The first meeting of the people most deeply engaged in
analysis, programming, and development of the GCP was held in Petaluma,
California from June 14 to 17, 2002. Following the
Fournier dictum, we did not expect to do things at the meeting, but to
meet each other, and then to go off in small groups for the hands-on
work. Here are some of the main items we talked about, with some names
of people who said they would like to do this work or who may be likely
contributors. Take a look, and if you see something you would like to
work on, get in touch with the person listed first, who will be the
organizer or group leader. If you want to work on something here and
don't have an address, send a note to
1. Analysis, Reanalysis
Dean Radin, Roger Nelson, Richard Broughton, Peter Bancel
First identify a set of analyses that make sense and cover all the
independent perspectives. Consider implications of suite analysis
for hypothesis testing. Apply to all previously identified events in
the formal table (and maybe the major explorations).
Partial list: Mean Deviation, Variance, Autocorrelation, Inter-egg
Correlation, Time Series tools, Primary and secondary variables, Optimal
binning. Development of automated suite that can run on the Server,
based on Eggshell. Data mining engine. Consider resampling. Remember
the pseudorandom clone analysis. Compare theoretical and empirical
2. Meta Papers
Peter Bancel, Roger Nelson
Technical implementation, the papers nobody wants to write, on the deep
background and details of hardware, software, environmental conditions,
calibration, security, database management, documentation. Many
practical tests and calibrations should be done in an organized way.
Aim is to have ready answer to all questions about the details of the
project, and basic supporting material for communication in mainstream
3. Website Split
Roger Nelson, Peter Bancel, Rick Berger
The website now combines the science and aesthetics with no facility for
extracting or presenting the hard-edged material alone.
The plan is to split off a
"Science only" branch, where we can suggest serious conservative people
go to get the basics. The formal analyses and contextual
explorations will be segregated and unambiguously identified.
The Meta Papers will be a model part of the content, and will provide
primary, authoritative source material for anyone wishing to
study the solid, scientific evidence for any extraordinary claims we
make. The aesthetic side of the site may also present the
science bits, but in a
setting that is more free to treat interpretations, implications,
inferences, and meaning. Here
the data can be considered a source for modulations of ideas, as raw
material for visual displays, music, and poetry of all sorts, as fair
game for creative exploratory analysis and synthesis.
Joe Giove, Tom Sawyer, Peter Bancel, Roger Nelson
We may have more work to do in the science domain, but for some purposes
the GCP work already can serve as foundation or complement.
What are the experiments now telling us? What should be done next to
make applications viable and effective. What needs to be done better?
What non-psi experiments might be useful?
How about a Global Biofeedback Monitor (GBM) as Joe suggests,
possibly as a separate network?
Will our effects be more reliable or larger
if there is public expectation?
What are the scientific concerns for moving forward with a GBM?
What are the potential applications?
Commercial considerations: ownership, safeguards, liabilities, etc.
Cost estimates for replicating the infrastructure; budgeting for
maintenance and support, etc.
5. Data Specification and Extraction
Dick Bierman, Greg Nelson
Specification of dataset, beginning and end of segments, binning,
parameters, analysis algorithms. This could be a thesis topic for a
computer science graduate student: creating a processing language
to understand the complex of variables, the network, multimedia
optimization. Link to Eggshell group
Doug Mast, York Dobyns, James Spottiswoode, Peter Bancel?, Dick Bierman?
Comprehensive inter-egg correlation over large amounts of
data. The idea is that if there is some source or influence that
operates on many eggs at a given time, even though it cannot be
identified, there should be a composite excess of correlation. Needs
thinking about blocking or binning, efficient algorithms, independence
of components, and more.
7. Eggshell: Multi-platform Compiling, Interface
John Graham, Dean Radin, John Walker
Adaptation of software suite to multiple platforms. Examination and
testing of Eggshell to see what still is needed. Development of
user-friendly interface for a set of default applications. Publish a CD
with source and pre-compiled builds, and the auxiliary files such as
rotten_eggs.csv and location.csv. Develop procedure and tools for
updating the aux.csv files and algorithms.
8. Hardware Issues
John Graham, Dick Shoup, Rick Berger, Ed Lantz
Testing vulnerability to low, non-spec supply voltage, other
environmental impacts like temperature and EM fields. Deeper
calibration. Development of protective and preventative strategies.
Clean startup and shutdown under computer or power failure.
Assessment of error capture, filtering of bad data.
9. Growing, Changing Network
Dick Bierman, Paul Bethke, Dick Shoup, Charles Ostman, Lee Klinger?,
Considerations for optimal size of the EGG network, and composition. New
egg types, including the Potato Chip, new technologies like single
photon capture, biochips. Implications, costs and benefits of larger
network, distribution, duplication. Multiple networks, Intel onboard
REG sources, one-room EGG. Muse on any and all major changes.
Build and test a Potato Chip (biochip REG). If we can do something,
10. Publishing and Outreach
Roger Nelson, Peter Bancel, Dean Radin, Ralph Abraham? Marilyn Schlitz?
We want to invite others to look at the anomalies. Journals like IEEE,
and Statistical Science. Road show getting invitations via our
networks of mainstream friends, to give colloquia and seminars.
Grounded in gruntwork.
11. Data Camp
Peter Bancel, Marilyn Schlitz
Undergraduate and Graduate Students. Concentrated sessions of a couple of
weeks with us as Faculty. Our data and tools as material for intensive
education in sophisticated statistical and analytical work.
"If you don't like statistics, don't come."
Marilyn Schlitz, Roger Nelson, others
Small grants as seed support for works in progress,
preparation of technical reports, meta-papers, mainstream submissions.
Support for larger grant preparation, targeting e.g. Bial, NSF, International
Collaboration RFAs mentioned by Marilyn.
Immediate needs: brief descriptions, like one page.
Think first in terms of
5-10K chunks for projects, pending several pieces of the
polished work we talked about and perhaps supporting it,
e.g., there was some discussion of aiming higher, to look for ongoing
funding adequate to support some part or full time jobs. E.g.,
Peter, and possibly an assistant or two, etc.
It is important to be sure that if we aim for money to support
needed developments, we work to maintain the extraordinarily valuable
from-the-heart type of involvement that has brought us this far.
Charles Ostman, Frank Sudia, Ed Lantz, others
We need to have some thinking about a broader context, even though it
may be premature to try to explain the correlations we see in the data.
Roger Nelson, Tom Sawyer, others
Pleasing displays with colors, 3-D plotting, localization, musical
tones, modulations of graphics, ... based on the flow of data.