Thomas D. Abraham

Thomas is a PhD student of psychology studying the mental representation of emotion. He also moonlights as a consciousness researcher designing and conducting psi-related experiments in areas such as remote viewing (RV) and mind-matter interaction (i.e., PK). Aside from research, Thomas and his collaborators are currently developing several software applications geared towards psi and personal growth and development including an RV training app and applications utilizing random number generators. He has presented his theoretical work at several national conferences including the International Congress on Consciousness (ICC), the Society for Scientific Exploration (SSE), and the International Association for Near Death Studies (IANDS) as well as locally. In Denver, Mr. Abraham serves as a group leader / coordinator for the local IANDS chapter, is a co-organizer for Consciousness Hacking, and is the cofounder of the Denver Consciousness Technologies organization.


    IRVA 2018 – Self-Research and Applied psi: Experiments With Simultaneous Micro & Macro PK and Harnessing Synchronicity for Financial Investment

    In this presentation, I discuss preliminary results, implications, and possible future directions from two proof-of-concept pilot studies. In the first experiment, using a technique developed by Sean McNamara, I trained myself to produce telekinetic movement (i.e., macro PK) of a foil object balanced on a needle within a glass enclosure. I also concurrently collected data from a TrueRNG random number generator (RNG). These data were analyzed for significant deviations from randomness (i.e., micro PK) following statistical procedures established by the PEAR Lab and Global Consciousness Project. After reaching a point where I could consistently and reliably produce movement in the object via intention, several more sessions were conducted with greater methodological constraints in place. During these tests, HD webcam video of the object’s motion was recorded and temporally synchronized with the RNG’s data stream. Prior to each test, baseline video and RNG data was collected in which no intention was applied to the object. Moreover, several hundred hours worth of simulated data were collected from the RNG to ensure the device operated as expected under normal conditions (randomly).

    In the second experiment, I used Psyleron’s SyncTXT synchronicity application as a trigger for investing in cryptocurrencies on the Coinbase exchange. I enacted purchases and sales based on custom messages received from the SyncTXT app at random intervals. Trends from daily closing price indexes following the SyncTXT messages were used to assess investment performance. Results from these experiments have potentially broad implications; both for future laboratory research and applied contexts."