what is the evidence for DMILS

Evidence for DMILS (Direct Mental Interactions with Living Systems)

Scope note first: The studies below represent what the ESP-Nexus library currently holds on this question. The library’s share of the published literature on DMILS has not been measured, so this is a summary of what the library holds — not a settled account of the field. The picture may be skewed in ways that are not yet quantifiable from this sample alone.

DMILS is a laboratory paradigm testing whether one person’s focused mental intention can produce measurable physiological change in a spatially separated, shielded individual. The most common physiological measure is electrodermal activity (EDA). The paradigm has two main branches in the evidence below: remote staring (can a receiver detect, via EDA, when a distant person is looking at them?) and cognitive/intentional DMILS (can a “helper’s” intention alter a “helpee’s” behavior or EDA?).

What the structured evidence shows

The six studies in the library’s evidence base use different metrics — hit rates, standardized effect sizes, and p-values alone — and they cannot be pooled into a single overall figure. The table below keeps each study’s metric on its own row.

StudyConditionN (trials / participants)StatisticDirection
Sheldrake (2024)Animals woken by staring — directional response rate145 trialsHit rate = 0.26Positive
Sheldrake (2024)Total pooled cases (all four categories)248 trials(p not reported in row)Positive
Sheldrake (2008)Attentional Transition Tests — overall hit rate2,800 trials, 2 participantsHit rate = 0.528, p = .002Positive
Miller (2009)Conscious guessing MANOVA — staring main effect43 participantsp = .43Null
Schlitz (2006)Condition A: Schlitz as both greeter and sender1,000 trials, 25 participantsES = −0.03 (Cohen’s h), z = −0.17, p = .87Null
Schlitz (2006)Condition D: Wiseman as both greeter and sender1,040 trials, 26 participantsES = −0.07 (Cohen’s h), z = −0.35, p = .72Null
Wiseman (1999)Receivers run by Wiseman (skeptic) — EDA stare vs. non-stare1,120 trials, 35 participantsES = −0.07 (Cohen’s h), z = −0.39, p = .69Null
Wiseman (1999)Receivers run by Schlitz (proponent) — EDA stare vs. non-stare1,120 trials, 35 participantsES = −0.33 (Cohen’s h), z = −1.93, p = .05Positive
Wiseman (1997)Receivers run by Wiseman — EDA stare vs. non-stare512 trials, 16 participantsz = −0.44, p = .64Null
Wiseman (1997)Receivers run by Schlitz — EDA stare vs. non-stare512 trials, 16 participantsz = −2.02, p = .04Positive

Five of the ten result rows report null or below-chance outcomes. Reported directions disagree across studies, and this disagreement is an unsettled signal the evidence base itself flags.

The experimenter-effect pattern

The most striking and analytically load-bearing feature of the structured evidence is not an overall positive effect — it is a systematic split by experimenter identity. In both the 1997 and 1999 Wiseman–Schlitz collaborations, sessions run by Marilyn Schlitz produced positive EDA results while sessions run by the skeptic experimenter produced null results, using the same protocol in the same lab with randomly assigned participants. This pattern was not a fluke of one study; it replicated across the two collaborations.

However, a third joint collaboration — Schlitz, Wiseman, Watt, and Radin (2006) — failed to replicate the experimenter-effect pattern that had appeared in the first two. Both conditions in 2006 (whether Schlitz or the skeptic experimenter served as sender) produced null results, as the table above shows.

The DMILS page for Marilyn J. Schlitz treats this sequence at depth.

Broader experimental context

Beyond remote staring, the paradigm has been extended in several directions the retrieved sources document:

  • EDA response characteristics: Stevens (2000) analyzed datasets from two past DMILS-EDA studies to characterize whether electrodermal responses to remote monitoring resemble sensory responses. The analysis found consistent patterns in response variance across conditions and across studies, suggesting a replicable structure to EDA-DMILS responses at the individual level — though the retrieved excerpt does not carry a significance figure for this characterization.
  • Training and shielded environments: Delanoy and Morris (1998) ran a DMILS training study using two shielded environments. The primary overall measure did not reach significance, and the effect sizes obtained were consistent with the range reported in other DMILS-EDA work cited in that paper.
  • Cross-cultural replication: Edge, Suryani, Tiliopoulos, and Morris (2004) ran two cognitive DMILS studies in Bali, examining whether the paradigm could be implemented in a non-Western cultural context. The studies did not produce a significant overall result, and the finding that meditation training did not straightforwardly facilitate psi interaction was among the reported null outcomes. The most notable pattern was that need in the receiver (helpee) appeared more associated with psi interaction than intention in the sender (helper), though the sample sizes limited conclusions.
  • Literature survey: Deborah L. Delanoy reviewed anomalous psychophysiological responses to remote cognition across DMILS studies for a European Journal of Parapsychology volume, and co-developed signal-engineering methods for detecting DMILS effects in EDA records with Wackermann and Morris.
Skeptical critiques

