Scientist dating service
I ended up back at bachelorhood after a long and expensive trek through computer-aided love services; I decided to look for love on the Internet mainly to test the hypothesis behind a blistering 50-page critique of hyped up promise of dating websites.
— and what do you absolutely need for your relationships to work — a sense of humor, cooking skills, an appreciation for '90s cinema? Obviously, no one likes to hang out with a wet blanket, so "be fun" may not sound like totally revolutionary dating advice.It’s a funny assumption, because even the bleeding edge of social science, which arguably has access to a lot more accurate data than e Harmony, is really quite bad at predicting human behavior.The normally poor state of social forecasting is compounded by the fact that individuals, in general, are terrible at knowing what they want in a significant other.Some sites, like match.com, allow users to specify how important each attribute is.Each matching attribute is assigned a different weight depending on how important it is to the user.By having singles send in saliva samples, the site facilitates a laboratory analysis of each person's immune system type and, using this data, claims to create optimized “physical chemistry” or "sexual chemistry" between people based on the sweaty T-shirt study, a pattern, discovered in 1995, which finds that people are most attracted to the smell of people who have the most-dissimilar immune system.
 The site was conceived by Holzle, a long-time internet site dater, after watching a TV discussion on the findings of the sweaty T-shirt study.
The theory of desired dissimilar immune system matching can be quantified according to markers on a person’s major histocompatibility complex (MHC), a large gene region that controls the immune system response, and postulates that couples attracted to this type of scent owing to the result that a resultant child would create a more robust immune system, more defensive against a greater variety of pathogens.
In the mid 1970s, MHC-dissimilar tendency matching was shown to be the case for mice (and later for other animals such as fish) and in 1995 Swiss biologist Claus Wedekind, creator of the sweat T-shirt study, proved that the pattern holds for humans.
In essence, the researchers had ripped apart the unscientific claims of dating websites with three compelling arguments 1) no one knows the recipe for love, so a man-made algorithm can’t fare any better 2) scanning profiles leads us to select on superficial traits, and 3) online communicating is a really bad way to start off a love affair. Impossible Claims From Algorithms “We might compare the understanding and prediction of romantic outcomes to attempts to understand and predict the stock market,” the research asserted.
“Although economists know a great deal about how the stock market behaves and why, attempts to predict the behavior of the market at a specific point in the future have limited accuracy.” If you think about it, dating sites basically claim to predict the future, arguing that they have a crystal ball with a higher probability of users ending up in romantic utopia.
Then the site will match you with highly educated brunette sooner than a blonde who didn't finish high school.