Extended Perception & Intuition
Develop anomalous cognition through structured exercises and real-time statistical feedback — every trial scored against chance baselines.
Develop anomalous cognition through structured exercises and real-time statistical feedback — every trial scored against chance baselines.
Liminal’s extended perception training uses rigorous, repeatable protocols scored against statistical chance baselines. Research published in Psychological Bulletin and Frontiers in Psychology has documented statistically significant effects in controlled ESP studies.
Wearable integration adds a physiological dimension: heart rate variability, breathing cadence, and coherence metrics are captured alongside each trial, enabling you to discover which internal states correlate with stronger perception performance.
Peer-reviewed research on anomalous cognition and predictive anticipation
Bem (2011) at Cornell found statistically significant evidence for retroactive influence across nine experiments with over 1,000 participants, sparking widespread replication efforts in experimental psychology.
Bem, J. of Personality & Social Psych. 2011 →Storm, Tressoldi & Di Risio (2010) analyzed 108 free-response ESP studies and found a combined hit rate significantly above the 25% chance expectation, consistent with earlier Ganzfeld meta-analyses.
Storm et al., Psychological Bulletin 2010 →Mossbridge, Tressoldi & Utts (2012) meta-analyzed 26 studies showing the body produces small but significant physiological responses to future stimuli 2–10 seconds before they occur.
Mossbridge et al., Frontiers in Psychology 2012 →Four structured approaches to developing extended perception
Select the correct target from a randomized option set. Each trial is automatically scored against statistical chance, providing immediate feedback on accuracy.
Predict outcomes before they occur within timed windows. The app records your prediction, waits for the event, and scores the result — all cryptographically timestamped.
Describe your impressions about hidden targets using free-response input. Capture sketches, sensory details, and emotional impressions for later comparison.
Record daily intuitive impressions and track them over time. The app identifies recurring patterns and statistically significant clusters in your journal entries.
Four steps from blind target selection to AI-powered analysis
A cryptographic random number generator selects the target. The selection is hashed with SHA-256, creating a verifiable audit trail before your session begins.
Quiet your mind and use the optional breathing pacer or HRV coherence guide. Record your impressions through drawing, written notes, or direct selection.
Select the candidate that best matches your impression. The app reveals the correct target and scores the trial as a hit or miss against the chance baseline.
View binomial confidence intervals for your cumulative performance. Newton AI provides personalized insights based on your patterns, biometrics, and history.
Every trial produces transparent, auditable data
Statistical significance requires sufficient trial volume — typically 50+ trials.