Telepathy

Telepathy is the apparent transfer of information from one mind directly to another, without any normal channel like speech, sight, or touch. What sets it apart from other claimed psychic abilities is the sender: one person actively tries to transmit something, and another tries to receive it. After decades of laboratory testing, the evidence remains contested, with meta-analyses pointing in opposite directions depending on which studies are counted.

Key findings

  • The most-cited telepathy database, Honorton’s autoganzfeld studies, reported a hit rate above chance when senders tried to transmit images to isolated receivers.2
  • A 1999 meta-analysis of newer ganzfeld studies found a smaller or null effect, while a 2010 re-analysis with more recent studies re-found a small effect.8
  • Related distant-intention paradigms (one person trying to affect another’s attention or physiology from afar) show a small but consistent effect across independent meta-analyses.9
  • A 2020 virtual-reality telepathy study found no effect on its preregistered measure; an exploratory analysis hinted at something, but does not count as positive evidence.11
  • Some theorists argue telepathy is not a real category at all, proposing that all psi reduces to a single information-acquisition process.7

Overview

The word telepathy was coined in the 1880s to name a simple idea: one mind reaching another across distance with no physical link. In the lab, this means a setup with two people. A sender concentrates on a target, like a picture or a film clip. A receiver, isolated in another room, tries to describe what the sender is experiencing.

This sender-receiver structure is what distinguishes telepathy from clairvoyance. In clairvoyance there is no sender at all. Someone simply tries to perceive a hidden object directly. Telepathy assumes an active mind on the transmitting end.11

Telepathy is one of the most commonly reported psychic experiences in everyday life. People say they thought of a friend just before that friend called. Identical twins report sensing each other’s distress.10 Anecdotes like these are vivid but impossible to test, because we cannot rule out coincidence, shared knowledge, or selective memory. So researchers moved the question into the laboratory, where targets are random and conditions are controlled.

Why This Is Hard to Study

If telepathy exists at all, it is faint. The effects reported in careful experiments are small. That single fact shapes every difficulty that follows.

A small effect is easy to drown in noise. To detect it reliably you need many trials, large samples, and clean procedures. Any single study tends to give an ambiguous result. To pull a small effect out of the data, researchers combine many studies using a method called meta-analysis. When you add that much data together, a small real effect can become statistically detectable even if no single study is impressive on its own. The trouble is that meta-analysis also amplifies any flaws shared across studies.

Why Small Effects Are Treacherous

One review of the field notes plainly that combining studies through meta-analysis “does not provide unambiguous results due to many small decisions made during the procedure.”5 Which studies count, how their quality is weighted, and how missing studies are estimated all change the answer. A telepathy effect near the edge of detectability is exactly the situation where these choices matter most. The same review concedes that parapsychological data contain irregularities that chance alone does not explain, while adding that “little is known about the nature of these irregularities.”5

The phenomenon also depends on conditions that are hard to control. Who the sender and receiver are, how close they feel, whether they believe in psi, and even their cultural background all seem to move results.9 When the effect itself varies with mood and relationship, a clean repeat run becomes very difficult. That is part of why a result that appears in one lab may shrink or vanish in another.

How Telepathy Has Been Tested

Three main experimental families have carried the telepathy question. Each one tries to solve a specific problem with the earlier ones.

The first was dream telepathy. At the Maimonides Dream Lab in Brooklyn, running from the early 1960s into the late 1970s, a sender in a distant room concentrated on a randomly chosen picture while a receiver slept. Dreams happen mostly during a stage of sleep called REM, short for Rapid Eye Movement, when the eyes flick back and forth under closed lids. Scientists watched for that flicker using small electrodes near the eyes, so they knew exactly when the sleeper was dreaming. They woke the receiver during REM and recorded the dream before it faded, then later checked whether the dream matched the sender’s target.13

