For those enquiring about whether hospital episode statistics confirm an increase in miscarriages... the data is early.
NHS data only goes up to March 2022.
It's massively confounded but read on.
Here is "bleeding in early pregnancy" (O20)
7-sigma increase
NHS episode statistic 2017-2022:
"Maternal care for fetal problems"
ICD code O36. 4.7 sigma increase
There are others, e.g. diabetes (7.1 sigma increase)
But there are two codes which behave very oddly, that based on the other codes you would expect a rise but are either the same or lower number of episodes.
There is an explanation so hold on...
Here is "spontaneous abortion" aka miscarriage.
The miscarriages are higher than the previous year (when there were more pregnancies) but lower than the previous years.
What's going on?
Why did miscarriages fall so dramatically in 2020?
The clue lies in O04 - complications of induced abortion. These *halved* suddenly in 2020. Why?
In 2020, the same NHS who told you to stay at home if you had pneumonia also told you to keep out of the hospital for your abortion.
Where abortion care moved to the community it did not generate a hospital episode, so the number of hospital episodes went down.
Good luck getting the information on miscarriage numbers outside of hospital since 2020. Conveniently the ONS "do not hold this information" ons.gov.uk/aboutus/transp…
So all we can say is that under the likely same circumstances, hospital managed miscarriages are 5% up on the previous year, and we do not know how many were managed in the community.
We can try and adjust for the drop in 2020 which would look a bit like this...
What we can say though is that many of the complications of #pregnancy that must be managed in hospital, such as ectopic pregnancy, have increases that are unprecedented (7-sigma).
Despite a drop in birth numbers.
That's a massive safety signal.
And remember that most of the COVID vaccinations given in pregnancy were in the 2nd-3rd trimester, where they don't influence miscarriage rates.
A *doubling* of the miscarriage rate from 10% to 20% in 10% of pregnancies would give a graph that looked something like...
Yep.
And even without adjusting for community cases, if 5% of women received a COVID vaccine in the first trimester and the miscarriage rate doubled from 5% to 10% you would get a 5% rise from the previous year's numbers.
Exactly the figure seen (see ALT text for calculation)
Source for the above all taken from NHS digital hospital admitted care activity:
Just a reminder that Sam Neill had exactly the same "rare" T-cell lymphoma that Michel Goldman developed after his COVID vaccines.
Goldman published his own case report. After the backlash he was forced to falsely claim that the vaccines "had saved millions" - yet he stopped taking the COVID vaccines that gave him lymphoma and he is still alive.
Sam Neill's death is being weaponised by vested interests to claim that the experimental CAR-T gene therapy that was used for him "worked".
If you see someone claiming that CAR-T therapy "works" remember to ask them whether they have vested interests in it. Most media accounts that are pushing it do. It is a high risk gene therapy that has no proven and verified success in the treatment of cancers.
Meanwhile it is also important to remember that these very lymphomas were predicted to be a consequence of spike producing vaccines - because independent research showed it. But that research was quashed by the @NIH. People died as a consequence and are still dying.
The only journalist who was prepared to cover this story is @BrokenTruthTV
He is still waiting for the @NIH to release the 490 pages of emails that they refused to release that contained information on the suppression of this scandal.
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%"?