- You need food.
- Well, not _this_ food and not necessarily at this moment in time.
Whether these particular vaccines are saving any lives is an open question. Given that 1) Given the number of deaths in the two major waves in the U.S. (Spring 2020 and Winter 2020-21) and the timing of most of the vaccinations, it is not clear how much of the improvement is due to vaccination and how much of the effect is due to a wave burning out.
Over the long term, are these going to be as effective as measles vaccines? There is no way to know. However, there is some indication that the time between the first and second injection is particularly risky.
Also, I would love to see a breakdown of how many of the "unvaccinated" are people who had their first shot and waiting for the second, or people who had their second shot, but two weeks have not passed.
It is not unreasonable for people to want to wait and see before diving head first into the "volunteer for experimental treatment" end of the pool.
In no world is this statement justifiable. It is obvious from hospitalization & fatality rates of unvaccinated vs. vaccinated people that the vaccine has already saved many lives and was also probably a strong contributor to that "wave burnout" in the first place, especially looking at a country like Canada
> there is some indication that the time between the first and second injection is particularly risky.
There is no indication that getting one shot puts you in a "particularly risky" position. It is clear the vaccine only achieves partial effectiveness in this time, but that is not "particularly risky", that's slightly reduced risk against the null hypothesis of being unvaccinated. I challenge you to post any literature which shows anything about increased susceptibility of one shot vs no shots.
> It is not unreasonable for people to want to wait
Tell me, what numbers have you set in your head to make it reasonable to "trust" the vaccination? To me, seeing the Phase 3 trials without significant side effects was plenty. Now, we have probably 10+x that data over 2-3x the timespan, and the risk picture has not changed. What tipping point(s) will you consider?
I have an idea. What if we did a randomized control placebo group and compared death rates. That is the gold standard, right? Well they did that, and the placebo group and vaccine group had the same death rate (their next move then was to end the placebo group).
I would be surprised if it turns out the vaccines don't save lives, but I haven't seen any clear cut proof that they are, given that the one experiment that would have proven it conclusively didn't, and then was ended early. So I think it's a perfectly justifiable statement and point of view.
Who is "they" and why did you not source this claim?
Regardless, given the current state where 99% of people hospitalized with COVID are unvaccinated, I find it nearly impossible to imagine the idea that "death rates are the same between vaccinated & unvaccinated" wouldn't just immediately fall apart under your proposed experiment.
Long-Term Studies Of COVID-19 Vaccines Hurt By Placebo Recipients Getting Immunized[2]:
> Tens of thousands of people who volunteered to be in studies of the Pfizer-BioNTech and Moderna COVID-19 vaccines are still participating in follow-up research. But some key questions won't be easily answered, because many people who had been in the placebo group have now opted to take the vaccine.
Pfizer and BioNTech speed up timeline for offering Covid-19 vaccine to placebo volunteers[3]:
> Pfizer and its partner BioNTech plan to offer their Covid-19 vaccine to any clinical trial volunteer who received placebo by March 1, several months earlier than initially planned.
[1]: https://www.nejm.org/doi/full/10.1056/NEJMp2033538
[2]: https://www.npr.org/sections/health-shots/2021/02/19/9691430...
[3]: https://www.statnews.com/2021/01/01/pfizer-and-biontech-spee...
The documents show that the placebo arms were terminated prematurely and the fact that there is agreement that they are still needed.
Here is Moderna[1]. If you look at Table 19,
Vaccine Placebo
Death* 4/15184 (<0.1) 4/15165 (<0.1)
Here is Pfizer[2]. If you look at Table 14, Vaccine Placebo
Deaths 2/21621 (0.0) 4/21631 (0.0)
Locating relevant information for other vaccines is left as an exercise for the readers.It's literally in the FDA reports (https://t.co/tIJN9pkE1B?amp=1).
The relevant line highlighted: https://twitter.com/breckyunits/status/1348080756921303041/p...
