Statistical and applied probabilistic knowledge is the core of knowledge; statistics is what tells you if something is true, false, or merely anecdotal; it is the "logic of science"; it is the instrument of risk-taking; it is the applied tools of epistemology; you can't be a modern intellectual and not think probabilistically—but... let's not be suckers. The problem is much more complicated than it seems to the casual, mechanistic user who picked it up in graduate school. Statistics can fool you. In fact it is fooling your government right now. It can even bankrupt the system (let's face it: use of probabilistic methods for the estimation of risks did just blow up the banking system).
via www.edge.org
The "fourth quadrant" (extreme events with extreme outcomes) provides part of the justification for a scenario planning methodology. These events are where statistical likelihoods derived from Normal distributions break down. They come without historical precedent, precisely because they are so unlikely (see the economist describing the 1 in 10,000 year likelihood of the credit crunch). However, they have complex payoffs and therefore are serous trouble.
Hypothesis: Market World is at risk of an increased number of "endogenous black swan events", i.e. extreme outcomes generated within the system. This in itself may put a long run limit on the operation of a "free" i.e. Washington Consensus market structure. In other words, the self- equilibriating tendency in "Turbo Captalism" is it's inbuilt tendency to generate Black Swans.