The second family is the ganzfeld. The word is German for “whole field.” The receiver lies in mild sensory uniformity: halved ping-pong balls over the eyes under red light, soft static in headphones. The idea is that with normal senses quieted, a faint telepathic signal might surface. Meanwhile a sender in another room views a randomly selected target image or film. Afterward the receiver picks which of several images best matches their experience.1

The Autoganzfeld and Its Controls

Charles Honorton‘s autoganzfeld studies, run at the Psychophysical Research Laboratories from 1983 to 1989, automated the procedure to remove specific flaws. Two artifacts mattered most. First, sensory leakage: a worry that the receiver could pick up clues about the target through some normal channel. The autoganzfeld kept sender and receiver in separate, sound-isolated rooms, and target images were stored and presented by computer, so the experimenter judging the session never knew the target. This is double-blinding: neither the receiver nor the person scoring knows the answer, which closes the door on unconscious cueing. Second, randomization: target selection was done by an electronic random source rather than by hand, so an experimenter could not steer the choice. These reforms were a direct response to earlier criticism and are why the autoganzfeld became the field’s most-cited telepathy database.2

The third family is newer and technological. One 2020 study replaced the ganzfeld’s quiet room with virtual reality, immersing the sender in vivid 30-second VR clips of exciting activities. The thought was that a stronger sender experience might transmit more. Receivers then ranked candidate images.11 A separate strand of work uses real-time communication with sleepers, where experimenters and people in REM sleep exchanged simple signals.8

What the Experiments Found

The headline result comes from the ganzfeld. When Honorton and the psychologist Daryl Bem combined the autoganzfeld trials in 1994, receivers picked the correct target more often than blind guessing would predict.2 The excess was modest but, across the full database, statistically significant.

Across the autoganzfeld database, receivers identified the correct target about 32% of the time, against a chance expectation of 25%.2
The 1994 Hit Rate in Context

With four possible targets per trial, blind guessing should produce a 25% hit rate. The Honorton and Bem analysis reported about 32%.2 Seven percentage points above chance sounds small, and it is. But across a large number of trials, a gap that size is unlikely to be pure luck. The paper’s title framed the claim cautiously: “replicable evidence for an anomalous process of information transfer,” meaning information that seems to move between minds with no normal explanation. The competing non-psi explanation considered most seriously was selective reporting, sometimes called the file-drawer problem, where positive studies get published and null ones get filed away. The authors argued the published autoganzfeld database was complete enough to resist this, though critics disputed how completely that could be verified.3

The picture darkens when later studies are added. A 1999 meta-analysis of ganzfeld studies done after Honorton’s reported a smaller or null effect. A 2010 re-analysis that folded in more recent work re-found a small effect, especially in studies using selected, experienced participants.8 So the answer you get depends heavily on the date range and the inclusion rules.

The related distant-intention paradigms tell a steadier story. Here one person tries to affect another’s attention or physiology from a distance, rather than send a picture. Three independent meta-analyses of these tasks landed on nearly the same small effect size.9 The convergence is notable because the three tasks were run by different labs on different continents.

Convergence Across Distant-Intention Tasks

A meta-analysis of 11 attention-focusing facilitation experiments, totaling 576 sessions, found an effect of d = 0.11 (p = 0.03).9 An effect size of d = 0.11 means the average performance under the “helping” condition was about a tenth of a standard deviation above the control condition. That is very small. A p-value of 0.03 means results this strong would occur by chance about 3 times in 100 if there were no real effect, which clears the usual 5% significance bar. The striking part is that two sibling paradigms, remote staring detection and electrodermal DMILS, produced effects of nearly identical size, around d = 0.11 to 0.13.4 Across roughly 62 studies and 1,970 sessions these effect sizes were statistically homogeneous, which the authors read as conceptual replication.12 One non-psi check was publication status: published and unpublished studies showed no significant difference, weakening the file-drawer explanation for this particular paradigm.9

The newer technological tests have not produced clean wins. The virtual-reality telepathy study did not meet its main goal.11 Its preregistered hit-rate measure stayed at chance. An exploratory analysis of receivers’ top two ranked choices looked suggestive, but per ESP-Nexus’s evidential standard an exploratory finding after a preregistered failure is hypothesis-generating only. It does not count as positive evidence until an independent preregistered replication confirms it.

