Category: parapsychology

Hypnosis: What Can it Do? Jeremy Vaeni as…

Hypnosis: What Can it Do?

Jeremy Vaeni asks longtime professional hypnotist James Hazlerig just what it can and can’t do, when it’s helpful and when it’s not.

marylandparanormal: Random Event Generator (R…

marylandparanormal:

Random Event Generator (REG) Outcomes at Historic Shepherdstown and Museum Ghost Expedition 2018: Evidence of a Consciousness Bridge and Decline Effect?

Graphical display of Random Event Generator (REG) experiment results captured by Maryland Paranormal Research ® at Historic Shepherdstown and Museum

Random Event Generators (REGs) are statistical devices commonly employed in parapsychology to test mind-matter interactions, specifically microscopic psychokinesis (micro-pk) activity.

  • REGs generate a random walk from a sequence of 200-bit trials per second of binary [0,1] events. [The device flips a coin 200 times per second.]
  • The bits are generated by random or unpredictable fluctuations in voltages as electrons tunnel through a barrier in a diode.  High and low voltage samples are converted into 1 and 0 bits
  • The expected average from 200-bit trials having 0 or 1 outcomes is 100. Actual averages will be higher (or lower) than 100.  The difference between an actual and the expected average is termed an “error”
  • A simple random walk is obtained by cumulating the errors (or normalized errors) from each series of bit trials. For some purposes, e.g. “goodness of fit” statistics, it is convenient to compute the cumulative error squared
  • REGs also display a parabolic boundary at the 95% confidence level.  Hence random walks have a 1 in 20 chance of ending outside parabola bounds

At Princeton University, REGs were used to study global consciousness fields as part of the Princeton Engineering Anomalies Research (PEAR) program spanning nearly three decades.  This global network of REGs is now managed by the Global Consciousness Project (GCP).

The Historic Shepherdstown and Museum Ghost Expedition 2018 REG experiment ran continuously over two epochs spanning several hours inclusive of direct radio voice (DRV) communication sessions.  

  • The first epoch commenced 7:43 pm on Aug 11 2018 and lasted approximately 4.5 hours and the tend appears to reach a turning point around 12:15 am. The REG experiment exhibited random walk trending that was mostly above baseline levels.  Overall the REG experiment delivered a medium Z score (0.962) that was statistically significant at the 17% level (in a one tailed test), suggesting higher than chance levels of psi functioning
  • The second epoch commenced 12:27 am on Aug 12 2018 and lasted approximately 2 hours. The REG experiment exhibited random walk trending that was mostly below baseline levels.  Overall the REG experiment delivered a medium Z score (-0.997) that was statistically significant at the 16% level (in a one tailed test), also possibly suggesting higher than chance levels of psi functioning
  • But was that really the case?  The runs appear to be symmetric (mirror images) with respect to the baseline.  However, the change in direction might be a consequence of declining levels of group participation and engagement.  The maximum number of participants in the communication sessions peaked during the 11pm – 12am time frame. Apart from the investigation team, most visiting participants had departed before 1 am 
  • The experiments suggest the importance of the underlying engagement in interpreting REG outcomes.  The significant down trending in the second epoch could have been due to a “decline effect” in psi functioning as engagement gradually tapered off
  • This is not a decline effect in the traditional parapsychological sense of a lowering in effect sizes, but moreso a decline in psi functioning arising from lower engagement

These outcomes lend support for indications of implicit psi during the

Historic Shepherdstown and Museum Ghost Expedition 2018.  They appear consistent with REG experiments elsewhere.  A similar type of decline effect may have appeared in the Lexington Market Ghost Expedition in 2017.  The psi functioning is implicit, working on subliminal or unconscious levels. The conscious focus of participants is on the engagement itself

  • It is not possible to precisely know the sources of psi functioning (or field effects) on the REG, whether it is from post-mortem or living agencies (e.g. experiment participants and/or experimenters themselves).
  • REG results in isolation can’t provide evidence of a haunting. A haunting involves recurring activity experienced in varied physical forms seemingly sourced to post-mortem agencies, appearing to have an affinity for a location or parts of a location
  • Instead REG results may be conservatively interpreted as a consciousness effect that at least bears some relation to efforts to communicate with post-mortem agencies, the attention and focus given to that communication, and perhaps from the communications themselves
  • The outcomes seen here are not unlike those encountered when REGs are positioned near sporting or concert events, where implicit psi from crowd engagement and attention appears to drive REG trending

The direction of bit scoring or trending in REGs is not fully understood and requires continuing experimentation  

