Your last point is the most important one, Igor. If the vaccines were actually reducing the risk of death from other causes besides Covid, we should see that reflected in the all-cause data. But of course we do not see that. We see just the opposite.
I don't think there are any good statisticians or scientists left at the CDC. They are hacks.
If you look at the figure from the study provided by the Steve Kirsch tweet, you see they added to the unvaccinated numbers those who were initially unvaxxed but were vaxxed later. But this obviously increases the number of unvaxxed deaths if those vaxxed later died. See here:
Good stuff, Igor. I have been trying to spread the word on Facebook. When I share a post from my page to my main feed I get a lot of ridicule and hate. The mental gymnastics people put themselves through to attack anyone campaigning for freedom is so frustrating. But we cannot be silent.
I also have another one that proudly says "Refusenik". And another in the pop-art "HOPE" Obama style that has the V for Vendetta character and "DISOBEY".
That radical difference in rate of deaths per 100,000 you show in your table for those with only 1 shot and those with double shot might help us to explain the answer. It’s 4 to 5 times higher for double shot. I thought it might be just the double shot being more people. But it’s also true per 100,000.
I don’t know what the answer is but that is also odd.
1. On average a blue-collar worker is more likely to be involved in a serious industrial accident than a white-collar worker. (because one is more likely to be injured in a workshop, mine, truck or on a wharf or building site than in an office).
2. On average a blue-collar worker is less likely to recover from a serious illness or injury than a white-collar worker. (because the average income of a blue-collar worker will be less than that of a white-collar worker, thus leading to a decreased ability to pay for the best medical intervention, especially in the USA where there is no universal medical insurance).
3. On average a blue-collar worker is more likely to be seriously injured in a traffic accident than a white-collar worker. (Because lower wages means the likelihood of an older and cheaper car with comparatively fewer safety features).
4. On average a blue-collar worker is likely to die earlier because of lifestyle choices than a white-collar worker. (Because, e.g., the greater wealth of the average white-collar worker allows for the consumption of healthier food and allows him to live in better housing conditions).
5. Combining points 1-4 will lead to the conclusion that, on average, a blue-collar worker will have a shorter life expectancy than a white-collar worker.
If collected data would further show that the uptake of the Covid19 vaccinations was proportionally lower amongst blue-collar workers than amongst white collar workers, then, from point 5, it could be further concluded that:
6. The average life expectancy of proportionally less vaccinated people (in the examples above represented by blue-collar workers) even when not taking into account any Covid19 related deaths, would, for other reasons (in our example points 1-4 above) be shorter than the average life span of that group of people (in the examples above represented by white-collar workers) who have decided to be vaccinated.
7. It could NOT be concluded that, provided a blue-collar worker allowed himself to be vaccinated, he would then automatically be also less likely to die from an industrial accident, inferior medical treatment, car crashes or eating lower quality food and living in less satisfactory housing.
Point 6 above is put forward in the CDC MWWR research paper as being one of a number of possible reasons for the fact that the data collected and analysed seems to show that, even when immediate deaths due to Covid19 are excluded, vaccinated people still have a greater life expectancy than unvaccinated people. In short, what the paper concludes is that the take-up of vaccinations appears to be higher amongst that group of people who also in other ways live a ‘safer’ lifestyle.
Point 7 above is what Igor’s article erroneously believes the research paper is claiming: “So, it appears, that the vaccine is almost an immortality cocktail, preventing car crashes, ongoing cancer, violence, heart attacks, and giving people a 3 times survival advantage.”
In fact it claims no such thing, nor is it its intention to do so. The aim of the research, as clearly stated towards the paper’s beginning, is to show that, contrary to some expressed opinions, there is NO evidence that secondary effects of being inoculated with Covid19 preventative vaccines, such as the rare development of subsequent blood clots, have any discernible negative effect on the life expectancy of those who have been vaccinated. Within the margins of statistical errors that is what it aims to show and that is what it achieves.
Also puzzling in the person-years data they provided is that 2nd vaccinated have 4 to 5 times higher death rates than the single vaccinated. Then we are better off being 1 shot vaccinated???
Interesting... If I am not mistaken, the standardized mortality ratio is Observed Deaths / Expected Deaths. Unfortunately, the authors of this article do not show the denominator they used.
While I have not read through the whole article I note that the aim, as stated at the article's beginning, is to show that being inoculated with the mentioned Covid vaccines does not increase a person's risk of death, as has been claimed by some who oppose inoculation. By statistically analysing death rates amongst two inoculated groups and one not inoculated group and coming to the conclusion that death rates stay relatively equal amongst the groups (they are, in fact, slightly lower for the inoculated groups) it seems to me to achieve its stated aim.
Your last point is the most important one, Igor. If the vaccines were actually reducing the risk of death from other causes besides Covid, we should see that reflected in the all-cause data. But of course we do not see that. We see just the opposite.
I don't think there are any good statisticians or scientists left at the CDC. They are hacks.
Curiouser and curiouser … I’m sure it was a perfectly innocent mistake ;-)
I saw the headline for this MMWR report and decided to ignore it because it was ridiculous. Thank you for looking into it.
