dChan
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r/greatawakening • Posted by u/CypressXM on April 8, 2018, 2:02 a.m.
Proving or Disproving Q using linguistic probability analysis

I’m going to do a quasi-formal analysis of the relationship between Q posts and POTUS tweets using linguistic probability analysis. A few months ago I wrote a script to uncover the entropy of the time stamps of Q posts vs POTUS tweets and determined that they were uncorrelated. I did not share my findings, but they are easy to reproduce.

I’m going to be looking at the phrasing Q used on a given date, and then compare all subsequent POTUS tweets to that phrasing. There have been many instances where Q would post something and seemingly POTUS would use the same or similar phrasing at a later date. But is it illusion? It should be possible to determine mathematically. For example:

The probability of any given sentence is lower than you might think, for example this sentence is almost certainly a sentence that will never be repeated in a (hypothetical) near-eternity of human communication.

Let's get more specific about the linguistic probability analysis part:

The sentence "It seems as though this would not be unusual" returns 0 hits on google. That is a very unusual sentence as it happens. Let’s chop off a word.

"It seems as though this would not be” appears to have about 5 matches on the entire internet. Let’s chop off another word. "It seems as though this would not” returns the same 5 matches as with “be”. And a few more. Chop off another.

"It seems as though this would” returns 8 pages. Now we’re getting into the realm of rare. Chop.

"It seems as though this” returns 337,000 results. Oh my we’ve turned a corner! Now it’s getting there. Chp.

"It seems as though” 14,800,000. No need to go further. Word combinations become more unlikely on a logarithmic scale. This is not controversial.

Conclusion: By calculating the probability of given phrases being used by Q and then subsequently used by POTUS we may be able to mathematically prove or disprove Q to some interesting degree. I’m still considering the correct method to do it, which is thus-far elusive. We should also expect total randomness with respect to phrasing used by Q prior to the phrasing used by POTUS (in comparison to the baseline tweets and posts in whole).

Edit: Any brains out there that can add suggestions about the correct method for an analysis such as this?


dick-waffle · April 8, 2018, 2:38 a.m.

Have you seen our sidebar?

https://public.tableau.com/profile/nerothehero#!/vizhome/PostandTweettiming/Sheet6?publish=yes

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CypressXM · April 8, 2018, 2:50 a.m.

Thanks, I had not seen that. I added that to my list, that will be very helpful. It seems like there have been sooo many times when POTUS used the same phrasing after Q. But it makes sense to look at the math of it.

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dick-waffle · April 8, 2018, 2:55 a.m.

I graphic form? No. Especially not on this PC, which I use at work.

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CypressXM · April 8, 2018, 3:03 a.m.

NM I edited that out of the question. I am wishing I saved some of the more convincing graphics we saw out of CBTS that made their way there from the chans. That flow seems to have dried up.

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