1. ## Probability Quiz

taken from an article by Nassim Taleb here.
THE WORLD QUESTION CENTER 2006 &mdash; Page 17

In it, he highlighted this:
I've enjoyed giving math students the following quiz (to be answered intuitively, on the spot). In a Gaussian world, the probability of exceeding one standard deviations is ~16%. What are the odds of exceeding it under a distribution of fatter tails (with same mean and variance)?

2. It's less. A distribution of this type (of normal with more probability in the tails) is the t-distribution. Clearly, if more the the probability are in the tails then there's less in the center.

3. If the tails are fatter, and there's less at the centre, won't the probability of exceeding one standard deviation be higher?

4. Originally Posted by chopet
If the tails are fatter, and there's less at the centre, won't the probability of exceeding one standard deviation be higher?
The mean and variance are the same in this case, so the standard deviation is the same. I believe your thoughts are correct, since there is less "ground to cover" for one standard deviation.

5. The answer from the article:
The right answer: lower, not higher — the number of deviations drops, but the few that take place matter more. It was entertaining to see that most of the graduate students get it wrong. Those who are untrained in the calculus of probability have a far better intuition of these matters.

I still don't get it.