Making an attempt to explain to the layman why this chart is so consequential. What you are looking at is:

BATCHES of votes (dots)

in the order they were recorded, left to right (x-axis)

placed high or low on y-axis based on D or R lean Image
Here's the first thing to understand:

Batches in the red box went for Trump

Batches in the blue box went for Biden

Notice how few batches before the very end went for Biden! Image
I've marked here the characteristic line data structures of "Central Absentee Precinct" (early + mail/absentee) returns drawn out by the chart and named them. Image
The structures A, B, (maybe C) and D are a big problem, because it's discontinuous TWICE.

Untampered absentee returns look like Minnesota's or Florida's; they settle quickly into a straight line - mixed mail averages out single-precinct votes to produce a fairly constant value. ImageImage
Let's return to our marked-up VA chart and compare it to Wisconsin and what happened with a known anomaly (169,000 ballots shipped in at 4AM CST). The discontinuity in WI vs the A->B transition in VA, and the amount + direction of the jump are extremely similar. ImageImage
Wisconsin pre-tamper absentee line settles in at about 0.9, which would be Trump winning them with ~55% of the vote.

Post-tamper it settles in just over 1.0, slightly in favor of Biden.
But Virginia's early+absentee returns line settles in far more pro-Trump than Wisconsin's: Trump is running at least 60% of the vote before the jump.

And even after the jump he's still winning more than half - the tamper failed. More was needed, the Trump vote was so strong.
Now let's take a closer look at C/D.

C may be a coincidental grouping or it may be calibration testing for D.

Other than d1 and d2, D is nearly constant. Image
What's up with d1 and d2? Are they noise, or something else?

They come after all other "noise" (scattered dots forming no shape). And they appear to be precisely equidistant from the position at the end of the first part of D. Image
Now let's examine D further.

D has a set of dots with the exact same vote ratio, then one SLIGHTLY above that to terminate the first series.

Then the second series has the same exact pattern.

The third was the finisher and no post-adjustment needed was (goal achieved). Image
I've cut the chart into pre-D and post-D so you can see how dramatic and immediate the change from chaotic patterns to total order was.

The odds of structure D occurring in nature are effectively zero. That is artificially induced if anything ever was. ImageImage
Moreover, the vertical position of D is an extreme outlier.

Here is the entire set of batches that were more Biden-leaning than the D set. Count 'em: 13 of 150, less than 10% of all returns, were more Democrat than D. Image
The structure labeled "D" is really important to understand.

Before it shows up, Virginia's election was a crushing and overwhelming GOP victory.

And D *CANNOT* be authentic. Cannot.

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More from @ProjectVirginia

12 Nov
Casual status update:

We're finalizing a couple of key documents, our Audit Roadmap. an outline of intended actions; and a more formal Audit Plan structured to industry standards for error and fraud detection.

We're absolutely buried in reports of irregularities and fraud and are combing through the info provided as fast as we can. We're partnering with to collect reports, so please submit all Virginia irregularity reports there.

Rigorous hard data analysis will start next week. We're collecting the data sets we need, and will need to build an essential dataset from original sources since it's not actually available in any other way and VDoE numbers are provably unreliable.

Read 14 tweets
11 Nov
OK I give in and I will acknowledge Pronoun Boy's argument since it is actually constructive and that is extremely rare for pronoun-confused individuals.

Here's the thread for his argument for those who wish to review it:
Pronoun Boy makes two key points.

The first concerns the y-axis being cut off at 2.0 when there are data points above it. This appears to be correct, if pedantic. There are such data points but they are very few.

These slightly, immaterially affect the later calculations.
What makes it such a constructive argument is that he has alerted us to where the data points in the gaps in "D" are - they are all above the 2:1 for Biden line and therefore confirm (probably not his intent) how anomalous and slanted the D section of reporting is.
Read 7 tweets
8 Jun
What I actually did to Crazy Lee was throw him input that I knew would result in catastrophic error conditions when processed by Marxist programming.

The unforced errors that resulted may well bring down the entire Virginia Democratic Party. #VAGOP
It's an easy trick, and anyone can pull this off.

This image, to most, is either funny, or at worst in bad taste.

To a Marxist however, it stokes primal fear and rage that obliterates any possibility of rational decision-making. Image
As most Marxists have zero self-control, this is a trivial exercise; you just wait for the errors.

If you plan ahead, though, you can also set traps, and induced irrationality completely blinds the prey to them.

As an experienced chess player, traps are my favorite gambit.
Read 15 tweets
5 Jun
OK let's talk some real.

For-profit prison companies are an abomination.

While they remain in the mix none of the incentives change.
Creating an institution that benefits from increased imprisonment results in more and more imprisonment over time because financial incentives continuously demand it.

The US rate has long been outrageous and unlike any other in the civilized world.
To imprison people you have to arrest people, so drug laws also create all sorts of perverse and corrupting incentives, especially those aimed at popular ones such as cannabis where there are countless millions of potential "criminals" to arrest.
Read 14 tweets
28 May
In case there is any confusion, Twitter lost its platform status under CDA 230 the moment it changed the character of Trump's post by adding a warning label.

That act made it the publisher of the end product and voided its liability protections as a platform.
As a result, Twitter's decision to edit Trump's post will go down in history as one of the worst business decisions ever, since Twitter's model is utterly dependent on its liability shield.

Lawsuit avalanche is coming, might not be much if anything left after.
The business-fatal mistake. They will study this in business school, in the future, on the great list of epic business catastrophes.

These edits change the character of the content as surely as when one edits a photo for comic effect. Image
Read 6 tweets

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