  • Various studies suggest it may be correlated with: goal orientation or intention; emotional states; the (psychological) valence of events; the extent of attention and focus; and innate psi ability
  • In linguistics and the semantic framing around graphs, “up” is considered “good” and “down” is considered “bad.“  This kind of meaning, while natural, may not fit all circumstances affecting above or below baseline REG trending
  • If sustained REG downtrends were a signature for post-mortem agency (ghosts), this would imply that low-voltage sampling/scoring is somehow easier for this form of agency.  However that is an unknown

  • Until more is known, the statistical significance of a trend perhaps matters more than its direction

The last image is an example of lens flare in infrared light.  The camera is pointed directly at a light source, which in this case is the Microsoft Windows Kinect Structured Light System (SLS).  The SLS emits a grid of infrared laser light, which is also reflecting off the surface of the lens, generating the elliptical shapes

REFERENCES:

Comparison of Random Event Generator (REG) Outcomes In Sequential Paranormal Investigations of Haunted Locations. (2016, Jun 4). Maryland Paranormal Research ®

Maryland Paranormal Research ®. (2017, Oct 8). Ghost Expedition Lexington Market Underground.  Maryland Paranormal Research ®

Nelson, R. (1998). The Global Consciousness Project: How the Measurement Works. Global Mind.

Princeton Engineering Anomalies Research. (2010).  Scientific Study of Consciousness-Related Physical Phenomena. Princeton University School of Engineering and Applied Science.

Psyleron Inc., (2008). Random Event Generators: What is a Random Event Generator?  Psyleron Inc., Consciousness Technologies and Research.

Random Event Generator (REG) Outcomes in Baltimore County/Dundalk Historic District Ghost Expedition: Support for a Consciousness Bridge? (2017, Oct 5). Maryland Paranormal Research ®

Random Event Generator (REG) Outcomes in Frederick County/Brunswick Heritage Museum Ghost Expedition 2017: Evidence of Psi Functioning? (2017, Oct 20). Maryland Paranormal Research ®

IMAGES:

Maryland Paranormal Research ®. (2018, Aug 11).

Historic Shepherdstown and Museum: Random Event Generator Experiment at 1943 EST on Aug 11 2018. ©  Maryland Paranormal Research ®. All rights reserved.

Maryland Paranormal Research ®. (2018, Aug 12).

Historic Shepherdstown and Museum: Random Event Generator Experiment at 0027 EST on Aug 12 2018. ©  Maryland Paranormal Research ®. All rights reserved.

Maryland Paranormal Research ®. (2018, Aug 11).

Historic Shepherdstown and Museum: Underground Vault. ©  Maryland Paranormal Research ®. All rights reserved. 

The Practical Psychic Self Defense Handbook:…

The Practical Psychic Self Defense Handbook: A Survival Guide Paperback – February 1, 2011

by Robert Bruce (Author)

Is everything that goes on in your mind really you? Perhaps not, says Australian psychic researcher Robert Bruce. Drawing on more than two decades of firsthand research and experience, Bruce reports that our minds are subject to influences from many unseen spiritual sources. Some of these can influence how we think, feel, act, and even how our bodies function. They can make us unhappy, irritable, confused, sick, unstable, even crazy. This is why we need practical tools and countermeasures for psychic self-defense, all of which Bruce provides.

This is the ultimate guide to combating the influences of earthbound spirits, deranged ghosts, astral snakes and spiders, demonic spirits, and poltergeists. This is a highly anecdotal and comprehensive practical guide to the dark side of the psychic universe.

https://www.amazon.com/Practical-Psychic-Self-Defense-Handbook/dp/1571746390/ref=sr_1_1?ie=UTF8&qid=1540775342&sr=8-1&keywords=the+practical+psychic+self+defense+handbook

marylandparanormal: Apparitional Experiences:…

marylandparanormal:

Apparitional Experiences: A Primer on Parapsychological Research and Perspectives

BRYAN WILLIAMS, ANNALISA VENTOLA, & MIKE WILSON

Primer from Public Parapsychology covering characteristics of apparitions, experimental approaches, theories and perspectives, and percipients. Compiled from published case literature spanning from the late 19th century to the present decade.

SOURCE: Apparitional Experiences: A Primer on Parapsychological Research and Perspectives, [public parapsychology], 2010

IMAGE:  Apparation Dame Blanche au Chevet d’un Mourrant, Labeauce et Minne, La Lecture Journal de Roman N°121, 1857, Wikipedia

Mitchell Rabin Interviews Neuro-Scientist Juli…

Mitchell Rabin Interviews Neuro-Scientist Julia Mossbridge on Parapsychology & Pre-cognition – A Better World: undefined

Random Event Generator (REG) Outcomes at Historic Shepherdstown…

Random Event Generator (REG) Outcomes at Historic Shepherdstown and Museum Ghost Expedition 2018: Evidence of a Consciousness Bridge and a Decline Effect?