The VR Study, Read Honestly

The 2020 proof-of-concept used a within-participants crossover design with 11 pairs of participants, mostly friends and colleagues, recruited without psi pre-screening.11 The preregistered primary measure compared the mean hit rate to a 20% chance baseline. It came in at 25%, not significantly above chance (p = 0.17). A post hoc analysis of the top-two ranked choices reached 52% against a 40% baseline (p = 0.018). The authors were candid that the work was “more suggestive than conclusive,” and a power analysis indicated about 80 pairs would be needed to detect an effect this small with confidence.11 The small sample is the central limit: a study this size cannot settle anything either way.

Individual studies in the reference library

The studies listed below are individual telepathy results currently held in the ESP-Nexus reference library beyond those already discussed above. What share of the published literature on telepathy they represent has not been measured, so the list summarizes what the library holds rather than counting what has been published. Most of these studies use telephone, email or text-message protocols, a research line the sections above do not cover in detail. The studies also report different kinds of number (hit rates against different chance levels, standardized effect sizes, z values, and p values alone), and those cannot be added together into one bottom-line figure.

Sheldrake and Smart (2003)15
Design and scaleTelephone telepathy tests in which each participant had four potential callers and guessed who was calling before the other person spoke; 571 trials by 63 participants, with a further videotaped series of 292 trials
Reported resultOverall success rate 40% against a 25% chance level (95% confidence limits 36% to 45%); 133 of 292 videotaped trials correct (46%); with familiar callers 53% of guesses were correct (n = 190, p = 1 × 10⁻⁶), with unfamiliar callers 25%, exactly at chance
Sheldrake and Smart (2005)16
Design and scaleEmail telepathy test; Series 1 consisted of 552 unfilmed trials by 50 participants
Reported result235 hits (43%) against a 25% chance expectation, z = 9.49, p = 2 × 10⁻¹⁹, Cohen d = 0.42; 95% confidence limits 38% to 47%
Sheldrake and Lambert (2007)17
Design and scaleAutomated online telephone telepathy test with real and computer-supplied virtual senders; 198 completed 10-trial tests, 1,980 trials in total
Reported result581 hits (29.3%) against a 25% chance expectation, p = 0.000006
Sheldrake and Avraamides (2009)18
Design and scaleAutomated email telepathy test; 419 trials, including data from incomplete tests
Reported result175 hits (41.8%) against a 33.3% chance level, p = .0001; hit rates in incomplete tests were higher than in complete tests
Sheldrake, Avraamides and Novák (2009)19
Design and scaleAutomated SMS telepathy test scored against a 33.3% mean chance expectation; 886 trials
Reported result336 hits (37.9%), p = .001; the hit rate in incomplete tests was 38.4% (p = .03), which the authors present as showing that optional stopping could not explain the result
Sheldrake and Beharee (2009)20
Design and scaleAutomated online telepathy test in which each participant had four potential senders; terminated at a predetermined 500 complete tests, 6,000 trials
Reported result1,559 hits (26.7%) against a 25% chance level, p = .002, Cohen d = 0.03; in filmed tests the hit rate was very similar
Schmidt, Erath, Ivanova and Walach (2009)21
Design and scaleThree phone-call replication studies: 21 participants identifying the callers of 20 calls each (397 valid trials), an eight-participant study with a pre-selection test, and 60 further trials with the highest-scoring participant
Reported resultStudy 1: 26.7% identified correctly against a 25% mean chance expectation, not significant; study 2: 30% correct (p = .15), with one participant recognizing 10 of 20 calls (p = .014); study 3: the same participant identified 24 callers correctly in 60 trials (p = .007)
Rey, Berens, Dietz, Hesser, Schäfer and Schirmer (2010)22
