Okay. Agree flu death rate is 0.001.
I think we have now established that even on most optimistic (in my view incorrect) interpretation of NY data, COVID-19 death rate is 0.005. That calc is based on your assumptions, not mine.
The 2 doctors did not find anything. I will try to say it in another way. Around 30,000 people, ie 1% of California’s population who thought they were in need of testing, got a test and 12% were positive. That doesn’t say much about the other 99% who didn’t feel the need to get a test. To assume that the other 99% also would test positive at the same 12% rate is ridiculous.
I haven’t seen the German study you refer to.
My fundamental problem with your post is this: What is wrong with comparing the number of deaths to the number of people with antibodies, since that is a far more accurate way of determining the number of people who have contracted the virus?
I don’t know how many times I can explain this. I will try again. By your own reasoning, 1.5 million (29.5 x 15%) New Yorkers have, or have had COVID-19. So far 23,000 of them have died. We don’t know how many more of them will die, but some of them definitely will. If every single one of them survives, then your calc is correct, and COVID-19 is only five times deadlier than the flu. However, overseas experience suggests that some more of this 1.5 million will die. Possibly 10s of thousands. That is “What is wrong with comparing the number of deaths to the number of people with antibodies”. It is not an accuracy issue.