Moving into higher gear: webinar vids & lots more!

T.W.: This is a compilation of links to recent Applied Precognition Project webinars and the papers referenced.

JON KNOWLES: At the APP Webinar yesterday (5/23/14) Laur described a sophisticated method to find out which variables (axes) will best guide us to 80% accuracy in ARV.  Laur used Greg K’s paper to plot take a look at variables like solar wind and number of trials. Laur even made it more or less intelligible to those of us without a statistic background. Thank you, Laur!

Along with Alexis’ ACR approach, Akesh’s method, Igor’s tech ability and Forex experience, and Ed May’s CAS software  – APP is moving into even higher gear, on top of the great foundation that Marty, Chris and Tom  – and all of us in APP- have built.

T.W.: Responding to requests for additional explanation of how he calculated viewers’ ACR (Anamolous Cognition Rating), Alexis prepared this “Visual Guide to ACRs” PowerPoint. Here are links to the other documents Alexis referenced during the webinar as background: Glicko RatingTrueskill RatingWhole History Rating

Marty also referenced Alexis’ discussion of the statistical relevance of  CR divergence (one of the variables used in the Scalar Field presentation) in the Dec. 21, 2013, webinar.

JON: Here are links to documents by two other researchers who have explored and published about such variables as well; e.g. LST (Local Sidereal Time) and geomagnetic activity. Laur suggests finding the 3 best axes. LST and geomagnetic activity are candidates as well as the three Laur mentioned–CR divergence, number of trials, and solar wind speed. (Laur explains that you can use 4 or 5 variables aka scalar field dimensions, but there are tradeoffs.)

Adrian Ryan (London)

James Spottiswoode