Design and scaleConceptual replication using Zener cards with 96 student participants; 2,400 measurements in each of the telepathy, clairvoyance and precognition conditions
Reported resultTelepathy condition: 493 hits against an expected 480 (p = .26), not significant; the clairvoyance (p = .31) and precognition (p = .89) conditions were also non-significant
Sheldrake, Smart and Avraamides (2015)23
Design and scaleAutomated telephone telepathy tests on mobile phones; 2,080 trials with three callers and 745 trials with two callers
Reported result869 hits (41.8%) against the 33.3% chance level in the three-caller tests; 411 hits (55.2%) against the 50% chance level in the two-caller tests (p = .003); the incomplete-test hit rate was 43.8% (p = .00003), which the authors present as showing that optional stopping could not explain the positive results
Wahbeh, Cannard, Radin and Delorme (2023)24
Design and scaleSmartphone test of guessing who is calling; 177 participants completed at least one trial, and the 105 who completed all 12 trials contributed 210 telepathic/pre-selected trials
Reported result101 hits in 210 trials (48.1%, 95% confidence interval 41.4% to 54.8%) against a 33.3% chance expectation, p < .001; the same completers’ 630 precognitive/post-selected trials were not above chance (31.9%)
Sheldrake and Stedall (2024)25
Design and scaleFour new automated telephone telepathy test designs, each with groups of three participants who knew each other
Reported resultTests in a continuous “conference call” format showed no significant telepathic effects; in the second type of test, in which non-callers were unaware that trials were taking place, 266 trials produced a 57% hit rate against a 50% chance level (p = .01)
Silberstein and Bigelow (2024)26
Design and scaleEEG study of sensorily isolated monozygotic twins; five twin pairs served twice as participants, with the sender twin viewing 50 general and 50 personally relevant images per session
Reported resultThe experiment-wide trinomial test was significant at p = 4 × 10⁻⁸ (Df = 175), with a Cohen’s d equivalent of 0.85
Stedall and Tressoldi (2025)27
Design and scalePreregistered independent replication in which 117 participants identified which of two callers was calling to their smartphone; 604 trials
Reported result294 correct identifications (48.6%), slightly below the 50% chance level (z = −.61, p = .76, one-tailed); an exploratory analysis found that participants using intuitive strategies performed better than those using rational strategies
Sheldrake, Stedall and Tressoldi (2025)28
Design and scaleMeta-analysis of 26 telecommunication telepathy experiments from 15 papers published between 2003 and 2024
Reported resultStandardized effect size 0.17 (p = 1 × 10⁻⁷) under telepathy conditions; hit rates in tests carried out under precognitive conditions were at chance; the paper reports no significant difference between the results of Sheldrake and his colleagues and independent replications

Both directions are represented in the set. The telephone and email program’s own reports include the 2003 telephone tests, where the 40% overall success rate rose to 53% with familiar callers and fell to exactly chance with unfamiliar ones,15 the 2005 email series at 43% against a 25% chance expectation (z = 9.49),16 the automated online test at 29.3% against 25%,17 the email and SMS tests at 41.8% and 37.9% against a 33.3% chance level,1819 the mobile-phone tests at 41.8% with three callers and 55.2% with two,23 and the rapid online test’s much smaller margin of 26.7% against 25%.20 Outside that program, Wahbeh, Cannard, Radin, and Delorme report 48.1% against a 33.3% chance expectation on their telepathic trials,24 and Silberstein and Bigelow report a significant anomalous-interaction effect in five monozygotic twin pairs.26 The chance-level results come from replications by other groups: Schmidt, Erath, Ivanova, and Walach’s studies with self-selected samples,21 the Zener-card conceptual replication by Rey and colleagues,22 and Stedall and Tressoldi’s preregistered two-caller test.27

