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.
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.
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.
I was taught for years that @DrAndyWakefield had committed fraud - it was not true.
His prior paper - written with @PeterDaszak - showed that measles virus was a contributor to Crohn's.
The Lancet paper showed that bowel disease was a feature of severe disability after vaccination.
Wakefield had to be destroyed to protect the vaccine industry or it would have collapsed in 1998.
That is how the pharma industry works, but they can't do it alone.
In the case of the Wakefield saga, they were aided by the @bmj_latest who commissioned Brian Deer to fabricate a fake story about "fraud" because they were being paid by GSK and Merck - the very vaccine makers who stood to be eviscerated by the truth about their product's safety.
All this is documented (thread below).
The children in the paper were permanently disabled by the MMR vaccine and never, ever, got recognition. They are on track to die without ever having their vaccine disability recognised.
This is the worst travesty of the medical industry ever committed - because it was done for money.
Teenage pregnancies are a surrogate for underage sexual activity (which drives cervical cancer rates in the under 25s). In the UK they fell off a cliff in 2007 - the year the iphone came out and the HPV vaccine rollout started.
The "Swiss patient" sequence you provided not only has 2% dissimilarity from any known hanta sequence but BLASTing into the patent database gets us here.
"No name" virus.
Really?
The people running the @DeptofWar need to start going to jail.
You were lied to about the Merck measles vaccine develop in the 60s. When injected into babies it caused fevers, rashes, diarrhoea and febrile convulsions.
Why?
I'm going to show you.
@SecKennedy @RetsefL @MaryanneDemasi @DrJulieSladden @RWMaloneMD
Merck claimed that the "measles vaccine" was an "attenuated version of measles" giving the impression that it was a virus that was made safe.
That was a lie.
It was just measles, passaged in cells in a lab.
We injected our babies with actual measles.
How do I know?
Recently released Australian Road Deaths data confirm that the @epiphare study claiming that COVID vaccination reduced road deaths by 32% was, as suspected, a complete fake.
Here are the actual road deaths data plotted from the Australian BITRE data repository using a trendline for 2000-2019 (excluding 2020 as it was a quiet year)
The pink area shows the inflection and increase in road deaths over the predicted number.
Note that road deaths have a downward trend despite an increase in population (due to safety measures and slowing of traffic).
So the question becomes...
"what is the probability that - if the @epiphare study was real (showing a 32% reduction in road deaths after vaccination) - the Australian road deaths (where nearly 100% of the adult population was vaccinated) would increase by 36%"?
Debbie's tweet was about her case against @HHSGov when her son developed Type 1 Diabetes after a routine vaccine, when he had a negative glucose test prior.
So it was clearly vaccine linked, but her case was denied.
Not only was the case denied (despite clear evidence of a new diagnosis immediately after vaccination) but the case was used by the "judge" to essentially ban ANY further cases that alleged a link between new diabetes and a routine vaccine.