The Study of Human Consciousness and Its Interactions with the Environment
The Princeton Engineering Anomalies Research lab (PEAR) was founded in 1979 by Robert Jahn for the purpose of studying the human consciousness. The PEAR lab had to establish a rigorous experimental protocol for the study of human consciousness-machine interactions-specifically interactions upon random physical systems. To this end, they utilized the Random Event Generator (REG)-an electronic device based on random processes of quantum tunneling, which in turn produce fundamentally random bits of binary data, zero or one.
The REG proved to be ideal. When isolated and unattended, the device outputted a sequence of random binary events that obeyed laws of probability, with an equal number of zeros and ones. This allowed the establishment of an experimental baseline, and correct calibration.
The REG acts as an electronic coin flipper. Just as a random coin flip will land on heads or tails, the REG outputs either a zero or a one, based on quantum events, extrapolated by quantum tunneling. So, when examined statistically, these events should behave in a random, predictable fashion. Unlike a coin, the REG cannot be influenced by humidity, imbalance, toss technique, etc., and is shielded from such effects as electricity and magnetic fields.
The only known effect is that of consciousness, which effects outcomes at the microscopic, quantum level, the same level the REG uses for its raw data input. The presence of a consciousness may be examined by statistical correlation of deviations caused by the consciousness and its interaction with the environment at this quantum level. A presence, and its caused deviations are only the beginning of the possible areas of consciousness studies. Gender effects may be possible, as a male consciousness tends toward higher deviations, for a shorter period of time, while a female consciousness has a lower peak deviation, but is of longer duration.
The REG is monitored, and data gather by, a computer program, FieldREG. Generally, this program is set to sample 200 bits per second. As is standard with stat correlation studies, data is considered statistically significant when “p”, the probability that an event is caused solely by chance, is less than .05 (p<.05). Output is by graph method, with the parabola indicating the boundary of the 95% level of confidence. Therefore, data outside this parabola is considered statistically significant.
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