what is the case for clairvoyance

The Case for Clairvoyance

Coverage note first: the evidence table below reflects studies currently in the ESP-Nexus library. The library’s share of the published literature on clairvoyance has not been measured, so what follows is a summary of what the library holds — not a settled account of the field. Treat it accordingly.

Clairvoyance — the claimed direct perception of objects or events without any known sensory channel or intermediary mind — has been studied experimentally for roughly a century. The case for it rests on several converging lines of evidence, though important questions remain open.

What the experimental case looks like

The five studies in the evidence table use two different metric types (hit rates and standardized effect sizes), which cannot be pooled into a single bottom-line figure. The pattern across them, taken individually:

StudyDesignMetricDirection
Rock (2023)Free-response, exceptional subjects meta-analysisES = 0.41 (Cohen’s d), CI [0.28, 0.53]Positive
Delorme (2016)12 participants, 404 trials, photo targetsHit rate = 0.538, p < 0.004 (two-tailed)Positive
Vasse (1955)Duke clairvoyance cards, 975 trials, 39 runsHit rate = 0.271, z = 5.52Positive
Shen (2021)34 trials, single participantHit rate = 0.147, p < .00001Positive
Steinkamp (1998)22 study pairs, meta-analysisES = 0.009 (z/√N)Positive (near zero)

Every row in the library points in the positive direction, but the magnitude varies considerably. Rock (2023), focusing on exceptional subjects across free-response clairvoyance and precognition trials, reports a Cohen’s d of 0.41 with a confidence interval that does not cross zero — a finding the authors describe as their overall meta-analytic result. Vasse (1955), using the classic Duke card protocol, reports a z of 5.52 across 975 trials, which is a large departure from chance in the forced-choice paradigm. Delorme (2016) found an accuracy rate of 0.538 across 404 trials with 12 participants, statistically significant on a two-tailed test.

By contrast, Steinkamp (1998) — a meta-analysis of 22 comparable study pairs comparing clairvoyance with precognition — returns a near-zero standardized effect size of 0.009. Morris (1998) notes directly that the general lack of significant findings in that database does not conclusively indicate a genuine absence of an effect, given low statistical power across only 22 study pairs, and recommends treating the contrast in effect sizes as a suggestive guide to moderator variables rather than a settled verdict.

The methodological argument

A central methodological achievement in early clairvoyance research was the isolation of clairvoyance from telepathy. As documented in the laboratory literature, clairvoyance trials allow testing without a sender, which removes the confound of another mind transmitting information. This isolation — one participant, no agent — was regarded as an advantage for establishing the ESP case precisely because it reduced the interpretive ambiguity present in earlier telepathy work. Where a sender or future component cannot be ruled out, researchers typically relabel outcomes “general extrasensory perception” (GESP) rather than clairvoyance specifically, as the ESP-Nexus Clairvoyance page discusses.

Unsettled signals — what the evidence does not settle

Several points of genuine uncertainty run through this evidence base:

  • Heterogeneity in effect size. The range from near-zero (Steinkamp 1998) to moderate-large (Rock 2023) across different designs and populations is not explained by the studies themselves. The Steinkamp meta-analysis explicitly acknowledges low statistical power as a possible reason for its near-null result rather than a substantive absence of effect.
  • Exceptional-subject designs vs. unselected populations. Rock (2023) specifically targets exceptional subjects. Results from that design are not straightforwardly generalizable to unselected participants, and the two framings may be measuring different things.
  • Single-participant data. Shen (2021) is based on 34 trials from one participant. A p-value below .00001 in that setting reflects a strong departure from chance in that individual’s trials; it does not establish the effect in a broader population.
  • Precognition confound. In free-response designs, clairvoyance and precognition are difficult to disentangle, which is why Rock (2023) explicitly frames its meta-analysis as covering both. Whether the effect, where present, is better attributed to one or the other remains an open design question.
Skeptical critiques

What critics argue. A core methodological objection to clairvoyance research — particularly the Duke card era — concerns procedural safeguards: target randomization, sensory leakage prevention, and the possibility of recording errors or inadvertent cuing. Steinkamp (1998) catalogs procedural safeguard variables explicitly, noting that factors such as how targets were randomized and whether participant access to the target during a trial was genuinely prevented varied across studies. Critics have argued that positive results in forced-choice paradigms are more parsimoniously explained by methodological weakness than by genuine information transfer.

What the experimental data show. Steinkamp’s own analysis within 22 study pairs found a near-zero mean effect size, which is consistent with the argument that better-controlled studies yield smaller effects. Rock (2023) reports a positive effect concentrated in exceptional-subject free-response work, where the design differs substantially from early card-guessing protocols. Vasse (1955) produced a large z-statistic under the Duke protocol, but that protocol predates the tightest modern controls.

Analysis. The two meta-analyses in the evidence base point in opposite directions on magnitude — Steinkamp’s near-zero result and Rock’s moderate Cohen’s d — and they are not directly comparable because they cover different study types, different target materials, and different participant selection strategies. Independent replication of the exceptional-subject free-response effect outside the groups that produced it has not been extensively documented in the sources retrieved here. The procedural-safeguard critique applies most directly to the older forced-choice literature; whether it applies with equal force to contemporary free-response designs is a question the retrieved sources do not fully resolve.

For broader context on how clairvoyance research fits into the ESP literature, the ESP-Nexus Clairvoyance page and the Dream Clairvoyance page cover additional design considerations and historical background.

The studies behind this answer
PaperReported findingEffect / significanceBasis
Rock et al. (2023), International Journal of Transpersonal Studies [source]Free response clairvoyance-precognition exceptional subjects: overall meta-analysis.ES 0.41
Shen et al. (2021), Journal of Scientific Exploration [source]Combined 34 trials — full hits.p < 1 × 10−5, hit rate 0.1471N = 34 trials; 1 participants
Delorme et al. (2016), Frontiers in Human Neuroscience [source]Overall accuracy across all 12 participants and all photos.p < .004, hit rate 0.538N = 404 trials; 12 participants
Steinkamp et al. (1998), The Journal of Parapsychology [source]Comparable studies sample – clairvoyance mean ES.ES 0.00922 studies
Vasse et al. (1955)Main ESP series.z = 5.52, hit rate 0.271N = 975 trials
Source: ESP-Nexus structured study database (5 studies). ESP-Nexus reports what each study found and takes no position on whether the effects are genuine.
References
  1. Rock, A. J., Houran, J., Tressoldi, P. E., & Laythe, B. (2023). Is Biological Death Final? Recomputing the Drake-S Equation for Postmortem Survival of Consciousness. International Journal of Transpersonal Studies, 42, 9–26. https://doi.org/10.24972/ijts.2023.42.1.9
  2. Shen, D., Shen, R., & Li, G. (2021). Laboratory Investigations of Extrasensory Identification of Concealed 5-Character Codes by a Presumably Gifted Teenager in China. Journal of Scientific Exploration, 35(3), 570–589. https://doi.org/10.31275/20211827
  3. Delorme, A., Pierce, A., Michel, L., & Radin, D. (2016). Prediction of Mortality Based on Facial Characteristics. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2016.00173
  4. 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.
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