Several of the papers qualify their own results directly. Sheldrake and Stedall report that their continuous “conference call” tests showed no significant telepathic effects, with the positive result coming from tests in which trials were conducted less frequently and non-callers were unaware that trials were taking place.25 Schmidt and coauthors conclude that they “could not find any anomalous cognition effect in self-selected samples” while adding that their data “strongly suggest that there are a few participants who are able to score reliably and repeatedly above chance.”21 The 2025 meta-analysis reports that hit rates under precognitive conditions were at chance, that selected participants had significantly higher hit rates than unselected participants, and that hit rates were significantly higher when callers and participants shared an emotional bond.28 Stedall and Tressoldi’s null result carries its own exploratory observation, that intuitive responders outperformed rational ones, offered as a lead rather than a conclusion.27

How Researchers Interpret the Data

It is worth separating the data from the explanations. The data are the hit rates and effect sizes above. The explanations are a different and far more contested matter.

The traditional interpretation takes telepathy literally: some signal or connection carries information from sender to receiver. But this reading runs into a problem. Shielding the rooms does not seem to block the effect, which is strange for any ordinary signal.7 That puzzle has driven some theorists to abandon the idea of a sender entirely.

The “Informational Psi” Challenge to Telepathy

One theoretical program argues that telepathy is not a real, separate phenomenon. On this view all psi reduces to a single process of acquiring information from a distant point in spacetime, with no transmitting mind required.7 The authors reject the telepathy hypothesis on several grounds: no evidence for an information-carrying signal leaving the brain, no unique neural correlate for thought transmission, and the fact that physical shielding does not stop the effect.7 This is a theoretical reframing, not a new dataset; it reinterprets existing results rather than adding measurements. A competing philosophical position holds that the mind-to-mind versus mind-to-object distinction is conceptually clear and should be kept: “It’s telepathy so long as the interaction is between minds.”6 No consensus interpretation has emerged.

So even among researchers who accept that the data show something, there is open disagreement about whether “telepathy” names anything real. The proposed mechanisms are plural and contested. The experimental finding of a small above-chance effect can stand on its own without committing to any one of them.

Skeptical Critiques and Discussion

Critique 1: The original ganzfeld database had flaws in how the studies were run.

The psychologist Ray Hyman’s 1985 critique identified problems in the early ganzfeld work, including possible sensory leakage and weaknesses in randomization and judging.2

Honorton’s response was not to argue but to rebuild the method. The autoganzfeld automated target selection with an electronic random source, isolated sender and receiver, and kept the judging blind, directly addressing the named flaws.2

Analysis. Hyman’s critique and Honorton’s redesign are often cited as a model of how a skeptical challenge can improve a paradigm. The reforms eliminated several specific artifacts. Whether the residual effect in the cleaned-up database is real remains the point still contested by later meta-analyses.

Critique 2: Newer ganzfeld studies do not replicate the original effect.

A 1999 meta-analysis by Milton and Wiseman of post-Honorton studies reported a smaller or null effect, suggesting the result does not reliably repeat.8

A 2010 re-analysis by Storm, Tressoldi, and Di Risio added more recent studies and again found a small effect, strongest in studies using selected, experienced participants.8

Analysis. The two meta-analyses cover overlapping but different sets of studies and reach different conclusions, which shows how sensitive the answer is to inclusion rules and participant selection. Storm and Tressoldi’s later work continued to report evidence of anomalous communication using the ganzfeld with selected participants.8 An independent, large, preregistered ganzfeld series with fixed inclusion rules has not resolved the disagreement.

Critique 3: Sophisticated psi paradigms fail when others try to replicate them with adequate power.

