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Volume 7: Number 3: Article 3
Selection Versus Influence in Remote REG Anomalies
York H. Dobyns, Princeton Engineering Anomalies Research, C-131,
Princeton University, Princeton, NJ 08544-5263
A large body of remote human-machine interaction data has been collected
in a protocol structurally similar to that used for experiments in remote
perception, with somewhat comparable anomalous results. This suggests
that the effects seen in the former could be attributable to a selection
or sorting process on a reservoir of unperturbed data, rather than to
any remote influence on the machine behavior per se. Fortunately, the
statistical consequences of these two modalities are clearly distinguishable
within the available empirical data. When properly evaluated by Bayesian
hypothesis- comparison methods, the experimental results overwhelmingly
favor the direct influence hypothesis over any selection mechanism.
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