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DEPLORABLE ME!
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It would confirm that herd immunity is being developed faster than expected.
 
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Reading that article, the BEST CASE death rate is 0.5%; other rates figured with other numbers from the article will be worse.

So...

Good news, everyone! Covid-19 is only five times more deadly than the seasonal flu (at 0.1%)!

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Reading that article, the BEST CASE death rate is 0.5%; other rates figured with other numbers from the article will be worse.

So...

Good news, everyone! Covid-19 is only five times more deadly than the seasonal flu (at 0.1%)!

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Not to mention is more contagious and there is no vaccine. So other than all that, no biggie.
 
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Which still means almost 80% do NOT yet have it or have had it.
 

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The results are intriguing and merit further study. But the survey was done on patients who were out and about at grocery stores and big box stores and volunteered to be tested when approached.

Andrew Cuomo pointed out to his credit that this test population is almost certainly not representative of the general population. There are several reasons.

People who are out and about 5 days ago in a covid-19 hot spot like New York City are very likely to also have been on multiple prior occasions, and are therefore more likely to have contracted covid-19 than individuals who had been sheltering at home.

People who feel they might have had covid-19 based on prior symptoms or close contact with known cases are more likely to volunteer or agree to be tested than those who have no such suspicion.

A population out shopping is likely to under represent the older population (as well as the younger population). Since the case fatality rate is much higher in the elderly, over representation of younger people will tend to find individuals that might have had covid-19 with relatively little risk of death. So the cases that you do find are much more likely to cause the infection fatality rate to drop than if you found a proportionate number of cases in an older population.

Apart from the issues with a non-representative test sample, there is the issue of the validity of the test methodology since none of the positive test results were corroborated with more reliable ELISA assays. The test kit used is manufactured in New York but the manufacturers do note that false positive test results might result from antibody cross-reactivity to non-covid-19 viral antigens. They claim a test specificity of 93-100% but do not provide any details of how they tested for specificity, such as the control population used or the size of the control group. It is also hard to understand why they report a huge range in test specificity since the specificity has huge implications when it comes to the interpretation of the results of this survey.

For example, with a test specificity of 93% fully one-third of the positive test results in NYC could be false positives, 42% of the Long Island positive tests could be false positives, two-thirds of the positives in Westchester/Rockland Counties could be false, and every one of the positive test results in the remainder of the state could be false positives.

However, even with a non-representative test sample and an up to 33% false positive test rate, the results in NYC do suggest the possibility of a significantly wider degree of seropositivity than previously believed. The testing is ongoing. I would hope to see at least some of the positive test results corroborated with more reliable ELISA testing and better documentation of specificity test results by the manufacturer of the test kit.
 
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