I'd rather we stop deferring to these formulas as if they're scientific, when they change on a whim due to politics.
Omicron isn't new information. We've known about Omicron for over three months. We didn't learn anything novel on 2/25/2022.
The hospitals aren't at risk of being overwhelmed based on any current variant. The hospitals were, in fact, overwhelmed in several places while Omicron was widespread. What about that doesn't make sense to you?
Yes, there were some hospitals struggling to deal with covid patients. The majority of hospitals were not. It did not seem to occur to many people that perhaps those hospitals weren't equipped to deal with any large problems.
Would you rather risk formulas change as information changes or that they always stay the same permanently? Are you unable to change your opinion as you receive new information? Is that how you live your life?
I'd rather we stop deferring to these formulas as if they're scientific, when they change on a whim due to politics.
Omicron isn't new information. We've known about Omicron for over three months. We didn't learn anything novel on 2/25/2022.
Sooooo....you want us to pretend like the early preliminary data we have on a new unknown variant is tried and true scientific law.
But then you're complaining about things being put forth as more scientific than they actually are.
The hospitals aren't at risk of being overwhelmed based on any current variant. The hospitals were, in fact, overwhelmed in several places while Omicron was widespread. What about that doesn't make sense to you?
Yes, there were some hospitals struggling to deal with covid patients. The majority of hospitals were not. It did not seem to occur to many people that perhaps those hospitals weren't equipped to deal with any large problems.
There were more than 150,000 people hospitalized with Covid in mid January in the U.S. That was not evenly distributed; some areas had a particularly high volume of Covid patients. Some hospitals/hospital networks hit, e.g., ICU capacity limits. Hospitals have capacity for normal volume of ICU patients, with a small amount of flexibility for minor surges. A significant surge of extra ICU patients can overwhelm capacity. That happened with both Delta and Omicron in several places, including my state.
Now the number of hospitalized Covid patients in the U.S. is below 50,000 and dropping steadily. That changes the calculus.
I'd rather we stop deferring to these formulas as if they're scientific, when they change on a whim due to politics.
Omicron isn't new information. We've known about Omicron for over three months. We didn't learn anything novel on 2/25/2022.
Sooooo....you want us to pretend like the early preliminary data we have on a new unknown variant is tried and true scientific law.
But then you're complaining about things being put forth as more scientific than they actually are.
The people on TV pretending to know what they're talking about never admit they don't know what they're talking about. They never admit when they're wrong. No rational person could believe what they say just because they said it.
Yes, there were some hospitals struggling to deal with covid patients. The majority of hospitals were not. It did not seem to occur to many people that perhaps those hospitals weren't equipped to deal with any large problems.
There were more than 150,000 people hospitalized with Covid in mid January in the U.S. That was not evenly distributed; some areas had a particularly high volume of Covid patients. Some hospitals/hospital networks hit, e.g., ICU capacity limits. Hospitals have capacity for normal volume of ICU patients, with a small amount of flexibility for minor surges. A significant surge of extra ICU patients can overwhelm capacity. That happened with both Delta and Omicron in several places, including my state.
Now the number of hospitalized Covid patients in the U.S. is below 50,000 and dropping steadily. That changes the calculus.
They admitted that the hospitalization numbers were grossly inflated. Screening for COVID is standard procedure for admittance into the hospital. If you show up with a gunshot to the head and happen to have asymptomatic COVID you're counted as "hospitalized with COVID" They knew the numbers were bogus and they lied about it and engineered policy around it anyway.
There were more than 150,000 people hospitalized with Covid in mid January in the U.S. That was not evenly distributed; some areas had a particularly high volume of Covid patients. Some hospitals/hospital networks hit, e.g., ICU capacity limits. Hospitals have capacity for normal volume of ICU patients, with a small amount of flexibility for minor surges. A significant surge of extra ICU patients can overwhelm capacity. That happened with both Delta and Omicron in several places, including my state.
Now the number of hospitalized Covid patients in the U.S. is below 50,000 and dropping steadily. That changes the calculus.
They admitted that the hospitalization numbers were grossly inflated. Screening for COVID is standard procedure for admittance into the hospital. If you show up with a gunshot to the head and happen to have asymptomatic COVID you're counted as "hospitalized with COVID" They knew the numbers were bogus and they lied about it and engineered policy around it anyway.
We hit crisis standards of care in my area. That wasn't because of gunshot wounds.
The fully vaccinated account for 9 of every 10 deaths from COVID-19 in England and 4 of 5 deaths among the triple-vaccinated, according to the latest data published by the U.K. Health Security Agency.
The independent British news site The Exposé reported the government report, published Feb. 22, includes a table on page 41 confirming the vast majority of deaths were among the vaccinated.
We have an enormous amount of data showing that unvaccinated people are more likely to die of Covid than vaccinated people. See here and here and here. Or take a look at how the vast majority of recent U.S. Covid deaths for the past six months are in areas with lower vaccination rates (dig around here to see that).
Is the data you're looking at controlling for age? If you compare vaccinated 80-year-olds to unvaccinated 80-year-olds and vaccinated 35-year-olds to unvaccinated 35-year-olds, the unvaccinated are far more likely to die. The data is clear.
But if you uncritically compare vaccinated 80-year-olds to unvaccinated 35-year-olds... Is that what's happening in your data set?
We have an enormous amount of data showing that unvaccinated people are more likely to die of Covid than vaccinated people. See here and here and here. Or take a look at how the vast majority of recent U.S. Covid deaths for the past six months are in areas with lower vaccination rates (dig around here to see that).
Is the data you're looking at controlling for age? If you compare vaccinated 80-year-olds to unvaccinated 80-year-olds and vaccinated 35-year-olds to unvaccinated 35-year-olds, the unvaccinated are far more likely to die. The data is clear.
But if you uncritically compare vaccinated 80-year-olds to unvaccinated 35-year-olds... Is that what's happening in your data set?
Simply reporting the most up to date data from the UK health service.
We have an enormous amount of data showing that unvaccinated people are more likely to die of Covid than vaccinated people. See here and here and here. Or take a look at how the vast majority of recent U.S. Covid deaths for the past six months are in areas with lower vaccination rates (dig around here to see that).
Is the data you're looking at controlling for age? If you compare vaccinated 80-year-olds to unvaccinated 80-year-olds and vaccinated 35-year-olds to unvaccinated 35-year-olds, the unvaccinated are far more likely to die. The data is clear.
But if you uncritically compare vaccinated 80-year-olds to unvaccinated 35-year-olds... Is that what's happening in your data set?
Simply reporting the most up to date data from the UK health service.
