Uploaded May 2020 | Updated September 2026, 4 days ago
When Pundits Fail, Psi Prevails: Using a Symbolic Hieronymus Machine to Accurately Predict Voting Outcomes in Battleground States During the 2016 U.S. Presidential Election
In 1949, Radionics pioneer, Thomas Hieronymus, was awarded a U.S. Patent for the detection of eloptic energy (EE) from “materials and volumes thereof.” This technology became the basis for his “Hieronymus Machine.” However, the device follows no currently accepted scientific or engineering paradigm. Starting in the 1950s, writer John Campbell claimed that the device functioned using the operator’s psi and could still produce an output even if the electronics were replaced by a schematic of the internal circuit. This non-electronic device is known as a Symbolic Hieronymus Machine (SHM). In the current exploratory study, a SHM was used to predict voting results in six “Battle Ground” states (states whose voting outcomes could not be predicted using traditional means) during the 2016 U.S. Presidential Election. A randomized, blinded protocol was used to establish two baseline EE Rates: one for historically “Blue” and another for historically “Red” voting states. Next, using the same protocol, EE Rates were established for each of the six target states while the operator asked to be shown the state’s future election out come. The resulting EE Rates were mapped to the Blue and Red baseline rates to create outcome predictions for each target. This method accurately predicted the outcomes in five of the six states. In comparison, only two states were accurately predicted using the same protocol with a truly random source substituted for the SHM. While still exploratory, this project demonstrates a potential methodology to evaluate event prediction using the SHM and similar devices.
Bio: Mark Boccuzzi is a co-founder and researcher at the Windbridge Institute, LLC, and the executive director of the Windbridge Research Center, an Arizona nonprofit dedicated to performing rigorous scientific research and creating educational materials focused on dying, death, and what comes next. He is also the managing editor of the free, open-access, peer-reviewed journal Threshold: Journal of Interdisciplinary Consciousness Studies. His main research interests include applied psi, machine learning, virtual/ augmented reality, transformative technologies, mindfulness, and instrumental transcommunication (ITC). A free copy of his book, Visualizing Intention: Art Informed by Science can be downloaded from WindbridgeInstitute.com/vibook
Recorded at the Society for Scientific Exploration Conference in Las Vegas, Nevada 2018.
Special thanks to our Patreon Explorers for providing the support we need to keep our video content freely available online: Dr. CMC Toporow, Kathleen Erickson, Mark Crewson, Mark Urban-Lurain, Roger Nelson, Gene Thomas, and Sandy Wiener.
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When Pundits Fail, Psi Prevails: Using a Symbolic Hieronymus Machine to Accurately Predict Voting Outcomes in Battleground States During the 2016 U.S. Presidential Election
In 1949, Radionics pioneer, Thomas Hieronymus, was awarded a U.S. Patent for the detection of eloptic energy (EE) from “materials and volumes thereof.” This technology became the basis for his “Hieronymus Machine.” However, the device follows no currently accepted scientific or engineering paradigm. Starting in the 1950s, writer John Campbell claimed that the device functioned using the operator’s psi and could still produce an output even if the electronics were replaced by a schematic of the internal circuit. This non-electronic device is known as a Symbolic Hieronymus Machine (SHM). In the current exploratory study, a SHM was used to predict voting results in six “Battle Ground” states (states whose voting outcomes could not be predicted using traditional means) during the 2016 U.S. Presidential Election. A randomized, blinded protocol was used to establish two baseline EE Rates: one for historically “Blue” and another for historically “Red” voting states. Next, using the same protocol, EE Rates were established for each of the six target states while the operator asked to be shown the state’s future election out come. The resulting EE Rates were mapped to the Blue and Red baseline rates to create outcome predictions for each target. This method accurately predicted the outcomes in five of the six states. In comparison, only two states were accurately predicted using the same protocol with a truly random source substituted for the SHM. While still exploratory, this project demonstrates a potential methodology to evaluate event prediction using the SHM and similar devices.
Bio: Mark Boccuzzi is a co-founder and researcher at the Windbridge Institute, LLC, and the executive director of the Windbridge Research Center, an Arizona nonprofit dedicated to performing rigorous scientific research and creating educational materials focused on dying, death, and what comes next. He is also the managing editor of the free, open-access, peer-reviewed journal Threshold: Journal of Interdisciplinary Consciousness Studies. His main research interests include applied psi, machine learning, virtual/ augmented reality, transformative technologies, mindfulness, and instrumental transcommunication (ITC). A free copy of his book, Visualizing Intention: Art Informed by Science can be downloaded from WindbridgeInstitute.com/vibook
Recorded at the Society for Scientific Exploration Conference in Las Vegas, Nevada 2018.
Special thanks to our Patreon Explorers for providing the support we need to keep our video content freely available online: Dr. CMC Toporow, Kathleen Erickson, Mark Crewson, Mark Urban-Lurain, Roger Nelson, Gene Thomas, and Sandy Wiener.
Want to support our commitment to open access scientific research? Become a patron yourself: patreon.com/user?u=23234339
Or take your support of our 501(c)(3) nonprofit even further by becoming an SSE member: 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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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?](https://i.ytimg.com/vi/Kaz8RrIufMY/mqdefault.jpg)








![Daniel P. Sheehan | Its About Time
The phenomenon of time is one of the most familiar yet one of the most perplexing aspects of our existence. Questions surrounding it are legion and it now appears ripe for scientific revolution and redefinition. Perhaps its most vexing feature is that, whereas the central equations of physics are time-symmetric (that is, they admit both time-forward and time-reversed solutions), our everyday experience is time-asymmetric, unidirectionally toward the future [1-3].
The various forms of precognition (e.g., presentiment, premonition) stand as counter-examples to this temporal unidirectionality. Although there is no consensus scientific explanation for it, precognition likely does not involve new physics; rather it requires that currently accepted physics be interpreted in a more forthright manner.
In this talk, I will introduce the rudiments of times symmetry and asymmetry, then propose an explanation for precognition in terms of currently-accepted physics. New research directions will be suggested, including non-biologic systems that might demonstrate this phenomenon. Potential scientific, cultural and commercial ramifications will be discussed.
1) Sheehan, D.P. (Editor), Frontiers of Time: Retrocausation - Experiment and Theory, AIP Conference Volume 863, (AIP Press, Melville, NY, 2006).
2) Sheehan, D.P. (Editor), Quantum Retrocausation: Theory and Experiment, AIP Conference Volume 1408 (American Institute of Physics, Melville, NY, 2011).
3) Sheehan, D.P. (Editor), Quantum Retrocausation III, AIP Conference Volume 1841 (American Institute of Physics, Melville, NY, 2017).
Bio: Daniel Sheehan is a Professor of Physics at the University of San Diego. His interests include experimental plasma physics, the foundations of thermodynamics, planetary formation, nanotechnology, and the physics of time.
Recorded at the Society for Scientific Exploration Conference in Broomfield, Colorado 2019.
Special thanks to our Patreon Explorers for providing the support we need to keep our video content freely available online: Dr. CMC Toporow, Kathleen Erickson, Mark Crewson, Mark Urban-Lurain, Roger Nelson, Gene Thomas, and Sandy Wiener.
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Or take your support of our 501(c)(3) nonprofit even further by becoming an SSE member: http://www.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. Daniel P. Sheehan | Its About Time](https://i.ytimg.com/vi/Lun9-YUKgNI/mqdefault.jpg)