A women-centric new app that launched this past Fall, Bumble is similar to the Tinder format except that women need to make the first move 24 hours after a match is made or the connection disappears forever.
So far a great app with a good design, and since it launched internationally, you can end up matching with someone across the country.
It grades on a scale of A to F, based on things like your messages and pictures.
It’s a great way to weed out the creeper messages that women tend to get more, but also promotes better online dating behavior and not hiding behind a profile.
Download this podcast SARAH GREEN: Welcome to the HBR Idea Cast. I’m talking today with Paul Oyer, Professor of Economics at Stanford’s Graduate School of Business. SARAH GREEN: So Paul, I’d like to just kick off by talking a little bit about the economic concept of search costs.
He’s the author of the book, Everything I Ever Needed to Know About Economics I Learned from Online Dating. Can you just maybe describe what the concept is and how you’ve applied it to this idea of looking for a life partner?
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.
So there's something to really be had in this kind of thinking.Online dating does work for people and it does work exceptionally well for niche groups.By joining websites that have a more specific drive towards partnering up such as "geek2geek" you will find people who have more in common with you which means you already start off better than you had prior.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.