Attraction Analytics

I need a developer, a statistician, a psychologist and... a cosmetologist.


For years I've been interested in the "Ginger vs. Mary Anne" question: What criteria do different individuals use to prefer one attractive person over another?

If you walk down a hair-color aisle in the drugstore or leaf through a fashion magazine, you probably find different models more or less attractive. They're all "beautiful people" of course, but don't some seem to be "your type" while others aren't? Why is that?

As far as I know, there aren't studies or tools that address this. There have been projects to determine the "perfect average" of male and female attraction... But I'm looking for something that that ties to individuals with particular preferences.

What good would that be?

1) it's interesting
2) it might be useful in a dating site, to find who you're physically attracted to
3) it might be useful in a dating site, to warn you about a physical attraction. "You're not going to be able to assess this person's personality as a match or not because you're going to be blinded by your physical attraction."

What would this system look like?

You'd access the tool (through a website or such) and would be shown pairs of forced-choice head-shot photos of models of the gender you're attracted to. You'd rank one over the other. This would repeat and the statistician on the project team would have determined the best pairing algorithms -- high-high, high-low, etc.

The cosmetologist on the team would have developed a behind-the-scenes "impartial ranking" like you find with Pandora's "music genome project" and each photo would have multiple categories. (high cheekbones, arched eyebrows, bangs, whatever.)

Through the magic of programming and statistical analysis, the system would look at your preferences and find your personal top determining factors of attraction. "Eric, you like redheads, with 'prominent ears' being a secondary preference." Who knows?

That's the plan. So... How do we build it?


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