If you look at the figure from the study provided by the Steve Kirsch tweet, you see they added to the unvaccinated numbers those who were initially unvaxxed but were vaxxed later. But this obviously increases the number of unvaxxed deaths if those vaxxed later died. See here:
https://twitter.com/stkirsch/status/1452155350166036484?s=21
Robert Clark
Good stuff, Igor. I have been trying to spread the word on Facebook. When I share a post from my page to my main feed I get a lot of ridicule and hate. The mental gymnastics people put themselves through to attack anyone campaigning for freedom is so frustrating. But we cannot be silent.
https://www.facebook.com/Renegade-Mind-107673658340341
Lots of sharable content on there so if you use FB consider giving it a follow and a share.
Your t-shirt idea also works well. I redrew a popular Vaccine Passport meme and put it on a t-shirt. It's a great conversation starter:
https://www.teepublic.com/t-shirt/24657453-vaccine-passport?store_id=640697
I also have another one that proudly says "Refusenik". And another in the pop-art "HOPE" Obama style that has the V for Vendetta character and "DISOBEY".
https://www.teepublic.com/user/renegade-mind
That radical difference in rate of deaths per 100,000 you show in your table for those with only 1 shot and those with double shot might help us to explain the answer. It’s 4 to 5 times higher for double shot. I thought it might be just the double shot being more people. But it’s also true per 100,000.
I don’t know what the answer is but that is also odd.
Robert Clark
1. On average a blue-collar worker is more likely to be involved in a serious industrial accident than a white-collar worker. (because one is more likely to be injured in a workshop, mine, truck or on a wharf or building site than in an office).
2. On average a blue-collar worker is less likely to recover from a serious illness or injury than a white-collar worker. (because the average income of a blue-collar worker will be less than that of a white-collar worker, thus leading to a decreased ability to pay for the best medical intervention, especially in the USA where there is no universal medical insurance).
3. On average a blue-collar worker is more likely to be seriously injured in a traffic accident than a white-collar worker. (Because lower wages means the likelihood of an older and cheaper car with comparatively fewer safety features).
4. On average a blue-collar worker is likely to die earlier because of lifestyle choices than a white-collar worker. (Because, e.g., the greater wealth of the average white-collar worker allows for the consumption of healthier food and allows him to live in better housing conditions).
5. Combining points 1-4 will lead to the conclusion that, on average, a blue-collar worker will have a shorter life expectancy than a white-collar worker.
If collected data would further show that the uptake of the Covid19 vaccinations was proportionally lower amongst blue-collar workers than amongst white collar workers, then, from point 5, it could be further concluded that:
6. The average life expectancy of proportionally less vaccinated people (in the examples above represented by blue-collar workers) even when not taking into account any Covid19 related deaths, would, for other reasons (in our example points 1-4 above) be shorter than the average life span of that group of people (in the examples above represented by white-collar workers) who have decided to be vaccinated.
7. It could NOT be concluded that, provided a blue-collar worker allowed himself to be vaccinated, he would then automatically be also less likely to die from an industrial accident, inferior medical treatment, car crashes or eating lower quality food and living in less satisfactory housing.
Point 6 above is put forward in the CDC MWWR research paper as being one of a number of possible reasons for the fact that the data collected and analysed seems to show that, even when immediate deaths due to Covid19 are excluded, vaccinated people still have a greater life expectancy than unvaccinated people. In short, what the paper concludes is that the take-up of vaccinations appears to be higher amongst that group of people who also in other ways live a ‘safer’ lifestyle.
Point 7 above is what Igor’s article erroneously believes the research paper is claiming: “So, it appears, that the vaccine is almost an immortality cocktail, preventing car crashes, ongoing cancer, violence, heart attacks, and giving people a 3 times survival advantage.”
In fact it claims no such thing, nor is it its intention to do so. The aim of the research, as clearly stated towards the paper’s beginning, is to show that, contrary to some expressed opinions, there is NO evidence that secondary effects of being inoculated with Covid19 preventative vaccines, such as the rare development of subsequent blood clots, have any discernible negative effect on the life expectancy of those who have been vaccinated. Within the margins of statistical errors that is what it aims to show and that is what it achieves.
Also puzzling in the person-years data they provided is that 2nd vaccinated have 4 to 5 times higher death rates than the single vaccinated. Then we are better off being 1 shot vaccinated???
Robert Clark
Interesting... If I am not mistaken, the standardized mortality ratio is Observed Deaths / Expected Deaths. Unfortunately, the authors of this article do not show the denominator they used.
While I have not read through the whole article I note that the aim, as stated at the article's beginning, is to show that being inoculated with the mentioned Covid vaccines does not increase a person's risk of death, as has been claimed by some who oppose inoculation. By statistically analysing death rates amongst two inoculated groups and one not inoculated group and coming to the conclusion that death rates stay relatively equal amongst the groups (they are, in fact, slightly lower for the inoculated groups) it seems to me to achieve its stated aim.