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Benfords Law, cent value distribution analysis, amount of bookings between specific amounts, amount * bookings between specific amounts, etc.
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### Description
A search bar for keywords to find an analysis within all the modules
### Purpose
The number of modules has grown to a point where I find myself searching e.g. for "Benfords La…
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Benford's first-digit analysis is intended to be used on data with several orders of magnitude, and hundreds of votes per precinct over hundreds of counties is not sufficient. For detecting voter frau…
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Great script! This helped me get started using Benford's Law to evaluate variations on the model I'm using to assess situational risk for COVID-19.
I had to modify this line: https://github.com/Cod…
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Nice analysis. However, I wanted to point you to a few articles that may be of interest to you. Essentially the research suggests Benford's is unreliable when applied to election data:
[https://r…
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### Description
Enhancement: in addition to Benford's law, it would be useful to check the frequency of second digits (round number); summation test; K-S, MAD test and Z-Statistic. These are the most…
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Awesome project. Here's similar work, and the data source. Might be really useful:
* Results: https://www.reddit.com/r/dataisbeautiful/comments/jogujo/oc_votes_numbers_for_trump_biden_and_west_foll…
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This repo's use of Benford's Law is so misleading that it discredits other claims of fraud more generally.
- If you pull the data from Milwaukee city, the average ward has 755 votes. Biden wins an …
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It would be interesting to see these same districts compared to the 2016 results and the 2012 results (where an incumbent was running).
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I suggest you plot a histograms of the vote counts per precinct, along with the histograms of the first digits. You will see _immediately_ that these are not evidence of voter fraud, or even examples …