Okcupid biggest lies online dating

“If I have some data and I have an idea for analyzing that data, the chances are good that someone in the R community has already written a program that does what I need,” says Max Shron, a data scientist at Ok Cupid. “There was a tremendous amount of data,” says Rudder.

This revelation isn’t exactly surprising, but it’s fascinating to see how Rudder and his merry crew of quants use the power of analytics to strip away the mythology and tell the real story.

One of the most interesting aspects of the blog is the size of the samples.

As much as I’m in favor of anything that improves the chances of finding true love (or any kind of love, for that matter), what fascinates me the most about Ok Cupid is Ok Trends, the company’s official blog.

Ok Trends Brings Big Data to the Masses Written largely by Christian Rudder, the company’s co-founder and editorial director, Ok Trends is a veritable treasure chest of sexy social insight generated through a highly creative mash-up of off-the-shelf and DIY analytic techniques.

R is an open-source language designed specifically for statistical analysis (see disclosure below).

Unlike some of the more widely used, proprietary, analytic tools, programs written in R can handle the larger and more complex data sets generated by Ok Cupid’s growing base of users.

Note: Neither Minelli nor Revolution Analytics has a business relationship with Ok Cupid.

Any millennial-ish-aged person who dates men is familiar with the smorgasbord of terrible ways they behave on dating apps — unsolicited dick pics, invasive questions, 180-degree turns from “nice guy” to slur-spewing monster in the time it takes to say, “Thanks, but I’m good.” But there’s a more insidious red flag on Tinder, Bumble, and the rest that's rarely discussed: that of the fun-loving liar."Down to lie about how we met," says the fun-loving liar’s profile.

That makes R a good choice for data scientists who are interested in pushing the envelope of traditional statistical analysis.

“R helps us get a quick overview of the data, which can save us a tremendous amount of time,” says Rudder.

Once we figure out what we’re looking for, and we start narrowing our focus, then we can move into Excel,” says Rudder.