Professor Walter Mebane at the University of Michigan has written an (unpeer-reviewed) paper about this analysis, Inappropriate Applications of Benford’s Law Regularities to Some Data from the 2020 Presidential Election in the United States.
To date I’ve not heard of any substantial irregularities having occurred anywhere, and the particular datasets examined in this paper give essentially no evidence that election frauds occurred.
My interpretation: "Nice try, but no."
Mebane teaches Election Forensics at the University of Michigan, and has published a paper about Benford's Law and election fraud.
Mebane is arguably the premier authority on this topic. He is the one that applied it to the Iranian elections to prove fraud.
His work has been criticised in the literature, but Mebane has responded to this and everyone seems to miss it. He admits the utility of using Benford's law is an "open question."
