The problem is I think you're trying to do math with inaccurate numbers. It would seem to be easier and more important to count the fatalities and I am not aware of any process that tracks recoveries accurately (I am assuming this would take time and resources not currently the highest priority to test and report this accurately) So, imho, you cant really draw the conclusion you trying to do accurately and I think the fat we don't have 200K deaths already proves its not a 60/40 proposition that if you get C19 you recovery/die respectively.
According to
this site, we currently have:
Tested: 2943853
Tested Positive: 576,923
Died: 23,370
Since 23,370 of 576,923 (4.05%) have died thus far, then the recovery rate is likely far closer to 95.95%+ [1-(23,370/576,923)]. There is some lag in these assumptions as recoveries and deaths don't happen on the same timeline but I'd say the mortality rate is fairly accurate otherwise the number of deaths would be FAR higher thus far.
Also, keep in mind the testing is not occurring randomly. Its being done with people who have exhibited symptoms to the point they felt the need to be tested. So we would expect a higher percentage of those tests to have C19 than if we did a purely random sampling of the US population at large.
Using the figures above, we are currently showing a mortality rate of 4.05% but this has to be overstated since we're not testing everyone and there are surely a large number of people that are asymptomatic and never get tested or have C19 but aren't bothered by the effects enough to get tested.
Plus, how do we know all deaths reported as C19 are the result of C19, for example if someone dies of a heart attack and its discovered the person also had C19, how is the cause of death reported?
Perhaps Lost can elaborate on this ^^ question?
please chime in where my math and/or logic is off