Jikkyleaks 🐭 Profile picture
Dec 27, 2022 β€’ 19 tweets β€’ 8 min read β€’ Read on X
HOLY CHEESE πŸ§€πŸ§€πŸ§€
I have discovered something that should lead to the immediate investigation of the TGA and every drug regulator

Two FOIs prove that there were batches of #Pfizer vaccine that had killed people and should have failed the batch analysis.

But they kept jabbing. Image
You don't need a science degree or a molecular biology PhD for this. You just need an eye for patterns. Here is FOI 4077 just released.

Each row is a person who died. They died because they believed the TGA ATAGI MHRA JCVI FDA mantra of "safe and effective", which was not true ImageImage
In the report, which is only a fraction of the 900+ deaths reported to the TGA, only a few batch numbers are documented.

Here is the document (it's been archived)
tga.gov.au/sites/default/…
So any batch number that appears more than once is a red flag. The obvious ones are FL5333, FH3221 and 000062A.

What are the odds that those batch numbers appear in a freedom of information request put in on the 6th December 2021, which was partially rejected? Image
For context, there are 382 batches on the TGA's batch analysis report.

tga.gov.au/batch-release-…
From FOI 3471 the requested primer sequences and Batch analysis of FK8917 (which no longer appears on the TGA's website) were rejected, but they did provide batch analysis of the other batches requested - of which two (of 4) appear on the "death batch" list.

What are the odds? Image
BUT - in the 57 documents there was something that stuck out and which I posted about earlier in the year.

Because this account was suspended, that information was hidden from the public.
This goes all the way back to April or before.
So this is the bombshell.

▢️The Agilent curve showed irregularities in the RNA analysis that was ignored by the TGA.

Here they are. Note the batch numbers
FL5333, FH3221, FK0738 and FL7649 - all death batches. ImageImageImageImage
To illustrate what I'm talking about I've put a big red arrow on the point of interest. Subtle eh? ImageImage
Now that hump (at about 3000nt) shouldn't be there. There is a smaller one at about 2000nt.

That agilent analysis (which should show a spike at the size of RNA of interest) shows RNA contamination.

There is RNA there that shouldn't be there
To illustrate the point further there ARE batches that don't have these humps. This is what an Agilent analysis of a relatively pure RNA should look like.

A nice smooth transition from the main spike. No humps.

These batches are not in the death log. ImageImageImage
Do you know what else is not in the death batch log?

Any of the 7 batches reserved for Pfizer employees.

No, I'm not kidding:
FF0884
FA4598
FE3064
FA7338
FA7812
FC8736
FC3558

tga.gov.au/batch-release-… Image
So, on the information that we have available (which is restricted) we must conclude that the contaminated batches lead to deaths which were not investigated and the contamination was ignored.
Of course, the TGA can tell you that they "didn't know" that these agilent curves showed contamination.

You know why?

Because they didn't know how to handle genetically transferable material. The very definition that should have meant referral to the OGTR. Image
And you know what else the TGA (and equally the FDA, MHRA and EMA) didn't know about this novel gene technlology?

Everything.
We asked them.
They had (and have) no idea what they were dealing with.
They just approved it because someone told them to.
And people died. Image
Just a note of thanks to the helper mice that have bravely put themselves out to make these requests.

You know who you are.
I should just add this extra bombshell from a few days ago here...

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More from @Jikkyleaks

Dec 5
Just putting this into context. @DrCatharineY was originally DOD then published on a DARPA grant. One of her few co-authors is Stephanie Petzing of the "Center for Global Health Engagement"

All one big OneHealth family to nudge you into believing this @epiphare slop is real.
For the explanation as to why these "real world data" with "data not available" publications are absolutely junk and shouldn't be accepted to any major journal please see
arkmedic.info/p/pharma-hell-…
Dr Young (DARPA/DOD) is clearly now working as an ambassador to cover for the actions of the corrupt Biden regime who we are learning covered up huge amounts of adverse events from their COVID program whilst funding pharma in the "cancer moonshot"

oncodaily.com/stories/cathar…
Read 10 tweets
Nov 29
WHOAπŸ’₯πŸ’₯πŸ’₯πŸ’₯

It looks like we found our vector.
They moved from spraying live (cloned) viruses to putting them in drinking water.. which we thought wasn't possible due to chlorine.

Well, it turns out that it is, if you use a stabiliser.

#Spraygate takes a new turn πŸ‘‡πŸ§΅
The @NIH told us that they stopped funding GOFROC research but they clearly didn't.

