Tinder Experiments II: Dudes, until you are actually hot you are probably best off maybe not wasting some time on Tinder — a quantitative socio-economic research

Tinder Experiments II: Dudes, until you are actually hot you are probably best off maybe not wasting some time on Tinder — a quantitative socio-economic research

This research had been carried out to quantify the Tinder socio-economic leads for men in line with the portion of females which will “like” them. Feminine Tinder usage data was gathered and statistically analyzed to determine the inequality when you look at the Tinder economy. It had been determined that the underside 80% of males (when it comes to attractiveness) are contending for the underside 22% of females therefore the top 78percent of females are contending for the most effective 20percent of males. The Gini coefficient for the Tinder economy predicated on “like” percentages ended up being determined become 0.58. Which means that the Tinder economy has more inequality than 95.1per cent of the many world’s nationwide economies. In addition, it absolutely was determined that a person of typical attractiveness could be “liked” by roughly 0.87% (1 in 115) of females on Tinder. Additionally, a formula ended up being derived to calculate a man’s attractiveness degree on the basis of the portion of “likes” he gets on Tinder:

To determine your attractivenessper cent follow this link.

Introduction

In my own past post we discovered that in Tinder there is certainly a big difference between the sheer number of “likes” an attractive guy gets versus an ugly man (duh). I needed to know this trend much more terms that are quantitativealso, i prefer pretty graphs). For this, I made the decision to deal with Tinder being an economy and learn it as an economist (socio-economist) would. Since I have wasn’t getting any hot Tinder dates we had enough time to complete the mathematics (which means you don’t have to). Continue reading “Tinder Experiments II: Dudes, until you are actually hot you are probably best off maybe not wasting some time on Tinder — a quantitative socio-economic research”