Jikkyleaks 🐭 Profile picture
Sep 1 5 tweets 2 min read Twitter logo Read on Twitter
Hot cheese🧀🧀

A massive breaking story relating to @lonnibesancon who was removed from his post at Monash University for publicly denigrating Didier Raoult with offensive sexualised comments.

Not only a member of the #muttoncrew but an affiliate of @microbiomdigest.
Here is the translated article from 2021.
In essence, multiple French #muttoncrew members acted as political activists in order to undermine Raoult who merely published data on #3tablets protocols that could have saved thousands of lives

www-francesoir-fr.translate.goog/societe-faits-…
Their aim was to undermine and discredit Raoult and stop people giving #Hydroxychloroquine and #Azithromycin to prevent COVID pneumonia.

Besancon and Bik's actions likely resulted in millions of unnecessary deaths due to the #3tablets scandal of non-treatment

(see alt text) The translations for these phrases: "Son CV que tu suces si bien" "His CV that you suck* so well"  "les 4 crétins dont tu suces les boules" "the 4 morons whose balls you're sucking*"  In French the verb sucer in this context means "to give fellatio"
And this is a group that has been acting in unison for 2 years, as part of the pharma "disinformation" units who would have every medical and scientific whistleblower removed from their institutions if they could.

The Raoult affair proves it.

pubmed.ncbi.nlm.nih.gov/35239642/
Image
This scandal earns its own special hashtag.

#BlowGate

Enjoy your weekend.

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More from @Jikkyleaks

Sep 2
WHOA!

Can you see it?
Can you see what the @UKHSA did?

@ClareCraigPath @ichudov @profnfenton @DrAseemMalhotra @Johnincarlisle

gov.uk/government/pub…
@UKHSA @ClareCraigPath @ichudov @profnfenton @DrAseemMalhotra @Johnincarlisle And just before you think that there is a time lag to the data, here are the week 9 figures. They remained constant (within 1%) all through 2022 and early 2023, irrespective of how far back the data was reported from.

Until June 2023, when 2022 data all increased by 14% https://www.gov.uk/government/publications/covid-19-vaccine-weekly-surveillance-reports
@UKHSA @ClareCraigPath @ichudov @profnfenton @DrAseemMalhotra @Johnincarlisle Again, for the smarmy trolls. Please pay more attention. There are two data sets for births - UKHSA and HES.

The UKHSA pulled a bait and switch in June 2023, which is why the numbers suddenly changed, but it's purely to hide the drop.

Read 4 tweets
Sep 1
There is an implication to this MHRA FOI that is beyond what is written in the thread.

The MHRA were reading our posts and therefore knew the safety concerns that we had raised in the public interest.

Yet they did nothing.
Many people died.

@mattletiss7 @pjhlaw
@mattletiss7 @pjhlaw Example 25/6/23

@MHRAgovuk knew there was no additional efficacy to a second dose - even on the unsubstantiated and unverified data presented to them - yet approved it without long term safety data.

@mattletiss7 @pjhlaw @MHRAgovuk Example 20/5/23

@MHRAgovuk knew that they had not conducted pharmacovigilance in pregnancy despite allowing the genetic vaccines to be rolled out to pregnant women.

Read 4 tweets
Aug 27
For the record, Ben Goldacre had campaigned for years for full data transparency.
In 2017 he backtracked.
The paper is here.


This happened under Stuart Buck's grant.

The call for full data transparency died in 2017.
Pfizer would benefit in 2020. bmj.com/content/357/bm…

https://goodscience.substack.com/p/metascience-since-2012-a-personal
Also for the record there were two papers on the "failure" of #hydroxychloroquine published in the same journal, using huge datasets not available for audit, within 2 months late 2020.

The second was Ben Goldacre's OPENsafely group.
thelancet.com/journals/lanrh…
The earlier paper was funded by pharma and supposedly found over 300,000 patients who were taking Hydroxychloroquine and Azithromycin for Rheumatoid arthritis.

That is not a combination used for RA.

This paper needs to be fully audited.

thelancet.com/journals/lanrh…
Read 7 tweets
Aug 24
What if...
@francescagino refused to stay silent on #Hydroxychloroquine because she had been to Italy and knew that they had discovered that it reduced deaths by half?

Would that have been enough reason for her to be targeted for discrediting?
pubmed.ncbi.nlm.nih.gov/32859477/
Image
That large study in Italy in the early phase of the COVID outbreak not only showed a robust improvement in survival in hospitalised patients with COVID, but the death rate was HALVED in the most severe patients. Image
So what was Gino's role in Italy?

This. I tweeted a few weeks ago that this was COVID propaganda. It is. It was. It copied what everybody else was saying - that there was some novel lethal disease. We know better now of course.

#3tablets
hbs.edu/news/articles/…
Read 8 tweets
Aug 22
The difference between our side and the pharma sponsored propaganda units is that we will support people who disagree with us.

This is an excellent piece on how #DataColada have emulated #ChisquaredKyle by claiming fraud using the wrong methods.

joebakcoleman.com/blog/2023/Harv…
And here is the original paper (retracted).
It's a psychology study, so the statistics are not at a high level. This should have been picked up at peer review, but it probably passed because of the standards in that field.

pnas.org/doi/epdf/10.10…
And here is #DataColada's review of the insurance data.
The points they make are valid. The data does indeed look like junk the way it's presented here.

But Francesca Gina is not the person who wrote the paper. She was the third author.
datacolada.org/98
Read 12 tweets
Aug 20
WHOA! 🧀🧀🧀

Novavax's patent sequence coding for their "non-genetic vaccine" is different from every other SARS-COV-2 spike protein sequence (Wuhan, Pfizer, Moderna).

#NovaGate just joined #taggate

There is only one explanation.
THREAD.🧵
Image
Image
Sequence 35 in the Novavax patent (MX473662.1) is the DNA sequence coding for the Wuhan spike (with the PP mutation common to all the mRNA vaccines).

It only matches 73%. It should be 99%+.

There is no reason to codon optimise for a protein vaccine.

freepatentsonline.com/y2021/0228709.…
Image
What that means: when coding for a viral protein, they should use the same RNA sequence as the virus.

They changed the RNA sequence but produce the exact same protein.
Pfizer did too, so did Moderna.
It was partially covered in #Coptigate but there is more to it.

@eh_den
Read 16 tweets

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