He found that the more a republican a county is, the more republicans voted for Gop candidates, and against Trump.
But only after the first 20% or so of the vote was in. In the first 20% of the vote Trump was doing better than the Gop candidates on the ticket.
Comes to the conclusion that an algorithm is syphoning votes from Trump to Biden. In a predictable linear fashion after the first 20% of the vote is counted. And flips more votes in more republican counties in an almost perfect linear way.
It doesn't make sense because Trump was polling better than the Gop candidates before the election, and was popular with republican voters.
The tallying software has a weighted vote feature. Where votes can be weighted for example 2:1 for one candidate over the other. Thinks that this was kicked in after 20% of the vote was in. Which would produce a linear drop that the graphs show.
He found that the more a republican a county is, the more republicans voted for Gop candidates, and against Trump. But only after the first 20% or so of the vote was in. In the first 20% of the vote Trump was doing better than the Gop candidates on the ticket.
Comes to the conclusion that an algorithm is syphoning votes from Trump to Biden. In a predictable linear fashion after the first 20% of the vote is counted. And flips more votes in more republican counties in an almost perfect linear way.
It doesn't make sense because Trump was polling better than the Gop candidates before the election, and was popular with republican voters.
The tallying software has a weighted vote feature. Where votes can be weighted for example 2:1 for one candidate over the other. Thinks that this was kicked in after 20% of the vote was in. Which would produce a linear drop that the graphs show.