I made a post about this a couple days ago after reviewing dominion manuals and multiple state documents. I’ll make it simple.
The machines (both voting and tabulators) are -designed- to be updated with “election definition” files. These are essentially schemas (or non tech speak templates) that tell the machine how the ballot is arranged. This is necessary to accommodate the wide range of possibilities for various election jurisdictions and races. However this flexibility also means that the systems are vulnerable to exploitation.
Besides all of the complex scenarios people have raised such as malware and sophisticated actor exploits - it is actually much easier than that to abuse the process. Simply create two different election definition files for a tabulator and use the desired tabulation machine to selectively process ballots to flip the candidate count the way its desired. This can be done by all of the following: The voting machine company, election IT staff, gov contractors (many outsource this!).
Subpoena/analyze ISP traffic logs feeding suspect counting and control locations; and mobile phones of staff for each state. Look for commonalities before during the election.
Only a long drawn out legal battle or some good guys (?) in FBI or NSA could do this.
Thanks, I can’t take credit. Found it while looking for data and prefer the structure in the repo. I might create one for the voter roll WI dataset another Pede here supplied after I look into it. The only concern I have with the 50-state (Edison) results data in the repo/NYT is that it’s “decision desk” data, not necessarily official tabulated data from the election systems. It seems to me that there was fuckery happening both at the ballot tabulation stage and at the aggregation/reporting stage.
Here's a GitHub repo of the same data source taken at incremental time periods. https://github.com/favstats/USElection2020-NYT-Results
Unfortunately blacks have been used as political cannon fodder for decades. Neither party is innocent.
Leftists have been the most cruel however. They will kiss you in the face while stabbing you in the back. Decades of intentional emotional manipulation (humans make decisions based on emotion, not reason) while never addressing their fundamental needs (not demands, or feelings). They've been encouraged to feel angry at injustice and to dismiss any notion of accountability. This has led to a dangerous cycle of increasingly broken families and crime ridden communities, which under democratic leadership, have failed to provide any meaningful opportunities to provide jobs and entrepreneurship. Education is doomed to fail from the very beginning when kids come from broken homes and can not envision a future that is any different than the world they see in front of them each day.
Requested: Official time-series raw tabulator data from the state election management server would be ideal. Not third party. Voter rolls as well.
This is a good idea. Suggest putting it in a repo. I believe someone already has a discord group setup. Might want to check with them first to avoid duplication of work.
Good concept. However many big 4 worker drones are fresh ivy league and college recruits. There's inherent political bias there from the start. You'd have to obfuscate the data to get an unbiased conclusion. The big 4s are also heavily involved in gov work either directly or indirectly so I doubt they'd want to rock the boat too much.
How deep?
https://thedonald.win/p/11Q8EgmUUM/me-after-deep-diving-into-electr/c/
But seriously. Many of the electronic voting machine companies are connected through a network of directors and investors who coincidentally are involved in defense, intelligence, consumer research, and government contracting companies.
Defunding/“RE-thinking” the police is not about eliminating police. It’s about changing the composition of the police to enforce leftist ideology.
It has already been happening in leftist cities through recruiting, hr, and leadership appointments.
Police organizations are becoming political tools and officers selected accordingly.