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04:48
183
A: Do COVID-19 vaccines cause two deaths for every three deaths they prevent?

0xDBFB7A series of comments on the article's PubPeer appears to entirely invalidate the paper's conclusion; the paper commits several classic errors which have been previously discussed on skeptics.se. First is misuse of adverse event databases, exactly as discussed here. These sorts of adverse event da...

This is a lousy answer, but it's what I've got for now. I recall seeing a much better example of a correctly produced risk-reward analysis somewhere regarding blood clots and age groups, but I cannot find it offhand. Other possible improvements might include the types of statistical mining that are done to establish causality, maybe an example of the number of deaths expected after a certain time period based on chance (Poisson process?), a better rebuke of the 95% underreporting figure.
Just to make sure it's clear - the numbers in this answer are to demonstrate the math error. 32000 people have not died of the covid vaccines, which after 300m doses are causally linked to 0 deaths to the best of my knowledge.
Just to note in connection with "The database used by the authors specifically states that it cannot be used this way." The authors didn't use the CDC VAERS database, though the database does say reports are not necessarily caused by a vaccine.
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"suffers from its own success" : This is similar to the classical example of a very effective heart medicine being introduced, and then decades later observing that the cancer deaths increased significantly among those who used it. Then mass hysteria ensues that the aforementioned medicine causes cancer. However, in reality it didn't cause cancer at all, it just reduced the prevalence of the biggest cause of death, but as people are not immortal, most would then later die of the second biggest leading cause of death.
Your absurd example is instructive, but you might want to add it assumes the vaccine is 'practically' 100% effective. If you then alter the thought experiment to assume the vaccine is (e.g.) 90% effective, then some significant number of additional people would die (and be included in the adverse event after vaccination list) - but they are dying of Covid-19 (inadequately protected by the vaccine), not dying of the vaccine. This rather demonstrates the absurdity of using the adverse event list for this purpose...
... equally you could run a thought experiment where 100% of the population were injected with a saline solution 0% effective vaccine, and the "adverse event" math would hold the vaccine responsible for every subsequent death in the US (Covid-19 or otherwise).
04:48
We have the same uncertainty with COVID deaths (at least in Germany), the statistics state they died "from or with" COVID. Some people just happen to test positive, even when they died from cancer or road accident.
@user24582 That's correct but the base rates are vastly different, making these measures not at all comparable. This may be surprising but it's really a result of basic statistics, and well known in epidemiology.
@CJR minor correction: Both the mRNA vaccines and the adenoviral vector vaccines have been linked to a VERY rare but also very serious form of blood clotting that has in some rare cases caused the death of a vaccinated person. However, we're talking about a VERY low death rate here: in the entirety of the USA, after 300M doses, there have been 3 deaths from J&J due to these clots, and 11 cases of thrombocytopenia (including deaths). For comparison: in the entirety of 2020, the same amount of people have been killed by shark attacks in the USA.
@Nzall That's an excellent point; the viral vector vaccines have been linked to deaths. No equivalent events have occurred for the mRNA vaccines, although there is likely a very low risk of myocarditis/pericarditis in some people that hasn't resulted in any deaths as of yet (to the best of my knowledge).
The 2nd half seems to fall under "back-of-the-envelope", which isn't allowed. But the first half is perfect -- the paper is based on raw VEARS-like data, which by now we know is only used by liars; and the OP didn't do their research (since the paper's comments disprove it just fine w/o our help).
@user24582: But we have observed that deaths from cancer or road accidents remain fairly constant over time. If we suddenly see an unexpectedly high of bodies being carted out of the ICU, Occam's Razor suggests the excess are not dying from cancer or road accidents.
04:48
@abligh aren't all mainstream vaccines are practically 100% effective (at preventing death from COVID, not infection itself)?
@DanM. Something like high 90s, but yeah.
@jamesqf Unless, of course, hospitals being overwhelmed with COVID-19 cases prevented (e.g.) routine cancer screening, which led to more people with later-stage cancer.
@DanM. I am not sure I have that data to hand, but I would have thought effectiveness in preventing death was well over 90%. However, I was not asserting the opposite. Rather I was proposing a thought experiment that showed the paper's way of attributing causality of death was clearly flawed.
You know that the people who believe this statistic will refuse to accept "the database says it's not for this purpose" even though they're the same people who've been screaming "the creator of PCR says it's not for this purpose" for the last year and a half.
Even if we accept the metric, having a single death caused less than deaths prevented validates the use of a vaccine.
04:48
Honestly, given the amount of publicity the paper and this answer is getting, I really wish it was better. It's correct, but the rhetoric seems... unconvincing and hostile for its target audience. The paper is thoroughly bunk from tip to stern, and deserves a point-by-point rebuke. I really like Barry's answer.
Beyond anything else, the limited few-week timespan considered really deserves a mention, since the vaccines will work for years at least.
@0xDBFB7 For precisely the reason you mention, the paper does not deserve a point by point rebuttal. It's Gish gallop. Engaging with it is a waste of time, and won't convince believers anyway.
@user253751 what's this about people claiming that the inventor of PCR says PCR is not for what purpose? Presumably, Dr. Mullis was not referring specifically to Covid-19 since he died before the pandemic.
@terdon It's a common talking point among pro-covid-spread people.
@user253751 OK, but what is the talking point? I haven't heard this and I'm curious to know what they could possibly be claiming. PCR was designed as a way to amplify genetic sequences and it is being used as a way to amplify genetic sequences. As a biologist, I am very curious to know what these folks are claiming since I cannot for the life of me imagine what it could be. So if you could link me to something that would be great!
@terdon They say the PCR test was designed to amplify genetic sequences, not to test for viruses, and therefore, it's somehow incapable of doing that. They do not care about your well-reasoned arguments that "well testing for viruses is actually done by amplifying genetic sequences". They just latch onto any saying that discredits the hoaxdemic, regardless of actual merit. I Googled 'pcr tests are not designed for' and here's one result
04:57
@terdon user253751 Isn't summarizing it like I heard. Instead, how I heard it, is that PCR testing cannot demonstrate infection. PCR is so sensitive that it can yield a positive result from only a very small amount of genetic material. In fact, so small that using it as an infection test via nose swab could very well be giving positive results for people who were exposed, but their body successfully prevented infection and what the PCR found was the remnants of that exposure.
I've not looked into this, but it does fit with my limited understanding of PCR and viral infection.
05:10
@user253751 If I may give a little advice for commenting on Skeptics, I'm going to delete very quickly any comments meant to disparage anyone, including groups of wackadoos. We just don't do that here. Attack the arguments, improve the posts, disregard your personal feelings about anyone.
 
