Predictive Remote Viewing
Welcome to our burgeoning remote viewing site. We are putting up the info a step at a time. Click on the 'Research' areas for now. Our first series lasted from May to July 2003. Below is an introductory section on the Predictive Remote Viewing (PRV) approach that we used.
We designed remote viewing (RV) protocols inspired by techniques developed by early RV pioneers such as Ingo Swann in the early seventies, through to ongoing work being done by The Monroe Institute’s Skip Atwater, a past President of the International Remote Viewing Association (IRVA).
Along with other great remote viewers such as Joseph McMoneagle, Paul H. Smith, Lyn Buchanan and Mel Riley, Skip was part of the U.S. Army's secret, psychic spy unit called Star Gate. Not just a part of it, Skip is largely responsible for the project having come into existence. (Anyone wanting to know more about the history of remote viewing should visit Firedocs.)
Our initial PRV premise was that it should be possible to remote view the way a stock would perform on the stock exchange on a daily basis. We decided to look at short-term movements for the day every day between early May to the end of July 2003. We would RV for the day immediately following the remote viewing.
First we would choose a list of the top twenty stocks on the Australian Stock Exchange. Three stocks would be chosen at random to be predicted upon for the following day.
Examples of PRV photographic targets used in research period
Next we needed some photographic targets. We initially used 120 photos. Later, we included more photos to enlarge the database to 500 targets. And finally, we increased the database to 3000 different photos.
The idea was for the photos to each be allocated a number. We then allowed six photos to be chosen randomly by the computer; two photos for each stock. That way, we could randomly allocate the first photo selected to indicate the stock would go up, and the second photo randomly selected would indicate it to go down. If the RV was inconclusive it would count as a pass.
We needed to make this a double blind experiment. That means that the remote viewer is not allowed to know what the photos look like before he or she does their remote viewing, and likewise the researchers have no idea. That way there is no chance of guesswork, bias or cheating on anyone’s part.
The targets were locked in every Friday by midday for the following week. That means that fifteen stocks were selected and thirty photos were locked in as targets to be remote viewed for Monday thru Friday.
The project required the remote viewer, in this case Simon Turnbull, to provide raw data on specially designed worksheets by fax no later than midday on the day before the stocks were to be watched. The raw data could incorporate any RV protocol Simon chose to use; Controlled Remote Viewing (CRV), Extended Remote Viewing (ERV), Associative Remote Viewing (ARV), or anything in between.
Simon wanted to incorporate his own approach to making predictions, garnered over a thirty year career as a professional psychic. He added to this some of the techniques he had learnt from studying the foregoing RV methods, so we thought we would call the new protocol Predictive Remote Viewing (PRV).
Examples of raw PRV data made during research period
Once we received Simon’s raw data, we would then look at the two randomly chosen photos in order to judge which photo Simon’s RV most resembled. Up to three judges would make their decision and a rating would be given to the work done by the remote viewer. We would allocate a rating of 0 to 4. The closer the drawing or any other form of description came to the actual photo, the higher the rating. If a rating was above 2 (the halfway mark), it was then considered to be good enough to be used as a potential basis for an investment the following day.
Simon would receive immediate feedback in the form of the photo selected, and the rejected photo. In this way he could fax back his own judgments of his work. This would have the effect of helping him to improve his remote viewing by virtue of seeing, while his memory was still clear, how close he actually came to seeing the photo target.
Remember, the task is not just employing the ability to clairvoyantly perceive what a photo is hidden in an envelope. There is the added dimension that the viewer must also predict which photo will be shown to him or her the following day at the close of business. And that photo will be the one which correctly indicates the stock movement going up or down. That is another reason why we called the process Predictive Remote Viewing.
On the following day, the opening price of the stock was recorded, and the closing price was recorded at the end of that day. Only then could we know which photo was correct, and be able to rate the prediction a failure or a success.
A second series is scheduled to begin soon.