A fascinating post by Wretchard on the dynamics of public events in the Internet age, and on the ways in which such events are now subject to quantitative analysis of the type that has previously been reserved for quantum systems and securities markets:
Internet storms are emergent events which are difficult to predict. They are like rogue waves on the ocean, arising from the complex interaction between many factors, none in themselves particularly threatening. Yet combined they can suddenly throw up a devastating phenomenon, able to sweep all before it. About all people can do to gain a semblance of influence over emergent events is to shorten their reaction times to events. In the jargon of the trade they must increase the speed of their feedback loops to have any hope of evading the avalanche or deflecting it decisively. Because there is no easy way to predict what direction emergent events will take, the prudent manager must do all he can to detect them while they are building up. A number of methodologies exist to do this. But perhaps the most simple consists of an analyst trained to look at prediction markets, aggregators and sentiment analysis software in ways designed to detect the edge of the storm.