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Why was there a difference in Wayne County? There was no slope at all, looked like a random spread of data.
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As you move to the right however, relative consistency should still exist. Slope possibly in either direction, or more likely a scatter plot with ridiculously inconsistent R^2 correlation. There can’t be consistency to 20 to 25 percent then a cliff.
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The data for Macomb & Kent would fit a straight line at least as well as they fit with the kink (just eyeballing it). It is only Oakland where the data really suggests a kink. I would argue if there is an anomaly it is below 20%, not above, based on this:
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Replying to @va_shiva
Simple model: Dems vote straight D, Reps vote straight R, and Independents vote a mixed ticket. x-axis measures number of R compared to D. y=i-x, where i is % of Indep who vote for Trump. i should be approx indep of x, so slope should be about -1. Actual slope is approx -0.6.
This simple argument shows that the slope could reasonably be even steeper without it being fraud:
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Replying to @va_shiva
Simple model: Dems vote straight D, Reps vote straight R, and Independents vote a mixed ticket. x-axis measures number of R compared to D. y=i-x, where i is % of Indep who vote for Trump. i should be approx indep of x, so slope should be about -1. Actual slope is approx -0.6.
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y= Trump%-x If y fluctuates around a constant c, then trump%=x+ c +σ If we assume x spans 0 to 100%, then the following should be satisfied: a) trump%=0+c+σ →c has to be non negative b) trump%=100%+c+σ →c has to be non positive But did Rep gets 100%?
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