From Wikipedia: Benford's law, also called the first-digit law, is an observation about the frequency distribution of leading digits in many real-life sets of numerical data. The law states that in many naturally occurring collections of numbers, the leading significant digit is likely to be small...
Benford's Law is a technique to screen for fraud in a large number of numeric records. Let's apply this to the 2016 U.S. election:
The states are sorted by number of counties since Benford's law breaks down with fewer records. The last couple of rows of states have zig-zag lines, probably due to this. There are four interesting states that do not have low county counts:
- Virginia (VA) looks a bit off [Clinton won this state by 5%]
- Kentucky (KY), Iowa (IA), and Mississippi (MA) look a bit off [Trump won these states by 30%, 10%, and 19%, respectively]
- The dataset does not have records for Alaska, by the way.
Basically, the states with the oddest results were typically so lopsided as to scarcely matter.
An interesting observation is that the states with more counties clearly tilt toward Trump, while the states with fewer counties clearly tilt toward Clinton. Why might that be? Maybe the number of counties in a state is a proxy for average population size per county. If true, then the Clinton vote should correlate with the county population size. Does it? Indeed, the correlation is 35%.
Perhaps a theme to the election was the divergent preferences between counties with high populations versus the rest of the country. That suggests a potential solution: density-based laws, which might effectively be the return of city-states cooperating under one national flag. Individuals could pick their preferred city based on its basket of laws, obviating the imposition of a heavy blanket of laws from a national government that seesaws left and right, alienating an alternative half of its citizens each cycle.
Maybe the Constitution even effectively implemented this flavor of federalism in 1789, since state populations were then the size of present day cities. Just food for thought, let's not get carried away.