We are very pleased to report that a manuscript for our collaborative research on Precognitive Remote Viewing has been completed and is now moving through the peer-review process.
A preprint of the submitted paper is available to read and download on PsyArxiv.
Please note that preprints are early manuscripts that have not yet been fully peer-reviewed, this is still a work in progress, and the final text may change.
Here is the current version of the abstract:
State, Trait, and Target Parameters Associated with Accuracy in Two Online Tests of Precognitive Remote Viewing
Julia Mossbridge, PhD 1,2,3,4, Kirsten Cameron1,3, Mark Boccuzzi5
1 TILT: The Institute for Love and Time, Sebastopol, CA 95472, USA
2 Institute of Noetic Sciences, Petaluma, CA 94952, USA
3 California Institute of Integral Studies, San Francisco, CA 94103, USA
4 University of San Diego, San Diego, CA 92110, USA
5 The Windbridge Institute, LLC, Tucson, AZ 85712, USA
Corresponding author: Julia Mossbridge, PhD
Precognition, the capacity to use non-ordinary means to accurately predict future events that are seemingly unpredictable, has been well established by examining performance on laboratory-based free-response precognitive remote viewing (PRV) tasks. However, understanding precognition mechanisms proceeds at a slow pace at least partly because state, trait and target parameters seem to have complex influences on task performance, necessitating relatively large sample sizes compared to other empirical phenomena studied in experimental psychology. Here we gather PRV data in two online experiments, together designed to examine the relationships between accuracy on PRV tasks and trait (sex-at-birth, gender, age), state (feelings of anxiety and unconditional love), and target (interestingness) parameters. Experiment 1 used a forced-choice, uncontrolled-time, self-judged PRV task for which 682 unpaid participants contributed a total of 5,432 trials. Experiment 2 used a free-response, controlled-time, independently judged PRV task for which 307 paid participants each contributed a single trial. In neither case were the participants pre-screened for PRV ability. The results revealed significant overall PRV performance only in experiment 2. In experiment 1 (forced-choice PRV task), there was no effect of age on performance, but sex-at-birth and independently rated target interestingness was highest among targets most likely to be correctly predicted, with a pre-registered analysis of target interestingness confirming this effect. In experiment 2 (free-response PRV task), gender had no effect on performance, but feelings of unconditional love were correlated with higher accuracy, and feelings of anxiety were also correlated with higher accuracy, especially among women. Also in experiment 2, independently rated target interestingness again was positively related to accuracy. Taken together, these results strongly suggest that sex-at-birth, gender, emotional state, and target interestingness all influence accuracy on PRV tasks, and that task characteristics mitigate some of these effects. Based on these results, recommendations for future research are provided.
The authors would like to thank the Bial Foundation for generously funding the first author during the course of this study (Bial grants 2014_260, 97_16, with369/20 specifically covering the second analysis set). We are also grateful to Theresa Cheung who funded the website for the book The Premonition Code, which allowed us to gather data for the first analysis set.
Mossbridge, J., Cameron, K., & Boccuzzi, M. (2022, October 28). State, trait, and target parameters associated with accuracy in two online tests of precognitive remote viewing. https://doi.org/10.31234/osf.io/9zjus
Header Image: TotS
and the Stable Diffusion image creation algorithm