Not so random.
Published In: New Scientist, 2025, v. 267, n. 3559. P. 44 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Steckles, Katie 3 of 3
Abstract
The article discusses Benford's law, a mathematical phenomenon that reveals a non-random distribution of first digits in certain real-world datasets. It explains that in data such as financial figures or measurements that span multiple orders of magnitude, the first digit is often more likely to be 1, while the digit 9 is the least common. This pattern is particularly useful for forensic accountants, as it can help identify fabricated data by comparing the expected distribution of first digits to actual data. The article encourages readers to observe this pattern in everyday numbers, such as bank account balances or house numbers. [Extracted from the article]
Additional Information
- Source:New Scientist. 2025/09, Vol. 267, Issue 3559, p44
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2025
- ISSN:0262-4079
- Accession Number:187707615
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