Graphical display of Random Event Generator (REG) experiment results captured by Maryland Paranormal Research ® at Historic Shepherdstown and Museum

Random Event Generators (REGs) are statistical devices commonly employed in parapsychology to test mind-matter interactions, specifically microscopic psychokinesis (micro-pk) activity.

  • REGs generate a random walk from a sequence of 200-bit trials per second of binary [0,1] events. [The device flips a coin 200 times per second.]
  • A simple random walk is obtained by cumulating the errors (or normalized errors) from each run. For some purposes, it is convenient to compute the cumulative error squared
  • REGs also display a parabolic boundary at the 95% confidence level.  Hence random walks have a 1 in 20 chance of ending outside parabola bounds

At Princeton University, REGs were used to study global consciousness fields as part of the Princeton Engineering Anomalies Research (PEAR) program spanning nearly three decades.  This global network of REGs is now managed by the Global Consciousness Project (GCP).

The Historic Shepherdstown and Museum Ghost Expedition 2018 REG experiment ran continuously over two epochs spanning several hours inclusive of direct radio voice (DRV) communication sessions.  

  • The first epoch commenced 7.43 pm on Aug 11 2018 and lasted approximately 4.5 hours. The REG experiment exhibited random walk trending that was mostly above baseline levels.  Overall the REG experiment delivered a medium Z score (0.962) that was statistically significant at the 17% level (in a one tailed test), suggesting higher than chance levels of psi functioning
  • The second epoch commenced 12.27 am on Aug 12 2018 and lasted approximately 2 hours. The REG experiment exhibited random walk trending that was mostly below baseline levels.  Overall the REG experiment delivered a medium Z score (-0.997) that was statistically significant at the 16% level (in a one tailed test), also possibly suggesting higher than chance levels of psi functioning
  • But was that really the case?  The runs appear to be symmetric (mirror images) with respect to the baseline.  However, the difference in valence (direction) might be attributed to declining levels of group participation and engagement.  The maximum number of participants in the communication sessions peaked during the 11pm – 12am time frame. Apart from the investigation team, most visiting participants had departed by 1 am 
  • The experiments suggest it is important to know the underlying dynamics of group engagement in interpreting REG outcomes.  The significant down trending in the second epoch could have been due to a “decline effect” in psi functioning as engagement gradually dwindled down.  This is not a decline effect in the traditional parapsychological sense of a lowering in effect sizes, but moreso a decline in psi functioning arising from lower engagement

These outcomes lend support for indications of implicit psi during the

Historic Shepherdstown and Museum Ghost Expedition 2018.  They appear consistent with REG experiments elsewhere.  A similar type of decline effect may have appeared in the Lexington Market Ghost Expedition in 2017.  The psi functioning is implicit, working on subliminal or unconscious levels. The conscious focus of participants is on the engagement itself

  • It is not possible to precisely know the sources of psi functioning (or field effects) on the REG, whether it is from post-mortem or living agencies (e.g. experiment participants and/or experimenters themselves).
  • REG results in isolation can’t provide evidence of a haunting. A haunting involves recurring activity experienced in varied physical forms seemingly sourced to post-mortem agencies, appearing to have an affinity for a location or parts of a location
  • Instead REG results may be conservatively interpreted as a consciousness bridge that at least bears close relation to efforts to communicate with post-mortem agencies, the attention given to that communication, and perhaps from the communications themselves
  • The outcomes seen here are not unlike those encountered when REGs are positioned near sporting events, where implicit psi from crowd engagement and attention appears to drive REG trending

The last image is an example of lens flare in infrared light.  The camera is pointed directly at a light source, which in this case is the Microsoft Windows Kinect Structured Light System (SLS).  The SLS emits a grid of infrared laser light, which is also reflecting off the surface of the lens, generating the elliptical shapes

REFERENCES:

Comparison of Random Event Generator (REG) Outcomes In Sequential Paranormal Investigations of Haunted Locations. (2016, Jun 4). Maryland Paranormal Research ®

Maryland Paranormal Research ®. (2017, Oct 8). Ghost Expedition Lexington Market Underground.  Maryland Paranormal Research ®

Nelson, R. (1998). The Global Consciousness Project: How the Measurement Works. Global Mind.

Princeton Engineering Anomalies Research. (2010).  Scientific Study of Consciousness-Related Physical Phenomena. Princeton University School of Engineering and Applied Science.

Psyleron Inc., (2008). Random Event Generators: What is a Random Event Generator?  Psyleron Inc., Consciousness Technologies and Research.

Random Event Generator (REG) Outcomes in Baltimore County/Dundalk Historic District Ghost Expedition: Support for a Consciousness Bridge? (2017, Oct 5). Maryland Paranormal Research ®

Random Event Generator (REG) Outcomes in Frederick County/Brunswick Heritage Museum Ghost Expedition 2017: Evidence of Psi Functioning? (2017, Oct 20). Maryland Paranormal Research ®

IMAGES:

Maryland Paranormal Research ®. (2018, Aug 11).

