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Concept

Fermi Estimation

Fermi estimation is a way of reaching a rough but defensible answer to a question that seems unanswerable by breaking it into smaller quantities you can reasonably guess, then combining those guesses.

The method is named after physicist Enrico Fermi, who liked asking students how many piano tuners work in Chicago. Nobody knows that number. But you can guess the city's population, the share of households with a piano, how often a piano is tuned and how many tunings one tuner manages a year. Multiply them and you land surprisingly close. It works for two reasons. First, splitting a big unknown into small ones turns a vague hunch into assumptions you can see and challenge. Second, independent guesses err in different directions, so their mistakes partly cancel. Philip Tetlock found that superforecasters do this constantly. Where possible, begin the chain with a base rate, meaning how often similar things usually happen. Only then adjust for your case's specifics. The goal is the right order of magnitude, not a precise figure.

A real-life example

Lina wants to know whether a coffee cart outside her local university can cover €2,500 a month in rent and wages. Rather than trusting a gut feeling, she splits the question up. Roughly 3,000 people pass the spot on a weekday, and perhaps 1 in 20 buys, which gives 150 cups. At €1.50 profit per cup over 20 weekdays, that comes to €4,500. She then asks a cart owner on another campus, who sells about 120 a day. That is close enough to trust the ballpark.

How to use it

  1. 1Write the question as a number, then list the three to five quantities that multiply or add up to it.
  2. 2Estimate each piece as a range. Start from a base rate whenever one exists, and note which guess you trust least.
  3. 3Combine the pieces and sanity-check the result against any real figure you can find. Then refine the weakest assumption first.