Twitter is both nicer and smarter on the weekends. It's like going back in time. Hypothesis: the sort of people who start and join Twitter mobs use Twitter mainly to procrastinate at work.
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Actually the chart you show is very similar to an EEG pattern with occasional seizure activity. You see the same thing in detrended stock charts. The Twitter chart also appears to have the same cyclical characteristics I have found in individual human brain activity as well.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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The GCI data probably also has a fairly strong correlation to the Twitter data you have compiled.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Are you familiar with the Global Coherence Initiative Random Variance Data https://www.heartmath.org/gci/gcms/live-data/global-consciousness-project/ … What I have found is this supposedly "random" data has quantifiable cyclical characteristics that make its fluctuations forecastable 65-70% of the time.
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Indeed, I use the EGG as part of my protocols. It is highly accurate if used correctly as a predictor and precursor. This can be achieved locally with a IIED or world wide as EGG. Most folks glaze over on this stuff until it is in a product and useful. This is what I shall do.
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