Historic Shepherdstown and Museum: Random Event Generator Experiment at 1943 EST on Aug 11 2018. ©  Maryland Paranormal Research ®. All rights reserved.

Maryland Paranormal Research ®. (2018, Aug 12).

Historic Shepherdstown and Museum: Random Event Generator Experiment at 0027 EST on Aug 12 2018. ©  Maryland Paranormal Research ®. All rights reserved.

Maryland Paranormal Research ®. (2018, Aug 11).

Historic Shepherdstown and Museum: Underground Vault. ©  Maryland Paranormal Research ®. All rights reserved. 

marylandparanormal: Exploring Nursing Ghost S…

marylandparanormal:

Exploring Nursing Ghost Stories through Machine Learning: Topic Discovery with Latent Dirichlet Allocation

NOTE: Click to open graphics for an expanded and clearer view of the findings they contain  

As reported in earlier posts, the Allnurses.com web site hosts a long-running moderated discussion thread called “Nursing Ghost Stories” (NGS).  The NGS collection spans over a decade (2005-2017) amounting to 199 pages as of the time of this writing.  As a dataset NGS contains multiple first and second hand accounts and commentary on paranormal type experiences 

The archive contains classic examples of ghosts and hauntings phenomena.  Patients were generally the percipients in ghost experiences.   Sometimes the ghosts in question appeared to be former nurses in period dress, or former doctors and patients, or former area residents.  However, these kinds of paranormal experiences did not dominate the collection  

In actuality, the NGS archive conveys several varieties of psi and post-mortem survival phenomena.  The archive contains several examples of extrasensory perception and presentiment in particular  

There were also examples of after-death communication (ADC), which are sensed-presence or apparitional experiences involving deceased family members or friends.  Unlike hauntings which are place-centered, ADC encounters are person-centered involving meaningful coincidences (or synchronicities) for the percipients.  ADC encounters are more common among widows and widowers, but are not exclusive to them

The archive contains several reports of near-death experiences (NDEs). However, the more representative encounters involved nearing death awareness (NDA) type experiences.  In NDA situations, terminally-ill patients experiencing death-bed visions will have perceptions of welcoming apparitions of deceased relatives or loved ones

  • Terminal patients will also appear to hold conversations with persons who are not physically present in their room.  Sometimes nurses described these aspects of NDA experiences as dementia
  • It is also not uncommon for gravely-ill patients to be alert and conversant in their final hours before death, a phenomenon called “terminal lucidity”

Provided below are examples of exchanges regarding NDA situations as characterized by nurses working in long-term care and palliative care settings 

I’ve been a hospice nurse for 5 years. I have been with hundreds of people at the time of their death & I can tell you first hand that if the patient is alert enough to speak, you’ll hear them talking to loved ones that have already passed over

That is so true. I, too am a hospice nurse and when pts. start talking to their dead relatives, you know that they have about a week MAX before they are gone

From experience I’ve learned that when a pt tells you they’re going to die…they usually do…and if they start talking to dead family members…they usually die…it’s like the family members have come to take them…..

As a follow-on to the earlier wordcloud project, we wondered whether unsupervised machine learning, specifically topic generation models, could discover the abovementioned themes in the NGS archive 

  • Generative topic models

    view documents as having a latent semantic structure of topics that can be inferred from co-occurrences of words in documents  

  • For this project, the Latent Dirichlet Allocation (LDA) topic model was employed.  LDA views documents as probability distributions over topics and topics as probability distributions over words
  • All documents share the same collection of topics, but each document contains those topics in different proportions.  The LDA algorithm samples words across topics until it arrives at topics and word selections that most likely generated the documents

Various packages and libraries for natural language processing within Python were used to include: the Natural Language ToolKit (NLTK) for processing the data set; scikit-learn to prepare and fit the LDA model; pyLDAvis to display the results and t-Distributed Stochastic Neighbor Embedding (t-SNE) to map topic distances

The project pipeline involved: data set processing; conversion of words and documents into a document-term matrix and vector space; fitting the LDA models; and displaying the results

Processing. The data set was decomposed into 199 documents from its constituent web pages.  In contrast to the wordcloud project, the set of stopwords was enlarged to find meaningful insights in the NGS archive

  • The core set of stopwords consisted of commonly-used prepositions, conjunctions, and contractions.  Stopwords from the wordcloud application were used as a start point for this purpose
  • Since the archive consisted of first or second hand accounts, words related to stories and/or storytelling were added to stopwords, along with words related to the maintenance of the thread
  • Since spontaneous experiences can occur at any moment, words conveying times were removed.  While many experiences were singular events, numeric references involving cardinal (e.g. one, two) and ordinal (e.g. first, second) rankings were removed
  • Titles of persons were removed (e.g. Mr., Mrs., etc.); however, person and gender types (e.g. man, woman, etc.) and interpersonal relationships (e.g. family, friends, or strangers) were preserved
  • Domain-related words relating to patient care or standard procedures were removed (e.g. hospital, unit, shift, staff, work, station, monitor, code)

