Hey Liberty 1789, this exactly supports my observations. I would like to get your comment on this: Using the method of total votes vs. votes each, the precincts can be arranged in any random order and it will produce a "noisy", "jaggedy", "erratic", etc. looking line for Romney. But when the precincts are arranged in order from lowest vote total to highest, the curve is inexplicably "smooth." I concluded that this could not be natural, but rather had to be created by a computer algorithm. There's simply no reasonable alternative explanation.
This is critical and your intuiton is on the right track. I'll put it as simply as I can.
A visually straight line on the charts I publish is rarely perfectly straight. It joins points which are not perfectly aligned. The differences between the real points and the straight line that best fits them can absolutely be described a white noise. t-stat measures directly how stable is the slope of the line joining the points, how much if it "vibrates" along its general direction. F factor is even smarter in some ways: it measures if all those points which are not perfectly on the line are normally distributed away from it: more points closer than far way from the line, if you will.
On segment of lines where the vote flipper I suspect is active, something extraordinary happens: the nature of the white noise is totally transformed! T-stat is up 5/10 times, F factor sometimes 20-30 times. This all indicates that the slope is not natural. it has been "smoothed" by the vote flipping. It vibrates much less and points next to the line are much closer than before, with fewer outliers.
What happened is this: you're mixing the original, "natural" line with normal white noise to a perfect straight line with no noise. The combination has therefore massively less noise than the original. t-stats and F factors shoot up : the straighter the line, the higher they go. And they shoot up massively. The radical change in the noise is a proof of tampering! What one calls a mathematical fingerprint!
Another point: I have not seen yet a big F factor (>500) on its own: if the white noise is gone from 1 line, there is always another one where the noise is gone as well. Algorithmic vote flipping would do precisely that.