Saturday, November 14, 2015

CIA Funded Remote Viewing Study | Stanford: Can Remote Viewing or Dreaming Predict Stock Market Prices?

The following is a fascinating article discussing an experiment conducted by Stanford University and funded by the CIA. The team was able to demonstrate that untrained Stanford students were able to predict stock market trends at a level above chance. The students were not trained in the techniques that the government has long determined to be most effective, yet were still able to achieve a measurable result. 

To the average person, remote viewing or precognition is a science fiction fantasy, but the realities of other-then-physical data transmission and receipt via the human mind are well acknowledged in government circles. According to the Stargate Program, a DIA led program that lasted 25 years before being classified, well trained remote viewers have an incredibly accurate level of prediction. 

Related “The Star Gate Project” Did The US Government Really Shut It Down?

J.P. Morgan was an avid believer in Astrology and it's ability to predict market fluctuations. 
“Millionaires don't use Astrology, billionaires do.” 
J.P. Morgan
Related Astrology 101: What You Need To Know About Birth Charts, Cycles & Deep Astrology

Perhaps this secondary validation by the CIA and Stanford will compel the uninitiated to reconsider their dismissal of metaphysical realities. 

Related The Science of Inspiration | Five Scientific Discoveries Made in Dreams

- Justin

Source - The Epoch Times

In Beyond Science, Epoch Times explores research and accounts related to phenomena and theories that challenge our current knowledge. We delve into ideas that stimulate the imagination and open up new possibilities. Share your thoughts with us on these sometimes controversial topics in the comments section below.

A crowdfunding campaign is underway for an unusual experiment to be conducted by University of Colorado–Boulder engineering professor Garret Moddel, Dr. Julia Mossbridge of Northwestern University’s psychology department, and an unnamed financial services analyst. They will compare and contrast different methods of stock-market prediction—including remote viewing and precognitive dreaming. 
The campaign website explains: “A growing research literature, including our own work, suggests that humans have non-conscious access to information about upcoming events that should otherwise be unpredictable. This seems strange to our conscious minds, because most of us don’t normally experience knowing what the future will bring, except in obvious cases. Previous work suggests that we must use tricks to access this non-conscious information, like asking people to draw pictures of future images that are associated to events (associated remote viewing or ARV), or asking people to dream about the future (precognitive dreaming).”
Professor Moddel’s students have seemingly been able to predict stock market changes.
It was shown in experiments conducted by Stanford University and funded by the U.S. Central Intelligence Agency (CIA), explains Dr. Mossbridge in a video on the website, that: “At a rate above chance, people can be trained to sketch an image or a geographical location they will see in the next day or the next week.”
By drawing similar pictures, Professor Moddel’s students have seemingly been able to predict stock market changes, an ability he hopes to explore further with this study. More investigation is needed to ensure the successful results are above what one would expect according to chance. 
The United States government has taken remote viewing seriously, with U.S. intelligence developing remote viewing training programs. 

How Associate Remote Viewing (ARV) Works in the Experiment

Though the immediate aim of the experiment is to produce reliable guesses about the market shifts over 120 days, the long-term application the project has in view is to help prepare for unfortunate events. 
The project’s financing goal is $50,000. To contribute, go to the webpage linked here.
Previous work on stock market prediction using associate remote viewing and untrained viewers:



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