There is no difference in the early Wuhan data because rampant testing was not underway. People got sick. They sought treatment. They died. Absent rampant testing case rates are the same as infection rates.
The reason you look at these very early data streams is there were no improvements in treatment, certainly no vax, and no particular efforts at isolation.
Look, this is all beyond you. Just be happy. I’ll leave you with this item:
What is the single parameter most associated with death in any multi variate regression application of the ANOVA tools?
Answer: well here’s what it is not. Comorbidities. Not that because nearly all old have them. Strain. Delta was worse than the original, and for some reason you don’t see the significance of that, mutation wise. But no matter, the answer is — infection dose.
At moment of infection, the more virions into the lungs the more likely you die. It is the most important of all variables. It is why infection and cases are the same for what we are examining in original strain. A person infected with a non lethal dose doesn’t die. This is not rocket science.
It’s one of the more interesting things in the world of epidemiology. Tetanus. There is zero recovered immunity. There is only vax. The reason for this is the level of danger is so extreme. A dose sufficient to generate immunity kills. Simply that. If a person doesn’t die from tetanus, they are not immune. The dose wasn’t high enough to trigger immune reaction.
First paragraph - childish gibberish. I won’t bother reading the rest because your ignorance might be contagious.
You can reply if you like continuously putting that ignorance on display for others, but I’m done with this thread and with you.