Jikkyleaks 🐭 Profile picture
Jan 21 β€’ 13 tweets β€’ 7 min read
MORE STINKY CHEESE πŸ§€πŸ§€πŸ§€

#thalidomideViki quotes the discredited @thelancet again, because it suits her agenda.

This study should be completely disregarded as real because data sharing is declined - again.

Every study Viki posts is not verifiable.

But there's more...
Immediate red flags are differences in the groups, such as the higher prevalence of smoking in the "COVID" group which hasn't been seen in real world studies. And the smoker group had the exact same educational history - you don't usually see that.
Always worth looking at the supplementary to look for inconsistencies in published data.

These figures on a test negative design show that the "effectiveness" was only 9%. Bearing in mind miscategorisation bias, this means there was negative efficacy against infection.
And, as we have seen previously, these non-randomised studies bias towards smokers in the unvaccinated group, which is the primary driver for preterm labour.

Oh look (RR=0.78, p<0.05)
Table 3b gives the outcomes for those pesky "unvaccinated" women by COVID status, showing the only fetal outcome difference was preterm birth, which could entirely be accounted for by the group smoking rates.

This is a sham.
Remember @thelancet via @richardhorton1 published the laughable #surgisphere fraud for which they have never apologised.

They just keep churning out unverifiable pro-pharma drivel, never allowing the data to be independently verified.

And now the paper turns quite dark.

The UK maternal mortality rate is 7 per 100,000 births (2017).

In this series of unvaccinated women there were 4 deaths. This should not have happened. The probability of 4 deaths in 1732 patients... 0.00001
Note that the table 3b breakdown was not published for the vaccinated women, demonstrating an innate bias by the authors.

And one death has been removed in table 5, which should have 5 deaths in total if there was one death in the vaccinated group.
If there truly were 4 or 5 deaths in this series of 2738 pregnant women, the whole trial group should must be audited because this level of maternal mortality is off the scale.

Of course #thalidomideViki and #ACIPKevin wouldn't be interested in any of this...
Because they don't read the supplementaries and they don't understand the limitations of the data and they don't understand clinical trials.

They also don't understand that when 50+ authors "write" a paper 49+ of them had no input into the calculations or validation.
So I am going to charge @thelancet to prove that this paper was not ghost-written and to release the full anonymised data set - or retract the paper.

And one last thing...
@franklin_reeder @Double_Christ @TonyNikolic10
Those 5 deaths... 4 were in the unvaccinated who received antibiotic treatment at a lower rate despite having "more COVID". Which likely means they had treatment withheld compared to the vaccinated group.

If that was the #3tablets needed for post-viral pneumonia...
It would suggest that those women were treated with prejudice, which resulted in their death.

So I am calling on EVERY death in that paper to be criminally and independently investigated.

Because it's happening.
Don't believe me? Read this:
thewayout.substack.com/p/the-war-on-l…

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More from @Jikkyleaks

Jan 21
BREAKING... Disturbing analysis of the new finding from @MartinaSisters regarding #SARSCOV2 spike protein sequences in a pseudomonas vector.

More smoking gun evidence of lab origins.

SHUT IT DOWN - NOW.

@chrismartenson @Daoyu15 @DrNo_Reformed
adeno-news.com/2023/01/20/bre…
There is something fishy going on with this NCBI record. The Protein record was updated in a hurry after the discovery of this protein, with a reference to a seemingly unrelated Nature paper from 2003.

The lead author on the 2003 reference is the supervisor on the 2018 ref ImageImage
The original 2003 paper from Thien-Fah Mah was written as an affiliate of Dartmouth Med School in New Hampshire.

But the current gene sequence from the 2023 entry is authored in a CCP facility in China
ncbi.nlm.nih.gov/nuccore/242186… ImageImage
Read 8 tweets
Jan 20
Damning:
@kevinault @vikilovesfacs and @ztkelly were recruited by @projecthalo to coerce pregnant women to taken an experimental therapy in pregnancy by selling a lie that COVID caused stillbirths and deaths and the therapy prevents them.

lawhealthandtech.substack.com/p/the-doctors-…
The chart is from a breakdown of the recently released Scottish ICU report, which includes pregnancy data and attempts to scare the reader into believing that there was a pregnancy COVID catastrophe in 2020.

Their own data shows there wasn't.

lawhealthandtech.substack.com/p/the-doctors-…
The three musketeers of #PregCOVID were either lying or were being given information that they sold to you that was false.

So, who gave it to you Kevin? Viki? Teresa?

Why did the ICU admissions only rise after the "vaccine" rollout?
Read 6 tweets
Jan 20
But Vicky's misinformation unravels when we see that she is quoting a paper from Jan 2022 when the majority of the women in the analysis were "unvaccinated". Base rate fallacy anyone?

PS. Vicki is a #muttoncrew member.
Only 12% of the cohort had a "vaccine" but of course these would occupy a lesser proportion of risk-days, because they occurred later in the study period.

Vicky is disingenuous or doesn't understand medical statistics
@profnfenton @MartinNeil9
@profnfenton @MartinNeil9 And the vaccines were only being taken up really from June 21, for a study period ending Oct 21 (and starting March 2020).

So the risk-exposure time was much lower for vaccinated women.

Base rate fallacy.
Read 4 tweets
Jan 19
Every lie will eventually be revealed.

@VikiLovesFACS and @kevinault have been pushing untested COVID vaccines for #pregnancy on the basis of a reduction in preterm labour risk.

It was a lie.
ncbi.nlm.nih.gov/pmc/articles/P… Image
This has happened with every paper looking at 3+ doses. When you look at the 2-dose patients in those studies, the claimed benefit disappears.

It's because the original findings were just an artefact. The benefit was fake.
ncbi.nlm.nih.gov/pmc/articles/P…
@MartinNeil9
This is literally the definitive debunk of the first COVID vaccine study - the Dagan study.

All the "efficacy" was just miscategorisation bias because all cases prior to 5 weeks post-jab were counted as "unvaccinated"

zenodo.org/record/5243901
Read 7 tweets
Jan 17
.@elonmusk this is not OK

The engagement on this account is high, twitter blue is enabled and there are 40K followers

This important tweet was suppressed within 2 hours of its posting, having had 100 RT within minutes
I have been at this long enough to know when a tweet is gaining traction organically and when it is being suppressed.

This one has been suppressed and the shadowban is in place.

You asked for $8(US) a month - fine so I agreed. Nowhere in the T&C does it say...
That you could or would (under set circumstances) shadow ban the account.

Nothing in these tweets is false, misleading or offensive (except maybe to people who make false claims about things that they are selling).

You even said this
help.twitter.com/en/using-twitt…
Read 5 tweets
Jan 17
New Cheese πŸ§€πŸ§€πŸ§€on #Blotgate - The emerging scandal that keeps on giving.
The EMA and FDA reviews of the Pfizer BNT162b2 molecular biology assays were not independent reviews at all.
Pfizer wrote their documents.
@chrismartenson

The paper that David is referring to is published as a "peer reviewed" paper in @JPharmSciences

Except it wasn't that at all, it was a submission by Pfizer in response to the EMA and FDA questions posed in relation to their gene therapy product.
[PDF: jpharmsci.org/action/showPdf…]
It has simply been reconstituted as a "peer reviewed" manuscript.

These are the claims in the paper but they are not shown to be true.

Let's ignore the "safe and effective" claim for obvious reasons
Read 19 tweets

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