In my last post, I discussed the geometric mean and how it relates to the more familiar arithmetic mean. I mentioned that the geometric mean is often useful for estimation in physics.
Lawrence Weinstein, in his book Guesstimation 2.0, gives a mental algorithm for approximating the geometric mean. Given two numbers in scientific notation [ a \times 10^x \quad \text{and}\quad b \times 10^y, ] where the coefficients (a) and (b) are both between 1 and 9.

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