Bubblegate in a nutshell

9 sworn affidavits in GA

Irregularities with batches of absentee ballots, with a similar pattern

These are sworn affidavits

1) pristine ballots - no marks, not creased
2) perfect black bubbles filled out (like printed)
3) all for Biden


And reports of ballots being recycled - we’ll have to wait on veracity of these

Suddenly the claims about Dominion become plausible

You can’t fake an election with only the computers, you need a plausible way to provide physical ballots in case of scrutiny

Finally, I looking forward to looking at this data on Philadelphia

Maybe @EthicalSkeptic or @volatilityvamp will beat me to it

This is all starting to get interesting

Maybe there’s no “there there” but at least some evidence is coming out

We shall see


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More from @gummibear737

23 Nov
This is the 2nd instance where I have seen evidence of voter fraud (1st was the bubble ballots)

Excellent analysis and the switching of absentee ballots for in-day ballots they demonstrate is crazy: their datapoint in bold

But I found something else!

revolver.news/2020/11/explos… Image
One of the things that bothered me was why the data they stream only comes with %'s for each candidate and total votes cast

It's strange because why not just broadcast votes for each candidate?

Notice how innocent the data point seems?

9,534 new votes counted...no big deal

Plus, Montgomery is the largest of the Dominion counties in Pennsylvania

Biden received 25% more votes than Hillary did in 2016

3 Image
Read 9 tweets
21 Nov
Here are some more

Some people said it looked like they had been machine printed

Also, one person observed this phenomenon on military and overseas ballots

Except that military ballots should favor Trump

Maybe there’s a simple explanation for Bub blega te, but I can’t think of one

These are sworn affidavits meaning there are consequences for lying

And nine different people all reporting the exact same anomaly

Somebody should look into this

Here are all the statements put together
Read 4 tweets
18 Nov
Public Health may never recover from its failures during this pandemic

Why? - They are making the Exact same mistakes they made during the 1980’s AIDS crisis

“Blame and Shame” is NOT how you educate people

Heavy-handed mandates with no rhyme or reason. Bringing a sledgehammer when a small scalpel is needed

Arbitrary triggers for various NPI’s. Why are we still using % positive as a guide for NPIs? (Following the viral levels in sewage waste actually makes more sense.)

School closure seems to be a PECULIARLY American thing at this point

Read 8 tweets
17 Nov
A mini deepdive on @CodeMonkeyZ’s tweets about Dominion Voting and especially Smartmatic - gets good toward the end

We start with @CodeMonkeyZ’s assessment of Dominion

He read their entire manual

First, everyone uses same encryption key...

Why? Don’t they want accountability?
Why doesn’t Dominion want you using passwords?

Do they want diffuse accountability?

Hmm, theft of USB admin access devices in Philadelphia

Nope, nothing to see here - move on

Read 19 tweets
12 Nov
Quick Update

Dr. Shiva was wrong because he didn’t take into consideration Republicans (splitting the ballot) voting for Biden and same in reverse (Dems vote Trump)

But he was right in his conclusions

Margins we are seeing don’t make sense

There is a negative slope

But, even using very favorable Dem variables (30% Rep shift to Dems vs 10% Dems to Rep)

I couldn’t reproduce existing numbers as posted by Dr Shiva

Something is off

In other words, a negative slope is correct but the angle of the curve doesn’t fit the data

It is possible that other factors are in play

Will be doing more research on this in coming days

Thus is still preliminary

Read 4 tweets
10 Nov
An interesting anomaly out of Pennsylvania

As of reporting event 360 @ 2020-11-04T22:52:52Z
Trump: 3,138,636 (+296,898)
Biden: 2,841,738

After this point:
Trump had 52,913 negative votes
Biden had 138 negative votes

Difference of 52,775 is larger than Biden's 47,525 lead

Here is the data (D1)

Red is Trump (T)
Blue is Biden (B)

Columns (L to R):
-% Dem Vote
-% Rep Vote
-Total Votes
-T Total Votes
-B Total Votes
-Difference T Votes from last report
-Difference T Votes from last report
-Negative T Votes
-Negative B Votes

Here is D2

To be fair, overall in the state the tally was:
-Trump: 402,482 negative votes
-Biden: 637,931 negative votes

But most of this happened during early counting and spans a 9 report sequence so it indicates there was some confusion

In the 1st chart, I point to it

Read 5 tweets

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