This month, being the first of the 2014 year, has proven to be a big one in terms of various dating sites and statisticians releasing articles which attempt to analyze and in some instances take advantage of the statistical data being offered by many online dating sites. It’s as if all these people suddenly realized that taking a page from OkCupid’s now defunct OkTrends blog could help to attract some more publicity.
Within the first few days of the new year, we have seen both Zoosk and PlentyofFish release some online dating statistics pulled from data on their own sites. I’ve already discussed the infographic in my Zoosk Profile Tips article.
In addition, the POF blog post here, discusses what the most ideal traits are that prospective date seekers are looking for in a relationship for both men and women. Not surprisingly those traits are mostly superficial, involving high salaries and good looks.
This article in Wired featured mathematician Chris McKinlay who after much frustration with online dating decided to start analyzing the data of OkCupid. Essentially, he looked at the questions portion of the site and grouped women by certain traits and how likely they would be to be attracted to him. By determining which groups would be more likely to date him, he was able to increase his efficiency by ignoring women that didn’t fall into his preferred demographics.
We’ve also seen a few statistics related online dating articles from NPR & The Wall Street Journal which were rather interesting; involving racial preferences, new dating apps Tinder and Lulu, and a review of an Economics related online dating book by Paul Oyer which I will be doing my own review in the near future.
- Odds Favor White Men, Asian Women On Dating App
- Quantified Men: Tinder, Lulu, And the Fallacy of Hot Dating Apps
- How Nobel Winning Economic Theories Can Help Your Online Dating
Online Dating Podcasts
In addition to the articles above, we also had a few online dating economics related podcasts this month distributed by the insightful NPR Planet Money podcast and one by the Freakonomics podcast which you can listen to in the embedded audio players below.
Dear Economist, I Need A Date [NPR Planet Money]
Reasons To Not Be Ugly [Freakonomics]
Online Dating Blog of the Month – January 2014
Since we are on the topic of dating statistics this month, it made sense to highlight a blog that I pay a lot of attention to and that is the Breaking the Online Dating Sound Barrier blog by Fernando Ardenghi linked to above.
Fernando’s blog which has been active for a number of years now is highly focused on examining and pointing out the flaws in many online dating website’s matching algorithms. In addition, he also working on developing his own style matching algorithm which is focused on strict personality similarity which he calls the Life Project Method.
I highly recommend checking out his blog and reading up on some of his posts which outlines the many flaws in the current dating matching algorithms.