Conversion. Vector transformations converted the data set into a document-term matrix for mathematical processing.  The rows of the matrix correspond to documents with columns corresponding to the frequency of a term

  • Count vectorizers count word frequencies.  Term Frequency-Inverse Document Frequency (TF-IDF) vectorizers normalize (divide) word counts by their frequency in the documents
  • Both vectorizers converted words to lower case and removed non-word expressions. The vectorizers were parameterized to look for bigrams (or words that were often used together) 

Model Fit/Display. The LDA model was fitted using ten topics.  Words within topics were sorted and ranked with respect to their frequency in and relevance within a topic

  • The LDA model used Count and TF-IDF vectorization and ran with a maximum of 100 iterations.  LDA model results were displayed using pyLDAvis and t-SNE to map topic distances

Results. Although topics produced from the model are unlabeled, words within topics usually can be woven into a coherent theme

The first four pyLDAvis graphs provide the top 30 words and bigrams in Topics 1 through 4 using Count vectorization  

  • Topic 1 is the most representative of the body of stories in the thread and generated around 86% of the content.  Words in Topic 1 included: “nurse” and “patient”; both nurses and patients were percipients and sometimes sources of “ghost” experiences.  If apparitions represented unrecognized persons, patients had “asked” whom they “saw.”  Many apparitional encounters involved patients who were

    “heard” “talking” to deceased “family” members or a “friend.”

      These telepathic types of apparitions were often described as “sitting” near the bedsides of patients, or transiting their rooms or into an adjacent “hall” on their “floor.”  Overall, this could be considered an apparitional experiences topic

  • Topic 2 is derived from user commentary and seems reflective of internal varieties of psi functioning. Words in Topic 2 included: 

    “dreams”, “feel(ings)” and a “sense” of awareness or presentiment of events that were happening or about to “happen”, usually in connection with the deaths of family members. In other cases the dreams were possible telepathic connections with lost “loved” ones. Overall, this can be considered a extrasensory perception topic and it generated 7% of the content  

  • Topic 3 appears reflective of external forms of psi and survival phenomena to include auditory and physical encounters commonly associated with hauntings and poltergeists.  Words in Topic 3 included: “haunted”, “voice(s)”, and other imitative sounds such as “music.”  There were also reported instances of anomalous telephone contact possibly involving “phone” calls from the dead and “strange” behaviors of televisions, call lights and other electrical appliances.  Overall, this could be considered a hauntings and poltergeists topic and it generated around 4% of the content 
  • Topic 4 is also derived from user commentary and seems reflective of general discussions on the paranormal, religious and exceptional experiences.  Discussions included: “paranormal” television, “movie” and “radio” entertainment;  synchronicities (meaningful coincidences) and

    “photo” and other evidence from paranormal investigations.  Discussions also involved ghost stories outside a nursing context; some were urban legends and a few were probably larks.  Overall, this could be considered a paranormal discussions topic and it generated around 3% of the content

The fifth pyLDAvis graph provides the top 30 words in Topic 1 using TF-IDF vectorization.  

  • The findings were close to those encountered for Topic 1 with the Count Vectorization.  However, it appears to be a combined apparitional experiences and extrasensory perception topic accounting for 94% of the content.

     This consolidation arises from the fact that TF-IDF vectorization lowers the contribution weight of commonly used words

This project again demonstrates the usefulness of topic generation models for finding meaningful patterns in masses of unlabeled or unstructured data.

  The LDA topic discovery method indicated several varieties of psi and survival experiences that went beyond ghost stories 

  • Many apparitional encounters described in the archive represented the union of nearing death awareness (involving death-bed visions of welcoming apparitions) and after-death communication experiences (involving apparitions of deceased family members and friends)
  • Even though the algorithm knows nothing intrinsically about the above experiences, the model was able to infer topics and words corresponding to the most representative kinds of encounters 

Greater insights could be gained by structuring the NGS dataset and labeling the experiential elements within it.  Follow-on research could employ semi-supervised methods to train models to classify types of psi and survival experiences and to find correlates within them  

Specifically, deep learning models could be trained on the semantics around typologies of apparitions with tagged documents.  Parapsychology categorizes apparitions along four lines: living agent; crisis; post-mortem; and haunting  

  • If an apparition is seen within ±12 hours of a person’s death, that represents a crisis apparition 
  • If an apparition is seen 24 hours or more after a person’s death, that apparition is post-mortem
  • If the apparition is of a long-deceased person and has a location affinity, that is a haunting apparition

Nonetheless, the apparitional experiences in NGS appear roughly consistent with survey results elsewhere.  Apparitional experiences rarely occur in the general population, but when they do, the apparitions are likely to represent recognized persons, known to the individuals who are perceiving them

REFERENCES

Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of machine Learning research, (Jan), 993-1022.

