GO REMOTE VIEWINGResearch
Academia
Go Remote Viewing can support classroom replications, human-AI comparisons, crowd consensus studies, paper ARV experiments, calibration training, and cold-case ethics labs.
Academic posture
This is a research substrate, not a proof machine. The academic value is locked tasking, timestamped submissions, visible failures, anonymized exports, and clean controls.
Psychology, statistics, and research-methods courses
Students run sealed image-feedback trials, then analyze hit rates, false positives, judging variance, and file-drawer effects.
Semester cohort license
Controls
AI evaluation and HCI labs
Compare human blind impressions against the house AI baseline without giving either side target access.
University Research Studio
Controls
Collective intelligence researchers
Study whether many weak blind signals produce better aggregate descriptions than individual guesses.
Paid data/API export
Controls
Decision science and forecasting groups
Evaluate associative remote viewing as a paper-only binary prediction game with no live trading.
Private Lab or Enterprise Network
Controls
Journalism, criminology, and ethics programs
Run no-score sealed case exercises to study responsible aggregation, rumor risk, and authority-review workflows.
Civic Cold-Case Lab sponsorship
Controls
Neuroscience, mindfulness, and performance labs
Measure whether repeat blind-feedback practice changes confidence calibration, sensory vocabulary, or persistence.
Team Lab or cohort license
Controls
Study package
Private cohorts with public or invite-only mission feeds.
Configurable 15-minute, 1-hour, 4-hour, daily, and custom collection windows.
Anonymized exports for submissions, confidence, score events, reveal timing, AI baselines, and protocol metadata.
Study pages that explicitly separate object-target scoring, market ARV paper outcomes, and no-score cold-case aggregation.