Benford's Law
Benford's law is an empirical rule that, across much real-world numeric data, smaller leading digits appear more often. The probability that the first digit is d is log₁₀(1 + 1/d) — about 30.1% for 1 and only 4.6% for 9. It's observed broadly across Fibonacci numbers, powers, populations, and accounting data.
01Benford's Law
Concept at a GlanceYou'd expect the first digit to be uniform across 1–9 (11.1% each), but real data is nothing like that.
Benford's law: the probability the first digit is d is log₁₀(1 + 1/d). 1 is most common at about 30.1%, falling to 4.6% by 9.
The first digits of 1000 Fibonacci numbers (1·1·2·3·5·8·13·…) — remarkably, they almost match the Benford curve.
Powers of 2 (2·4·8·16·32·64·…) follow the same distribution.
Powers of 3 too. It's a property shared by numbers that grow multiplicatively across many digit widths.
So when accounting ledgers, election results, or scientific data deviate sharply from this distribution, tampering can be suspected — it's used for fraud detection.
02 Understand It Simply
For EveryoneFor a quantity growing at a constant rate, the leading digit needs a doubling to go from 1 to 2 but only about 1.1x to go from 9 to 10. It therefore spends far longer on small leading digits, and 1 appears most often.
Data that grows multiplicatively across many digit widths spreads evenly on a log scale, so the leading digit follows the log₁₀(1+1/d) distribution — 1 is most common, 9 rarest.
The exact opposite of the intuition that they'd be uniform (11.1% each).
- –Detecting accounting fraud
- –election tampering
- –and scientific data fabrication; checking data quality; verifying whether data is naturally occurring
03 Frequently Asked Questions
FAQWhat is Benford's Law?+
Benford's law is an empirical rule that, across much real-world numeric data, smaller leading digits appear more often. The probability that the first digit is d is log₁₀(1 + 1/d) — about 30.1% for 1 and only 4.6% for 9. It's observed broadly across Fibonacci numbers, powers, populations, and accounting data.
Where is Benford's Law used?+
Detecting accounting fraud, election tampering, and scientific data fabrication; checking data quality; verifying whether data is naturally occurring.
What's a simple analogy for Benford's Law?+
For a quantity growing at a constant rate, the leading digit needs a doubling to go from 1 to 2 but only about 1.1x to go from 9 to 10. It therefore spends far longer on small leading digits, and 1 appears most often.
