RonRules
Member
- Joined
- Dec 25, 2007
- Messages
- 4,485
I am not that new to programming(by 'getting into it' I meant that I was trying to make money at it). I just wanted to get an idea of what you wanted it to do and what you might want it to do in the future. Also, From my work on an open source project called Drupal, I have had quite a lot of experience with people on the internet telling me about my own code.![]()
OK that gives me a better idea of your skill level. Ultimately the purpose is to nail down the cause. We have not done that yet, as you know.
To find the cause, we need to analyze various states, counties, different years, different candidates, different parties, caucuses or primaries. We don't necessarily have to do ALL of it, but we need a wide variety of elections to analyze, all the while keeping track of what flips and what doesn't. We need to establish clear criteria to distinguish a flipped election and one that is not. We also need to correlate that with what kind of equipment is used for voting and tabulating the results.
This can only be done efficiently through automation and I think that the R statistical system could be at the center of that. Ideally the program would fetch the election data directly and upload the results to a website. Election data formats vary a lot, but many states use SOE software and those are all very consistent. We could start with those. AL, AZ, NC are some example. I think 26 states use SOE.
Program4Liberty's Java program helped me a lot. As soon as I get a properly formatted ".csv" file, I can produce a chart and post it in 10 minutes max. The problem is that nobody else seems to use it.
It's also important to analyze "deep", like Liberty1789 and The Man did in Alabama. I consider that their results are undeniable evidence and action needs to be taken.
Finding flat-lines is important too because you can find out why they got good results. So far I've discovered that it's related to counties that don't use central tabulators.
Another effort would be to do software forensics on a Central Tabulator, with the assistance of an election county clerk. If people reading this have such connections and have to technical knowledge to investigate a compromised computer, that could very well be the quickest way to find the cause.
I see that Drupal is a content management system. Maybe it would be great to use it to host all the various data and charts we have. An interface between R and Drupal, if possible would be great to have.
If we are successful, I see such a fraud detection system to be mandatory and run on all elections. It's totally baffling that such obvious discrepancies have been missed or ignored for decades. We have what appears to be clear flipping dating back many years.
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