How much spike protein is produced in the body as a result of mRNA vaccination and how does it differ from ancestral SARS-CoV-2 spike? This will be one of the most important questions to answer moving forward. It will tell us a lot about the side-effects, among other things. 1/
I'm sure there's more to come on this topic as we're just starting to scratch the surface, and it also seems like there are big differences between people in how our bodies respond to the mRNA. Joomi goes into that a bit here: joomi.substack.com/p/could-fastin…
Feel free to send me more resources on this. I'm not quite qualified to understand all of it, but I like to try.
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Briefly, an antiviral started avg 5.1 days after symptom onset, with a primary endpoint that is triggered 3.1 days after start of treatment, when treatment is for 5 days, will be almost impossible to show benefit.
The avg patient didn't even have time to complete the treatment.
In the case of Paxlovid, the average patient in this trial would not even have been eligible to receive Paxlovid, since they would have been deemed "too late". fda.gov/media/155050/d…
True. It only prevented death (3 vs 10) and ICU admission (4 vs 10). But who cares about that if it doesn't prevent... (*checks notes*) drop in O2 levels below 95%?
Did anyone claim it did that?
Read the results of the study yourselves and then the conclusions... 🙄
Some required reading for all those playing with words like "statistically significant" without any understanding that those words have a specific technical meaning that is not the same thing as what we mean by "significant" in everyday life.
The trial had decent dosing and recommended taking the medicine with a meal, which is good practice. On the minus side, people were enrolled 5.1 days after symptoms. Which means the average patient would've been excluded from the Paxlovid & Molnupiravir trials for being too late.
I have a question for the stats-savvy people among us.
It will take a little bit of setup first, though. 🧵
In the paper "The Rise and Fall of Hydroxychloroquine for the Treatment and Prevention of COVID-19"
TOGETHER trial authors report it was stopped "for futility" because of this result: (risk ratio: 1.00; 95% CI: 0.45–2.21)
Remember us insisting we knew all there was to know & any insinuation to the contrary was a malicious lie?
Well, in the immortal words of Vox:
"Emerging data suggests menstruating people are actually experiencing what they say they are experiencing" vox.com/22935125/covid…
In other words, grudgingly accept that Malone was right 9 months ago, but not without talking down to the very same people who were right in every damn sentence.
Remember, kids: Vox is safe, effective, mild, and transient.
Security! Please remove this man from the premises.
I've not made noise about this data so far because my intent is not to highlight one country and turn it into a global conclusion. But when data is being manipulated in such obvious ways, we must assume that what we are allowed to see is basically public relations as this point.
It still blows my mind how much the good folks at FLCCC have gotten correct, and how much earlier than most, and how much shit they've gotten for their trouble.
Even if we ignore ivm & hcq, even if we assume they do nothing.
They were first and ahead of their time in recommending corticosteroids. How many did they save until their insight became accepted?
They were recommending fluvoxamine almost a year ago. How many did that save?
The painful truth that most just can't come to terms with, is that with what is commonly accepted science today, the MATH+ protocol by @Covid19Critical@PierreKory & Co would have been your best bet at any time in the past few years if you got covid. Maybe there's a case to be