| REG Experiments: Equipment and Design |
| Introduction
About five
decades ago, electronic random
event generators (REGs) began to be used in a large number of
laboratory experiments designed to test the hypothesis
that human consciousness might
interact directly with sensitive physical systems.
An animated graph
using data from a true random source
shows the nature of a typical random sequence.
Another animation (albeit with no random process) shows how a
series of samples gradually build up a distribution. It shows what
happens if you let balls
bounce through an array of pins in a graphic
pinball machine.
The results of many experiments using REGs provide clear statistical
evidence that the behavior of these devices deviates from chance expectation in
correlation with the pre-defined intentions of participants in the experiments. In 1979,
the Princeton Engineering Anomalies Research Laboratory (PEAR) began collecting
large databases in an REG experiment with particularly rigorous controls and a variety of
optional parameters to assess the reliability and the nature of the apparent mind/machine
interaction. Over a 12 year period of primary investigation, ten physical and
psychological conditions were examined as possible mediating variables in the experimental
results. A number of extensions and variations on the basic protocol have been explored,
using several random sources as well as a selection of different physical systems whose
performance is dependent in a fundamental way on some form of random process. A brief
summary of the REG results based on an analysis of variance is
available. In 1993, a new protocol was developed to allow experimentation in the field. A portable
REG connected to a laptop or a palmtop computer, allows freedom of movement for field
applications. Typically the device is brought into a group situation, to record data
continuously in the background while the participants are engaged with each other or the
ongoing events. A crucial difference between these FieldREG
experiments and the laboratory REG work is that in the former, there is no assigned
intention to interact with or influence the device. Instead, the FieldREG has the role of
a simple monitor, with the purpose of recording data that will subsequently be examined
for deviations that correspond with pre-specified time periods. Both the laboratory and
field versions of this research have accompanying calibrations and control data which
confirm that the random sources are of high quality, delivering data that conform to
theoretical expectations in control conditions. Equipment The PEAR program has used three generations of random event generators, with different
primary sources of white noise, but important common features of design. The original
"benchmark" experiment used a commercial random source developed by Elgenco,
Inc., the core of which is proprietary. Elgenco's engineering staff describe the
proprietary module as "solid state junctions with precision pre-amplifiers,"
implying processes that rely on quantum tunneling to produce an unpredictable,
broad-spectrum white noise in the form of low-amplitude voltage fluctuations. The PEAR
Portable REG uses Johnson noise in resistors, which is so-called "thermal noise"
and is also a quantum level phenomenon that produces a well-behaved broad-spectrum
fluctuation. The Mindsong Micro-REG
uses a field effect transistor (FET) for the primary noise
source, again relying on quantum tunneling, and providing completely uncorrelated
fundamental events that compound to an unpredictable voltage fluctuation. In all cases, the design begins with white noise, for example in the PEAR Portable REG,
a flat spectrum +/- 1 dB from 1100 Hz to 30 kHz. A low end cutoff at 1000 Hz eliminates
frequencies at and below the data-sampling rate. This filtering, together with appropriate
amplification and clipping, produces an approximate square wave with unpredictable
temporal variation. Sampling at a constant 1 kHz rate is typical, although special sources
have been constructed allowing higher rates (up to 2 MHz). Analog and digital processes
are completely isolated by alternating these operations to exclude contamination of the
analog noise train by digital pulses. To eliminate biases of the mean that might arise
from such environmental stresses as temperature change or component aging, an exclusive or
(XOR) mask is applied to the digital data stream. This is either an alternating 1/0
pattern or a more complex mask comprising an array of all bytes with equal occurrence of
1/0. Both exclude bias of the mean, in principle, and the latter also excludes all
short-lag bit-to-bit and byte-to-byte autocorrelations. Finally, data for the PEAR
experiments are recorded as "trials" that are the sum of N samples (e. g., 200
bits) from the primary sequence, thus further mitigating any residual short-lag
autocorrelations. The result is a data sequence that conforms to the appropriate
theoretical binomial distribution and to its normal approximation. The final output of the PEAR devices is a sequence of bytes presented to the computer's
serial port, which are then formed into a sequence of trials (typically sums of 200 bits),
generated at 1 per second. Calibrations on all of the devices show behavior that closely
models theoretical expectations for mean, variance, skew and kurtosis. REG Experiment Design Given a sequence of trials with a well-defined expectation for the mean and standard
deviation (100, 7.071), participants try to change the output according to pre-stated
intentions. The situation is analogous to trying to get more "heads" or more
"tails" while flipping an unbiased coin. The REG is in this sense a very
sophisticated, high speed electronic "coin-flipper", connected to a computer for
reliable data collection in controlled experiments. The computer also allows immediate
computation of statistics, and feedback of various kinds including graphic displays of the
accumulating deviations from what is expected for an undisturbed random process. The basic design for laboratory experiments using the REG technology constitutes a
final level of protection against artifactual sources of apparent effect. It is a
"tripolar" design, where participants generate data under three conditions of
pre-specified intention, namely to achieve high (HI) or low (LO) means, or to generate
baseline (BL) data. In addition to this primary variable, a number of secondary parameters
are represented as options that can be explored. These include the identity of the
individual operators (participants), including robust comparisons that are possible among
a subset of prolific operators who do many replications of the experiment. A related,
simpler variable is the operator's gender, including operator pairs who may be of the same
or opposite sex, and who may be "bonded" pairs. Different sources for the data
include the true random sources described earlier, and both hardware and algorithmic
pseudorandom generators. Other parameters include the distance the operator is from the
machine, up to thousands of miles, and analogous separations in time, up to several hours
or a few days. The information density (bits per second) and the number of trials in runs
have been varied, as have the instruction mode, feedback type, and the replication number
or serial position. A number of publications giving details are available. |