Gauld, A., & Cornell, A. D. (1979). Poltergeists. Routledge Kegan & Paul. Sponsored

Kircher, P. and Callanan, M. (2017, Dec 14).  NDEs and Nearing Death Awareness in the Terminally Ill. International Association for Near Death Studies (IANDS).

Natural Language Toolkit: NLTK 3.2.5 documentation. (2017, Sep 24). NLTK Project.

Pearson, P. (2014). Opening Heaven’s Door: What the Dying May be Trying to Tell Us about where They’re Going. Random House Canada. Sponsored

Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., … & Vanderplas, J. (2011). Scikit-learn: Machine learning in Python. Journal of machine learning research, 12(Oct), 2825-2830.

Sievert, C., & Shirley, K. (2014). LDAvis: A method for visualizing and interpreting topics. In Proceedings of the workshop on interactive language learning, visualization, and interfaces (pp. 63-70).

What’s Your Best Nursing Ghost Story? (2017, Oct 30). AllNurses.com

IMAGES

pyLDAvis Graph of Topic 1 (Count Vectorization) from Nursing Ghost Stories Corpus. (2018, Apr 08). © Maryland Paranormal Research ®.  All rights reserved.

pyLDAvis Graph of Topic 2 (Count Vectorization) from Nursing Ghost Stories Corpus. (2018, Apr 08). © Maryland Paranormal Research ®.  All rights reserved.

pyLDAvis Graph of Topic 3 (Count Vectorization) from Nursing Ghost Stories Corpus. (2018, Apr 08). © Maryland Paranormal Research ®.  All rights reserved.

pyLDAvis Graph of Topic 4 (Count Vectorization) from Nursing Ghost Stories Corpus. (2018, Apr 08). © Maryland Paranormal Research ®.  All rights reserved.

pyLDAvis Graph of Topic 1 (TF-IDF Vectorization) from Nursing Ghost Stories Corpus. (2018, Apr 08). © Maryland Paranormal Research ®.  All rights reserved.

blogparanormalexpresso2stuff: Art Bell EVP …

blogparanormalexpresso2stuff:

Art Bell EVP show (originally broadcast on 10/18/2003)

Published on 11 May 2015

*Ghost-ops.net does not own this audio; it was copied from the radio years ago. Enjoy. =)

Air Date: Saturday – October 18, 2003
Host: Art Bell (Coast-to-Coast AM)
Guests: Brendan Cook, Barbara McBeath

EVP: http://en.wikipedia.org/wiki/Electron…

Within ghost hunting and parapsychology, Electronic Voice Phenomena (EVP) are sounds found on electronic recordings that are interpreted as spirit voices that have been either unintentionally recorded or intentionally requested and recorded. Parapsychologist Konstantīns Raudive, who popularized the idea in the 1970s, described EVP as typically brief, usually the length of a word or short phrase.

Enthusiasts consider EVP to be a form of paranormal phenomena often found in recordings with static or other background noise, however, psychologists regard EVP as a form of auditory pareidolia (interpreting random sounds as voices in one’s own language) and a pseudoscience promulgated by popular culture. Prosaic explanations for EVP include apophenia (perceiving patterns in random information), equipment artifacts, and hoaxes.

Summary:
In a rebroadcast from 10/18/03, Brendan Cook & Barbara McBeath of the Ghost Investigators Society presented another selection of recorded ghost voices, known as Electronic Voice Phenomena (EVP).

Website(s):
ghostpix.com
http://www.coasttocoastam.com/show/20…

Biography:
Brendan Cook is the webmaster for the G.I.S. (Ghost Investigators Society) website and collaborates on events, stories, pictures and EVPs posted there. He has conducted presentations on behalf of the Society and been a spokesperson for the them on radio, TV and a USU documentary.

Barbara McBeath has independently researched and studied the spirit & ghost phenomena for over 40 years. She authored the G.I.S. (Ghost Investigators Society) Protocol and analyzes and collaborates on events, EVP’s, stories, pictures and videos for their website. She also has conducted lectures and presentations and has been a spokesperson on behalf of the Society in a USU documentary, and on TV and radio.

marylandparanormal: Random Event Generator (R…

marylandparanormal:

Random Event Generator (REG) Outcomes in Baltimore City/Lexington Market Underground Ghost Expedition 2017: Evidence of a Consciousness Bridge?

