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Old 03-15-2019, 09:14 PM   #440
Disco King
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Another study:
https://www.businessinsider.com/onli...tistics-2013-7

This one looks at the inequality of how men's likes are distributed amongst women, and how women's likes are distributed amongst men on the dating app Hinge. A small percentage of men get most of the likes, while likes are distributed more evenly amongst women. Comparing likes to income, women face a market with a Gini coefficient close to something like Germany's, while men face a market with a Gini coefficient more unequal than most of the world's economies.
https://qz.com/1051462/these-statist...n-dating-apps/

Quote:
Q. How does this inequality compare to the inequality women face on dating apps? Is there an analogy you can use to better explain it?

A. I recently saw a post on Medium that considered incoming likes as a sort of currency. Every nation in the world has a currency, but that currency is not equally distributed amongst the citizens of every country. These economic inequalities are described using what is called the Gini index.

In our context, the closer the Gini index is to 0, the more equally likes are distributed across all of our users; a higher Gini index rating means more likes are being concentrated into fewer recipients.

The guy that wrote that post only had a couple dozen data points, but since I have access to many orders of magnitude more, reading his write-up made me curious as to what would happen if I reproduced his work using our data.

It turns out that, as it pertains to incoming likes, straight females on Hinge show a Gini index of 0.376, and for straight males it’s 0.542. On a list of 149 countries’ Gini indices provided by the CIA World Factbook, this would place the female dating economy as 75th most unequal (average — think Western Europe) and the male dating economy as the 8th most unequal (kleptocracy, apartheid, perpetual civil war — think South Africa).
https://hingeirl.com/hinge-reports/w...owth-engineer/

 
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