There is a complete misunderstanding. I reported the numbers for San Marino and New York, not for the whole USA.
My bad, I saw your reference to "whole population", and thought you meant the entire country. But a very high death/total population rate is to be expected in some restricted locales. That does not by itself count as evidence against the Santa Clara Ab test.
Some more studies coming out with claims of very high numbers of infected individuals:
An antibody study reported 64 positives in a “random” sample of 200 in Chelsea, MA. It’s not clear to me whether they went door-to-door in some neighborhood, or approached people on the street, assuming they were allowed to be there. Like the Santa Clara study, it sounds as though there could have been a bias for people who thought they might have had symptoms before, and wanted to confirm this. Chelsea does have a very high case rate, about 2%.
https://www.foxnews.com/science/third-blood-samples-massachusetts-study-coronavirus
Another study, which doesn't sound believable, tested 397 homeless people in Boston, and found 136 positives,
all of them asymptomatic. I have to think a lot of them were presymptomatic, but I haven't heard any more about this.
https://www.wbur.org/commonhealth/2020/04/14/coronavirus-boston-homeless-testing
The New England J. of Med. reported that.29/33 of pregnant women who tested positive were asymptomatic. Again, i wonder if some of these women developed symptoms later.
https://www.nejm.org/doi/full/10.1056/NEJMc2009316
Finally, another cruise ship type of situation: 60% of sailors on the USS Theodore Roosevelt who tested positive were asymptomatic. This proportion, though, is consistent with that found in several other studies mentioned here before.
https://www.businessinsider.com/tes...er-sailors-coronavirus-had-no-symptoms-2020-4
I just want to add that, assuming the proportion of asymptomatics is somewhere in the range of 50-75%, the effect of this on morality rates might in effect be cancelled out if number of deaths are underestimated to the same extent. The Economist argues that the most accurate way to estimate number of deaths due to the virus is by comparing rate of deaths this year to an equivalent time period last year. Using this approach, they find that many countries have underestimated their reported deaths by a very large margin:
https://www.economist.com/graphic-detail/2020/04/16/tracking-covid-19-excess-deaths-across-countries
Finally, in an attempt to get an idea of how much effect social distancing might have on the spread of the virus, I came up with these numbers:
From March 1 – March 25, the number of cases in the U.S. doubled on average less than every three days. The total number of cases increased by more than 900 times over this period. The period from March 25 – 28 was the first three day period in which the number of cases did not double, increasing by 81%. Since then, the increase has been lower for every succeeding three day period. It was just 14% for the more recent period, April 15-18.
If the rate of increase from March 1 – 25 had been sustained from March 25 – April 18, the total number of cases would be 62,880,000, about 85 times as great as the actual number. At a mortality rate of just 0.5%, that would correspond to 314,000 deaths, about eight times the current number.
The U.S. is a big, diverse country, and a lot of states were taking independent actions during this time. We can’t say that there was a particular time when strict social distancing rules went into place. Suppose we focus on one state particularly hard hit, Michigan. From March 12 – 30, they reported an increase of cases of more than 540-fold. About a week before the end of this period, the Governor declared a state wide shelter in place order, which has since been extended. From March 30 – April 17, another period of eighteen days, the number of cases increased by just 4.6 times.
If the rate of increase from March 12-30 had been sustained to April 17, we would expect a total number of cases of about 3,520,000, or 117 times the actual current number. Assuming a mortality rate of 0.5%, this would result in about 17,600 deaths, almost eight times the current number.
These stats seem to indicate that social distancing has had an enormous impact on the spread of the virus. However, limits of testing may also factor in. E.g., as far as I know, the U.S. is testing at most about 150,000 people a day. The positivity rate--the % who test positive--is about 20%, reflecting the fact that tests tend to target people most likely to be infected. This means that a maximum of about 30,000 positives might be detected daily. As it happens, the daily increase in positives in the U.S. has been bouncing around this number for much of this month. A similar case can be made forMichigan, where one might expect a maximum of about 600 cases detected a day.