Is this intended to be a joke (perhaps poking fun at Dr. Shiva's downward sloping lines)? This is essentially 1-dimensional data (since Biden Percentage + Trump Percentage = 100 if 3rd parties get very few votes, so all data must lie on a line with slope of -1) plotted on a 2-dimensional plot with a red line thrown in for no apparently reason. This doesn't provide any evidence at all for who won.
Its proves it 100%. The evidence is HUGE. Really, what I aimed at showing was the top 200 Bell Weather Counties and their margins, pointing to Trump winning. Its a descriptive statistic, so no assumptions about data, just a plot. Make of it as you will. The red line shows the cutoff point. Red line is y = x, duh!
I will agree with that. As it seems that you do some research into this, I was curious if you may know a good way of detecting fraud at the county level. For instance, I was going to take a look at the historical correlations from past elections across lots of the counties and see if these correlations break down in this election. For instance, it seems there are a lot of interesting correlations that break down in this election. Florida and Georgia correlation is one of them. Upstate NY going more dem and Ohio/Iowa going more rep is another.
Is this intended to be a joke (perhaps poking fun at Dr. Shiva's downward sloping lines)? This is essentially 1-dimensional data (since Biden Percentage + Trump Percentage = 100 if 3rd parties get very few votes, so all data must lie on a line with slope of -1) plotted on a 2-dimensional plot with a red line thrown in for no apparently reason. This doesn't provide any evidence at all for who won.
Its proves it 100%. The evidence is HUGE. Really, what I aimed at showing was the top 200 Bell Weather Counties and their margins, pointing to Trump winning. Its a descriptive statistic, so no assumptions about data, just a plot. Make of it as you will. The red line shows the cutoff point. Red line is y = x, duh!
Sorry, I misinterpreted the title of the graph. There is some validity to the idea, but there is no reason to make a 2-D graph out of 1-D data.
I will agree with that. As it seems that you do some research into this, I was curious if you may know a good way of detecting fraud at the county level. For instance, I was going to take a look at the historical correlations from past elections across lots of the counties and see if these correlations break down in this election. For instance, it seems there are a lot of interesting correlations that break down in this election. Florida and Georgia correlation is one of them. Upstate NY going more dem and Ohio/Iowa going more rep is another.