/tests
Radin (2023), World Futures [source]Combined permuted-slope Stouffer Z across all 10 languages.z = -3.087, p = .001k = 10 events/tests
Radin et al. (2023) [source]Experiment 1 – experimental sessions.z = -3.0, p = .003N = 10 sessions; 1 participants
Radin et al. (2023)Exp 1 – hidden-task slope.z = 2.267, p = .02N = 85792278 trials
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
Radin (2022), DRAFT (unpublished manuscript)Retrospective: all 10 languages combined, Stouffer Z for sad-day slopes.z = -3.825, p = 6.5 × 10−5k = 10
King (2022), Journal of the Society for Psychical Research [source]Pearson chi-square across four age groups.p < .001N = 3277 trials; 3277 participants
Radin et al. (2022), Journal of Anomalous Experience and Cognition [source]2013 human vs robot Stouffer Z, peak at 1.25 s lag.z = 4.16, p = 2 × 10−5N = 1256 sessions
Radin et al. (2021), Explore [source]Indirect test – Practitioner – Distilled water.z = -3.57, p = 4 × 10−4N = 107 participants
Source: ESP-Nexus structured study database (66 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. Radin, D., & Cline, R. (2026). Does wavefunction collapse require a conscious observer? A preregistered retrocausal interferometer test with human and AI agents. Draft (preprint, May 9, 2026; journal not specified).
  2. Radin, D. (2026). Corrigendum for “Effects of Global Consciousness on New Years Eve: A Study in Experimental Metaphysics”. Journal of Scientific Exploration, 40(1). https://doi.org/10.31275/20263947
  3. Radin, D. (2025). Observer influence on quantum interference: Testing the von Neumann–Wigner consciousness-collapse theory. Physics Essays, 38, 64–80. https://doi.org/10.4006/0836-1398-38.1.64
  4. Radin, D. (2025). Independent Replication of an “Excess Correlation” Effect in pH between Isolated Beakers of Water. Journal of Biophysical Chemistry, 16(2), 15–29. https://doi.org/10.4236/jbpc.2025.162002
  5. 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.
  6. Radin, D. (2025). New Year’s Eve as a Case Study in Experimental Metaphysics: Exploring Global Consciousness in Random Physical Systems. Journal of Scientific Exploration, 39(4), 393–406. https://doi.org/10.31275/20253635
  7. Yu, C. R., Radin, D. I., Chu, C., & Shiah, Y. (2024). Effects of intentionally-treated water on cell migration of human glioblastoma cells. EXPLORE, 21. https://doi.org/10.1016/j.explore.2024.103100
  8. Wahbeh, H., Cannard, C., Radin, D., & Delorme, A. (2023). Who’s calling? Evaluating the accuracy of guessing who is on the phone. EXPLORE. https://doi.org/10.1016/j.explore.2023.08.008
  9. Wahbeh, H., Delorme, A., & Radin, D. (2023). Rating the Persuasiveness of Empirical Evidence for the Survival of Consciousness After Bodily Death: A Cross-Sectional Study Among Academics. Journal of Anomalous Experience and Cognition (JAEX), 3(1), 78–109. https://doi.org/10.31156/jaex.24125
  10. Kauffman, S. A., & Radin, D. (2023). Quantum aspects of the brain-mind relationship: A hypothesis with supporting evidence. BioSystems. https://doi.org/10.1016/j.biosystems.2022.104820
  11. Radin, D. (2023). Anomalous entropic effects in physical systems associated with collective consciousness. Physics Essays, 36(1), 77–86. https://doi.org/10.4006/0836-1398-36.1.77
  12. Radin, D. (2023). Sentiment and Presentiment in Twitter: Do Trends in Collective Mood “Feel the Future”? World Futures, 79(5), 525–535. https://doi.org/10.1080/02604027.2023.2216629
  13. 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
  14. Radin, D. (2022). Sentiment and presentiment in Twitter: Do trends in collective mood ‘feel the future’? DRAFT (unpublished manuscript).
  15. King, R. A. (2022). A Closer Look at Visual Life Reviews and Age in Adulthood During Near-Death Experiences. Journal of the Society for Psychical Research, 86(4), 209–225.
  16. Radin, D., & Delorme, A. (2022). Psychophysical Effects on an Interference Pattern in a Double-Slit Optical System: An Exploratory Analysis of Variance. Journal of Anomalous Experience and Cognition, 2(2), 362–388. https://doi.org/10.31156/jaex.24054
  17. Radin, D., Yount, G., Delorme, A., Carpenter, L., & Wahbeh, H. (2021). Spectroscopic analysis of water treated by and in proximity to Energy Medicine practitioners: An exploratory study. Explore, 27–31. https://doi.org/10.1016/j.explore.2020.10.005
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