Graphical display of Random Event Generator (REG) experiment results captured by Maryland Paranormal Research ® at the Lexington Market Underground 

Random Event Generators (REGs) are statistical devices commonly employed in parapsychology to test mind-matter interactions, specifically microscopic psychokinesis (micro-pk) activity.

  • REGs generate a random walk from a sequence of 200-bit trials per second of binary [0,1] events. [The device flips a coin 200 times per second.]
  • A simple random walk is obtained by cumulating the errors (or normalized errors) from each run. For some purposes, it is convenient to compute the cumulative error squared
  • REGs also display a parabolic boundary at the 95% confidence level.  Hence random walks have a 1 in 20 chance of ending outside parabola bounds

At Princeton University, REGs were used to study global consciousness fields as part of the Princeton Engineering Anomalies Research (PEAR) program spanning nearly three decades.  This global network of REGs is now managed by the Global Consciousness Project (GCP).

The Lexington Market Underground Ghost Expedition 2017 REG experiment ran continuously for nearly four hours inclusive of audio and direct radio voice (DRV) communication sessions.  

  • The overall run commenced 3:21 pm and ended 7:19 pm on Oct 8, 2017. The REG experiment exhibited random walk trending that was almost entirely below baseline levels.  Overall the REG experiment delivered a medium Z score (-0.636) that was statistically significant at the 26% level (in a one tailed test), indicating on balance higher than chance levels of psi functioning
  • However, there was a outdoor festival type event that had occurred in the early evening hours adjacent to the Lexington Market Underground.  Communication efforts were ended due to the volume of external music and crowd noise and the echo-chamber acoustics in the underground.  Interestingly, the effects of disengagement may be seen in the apparent upward drift in REG trending toward baseline, which continued through the close of the expedition    
  • Before the festival event there had been sustained trending well below baseline for nearly a three hour period.  The lowest Z score (-2.430) during this interval  was statistically significant below the 1% level (in a one tailed test).  This would seem to indicate that psi-functioning was strongly beyond chance before the break-off in engagement

These outcomes lend support for indications of implicit psi during the Lexington Market Underground Ghost Expedition 2017.  They are consistent with REG results such as in the Dundalk and Brunswick ghost expeditions conducted subsequent to the Lexington Market Underground.

  • It is not possible to precisely know the sources of psi functioning (or field effects) on the REG, whether it is from post-mortem or living agencies (e.g. experiment participants and/or experimenters themselves).
  • REG results in isolation can’t provide evidence of a haunting. A haunting involves recurring activity experienced in varied physical forms seemingly sourced to post-mortem agencies, appearing to have an affinity for a location or parts of a location
  • Instead REG results may be conservatively interpreted as a consciousness bridge that at least bears close relation to efforts to communicate with post-mortem agencies, the attention given to that communication, and perhaps from the communications themselves
  • The outcomes seen here are not unlike those encountered when REGs are positioned near sporting events, where implicit psi from crowd engagement and attention appears to drive REG trending

REFERENCES:

Comparison of Random Event Generator (REG) Outcomes In Sequential Paranormal Investigations of Haunted Locations. (2016, Jun 4). Maryland Paranormal Research ®

Maryland Paranormal Research ®. (2017, Oct 8). Ghost Expedition Lexington Market Underground.  Maryland Paranormal Research ®

Nelson, R. (1998). The Global Consciousness Project: How the Measurement Works. Global Mind.

Princeton Engineering Anomalies Research. (2010).  Scientific Study of Consciousness-Related Physical Phenomena. Princeton University School of Engineering and Applied Science.

Psyleron Inc., (2008). Random Event Generators: What is a Random Event Generator?  Psyleron Inc., Consciousness Technologies and Research.

Random Event Generator (REG) Outcomes in Baltimore County/Dundalk Historic District Ghost Expedition: Support for a Consciousness Bridge? (2017, Oct 5). Maryland Paranormal Research ®

Random Event Generator (REG) Outcomes in Frederick County/Brunswick Heritage Museum Ghost Expedition 2017: Evidence of Psi Functioning? (2017, Oct 20). Maryland Paranormal Research ®

IMAGES:

Maryland Paranormal Research ®. (2017, Oct 8). Lexington Market Underground: Underground Vault. ©  Maryland Paranormal Research ®. All rights reserved.

Maryland Paranormal Research ®. (2017, Oct 8). Lexington Market Underground: Abandoned Restaurant. ©  Maryland Paranormal Research ®. All rights reserved.

Maryland Paranormal Research ®. (2017, Oct 8). Lexington Market Underground: Random Event Generator Experiment at 1521 EST on Oct 8 2017. ©  Maryland Paranormal Research ®. All rights reserved.

Random Event Generator (REG) Outcomes in Baltimore…

Random Event Generator (REG) Outcomes in Baltimore City/Lexington Market Underground Ghost Expedition 2017: Evidence of a Consciousness Bridge?

