github.com/cjph8914/2020_benfords

github (a source control repository) ^ | 11/05/2020 | cjph8914

[AndyTheBear]

README.md First digit visualization of in selected counties/cities in the 2020 presidential election. Jupyter notebooks to analyze various precincts/wards for the 2020 election. Each notebook has either a source URL for the dataset or a link to the spreadsheet that was downloaded and parsed.

Benford's Law, also called the Newcomb–Benford law, the law of anomalous numbers, or the first-digit law, is an observation about the frequency distribution of leading digits in many real-life sets of numerical data. The law states that in many naturally occurring collections of numbers, the leading digit is likely to be small. For example, in sets that obey the law, the number 1 appears as the leading significant digit about 30% of the time, while 9 appears as the leading significant digit less than 5% of the time. If the digits were distributed uniformly, they would each occur about 11.1% of the time. Benford's law also makes predictions about the distribution of second digits, third digits, digit combinations, and so on.

[AndyTheBear]

This is a github repository with election data for those of us who can write code and who want to help detect fraud. It includes images of benford histograms that indicate fraud in Biden counts of swing states.

[AndyTheBear]

It also includes data files...

[musicman]

BTTT!!!

[ckilmer]

If this has all the election data—then it should be reposted again and again so that those who can write code can see it and do the number crunching as they please.

[Theoria]

The insights on the page has some interesting data.

[AndyTheBear]

Sadly it only has a little. But we may be able to get the rest in if we can get pull requests approved and merged. Planning to look into it this weekend. Maybe make my own fork.

[rfp1234]

Killary cheated too. Just not very well.

[Aria]

Will Banford’s Law help me win the lottery?

[AndyTheBear]

Nope.

[ckilmer]

Yeah if you can get all the election data into one place—that would be huge.

As well different data sets are likely configured differently. Therefor some routine that enables convergence of the variously configured data sets analysis should be provided. maybe do that in one or two languages.

[AndyTheBear]

I could really use help if people can point me to official links where such data can be downloaded, and I will try to get a repo that makes them available in common language neutral formats like json or yaml.

If anyone is a data analyst and wants a particular format let me know.

I have to work to pay bills during week though, so will be a weekend effort. Will probably just start with my own fresh repo.

[ckilmer]

You might want to ask this freeper if he as access to other databases. The one he posted looks big. A good question to ask is how to do you trap/tap actual data feeds from the SOS of each state. Better yet —how do you find the actual datafeeds at the SOS of each state. what is SOS. State office of...

The following comes from http://freerepublic.com/~kvanbrunt2/

I scraped the data from the NYT website, here [ https://static01.nyt.com/elections-assets/2020/data/api/2020-11-03/race-page/pennsylvania/president.json ] to check for other states, replace “pennsylvania” in the link with the state you want to check, for states that have spaces in their names, like new york, write new-york instead.>>> I don’t think it is wise to use .json files from a newspapers website. It’ is not real voting information. It might prove that the NYT is corrupt and misleading people with counts from states etc. But that is about all it proves. Unless someone is trapping actual data feeds from the SOS of each state then this i just playing.