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 earlier paper was funded by pharma and supposedly found over 300,000 patients who were taking Hydroxychloroquine and Azithromycin for Rheumatoid arthritis.
So what is the probability that two huge papers (over 100,000 patients) appeared at around the same time, in the same journal, after the #surgisphere scandal had died down, using exactly the same kind of model as Surgisphere, and not available for inspection?
@chrismartenson
@chrismartenson I should also point out that we have looked at this many times before, so this is an archival (legal) record.
OPENsafely have produced papers previously that are not consistent with the same data from open sources.
It's also worth noting that in the Lancet Rheumatology Goldacre paper, the COVID mortality rate for HCQ users was 0.2% - in the UK in April 2020.
The corresponding published mortality for the UK was over 0.5%.
For over 70's:
HCQ mortality 0.3%
UK mortality 1.2%
Over 80's
HCQ mortality 1%
UK mortality 5%
The whole cohort had similar mortality rates with or without HCQ, but the non-HCQ users were using other inflammatory modulators (DMARDs).
Goldacre's paper probably found one of the most striking cohorts (and thus treatment options) with reduced COVID mortality, but this was never investigated.
And just imagine that the massive reduction (60%+) in death rate in the #Hydroxychloroquine (or DMARD) cohort was known by Rentsch and Goldacre in Jan 2021 but they failed to declare it, and refused to release the data...
There were 78,000 COVID deaths in the UK in 2021.
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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?
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.
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.
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.
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
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.🧵
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.
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.
#taggate may become a reality in time, but for now @Kevin_McKernan has cleverly produced an assay that allows pathologists to identify *which* vaccine mRNA is present in tumour tissues.
Because so many Pharma advocates are trying to wriggle out of this really obvious fail of the COVID vaccines in preventing #LongCOVID I'll put it in a graph format, with references in the tweets to follow.
The green column is the incidence of #LongCOVID (i.e. related symptoms lasting more than 90 days after a COVID infection) in a big study published in 2021.
The incidence was only 2.3%.
This was before any vaccines and in the worst waves (alpha & delta)