Aldous, D and Phan, T (2010). When Can One Test an Explanation? Compare and Contrast Benford's Law and the Fuzzy CLT. The American Statistician 64(3), pp. 221–227.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
Berger, A and Hill, TP (2010). Fundamental Flaws in Feller’s Classical Derivation of Benford’s Law. University of Alberta preprint; posted on math arXiv 14May 2010.





Berger, A and Hill, TP (2011). Benford's Law Strikes Back: No Simple Explanation in Sight for Mathematical Gem. The Mathematical Intelligencer 33(1), 8591. DOI:10.1007/ s0028301091823.





Berger, A and Hill, TP (2015). An Introduction to Benford's Law. Princeton University Press: Princeton, NJ. ISSN/ISBN:9780691163062.





Block, HW and Savits, TH (2010). A General Example for Benford Data. The American Statistician 64(4), 335339.





Fellman, J (2014). The Benford paradox. Journal of statistical and econometric methods 3(4), pp. 120. ISSN/ISBN:22410384 .





Goodman, WM (2013). Reality Checks for a Distributional Assumption: The Case of “Benford’s Law”. JSM Proceedings. Alexandria, VA: American Statistical Association (2013), pp. 27892803.
(Also published on the Statistical Literacy website, at URL: http://www.statlit.org/pdf/2013GoodmanASA.pdf)
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