The psychology of dating in the technosexual era is a nice title and something I’ve been collecting stories about in my diigo group dating troubles. (diigo wants more money for it to be public, but you can look at this tag for most of it)
So my first reaction was… uhhh duhhh? Who doesn’t know this?
Tinder is hardly original, yet it has taken the mobile dating market by storm: despite launching only last year, an estimated 450 million profiles are rated every day and membership is growing by 15% each week. More importantly, and in stark contrast with the overwhelmingly negative media reception, Tinder has managed to overcome the two big hurdles to online dating. First, Tinder is cool, at least to its users.
Indeed, whereas it is still somewhat embarrassing to confess to using EHarmony or Match.com, Tinderers are proud to demo the app at a dinner party, perhaps because the alternative – logging off and talking to others guests – is less appealing.
As I also said… It switched from physical first & personality second to personality first & physical second during the first phase of the internet’s affect on mating. But then came the fightback, starting with social dating. Now all the big sites all have a social dating app of some kind.
I found the Guardian piece interesting because of one two things…
- Yes its absolutely right and its fair to say its still scratching at the surface.
- Its written by Tomas Chamorro-Premuzic!
You may wonder who on earth is he?
Let me refresh your memory…
This reminds me of a TV show we created a couple of years ago; we profiled over 3,000 singletons using state-of-the-art psychological tests and created 500 couples based on psychological compatibility… but ignored looks and race. When the couples finally met – even though they trusted the science of the matching process – they were 90% focused on looks and only decided to date a second time if they were deemed equally attractive or worthy of each other’s looks.
Clearly, psychologists have a lot of work to do before they can convince daters that their algorithms are more effective.