During our work for Sheriff David Clarke in Wisconsin, the Omega team went from never having seen an election roll to running the largest election database ever created with over 2.7 billion records – for 26 states alone.
With only 165 million or so voters in the United States, why such a large database?
Data travels, data moves, data tells a story as it traverses different databases – over time.
Let’s take an example.
Phineas Phrogg, our made up character is on a voter roll. Phineas owns a home, has three credit cards, two cars, does limited social media, is a deacon at his church and active in the Lions Club.
Phineas’ data in any single database yields 1 x 1 = 1 level of insight.
A state voter roll, taken on March 15, is a flat surface with little actionable information.
If we take multiple databases where Phineas appears – his credit file, auto history, auto registration, donation info and perhaps 10 other common places Phineas innocently appears, we get a relief map – not a flat surface.
Artificial intelligence predicts a lot of what Phineas is likely to do and likely to buy.
Here Phineas’ information is 1 (Phineas) x number of data sources = 1,000 or 10,000 data points. The A.I. program knows more about Phineas than he may know himself.
This is not high tech. Every major consumer goods company does this work today – every reader of this article exists in scores of these databases.
Now for the hard stuff.
What if we take a snapshot of every one of Phineas databases on different dates? Perhaps every month, or every week?
We see Phineas’ actions over time.
We see Phineas’ likes and dislikes in one database – perhaps the car he chooses – change over the time series. We can probably tie some of those new preferences to changes in another data source – perhaps a contribution database.
Phineas started giving money to animal rescue, this change might ripple through some other preferences as well – maybe he is moving toward being a vegetarian.
The A.I. systems for the consumer goods company will pick this up too – 3 years from now. We identify the behavior change almost instantly.
That, people, is a game changer.
That is why, for a single state, like Pennsylvania or Georgia, we collected over 350,000,000 (350 million) – records from their voter rolls in less than one year. I just wanted you to see all the zeroes.
When our team built the TSA No-Fly List technology and the auto fraud systems for State Farm, GEICO, USAA and others, their data teams bemoaned the “dirty data” in those databases. They had clear agita from the misspellings, wrong addresses, different ways to show an address, fraudulent entries.
Our team loved dirty data.
This is not a porno thing – but dirty data – inaccuracies, misspellings, multiple ways of entering a street name – are Hansel and Gretel’s little stones leading to insight you cannot find anywhere else.
For eBay, when we built their cyber fraud prevention system – they already called the Secret Service, the FBI, every neural net company – they were all stymied by – you guessed it – dirty data!
The data magnification lesson is over. Let’s get to voter rolls.
If you do not think the government’s election commissions are in on the massive voter fraud inherent in every state’s voter rolls, you can stop reading here – because they are and we can prove it in state after state. Read some of our reports.
Anyone can compare voter rolls with NCOA (National Change of Address DB) and find people who moved.
Any high school math kid can run statistics against voter rolls and find anomalies growing on trees.
Any tech quant, living in their parents’ basement can run an obscure algorithm showing vote numbering inconsistent with historical patterns.
Come to think of it, in 2021 and 2022 these guys were everywhere – and they didn’t remove fake voters.
We know phantom voters are the seed bed for fake ballots – the ballots aren’t fake, they are quite real, but called “fake” because they aren’t voted by the name on their envelope.
We know fake ballots are mailed, at industrial scale, to legitimate voters, fake voters, dead voters, voters who moved.
The Omega4America election system is used by voter integrity teams to show, by cross searching personal property rolls, for instance, that Phineas Phrogg votes and lives in an address that is an Ace Hardware Store. That should be enough to get Phineas off the voter roll.
What if it isn’t?
The UnDeliverable Ballot Database is not a “bad address” list.
It is real time – almost, depending on the data – using snapshotting technology developed with the Wisconsin voter integrity team. It picks up changes in multiple data sources – constantly!
Here are examples from 2020 and 2022:
Phineas lives at an apartment building with 125 units. The property roll tells us it is a multi-family unit, but Phineas does not have his UNIT or APT number in the election roll – so a ballot is going to Phineas, but he won’t get it.
We can know this for every apartment building in every state, in every county in America in 90 days.
Maybe right now might be a good time to take action to either get Phineas’ APT number in the voter roll or get him off of it?
