So, let's look at the errors. The paper is here:https://onlinelibrary.wiley.com/doi/abs/10.1111/ijcp.13528 …
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Assuming - without any evidence whatsoever - that R(ADIR) = 0 means immunity is simply wrong It is possible (with a vaccine) that this could be the case, but it is by no means plausible
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On to the FOURTH big mistake: multiplying weirdly Basically they used that linear extrapolation to find that R(ADIR) = 0 when total cases/1,000 = 6.6, and then assumed that since this meant immunity, the other 993.4 people must've been exposed to COVID-19pic.twitter.com/MoH05TDwkZ
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This is nonsensical. Even taking their entire approach at face value, the correlation between these two variables was only r^2 = 0.22 It is, again, simply wrong to just multiply the values out like this, because quite clearly there is more going on
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There are numerous other errors in the study, but I think I've made my point If I were the author or the journal, I'd retract the study immediately But that's just me
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End of conversation
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