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>> No.20777335 [View]
File: 15 KB, 400x207, 1592567446132.png [View same] [iqdb] [saucenao] [google]
20777335

>>20777263

>> No.19806490 [View]
File: 15 KB, 400x207, global consciousness project RNG-coherence data.png [View same] [iqdb] [saucenao] [google]
19806490

>>19806437
Blue: Lots of people focusing on the same things
Red: Less coherence of focus than usual
You can't tell if what's happening is good or bad just from the dot, except that it is more likely that negative events capture the attention of many people

>> No.19720555 [View]
File: 15 KB, 400x207, global consciousness project RNG-coherence data.png [View same] [iqdb] [saucenao] [google]
19720555

>>19720389
Peer reviewed, repeatable experimentation has shown that human (and animal) consciousness can produce statistical deviation in random events. That is to say, the mind has been proven to influence reality. The random events (coin flips, computer random bit generators) are useful for experimentation because they can be modeled statistically, but the take-away is that our minds impact what happens in "non-random" events (all events are actually probability based rather than deterministic, but macro scale events like dropping a ball have very well defined probabilities that make it monstrously unlikely that something unexpected will occur rather than "gravity causes the ball to fall").

The GCP is built from a side-application of this research. When you take a random event generator (stream of 1s and 0s that statistically clusters at 50% probability) and watch its output during certain times when lots of people are focused on the same event, the data actually starts to become non-random. The GCP is a network of REGs that are sampled for deviation from random behavior across the entire network in order to detect coherence of mass attention. Essentially, it can detect if people are paying attention to the same thing in large numbers because the devices start to produce data that is statistically highly likely to be non-random.

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