Dataclysm: Who We Are (When We Think No One's Looking) by Christian Rudder

Author:Christian Rudder [Rudder, Christian]
Language: eng
Format: epub
Tags: Non-Fiction
ISBN: 9780385347389
Amazon: B00J1IQUX8
Publisher: Crown Publishers
Published: 2014-09-09T07:00:00+00:00

I’ve talked about race a lot so far, and I’ve done so, as I’ve said, because it’s something rarely addressed analytically. And the data I have is ideal for tackling taboos. But sex is the single most important grouping that humanity has. It’s existed forever, even stretching back to when we were just one people, and perhaps because of those deep-time roots, gender roles are more universal and more stubborn than any other. It’s easy to forget, given how ineradicable the color line can seem, that ideas of race are a product of time and place. The Irish and eastern Europeans weren’t considered “white” until the 1900s; in Mexico, the indigenous Mayans and the mestizos with Spanish blood have been distinct ethnic groups (and political opponents) for centuries. Yet to most people from the United States, they’re both just “Hispanic.” But sexual division is a given in human culture—every culture, every time.

Paradoxically, OkCupid isn’t the best place to explore the differences between men and women, at least through the method we’ve developed here. Your sex is built into how you use a dating site, so, for example, the most salient thing you find about (straight) women from their profile text is that they’re looking for men, and so on. Sex and profile text are inextricable, and analysis gets you little more than tautologies. The ideal source for analyzing gender difference is instead one where a user’s gender is nominally irrelevant, where it doesn’t matter if the person is a man or woman. I chose Twitter as that neutral ground. The lists below were made using the same math as the OkCupid lists above, but they use the text from users’ tweets.

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