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28 Oct, 7 tweets, 4 min read
I may be speaking early, but it appears this Fall wave is already starting to fizzle. Either this is not the one, or it will be smaller than feared. There is indeed reason to think this may be the case, but first, a look at NC metrics. (1/x)
In NC, the CLI has turned sharply down, percent positive, hospitalizations, and ICU have flattened. Cases are struggling to go up. (2/x)
Not surprisingly, nearby Tennessee is seeing a similar trend, once again showing us that the virus is doing its thing. Hospitalizations and ICU have flattened there as well. Cases seem to have stalled. (3/x)
Similar trend in many places. Cases are not skyrocketing like they used to, despite states testing at record numbers. Below are a few other examples. (4/x)
Again, it may be early to be optimistic, but:

1) Other coronaviruses have a cycle where they have a rampant year every 2-3 years and other years they are mild.

2) Infection blocking immunity for coronaviruses are believed to last 1-2 years on average.

What do these mean? (5/x)
One possibility: Because NCov2019 arrived late last season, it was not able to fully run its course in most places. Now it is completing its first ever season, but because % susceptible is now lover, it is not taking off like it would. (6/x)
However, as the environment gets even more favorable in Winter, it may need an even lower % susceptible to take of, meaning higher "case" peaks are still possible. Still, my hunch (& hope) is that deaths will likely remain lower than the April peak. (7/7)

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More from @covidtweets

27 Oct
Debunking of the "COVID is not deadly for students but it is very dangerous for teachers/faculty/staff and the students are super-spreaders so teachers will all die" - second edition. (Thread - 1)
Exhibit-1: University of South Dakota. See how the gray line on this chart peaks after the student cases peaked, providing clear evidence that students are infecting faculty/staff? Neither do I... (2/x)
Exhibit-2: Appalachian State University. Scary stuff. Employee cases skyrocket as soon as the students come to campus... (3/x)
Read 7 tweets
26 Oct
Twitter is now slowing down retweets to fight misinformation ahead of the election, by only allowing quote tweets instead of usual retweet. However, it seems they are only doing it for a subset of users, since I keep seeing others retweet normally. (1/x)
techcrunch.com/2020/10/09/twi…
Here is the huge problem with rolling this out on a user basis instead of globally: Which users? Social networks, including Twitter and Facebook, know exactly which accounts lean left and which accounts lean right. They have the ability to target features accordingly. (2/x) Image
I am not suggesting that they are doing it, but pointing to the unnerving fact that they have the ability. Suppose they want more voter turnout from one side - turn one dial and show more election news, voting reminders, etc. to them. Easy peasy. (3/x)
theconversation.com/can-facebook-i…
Read 6 tweets
2 Oct
Upon careful deliberation, I hereby announce that I am leaving team reality and joining team apocalypse. Below I list my reasons to do so, which, after you all read, should convince you that it is for the best to leave team reality. (1/x)
First, I will no longer need to scrutinize studies, analyze data, question the messaging, and request evidence of whether a measure against COVID actually works. I will just believe in what I am told. Much less cognitive effort. (2/x)
Second, when confronted by a member of team reality, I will not have to actually share evidence of what I claim to be true. I will just throw a few insults and then block. That will save a lot of time! (3/x)
Read 5 tweets
17 Sep
After colleges began opening for in-person instruction, some useful data began emerging. Here is one from Duke University. Below is their cumulative testing and cases data since August 2nd. Look at that % positive: .13%. Lowest I have ever seen. Seems strange? (Thread/1) Image
Now let's look at how they do these tests: Self-administered nasal testing, which, according to at least one study, is almost as accurate as nasopharyngeal, when patients are obviously infected (symptomatic). So what is going on? (2/x)
upi.com/Health_News/20… ImageImage
My theory: How often do we clean inside our noses vs. the uppermost part of the throat, behind the nose? Perhaps one is more likely to find inactive virus remnants via deep swabs, but as long as the virus is not active, there is no longer any RNA remaining inside the nose. (3/x)
Read 6 tweets
15 Sep
The authors of the recent CDC transmission study pulled one trick which, to my knowledge, went largely unnoticed except for this tweet by @WesPegden. I want to publicize it a little more here. (1/x)
As I shared earlier, they find that mask wearing does not make one less likely to get infected. The difference between those who test positive and negative is almost as far away as possible from being statistically significant. (2/x)
twunroll.com/article/130428…
However, when reporting/discussing their findings, they don't say "There was not a significant difference in mask wearing between those who test positive and those who test negative." While I am glad they didn't bury it, the fact that they don't say it seems intentional.(3/x)
Read 5 tweets
11 Sep
There is a new report from CDC showing those who get COVID are more likely to have eaten at a restaurant in the past two weeks compared to those who test negative. What else the report finds? It is about masks. (1/4) Image
"The researchers also found that 71% of the adults with Covid-19 and 74% of those who tested negative reported always using a face covering while in public." The difference is non-significant. (2/4)
Caveats about the restaurant finding: No inquiry of indoor vs. outdoor. Also, "reported behaviors might represent ... concurrently participating in activities where possible exposures could have taken place, that were not ... measured in the survey." Translation: (3/4)
Read 4 tweets

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