Benford's Law is a statistical principle that states that in many naturally occurring datasets, the first digit is more likely to be small. Specifically, about 30% of numbers will start with the digit 1, while larger digits like 9 will only appear as the leading digit about 5% of the time. This phenomenon has important implications for detecting anomalies in financial data and assessing the integrity of accounting practices, particularly in identifying potential earnings management or fraudulent activities.
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