Message from @PenSHITLORD
Discord ID: 519222577277960203
If you worry about the right data I'll worry about the muh memory shit
fair enough.
It's largely a solved problem for toy examples like we're doing.
And we just need the right data
So, we need a what, and filter the nots.
Just parse filters that exist like bing's search by time shit
Another option is to parse twitter of all the sites interested since they typically whore out all their new material as it comes out.
I think it relates to if the vote counts in relation to senate races fall out of the normal tiers
Whats the final answer this needs to look for?
The probability of outcome by influence?
The probability of something happening at a certain time in a certain place.
Or two something happenings and two certain places if they're correlated or not
I'm in.
Hi in., I'm ∞!
Where do I sign up.
Im single now, and nothing left to lose.
I dont even know how to begin to express the problem.
Eh you're better off.
Well humans are intuitive creatures, and the predictability matrix of humans acrossed all platforms combined, can potentially predict future outcomes.
Question would be if they do predict it in unison.
You're thinking too complicated like.
It has to be something like, Q posts, next day an uptick in mockingbird output about things relevant to Qposts
Then there's like 10 outlets doing the same thing, impling there is some correlation
So word filter the MSM?
Yeah I guess.
Or hit up bing results for changes
Or scrape twitter for headlines
I feel like this is like reinventing google analytics.
Yep.
But we dont need the whole thing, just this one thing since Q pointed us this way.
Google made that source code proprietary right?
Of course they did and we can solve our own problems we just have to figure out the proper dataset to put into this system.
social media mainly...
No shit moron, but which vars are required from that datasource to put into our equation to get a meaninful answer.
social media and rss feeds
hold that thought.
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