Discovery Lab Answers

Michael A. Persinger, PhD — Experiments and Data

Michael A. Persinger was a neuroscientist and parapsychologist based at Laurentian University in Ontario, whose research program spanned several decades and linked anomalous cognition to geomagnetic, electromagnetic, and neurobiological variables. The sources retrieved for this question cover several distinct lines of work; what follows draws on those sources and the ESP-Nexus encyclopedia pages.

Experiments

Geomagnetic correlates of ESP effect sizes. The most extensively documented line of work in the retrieved sources is a collaboration between Persinger and Rick Berger examining whether annual geomagnetic activity predicted the strength of psi effects across historical datasets. Working from Berger and Persinger (1991) ^[5], the team calculated standardized effect sizes for all card-guessing experiments published between 1882 and 1939 and correlated them with the geomagnetic index (aa) across a range of lag years.

Random Event Generator (REG) studies. Caswell, Juden-Kelly, Vares, and Persinger (2014) ^[1] investigated whether solar variables — sunspot number and solar radio flux — correlated with consciousness-correlated deviations in a hardware random physical system, using the Reflector software platform to collect REG data from seated participants in a darkened environment.

Photon density and precognition of random events. Vares and Persinger (2013) ^[3] tested whether background photon flux density measured two days prior could predict hourly RNG output, framing this as an exploration of what they called “virtual-to-matter determinism.”

Distant Reiki and intercerebral coherence. Ventura, Saroka, and Persinger (2014) ^[2] examined whether practitioners performing distant Reiki procedures produced measurable changes in EEG coherence — specifically theta-band synchrony — between the practitioner’s brain and the subject’s brain, compared to sham conditions.

Remote viewing under applied magnetic fields. A panel discussion paper co-authored by Persinger and collaborators including Linda St-Pierre (2013) ^[4] reported remote viewing scores under different field conditions, including what the authors called a “Harribance field,” a sham condition, and a Fibonacci field.

Near-death experience neurobiology. Persinger also published theoretical and critical commentary on neurobiological models of near-death experiences, engaging with limbic-discharge and hypoxia-ischemia mechanisms ^[6], though this work is interpretive rather than experimental.

The ESP-Nexus page for Persinger (Michael A. Persinger, PhD) also lists research programs on poltergeist phenomena and seismic/tectonic correlates, and on distant healing and brain synchronization, though those lines are not represented in the primary sources retrieved here.

Methodology

Historical dataset analysis (geomagnetic / ESP). Berger and Persinger (1991) ^[5] assembled all available published card-guessing experiments spanning 1882–1939 and computed standardized effect sizes year by year. They then performed lag/lead correlations between median and maximum annual effect sizes and the aa geomagnetic index at lags of −3 to +3 years, using partial correlations to control for serial autocorrelation in the geomagnetic series. The design is archival — no new experiment was run; the unit of analysis is the annual median effect size, not individual trials.

REG / consciousness studies. Caswell et al. (2014) ^[1] seated participants individually in a darkened room approximately one meter from the REG device. Participants formed intentions to influence the device output. Stouffer’s method (∑z / √n) was used to aggregate individual event z-scores. Solar variables were entered into a database alongside REG scores, and correlations with significance threshold p < .05 and r ≥ .5 were reported; partial correlations were used to test the independence of solar variable contributions. The authors acknowledge they could not exclude the possibility that the physical mass or presence of the participant itself produced proximity effects.

Intercerebral coherence (Reiki). Ventura et al. (2014) ^[2] used repeated within-subject pair analyses. EEG power overlaps between successive 4-second intervals were computed for practitioner–subject pairs across a 10-minute session (150 samples). The design compared a Reiki condition against sham groups using a multivariate repeated-measures framework. An open peer review commentary accompanying the paper raised concerns about post-hoc analyses and the handling of multiple comparisons; Persinger’s reply disputed whether standard correction procedures were applicable to the data collection method employed ^[2].

