Originally Posted by
Thedude86
1. Preprints are submissions for peer review. If you want a peer reviewed study it doesn’t exist yet. Preprints are the best thing we have now. If you want peer reviewed you’ll have to wait until the year 2076 when the FDA is finally willing to show how safe and effective the vaccines are. Also, this isn’t an opinion study. It’s based on collected data. It’s a data analysis. And this confirms what England, Germany, and Israel data show as well. If this data analysis doesn’t get accepted for peer review that would be like saying there’s not enough evidence to prove 2+2=4. When omicron first originated in South Africa… it migrated to countries that require you to be vaccinated to enter. How else do you think the virus got there?
2. CDC data is irrelevant because they’re finally admitting many of Covid hospitalizations are not hospitalized for Covid. If you go to the hospital for a broken leg, and you’re unvaxxed… they test you for Covid. If you test positive, you get counted as a Covid hospitalization. If you go in for a broken leg and you’re vaccinated… you don’t get tested. Some hospitals test regardless of vaccination status, but most do not unless that’s changed within the last 3 months. Even the governor of New York admitted a few days ago 42% of Covid hospitalizations were people in the hospital for reasons totally unrelated to Covid. No one knows what the true numbers are for vaxxed vs. unvaxxed. The CDC is not interested in any reliable data. They admitted they gave advice on school closings based on pressure from the teachers unions. They recently changed quarantine requirements based on requests from Delta’s CEO. They’ve recently admitted themselves many of the Covid hospitalizations are not Covid related. I’m more likely to see Bigfoot this year than for any CDC data to be reliable, accurate, and unbiased. Even CNN recently has said CDC is now a joke’s punchline. CNN’s Jake Tapper and Sanjay Gupta said just yesterday that the CDC hospitalization data is not accurate.
Again, this is one study you don’t want to believe. There are numerous others from several European countries and Israel. If the vaccines are effective at reducing hospitalizations why is there a need for boosters then? If they’re effective towards omicron why is Denmark changing booster durations to every 4 months instead 6? Why did Pfizer’s own CEO say just yesterday that two doses of his vaccine has little effect IF ANY (his own words) on omicron?
Peer reviews take about 1-2 months. If you want to jump the gun, go ahead, I won't stop you. But I am going to take the time to warn others in a public forum.
Also, that article both supported and went completely against your point of view. The overall conclusion was that vaccine effectiveness, to Omicron specifically, wanes over time, but vaccines are still very effective for several months, so there should be even more boosters. The math model predicts that eventually, the vaccinated people would transition from being less likely to get the virus, to more likely to get the virus, than someone whose unvaccinated.
However, there were numerous issues with the way the data was gathered and interpreted, as pointed out by the PHD in the number 1 comment, which I copy-pasted. Overall, I think the data issues are a huge red flag, and I won't take the article seriously for any conclusion until after it has survived a peer review from people who understand epidemiology way more than I do. It likely will not, and will fade into oblivion, as many garbage studies do.
Also, the CDC data indicates the risk of dying from COVID is 20x higher for unvaccinated than for someone with a booster and 14x higher than someone with 2 shots.
https://covid.cdc.gov/covid-data-tra...vaccine-status
Make sure to click on the "Deaths" bubble because it defaults to "cases." I'd also recommend selecting "Age Group" and "Vaccine Product."
I'm not saying nobody published 'COVID hospitalizations' by including everyone who tested positive at a hospital, when hospitals had mandatory testing and lots of people were asymptomatic, but that doesn't mean the data I've referenced above suddenly doesn't exist anymore, either.