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Benford’s Law Calculator

Find the theoretical frequency of a first significant digit under Benford’s law and its expected count in a sample.

Benford probability

30.103000%
Expected count
301.029996

Formula

P(d) = log₁₀(1 + 1/d); expected count = N × P(d).

Benford probability ≈ 100×log10(1+1÷(1)) · Expected count ≈ (1,000)×(30.10299957)÷100

How to use

  1. Choose the first nonzero digit, 1–9.
  2. Enter the number of observations.
  3. Read the model probability and expected count.

Examples

  • For digit 1, P ≈ 30.103%; N = 1,000 gives ≈ 301.03.

Frequently asked questions

Does every dataset follow this law?

No. Assigned IDs, fixed ranges and other constraints may not fit Benford’s law.

Does a mismatch prove fraud?

No. The model alone cannot establish fraud or data quality.

Why is zero excluded?

The first significant digit of a nonzero value is never zero.

Sources

Updated:

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