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—Anomalous effects of human intention on the output of electronic random event generators (REGs) have been well established at the PEAR laboratory and elsewhere. A simple model of this effect as a change in the binary probability of the REG digits would predict that larger statistical yield can be achieved simply by processing more bits. This hypothesis was(More)
— Strong correlations between output distribution means of a variety of random binary processes and pre-stated intentions of some 100 individual human operators have been established over a 12-year experimental program. More than 1000 experimental series, employing four different categories of random devices and several distinctive protocols, show(More)
A 16-year empirical assessment of anomalous human/machine interactions provides strong evidence that consciousness can add information to otherwise random digital strings. A parallel program of remote perception studies establishes the inverse process: the anomalous acquisition of information about distant physical targets. Remarkably, neither of these(More)
Strong correlations between output distribution means of a variety of random binary processes and pre-stated intentions of some 100 individual human operators have been established over a 12-year experimental program. More than 1000 experimental series, employing four different categories of random devices and several distinctive protocols, show comparable(More)
—Experiments with a "Random Mechanical Cascade" (RMC) apparatus have yielded anomalous results correlated with pre-stated intentions of human operators. Based upon a common statistical demonstration device, this machine allows 9000 polystyrene balls to drop through a matrix of 330 pegs, scattering them into 19 collecting bins with a population distribution(More)
— Effect sizes achieved by human operators in random event generator anomalies experiments show correlations with the ordinal positions of the experimental series in both the collective and individual databases. Specifically, there are statistically significant tendencies for operators to produce better scores over their first series, then to fall off in(More)