The problem at the Chainsaw Sisters Saloon was not the very low odds; it was the extended investment of time required to achieve success.
If you had a one-in-100 chance (1/100) to take someone home, you'd need 100 trips to the bar, on average, to accomplish your mission.
This adds a bit of a twist to big data's role in big dating.
Setting people up The governing philosophies of most dating sites are rooted in either setting people up based on the idea that both people are either alike or that their differences complement one another.
EHarmony, for example, was founded by a clinical psychologist who felt most marriages that ended involved people whose personalities were too different.
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A generation ago, most young men would have considered happy hour at the Chainsaw Sisters Saloon a target-rich environment. Most importantly, while the odds of "getting lucky" were low, they were nonzero.
So even if she said, "You're more likely to get struck by lightning than to go home with me," he could answer, "Awesome! " Millennials empirically know that bar crawling is for recreation -- not for archaic, time-wasting, low-percentage mating rituals.Then along came online dating, which suggested a less mystical view of the matchmaking process.Dating sites offer the lovelorn access to millions of singles just a few clicks away, plus proprietary algorithms to help narrow the field to a shortlist of candidates for the ideal mate.That is completely false.” There is no evidence, Finkel said, that dating sites do anything much more than increase the pool of potential partners, and with that the odds of finding a match.The industry, he said, wants singles to believe online dating is not just an alternative to dating in real life — it wants them to believe that it’s better. Or, as Stanford sociologist Michael Rosenfeld put it, “The algorithms for matching at dating websites are mostly smoke and mirrors.” In 2012, Finkel and four other psychologists specializing in the study of human relationships published a paper in the journal Psychological Science in the Public Interest that put forward this theory.Thod Nguyen, CTO of e Harmony, describes its approach as a compatibility matching system consisting of a "very sophisticated three tier process." A compatibility matching model identifies potential matches based on a proprietary 29-dimensional array.