The biggest recruiter by far is site 1231.
In Argentina. Well of course, for a joint German-American drug where else?
Site 1231 recruited 4501 patients.
That is 10% of the patients AT ONE SITE.
ALL 4501 patients were recruited in 3 weeks.
WOW!
This is site 1231 from the @ICANdecide log
Recognise the name?
We'll come back to him in a sec....
The site is supposed to be the Military Central Hospital.
That's interesting.
It's also an interesting logo.
Seems to have given David Martin ideas for his website logo, but probably just coincidence. I dunno...
Anyway, it seems a bit odd that a principal investigator (who has to be a medical doctor) of a major international study is recruiting 4500 patients in 3 weeks at one site, without a CRO.
And working 7 days a week. No gaps. Recruitment every day incl Sat/Sun
@IamBrookJackson
Weekend recruitment for a clinical trial would be odd. Staff are needed to fill out that many record forms (CRFs) and there are potential risks to the trial, so you need medical staff. It would be highly unusual.
So who is he?
Here is his trial CV
Wait, hang on.
This is Fernando Polack.
The Fernando Polack who claims to be at Vanderbilt (USA) at the same time.
Who also happens to make appearances for the FDA...
Who also happens to work for The Infant Foundation and also happens to be funded by the Bill & Melinda Gates Foundation and the NIH
He is literally the busiest doctor on the planet infant.org.ar
But managed to find enough time to be the lead author on the #BNT162b2 paper (with all of Pfizer's scientists)
Yet while doing all this, he managed to find time to (presumably single-handedly because no other authors are listed at that site) recruit 4500 patients in 3 weeks, with each patient requiring 250 PAGES of case report forms (CRFs).
That is 1,125,000 pages of CRFs.
In 3 weeks.
But I'm sure that's totally above board until we get to the next totally above board feature of the fastest 44,000 patient study ever in history....
#site4444
WTF is site 4444?
@IamBrookJackson
There were 270 clinical recruitment sites for the Pflzer vaccine study, numbered consecutively from 1001 to 1270.
There are all listed here.
This is the last page.
There is no site 1271.
There is no other site with a number above 1270. icandecide.org/wp-content/upl…
Well that's a bit of a problem because...
There are a lot of entries in the randomisation log for #site4444.
1275 patients to be exact.
About 3% of the total.
And you know what?
All 1275 "patients" were recruited in one week - from 22nd to 27th September 2020.
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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%"?