This thread was deleted by a volunteer moderator. I certainly don't want a thread this big deleted so I've restored. THat being said, this thread has served it's purpose. I've closed it to new posts.
We have a new 2024 vaccine thread here. New people don't need to try to wade through 20,000 posts to figure out what is going on.
We examined the possible non-specific effects of novel mRNA- and adenovirus-vector COVID-19 vaccines by reviewing the randomized control trials (RCTs) of mRNA and adenovirus-vector COVID-19 vaccines. We calculated mortality r...
Now we know more. If Pfizer and Moderna want to continue to sell these vaccines, we should demand that they conduct a proper randomized clinical trial that proves that the vaccines reduce mortality.
The danger of modeling and observational studies (and especially manufacturer studies, IMO) is that anyhing can be shown. Combine that with slanted media articles and you often get manufacturer public relations.
Video: A look at all cause mortality, covid and the risk of death with the covid drugs (worldwide):
🚨🚨🚨🚨🚨🚨
This clip from Denis Rancourt (@denisrancourt) is a MUST WATCH.
He looks into all-cause mortality before the rollout of the vaccine and after the rollout of the vaccine.
Three important points: 1. Before the vax was rolled out, all cause mortality did not cross… pic.twitter.com/Jb8s7BnRXV
While one could say that those promoting dangerous, contaminated COVID mRNA drugs (online & offline) are contributing to a massive amount of death and suffering, I believe that there are still some people who were innocently hoodwinked by poor studies, manufacturer PR and legacy media articles.
I don’t know the exact number of deaths caused by the mRNA drugs. I think it’s quite high and the potential for serious long-term effects of cancer, autoimmune diseases, etc. is also quite high given what is known about these drugs.
One silver lining is that more people are getting “injected” with honest information and are largely immune to the BS public relations that appears in the legacy media.
P.S., interesting paper on mRNA technology causing increasing immune system problems:
“one death is a tragedy, 300k is a statistic” - Stalin
Glad the antivaxxers are now taking pages out of the genocidal communist playbook!
Harambe doesn’t believe the science and data unless it confirms his bias. He and his “bro” will just come back with some snippet of a study that doesn’t conclude what they think it does to try and refute it.
The mRNA data from the vaccine trials isn't sufficient to draw that conclusion. It says as much in the paper you've cited.
It's not clear to me how they get the all-cause mortality confidence intervals for the adenovirus vaccine from the data in table 2, but, without having run the calculations, it doesn't look right.
The mRNA data from the vaccine trials isn't sufficient to draw that conclusion. It says as much in the paper you've cited.
It's not clear to me how they get the all-cause mortality confidence intervals for the adenovirus vaccine from the data in table 2, but, without having run the calculations, it doesn't look right.
Welcome to the “This does confirm my bias, therefore it can’t be true” club. Harambe will show you to your seat.
The mRNA data from the vaccine trials isn't sufficient to draw that conclusion. It says as much in the paper you've cited.
It's not clear to me how they get the all-cause mortality confidence intervals for the adenovirus vaccine from the data in table 2, but, without having run the calculations, it doesn't look right.
Welcome to the “This does confirm my bias, therefore it can’t be true” club. Harambe will show you to your seat.
Whoops. Wrong club. You’ve joined the “This does not confirm my bias, therefore it can’t be true” club. Harambe will still show you to your seat. 😂
I fail to see how the “better data” is reanalysis of observational data whilst ignoring the controlled trials, matched observational data, and boring population wide statistics.
But it makes sense you have to ignore 99% of the data and focus on 1% to get the crank conclusions you want.
I fail to see how the “better data” is reanalysis of observational data whilst ignoring the controlled trials, matched observational data, and boring population wide statistics.
But it makes sense you have to ignore 99% of the data and focus on 1% to get the crank conclusions you want.
Right on cue.
“Ahhhhhhhhh. It doesn’t confirm my bias. Ahhhhhhhhh”
I fail to see how the “better data” is reanalysis of observational data whilst ignoring the controlled trials, matched observational data, and boring population wide statistics.
But it makes sense you have to ignore 99% of the data and focus on 1% to get the crank conclusions you want.
Right on cue.
“Ahhhhhhhhh. It doesn’t confirm my bias. Ahhhhhhhhh”
Well done.
