For the startling, and eerily similar, analysis of apparent Pennsylvania vote manipulation, please see this post.

I’ve retrieved all of The New York Times‘ 2020 presidential datasets, which have a time-series of voting data from a company called Edison Research. Here, for instance, is Georgia‘s.

What I found is pretty fascinating, especially because it mimics exactly what happened in Pennsylvania.

As just one example, here is a graph depicting the shifts in votes starting on election day. The X-axis is the date/time and the Y-axis represents the change in votes (positive values denote shifts for Trump, negative values represent shifts for Biden, in hundreds).

May I call your attention to the differences between the left and the right sides of the graph?