Walach and colleagues ran two preregistered replications of the matrix experiment, a psychokinesis paradigm, and both failed to reproduce the original positive findings even though the studies had enough power to detect the original effect.14

The same authors argue the failure is not proof that nothing is there. They propose a “no-signal-transfer” model in which non-local correlations cannot be turned into a reliably extractable signal, predicting exactly this decline.14

Analysis. The matrix experiment tests psychokinesis, not telepathy directly, but the replication problem it documents recurs across psi paradigms. The authors’ post-hoc power analysis (88% and 69%) refutes the claim that underpowering caused the nulls. Their interpretation that the failure supports a non-local model is itself untestable in the usual way, which the authors acknowledge.

Critique 4: The large telephone-telepathy effects come from one research program, and replications by other groups have found chance results.

Stedall and Tressoldi’s preregistered replication asked 117 participants to identify which of two callers was calling; the 294 correct identifications in 604 trials (48.6%) fell slightly below the 50% chance level (z = −.61, p = .76).27 Schmidt, Erath, Ivanova, and Walach’s three replication studies found 26.7% correct against a 25% chance expectation in the first study (not significant), and the authors conclude that they “could not find any anomalous cognition effect in self-selected samples.”21 A German conceptual replication using Zener cards recorded 493 telepathy hits where 480 were expected by chance (p = .26).22

The Sheldrake, Stedall, and Tressoldi meta-analysis of 26 telecommunication telepathy experiments reports a standardized effect size of 0.17 (p = 1 × 10⁻⁷) and no significant difference between the results of Sheldrake and his colleagues, who carried out most of the studies, and independent replications; it also reports that hit rates were significantly higher when callers and participants shared an emotional bond.28 Schmidt’s own series ended with one pre-selected participant identifying 24 of 60 callers correctly (p = .007),21 and the 2024 Sheldrake–Stedall tests produced a 57% hit rate against a 50% chance level in the 266 trials where non-callers were unaware that trials were taking place.25

Analysis. The split runs along design and participant lines. Automated tests with emotionally bonded callers report large above-chance hit rates,151623 while the two-caller preregistered replication27 and the card-guessing conceptual replication22 report chance results. Schmidt’s conclusion names both directions in one breath: no anomalous cognition effect in self-selected samples, alongside data suggesting a few participants who score reliably above chance.21

Open Questions: What Would Settle This

The telepathy debate has stalled on a single recurring weakness: the effect, if real, is small and unstable, and meta-analyses disagree because they count different studies. The fix is not another clever paradigm. It is a large, preregistered, adversarial study with rules locked in advance.

A decisive experiment would look like this. Skeptics and proponents agree on the protocol before any data are collected: the ganzfeld procedure, the participant selection criteria, the randomization source, the blind judging method, the sample size, and the analysis plan, all fixed and published in advance. The sample would be large enough to detect the small effect that distant-intention meta-analyses predict, which means hundreds of sessions, not dozens.11 No exploratory analyses would be allowed to count as confirmation.

Two specific questions could be settled this way. First, does the selected-participant effect (the claim that experienced or believing receivers do better) survive a preregistered test, or is it an artifact of optional stopping and flexible scoring?8 Second, does the sender matter at all? A clean comparison of sender versus no-sender conditions, run blind and at scale, would test the very thing that defines telepathy.1 If the effect appears only when a sender is present, that supports the literal reading. If it appears equally without a sender, the informational-psi theorists are right that telepathy is not a separate category.7 Either result would be progress. So far, no such adversarial study at adequate scale has been published.

