Where does the US stand on #Covid19? Not a simple question. I tweet Covid data daily, and the trends have been positive for weeks. But I often get asked, “when is this over?” What about #b117? And seasonality? And the vaccines—shouldn’t they change the trajectory?

Thread
Full disclosure: I’m a realist guided by data but with a bias toward optimism. I also don’t give one tiny, insignificant shit about the political ramifications.

The overall takeaway is that we’re looking a hell of a lot better today than in November, December, and early January.
Covid deaths, by and large, will define the pandemic, so it’s easy to rely solely on that metric as a barometer for current success. But it’s a poor real-time bellwether. By now, everyone assessing the data (in good faith) should be aware that reported deaths lag other metrics.
Here is how much the Covid metrics (7-day averages) have changed from recent peaks:

Cases: -55.0% (1/11 peak)

% Pos: -48.9% (1/8 peak)

Tests: -20.9% (1/18 peak)

Hosp: -34.1% (1/12 peak)

ICU: -26.9% (1/14 peak)

Deaths: -13.5% (1/13 peak)
We have begun to see the leading edge of the drop in reported deaths that should accelerate this week and continue through early March at least. But will it continue thereafter? Not an easy answer.

As many have noted, the #b117 variant is starting to stretch its legs in the US.
I’ve seen claims that #b117 is doubling every ~10 days (faster in some states). That’s fast. When US cases were aflame this fall, I think we saw a doubling every 17 days at the fastest. And the summer wave saw as rapid as 15 days. Things can snowball quickly at those rates.
But the viral breeding ground shouldn’t be the same in Mar/Apr as it was in Nov/Dec. We’re dealing with an entirely different population in terms of potential immunity. Different potential seasonal effects (most medical experts said the fall would look something like it did).
Of course, with variants, we’re dealing with differences as well. But unless I see data that neither vaccines nor prior Covid positive has *any* effect on transmission (I know we’ll have anecdotes and even data about reduced effects), I’d expect Mar–May to be better than Nov–Jan.
I think masks and distancing are important (distancing even more than masks). I want to see sensible mitigation, and I’ve always thought private enterprise making decisions and common-sense governmental requests—not edicts—likely yields better results.
But politicians, media, and experts are notoriously horrendous at considering the second/third/fourth-order effects of decisions. Or at least at considering them nearly as much as a politicians’ pronounced intent or the immediate effects of a particular decision.
I believe requests for people to jog or walk their damn dogs outside masked up has done more harm than good. It’s like people who ask friends to show at the restaurant 30 minutes early because they’re usually 30 minutes late. They catch on, adjust, and doubt you next time.
Even well-meaning governmental officials say or order boneheaded stuff because they want to be seen as *doing something*, and it’s frustrating. These mistakes have cost us quite a bit, I believe—more than many experts, politicians, or media will ever admit (except to themselves).
By mid-March, I imagine we’ll have ~100M vaccine shots in arms. We’ll have a very high percentage of seniors who have at least one shot. We’ll have a room temp single-shot vaccine joining the mix. And we’ll have a population that’s been more infected.

Again, I’m optimistic.
We also need to stop saying that little will change for a long time even after we effectively bring cases down to a negligible number and the population reaches what we would normally call herd immunity. Not only is that demoralizing, but it strikes me as absurd.
It’s also absurd to not take any lessons away from this for future flu seasons, etc. WFH while sick/symptomatic (if able), masked if you’re riding the train/bus sneezing all over every damn body, better air movement in buildings.

Why not strive for a more hygienic/aware society?
Takeaways:

Things are looking up

Variants could throw a wrench in, and soon

Mar-May dwarfing Nov-Jan strikes me as less likely than others think

States: keep perfecting vaccine logistics so ready when deliveries increase

Be safe just because

This will end
.@AllOutBubblegum blocked me after posting this, but I'll answer him anyway:

1. What about this tweet makes zero sense?

2. My profession is literally persuasion via the written and spoken word. That's the expertise inherent in the tweet with which you take issue.

