Singles browse profiles when considering whether to join a given site, when considering whom to contact on the site, when turning back to the site after a bad date, and so forth.
The Scientific Flaws of Online Dating Sites - Scientific American
The answer is simple: A series of studies spearheaded by our co-author Paul Eastwick has shown that people lack insight regarding which characteristics in a potential partner will inspire or undermine their attraction to him or her see here , here , and here. The straightforward solution to this problem is for online dating sites to provide singles with the profiles of only a handful of potential partners rather than the hundreds or thousands of profiles that many sites provide.
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But how should dating sites limit the pool? Here we arrive at the second major weakness of online dating: These claims are not supported by any credible evidence.
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The first is that those very sites that tout their scientific bona fides have failed to provide a shred of evidence that would convince anybody with scientific training. The second is that the weight of the scientific evidence suggests that the principles underlying current mathematical matching algorithms—similarity and complementarity—cannot achieve any notable level of success in fostering long-term romantic compatibility. It is not difficult to convince people unfamiliar with the scientific literature that a given person will, all else equal, be happier in a long-term relationship with a partner who is similar rather than dissimilar to them in terms of personality and values.
Nor is it difficult to convince such people that opposites attract in certain crucial ways.
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Indeed, a major meta-analytic review of the literature by Matthew Montoya and colleagues in demonstrates that the principles have virtually no impact on relationship quality. Similarly, a 23,person study by Portia Dyrenforth and colleagues in demonstrates that such principles account for approximately 0.
To be sure, relationship scientists have discovered a great deal about what makes some relationships more successful than others.
For example, such scholars frequently videotape couples while the two partners discuss certain topics in their marriage, such as a recent conflict or important personal goals. Such scholars also frequently examine the impact of life circumstances, such as unemployment stress, infertility problems, a cancer diagnosis, or an attractive co-worker.
The Scientific Flaws of Online Dating Sites
But algorithmic-matching sites exclude all such information from the algorithm because the only information those sites collect is based on individuals who have never encountered their potential partners making it impossible to know how two possible partners interact and who provide very little information relevant to their future life stresses employment stability, drug abuse history, and the like. So the question is this: Can online dating sites predict long-term relationship success based exclusively on information provided by individuals—without accounting for how two people interact or what their likely future life stressors will be?
Well, if the question is whether such sites can determine which people are likely to be poor partners for almost anybody, then the answer is probably yes.
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Indeed, it appears that eHarmony excludes certain people from their dating pool, leaving money on the table in the process, presumably because the algorithm concludes that such individuals are poor relationship material. TrustYou searches, analyzes and distills hundreds of millions of opinions from verified reviews written across the Internet and structures this information into super digestible summaries, which we call Meta-Reviews.
Because Meta-Reviews provide an aggregate of all verified reviews, they naturally weed out the extremes to get down to the nuts and bolts of what travelers need to know about a property. High on service, low on amenities, high on location, low on parking, high on luxury, low on price, and so forth. It takes the work out of reviews for travelers.
Our review summaries are based on verified reviews from travelers. We then drill down these thousands and thousands of reviews into scores and keyword heavy summaries. Meta-Reviews provide travelers all of the information they need to make a booking decision, so it is no surprise that companies that incorporate Meta-Reviews onto their site see increased conversion rates.