This work is cited by the following items of the Benford Online Bibliography:
Chi, D (2024). The Influence of Statistical Information on Number Estimation Under Uncertainty: Why Do People Present Benford Bias?. PhD Thesis, School of Psychology, Faculty of Science, University of Sydney. | ![]() |
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Dutta-Powell, R (2024). The perils of premature evaluation: reassessing the application of Benford’s Law to the USA’s COVID-19 data. Preprint on ResearchSquare.com. DOI:10.21203/rs.3.rs-5392071/v1. | ![]() |
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Filho, DF, Silva, L and Medeiros, H (2022). “Won’t get fooled again”: statistical fault detection in COVID-19 Latin American data. Globalization and Health 18, pp.105. DOI:10.1186/s12992-022-00899-1. | ![]() |
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Filho, TMR, Mendes, JFF, Lucio, ML and Moret, MA (2022). Reliability of COVID-19 data and government policies. Preprint arXiv:2208.11226 [physics.soc-ph]; last accessed August 31, 2022. | ![]() |
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Filho, TMR, Mendes, JFF, Lucio, ML and Moret, MA (2023). COVID-19 data, mitigation policies and Newcomb–Benford law. Chaos, Solitons and Fractals 174 p. 113814. DOI:10.1016/j.chaos.2023.113814. | ![]() |
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Gardian, W (2025). Die digitale Betriebsprüfung in der Gastronomie Benford's Law in Theorie und Praxis [Digital auditing in the hospitality industry: Benford's Law in theory and practice]. Verlag Dr. Kovac; Reihe: QM - Quantitative Methoden in Forschung und Praxis; Reihen-Nr.55. ISSN/ISBN:978-3-339-14350-1. GER | ![]() |
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Grodner, J and Rubin, AE (2025). Benford’s Law: applications to chondrules and refractory inclusions. Discover Space 129(2). DOI:10.1007/s11038-025-09561-3. | ![]() |
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