Again, I'd be surprised if it turns out they don't save lives, but I think it's a very reasonable position to be skeptical of that claim.
And you believe this based entirely on wildly outdated data that tracks deaths per cohort without tracking infections per cohort, despite this same literature showing a 0.01% breakthrough infection rate and the disease itself causing a higher death rate for 2020 than any recent year in spite of massive lockdown & social isolation efforts that almost eliminated flu?
I don't really understand this position even if I do concede that there exist a couple line items from 2020 that show two similarly sized groups with similar death rates despite being on opposite ends of the vaccinated or not spectrum.
To summarize: Placebo and treatment arms showed no difference in deaths. However, placebo arms were nixed prematurely and therefore we have no controlled and randomized studies comparing individuals who received the vaccine with individuals who did not receive the vaccine. That was the original claim. When you questioned that claim and you were shown evidence that the original claim was correct, you chose not to say "Thank you."
Instead, the downvote bandwagon is out because apparently facts are too much to bear. sigh
I concede it may be the only data comparing death rates in two randomly selected groups, but I completely contest that I "[was] shown evidence that the original claim was correct". I came into this thread to argue whether "these vaccines had saved lives", and a point we used to as a litmus test for that was if "death rates [due to COVID] differed in proportion between a fully-vaccinated population vs. a partially or unvaccinated population".
Therefore, if you were to show evidence that the original claim was correct, you would prove that litmus test. Instead, two data points were provided: a Moderna study where 4/~15k people died in both a vaccinated and placebo population, and a Pfizer study where 2 vaccinated died and 4 placebo died in a population of 20k. In the Pfizer case, it is especially unclear to me these deaths are related to COVID at all in either population [1];
I certainly have conceded this is a piece of evidence towards your argument, but I continue to believe the onus of "proof" in this case continues to fall to you, as multiple large pieces of evidence point to drastically better outcomes when infected as a fully vaccinated person vs. an unvaccinated, alongside other pieces of evidence showing reduced transmission to and from infected individuals. Therefore given the high infection and relatively significant mortality of the disease we already have these attributes to tell us that as time goes forwards it is virtually guaranteed that "deaths in unvaccinated populations will rise to a level proportionate to IFR and population size", while that outcome seems not true for vaccinated populations. Therefore it seems clear the null hypothesis is that the vaccine saves lives, because it would defy our intuition and known population effects were that to be false. Therefore two data points on small populations in the relatively distant past without associated mechanisms are not enough to prove the original claim correct without significant amounts of further evidence.
I also concede that perhaps in some sense these studies should have continued, and that it may be easy to take this discontinuation as a signal of dubious value of the vaccines; I personally hold that given the other data points at hand they became completely unnecessary and don't show anything statistically significant at all talking about total death counts on the order of 10.
Note:
>> For this surveillance, a vaccine breakthrough infection is defined as the detection of SARS-CoV-2 RNA or antigen in a respiratory specimen collected from a person ≥14 days after receipt of all recommended doses of an FDA-authorized COVID-19 vaccine.[1]
Officially, the "unvaccinated" is a mishmash of three groups: a) received no doses; b) received one dose; and c) received two doses but less than two weeks passed since second dose.
Therefore, the comparisons of the "vaccinated" and "unvaccinated" rates are confounded by the fact that the latter group includes substantial numbers of people who have been injected with the vaccine.
Note that the breakthrough infection rate seems to be about 0.01%:
> A total of 10,262 SARS-CoV-2 vaccine breakthrough infections had been reported from 46 U.S. states and territories as of April 30, 2021.
...
> As of April 30, 2021, approximately 101 million persons in the United States had been fully vaccinated against COVID-19.
If memory serves me, the "eager to get the shot" crowd were not very eager to circulate in the population by April 30. I do not know how many break through infections have occurred since then and there isn't much clarity around the question of side-effects.
Also, note that while breakthrough infection in measles-vaccinated individuals result in low viral load[2], the exact opposite seems to be true for the Covid19 vaccines.