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UK All Cause Mortality Data by Vax Status
Posted on 5/10/22 at 10:35 am
Posted on 5/10/22 at 10:35 am
A deep dive/sample size of UK data re: All cause mortality Vaxxed vs Unvaxxed.
Spoiler: Purebloods will be happy about their decision making.
Steve Kirsch Substack: Death Shots Effect
Spoiler: Purebloods will be happy about their decision making.
Steve Kirsch Substack: Death Shots Effect
6
Posted on 5/10/22 at 10:38 am to BurntOrangeMan
Figure 1. Risk/benefit determination from the UK data shows that for all ages, the vaccines kill more people than they save. A value of 15 means we kill 15 people from the vaccine to save 1 life from COVID.
Posted on 5/10/22 at 10:42 am to BurntOrangeMan
If it saves just one life
Posted on 5/10/22 at 10:46 am to BurntOrangeMan
Any vaxx nazis care to comment?
Posted on 5/10/22 at 10:52 am to Tigertittie
quote:
Any vaxx nazis care to comment?
“Misinformation! I’m reporting you to The Ministry of Truth!”
Posted on 5/10/22 at 10:54 am to Jack Carter
One of us! One of us! One of us!
Posted on 5/10/22 at 11:08 am to BurntOrangeMan
quote:
A deep dive/sample size of UK data re: All cause mortality Vaxxed vs Unvaxxed.
That's not what this was, and if you believe that his results are valid you're more than welcome to believe in that along with the Easter Bunny.
Posted on 5/10/22 at 11:09 am to BamaAtl
Have you gotten your 2nd booster yet, BitchATL?
Posted on 5/10/22 at 11:13 am to BurntOrangeMan
Interesting, but incomplete analysis. He has not controlled for selection bias. I would expect that, especially in younger cohorts, sick or unhealthy people are more likely to get the vaccine than healthy people, and sick or unhealthy people are more likely to die of all causes than healthy people. This is why randomized trials are the gold standard. It accounts for selection bias.
Posted on 5/10/22 at 11:25 am to DRMPHD
quote:
Interesting, but incomplete analysis. He has not controlled for selection bias. I would expect that, especially in younger cohorts, sick or unhealthy people are more likely to get the vaccine than healthy people, and sick or unhealthy people are more likely to die of all causes than healthy people. This is why randomized trials are the gold standard. It accounts for selection bias.
But this works in the opposite direction too. People that seek out the vaccine are making conscientious decisions to help their health, whereas a significant portion of the people who have not been vaccinated make other similar decisions that disregard to their health and thus have a lot of risk factors for death.
Posted on 5/10/22 at 11:28 am to BurntOrangeMan
BurntOrangeMan,
Can it really be that 1600 for every 1 saved in the 10-14 group? That's insane.
I've always been pro-freedom on the vax decision and am pureblood along with my whole family. But this is really tough to believe.
The others age groups seem pretty easy to understand and I can buy those numbers easily.
Can it really be that 1600 for every 1 saved in the 10-14 group? That's insane.
I've always been pro-freedom on the vax decision and am pureblood along with my whole family. But this is really tough to believe.
The others age groups seem pretty easy to understand and I can buy those numbers easily.
Posted on 5/10/22 at 11:30 am to jp4lsu
quote:
Can it really be that 1600 for every 1 saved in the 10-14 group? That's insane.
Because no one age 10-14 dies of COVID.
Posted on 5/10/22 at 11:37 am to BamaAtl
Mud bloods can never explain how they are better off than Purebloods.
They just get more hysterical with each release of the effects of the poison.
They just get more hysterical with each release of the effects of the poison.
This post was edited on 5/10/22 at 11:41 am
Posted on 5/10/22 at 11:38 am to BurntOrangeMan
Holy shite. The vaccine is MUCH worse than I thought.
Posted on 5/10/22 at 11:38 am to BurntOrangeMan
Posted on 5/10/22 at 11:47 am to BamaAtl
quote:
That's not what this was, and if you believe that his results are valid you're more than welcome to believe in that along with the Easter Bunny.
Translation: "I can't prove this is wrong, but I'm still going to call it a fantasy."
Posted on 5/10/22 at 12:03 pm to imjustafatkid
quote:
Translation: "I can't prove this is wrong, but I'm still going to call it a fantasy."
What's there to prove?
He cherry-picked data and incorrectly analyzed it, claiming it says something it doesn't say. He didn't even do a good job of that, but of course this board is so gullible you'll fall for it.