References
  1. Morris, R., Dalton, K., Delanoy, D., & Watt, C. (1995). Comparison of the sender/no sender condition in the ganzfeld. Proceedings of the 38th Annual Convention of the Parapsychological Association, 244–259. R001 [Morris 1995] ↩︎
  2. Bem, D., & Honorton, C. (1994). Does psi exist? Replicable evidence for an anomalous process of information transfer. Psychological Bulletin, 115(1), 4–18. https://doi.org/10.1037/0033-2909.115.1.4 R002 [Bem 1994] ↩︎
  3. Bem, D. (1994). Does psi exist? Replicable evidence for an anomalous process of information transfer. Psychological Bulletin, 115, 4–18. R003 [Bem 1994] ↩︎
  4. Schmidt (2012). Aristotle’s Fly Remarks on anomalism and a research overview on the connection between meditation and psi Stefan Schmidt 1 Summary – The first part of this article discusses the claim that perception. Zeitschrift für Anomalistik / Journal of Anomalistics, 12(23), 158. https://www.anomalistik.de/images/pdf/zfa/zfa2012_23_158_schmidt.pdf R004 ↩︎
  5. Mayer, G. (2014). Experimentelle Parapsychologie. Eine Einführung [Experimental Parapsychology. An Introduction] by Stefan Schmidt. Journal of Scientific Exploration, 29(2). https://journalofscientificexploration.org/index.php/jse/article/view/891 R005 [Mayer 2014] ↩︎
  6. Braude, S. (2020). More Terminological Blunders. Journal of Scientific Exploration, 34(3), pp. 427–433. https://journalofscientificexploration.org/index.php/jse/article/view/1899 R006 [Braude 2020] ↩︎
  7. Marwaha, S. (2019). Informational Psi Collapsing the Problem Space of Psi Phenomena Sonali Bhatt Marwaha, Edwin…. Zeitschrift für Anomalistik / Journal of Anomalistics, 19(12), 12. https://doi.org/10.23793/zfa.2019.12 R007 [Marwaha 2019] ↩︎
  8. Cardeña, E. (2021). Recent Publications of Note. Journal of Anomalous Experience and Cognition, 1(1-2), pp. 192–195. https://journals.lub.lu.se/jaex/article/view/23496 R008 [Cardeña 2021] ↩︎
  9. Schmidt, S. (2012). Can We Help Just by Good Intentions? A Meta-Analysis of Experiments on Distant Intention Effects. The Journal of Alternative and Complementary Medicine, 18(6), 529–533. https://doi.org/10.1089/acm.2011.0321 R009 [Schmidt 2012] ↩︎
  10. Tart, C. (2016). Brains and Beyond The Unfolding Vision of Health and Healing. EXPLORE, 12(5), 314–324. https://doi.org/10.1016/j.explore.2016.06.011 R010 [Tart 2016] ↩︎
  11. Vernon, D., Sandford, T., & Moyo, E. (2020). Using Virtual Reality to Test for Telepathy: A Proof-of-Concept Study. Journal of Scientific Exploration, 34(4), pp. 683–702. https://journalofscientificexploration.org/index.php/jse/article/view/1833 R011 [Vernon 2020] ↩︎
  12. Radin, D. (2001). Biofield Science and Healing: Toward a Transdisciplinary Approach. Annals of Internal Medicine, 134(6), 532. https://doi.org/10.7326/0003-4819-134-6-200103200-00024 R012 [Radin 2001] ↩︎
  13. Dalton, K., & Sherwood, S. (1999). A dream GESP experiment using dynamic targets and consensus vote. Journal of the American Society for Psychical Research, 93, 145–166. R013 [Dalton 1999] ↩︎
  14. Walach, H., Kirmse, K., Sedlmeier, P., Vogt, H., Hinterberger, T., & von Lucadou, W. (2021). Nailing Jelly: The Replication Problem Seems to Be Unsurmountable. Two Failed Replications of the Matrix Experiment. Journal of Scientific Exploration, 35(4), pp. 788–828. https://journalofscientificexploration.org/index.php/jse/article/view/2031 R014 [Walach 2021] ↩︎
