I have mixed feelings about the criticism that the public health community didn't do a good job communicating with the public. On the one hand, it's clear that things could have gone better. On the other hand, the criticism strikes me as extremely unfair.
First of all. Who was the public listening to? They were listening to random people on the internet with no expertise at all. They were listening to science communicators with no connection to government or authority over anything.
They were listening to professors in universities. Physicists and aerosol chemists and virologists. They were even listening to silicon valley venture capitalists.
They were listening to multiple levels of government in multiple countries. They were listening to their local community public health department. Their state health department. The CDC. The WHO.
They listened to president Trump. They listened to random leftwing and rightwing senators and congress persons. They listened to CNN and Fox News. They were comparing what governments were doing in China and Sweden and Japan and the UK and Italy and the US and on and on.
The public tried their best to get all this information to line up. Surprise, surprise. It didn't. This naturally lead to frustration. But let me ask you a question. WHY on earth would thousands of viewpoints from all ends of the earth line up and form a coherent narrative?
We could blame this all on public health experts but it feels more like a 21st century thing. WE have a crisis of trust. We hear too much and trust too little. Social media warnings about "misleading information" don't cut it because we don't trust the social media giants either.
I don't think our fight is with public health experts. We seem to have an expertise problem in general. We can't identify it when we see it. We have a trust problem. We can no longer tell what a trustworthy person looks like.
We tear down our experts and then feel abandoned and bitter when this leaves us to decide on our own.

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More from @kareem_carr

12 Jun
I think a lot of anti-CRT people would agree that "white" isn't a very useful label. People are Irish or Italian or German heritage or whatever or better yet we are all just individuals that deserve dignity. "Black" and "white" are weird social constructs that somebody made up.
If "black" and "white" and "race" in general are all just constructs that keep us divided then shouldn't we work together to dismantle these arbitrary categories so we can all just live our lives as individuals?
The good news is I think a lot of CRT folks also agree with this. As far as I can tell, many CRT folks also want to get to a point where we can abolish these arbitrary racial constructs so we can live in a freer society.
Read 9 tweets
12 Jun
I think that Ibram Kendi is just a consequentialist. Consequentialism is an ethical theory that judges whether an action is right or wrong based on what its consequences are. By applying this to race, he concludes that all actions are either racist (wrong) or anti-racist (right).
Consequentialism has a long tradition in the West. It goes back to Jeremy Bentham (late 1700s) and John Stuart Mill (mid-1800s). It's also a cornerstone of Utilitarianism which is one of our main moral traditions.
To summarize, when Kendi says every social policy is either racist or anti-racist, this is just consequentialism, which is clearly grounded in classical Western thought. If you disagree with this then I think your fight is with Consequentialism as an idea not Kendi himself.
Read 4 tweets
12 Jun
I finally learned what CRT is. From what I understand, the idea is this: if you let people who assume black people are inferior create a social system then that social system will likely have the assumption that black people are inferior baked into it. This seems obviously true.
This isn't race specific. It should be intuitively clear that when humans design systems, they tend to bake their assumptions into their designs. As a statistician, I see the consequences of hidden assumptions all the time.
A lot of anti-CRT folks seem to think saying "the system almost certainly has racist assumptions baked into it" is the same as saying "EVERYTHING is racist". This is binary thinking which is a cognitive bias that happens a lot when people feel threatened.
Read 5 tweets
27 May
My opinion on Bayesian statistics is it flows naturally from a Bayesian philosophical perspective but since no philosophy is universally accepted among humans, Bayesian statistics is deeply in conflict with how many people see the world. Whether this is good or bad, I don't know.
Frequentist statistics is grounded in frequencies of events. Since all humans can (objectively?) observe events and count them, Frequentism starts out from a more simple, less philosophy-dependent position.
People can and do add their own philosophies on to Frequentism which can make it seem a bit philosophically confused and incoherent. I think this incoherence and confusion is what Bayesians are often reacting to when they critique Frequentism.
Read 5 tweets
13 May
how it started how it's going
apparently you can just buy mushroom growing kits on internet. these are called pink oysters. imma bout to fry these bad boys up. will keep you folks posted.
a little butter, garlic, salt, pepper. not going to lie. i’m having mixed feelings about cooking and eating my children...
Read 4 tweets
7 May
People ask me about getting started with data science all the time. So I came up with three paths for self study: Easy, Medium and Hard.

Continue reading to hear about each path and see my book recommendations. 🧵👇
EASY PATH. On this path, you will get lots of practical skills but only an intuitive sense of the theory. I think the easiest way to start is to read a good data science book and get your hands dirty. I like to recommend "R for Data Science" for that.
MEDIUM PATH. This path gives you some theory with an eye toward applications. A lot of books at this difficulty level suck. The formatting and writing are often bad and the authors are clearly phoning it in. I like "Think Stats" because it's not like that.
Read 6 tweets

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