Aside from being ~horrifyingly~ unethical - and really, lying to potential research participants to recruit them is...something else - this makes any extrapolations that the Santa Clara serology study makes extremely suspect and likely nonsense #COVID19
https://www.google.com/amp/s/www.buzzfeednews.com/amphtml/stephaniemlee/stanford-coronavirus-study-bhattacharya-email …
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Unfortunately, you cannot just extrapolate from terrible data to a reasonable estimate. If the sampling methodology was this broken, I'm not sure how you could trust any of the results
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To put it another way, if the group intentionally recruited people who had previously had cold/flu symptoms in Jan/Dec, as it appears they did, the sample would be biased to overestimate the rate of COVID-19 and would likely provide inaccurate numbers
12:46 AM - 25 Apr 2020
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