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More from @TheLawyerCraig

8 Jan
@COVID19Tracking *Today’s #Covid19 Update Thread*
(tests, cases, deaths, hospitalizations, ICU, and % testing positive as of Today, 1 week, 2 weeks, 1 month, and 2 months ago—data from @COVID19Tracking)

UNITED STATES
(Thoughts and region-by-region breakdown in thread below) Image
@COVID19Tracking Today is the first day of the pandemic that the United States hit 4,000 reported deaths. It pushed our 7-day-average back to a new peak of 2,774.

The holiday reporting lull has left the building.
@COVID19Tracking Our 7-day-average for those currently in the ICU has now increased week-over-week for 100 days straight. Hospitalizations are at 102 days straight.

Both metrics have also been increasing at a higher percentage in a couple weeks since Christmas. Not a ton higher, but higher.
Read 5 tweets
21 Dec 20
@COVID19Tracking *Today’s #Covid19 Update Thread*
(tests, cases, deaths, hospitalizations, ICU, and % testing positive as of Today, 1 week, 2 weeks, 1 month, and 2 months ago—data from @COVID19Tracking)

UNITED STATES
(Summary and region-by-region breakdown in thread below)
@COVID19Tracking Raw hospitalizations (non-7-day-averaged) have dropped for 3 days straight. That's the first time that's happened since October 2-4.
@COVID19Tracking California's share of hospitalizations and ICU numbers continues to climb. California comprises over half the hospitalization increase in the country and over 3/4 of the ICU increase.

It feels like we could see other-than-California peak within a week in both numbers.
Read 4 tweets
24 Nov 20
@COVID19Tracking *Today’s #Covid19 Update Thread*
(tests, cases, deaths, hospitalizations, ICU, and % testing positive as of Today, 1 week, 2 weeks, 1 month, and 2 months ago—data from @COVID19Tracking)

UNITED STATES
(Summary and region-by-region breakdown in thread below)
@COVID19Tracking Reported average daily deaths seem to finally be showing the results of our high case counts (+ high % testing positive).

If the past is any guide, it runs at a ~21-day lag. We were in the mid-80k range 21 days ago. We're double that now. Not a great harbinger for mid-December.
@COVID19Tracking Happy to see a decent-sized drop in % testing positive today. I'll be happier still when we see smaller absolute percentages nationwide.
Read 16 tweets
27 Oct 20
It is getting tiresome watching media, government, and other Twitter folks present erroneous numbers for certain states’ #Covid19 positive testing percentage.

Many of the Johns Hopkins percentages are flat wrong, and it's the denominator problem (again).

🧵THREAD🧵

1/
First, it’s important to know that these aren’t "Johns Hopkins' numbers." Their testing data is from @COVID19Tracking, who gets it from state websites.

But there are 3 options from which to choose the test number. Here are the definitions of each, in CTP’s priority order:

2/
1. "Encounters"

CTP's definition:

3/
Read 21 tweets
27 Sep 20
Ok--I said that I'd provide some more information on the issue of how I (and others) have reported testing numbers wrong in several states.

This is actually a pretty big deal, and could affect policy decisions with a cursory look at the wrong positive testing percentage.

1/x
People looking at the national snapshot often use @COVID19Tracking's data. I do. Their site provides easy-to-access data.

And they have updated testing data for several states in a new column on their spreadsheet, but many of us continued to use the "legacy" column.

2/x
For 24 states, using that column provides a *very* skewed version of daily testing numbers (some states more skewed than others), creating erroneously high *current* positive testing percentages.

3/x
Read 17 tweets
26 Sep 20
Wow.

For those who follow my daily data update, I have a major adjustment I need to make in several states. 24 out of the 50 states are being reported exactly like Florida in terms of test numbers and positive %--which is DEAD WRONG (and inflates % positive).
I had no idea it was this big a deal, but it's a very big deal. Here's a thread on why it's a big deal:
Bottom line: @COVID19Tracking, and everyone who builds graphs off of it, use data for "new tests" that does not include anyone who has ever been tested before!

CO, ND, SD, and a ton of others--their percent testing positive are simply nowhere near as high as I've been reporting.
Read 4 tweets

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