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Validating the GCP data hypothesis using internet search data.

Ulf Holmberg1

  • 1Kammakargatan 50, 11160, Stockholm, Sweden.

Explore (New York, N.Y.)
|August 13, 2022
PubMed
Summary

Global Consciousness Project (GCP) data, which measures random number generator output during major events, correlates with global internet search trends. This suggests a potential link between collective human attention and physical systems, offering practical forecasting applications.

Keywords:
ConsciousnessGlobal consciousness projectGoogle trendsInternet searches

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Area of Science:

  • Parapsychology
  • Data Science
  • Physics

Background:

  • The Global Consciousness Project (GCP) hypothesizes that major world events eliciting widespread emotion can influence hardware random number generator (RNG) output.
  • This challenges conventional physics, suggesting a potential mind-matter interaction at a distance.

Purpose of the Study:

  • To objectively test the GCP hypothesis by correlating RNG data with global internet search trends.
  • To determine if collective emotional responses, reflected in search behavior, align with anomalies in random data.

Main Methods:

  • Utilized Google Trends data to create search indexes reflecting global information-seeking behavior.
  • Employed time series statistics to correlate these search indexes with aggregated GCP random number generator data.
  • Developed statistical models to assess the predictive power of GCP data.

Main Results:

  • Found significant correlations between GCP data and internet search trend indexes.
  • Demonstrated that incorporating GCP data improves the in-sample fit of statistical models.
  • Showed that GCP data enhances the accuracy of out-of-sample forecasts.

Conclusions:

  • Results support the validity of the Global Consciousness Project hypothesis.
  • GCP data shows practical utility, particularly in improving forecasting accuracy.
  • The study indicates a potential connection between collective consciousness and physical systems.