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This is an accepted version of this page This is the latest accepted revision, reviewed on 17 December 2024. Observation that in many real-life datasets, the leading digit is likely to be small For the unrelated adage, see Benford's law of controversy. The distribution of first digits, according to Benford's law. Each bar represents a digit, and the height of the bar is the percentage of ...
Benford's law is an observation that in many real-life sets of numerical data, the leading digit is likely to be small. [21] In sets that obey the law, the number 1 appears as the leading significant digit about 30% of the time, while 9 appears as the leading significant digit less than 5% of the time.
Benford's law, which describes the frequency of the first digit of many naturally occurring data. The ideal and robust soliton distributions. Zipf's law or the Zipf distribution. A discrete power-law distribution, the most famous example of which is the description of the frequency of words in the English language.
For example, a ranked list of US metropolitan populations also follow Zipf's law, [8] and even forgetting follows Zipf's law. [9] This act of summarizing several natural data patterns with simple rules is a defining characteristic of these "empirical statistical laws".
Benford's law, named after physicist Frank Benford, who stated it in 1938, although it had been previously stated by Simon Newcomb in 1881. Bertrand's ballot theorem proved using André's reflection method , which states the probability that the winning candidate in an election stays in the lead throughout the count.
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English: illustration of Benford's law, using the population of the countries of the world. The chart depicts the percentage of countries having the corresponding digit as first digit of their population (red bars). For example, 64 countries of 237 (=27%) have 1 as leading digit of the population.