Abstract

Presents a new model of the decision augmentation theory (DAT). DAT holds that humans integrate information obtained by anomalous cognition into the usual decision process. It is suggested that this results, in a statistical sense, to decisions which are biased toward volitional outcomes. The authors introduce their model to show that the domain over which it is applicable is within a few standard deviations from chance. This theory\'s experimental consequences are contrasted with those of models that treat anomalous effects as due to a force. Mathematical expressions for DAT and for force-like models using 2 distributions, normal and binomial, are derived. Statistical power curves are provided to assist in the experimental design of tests created to test the DAT both retrospectively and prospectively.