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Nothing particularly interesting happened on that day, and that spike in followers was about 200 times what he was getting immediately before and after. Rudder dives further into social media data to show that Mitt Romney gained 18,860 new followers at 8 a.m. On an insignificant July morning, Mitt Romney gained 20,000 Twitter followers within a few minutes. Rudder has a few takeaways from beyond the realm of love, too…
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Still, the Northeast is relatively well-washed. Rudder has doled out some heavy info to ponder, so here’s some that’s a little lighter: in general, according to his research, in states where it’s hotter, people shower more where it’s colder, people shower less. Vermont doesn’t shower a whole lot, relatively speaking. Your Facebook Likes reveal can reveal your gender, race, sexuality and political views.Ī group of UK researchers found that based on someone’s Facebook Likes alone, they can tell if a user is gay or straight with 88% accuracy lesbian or straight, 75% white or black, 95% man or woman, 93% Democrat or Republican, 85%.ĩ. READ MORE 10 Rules You Need to Know to Communicate EffectivelyĨ. A little more digging showed that while from-scratch messages performed better by 25%, copy-and-paste messages received more replies per unit of effort. (For most users, it’s three characters typed for every one character sent.) In doing this analysis, Rudder found that up to 20% of users managed to send thousands of characters with 5 keystrokes or less-likely Control+C, Control+V, Enter. OkCupid tracks how many characters users type in messages versus how many letters are actually sent. Users who send copy-and-paste messages get responses more efficiently. But women who are Asian and Latina receive higher ratings from all men-in some cases, even more so than white women.ħ. Asian, Latin and white men tend to give black women 1 to 1.5 stars less, while black men’s ratings of black women are more consistent with their ratings of all races of women. …And black women are the least desirable racial group to men. So if a poll shows you that, for instance, 1% of a state’s population is gay, the other 4% is probably still out there.Ħ. Rudder cites a Google engineer who found that searches for “depictions of gay men” (by which the engineer meant gay porn) occur at the rate of 5% across every state, roughly the proportion of the world’s population that social scientists have estimated to be gay. Like any good data scientist, Rudder lets literature-in this case, Thoreau-explain the human condition. “Most men lead lives of quiet desperation and go to the grave with the song still in them.” For gay men, it’s 6.9%, and for lesbians, 6.9%. On OkCupid, 6.1% of straight men are explicitly looking for casual sex. Straight women are far less likely to express sexual desire than are other demographics.
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While men often set their age filters for women into the 30s and beyond, rarely do they contact a woman over 29.Ģ. Straight men think women have an expiration date.Īlthough women tend to seek men around their age, men of all ages are by far looking for women in their early 20s, according to OkCupid data. Here are 9 revelations about sex and dating, courtesy of Rudder, Dataclysm, and, of course, big data.ġ. READ MORE This App Can Tell If You’ve Been Naughty or Nice Based on Your Tweets Instead, the insights are ones that most of us would prefer not to think about: a racial bias against black women and Asian men, or how “gay” is the top Google Search suggestion for “Is my husband…. But the allure of Rudder’s work isn’t that the findings are particularly shocking. Rudder, a co-founder of OkCupid and Harvard-educated data scientist, analyzed millions of records and drew on related research to understand on how we search and scramble for love. Before we heighten the human experience, we should understand it first. And that, as Christian Rudder demonstrates in his new book, Dataclysm: Who We Are (When We Think No One’s Looking), is perhaps an equally worthwhile pursuit. It’s the big data that rears its ugly head and tells us what we don’t want to know. If you’re still up for it, there’s another side of Big Data you haven’t seen-not the one that promised to use our digital world to our advantage to optimize, monetize, or systematize every last part our lives.