Datingxperiment venezuela dating culture

It was determined that the bottom 80% of men (in terms of attractiveness) are competing for the bottom 22% of women and the top 78% of women are competing for the top 20% of men.The Gini coefficient for the Tinder economy based on “like” percentages was calculated to be 0.58.The most important data I needed was the percent of men that these females tended to “like”.I collected this data by interviewing females who had “liked” a fake Tinder profile I set up.Second, most women can agree if a guy is really attractive or really unattractive.Women are more likely to disagree on the attractiveness of men in the middle of the economy.I wanted to understand this trend in more quantitative terms (also, I like pretty graphs).To do this, I decided to treat Tinder as an economy and study it as an economist (socio-economist) would.

I think this is the biggest flaw in this analysis, but currently there is no other way to analyze the data.To answer that question we are first going to need some data (and a nerd to analyze it).Tinder doesn't supply any statistics or analytics about member usage so I had to collect this data myself.In reality, the bottom 80% of men are fighting over the bottom 22% of women and the top 78% of women are fighting over the top 20% of men. The area in blue represents the situations where women are more likely to “like” the men.The area in pink represents the situations where men are more likely to “like” women.

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