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Want to See Election Fraud in 24 Hours? Send Us Your Data!
Lots of people are looking for election fraud in the 2020 election.
Our team is delivering the means of stopping election fraud in 2022 and beyond by giving citizen groups real-time visibility to voter registration rolls.
Voter registration rolls are the general ledger for election fraud.
Whether the fraud is Jesse Morgan's truck delivering 100,000 ballots or Atlanta girls running ballots multiple times through the machines or somebody adding more votes to every candidate — votes must eventually tally up to voter registration rolls.
A secretary of state or county election official allows the dead to vote for decades. With the dead there are felons; people who live in postal boxes; and, in a recent case, a young man who apparently lives in a power plant.
Thousands of voters are added ninety days before the election, then mysteriously removed right after the election.
Voter fraud comes in many forms. It is all over the place. It is really hard for any citizen to see quickly, simply. That's why it has worked so well for thirty years, especially in 2020.
Until now.
It was a rainy Sunday evening when the call came from attorneys at a large midwestern state. They had millions of voter records they needed to process to identify starting points for voter fraud. They want to drive a statewide election audit.
They were told it would cost them almost a million dollars, take months to process, and maybe there might be something there. Maybe. They did not have the dough or the time.
They contacted us after reading our pieces on American Thinker and thought we might be a last resort.
We loaded their 8 million voter records in less than 11 seconds. That's not a typo. We worked with their gnarly data files to put them in order. That took a few hours.
They asked if there was anything we could show them before October.
Well, yes. Let's have a call Monday night — 19 hours later. We will run all your data, at silicon speed (that is faster than an eye blink), and show you about anything you want to see in your data. Let's go!
So what did we find?
This is the really fun part; they had to see it to believe it. And they did.
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