This is a modified live virus. That is, they took a pathogenic influenza and genetically modified it and propagated it using infectious clones (reverse genetics).
nature.com/articles/s4154…
"MLVs were diluted in distilled water containing Vac-Pac Plus (Best Veterinary 418 Solutions, Columbus, GA, USA) to neutralize residual chlorine and adjust the pH"

That stops the chlorine killing off your "MLV" aka engineered virus.
bestvetsolutions.sharepoint.com/Product%20Info…Image
Read 8 tweets
Nov 26
There are a lot of pharma agents celebrating on twitter recently because the now-conflicted @cochranecollab dropped their standards and published something on HPV vaccination they didn't understand.

To explain it you need to understand the difference between the two studies quoted.

The first (Bergman) analysed a bunch of real studies (including RCTs) and concluded that the effect on cancer couldn't be seen - despite nearly 20 years of follow up.

The second (Henschke) cherry picked a bunch of "real world data" studies and concluded that the vaccine prevented a gazillion cervical cancers, pretending that it analysed 132 million patient records. It did nothing of the sort. What it did was look at two studies, take out the bit where it showed that the vaccine increased the risk of cancer (Kjaer 2021, over 20s) - replicated in multiple country statistics, split them into three studies, ignore the other studies showing the opposite, and ignore the fact that none of this data is verifiable.

Notably, one of the major studies (Palmer 2024, which was found to be seriously flawed) has been excluded from the meta-analysis because it did not show a cancer benefit in the under 16 age group.

It is very difficult to "fix" a randomised controlled trial.
It is very easy to "fix" a meta-analysis of observational studies where the data is "not available".

There is a huge difference between "real" studies and "real world data" studies because the latter are cherry picked or even fully synthetic, and the authors don't have access to the data. They are produced by vested interests groups to sell a narrative.

This was the most corrupted review that Cochrane have ever performed and this time they shot themselves in the foot by contradicting their own reviews.
cochranelibrary.com/cdsr/doi/10.10…

@PGtzsche1 @MaryanneDemasi @SenatorAntic @DrJulieSladden @Fynnderella1 @missyTHX1138 @RWMaloneMD @RetsefL @BrokenTruthTV @RMConservativeImage
Image
"Scotland HPV vaccine study flawed" - explaining how the Scotland data on HPV was misrepresented to show an effect that wasn't real

blog.maryannedemasi.com/p/the-hpv-vacc…
How "real world data" papers claim to use electronic health records data but can't be verified and in many cases are not even real.

@ClareCraigPath
#Surgisphere #Penngate #EMRgate
arkmedic.info/p/pharma-hell-…
Read 4 tweets
Nov 24
Thank you @davidbahry...

your childish insults drew my attention to your lab's quite incredible paper confirming that chronic activation of cGAS-STING, as happens with plasmid-contaminated vaccines, causes cancer.

@Kevin_McKernan @MaryanneDemasi
pubmed.ncbi.nlm.nih.gov/40463121/Image
Image
@DavidBahry @Kevin_McKernan @MaryanneDemasi @JesslovesMJK @Fynnderella1 @DJSpeicher @DrJulieSladden Paper here
pubmed.ncbi.nlm.nih.gov/40463121/
@DavidBahry @Kevin_McKernan @MaryanneDemasi @JesslovesMJK @Fynnderella1 @DJSpeicher @DrJulieSladden Pro metastatic impact of chronic cGAS-STING activation
pmc.ncbi.nlm.nih.gov/articles/PMC10…
Read 5 tweets
Nov 22
WHOA!

Retraction Watch busted for collusion with Rolf Marschalek, who is not only part of BioNtech's Goethe university..
but - get this - their Corona fund was pump primed by the Quandt family - infamous for their role in Nazi Germany.

You just can't make this stuff up. Image
Image
Image
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Receipts - Quandt family values
dailymail.co.uk/news/article-2…
Read 7 tweets
Nov 2
Can you see how this works?
I ask for rationality, and the Stew Peters brigade jump in.
Now I'm advocating genocide.
Apparently.

The people running these accounts have a LOT of money behind them. They target credible accounts for discrediting. That's their job.
The dude keeps going, but betrays that this is a copycat to a bunch of accounts linked to one dubbed "Penguin" that only appeared when I pointed out the Joe Sansone scam that is being coordinated by Sasha Latypova to derail legal cases.

Unhinged.
"DARVO bioterrorist agent". 🀦

This is the level of well poisoning that is part of the Sansone-Ruby-Latypova scam.

Good luck with this one in court.

@BlackTomThePyr8
Read 7 tweets

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