Election Data Analyzer

In case you have not taken the above poll and can't see the results, 20 people responded saying they can change their registration record on the internet this includes the Party designation. I don't know how many states that represents. I find this to be outrageous. You simply have to attest to the accuracy of the data change and enter for example, a birth date and last four of SSN or some other personal information like that. No multi factor authentication, no bot protection, no passwords, no account verification....Is that legal?

1. In person voting with ID on one day 2. Paper ballots 3. Hand counting 1+2+3 = REAL ELECTION RESULTS

On the above post, I want re-iterate one point made in the presentation, this is not the fault of the good people who work for the Clerk's office. Be nice to those people, they are good Americans just following procedures.

Folks you have to watch this. Let me summarize it for you. The Tabulators that count the mail in ballots are controlled by an algorithim. That is what the data here is showing. We need the images of the mail in ballots to compare to the tabulated numbers for each batch. https://rumble.com/vt7w5g-how-to-not-run-a-fair-election.html

So that is it folks for this case study on the Togglers. I am going to focus behind the scenes with the canvass group on this special subset and see what comes of it. The goal is to use whatever resources are at your disposal to focus on potential problems given oddities in the data that don't make sense. EDA and TPDA can help you do that. These tools are not "fraud finders". You have to interpert the data and decide if something is worth investigating or if it is a big nothing burger.

And finally, because I have assigned the TYPE to Voter registration record itself, you can now correlate the Reg Date to the TYPES. Looks like most of the Bad Address came into the picture 3rd Quarter 2020. Not many of them, but enough to ask questions.

I assigned the TYPE to all the Togglers by inspecting every single one on a map using the EDA MapIt Tab. This took about 4 hours. Here is the break down by TYPE. If you are setting up a Canvass, I think this is super important to understand before you start.

I assigned the TYPE to all the Togglers by inspecting every single one on a map using the EDA mapIt tab. Here is the break down by TYPE. If you are settig up a Canvass, I think this is super important to understand before you start.

There is a special subset of Togglers who live together and look to be married couples, 60 of them to be exact. The amazing thing is that they Toggle together, same dates, same values.

Many of the Togglers like to register right before an election, then change the Party Affiliation within 6 months after the election. This is 2020. The date of registration is on the X Axis, the number per registering is the Y Axis.

This is the entire subset of Togglers broken down by Party. The % REP in this graph (the size of the REP wedge) is about 3X higher than the % REP in the entire County (not shown).

Then of course there is the largest group of 3 time Togglers. Look at the variety in this group, impressive. I wonder how many of these are really want to be a 4 time Toggler one day? So close.....

At the other end of spectrum are the small but elite group of 4 time Togglers. These folks just can't stop thinking about which Party they want to connect with.

Let's look at a sample of the group that changed 1 time. Astonishingly enough (to me at least) most of these decided to update the party between Apr and May. I don't have the % for you because as I said above, I have run out of time for this deep dive. But you can visually see it. Everyone seems to want to become Unaffiliated in May. Maybe folks are finally getting out of the house because it is Spring and just want to "Go Unaffiliated".

Party Togglers Case Study Wrap Up. I have to bring this to a close today and move on to other topics. There will be a number of posts with charts and some commentary to follow. To recap the baseline for those of you who may not have been following along, this is a county of about 250,000 people and I am looking at 5 time periods over six months, specifically at the Party affiliation changes through time. Here are are basic counts of the number of affiliation changes. 550 voters changed the registration once, 7 twice, then 953 three times and finally 4 four times in 6 months.

You are going to want to share this: Our lineup for the next couple of days has changed. I would love to scorch earth Jovan, but that lying fraud can wait. Tomorrow we need to bring you all the details of the fraud in Wisconsin and Colorado. Monday morning 9 am MST we will have Timothy Ramthun, State Representative from Wisconsin, who HAS ALL THE PROOF AND HAS PRESENTED IT on. When I mean all the proof, I mean all of it. The people standing in the way are not just Democrats, they are ESTABLISHMENT REPUBLICANS! These pieces of trash do not want truth, they want to hide the truth. Tim will walk us through the resolution and the proof. I will post it here for you to review as well. YOU are not going to want to miss this. Monday night at 5 pm MST we will have Draza Smith and a surprise guest to review the ABSOLUTE INDISPUTABLE PROOF of the fraud in the DOMINION VOTING MACHINES in Colorado. We will talk about the findings in multiple states and the reality of the theft being IN THE MACHINES. Eric Coomer should tune in. TUESDAY at 9 am MST we will go through the fraud history of Dominion Voting Machines, ES&S, Smartmatic etc and the people in it, connections to China, Serbia and... Ukraine? There is so much to discuss. Tuesday at 5 pm we have Ivan Raiklin and he is going to be bringing the receipts... They are all connected. The fraud in PA, and the RINOs and radical left. connected. The fraud in WI and the RINOs and the radical left, connected. This will be revealing and awesome. The infighting did not start till the public opinion got to 59% "we know the election was stolen". This week will be revealing, this week will set the stage for turning up the gas. We may have a bunch of special segments... stay tuned and TUNE in Monday...

Step 1: Identify your population of interest on the registration roll. I used a county with about ~250,000 registrants. Next, run the EDA analysis for the entire county and set the file aside. Step 2: Obtain four additional sets of registration data for that same county at intervals you determine. Mine were 1-2 months apart for 6 months. Step 3: This is the hard part because I have not released the algorithim I used to identify Party Togglers in the TPDA file, but, you might be able to figure something out. Using the 5 registration rolls, find the Voter IDs that Toggle Party or change Party between successive Periods. Use the Period 1 Voters IDs as your primary key to track these changes through time. Step4: Extract the subset of Party Togglers from this ad hoc analysis. Step 5: Go back to the original EDA file now and using the Filter01 tab, extract out ALL of the data on those Voter IDs. Step 6: Run a second EDA analysis on that subset of Party Togglers. Step 7: Using the MapIt tab on the second EDA file, assign ALL of the IDs a Type. Now you are done and can look at the output to help inform how you want Canvass or follow up in others ways with the BOE. The EDA files can also be used to generate canvass walk lists. Now some charts....