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Measuring Sin, Statistically

 

Geographers from Kansas State University took data and derived sin maps for the infamous Seven Deadly Sins.

The darker a county, the more evil it is. What follows is their methodology:

Greed was calculated by comparing average incomes with the total number of inhabitants living beneath the poverty line.

Envy was calculated using the total number of thefts - robbery, burglary, larceny and stolen cars.

Wrath was calculated by comparing the total number of violent crimes - murder, assault and rape - reported to the FBI per capita.

Lust was calculated by compiling the number of sexually transmitted diseases - HIV, AIDS, syphilis, chlamydia and gonorrhea - reported per capita.

Gluttony was calculated by counting the number of fast food restaurants per capita.

Sloth was calculated by comparing expenditures on arts, entertainment and recreation with the rate of employment.

Pride, lastly, is most important. The root of all sins, in this study, is the aggregate of all data. Vought and his Kansas colleagues combined all data from the six other sins and averaged it into an overview of all evil.

Notice how light the midwest is compared to, say, the south. Two lessons to draw from this: don't pick a spouse from Mississippi (see the Lust map and its methodology), and South Carolina is really conflicted.

You might not agree with the reasoning applied, but it's interesting to consider - especially since this is data-driven.

 


BeatCanvas.com, an Iowa Art Blog, by artist Brett Rogers, 5/12/2009 3:08:31 PM
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