Reuters, and all the academics they consulted, appears to disagree with that sentiment
https://www.google.com/amp/s/mobile.reuters.com/article/amp/idUSKBN27Q3AI
IThe article appears to just be talking about the difference between "proof" and "evidence"
“First, I'd like to stress that Benford's Law can NOT be used to "prove fraud",” he told Reuters by email. “It is only a Red Flag test, that can raise doubts. E.g., the IRS has been using it for decades to ferret out fraudsters, but only by identifying suspicious entries, at which time they put the auditors to work on the hard evidence. Whether or not a dataset follows BL proves nothing.”
Walter Mebane, Professor at the Department of Political Science and Department of Statistics at the University of Michigan (here) authored a December 2006 article (here) around the application of Benford’s Law to the US presidential election results. The article suggested some limitations of the process, but said in the Abstract: “The test is worth taking seriously as a statistical test for election fraud."
Do you have a special search algorithm that can detect the only phrases in an article that can be manipulated to support your preconceptions? Did you read any of the other paragraphs? The rest of amebanes quotes? The excerpts from the paper he published about the 2020 results?
"On Nov. 9, 2020, in response to “several queries” Mebane published a paper called “Inappropriate Applications of Benford’s Law Regularities to Some Data from the 2020 Presidential Election in the United States” (www-personal.umich.edu/~wmebane/inapB.pdf). His paper says, “The displays shown at those sources using the first digits of precinct vote counts data from Fulton County, GA, Allegheny County, PA, Milwaukee, WI, and Chicago, IL, say nothing about possible frauds” before examining the reasons behind this statement."