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Roger Nelson [email protected] Mind Matter and Machines Tools for Anomalies Research PEAR Laboratory, Princeton University

Roger Nelson rdnelson@princeton

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Mind Matter and Machines Tools for Anomalies Research PEAR Laboratory, Princeton University. Roger Nelson [email protected]. We have used many machines All based on Random Sources. Random Drumbeat. Dual Thermistor. Electronic REG/RNG. Chaotic Fountain. Linedar Pendulum. - PowerPoint PPT Presentation

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Page 1: Roger Nelson rdnelson@princeton

Roger Nelson [email protected]

Mind Matter and MachinesTools for Anomalies ResearchPEAR Laboratory, Princeton University

Page 2: Roger Nelson rdnelson@princeton

We have used many machinesAll based on Random Sources

Dual Thermistor

Linedar Pendulum

Electronic REG/RNG

Chaotic Fountain

Random Drumbeat

Page 3: Roger Nelson rdnelson@princeton

Designing a flawless experiment is extremely difficult, and carrying one out is probably impossible.

- - Jessica Utts, Seeing Through Statistics

Page 4: Roger Nelson rdnelson@princeton

The beginning of a viable Experiment is good design And careful implementation

Page 5: Roger Nelson rdnelson@princeton

The technology has been developing Over the last four decades

Reliable, calibrated REG/RNG devices

Increasing sophistication of design

Computer recording and analysis

Controlled explorations

Theoretical questions

Robust analyses

Page 6: Roger Nelson rdnelson@princeton

New generations of Random SourcesPEAR B-Box: Thermal Johnson Noise

Mindsong: Field Effect Transistor

Replications and Extensions

Palmtop Portability

Page 7: Roger Nelson rdnelson@princeton

How it works: Here’s 1000 Trials from A physical random source

Each trial is the sum of 200 bits

Page 8: Roger Nelson rdnelson@princeton

The binomial distribution of 1000 200-bit trials, compared with

Theoretical normal distribution

expected

Page 9: Roger Nelson rdnelson@princeton

What happens to the data over time?Plot cumulative deviation from expectation

A General Case GCP Standard Analysis

Should be a Random Walk (a “drunkard’s walk”)

Page 10: Roger Nelson rdnelson@princeton

The REG technology is basicExperimental questions can vary

Feedback and perspective change outcome

Page 11: Roger Nelson rdnelson@princeton

Feedback mode can be simple numbersOr plots of cumulative deviations

Is one of these better?

Page 12: Roger Nelson rdnelson@princeton

Laboratory Experiments, PEAR:Intention to change the REG behavior

High and Low both depart from expectation

HI

LO

BL

Page 13: Roger Nelson rdnelson@princeton

522 REG Experiments: The Difference Between High and Low

Intention is Small, but is a Significant Shift

Page 14: Roger Nelson rdnelson@princeton

Other Experiments with Random Physical Systems

Fabry Perot Interferometer

Crookes Tube

Dual Thermistor

Degraded Shift Register

Random Mechanical Cascade

Linear Pendulum

Linear to Turbulent Flow (Fountain)

Page 15: Roger Nelson rdnelson@princeton

An Onboard REG controls the pathof a Robot (with a Frog passenger)

Poisson distributed rotation and distance

Page 16: Roger Nelson rdnelson@princeton

Random Mechanical Cascade (RMC)

The Pinball Machine

Murphy

9000 ¾ inch balls19 collecting bins10’ high 6’ wide

Page 17: Roger Nelson rdnelson@princeton

A Linear PendulumSwinging in Air

Increase or

Decrease Damping

Knife edge breaks An LED beamTiming by a 50

Nanosecond clock

Page 18: Roger Nelson rdnelson@princeton

A Random Event Generator (REG or RNG)

Mindsong REG

Orion RNG

Page 19: Roger Nelson rdnelson@princeton

Broader Applications: A continuous running REG in the lab, with software to mark eventsIn November, 1995, Rabin was Assassinated

Page 20: Roger Nelson rdnelson@princeton

Field REG Experiments: Take portable REG With Palmtop Computer into the Field

Resonant vs Mundane Situations

Page 21: Roger Nelson rdnelson@princeton

In FieldREG there are no Assigned Intentions

We simply collect data in the situationWe find departures from expectation

Queens Chamber

GrandGallery

KingsChamber

Page 22: Roger Nelson rdnelson@princeton

Departures from expectation correlate with Coherent or Resonant group consciousness

