This work is cited by the following items of the Benford Online Bibliography:
Agyemang, EF, Nortey, ENN, Minkah, R and Asah-Asante, K (2023). Baseline comparative analysis and review of election forensics: Application to Ghana’s 2012 and 2020 presidential elections. Heliyon 9 p. e18276. DOI:10.1016/j.heliyon.2023.e18276. | ![]() |
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Anderson, KM, Dayaratna, K, Gonshorowski, D and Miller, SJ (2022). A New Benford Test for Clustered Data with Applications to American Elections. Stats 5(3), pp. 841–855. DOI:10.3390/stats5030049 . | ![]() |
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Dacey, J (2020). Benford’s law and the 2020 US presidential election: nothing out of the ordinary. PhysicsWorld Everyday Science Blog posted 19 Nov 2020; last accessed 15 Dec 2021. | ![]() |
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Golbeck, J (2020). Benford’s Law Does Not Prove Fraud in the 2020 US Presidential Election. Blog posted Nov 10, 2020; last accessed December 15, 2021. NOTE: Some information in this posting has been disputed. Please see https://arxiv.org/abs/2011.13015 for details. | ![]() |
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Masters, AB (2020). Benford’s Law and Election Data. Blog posted on Medium, Nov 15. | ![]() |
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McGinty, JC (2020). Can an Accounting Tool Detect Election Fraud?. Wall Street Journal, Dec 4, 2020. | ![]() |
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Parker, M (2020). Why do Biden's votes not follow Benford's Law?. Posted on youTube.com November 10, 2020; last accessed December 1, 2020. NOTE: Some information in this posting has been disputed. Please see https://arxiv.org/abs/2011.13015 for details. | ![]() |
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Reuters Staff (2020). Fact check: Deviation from Benford’s Law does not prove election fraud. Posted on Reuters.com, November 10; last accessed December 1, 2020. NOTE: Some information in this posting has been disputed. Please see https://arxiv.org/abs/2011.13015 for details. | ![]() |
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Shanaev, S, Shuraeva, A and Ghimire, B (2020). Detecting Anomalies in the 2020 US Presidential Election Votes with Benford’s Law. SSRN Scholarly Paper Nr. 3728626. | ![]() |
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Svab, P (2020). Statistical Anomalies in Biden Votes, Analyses Indicate. The Epoch Times, November 9. | ![]() |
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Torres-Zúñiga, V (2024). Hoja de cálculo de la ley de Newcomb-Benford con datos científicos, ChatGPT, censo y COVID-19 en México. Preprint del Manuscrito, incluido en el libro: Argumentos y usos tecnopedagógicos de la inteligencia artificial SOMECE, pp. 370-385 . ISSN/ISBN:978-607-59406-3-2. SPA | ![]() |
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White, GL (2023). Teaching Case: Election Security and Technology Education. Journal of The Colloquium for Information Systems Security Education 10(1). DOI:10.53735/cisse.v10i1.171. | ![]() |
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