The proof is the actual science - RCT's that show efficacy and no increase in mortality among those taking the vaccine.
Posted on 5/10/22 at 12:14 pm to DRMPHD
"In the Pfizer Phase 3 trial, there was a 40% increase in ACM in the vaccinated group. They killed an estimated 7 people for every person they saved from COVID!
In the Pfizer Phase 3 trial, there were a total of 21 deaths in the vaccine group and 15 deaths in the placebo group.
This 40% increase in the all-cause mortality in the trial (21/15=1.4) was of course dismissed as not statistically significant. While that is true, that doesn’t mean we shouldn’t pay attention to the number.
But now, based on the UK data, we know that the result in the Phase 3 trial wasn’t a statistical fluke. Not at all.
In fact, if we look at the risk benefit, we see that we saved 1 life from dying from COVID (1 COVID death in the treatment group vs. 2 COVID deaths in the placebo group= 1 life saved), but there were 7 excess non-COVID deaths (20 - 13).
So the Pfizer trial showed that for every person we saved from COVID, we killed 7 people. However the numbers were too small to place a high confidence in this point estimate.
However, I’d argue that Pfizer trial was a best case because:
The trial enrolled abnormally healthy people who died at a 10X lower rate than the population (there is a 1% US average death rate per year, yet there were just 15 deaths in the 22,000 placebo arm in 6 months which is a .1% death rate)
They were able to get rid of anyone who had a reaction to the first dose without counting them
The most important point though is that the Pfizer trial killed:save ratio of 7:1 and the ACM ratio of 1.4 is consistent with the hypothesis that the vaccine kills more people than it saves."
In the Pfizer Phase 3 trial, there were a total of 21 deaths in the vaccine group and 15 deaths in the placebo group.
This 40% increase in the all-cause mortality in the trial (21/15=1.4) was of course dismissed as not statistically significant. While that is true, that doesn’t mean we shouldn’t pay attention to the number.
But now, based on the UK data, we know that the result in the Phase 3 trial wasn’t a statistical fluke. Not at all.
In fact, if we look at the risk benefit, we see that we saved 1 life from dying from COVID (1 COVID death in the treatment group vs. 2 COVID deaths in the placebo group= 1 life saved), but there were 7 excess non-COVID deaths (20 - 13).
So the Pfizer trial showed that for every person we saved from COVID, we killed 7 people. However the numbers were too small to place a high confidence in this point estimate.
However, I’d argue that Pfizer trial was a best case because:
The trial enrolled abnormally healthy people who died at a 10X lower rate than the population (there is a 1% US average death rate per year, yet there were just 15 deaths in the 22,000 placebo arm in 6 months which is a .1% death rate)
They were able to get rid of anyone who had a reaction to the first dose without counting them
The most important point though is that the Pfizer trial killed:save ratio of 7:1 and the ACM ratio of 1.4 is consistent with the hypothesis that the vaccine kills more people than it saves."
Posted on 5/10/22 at 12:17 pm to jp4lsu
"ACM ratio vs. risk/benefit analysis
Now that we have the basics out of the way, I want to explain in greater detail the difference between the ACM ratio and the risk/benefit number and why the latter is what we should be focusing on.
For example, Toby Rogers estimated that we kill 117 kids from the COVID vaccine for every child we might save from dying of COVID in the 5 to 11 age range.
Here, in an even older cohort (10 to 14), we found it is 1600 to 1. The problem with this young age range is that there are so few deaths, that there is a lot of statistical noise since the denominator is so small (close to 0). But the UK data clearly showed that vaccinating kids younger than 20 years old is insane.
Arguing whether it is 117 or 1600 is like rearranging deck chairs on the Titanic. Just say “no.”"
Now that we have the basics out of the way, I want to explain in greater detail the difference between the ACM ratio and the risk/benefit number and why the latter is what we should be focusing on.
For example, Toby Rogers estimated that we kill 117 kids from the COVID vaccine for every child we might save from dying of COVID in the 5 to 11 age range.
Here, in an even older cohort (10 to 14), we found it is 1600 to 1. The problem with this young age range is that there are so few deaths, that there is a lot of statistical noise since the denominator is so small (close to 0). But the UK data clearly showed that vaccinating kids younger than 20 years old is insane.
Arguing whether it is 117 or 1600 is like rearranging deck chairs on the Titanic. Just say “no.”"
Posted on 5/10/22 at 12:18 pm to GumboPot
quote:
The vaccine is MUCH worse than I thought.
Wait a few years when long term problems emerge and infant mortality is sky high
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