Uploaded July 2023 | Updated September 2026, 6 hours ago
Introduction: This pilot study was undertaken to prepare for a postgraduate project on human physiology, psychology, non-local consciousness and interconnectedness during states of meditation and yoga compared with normal activities.
The Princeton Engineering Anomalies Research (PEAR) lab over many years has shown that consciousness is non-local and can influence external physical processes. Thus, we can now research the human relevance of that knowledge in much greater detail using their technology in mainstream psychological, physiological and sociological experiments.
Where this pilot study departs from the usual type of cognitive neuroscience studies is by simultaneously making physiological measurements with an app, recording the conscious experiences of the psychologically profiled participants, and running a Random Event Generator to observe the effects of both the participants and experimenter. Overall, this study initiates a path to answer the following questions:
1) Do physiological measurements correlate with psychological experiences such as meditation, and with psychological profiles?
2) Are there correlations between these and non-local consciousness?
3) Are there any indications of non-local connections between participants and experimenter? If so, what implications would this have for the future conduct of scientific research?
Methods: This study included the following methods.
Psychological profiling: Six participants filled in the Beliefs About Consciousness and Reality Questionnaire of Baruss and Moore, and the Psychological Wellbeing Scale of Carol Ryff. After sessions, they described their experiences of being a participant.
Meditative practices: Two types of meditation were compared: a breath focused meditation and a body-focused yoga. Both these modalities emphasize whole-body conscious presence. The 6 participants did 3 baseline, 3 meditation and 3 yoga sessions of 10 minutes each.
Physiological measurement: An iPhone app, Welltory, was used to measure heart rate variability (HRV) etc. before and after all sessions. It also provided the balance of parasympathetic and sympathetic nervous activity, stress and coherence of heart, lungs and nervous system.
REG: A Psyleron Random Event Generator was used in “FieldREG” mode for the duration of every 10-minute session.
Analysis: Data were tested for correlations between type of meditation, physiological measures and psychological wellbeing scores.
REG: Output data is still in the process of being statistically analyzed in relation to the other data types.
Interim Results:
Psychological: Participants all fell into the Extraordinary Transcendentalist category of Baruss and Moore, and all displayed moderate to high levels of psychological wellbeing (Ryff). Participants reported improved psychological states after meditation.
Physiological: Some physiological factors of HRV were significantly correlated with meditation compared with baselines. HRV clearly improved which implies health benefits. The difference was less obvious with yoga.
REG: An early indication is that there are two broad types of conscious experience that produce notable deviations from baseline in the FieldREG trace.
Discussion: The results of this pilot study have confirmed previous research regarding the physiological wellbeing resulting from meditation. Further, there were positive correlations between the participants’ levels of perceived wellbeing and heart rate variability parameters. The results extend and complement the research of others who are using the REG strategy for measuring the physiology of meditation. For example, it appears that the strong deviations produced by emotional states, i.e., stimulation or suppression, contrast with minimal deviations during the detached state of meditation. However, the statistical analysis still needs to be completed.
During sessions, it was frequently noted that conscious shifts in the experimenter affected the REG. There were also some striking examples of the experimenter and the participant having a similar psychological experience at the same time that produced a marked reaction in the REG. Could this indicate a shared conscious experience?
These effects may challenge or at least extend some of the methodological assumptions of REG experiments and open up the possibility of including interpersonal, non-local connectedness between participants and experimenters by using the tools of ‘parapsychologists’ in future conventional consciousness research.
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Introduction: This pilot study was undertaken to prepare for a postgraduate project on human physiology, psychology, non-local consciousness and interconnectedness during states of meditation and yoga compared with normal activities.
The Princeton Engineering Anomalies Research (PEAR) lab over many years has shown that consciousness is non-local and can influence external physical processes. Thus, we can now research the human relevance of that knowledge in much greater detail using their technology in mainstream psychological, physiological and sociological experiments.
Where this pilot study departs from the usual type of cognitive neuroscience studies is by simultaneously making physiological measurements with an app, recording the conscious experiences of the psychologically profiled participants, and running a Random Event Generator to observe the effects of both the participants and experimenter. Overall, this study initiates a path to answer the following questions:
1) Do physiological measurements correlate with psychological experiences such as meditation, and with psychological profiles?
2) Are there correlations between these and non-local consciousness?
