The balancing effect in brain-machine interaction

TL;DR

This paper re-evaluates the statistical evidence for brain-machine interaction using rigorous methods, concluding that mental influence does not shift random number generator data from chance, and attributes observed effects to experimenter psychology.

Contribution

It provides a rigorous statistical analysis that refutes the existence of mental influence on RNG data, emphasizing the role of experimenter psychology in previous findings.

Findings

RNG-IMMI data is not shifted from chance by mental intervention.

Observed effects are due to experimenter psychology, not true mental influence.

The statistical balancing explains the previously reported effects.

Abstract

The meta analysis of Intangible Brain Machine Interaction (IMMI) data with random number generators is re-evaluated through the application of rigorous and recognized mathematical tools. The current analysis shows that the statistical average of the true RNG-IMMI data is not shifted from chance by direct mental intervention, thus refuting the IMMI hypothesis. A facet of this general statistical behavior of true RNG-IMMI data is the statistical balancing of scores observed in IMMI tests where binary testing conditions are adopted. The actual dynamics that had been supporting the elusive IMMI effect are shown to be related to the psychology of experimenters. The implications of the refutation of the IMMI hypothesis especially on associated phenomena are also discussed.