Dating data blog
But Big, popular books about sociology have traditionally had big, popular ideas that carried them: Malcolm Gladwell’s "tipping point," Pierre Bourdieu’s invention of the term "cultural capital." The idea is that you do your research first, then craft a digestible thesis around it.If has a central idea embedded in it, it’s that it’s okay for the tech industry to scrape your data off every last surface you touch — and then to write sociology books about it.
But the founders’ backgrounds greatly influenced how they approached the problem of dating.
Four years later, OKTrends is back in book form with Rudder’s The original OKTrends blog was fascinating, less so for its observations about which profile photos were more likely to attract messages — which it did meticulously — than for its comments on larger issues of self-identification. "Looking at people like this is like looking at the Earth from space," he writes. This is, Rudder writes, "a series of vignettes"; you’ll find very little analysis in .
In one widely-shared post, Rudder created word clouds based on how users describe themselves, indexed by race and gender. "You lose the detail, but you get to see something familiar in a totally new way." Armed with that sense of wonder and a sharp enthusiasm for the data he’s collected, Rudder tackles a range of subjects in three sections, each containing dozens of lovely two-toned graphs: What Brings Us Together (dating and sexual attraction), What Pulls Us Apart (social and political fractures), and What Makes Us Who We Are (how we self-identify). Rudder’s writing skirts politically charged topics, oftentimes connecting the data to his own personal experiences or paving the way for a block quote cribbed from a liberal arts syllabus.
“A lot of other dating sites are based on psychology,” Yagan said.
“The fundamental premise of a site like e Harmony is that they know the answer.
On OKTrends, Rudder made ample use of his Harvard math degree, pumping out pie charts and line graphs to bolster observations like, "heavy Twitter users masturbate more often" than light Twitter users and "black people are more than twice as likely to mention their faith in their profiles" as people who identify as white, asian, or hispanic.