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These graphs are adjusted for race, location, age, profile completeness, login activity, and so on—the only meaningful difference between the people plotted is their looks.

After running a bunch of these, we began to ask ourselves: what else accounts for the wide spread of the x's, particularly on the "above-average" half of the graph? What is it about her: that gets more attention than her: ..though according to our users, they're both good-looking?

Maybe for some guys our hypothetical woman is the cat's pajamas and for the rest she's the cat Garfield. As it turns out, this distribution of opinions is very important.

With this we can translate into how much attention she actually gets.

It turns out that the first step to understanding this phenomenon is to go deeper into the .

But something extreme like this could just as easily be going on: If all we know is that she is a 7, there's no way to tell.

The less-messaged woman was usually considered consistently attractive, while the more-messaged woman often created variation in male opinion.

Here are a couple more examples: We felt like were on to something, so, being math nerds, we put on sweatpants. Our first result was to compare the standard deviation of a woman's votes to the messages she gets.

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