Validating the GCP data hypothesis using internet search data.

Ulf Holmberg

February 2023

Synopsis of Social media discussions

The discussions frequently mention the correlation between emotional events and GCP outputs, reflecting an appreciation for the research's significance; words like 'supportive,' 'promising,' and 'needs further exploration' demonstrate nuanced engagement and recognition of its potential impact.

A
Agreement
 Moderate agreement

Most discussions acknowledge the validity of the study and its findings, indicating a general agreement with its conclusions.

I
Interest
 Moderate level of interest

Participants show moderate curiosity about how emotional events influence collective consciousness and GCP data, reflected in their analytical tone.

E
Engagement
 Moderate level of engagement

Many posts delve into methodological considerations and potential implications, suggesting a thoughtful level of engagement.

I
Impact
 Moderate level of impact

The discourse hints at recognizing the study's potential to influence future research and practical applications in forecasting and understanding collective emotional responses.

Social Mentions

YouTube

2 Videos

Twitter

1 Posts

Reddit

2 Posts

Metrics

Video Views

2,277

Total Likes

74

Extended Reach

3,417

Social Features

5

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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Analyzing the Impact of Emotional Events on Collective Consciousness Data

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653 views

  • Mary
    @bcastbloggers (Twitter)

    Validating the GCP data hypothesis using internet search data https://t.co/jwykVJbKEc
    view full post

    August 24, 2022

Abstract Synopsis

  • The study explores whether big emotional events influence both global internet search behavior and the output of the Global Consciousness Project (GCP), which hypothesizes that collective emotional responses can somehow affect random number generators, suggesting a mind-matter interaction.
  • Using Google Trends, the researcher created search indexes related to emotional responses and found that these indexes significantly correlated with GCP data, supporting the idea that emotional events may impact GCP outputs.
  • The findings imply that GCP data can improve forecasting models and that the project’s hypothesis might be valid, highlighting potential practical applications in prediction and understanding collective consciousness.