It seems I was too kind to Larry Correia in my first post about the pro-Trumpist misleading claims about Benford’s Law. He actually is still pushing it as supposed evidence of election fraud.

“Basically, when numbers are aggregated normally, they follow a distribution curve. When numbers are fabricated, they don’t. When human beings create what they think of as “random” numbers, they’re not. This is an auditing tool for things like looking for fabricated invoices. It also applies to elections. A normal election follows the expected curve. If you look at a 3

https://monsterhunternation.com/2020/11/09/election-2020-the-more-fuckery-update/^{rd}world dictatorship’s election numbers, it looks like a spike or a saw.

There’s a bunch of different people out there running the numbers for themselves and posting the results so you can check their math. It appears that checking various places around the country Donald Trump’s votes follow the curve. The 3^{rd}party candidates follow the curve. Down ballot races follow the curve. Hell, even Joe Biden’s votes follow the curve for MOST of the country. But then when you look at places like Pittsburgh the graph looks like something that would have made Hugo Chavez blush.”

On Twitter I noted that far-right extremist Nick Fuentes is also pushing not just the misleading claims about Benford’s Law but a false claim that Wikipedia “added” criticism of its use in elections to discredit the claims being made about the 2020 general election. As I pointed out in this post, the rider that Benford’s Law use with electoral data was limited had been their for years. Rather than pro-Biden supporters adding it, Trump supporters removed the sentence and references in a bid to hide the fact that their analysis was flawed. You can read a 2013 version of the page here https://en.wikipedia.org/w/index.php?title=Benford%27s_law&oldid=534279795#Election_data

Since then, the section on Benford’s Law in election has expanded into a mini-essay about its use and limitations.

I don’t have a source for 2020 data at the precinct level that some of these graphs are using. I’m certain that there will be both Benford and non-Benford like distributions for Trump and Biden in various places. I do have county level data for 2020 to 2016 from here https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ

The analysis is trivial to do on a spreadsheet. Grab the first character and then tabulate it with a pivot table. You can explore various candidates from Bush to Biden on a Google sheets I made here https://docs.google.com/spreadsheets/d/1LPEKnoPtOE4VtYaM9z69B-a0XkRx5tyt_vPak8TknlY/edit?usp=sharing

Here, for example is Donald Trump in Alaska in 2016:

When you look at the district sizes in Alaska and consider Trump’s proportion of the vote, it becomes obvious very quickly that it would be absurd for this data to follow Benford’s Law. Here are the first four (of 40) districts.

District | Trump Votes | Total Votes | Percentage |
---|---|---|---|

District 1 | 3180 | 6638 | 47.91% |

District 2 | 3188 | 5492 | 58.05% |

District 3 | 5403 | 7613 | 70.97% |

District 4 | 4070 | 9521 | 42.75% |

We have leading digits of 3,5 and 4 and no 1s. Why? Because to get leading digits of 1s Trump’s votes would need to be proportionately much smaller! For example if he’d only got 20% of the vote in District 1 then that would result in some 1s. In some of the examples being passed around the Trumpist circles, that is one of the reasons for Benford-like graphs — they’ve picked places where Trump’s vote was proportionately low pushing into a ranges where 1s were common as a leading digit.

The mechanics of the deception here are fascinating. There’s an initial plausibility (Benford’s Law is a real thing and is actually used to detect fraud and has been applied to elections), a lack of any critical thinking (the examples being circulated are very limited, there’s no comparison with past elections to see what is normal) but then active deception (long standing academic critiques of applying Benford’s Law to election data being actively deleted from online wikis). On that latter part, we know the more extreme white nationalist right (Fuentes, Vox Day) are active in attempting to suppress information on how to apply Benford’s Law to election data. Providing the usual smoke screen an aura of legitimacy are the usual convenient idiots for neo-Nazis such as Larry Correia, who repeat the propaganda as ‘just asking questions’.