The following thread demonstrates and shows statistical anomalies that occurred with Trump votes being transferred to Biden by a computer algorithm at significant levels

This is the video link of the full analysis

two sets of data were analyzed, early voting and in person voting

two types of voting occurs:

voting for the individual candidate

or voting a straight Democratic or Republican ticket
System definition

Inputs into the voting system

Outputs of the voting systwm
Ballot images are digital records of the physical ballot scanned as a digital image

Ballot images are supposed to be saved - there are instances where they have been deleted in the past.

Federal election laws require ballot images be retained for 22 months - record of the vote
Vote transfer from Trump to Biden occurred mostly in Republican precincts

This was done algorithmically
The analysis focus on two metrics which is represented on the X & Y axis

X - straight Republican party vote

Y - calculation of individual Trump votes minus the Republican straight party vote

Each blue dot represents a precinct

this example shows 5% more voted for Trump
The left side of the graph represents predominantly Democratic precincts & the further right you move reflect more predominantly Republican precincts

These examples shows the normal pattern to expect & the second demonstrates if Trump is more liked than Republicans on the ticket
Here is the analysis from analyzing the data and plotting it on the graph with some assumptions based off of precinct information
Oakland County data

The left part of the graph represents precincts that are predominantly less Republican & more Democrat. Trump is performing better in these precincts by roughly 7%

as you move to the right, precincts are more predominately Republican
Common sense would dictate as if you move to the right on the graph the precinct votes should be trending upwards due to these precincts being predominately Republican
The data shows - 70% R's in predominantly Republican precincts voted straight R candidates at 70% but those same voters voted 20% less for Trump. This defys logic since these are heavy R precincts. Also to note - the votes do not go down randomly they go down linearly perfectly
In Wayne County which includes Detroit, a predominately Democratic County, Trump was doing 10% better in this county. It also appears that the algorithm was not used
"you could make the argument that even if you wanted to believe that Republicans hated Trump so much they still wouldn't be able to hate him in a perfect line"

Algorithmically

*** important note to remember, President Trump had an approval rating of 94% in the Republican party.
If Mitt Romney‘s statements were true it would be reflected in the following graph but what we see was something drastically different
If Trump lost support within the Republican Party it would be reflected in the top image.

The slope in each county is Universally the same across all three county's which is highly suspect.
In conclusion. This needs further investigation by the DOJ. I commend the team that did the analysis.

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