Photon-density / RNG prediction. Vares and Persinger (2013) ^[3] collected 743 hourly cases of RNG output alongside concurrent photon flux and geomagnetic data over 30 days, then ran stepwise multiple regression using up to 72 lags of each environmental variable, with a conservative entry threshold of p < .01 given the large number of variables tested.

Remote viewing / field conditions. The remote viewing analysis reported in the 2013 panel paper ^[4] used multivariate analysis of variance, with field condition and sex as factors.

Data

The retrieved sources do not present a single unified quantitative dataset; the figures below come from the individual studies as the sources contain them.

Geomagnetic correlates of ESP effect sizes — Berger & Persinger (1991) ^[5]:

The lag-1 year (geomagnetic activity in the year before publication) consistently produced the strongest correlations, confirmed by an F-test (F = 7.21, p = .01, MR reported in the source) ^[5]. Serial correlations were computed and did not materially alter the coefficients. The direction throughout is negative: quieter geomagnetic years associated with larger effect sizes.

REG / solar variables — Caswell et al. (2014) ^[1]:

Sunspot number correlated with participants’ best REG score at r = .57, p = .002 (rho = .601, p = .001); solar radio flux correlated at r = .541, p = .004 (rho = .558, p = .003). Partial correlations indicated both solar variables contributed independently.

Intercerebral coherence — Ventura et al. (2014) ^[2]:

Whole-brain theta-band coherence between practitioner–subject pairs was significantly higher in the Reiki condition than in sham groups: F(1,9) = 7.91, p < .05, η² = .47. The left temporal (T5) site showed differentiation in theta and low-alpha bands. The delta band showed a statistically significant interaction of condition × lobe × hemisphere: F(7,63) = 2.21, p < .05, partial η² = .20.

Photon density / RNG prediction — Vares & Persinger (2013) ^[3]:

A stepwise regression entering photon density at multiple lags produced a four-variable equation: R = .185, r² = .034, F(4,666) = 5.910, p < .001. The equation accounted for approximately 3% of variance in hourly RNG z-scores. The four predictor lags were 41, 47, 48, and 71 hours prior.

Remote viewing / field conditions ^[4]:

No main effect of field condition on remote viewing scores was found. A significant field × sex interaction emerged: F(2,10) = 6.85, p < .05, partial η² = .58. The effect was driven by more accurate scores for female participants exposed to the “Harribance field” compared to sham and Fibonacci conditions; male participants showed no significant differences across conditions.

Skeptical Critiques

What critics argue.

An open peer review commentary published alongside Ventura et al. (2014) ^[2] raised two explicit methodological concerns: first, that the study did not adequately distinguish post-hoc from confirmatory analyses; second, that the authors did not apply standard corrections for multiple comparisons across the seven frequency bands and multiple electrode sites examined. The reviewer argued that clarifying the confirmatory versus exploratory hypothesis structure in advance would have substantially reduced the multiple-comparisons problem.

What the experimental data show.

Persinger’s published reply ^[2] disputed whether standard multiple-comparison correction procedures were applicable given the data-collection method, without providing an alternative correction framework. The η² of .47 reported for the primary theta-band finding is a large effect for a within-subjects design with n = 10 pairs — a sample size the authors themselves acknowledged as small, noting that strong effects in small samples can justify initial reporting in other disciplines.

Analysis.

On the geomagnetic / ESP correlation work, the Berger and Persinger (1991) dataset ^[5] is archival; its unit of analysis is the annual median effect size across historical experiments rather than individual trials, which limits what standard replication procedures would look like. The ESP-Nexus spoke page on Geomagnetic activity and ESP performance notes that the effect was examined across four independent major laboratory datasets, though the retrieved primary sources do not carry the details of those replications. On the REG and photon-density work, the regression models explain small fractions of variance (approximately 3% in Vares & Persinger (2013) ^[3]), and the large number of lags entered creates substantial multiple-comparisons exposure even at the p < .01 entry threshold the authors applied. Independent replication of the photon-density precognition finding outside Persinger’s laboratory has not been documented in the sources retrieved for this question.