I know there's been a lot of responses here, but did you read it? Or just the headline? It's scary that this stuff gets published. The data is ok, the recommendation published with it is not.
Same deal as the study the CDC published that had the conclusion/recommendation that getting the COVID vaccine reduces all causes of death in young adults (including accidents).I know there's been a lot of responses here, but did you read it? Or just the headline? It's scary that this stuff gets published. The data is ok, the recommendation published with it is not.
Here's what they did. X people were hospitalized with covid like symptoms who weren't vaccinated but had prior infection, P tested positive for covid. Y people were hospitalized with covid like symptoms who were vaccinated without prior infection, Q tested positive. P/X is five times greater than Q/Y, therefore get vaccinated. Does that make sense?
That assumes that the two groups are equally likely to be hospitalized from non-covid like symptoms. And that seems like a big assumption. Don't know which way....but it's not a controlled population or even remotely understood population. This is very similar to the masks studies.
1. Present Data
2. Analyze Data
3. Conclude something not remotely supported by data.
4. Get published and showered with praise by CDC.
I know there's been a lot of responses here, but did you read it? Or just the headline? It's scary that this stuff gets published. The data is ok, the recommendation published with it is not.
Here's what they did. X people were hospitalized with covid like symptoms who weren't vaccinated but had prior infection, P tested positive for covid. Y people were hospitalized with covid like symptoms who were vaccinated without prior infection, Q tested positive. P/X is five times greater than Q/Y, therefore get vaccinated. Does that make sense?
That assumes that the two groups are equally likely to be hospitalized from non-covid like symptoms. And that seems like a big assumption. Don't know which way....but it's not a controlled population or even remotely understood population. This is very similar to the masks studies.
1. Present Data
2. Analyze Data
3. Conclude something not remotely supported by data.
4. Get published and showered with praise by CDC.
That's quite literally not what the article nor the study say.They have a sampling problem, but do you think that the unvaccinated are 5.5x more likely to go to the hospital for non-covid like symptoms? 3x?
The publishers of the study are not saying "we conclude that it is 5.5x more likely..." they are saying "with this data we collected, we found this group was 5.5x more likely, ipso facto, we think the vaccine has merit."
I agree that the headline of the article is very misleading, but the study still has value, which is why I shared it.
Well the 5x is an adjusted odds multiplier. I read it quickly but I don't see why you just wouldn't use the relative percentages, which was more like 2x.They have a sampling problem, but do you think that the unvaccinated are 5.5x more likely to go to the hospital for non-covid like symptoms? 3x?
The publishers of the study are not saying "we conclude that it is 5.5x more likely..." they are saying "with this data we collected, we found this group was 5.5x more likely, ipso facto, we think the vaccine has merit."
I agree that the headline of the article is very misleading, but the study still has value, which is why I shared it.
Covidiot says: If you get the vaccine, I’ll file for divorce.
Which one is the covid idiot? The one that didn’t file for divorce because he was all talk or the one that got giddy over getting 300 likes and actually filed for divorce? Someone seems to like the attention. I wonder how quickly she would have filed for divorce if he had dementia or Parkinson’s or something else that changed him from “ the man I married”. Disgusting media taking advantage of people to make you and others feel superior. You and them should be ashamed of yourselves.
Thanks for hashing all that out. When I quickly read through it, I dismissed the study due to an apparent weird sampling bias and contradictory findings to basically all other information I've seen and a good knowledge of immunity. It just makes no sense.I know there's been a lot of responses here, but did you read it? Or just the headline? It's scary that this stuff gets published. The data is ok, the recommendation published with it is not.
Here's what they did. X people were hospitalized with covid like symptoms who weren't vaccinated but had prior infection, P tested positive for covid. Y people were hospitalized with covid like symptoms who were vaccinated without prior infection, Q tested positive. P/X is five times greater than Q/Y, therefore get vaccinated. Does that make sense?
That assumes that the two groups are equally likely to be hospitalized from non-covid like symptoms. And that seems like a big assumption. Don't know which way....but it's not a controlled population or even remotely understood population. This is very similar to the masks studies.
1. Present Data
2. Analyze Data
3. Conclude something not remotely supported by data.
4. Get published and showered with praise by CDC.
Follow up....look how these studies get used to support crap arguments.They have a sampling problem, but do you think that the unvaccinated are 5.5x more likely to go to the hospital for non-covid like symptoms? 3x?
The publishers of the study are not saying "we conclude that it is 5.5x more likely..." they are saying "with this data we collected, we found this group was 5.5x more likely, ipso facto, we think the vaccine has merit."
I agree that the headline of the article is very misleading, but the study still has value, which is why I shared it.
Interesting to see how this plays out. He's becoming more of a lightening rod every day.Follow up....look how these studies get used to support crap arguments.
Aaron Rodgers lied about his vaccination status and the Packers are paying the price
The truth is the Aaron did have immunity if he had prior infection. But this garbage study is used to argue otherwise.
So I saw a similar headline elsewhere and the Rodgers article so I wanted to know if I was alone in looking at the study and concluding it was very flawed. Turns out commenters on Reddit, agreed, and I did not expect that.Thanks for hashing all that out. When I quickly read through it, I dismissed the study due to an apparent weird sampling bias and contradictory findings to basically all other information I've seen and a good knowledge of immunity. It just makes no sense.
Honestly, I've been so busy with other work and family stuff that I've kind of tuned out the COVID stuff lately. Barring some major mutation and escape of immunity, it's basically done, around here. Maybe I'm a little burned out, at this point, but there are so many more pressing issues, and none of the sickest kids I've seen in the past 9 months have CV19.