Tinder Experiments II: Dudes, you are probably better off not wasting your time on Tinder — a quantitative socio-economic study unless you are really hot

Tinder Experiments II: Dudes, you are probably better off not wasting your time on Tinder — a quantitative socio-economic study unless you are really hot

This research had been carried out to quantify the Tinder prospects that are socio-economic males in line with the percentage of females that may “like” them. Feminine Tinder usage information had been gathered and statistically analyzed to determine the inequality into the Tinder economy. It absolutely was determined that the underside 80% of males (with regards to attractiveness) are contending for the underside 22% of females and also the top 78percent of females are contending for the utmost effective 20percent of males. The Gini coefficient when it comes to Tinder economy according to “like” percentages ended up being determined become 0.58. Which means the Tinder economy has more inequality than 95.1per cent of all world’s nationwide economies. In addition, it was determined that a person of typical attractiveness will be “liked” by about 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

During my past post we discovered that in Tinder there clearly was a difference that is big 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). To work on this, I made the decision to deal with Tinder as an economy and learn it as an economist (socio-economist) would. Since I have wasn’t getting any hot Tinder dates I experienced the required time to accomplish the mathematics (which means you don’t have to). Read more