Qm
Foundational

Anchor Numbers Worth Memorising

A short list of everyday quantities, populations, areas, prices, that let you build a Fermi estimate quickly by scaling from something you already know cold.

Estimation interview questions ("how many piano tuners are in Chicago?") aren't really testing whether you know the answer, they're testing whether you can build one from a small set of reliable reference points. Having a handful of anchor numbers memorized cold turns a blind guess into a chain of reasonable multiplications, and interviewers care far more about the chain than the final digit.

A useful starter set: US population ≈ 330 million, world population ≈ 8 billion, an average household size ≈ 2.5 people, a car's average lifespan ≈ 15 years, a major US city's land area ≈ 200-600 square miles, and an average adult walking speed ≈ 3 miles per hour. None of these need to be exact, they need to be in the right order of magnitude and easy to recall under pressure.

A worked example

"How many gas stations are in the US?" Start from population (330 million), assume roughly 1 car per 2 people (165 million cars), assume each car fills up roughly once a week and each station serves maybe 500 fill-ups a week across its pumps, that's 165,000,000 / 7 fill-ups per day ≈ 23.6 million per day, divided by a station's daily throughput of maybe 500-1000 cars, landing around 25,000-45,000 stations. The real US figure is roughly 145,000, so this chain undercounts by a few times, a normal outcome for a first pass, and exactly the kind of gap an interviewer expects you to sanity-check and adjust out loud.

A small set of memorized anchor numbers, population, household size, typical speeds and lifespans, turns an estimation question into a chain of defensible multiplications, and getting the order of magnitude roughly right matters far more than precision.

Discussion

Sign in to join the discussion · reading is open to everyone

💡 Discussion rules

  1. Ask and answer about this concept. Off-topic gets removed.
  2. No homework dumps. Show what you tried first.
  3. Corrections are welcome. Cite a source when you claim an error.

Loading discussion…

Related concepts

Practice in interviews

Further reading

  • Guesstimation, Weinstein & Adam
ShareTwitterLinkedIn