  15. Sheldrake, R., & Smart, P. (2003). Experimental Tests for Telephone Telepathy. Journal of the Society for Psychical Research, 67(872). R015 [Sheldrake & Smart 2003] ↩︎
  16. Sheldrake, R., & Smart, P. (2005). Testing for Telepathy in Connection with E-mails. Perceptual and Motor Skills, 101, 771–786. https://doi.org/10.2466/pms.101.7.771-786 R016 [Sheldrake & Smart 2005] ↩︎
  17. Sheldrake, R., & Lambert, M. (2007). An Automated Online Telepathy Test. Journal of Scientific Exploration, 21(3), 511–522. R017 [Sheldrake & Lambert 2007] ↩︎
  18. Sheldrake, R., & Avraamides, L. (2009). An Automated Test for Telepathy in Connection with Emails. Journal of Scientific Exploration, 23(1), 29–36. https://journalofscientificexploration.org/index.php/jse/article/view/109 R018 [Sheldrake & Avraamides 2009] ↩︎
  19. Sheldrake, R., Avraamides, L., & Novák, M. (2009). Sensing the sending of SMS messages: an automated test. Explore: The Journal of Science and Healing, 5, 272–276. https://doi.org/10.1016/j.explore.2009.06.004 R019 [Sheldrake et al. 2009] ↩︎
  20. Sheldrake, R., & Beharee, A. (2009). A Rapid Online Telepathy Test. Psychological Reports, 104, 957–970. https://doi.org/10.2466/pr0.104.3.957-970 R020 [Sheldrake & Beharee 2009] ↩︎
  21. Schmidt, S., Erath, D., Ivanova, V., & Walach, H. (2009). Do You Know Who is Calling? Experiments on Anomalous Cognition in Phone Call Receivers. The Open Psychology Journal, 2, 12–18. https://doi.org/10.2174/1874350100902010012 R021 [Schmidt et al. 2009] ↩︎
  22. Rey, G. D., Berens, K., Dietz, E., Hesser, M., Schäfer, S., & Schirmer, A. (2010). Konzeptuelle Replikationsstudie zu Experimenten zur Außersinnlichen Wahrnehmung [Conceptual replication study of experiments on extrasensory perception]. Zeitschrift für Anomalistik, 10, 58–115. https://www.anomalistik.de/images/pdf/zfa/zfa2010_12_058_rey_et_al.pdf R022 [Rey et al. 2010] ↩︎
  23. Sheldrake, R., Smart, P., & Avraamides, L. (2015). Automated Tests for Telephone Telepathy Using Mobile Phones. Explore, 11(4), 310–319. https://doi.org/10.1016/j.explore.2015.04.001 R023 [Sheldrake et al. 2015] ↩︎
  24. 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 R024 [Wahbeh et al. 2023] ↩︎
  25. Sheldrake, R., & Stedall, T. (2024). A Comparison of Four New Automated Telephone Telepathy Tests. Journal of Anomalous Experience and Cognition, 4(1), 122–141. https://journals.lub.lu.se/jaex/article/view/25250 R025 [Sheldrake & Stedall 2024] ↩︎
  26. Silberstein, R. B., & Bigelow, F. J. (2024). Brain functional connectivity correlates of anomalous interaction between sensorily isolated monozygotic twins. Frontiers in Human Neuroscience, 18, 1388049. https://doi.org/10.3389/fnhum.2024.1388049 R026 [Silberstein & Bigelow 2024] ↩︎
  27. Stedall, T., & Tressoldi, P. (2025). Who is calling? An Independent Replication of a Telephone Telepathy Test. Journal of Scientific Exploration, 39(2), 203–206. https://journalofscientificexploration.org/index.php/jse/article/view/3543 R027 [Stedall & Tressoldi 2025] ↩︎
  28. Sheldrake, R., Stedall, T., & Tressoldi, P. (2025). Telecommunication Telepathy: A Meta-Analysis. Journal of Anomalous Experience and Cognition, 5(1), 47–69. https://journals.lub.lu.se/jaex/article/view/25934 R028 [Sheldrake et al. 2025] ↩︎