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What about adult dating websites and profiles?

If you are a Garrison Keillor fan, you have probably heard about the fictional Lake Wobegon on National Public Radio, where “all the women are strong, all the men are good-looking, and all the children are above average.” In the online dating community, similar rules apply: in one study, only 1 percent of online daters listed their appearance as “less than average.”

Rationale for Falsehoods
Why so much inaccuracy? One theory, formulated in the late 1980s and early 1990s by Sara Kiesler and her colleagues at Carnegie Mellon University, suggests that by its very nature “computer-mediated communication” is disinhibiting, causing people to say just about anything they feel like saying. Because people typically use screen names rather than real ones, their ramblings are anonymous and hence not subject to social norms. There are also no physical cues or consequences–no visible communication gestures, raised eyebrows, grimaces, and so on–to keep people’s behavior in check. As a result, online daters tend to construct what Ellison and her colleagues Jennifer Gibbs of Rutgers University and Rebecca Heino of Georgetown University call an “ideal self” rather than a real one. A study published recently by Ellison and her colleagues even suggests that online daters often regret it when they do tell the truth, feeling that too much honesty, especially about negative attributes, creates a bad impression.

There are also straightforward, practical reasons for lying. One recent study showed that men claiming incomes exceeding $250,000 got 151 percent more replies than men claiming ?incomes less than $50,000, for example. Many women are quite open about listing much younger ages, often stating in the text of their profiles that they have listed a younger age to make sure they turn up in searches. (Because men often use age cutoffs in their searches, women who list ages above that cutoff will never be seen.)

My research assistant Rachel Greenberg and I have examined the age issue by plotting a histogram of the ages of 1,000 men and 1,000 women selected at random from the national database of Match.com, arguably now the largest of the online matchmaking services. We speculated that from age 29 on–the point at which people in our culture tend to become sensitive about growing older–we might see some distinctive patterns in the distribution of ages. For men, a small spike appeared in the ?distribution at 32 and a large one at 36. The number of men calling themselves 36 was dramatically higher than the average frequency of men between the ages of 37 and 41.

For women, we found three clear age spikes at 29, 35 and 44. The difference between the number of women claming to be 29 and the average frequency of women claiming to be between ages 30 and 34 was nearly eight times larger than we would expect by chance. Apparently women at certain ages are reluctant to reveal those ages–and certain numerical ages are especially appealing, presumably because our culture attaches less stigma to those ages.

Tests That Fail
I have been a researcher for about 30 years and a test designer for nearly half those years. When I see extravagant ads for online tests that promise to find people a soul mate, I find myself asking, “How on earth could such a test exist?”

The truth is, it doesn’t.

For a psychometric evaluation to be taken seriously by scientists, the test itself needs to clear two hurdles. It needs to be shown to be reliable–which means, roughly, that you can count on it to produce stable results. And it needs to be shown to be a valid measure of what it is supposed to be measuring. With a test that matches people up, such validity would be established by showing that the resulting romantic pairings are actually successful.

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