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I came across Shattering the Bell Curve while reading one of my favorite economics blogs, EconLog.

When talking about assumptions for predictive statistical models, David A. Shaywitz suggests that there is a lot inconsistency and inaccuracy in many statistical models, due to incorrect assumptions about distributions. Specifically, using a bell-curve instead of a power-law.

Arnold Kling, from EconLog, applies this specifically to models proclaiming various scenarios of significant man-made climate change, of which it certainly applies, but that’s not what I found the most interesting.

I found this quote from the conclusion of the article interesting:

If we accept Mr. Taleb’s premise about power-law ascendancy, we are left with a troubling question: How do you function in a world where accurate prediction is rarely possible, where history isn’t a reliable guide to the future and where the most important events cannot be anticipated? [emphasis mine]

I don’t find it troubling that I can’t perfectly anticipate or predict the future. Well, okay I’m lying. I’m scared of the future just like everyone: it’s the human condition. But to somehow think that faith in a predictive statistical model was somehow holding back the now-shattered dam separating fear and functionality seems ridiculous.

How can you function in a world that can’t be statistically predicted? We all do it every day, all the time. I think rather than fearing the future, we should embrace it and look forward to it.

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