Fair warning: we're about to objectify women, big-time.
Getting swamped with messages drives users, especially women, away.
So we have to analyze and redirect this tendency, lest Ok Cupid become
Every so often we run diagnostic plots like the one below, showing how many messages a sampling of 5,000 women, sorted by attractiveness, received over the last month.
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?
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.
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.
Let's look at what the ratings distribution might be for a couple famous people.
I imagine that for, say, the actress Kristen Bell it would be roughly like this: Ms.
Bell is universally considered good-looking, but it's not like she's a supermodel or anything.