MIT PhD and Statistician Outlines Algorithmic Fingerprint Within Vote Data

This is very compelling. Dr.Shiva provides an MIT PhD analysis of MMichigan voting patterns; and the data reveals some irrefutable evidence of what has taken place behind U.S. voting systems. The video can be shortened to start at 18:00 BUT STAY WITH IT.

By looking at two specific metrics: (1) Republican straight party vote percentages [x-axis]; and (2) the percentage of people who voted for Trump without voting for a straight Republican ticket [y-axis]; mathematicians and data scientists (Phil Evans) are able to find the exact moment when natural voting patterns are manipulated by algorithmic triggers.