Christopher C. Smith is a graduate student at the University of Colorado, Denver where he studies Public Administration. Christopher received his BA from the University of Colorado, Boulder in Social and Political Philosophy. Currently, he is attending the University of Colorado, Denver, where he expects to receive his Masters in Public Administration in August of 2011. Over the past 10 years, Christopher has worked primarily as a graphic designer and filmmaker. He first became interested in Remote Viewing as a youth and had the opportunity to explore his curiosity further in a class offered at CU titled Edges of Science.
Christopher C. Smith
IRVA 2011 – Stock Market Prediction Using ARV
This presentation is an account of an experiment conducted at the University of Colorado, Boulder as part of class exploring the “Edges of Science.” The experiment used Associative Remote Viewing (ARV) to successfully predict the Dow Jones Industrial Average.
In this experiment, ten inexperienced remote viewers attempted to predict the outcome of the Dow Jones Industrial Average using a protocol known as associative remote viewing. The participants remotely viewed images that were to be shown to them 48 hours or more later. The images corresponded to the way in which the Dow Jones Industrial Average performed during the intervening day. The participants successfully predicted the outcome of the DJIA 7-out-of-7 trials (Binomial Probability Test, p < .01). Investments in stock options were made based on the predictions resulting in a significant financial gain.