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A neat idea, but peeling back into the computations, one has to worry. The details of calculations are suspiciously “mathy” - they are embarrassingly simple, bu
by spenczar5 2y ago
A neat idea, but peeling back into the computations, one has to worry. The details of calculations are suspiciously “mathy” - they are embarrassingly simple, but dressed up in fancier language that seems intended to impress and confuse.
For example, take the computation for (product) “Diversity”: https://atlas.cid.harvard.edu/glossary https://atlas.cid.harvard.edu/glossary
“Imagine a matrix, M_c,p, in which rows represent different countries and columns represent different products. An element of the matrix is equal to 1 if country C produces product P (with RCA greater than 1), and 0 otherwise. We can measure diversity (and ubiquity) simply by summing over the rows (or columns) of that matrix. Formally,
Diversity = k_c,0 = ∑_p (M_cp)”
This is an abstruse way of just saying “diversity is the number of unique products a country exports”. Which is fine! But why not say that?
This is a common thing in economics, and it should raise our suspicion that the systems are far less sophisticated, and just supposed to bamboozle us to see past the underlying poor assumptions.
- evnix 2y agoYou are in for a surprise, most fields have the exact same kind of people in academia. Computer science is probably the worst as it is actually close to mathematics. Mathematics too is the same, when you break some of the more recent papers down, you will notice most of it looks like some kind of cover up for what could be explained in few simple sentences. I wish there was a rule in publishing to including a section called "explained like you are 5" I notice a pattern, good papers have very little mathiness to them. The more research paper mill'ey they get, the more mathier they become.