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8/3/2019 Roger Nelson- Mind Matter and Machines: Tools for Anomalies Research
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Mind Matter and Machines
Tools for Anomalies Research
PEAR Laboratory, Princeton University
Invited Presentation for the Internationaal Jubileumcongres
75 Jaar Wetenschappelijke Parapsychologie, Utrecht, 3 mei 2003
Roger Nelson rdnelson@princeton.edu
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Designing a flawless experiment is extremely difficult, and carrying one out is probably impossible.
- - Jessica Utts, Seeing Through Statistics
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The beginning of a viable
Experiment is good design
And careful implementationThis is the beautiful and robust wiring inside the
Benchmark REG used for the First decade of
PEAR Mind/Machine Interaction experiments
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The technology has been developingOver the last four decades
Reliable, calibrated REG/RNG devices
Increasing sophistication of design
Computer recording and analysisControlled explorations
Theoretical questions
Robust analyses
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How it works: Here’s 1000 Trials from
A physical random sourceEach trial is the sum of 200 bits
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The binomial distribution of 1000
200-bit trials, compared withTheoretical normal distribution
expected
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What happens to the data over time?
Plot cumulative deviation from expectation
Should be a Random Walk (a “Drunkard’s Walk”)
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The REG technology is basic
Experimental questions can varyFeedback and perspective change outcome
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Feedback mode can be simple numbers,
a racetrack, or plots of cumulative deviationsIs one of these better?
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PEAR’s Long-Running REG Experiment:
Intention to change the REG behavior High and Low both depart from expectation
HI
LO
BL
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12 Years, 522 REG Experiments:
The Difference Between High and LowIntention is Small, but is a Significant Shift
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Other Experiments withRandom Physical Systems
Fabry-Perot Interferometer Crookes Tube
Dual Thermistor Degraded Shift Register (Chip)
Random Mechanical Cascade
Linear Pendulum
Linear to Turbulent Flow (Fountain)
…
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We have used many machines
All based on Random Sources
Dual Thermistor
Linear Pendulum
Electronic REG/RNG
Chaotic Fountain
Random Drumbeat
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An Onboard REG controls the path
of a Robot (with a Frog passenger)Poisson distributed rotation and distance
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Random Mechanical
Cascade (RMC)
The Pinball Machine
“Murphy”
10’ high 6’ wide
9000 ¾ inch balls330 ¾ inch pins19 collecting bins
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A Linear PendulumSwinging in Air
Increase or Decrease Damping
Knife edge breaksAn LED beamTiming by a 50
Nanosecond clock
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A ConstantPressure Fountain
Attempt to make itmore Chaotic
or more Linear
Photomultipliersdetect changesin frequencies
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New generations of Random Sources
PEAR B-Box: Thermal Johnson NoiseMindsong: Field Effect Transistor
Palmtop Portability
Replications and Extensions
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An REG randomizes the beats of a drumWe have primitive motivations
To create rhythmic patternsDoes the REG output change?
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ArtREG: Two pictures each get half the
Pixels, then an REG outcome shifts some.Try to get one picture to take all the pixels.
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PEAR 200: Two “cars” on a racetrack.
REG outcomes determine the speed.A PK experiment with competition.
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Broader Applications: A continuous running
REG in the lab, with software to mark events.In November, 1995, Rabin was Assassinated
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Micro Random Event Generators
(REG or RNG)Mindsong REG
Orion RNG
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Field REG Experiments: Take portable REG
With Palmtop Computer into the FieldResonant vs Mundane Situations
A Shaman in a
Healing Ceremony Scientific talks at aConference
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In FieldREG there are no assigned Intentions
We simply collect data in the situationWe find departures from expectation
Queens
Chamber
Grand
Gallery
Kings
Chamber
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Departures from expectation correlate with
Coherent or Resonant group consciousnessDeeply engaging ideas and emotions
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Going Global: A prototype collaboration
Colleagues in Europe and the USCollected 12 independent data streams
Global Consciousness Project:
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Global Consciousness Project:Raw data for a whole day, from 48 eggs.We look at means during special periods
If Trends of the Mean are Correlated with
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If Trends of the Mean are Correlated withMajor Events in the World, it Suggests that
The Deviation is Meaningful
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Examples of the Range of Potential Global Events:
Natural disastersTerrible accidents
The beginning of war The Pope’s pilgrimage
Grand celebrations
Political excitementAstrological hot spotsWorld-wide meditations
Th G t E th k i T k
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The Great Earthquake in Turkey
August 17 1999Standard Analysis
US vs Europe, Bierman
Variance Analysis, Bierman
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Symmetry in the data, maybe even meaning:
Barry’s egg and that of his friend, Sze Tan
A total solar eclipse was of
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A total solar eclipse was of Special interest to people in the path
Analysis: George deBeaumont
Voices For Peace World Wide
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Voices For Peace -- World-Wide
Conscience -- Global Consciousness
And Yet -- A Preemptive Attack
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And Yet A Preemptive Attack
The March to War is No Random Walk
Global Emotion: Transfixed by Tragedy
On September 11 2001, early in the morning, a network of
On 9/11 the data showed
extraordinary moments
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The jagged red line shows three days of a measure(squared cumulative deviation of variance) thatrepresents the composite randomness of 37 eggs.
On September 11, the data show clear structurewhere there should be none.
am
am
am
More at http://noosphere.princeton.edu
…………………………………………………………………………………………………………………..…….…………………. Normal range of variation
p y g physical random event generators (called “eggs”) took on astriking trend. By 8:45 the non-random behavior wasunmistakable. It peaked at about 10:30 with odds againstchance of a thousand to one. See the red trace below.
Other measures also deviated from expectation on that day,creating an unmistakable pattern where there should benone. The eggs became linked across distance and time insome subtle way that we do not yet know how to explain.
This is not a physical or electromagnetic effect. It’s not dueto extraordinary mobile phone use, or saturation TV.It appears to be related to our profound engagement.
On 9/11 the data containedunique sequential structure
On 9/11 deviations began
that persisted for 2 days
Global Attention: Sharing New Year’s Eve
All over the world, people celebrate the change to a NewYear Since 1998 we have recorded data from a network
And again for last year. The pattern
is replicated for the third time.
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Year. Since 1998, we have recorded data from a network of physical random event generators (called “eggs”). Herewe look at what happens at midnight around the world.
The scientific prediction is that there will be a pattern of
increased correlation among the eggs. We test for trendsaway from the expected “random walk”. We have learnedto expect reductions in the variation across the eggs.
The figures on this page almost speak for themselves.They are pictures of our engagement with each other.
Variance Drop, Midnight, 1999-2000
Then, for the infamous
Y2K transition, we lookedat a measure of the
variability among the eggs
and predicted it would
decrease as we all focused
on midnight.
We predicted the same pattern
for the following year.
More at http://noosphere.princeton.edu
In the first year, 1998-1999, we
looked for a change in the average
deviation, and compared Maxi- and
Mini-celebration time zones.
The Bottom Line:
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142 global events over 4.5 years
Odds: About 100,000 to 1
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Questions we may beAble to address
Geographic nonlocalityPsychological distance
Temporal nonlocalityExperimenter effects
Observer modelsField models
…
Wh t C W L F
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What Can We Learn From
Mind/Machine Interaction StudiesGlobal Consciousness Experiments?
More generous view of Consciousness
Insights about creative mind
Evidence that we are not isolatedApplications to cultural issues
A psi switch?
But we have work to do
Sharpen and focus our questions
Aim for theoretical understanding
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Who holds the flaming brush,
Who touches stylus to the sand,
Who paints thus beauty in the world?
-- Gunnar Rog