Graphical display of Random Event Generator (REG) experiment results captured by Maryland Paranormal Research ® at the Lexington Market Underground 

Random Event Generators (REGs) are statistical devices commonly employed in parapsychology to test mind-matter interactions, specifically microscopic psychokinesis (micro-pk) activity.

  • REGs generate a random walk from a sequence of 200-bit trials per second of binary [0,1] events. [The device flips a coin 200 times per second.]
  • A simple random walk is obtained by cumulating the errors (or normalized errors) from each run. For some purposes, it is convenient to compute the cumulative error squared
  • REGs also display a parabolic boundary at the 95% confidence level.  Hence random walks have a 1 in 20 chance of ending outside parabola bounds

At Princeton University, REGs were used to study global consciousness fields as part of the Princeton Engineering Anomalies Research (PEAR) program spanning nearly three decades.  This global network of REGs is now managed by the Global Consciousness Project (GCP).

The Lexington Market Underground Ghost Expedition 2017 REG experiment ran continuously for nearly four hours inclusive of audio and direct radio voice (DRV) communication sessions.  

  • The overall run commenced 3:21 pm and ended 7:19 pm on Oct 8, 2017. The REG experiment exhibited random walk trending that was almost entirely below baseline levels.  Overall the REG experiment delivered a medium Z score (-0.636) that was statistically significant at the 26% level (in a one tailed test), indicating on balance higher than chance levels of psi functioning
  • However, there was a outdoor festival type event that had occurred in the early evening hours adjacent to the Lexington Market Underground.  Communication efforts were ended due to the volume of external music and crowd noise and the echo-chamber acoustics in the underground.  Interestingly, the effects of disengagement may be seen in uptrending in the REG toward baseline continuing through the close of the expedition    
  • Before the festival event there had been sustained trending well below baseline for nearly a three hour period.  The lowest Z score (-2.430) during this interval  was statistically significant below the 1% level (in a one tailed test).  This would seem to indicate that psi-functioning was strongly beyond chance before the break-off in engagement

These outcomes lend support for indications of implicit psi during the Lexington Market Underground Ghost Expedition 2017.  They are consistent with REG results such as in the Dundalk and Brunswick ghost expeditions conducted subsequent to the Lexington Market Underground.

  • It is not possible to precisely know the sources of psi functioning (or field effects) on the REG, whether it is from post-mortem or living agencies (e.g. experiment participants and/or experimenters themselves).
  • REG results in isolation can’t provide evidence of a haunting. A haunting involves recurring activity experienced in varied physical forms seemingly sourced to post-mortem agencies, appearing to have an affinity for a location or parts of a location
  • Instead REG results may be conservatively interpreted as a consciousness bridge that at least bears close relation to efforts to communicate with post-mortem agencies, the attention given to that communication, and perhaps from the communications themselves
  • The outcomes seen here are not unlike those encountered when REGs are positioned near sporting events, where implicit psi from crowd engagement and attention appears to drive REG trending

REFERENCES:

Comparison of Random Event Generator (REG) Outcomes In Sequential Paranormal Investigations of Haunted Locations. (2016, Jun 4). Maryland Paranormal Research ®

Maryland Paranormal Research ®. (2017, Oct 8). Ghost Expedition Lexington Market Underground.  Maryland Paranormal Research ®

Nelson, R. (1998). The Global Consciousness Project: How the Measurement Works. Global Mind.

Princeton Engineering Anomalies Research. (2010).  Scientific Study of Consciousness-Related Physical Phenomena. Princeton University School of Engineering and Applied Science.

Psyleron Inc., (2008). Random Event Generators: What is a Random Event Generator?  Psyleron Inc., Consciousness Technologies and Research.

Random Event Generator (REG) Outcomes in Baltimore County/Dundalk Historic District Ghost Expedition: Support for a Consciousness Bridge? (2017, Oct 5). Maryland Paranormal Research ®

Random Event Generator (REG) Outcomes in Frederick County/Brunswick Heritage Museum Ghost Expedition 2017: Evidence of Psi Functioning? (2017, Oct 20). Maryland Paranormal Research ®

IMAGES:

Maryland Paranormal Research ®. (2017, Oct 8). Lexington Market Underground: Underground Vault. ©  Maryland Paranormal Research ®. All rights reserved.

Maryland Paranormal Research ®. (2017, Oct 8). Lexington Market Underground: Abandoned Restaurant. ©  Maryland Paranormal Research ®. All rights reserved.

Maryland Paranormal Research ®. (2017, Oct 8). Lexington Market Underground: Random Event Generator Experiment at 1521 EST on Oct 8 2017. ©  Maryland Paranormal Research ®. All rights reserved.