You may have seen the massive viral tweets about how staying at home doesn't prevent COVID-19 deaths These were based on a paper with what we think are quite significant flaws Our full critique now preprinted here:https://osf.io/63efj/
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The basic explanation here is that the original article looked at whether Google "residential" mobility data was correlated with COVID-19 death rates, and found no association
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Health Nerd Retweeted Health Nerd
There are significant drawbacks with that methodology, some of which I outlined in a threadhttps://twitter.com/GidMK/status/1369078568844595200?s=19 …
Health Nerd added,
Health NerdVerified account @GidMKRecently this paper was published purporting to show that staying at home does not prevent COVID-19 deaths I don't think the evidence provided supports that at all! Some peer-review on twitter 1/n https://twitter.com/jhnhellstrom/status/1368585541462208519 …Show this thread1 reply 0 retweets 8 likesShow this thread -
However, together with
@lonnibesancon@RaphaelWimmer and@FLAHAULT we have identified quite a few further problemsin1 reply 0 retweets 10 likesShow this thread -
In particular,
@RaphaelWimmer has found that repeating the author's methodology on simulated data where an effect of lockdowns is clearly visible results in no effect1 reply 0 retweets 13 likesShow this thread -
Even using the dataset that the authors sent through, which does show an effect, slight perturbations in the data seem to remove it
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What this means is that it is likely that the methodology in the study would not identify a benefit of lockdowns even unless they were unrealistically effective, and even then almost never
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Forgot to mention - the original article has an Altmetric of 7,000 already. Just one of the tweets about it got 3,500 RTs. It's been all over the news already and has 150k accesses 
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