After watching the MIT Dr. Shiva video on vote data analysis, along side other analytics and I came across a realization.
The 10-15 point Biden landslide "polls" were predicting was supposed to happen, it was calculated out.
But there were SO many registered Democrats that /1
actually voted for Trump, things didn't go so cleanly.(and of course super turnout on new voters, but in this case D votes are important).
Dr. Shiva's analysis shows that vote switching was done by an algorithm, and the more R a district is, the more votes that get switched. /2
Nov 9, 2020 • 13 tweets • 3 min read
If the system is untrustworthy, we shouldn't trust it.
Having damaged faith in a system we have vetted and corrected of corruption is FAR superior to having complete confidence in a lie.
This has to be obvious to some one of your position.
There is a lot of obvious red flags that cast shadows on the election BEFORE Trump said anything.
Many people, professional and private citizen alike, have since been digging. We have several forms of analytics that show clear anomalies in the battle ground states, favoring Ds.
