Tuesday, January 29, 2008

Tipping point? Are you kidding me?

Sivacracy is a great blog. They bring me all manner of light, fun stuff - and then drop a big bag of awesome like this:

Ever since it came out, I have had big problems with Malcolm Gladwell's "Tipping Point" thesis. I had even bigger problems with Blink. But that's another issue.

I am thrilled that Clive Thompson has profiled the brilliant sociologist Duncan Watts and asks the question, Is the Tipping Point Toast?

Don't get Duncan Watts started on the Hush Puppies. "Oh, God," he groans when the subject comes up. "Not them." The Hush Puppies in question are the ones that kick off The Tipping Point, Malcolm Gladwell's best-seller about how trends work. As Gladwell tells it, the fuzzy footwear was a dying brand by late 1994--until a few New York hipsters brought it back from the brink. Other fashionistas followed suit, whereupon the cool kids copied them, the less-cool kids copied them, and so on, until, voilĂ ! Within two years, sales of Hush Puppies had exploded by a stunning 5,000%, without a penny spent on advertising. All because, as Gladwell puts it, a tiny number of superinfluential types ("Twenty? Fifty? One hundred--at the most?") began wearing the shoes.

Duncan Watts's research tells advertising execs precisely what they don't want to hear: All their clever (and lucrative!) targeted viral campaigning may ultimately be less effective than good old mass marketing.

K? So you have Gladwell saying trends can occur due to the actions of a small few - Watts says he's full of it.

Jumping into the detail we have Gladwell:
To help illustrate the cultural sway of his hypernetworked protagonists, he tapped the renowned 1967 "Six Degrees of Separation" study by sociologist Stanley Milgram. In that experiment, Milgram had given letters to 160 people in Nebraska, with instructions to ferry them to a particular stockbroker in Boston by passing the letters along to a colleague socially closer to the target. It famously took roughly six links to deliver each letter. But in a finding that particularly excited Gladwell, it was the same three friends of the stockbroker who provided the final link for half the letters that arrived successfully. They were the Connectors, as Gladwell dubbed them, who govern the flow of social information. If you wanted to get to that stockbroker, you couldn't approach just anyone. You had to go through those three friends. Possessed of huge Rolodexes, these folks are the gatekeepers, Gladwell wrote, "and the rest of us are linked to the world through those special few."
vs. Watts:

But Watts, for one, didn't think the gatekeeper model was true. It certainly didn't match what he'd found studying networks. So he decided to test it in the real world by remounting the Milgram experiment on a massive scale. In 2001, Watts used a Web site to recruit about 61,000 people, then asked them to ferry messages to 18 targets worldwide. Sure enough, he found that Milgram was right: The average length of the chain was roughly six links. But when he examined these pathways, he found that "hubs"--highly connected people--weren't crucial. Sure, they existed. But only 5% of the email messages passed through one of these superconnectors. The rest of the messages moved through society in much more democratic paths, zipping from one weakly connected individual to another, until they arrived at the target.

Why did Milgram get it wrong? Watts thinks it's simply because his sample was so small--only a few dozen letters reached their mark. The dominance of the three friends could have been a statistical accident. "And since Milgram's finding sort of made sense, nobody even bothered to redo the experiment," Watts shrugs.
No experiment is bulletproof, but based on this alone - I sure know which of these two I'd be asking to repeat their results.

Gladwell? Your retort?

1 comment:

Siva Vaidhyanathan said...

Gladwell reports (an distorts) social science. Watts does it.

This might help deepen the conversation:

N. Hanaki, A. Peterhansl, P. S. Dodds, and D. J. Watts.
Cooperation in evolving social networks.
Management Science (in press).

M. J. Salganik, P. S. Dodds, and D. J. Watts.
Experimental study of inequality and unpredictability in an artificial cultural market.
Science, 311, 854-856 (2006).

G. Kossinets and D. J. Watts.
Empirical Analysis of Evolving Social Networks.
Science, 311, 88-90 (2006).

D. J. Watts, P. S. Dodds, R. Muhamad, and D. Medina.
Multiscale, recurrent epidemics in a hierarchical compartment model.
Proceedings of the National Academy of Sciences, 102(32), 11157-11162 (2005)

P. S. Dodds and D. J. Watts.
A generalized model of social and biological contagion.
Journal of Theoretical Biology 232(4), 587-604 (2005).