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Look more closely, though, and there are two transitions, which coincide with big birthdays. The first is at 30, where the trend of male ages dips below parity, never to cross back. The data is saying that until 30, a woman prefers slightly older guys; afterwards, she likes them slightly younger.

Wooderson, the character played by Matthew McConaughey in the film Dazed and Confused, apparently spoke for all men when he said: They stay the same age. Here are the top five phrases for white men and white women:. Ween a prog-rock band and mudding where you drive a car or four-wheeler through For comparison, here are the words for a few other large groups on OkCupid:.

These are the words people in the UK disproportionately use in talking about themselves. Every dating site has to have a way to measure how good-looking its users are. Unfortunately, despite our efforts, people still gravitate to the best-looking people. Here are messages received each week, versus beauty:.

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The sharp increase at the right smashes down the rest of the curve, so its true nature is a bit obscured, but from the lowest percentile up, this is roughly an exponential function. So for all you thoughtful folks out there, we have 7 tips that we shared with the App Store that make getting started on your profile a whole lot less intimidating, and a whole lot more—dare we say—fun.

Adding a caption to your photo gives potential matches a little more context—not to mention a possible conversation starter: Discovery helps you get noticed for the things you really care about. Someone would really judge you for little typo? No harm in a quick proofread.


The strengths of this book lie in its referencing and notation. This accounts for more than a third of the book. It is written in a narrative, breezy style that makes it readable, as well. Although I believe Nate Silver's book on the subject is far better, this book does serve a purpose. I believe this book can be best used as a tool for over-ruling the bad practices of despots and dictators.

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This book may serve as a reminder to how people misuse knowledge and power to their own favor. One person found this helpful. This is a well-written book best suited to two groups of people: Beyond that, though, this book doesn't have a lot to offer besides brief distractions. He intends it to be "a popularization of data and data science," which apparently means publishing a lot of "hey, this might be interesting" graphs to generate an audience.

It's a shame, because there is a lot of quality content here that with more effort and ambition could have been shaped into an inspiring example of what data can do to stimulate thought and action; instead we get mostly just entertainment well done, but entertainment nonetheless. Not exactly what the world needs from people with Rudder's skills. Big data has a bad name. It is used to spy on us and to convince us to buy things we do not need and, we discover after parting with our money, that we often do not want.

Nevertheless, big data - and the insight it gives into who we are - fascinates us. Christian Rudder is in a unique position to tell us a lot about ourselves.

Seven secrets of dating from the experts at OkCupid | Life and style | The Guardian

As a co-founder of OkCupid, he has access to the hearts and minds and politics and food and drink of millions of us. In Dataclysm, he slices, dices, and adds a bit of direction and wit to data that, he believes, reveals the inner soul of who we are. Here is a smattering of what you'll uncover in Dataclysm. Until age 30, women prefer slightly older guys.

OkCupid Relaunches OkTrends: A Beloved Blog That Tracks Online Daters' Fascinating Habits

After 30, they prefer them slightly younger. At 40, well let's say that men lose their appeal after they turn Women want men to age with them at least until age Men always want youth. People who are considered attractive by everyone are less appealing that those who are seen as unattractive by some.

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That is, having some flaw or imperfection actually makes you more attractive and appealing to others. Twitter may actually improve a user's writing because it forces you to wring meaning from fewer letters. The messages on OkCupid that get the most responses are short characters. To get to that brief message, most people edit, edit and edit some more. Then that same message is used over and over and over again. Remember the six degrees of separation?

Rudder reports that analysis of Facebook accounts shows that The more you share with mutual friends, the stronger the relationship. Couples who have a strong relationship tend to be the connecting point among very different groups of people - your partner is one of the few people you can introduce into the far corners of your life. People tend to overemphasize the big, splashy things: Sometimes they do not matter at all.

Often it is caring about a topic that is more important than how you view the topic itself. Race has less effect on how well you will get along with someone else than religion, politics or education. However, racism is still pervasive in whom you might prefer to interact with. On Facebook, every percentile of attractiveness gives a man two new friends.

It gives a woman three. Guess how that plays into employment interviews? White people tend to differentiate themselves by their hair and eyes. Asians by their country of origin. Latinos by their music. You get the idea - many strange but interesting relationships begin to pop out when you have mounds of data about many people who give up that data without the expectation that it is going to be used to figure out who we really are when no one is looking over our shoulder. Rudder provides a stimulating glimpse into what can be teased out of piles of data. I have to assume he knows how to analyze the data and how to interpret what the data says to him.

What he sees is sometimes distressing as in his conclusions about racism. However, it is always fascinating. As dating sites, Google, social media sites, the NSA? Or will it be used to hurt? Does it require laws? Or will people eventually turn away from companies that misuse the information we give them about ourselves? Look for more tidbits as social scientists dig deeper and deeper into big data.

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This and other reviews available at WalterBristow. The data in the early chapters and the analysis are really interesting, and reveal a lot about human nature. As I read it, I thought this book is so much better than other popular big data books.

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