Which variable was that? You can't just cherrypick an specific data point and say that this invalidates the rest of the data. it doesn't work that way.
Like what? I see no error in their conclusion. The numbers do not lie. The government spending data is not evenly and randomly distributed among the states. Politics are involved which is the point of their conclusion.
Ignoring the scientifically useful data they also presented. You seem to have no problem with ignoring data that you dislike.
Not at all. Bell curves is endemic to sociology, in grading papers, and other social analysis where data is evenly distributed. But in scientific analysis, data is most often not randomly distributed. Moreover a bell curve assumes we have an equivalent number of people above and below average, and that there will be a very small number of people two standard deviations above and below the average (mean). There is nothing about the government spending data presented that fits a bell curve.
Research conducted in 2011 and 2012 by O’Boyle and Aguinis found that performance in 94 percent of these groups did not follow a bell curve distribution.
The Myth of the Bell Curve
The Bell Curve, That Great Intellectual Fraud
Early sociologists were seeking proof of the orderliness of society. Relying on the justifiably great prestige of Laplace and Gauss as mathematicians, they took the bell curve as proof of the existence of order in the seemingly chaotic social world. Unfortunately, the early social scientists often had a poor understanding of the fact that the mathematical formulas of Gauss and Laplace were based on assumptions not often met in the empirical world.
The myth that social variables are normally distributed has been shown to be invalid by those methodologists who have taken the trouble to check it out. Its persistence in the folklore and procedures of social institutions is a reflection of institutionalized bias, not scientific rigor.
Mathematics and statistics disagree with you.