I’ve added his study to the data, unfortunately there is already too data on the side of COVID vaccines preventing death and disease for that study to move the needle much.
I recommend reading the previous 500 pages to get a sense of the sum of the data!
Remember one data point rarely proves or disproves anything!
I fail to see how the “better data” is reanalysis of observational data whilst ignoring the controlled trials, matched observational data, and boring population wide statistics.
But it makes sense you have to ignore 99% of the data and focus on 1% to get the crank conclusions you want.
The lies, obfuscation and BS have been going on for a considerable length of time.
Example: It's been one year since this news story:
Some vaccine advisers to the federal government say they’re “disappointed” and “angry” that government scientists and the pharmaceutical company Moderna didn’t present a set of infection data on the company’s new Covid-19 boo...
The mRNA data from the vaccine trials isn't sufficient to draw that conclusion. It says as much in the paper you've cited.
It's not clear to me how they get the all-cause mortality confidence intervals for the adenovirus vaccine from the data in table 2, but, without having run the calculations, it doesn't look right.
How I read that study is that the randomized controlled trial (RCT) showed no mortality benefit for COVID mRNA drugs with the following limitations:
1. It doesn’t show longer term effects because the manufacturer unblinded the trial over time and gave the drugs to the control group. The drugs could have shown an increase in mortality over time (or a decrease) and we’ll never know since the trial was stopped and the drugs were released to the general population.
2. These RCT’s had an overall healthier population. The drugs could create more death for a less healthier population.
3. A third potential limitation that was not mentioned in the paper is that any RCT that was done should have used the contaminated product that is given to the general population.
4. A final limitation, in my opinion, is that having the manufacturer involved creates opportunities for scientific fraud. One can find articles and videos online about Pfizer whistleblowers.
This post was edited 12 minutes after it was posted.
“one death is a tragedy, 300k is a statistic” - Stalin
Glad the antivaxxers are now taking pages out of the genocidal communist playbook!
Harambe doesn’t believe the science and data unless it confirms his bias. He and his “bro” will just come back with some snippet of a study that doesn’t conclude what they think it does to try and refute it.
300k preventable deaths is a fact. You are desperate to discount it because it’s blood on the antivaxxer hands. Even the most hardened contrarian feels guilty about mass death.
You can just say, "I was wrong" and Twoggle has a better command of the data.
So true. He’ll just come back with some snarky comment though or some “data” that doesn’t even support his point.
This dude hasn’t even made an argument. He’s just hiding behind the backs of the other antivaxxers like a little kid. But hey, if I had a proven increased risk of autoimmune disease, cardiovascular issues, and cognitive problems after my multiple unvaxxed COVID infections…. I’d be coping and seething and rage posting too
Antivaxxer: posts rancourt, Hoeg, Weinstein, and pretends to understand IgG class switching (injecting tons of bias by saying it’s a “problem”).
You simply are not sending your best. All you can do is cast doubt on real data and post deeply committed antivaxxers frothing over each other as “consensus.”
Prof Morris is a trained biostatistician and has done a good job explaining the nuances of looking at things like mortality data. Way better than a lay person trying to sell a substack subscription (I hope you don’t pay too much on those….)
This page aggregates and tries to provide a balanced discussion of research results, data sets, applications and models, and commentaries regarding Covid-19, using a data science approach gather, evaluate, and synthesize info...
Summary of Key points: The UK ONS posted data on all COVID-19 and non-COVID-19 deaths in England from Jan1 through Oct31, 2021, split out by vaccination status and age group. The vaccination status were unvaccinated, 21 days...
Alex Berenson is again misinterpreting/misrepresenting scientific data, this time saying this JAMA study shows vaccines “don’t stop Covid hospitalizations and deaths” in a recent substack post He is talking about this very ni...
The analysis here is significantly more than I would trust a layperson blogger to handle, and this prediction has been correct. There are so many horrible analyses by antivaxxers not even pretending to think about the data for a minute.
Oh yeah here’s Morris eviscerating Rancourt and his comically fraudulent 17 million deaths claim
@denisrancourt Why do you completely ignore the fact that the excess deaths all over the world largely cluster in spikes that happen to correspond to spikes of confirmed Covid cases and Covid-attributed deaths?