3 hours later…
08:26
@fredsbend I definitely heard it as "PCR test gives false positives for no reason at all (not even random bits of genetic material that didn't infect you)"
 
6 hours later…
14:38
@user253751 Well we know that's not factual. It's hyper-sensitive, ie it takes very little to make a positive result.
Which is the basis for the explanation I've heard.
14:55
@fredsbend Yes, that was my point: the talking point is not factual.
15:24
@fredsbend It's not even that. It's the inference from "presence of one very specific NA-sequence detected" to "infection" that already isn't infallible. PCR cannot 'detect' "infection".
The announced specificity and sensitivity (S/S) values mean that indeed a probe may not contain *any* nucleic acids (NA) and the tests go positive. This alone can in times of low real prevalence and high volume of testing lead to enormous rates of false positives.

Then we have contamination issues and other sampling/handling problems.

The tests then only look for one to six target genes. While they all are on the same end, a multi target scheme across the entire genome would have been advisable. But the WHO 'allowed' and since April 2020 quite a few labs did so: test for just a single gene.
 
3 hours later…
18:53
@fredsbend Ah, lest one comes up with that ref/misonfo angle for what I wrote: p14 of interest. This real-world performance test was promised to be repeated regularly.
But as you might confirm yourself, the above link is no longer valid, further results are not public, and FOIA-request from then on remain totally unanswered, for many months now. What we do have are real world studies that focus on infectiousness as measured by real-world Ct values. And those look not good at all.
But as noted, the people in charge seem to do much in their power 'to not know'. They simply refuse to do their job properly.
& A recent little 'scandal' involved an alleged calculated 'vaccine effectiveness' for that same region as of recently to be still "99%" as of late June. Even regular panic newspapers and panic mouth pieces had to admit & criticize this nonsense calculation (which back-projected current vax-rate into late Dec for the calculation). The official institution still claims 'no fault of ours'… and continues to spread this BS. Seems rather incorrigible & hopeless.
19:16
@PoloHoleSet Somehow I wonder whether that metric and evaluation has any ethics-board approval? It sounds simple enough for a trolley-problem solution, but I doubt that this cold calculation really has all its angles covered. Starters: Does this account for 'deaths surely caused by physicians' actions' vs 'hypothetical lives saved'?
 
2 hours later…
21:17
@user253751 My point is that you've got the talking point wrong. You're attacking a strawman.
21:43
@fredsbend Don't know how you can say that when @LangLangC just made the point I attacked. "The announced specificity and sensitivity (S/S) values mean that indeed a probe may not contain any nucleic acids (NA) and the tests go positive. "
21:57
@user253751 For this discussion: while 'it' can amplify indeed 'nothing' into 'the elephant', it is at the same time true, that when such a PCR test goes pos, it is 'an indication' to warrant a closer look. We indeed can't assume that 'all test are just bogus'. But here we seem to be in need of a common understanding: "What is the purpose of the PCR tests, and how are they applied, how interpreted"? In reality. In Practice.

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