Published in the most recent issue of the Journal of Scientific Exploration (Vol. 28, No. 1) under the title of “Stock Market Prediction Using Associative Remote Viewing by Inexperienced Remote Viewers” (PDF), the study was carried out as part of a class project (in a course entitled “Edges of Science”) at the University of Colorado in Boulder. The ten ‘remote viewers’ were neophytes, nine of them being students and one a professor.
Stock Market Prediction Using Associative Remote Viewing
by Inexperienced Remote Viewers
CHRISTOPHER CARSON SMITH
DARRELL LAHAM
GARRET MODDEL
Department of Electrical, Computer, & Energy Engineering, University of Colorado, Boulder, Colorado, USA
moddel@colorado.edu
Submitted 2/20/2013, Accepted 12/7/2013
Abstract—Ten inexperienced remote viewers attempted to predict the outcome of the Dow Jones Industrial Average using associative remote viewing. For each trial in the experiment, each participant remotely viewed an image from a target set of two images, one of which he or she would be shown approximately 48 hours from that time. Of the two images in the target set, one corresponded to whether the Dow Jones Industrial Average (DJIA) would close up, while the other corresponded to whether it would close down at the end of the intervening trading day. For feedback, the viewers were shown only the picture actually associated with the actual market outcome. In aggregate, the participants described the correct images, successfully predicting the outcome of the DJIA in seven out of seven attempts (binomial probability test, p < .01). Investments in stock options were made based on these predictions, resulting in a significant financial gain.
