Awful take, habibi.

Tell me @NateSilver538, what’s “actual science”?

Political polling is in shambles, why don’t you stick to that and let “actual” scientists handle this, mmkay?
habibi, what’s actually happening is that you’re just arrogant enough to misinterpret models you don’t understand & write whole damn tweet thread about it. And you forget this isn’t sports or politics. Trust matters here, & you’re undermining it out of ignorance/arrogance.
So while we’re at it, take some notes: predictive modeling, which you do, is not the same as causal modeling, which we do.

We don’t just throw a bunch of variables into a model to maximize fit. We ask how variables may explain impacts of other variables.
This model was adjusted for a number of key chronic disease risk factors, which ultimately blunt the impact of the chronic diseases they cause in the model.

How many people have you met with renal disease who don’t also have hypertension?
Age clearly matters, but much of the impact of “age” in these models isn’t simply age in years, it’s also residency in long term care facilities (40% of deaths), which obviously tracks with age—and those folks were among the first to get vaccinated.
So, you’re interpreting models you don’t actually understand and haven’t thought through to make policy claims that are already being addressed.

Now that I come to think of it, it’s not surprising that political pollsters get things so wrong if this is the slapdash work you do.

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More from @AbdulElSayed

22 Jul
When you read #COVID19 headlines like this, the key takeaways should be that:

1) we’re not testing enough
2) we’re testing the wrong people
3) asymptomatic & low symptomatic spread are a big issue

1/
statnews.com/2020/07/21/cdc…
Our lack of testing has been a consistent problem (nevermind what the politicians tell you) since day 1.

But it’s also about *who* gets a test. A test is only as good as the info it tells you. So you don’t want to use it to tell you something you already know.

2/
For example, if I told you I had a test to tell you your eye color, would you take it? No. Because it doesn’t tell you anything new.

But testing strategy in the US has been used this way too.

Especially early on, but even now, we mostly test symptomatic ppl w/ exposure.

3/
Read 6 tweets
21 Jul
Fascism is a word so often misused, that it immediately elicits eye rolls from serious ppl.

But it has a meaning: ultranationalist, dictatorial gov’t that deploys fear of the other, both inside & outside the nation, to consolidate power.

Trump is accelerating fascism.

1/
Think about the way Trump talks about #BLM protests as an “anti-American” Force, not out to promote racial equality, but to tear down American “heritage.”

His deployment of CBP paramilitary on the streets in #Portland is a profound escalation acting on that narrative.

2/
Consider the fact that he continues to call #COVID19 the “China virus” and stoked conspiracies that it had been developed in a lab in Wuhan to reinforce the narrative that they are the enemy abroad.

3/
Read 20 tweets
19 Jul
A thread of @realdonaldtrump quotes about #Coronavirus in chronological order for context the next time he calls #DrFauci "alarmist":

1/30 - "We only have five people. Hopefully, everything’s going to be great."

2/2 - "We pretty much shut it down"
2/10 - "Looks like by April, you know, in theory, when it gets a little warmer, it miraculously goes away."

2/24 - “The Coronavirus is very much under control in the USA."

2/26 - “When you have 15 people...that’s a pretty good job we’ve done.”
2/28 - "Now the Democrats are politicizing the coronavirus...And this is their new hoax.”

3/6 - "Anybody that wants a test can get a test."

3/10- "we’re doing a great job with it. And it will go away. Just stay calm. It will go away"
Read 7 tweets
13 Jul
No, scientists & doctors didn't "lie" to you about #masks.

To think so requires a fundamental misunderstanding of science & public health policy.

Scientific knowledge changes. Public health policy changes with it.

Mask policy is an example.

A thread:

1/
Science is not a body of knowledge. It doesn't *say* anything.

Science is a process.

We propose hypotheses about how something works in the world, then use experiments that try to disprove those hypotheses. If we can't disprove them, we assume them to be true--for now.

2/
The novel #Coronavirus is "novel" because it only emerged in humanity at the end of last year. Obviously, that's not a lot of time to study & understand this virus.

When it first emerged, the science community reasonably inferred it would behave like other coronaviruses...

3/
Read 10 tweets
8 Jul
I support #MedicareForAll. It's why I supported @berniesanders. It's why I co-authored "Medicare for All: A Citizen's Guide" w/ @micah_johnson_.

And it's also why I agreed when Bernie asked me to join the Unity Task Force on healthcare.

A thread:

1/
Joe Biden isn't Bernie. He does not support #MedicareforAll—we deeply disagree on this.

But he does support universal coverage, expanding public coverage, reining in Pharma, & health equity—things we DO agree on.

Our Task Force recommendations build upon these aims.

2/
Our Task Force worked hard & I'm grateful to the team & Co-Chairs @PramilaJayapal & @vivek_murthy.

We didn't agree on everything, but we came to recommendations that will yield one of the most progressive Dem campaign platforms in history-tho we have further yet to go.

3/
Read 19 tweets
26 Jun
Usually it takes more than 4 months for history to repeat itself. But here we are.

THREAD

Politicians still haven't wrapped heads around the dynamics of #COVID19.

Some truths:

1) You aren't seeing what's happening *today* you're seeing what happened 5-7 days ago.

1/
2) The number of cases isn't as important as the speed of spread. Once you have several days of increasing cases in a row, you've got a big problem...

3) ...because when it hits peak spread, it doubles in 2-3 days.

Put all that together...

2/
...and it means that by the time your daily case numbers show a week of increasing cases, you're WAY behind on trying to curb it.

In fact, you could be looking at an undercount by a factor of 4-16x because of points #1 & #3.

You need to act. You needed to act 1-2 wks ago.

3/
Read 6 tweets

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