One big question I have is where did the CDC get such a high "estimated infected" number for seasonal flu, if the seasonal flu R0 value (reproduction value) is only 1.4?
This, in my opinion, is an important question because such a high estimate in the denominator brings the mortality rate of seasonal flu from 10% to .1%
And 10% just can't be right though, because otherwise we'd notice that 10/100 people were dying from seasonal flu. And that is simply not at all true. I think this means that flu is just not 'tested' for.
Confirmed cases. Everyone who dies from influenza is a confirmed case. Everyone who just sucks it up, makes chicken noodle soup, and wraps in blankets within their own home is never counted. Only those who go to the hospital (high risk) or die are counted. Hence skewed numbers. But it is the same skewing so these stats side-by-side are thus blocked and correlation can ve established.
Which is the same for the Corona test... What if the denominator is much higher, and people that had it and already got over it are never counted. Which brings its mortality number wayyyyyy down.
You have to make an apples to apples comparison if you want to be reasonable.
They are comparing the best case flu mortality numbers with the worst case corona mortality numbers, and that is the point. It's completely disingenuous as a comparison. And therefore a meaningless one.
Posted to reddit, banned in 30 seconds :)
One big question I have is where did the CDC get such a high "estimated infected" number for seasonal flu, if the seasonal flu R0 value (reproduction value) is only 1.4?
This, in my opinion, is an important question because such a high estimate in the denominator brings the mortality rate of seasonal flu from 10% to .1%
And 10% just can't be right though, because otherwise we'd notice that 10/100 people were dying from seasonal flu. And that is simply not at all true. I think this means that flu is just not 'tested' for.
When did YOU ever take a "flu test"?
Confirmed cases. Everyone who dies from influenza is a confirmed case. Everyone who just sucks it up, makes chicken noodle soup, and wraps in blankets within their own home is never counted. Only those who go to the hospital (high risk) or die are counted. Hence skewed numbers. But it is the same skewing so these stats side-by-side are thus blocked and correlation can ve established.
Which is the same for the Corona test... What if the denominator is much higher, and people that had it and already got over it are never counted. Which brings its mortality number wayyyyyy down.
You have to make an apples to apples comparison if you want to be reasonable.
They are comparing the best case flu mortality numbers with the worst case corona mortality numbers, and that is the point. It's completely disingenuous as a comparison. And therefore a meaningless one.
Uhhhh, the Influenza Swab test is absolutely routine during flu season....you've never heard of it?