What critics argue. The DMILS literature’s reliability has been questioned on several grounds. Source cites a researcher questioning whether reliability indices are even calculable for EDA-DMILS data, arguing that “a discussion of reliabilities makes little sense” because computing such indices in EDA research — and especially in DMILS research — is methodologically problematic. This raises the question of whether the EDA signal being measured is stable enough to support the inferences drawn from it.

What the experimental data show. Stevens (2000) directly examined response characteristics of EDA-DMILS data across two past studies and found consistent variance patterns across conditions, suggesting some replicable structure. Delanoy and Morris (1998) acknowledged that their overall measure did not reach significance while reporting effect sizes consistent with the broader DMILS-EDA literature. The Wiseman–Schlitz collaboration is the clearest case study: the same protocol, randomly assigned participants, and simultaneous data collection produced divergent outcomes depending solely on who ran the session [see structured evidence rows above].

Analysis. The reliability and replication picture is genuinely mixed. The experimenter-effect hypothesis that emerged from two Wiseman–Schlitz collaborations was not confirmed in the third joint study. Cross-cultural extension in Bali did not produce a significant effect. The 2006 null results — obtained by both a proponent and a skeptic experimenter — stand alongside earlier positive results that were themselves experimenter-dependent. Whether the EDA signal is stable enough to support firm conclusions remains a specific open question raised in the literature, and independent replication outside the original experimenter pairs has not consistently reproduced the positive pattern.

For a deeper synthesis of how DMILS fits Schlitz’s broader research program, see the DMILS spoke page on her scientist hub, and for the cross-cultural dimension, Hoyt Edge’s Balinese fieldwork page.

The studies behind this answer
PaperReported findingEffect / significanceBasis
Sheldrake et al. (2024), Journal of Scientific Exploration [source]Animals woken by people staring – directional response rate.hit rate 0.26N = 145 trials
Miller et al. (2009), European Journal of Parapsychology [source]Conscious guessing MANOVA – staring main effect.p = .43N = 43 participants
Sheldrake et al. (2008), Journal of Scientific Exploration [source]Attentional Transition Tests: Overall hit rate.p = .002, hit rate 0.528N = 2800 trials; 2 participants
Schlitz et al. (2006), British Journal of Psychology [source]Present Study — Condition A: MS as both greeter and sender.ES -0.03, z = -0.17, p = .871 studies; N = 1000 trials; 25 participants
Wiseman et al. (1999), Proceedings of Presented Papers: The Parapsychological Association 42nd Annual ConventionParticipants run by R.ES -0.07, z = -0.39, p = .69N = 1120 trials; 35 participants
Wiseman et al. (1997), Journal of Parapsychology [source]Receivers run by R.z = -0.44, p = .64k = 1; N = 512 trials; 16 participants
Source: ESP-Nexus structured study database (6 studies). ESP-Nexus reports what each study found and takes no position on whether the effects are genuine.
References
  1. Sheldrake, R., & Smart, P. (2024). Is it Possible to Wake Sleeping People and Non-Human Animals by Staring at Them? Journal of Scientific Exploration, 38(4). https://doi.org/10.31275/20243359
  2. Miller, S., Schmidt, S., & Walach, H. (2009). The Feeling of Being Stared at: A Parapsychological Classic with a Facelift. European Journal of Parapsychology, 117–138.
  3. Sheldrake, R., & Smart, P. (2008). Investigating Scopesthesia: Attentional Transitions, Controls and Error Rates in Repeated Tests. Journal of Scientific Exploration, 22(4), 517–527.
  4. Schlitz, M., Wiseman, R., Watt, C., & Radin, D. (2006). Of two minds: Sceptic–proponent collaboration within parapsychology. British Journal of Psychology, 313–322. https://doi.org/10.1348/000712605X80704
  5. Wiseman, R., & Schlitz, M. (1999). Experimenter Effects and the Remote Detection of Staring: An Attempted Replication. Proceedings of Presented Papers: The Parapsychological Association 42nd Annual Convention.
  6. Wiseman, R., & Schlitz, M. (1997). Experimenter Effects and the Remote Detection of Staring. Journal of Parapsychology, 61, 197–207.
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