At the end of last month, MIT Technology Review featured a story entitled “The hipster effect: Why anti-conformists always end up looking the same.” Plenty to get stuck into there, but it’s what happened next that caught people’s attention.
The article was accompanied by a stock photo of a hipsterish-looking individual (beard, check shirt, you know the sort of thing). According to Gideon Lichfield, this elicited a “furious email” to MIT Technology Review from someone who claimed to be the man in the photo – and objected to being the face of the article.
The irony was that, upon investigation, it was found that the model was somebody else. As Lichfield remarked, the episode just “proved the story we ran… Hipsters look so much alike that they can’t even tell themselves apart from each other.”
So, an everyday story of post-modern folk, which of course went viral. However, I hope people also read the original article, which is a write-up of a fascinating piece of research by Jonathan Touboul of Brandeis University:
“Touboul is a mathematician who studies the way the transmission of information through society influences the behavior of people within it. He focuses in particular on a society composed of conformists who copy the majority and anticonformists, or hipsters, who do the opposite…
“He does this by creating a computer model that simulates how agents interact when some follow the majority and the rest oppose it.”
New ideas about lifestyle and fashion – or just about anything else – are never communicated instantly or uniformly. Some people are ahead of the curve and thus can boast about ‘having been into X before it was cool’.
“People do not react instantly when a new, highly fashionable pair of shoes becomes available. Instead, the information spreads slowly via fashion websites, word of mouth, and so on. This propagation delay is different for individuals, some of whom may follow fashion blogs religiously while others have no access to them and have to rely on word of mouth.”
Touboul’s model incorporates this “propagation delay” – which, it appears, is crucial to the results:
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