BusterAg said:
eidetic78 said:
BusterAg said:
eidetic78 said:
Every flu statistic you've ever seen is also an estimate.
There's no malice or purposeful obfuscation in the process used to estimate disease burdens.
Frankly, I don't believe you.
There are always caveats because the information itself is imperfect. That just has to be understood to be an intelligent consumer of the data.
Two remedies:
1) get better information
2) Analyze the freaking data!!!! This is supposed to be the era of Big Data! All of the richest companies in the world are rich specifically because they can deal with problems like this. We can do better analysis, we just don't want to.
This is one of those situations where, when a solution to a problem just seems ssoo simple, it's because you don't understand the problem.
Which platitude is more likely in any given situation where a power struggle is involved:
1) Occam's razor; or
2) Follow the money.
Again, arguing that the data is imperfect, and that is the way it is, in the era of Big Data is speciously lazy.
What power struggle?
And I'm not arguing the data is imperfect. As a virologist, I actually know the caveats. Hand waving with some meaningless phrase like "era of Big Data" and thinking it represents an actual solution to any problem is intellectually lazy.
Your remedies of "get better information" and "Analyze the data" show a complete lack of understanding of the process. There's a minimum amount of information you need before you can understand how much you don't know. If those are serious suggestions, you're not there yet.
I've seen your other posts about death coding, and I understand on the surface it seems suspicious.
Let me see if I can help you out with a flu example:
If you look at the CDCs estimates for flu death burden, it's a gigantic range. (like 12k - 80k or something) Why? Why don't they just count?
For influenza specifically, it's because states are not required to report flu infections in people over 18. So we must estimate in other ways. There is no "better information" to get.
So we're forced to look at local patient symptoms, season, confirmed infections in the area, deaths with pneumonia as an underlying cause, etc... All kinds of "potentially related" things that point to flu. This means that all the estimates rely on individual physicians to be thorough and accurate. I'm sure most are, but it's still an inference based on their opinions.
Additionally, influenza, like many viral diseases, can pre-dispose to secondary bacterial infection. If someone who's diabetic and obese gets the flu, which leads to bacterial pneumonia, which leads to death, how should that be coded?
Even with perfect data and perfect analysis, the flu death burden is still an estimate based on different mathematical models which are filled with physicians professional opinions.
Estimations of covid deaths will go through exactly the same process, and all the same inferences/estimations and physician opinions will be baked in, just like it is for every other disease.
There's no conspiracy in the death reporting itself. Those intentions are fabricated and layered on later by people hoping to use the stats to support whatever story they're writing.