September 11, 2009
Have you heard the one about the river-crossing statistician who drowns after determining that the water is, on average, only three feet deep? This, says author Sam L. Savage, is just one example of the flaw of averages.
But don't despair, Savage writes in The Flaw of Averages: Why We Underestimate Risk in the Face of Uncertainty. There are sensible ways to make judgments involving uncertainty and risk. Reason senior editor Michael C. Moynihan met up with Savage to discuss the "seven deadly sins" of averages and how a greater understanding of these flaws could prevent future financial meltdowns.
Approximately 4:30. Shot by Dan Hayes and edited by Meredith Bragg.
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Holy metaphor, Batman!
I specialize in quantitative analysis of social data and while
these cautions are important, we mustn't let them paralyze us into
abandoning all techniques that are based on averages or other
measures of central tendency. In fact, every example he gave in the
video exemplified a single fallacy: mistaking the model for
reality.
You wouldn't go into a restaurant and eat the menu; likewise you
should remember that all mathematical - and verbal - models are
only abstractions of reality that provide a limited set of
detail.
And his analogy of looking down the barrel of a loaded gun is
ridiculous. Running a goodness-of-fit test is not risking your life
and will estimate the degree to which your model fits the data.
It's like cracking the breach on a shotgun to see if it's
loaded.
As far as financials go, you just have to remember that people
are irrorational, and past perforance is not necessairly a
predicator of future returns.
Also, I wonder how this risk analysis applies to climate change
:P
RC'z law strikes again. Krone, are you a touch typist or are you a huntin' pecker?
The first thing I thought today when I saw this headline on
Reason.com was that there would be a reference to Nassim Taleb's
book "The Black Swan" (a book that is very interesting, when it
isn't unnecessarily interrupted to serve Taleb's unapologetic
egotism.)
Just a surface impression, but this video looks like it has been
edited to hide frustration with its subject, Mr. Savage. Mr.
Moynihan looks like he's on the brink of bursting out into
frustrated laughter, and the cuts are oddly placed.
Maybe this is some kind of karma for Moynihan's article suddenly
criticizing his supposed libertarian brethren, while somehow
lacking the perspective that the government-control Left, and the
religious Far Right have never held any such criteria to
themselves, but entirely molded American policy.
http://www.reason.com/news/show/135901.html
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What he's talking about is a lay person's mistake--one that good statisticians have been trained out of. It isn't hard to make mathematical models that don't make these mistakes.
Don't be fooled by how simple this sounds. It is a real problem
especially in financial modeling where all you ever look at is an
average input.
Also, a statistician might be able to understand this, but I have
yet to work in a place where this issue was actually taken
seriously into account.
The Flaw of Averages is a very good book. Application of the flaw is an example I run into with business analysts all the time. And I can't count the number of financial and engineering mistakes I've witnessed as a result of the flawed way of thinking.
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