Fermi estimates

Abstract

Fermi estimation is a technique used to make roughly-accurate estimates with very little data. This technique is useful for decision-making, as it can save time and effort. The article lays out strategies for making Fermi estimates, including decomposing the problem, estimating by bounding, and sanity-checking the result. It includes several examples of Fermi estimates, covering topics such as the number of new cars sold in the USA, the number of passenger-jet fatalities, and the amount of money the New York state government spends on K-12 education each year. The author highlights the importance of practicing Fermi estimation regularly to improve one’s proficiency. – AI-generated abstract