Please watch this video if you wrongly believe that Benford's law easily can be applied to elections results.
https://youtu.be/etx0k1nLn78 On Sun, Nov 1, 2020, 21:17 Spencer Graves < spencer.gra...@effectivedefense.org> wrote: > Hello: > > > What can you tell me about plans to analyze data from this year's > general election, especially to detect possible fraud? > > > I might be able to help with such an effort. I have NOT done > much with election data, but I have developed tools for data analysis, > including web scraping, and included them in R packages available on the > Comprehensive R Archive Network (CRAN) and GitHub.[1] > > > Penny Abernathy, who holds the Knight Chair in Journalism and > Digital Media Economics at UNC-Chapel Hill, told me that the electoral > fraud that disqualified the official winner from NC-09 to the US House > in 2018 was detected by a college prof, who accessed the data two weeks > after the election.[2] > > > Spencer Graves > > > [1] > https://github.com/sbgraves237 > > > [2] > https://en.wikiversity.org/wiki/Local_Journalism_Sustainability_Act > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
