If the wealth was equally distributed the graph would show a 45 degree line. The genders are plotted on different scales because of the eternal fact that men almost always make the first move, so women get many more unsolicited messages. Not to get personal again, but my own OkCupid photo shows a Burberry-dressed 27 year-old, strumming away on his guitar. This means the curve has a high correlation to an exponential fit. You can be of above average attractiveness and still only get liked by a few percent of women on Tinder. People do everything they can in their OkCupid profiles to make themselves seem awesome, and surely many of our users genuinely are. Second, all data is self reported. This whole post was inspired by an amusing graph we stumbled across while trying to answer the question Do taller guys have more sex? But as far as messages go, shorter women actually seem to get more attention: The amount the curve bends below the 45 degree line shows the extent of wealth inequality. These bold colors contain a subtle message: To do this, I decided to treat Tinder as an economy and study it as an economist socio-economist would. Figure 3 compares the income Gini coefficient distribution for nations and adds the Tinder economy to the list. I think this is the biggest flaw in this analysis, but currently there is no other way to analyze the data. Figure 2 shows the Lorenz curve for the Tinder economy compared to the curve for the U.
This means that the inequality in Tinder wealth distribution is larger than the inequality of income in the US economy. The more attractive the picture, the more likely it is to be out-of-date. Compare the 6' 0" woman to her 5' 4" counterpart: The proportions for women are more consistent over time: This is a by-age messaging distribution: Meanwhile, the proportion of men who message both women and other men holds fairly steady. This means that guys as they get closer to six feet round up a bit more than usual, stretching for that coveted psychological benchmark. It also turns out that older people also upload older photos: Female Tinder usage data was collected and statistically analyzed to determine the inequality in the Tinder economy. The genders are plotted on different scales because of the eternal fact that men almost always make the first move, so women get many more unsolicited messages. In this chart, throughout the teens and twenties, the male bisexual population is mostly observably gay men. On a somewhat humbling personal note, I just went back and looked at my own profile, and apparently I list myself at 5' 11". The Lorenz curve and the Gini coefficient. I asked them each several questions about their Tinder usage while they thought they were talking to an attractive male who was interested in them. Look at the graph to watch as people exaggerate more as they get older. Unsurprisingly, we found that it matters a lot, particularly for men. Until then, no lie: But when we looked into messaging trends by sexuality, we were very surprised at what we found. You can see it better when we overlay the implied best fit below pardon the technical language: By the end of our chart, 3 of every 4 bi males on OkCupid are observably straight. These bold colors contain a subtle message: Most modern cameras append text tags to the jpgs they take. You can also see a more subtle vanity at work: You would probably be better off just going to a bar or joining some coed recreational sports team. This self reporting bias will definitely introduce error into the analysis, but there is evidence to suggest the data I collected have some validity. People do everything they can in their OkCupid profiles to make themselves seem awesome, and surely many of our users genuinely are. Note that the y-axis is in log scale and the curve is fairly linear.
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