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.
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.
 uses information such as middle-finger-to-ring-finger length ratios (digit ratio), an indication of testosterone levels, and personality type matching assessments, such as by asking people "do you like to count things"; counters have high dopamine levels and tend to be the "explorer type".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.“The heavy emphasis on profile browsing at most dating sites has considerable downsides, and there is little reason to believe that current compatibility algorithms are especially effective,” explained the team behind an article published in .These algorithms take personal information, such as your interests, and push the data through a computer to calculate a couple’s degree of compatibility (or lack of).Services like Gene Partner offer DNA tests to check for genetic compatibility, while Ok Cupid’s matching algorithm is powered by a user-generated personality test. In this study, Wedekind had a group of female college students smell T-shirts that had been worn by male students for three nights, without deodorant, cologne or scented soaps.