BizJournals Portfolio
Apr 21 2009 3:41pm EDT

There Is No Spoon

A number of bloggers are linking to this fascinating piece comprising a discussion between author Guy Rolnik and Daniel Kahneman. It begins with this:

But the story Kahneman recalls when asked about the economic models at the root of the current financial crisis is actually taken from history, not an experiment. It concerns a group of Swiss soldiers who set out on a long navigation exercise in the Alps. The weather was severe and they got lost. After several days, with their desperation mounting, one of the men suddenly realized he had a map of the region.

They followed the map and managed to reach a town. When they returned to base and their commanding officer asked how they had made their way back, they replied, "We suddenly found a map." The officer looked at the map and said, "You found a map, all right, but it's not of the Alps, it's of the Pyrenees."

Much of the piece focuses on the utility of the models we all use to guide our decision making:
Over the last 40 years you have demonstrated that we never employ the statistical method of thinking, just the heuristic one - rules of thumb. Some economists today say the models were indeed based on statistics, but the problem is that they were based on statistics according to which the market goes up, rather than on long-term statistics.

"When it comes to finance, people link risk to volatility, but in reality, there is no connection between the two at all. There is a connection, but not when we're talking about huge risks. Greenspan and others believed that the global system - by virtue of its being global - was ipso facto more stable. Then it turned out that while it might have been more stable, it was also more extreme.

"In the last half year, the models simply didn't work. So the question arises: Why do people use models? I liken what is happening now to a system that forecasts the weather, and does so very well. People know when to take an umbrella when they leave the house, or when it will snow. Except what? The system can't predict hurricanes. Do we use the system anyway, or throw it out? It turns out they'll use it."

For some reason this concept -- models that work nearly all the time but fail massively when they don't -- reminded me of this:
Your life is the sum of a remainder of an unbalanced equation inherent to the programming of the matrix. You are the eventuality of an anomaly, which despite my sincerest efforts I have been unable to eliminate from what is otherwise a harmony of mathematical precision. While it remains a burden to sedulously avoid it, it is not unexpected, and thus not beyond a measure of control. Which has led you, inexorably, here.
So I was extremely gratified to see the piece end like this:
Let's end with your story of the Swiss soldiers and the map of the Pyrenees. I know why the map helped the soldiers: it gave them confidence. But why didn't they use a map of the Alps? Why don't we use the right economic models, ones that are relevant to extreme cases as well?

"Look, it's possible that there simply is no map of the Alps"...

Quite so.


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