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Please specify which numbers you exactly you are referring to. Slides are also irrelevant, all these studies are published. You also need to understand that there are many independent studies confirming this (many I looked at as well as colleagues I know and trust). One also need to understand the effectiveness changes over time, so numbers which are correct in some initial setting may not apply in another setting. This does not imply that somebody "lied". You seem a little bit of a conspiracy theorist interpreting everything which seems suspicious to you as proof for that you are being lied to? Like climate change deniers you assume that all researchers of the world somehow conspired to hide the big lie?

Edit: So one of the original studies cited in slides which you seem to claim was a "lie" is this one: https://www.nejm.org/doi/full/10.1056/NEJMoa2034577 This was a large collaboration of scientists (made doctors that that swore the hippocratic oath). You think the misreported the results of this study?





In order to calculate the benefits of a vaccine, you need to know the efficacy of a vaccine. The study's efficacy figures were using the CDC's data to try to assess this. The CDC, in turn, was basing their estimates on false claims from big pharma. The study then misrepresented the CDC's data (at least in the study's figure 2) through incompetence.

You are right that there seems to be a copy mistake in Figure 2. But the mistake is the wrong direction, i.e. the risk from COVID actually is even higher as shown on the figure. But again, the main problem is that you pick such an inconsistency and mistake (which you will always find somewhere), and take it as "proof" that your conspiracy theory is right, completely missing the big picture that basically all scientists and doctors working in these field would need to be part of it over many years - still faking studies. Pretty unlikely.

My pointing out the mistake is to emphasize the frequently low quality of these studies and their reviewers. Think about the fact that nobody caught a glaring (and self-revealing) mistake on one of the highlight figures. A random anon should not be finding mistakes in peer-reviewed studies in a 5 minute skim for some completely pointless argument on the internet. Yet here we are...

And I think you're increasingly turning to ad hominem and strawman because of cognitive dissonance. You want to believe their claims were true - 95% efficacy, near 100% against hospitalization and effectively 100% against death, yet you obviously know they were not. Basically everybody ended up getting COVID, usually multiple times, and hundreds of thousands of fully vaccinated individuals died of COVID in the US alone.

Why exactly they were ultimately wrong is largely inconsequential. All that matters is that they were.


You say this as if you discovered some major flaw. And is, of course, expected that also some vaccinated people die from COVID. The point is that the risk of dying substantially decreased with vaccination. Something one can only find out by doing a scientific study. And that this risk decreases was confirmed many times in many studies by many independent scientists. For example, here is a recent meta-review summarizing results from 33 studies: https://publications.ersnet.org/content/errev/34/175/240222....

Of course, I am very sure you will also find some flaw or inconsistency in this or in all of the 33 studies that you take as proof as why this is all "ultimately" wrong. But at some point you need to ask yourself: Are basically all scientists that look into this professionally incompetent or correct? Or maybe, just maybe, it is me who got worked up a little bit in a conspiracy theory and not every flaw or inconsistency is clear proof that I am right and science is wrong.


I'm not entirely sure what you're trying to argue at this point. What, if anything, and please be specific, do you even disagree with that I've said?

Basically you linked to a paper showing high rates of myocarditis following injection in the US and claimed it had a net benefit because the paper claimed so. It turns out the papers claimed benefits were based on the early exaggerated claims of vaccine efficacy, and now you're linking to something from Europe that indeed shows dramatically lower benefits than the original paper assumed.




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