Pedes, I have created a GitHub with reproducible Benfords Law analysis of Milwaukee vote anomalies. This is designed to be rapidly extensible. Please please please, suggest more suspicious datasets and I can rapidly add them to this analysis.
Here's the webpage:
https://voteanalysis.github.io/benfordslaw_election2020/
... and here's the github page so anybody can reproduce my results:
I think the page could use and explanation of what benfords law is and how it useful/relevant
https://www.youtube.com/watch?v=XXjlR2OK1kM
Here's a relatively entry level lesson on it.
TLDW: there's a counter-intuitive property of random number distributions. When you analyze the first digit of each number in the data set, you should find the number 1 most frequently at ~30%. Each subsequent number is less frequent. When analyzing the trump and biden votes from each precint, trumps vote totals follow this distribution. Biden vote counts do not, indicating human tampering.
I understand this, however, if I want to share this page broadly it would better if the explanation was included on the page. It’s a fondled idea and you only have so long to get peoples attention. So multiple links not ideal.
Thank you very much for writing out the great description!