3) Are there any indications of non-local connections between participants and experimenter? If so, what implications would this have for the future conduct of scientific research?
Methods: This study included the following methods.
Psychological profiling: Six participants filled in the Beliefs About Consciousness and Reality Questionnaire of Baruss and Moore, and the Psychological Wellbeing Scale of Carol Ryff. After sessions, they described their experiences of being a participant.
Meditative practices: Two types of meditation were compared: a breath focused meditation and a body-focused yoga. Both these modalities emphasize whole-body conscious presence. The 6 participants did 3 baseline, 3 meditation and 3 yoga sessions of 10 minutes each.
Physiological measurement: An iPhone app, Welltory, was used to measure heart rate variability (HRV) etc. before and after all sessions. It also provided the balance of parasympathetic and sympathetic nervous activity, stress and coherence of heart, lungs and nervous system.
REG: A Psyleron Random Event Generator was used in “FieldREG” mode for the duration of every 10-minute session.
Analysis: Data were tested for correlations between type of meditation, physiological measures and psychological wellbeing scores.
REG: Output data is still in the process of being statistically analyzed in relation to the other data types.
Interim Results:
Psychological: Participants all fell into the Extraordinary Transcendentalist category of Baruss and Moore, and all displayed moderate to high levels of psychological wellbeing (Ryff). Participants reported improved psychological states after meditation.
Physiological: Some physiological factors of HRV were significantly correlated with meditation compared with baselines. HRV clearly improved which implies health benefits. The difference was less obvious with yoga.
REG: An early indication is that there are two broad types of conscious experience that produce notable deviations from baseline in the FieldREG trace.
Discussion: The results of this pilot study have confirmed previous research regarding the physiological wellbeing resulting from meditation. Further, there were positive correlations between the participants’ levels of perceived wellbeing and heart rate variability parameters. The results extend and complement the research of others who are using the REG strategy for measuring the physiology of meditation. For example, it appears that the strong deviations produced by emotional states, i.e., stimulation or suppression, contrast with minimal deviations during the detached state of meditation. However, the statistical analysis still needs to be completed.
During sessions, it was frequently noted that conscious shifts in the experimenter affected the REG. There were also some striking examples of the experimenter and the participant having a similar psychological experience at the same time that produced a marked reaction in the REG. Could this indicate a shared conscious experience?
These effects may challenge or at least extend some of the methodological assumptions of REG experiments and open up the possibility of including interpersonal, non-local connectedness between participants and experimenters by using the tools of ‘parapsychologists’ in future conventional consciousness research.
---
Join the SSE to support to support the Society’s commitment to maintain an open professional forum for researchers at the edge of conventional science: scientificexploration.org/join
The SSE provides a forum for original research into cutting edge and unconventional areas. Views and opinions belong only to the speakers, and are not necessarily endorsed by the SSE.










![Consciousness, Sentiment and Stock Market Returns: Can the GCP Data be Put to Practical Use?
Consciousness, Sentiment and Stock Market Returns: Can the GCP Data be Put to Practical Use?
Ulf Holmberg
The Standard & Poors 500 Volatility Index (VIX), a common measure of market sentiment, is found to be significantly correlated with the hardware-generated random numbers produced by the Global Consciousness Project (GCP). More specifically, the largest daily composite GCP data value (Max[Z]) as well as changes in it and its variance is found to significantly interact with changes in the VIX measure. The results suggest that the GCP data can help in explaining market sentiment and that daily market movements can be better understood by studying the GCP data. The results point towards that the GCP data can be put to practical use by traders, which is investigated in an out-of-sample simulation study. By fitting econometric models that either utilize or ignore the GCP data on daily S&P 500 returns, model-dependent investment rules can be established such that the validity and usefulness of the GCP data can be studied. To this end, an out-of-sample simulation study began on the 1st of August 2022 and is scheduled to end on the 1st of August 2023. The result from the study currently suggests that the GCP data indeed can be used to improve daily forecasts such that the GCP data can be used in practice by e.g., traders. Both the philosophical and practical implications of these results are self-evident.
Bio: Dr. Holmberg is an independent researcher. He holds a Ph.D. in Economics and has, in his research, shown that the GCP data covaries with several social science variables. He has also shown that the GCP data covaries with both global stock market returns and global internet search trends and is currently investigating how the GCP data can be put to practical use. He works and lives in Stockholm, Sweden.
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