Deeply engaging ideas and emotions

Page 23: Roger Nelson rdnelson@princeton

Going Global: A prototype collaborationColleagues in Europe and the US

Collected 12 independent data streams

Page 24: Roger Nelson rdnelson@princeton

Global Consciousness Project Combined data

For a whole day, from 48 eggs

Page 25: Roger Nelson rdnelson@princeton

We can see better what’s happening by Plotting the cumulative deviations

Correlation Tilts … Variance Spreads

Page 26: Roger Nelson rdnelson@princeton

Maybe a trend in the cumulative Deviation is Meaningful?

Page 27: Roger Nelson rdnelson@princeton

Examples of the range ofPotential Global Events:

Natural disastersTerrible accidents

The beginning of warThe Pope’s pilgrimage

Grand celebrations Political excitement

Astrological hot spotsWorld-wide meditations

Page 28: Roger Nelson rdnelson@princeton

Tearing the Social Fabric:

Terrorists Attack Civilians and Diplomats

Nato Bombs Kosovo to End Ethnic Cleansing

Taliban Destroy Ancient Buddhist Treasure

September 11 Enters History of the Earth

Page 29: Roger Nelson rdnelson@princeton

Major disasters that engage us powerfullyOften correlate with big deviations

Page 30: Roger Nelson rdnelson@princeton

An exploration of context: Six hours of dataAround the beginning of bombing in Kosovo

Page 31: Roger Nelson rdnelson@princeton

Sept 11 prediction: Inter-egg Variance will fluctuate

Red is real data, Green is Pseudorandom

Page 32: Roger Nelson rdnelson@princeton

Repairing the Social Fabric:

Healing MeditationsPrayer VigilsCeremonies

Holidays

Page 33: Roger Nelson rdnelson@princeton

A Substantial Agreement on Getting Our Ecological Act Together

Page 34: Roger Nelson rdnelson@princeton

Voices For Peace -- World-Wide Conscience -- Global Consciousness

Page 35: Roger Nelson rdnelson@princeton

And Yet -- A Preemptive Attack The March to War is No Random Walk

Page 36: Roger Nelson rdnelson@princeton

The Lighter Side

Celebrations: What better example than

New Years?

Page 37: Roger Nelson rdnelson@princeton

An obvious prediction: New Years celebrations

Across all (37) time zones

Three of five are classic examples

Page 38: Roger Nelson rdnelson@princeton

Prediction: New YearsReduction of Variance

Among the Eggs

Three of five are classic

confirmations

Page 39: Roger Nelson rdnelson@princeton

Questions outnumber answers

Deep engagement is powerful Great numbers contribute

butDoes distance from the focus matter?How about relevance to local people?Is human consciousness necessary?

Are “experimenter effects” the source? What kinds of events are “strongest”?Is the effect repeatable and reliable?

Page 40: Roger Nelson rdnelson@princeton

Effect vs Dist, Stouffer Z, Full Day, Sept 11

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

1.2

1.4

USEastern

US Middle

USWestern

England,Scandin

WesternEurope

Israel,India,Brazil

Africa,Austral,

New ZealIncreasing Distance from NYC

Effe

ct S

ize

(r)

Does the distance of the eggsFrom the event make a difference?

Page 41: Roger Nelson rdnelson@princeton

GCP Effect Size by Event Category

-0.5

-0.3

-0.1

0.1

0.3

0.5

0.7

0.9

1.1

1.3

Cel

ebra

tion

Spiri

tual

Eve

nt

Terr

or A

ttack

War

Act

s

Cra

sh A

ccid

ent

Mis

c N

atur

al

Spor

t Eve

nt

Mis

c H

uman

Med

itatio

n

Nat

ural

Dis

aste

r

Polit

ical

Eve

nt

Com

posi

te E

ffect

Category

Effe

ct S

ize

(r)

Categories: What seems to touch the EGG Network? Four and a Half Years, 132 Formal Predictions

Page 42: Roger Nelson rdnelson@princeton

The Bottom Line:132 global events over 4.5 years

Odds: About 100,000 to 1