Effects of Mass Consciousness: Changes in Random Data During Global Events
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Plain English Summary
This is the big follow-up from the Global Consciousness Project, now expanded to 65 random number generators worldwide. By 2011 the team had pre-registered over 345 tests β each locked in before anyone peeked at data β and the cumulative result hit a remarkable 6.2 sigma, one of the strongest sustained signals in all of psi research. The key finding: the effect wasn't individual devices acting weird, but devices becoming subtly correlated during major world events, as if an invisible thread briefly linked them. There were even hints that correlations depended on distance between devices. To rule out electromagnetic interference, they tried shielding, mathematical debiasing, and checked for daily rhythms β nothing conventional fit. Non-event data confirmed perfectly normal behavior otherwise. Whatever is going on, it stubbornly resists easy explanation.
Research Notes
The definitive published account of the GCP formal replication series through 2011. Key for Controversy #8 (GCP effects). Nelson was the project director at Princeton; Bancel provided the analytical framework (C1/C2 decomposition). The 6.2Ο result is among the strongest cumulative signals in psi research. DOI corrected Session 48 (was 10.1016/j.explore.2011.05.005, actual is 10.1016/j.explore.2011.08.003). IONS affiliated. Published in Explore.
Comprehensive overview of the Global Consciousness Project (GCP), a long-term experiment using 65 quantum-source RNG nodes worldwide producing 200-bit trials per second. Through January 2011, 345+ formally registered hypothesis tests β each pre-specified before data extraction β yield a composite deviation of 6.2 standard deviations from the null (average event Z = 0.33 Β± 0.054, normally distributed). Effect driven by inter-RNG correlations (C1 statistic), not individual device shifts. Suggestive evidence of a second orthogonal correlation (C2) and spatial structure (distance-dependent regression). Bootstrap resampling of 98% non-event data confirms null behavior. EM explanations rejected via shielding, XOR debiasing, absence of diurnal variation, and global synchronization incompatible with local fields.
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π Cite this paper
Nelson, R.D, Bancel, P (2011). Effects of Mass Consciousness: Changes in Random Data During Global Events. Explore. https://doi.org/10.1016/j.explore.2011.08.003
@article{nelson_2011_effects,
title = {Effects of Mass Consciousness: Changes in Random Data During Global Events},
author = {Nelson, R.D and Bancel, P},
year = {2011},
journal = {Explore},
doi = {10.1016/j.explore.2011.08.003},
}