Nate Silver

@NateSilver538 ↗

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Last Checked Aug. 16, 2021

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Tue Aug 03 07:57:03 +0000 2021

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Nate Silver @NateSilver538

Another big statistical issue in these studies (at least the Wisconsin one) is that they have truncated samples. People with high Ct values (higher Ct = harder to find virus) are eliminated from the comparison because it's not clear they can be considered "infected". https://t.co/i0EPQjf9Ni — PolitiTweet.org

Posted Aug. 3, 2021

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Nate Silver @NateSilver538

RT @NateSilver538: @jeremyfaust No, same issues with sample size in the Singapore study too. The confidence intervals on the Ct values are… — PolitiTweet.org

Posted Aug. 3, 2021 Retweet

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Nate Silver @NateSilver538

If one way that breakthrough infections manifest themselves is thru very low amounts of virus in some people, but then you eliminate people with very low viral loads from your comparison, you're sort of begging the question. Need to be careful in cases like these. — PolitiTweet.org

Posted Aug. 3, 2021