IRVA-iRiS Research Award 2022: Investigating the hit accuracy of single records within Controlled Remote Viewing (CRV) sessions.
You often hear people ask, “What is your remote viewing track record?” Sometimes it is phrased more generally: “How successful is remote viewing, anyway?” Unfortunately, even after more than 50 years, we have no concrete way of measuring remote viewing accuracy for operational application. The most you are likely to get are subjective estimates, and any percentages that are offered turn out to be guess work.
By now we can say we have a pretty good overview of the “hit accuracy” of ARV, in a defined interaction of viewer and judges, but that’s not really helpful in coming to an answer for the basic question. If Remote Viewing is to be used operationally, there remains a major problem: The objective is not to search for information that is already known (information that could be provided by feedback), but rather, to obtain the “unknowns”—the information that is not known in advance, and which is essential to solve the operational problem that remote viewers have been called on to help with. Essential to answering the real question, then is to find a much better way to discover “hit accuracy” for both individual sessions and for the viewers themselves over time.
Last year’s Warcollier Award was won by Jana Rogge and her team with a research project that focuses on measuring the concrete hit accuracy of CRV sessions. When this research program is complete, the results should provide a standardized benchmark that can reveal the strengths and weaknesses of the individual viewer as well as a general overview of the accuracy of the method. The standardized benchmark data can be a building block to validating RV as a legitimate practice in broader society. Jana’s presentation unfolds the ongoing project—how it is being done, results, and an outlook on further planned stages of the project.