I’m typing this on my iPad because my 2019 MacBook Pro has gone dark. Died. Kaput.
So… until I get a replacement, this iPad is all I have to communicate with you for the time being. Using this device is not as easy as the laptop is, especially when it comes to posting here.
However, I will try my best to bring you those items and thoughts as much as I can until a new laptop joins the family!
Meanwhile, i found this on X, and it confirms what many of us have long suspected. The COVID shots were administered in numbered batches. It was a test to see who would die from the various ingredients.
by Sabrina F. @itsmeback on X
(translated from Italian)
💉 EVERY VACCINE BATCH HAD A DIFFERENT FORMULA. THE BATCH NUMBERS PROVED IT.
They didn’t give everyone the same dose. They gave everyone the dose they had been assigned. Now the list of assignees is the proof
Not a theory.
Not an interpretation!
A dataset. Twelve thousand batch numbers. Compared with the adverse event reports submitted to VAERS.
The correlation is perfect.
The researchers, a team made up of 4 statisticians, 2 pharmacologists, and 1 former FDA regulator, published their findings on a decentralized server on Wednesday. The document is 147 pages long. Peer review was impossible: no journal would publish it. So, they published it directly to the public.
What they discovered: some batch numbers showed a number of adverse events 4,000% higher than others. Not noise. Not a manufacturing defect.
A deliberate and systematic project.
Batch numbers: almost no adverse events. 20A-20F: saline solution. Placebo.
[3] Labeled water.
From batch numbers 21K to 21X: moderate adverse events. Batch numbers ending with: fatigue, myocarditis, clots, hospitalizations 300% higher than average.
Batch numbers ending with 22R to 22Z: catastrophic events. Strokes, cardiac arrest, neurological damage. Mortality rates 8,100% higher than any pharmaceutical product in history, statistically.
Three levels. Three formulas. Distributed in such a way that no hospital, no city, no demographic group received enough catastrophic doses to produce an obvious statistical signal.
They diluted it enough to call it “rare side effects.” But it wasn’t rare. It was deliberate.
And the way they were distributed wasn’t random.
The catastrophic batches were sent disproportionately to specific zip codes.
Zip codes with a high concentration of military veterans, first responders, and independent professionals. Communities with a history of poor compliance with federal requirements.
The most dangerous doses were administered to the people most likely to resist.
The moderate batches were sent to urban centers with high media consumption: populations that would report mild symptoms, be told it was “normal,” and return for boosters without asking questions.
Politicians, media figures, and pharmaceutical executives received the placebo batches.
The people who appeared on television. The people who told you it was “safe and effective” while getting injections of saline solution.
They got the same injection on television. But they didn’t receive the same formula.
Now the 12,000 batch numbers have been mapped. Every batch. Every location. Every outcome.
The data is archived on the blockchain. It can’t be deleted. It can’t be erased from collective memory. It can’t be debunked.
The team’s former FDA regulator presented the dataset to the military tribunal with a comment: “This wasn’t negligence. It was truly a ploy to mask a weapons deployment protocol at the expense of public health.”
The tribunal admitted it as evidence on Thursday morning. GT-2026-0441. Case number.
Every batch number is a fingerprint.
Every adverse event is a testimony. Every death certificate is an accusation.
CODE: BATCH-NUMBERS / THREE-LEVELS / TARGETED – BY – ZIP – CODE / GT-2026-0441
…
info for the USA, for other regions of the world search (outside USA):
howbad.info
howbad.info/pfizer.html
howbad.info/moderna.html
howbad.info/janssen.html
Check statistics on individual batches:
knollfrank.github.io/howbadismybatch/howbadismybatch.html
