Because that is not how it works. Come on, I know you are smarter than that. If you are trying to show the percentage of vaccinated people who die versus the number of non-vaccinated who die, you have to use the total number of infections. That gives you the percentage of deaths that were vaccinated versus non-vaccinated. It's simple math and statistics 101. All you are doing is falsely portraying the data to support your biased agenda. But you already know that…That's the point. To show the rates within each vaccination status category. I thought this obvious.
How else can you compare whether the vaccines are indeed offer a lower rate of hospitalizations, ICU admissions, or deaths without separating the status groups and comparing the results of each status group to the others?
They are on a rate basis WITHIN each group. The numbers are clearly listed. How anyone could get confused by them is a mystery to me.
1.25% = unvaccinated (4,509 deaths out of 381,838 unvaccinated cases)
1.81% = partially vaccinated (326 / 18,048)
1.67% = fully vaccinated (63 / 3,782)
The rate at which partially or fully vaccinated persons have died within their respective status group is higher than unvaccinated. It's right there in the numbers. It's not a large difference, to be sure -- four- to five-tenths of a percentage point. But there is a difference. The question is, will the rates within the partially and fully vaccinated groups stay at current levels or will they drop as the sample of cases gets larger? Are the rate differences a factor of the smaller sample sizes in the partially and fully vaccinated categories? Only time will tell.
Lumping all the deaths and cases together as you suggest hides the fact that there are definite in-group rate differences. I would call that deliberate obfuscation. I would call that "fake news", "alternative facts" and misinformation, to use your jargon.
Why would someone want to hide in-group rate differences?
In rate group differences as you call them don't compare anything. You have to take the variables (i.e. vaccinated, non-vaccinated, etc.) and compare them against a like number to get an accurate percentage.
No one wants to hide in group data. But using the data to push and support false information as you are doing will be called out.
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