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it is not hard to think of more serious ones. Take, for example, attempts to assess whether differences in cross-cultural norms increase the transaction costs of international business. It would be very easy to use this data to answer this question.
Another way the data could be used is to assess cultural variation *within* countries. The authors have already tried their hand at this, showing that regional variation within the United States is less than in China, India, or Europe:pic.twitter.com/vhhs5Eu1JJ
And again, not hard to see fun applications of this approach: is their a correlation between within regional cultural distance in a country and social capital? Social trust? Violence? Voting?
I would not call this a *revolution* in cross cultural comparison. But once the data is online I see no reason why it should not be the standard data set for p. sci, sociology, and econ studies that want use cultural difference as their independent variable.
Finally, the whole method--importing the Fixation Index to a non-genetic context--is brilliant, and could easily be adapted to all sorts of political or sociological data. I am excited to see what people do with it.
Can it be used to identify subcultures within a population? For example, can it identify an "Evangelical?"
I skimmed the paper but I find this particular plot quite puzzling. Why is there no overlap between these regions? Why, within Europe, are similar countries like Romania and Bulgaria so far from each other?
@BradyHaran this seems like scientific validation of what you and @cgpgrey (tagging in spite of project 
) mentioned on @HelloInternetFM: the US has relatively low cultural variation vs. Europe, China, or India
This is some very cool stuff! Do you know if the data are available for use by others yet? I'd love to see if this measure helps explain business cycle correlations
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