One thing ex-post kind of puzzling. In the US, there seems to have been much more public skepticism/outrage/distrust about mask-wearing, compared to vaccination
This is interesting because:

1. Masks, whether they are useful or not, are not new, and obviously not harmful
2. The vaccine is totally new science
You might think the American population's opposition towards 1. is driven by anti-science sentiment or something. It is then puzzling that ppl have been so willing to embrace 2., with (afaik) so little backlash/conspiracy theory/etc surrounding it
Some hypotheses about where the difference in public opinion/perspectives of masks and vaccination arise from:
Messaging: Trump + some of the public health establishment were anti-mask to begin with, creating a lot of confusion. Messaging about vaccination has been comparatively smooth and unified-front
Salience: ppl get into big fights about masks, because you can tell by looking at someone whether they're wearing a mask or not. Comparatively harder to pick fights with people who have gotten vaccinated.
(Also, masks are required for entry into various shops, etc. but we haven't yet gotten to the point where proofs of vaccination are useful anywhere? When they become useful, the public fights about vaccine requirements will likely start)
Or to put it in other words. The fact that there is a lot more public conflict over a very old tech - masks - rel. to a very new tech - vaccines - suggests that something other than "scientific new-ness" is driving this conflict
This is interesting because public science skepticism seems then to depart substantially from scientific-Bayesianism. Suggesting stuff like messaging, salience, etc. then have a surprisingly high capacity to shape the public's attitude towards science
This was pretty salient to me as there was a "If you have ever ___ you shouldn't worry about what's in the vaccine" memes going around... but there's been surprisingly little worry about taking the vaccine, as far as I've seen
I guess another element is the game theory is a bit different. Masking is a bit of a prisoner's dilemma: wear a mask and you have to keep wearing a mask until the whole thing is over, if no one else is wearing
Whereas vaccination is almost dominant-strategy incentive compatible. Get vaccinated, and the pandemic is essentially over for you, regardless of whether others vaccinate
And another point: if you think the mask debacle was partly due to mixed messaging burning the govt's credibility early on. It is surprising how transient that effect was. You could imagine ppl, after the mask issues, losing trust in the govt and refusing the take the vaccine
Instead people seem generally trusting of the govt as to what is in the vaccine, as well as how it's distributed, etc. So the loss of trust associated with masks stuff seems surprisingly short-term and localized

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More from @AnthonyLeeZhang

30 Mar
This is interesting as it raises a fun "boundaries of the firm" question. In the past, writing, editing, publishing, graphics, etc. were organized within firm boundaries. Substack makes writers mini-entrepreneurs
At the moment they do their own editing/etc., but you can imagine industries will pop up to provide editing, etc. services for creator economies.

But if these are organized as arms-length transactions rather than within a firm, how does this affect moral hazard/agency issues?
In a big firm, proofreaders/researcher/editors have reputational incentives to get things right. If you hire these Upwork-style, do they have similar incentives? Presumably ratings matter, so that's one thing
Read 5 tweets
30 Mar
The recent Archegos saga is a fun piece of game theory. Stylized model:

- Suppose Hwang is long $50bil of, e.g. Tencent on 5x leverage. Technically this is being held by a few banks on his behalf, say, Goldman, Morgan Stanley, Nomura
Suppose Hwang runs out of margin and the banks decide to sell off his position. They realize they are stuck in a kind of prisoner's dilemma.
Trades move markets. If you try to sell $50bil of Tencent into the markets in a day, well, there aren't many buyers so you'll end up with much less than $50bil.
Read 7 tweets
28 Mar
Cool idea. Somewhat related: there seems to be a difference between "specialist" and "generalist" kind of roles in general in industry, government, etc
"Technology" being inherent highly "specialized". "Technocracy" might be defined as "we should run society by dividing social problems into specialized chunks and assigning the best specialist to each chunk"
Other social roles such as being a CEO, news reporter, <others?> are inherently "generalist" in the sense that they require interfacing with lots of different specialist areas. Role perhaps is somewhat more about understanding emergent system-level properties/drawing connections
Read 5 tweets
23 Feb
If you're in a top-10-ish US undergrad, there is a playbook which still gets you a good shot at top-10 econ PhD programs straight out of undergrad

(I think it's extremely unfair that this essentially only works for top US programs, but, info is info)
1. Major in math, or any major that lets you take hard math classes. Definitely take real analysis, and if possible a couple higher level classes (e.g. measure theory, stochastics, functional analysis, etc.)
2. Skip most of undergrad econ. Take a few classes in the PhD first year and get A's

3. RA for econ faculty, starting from around 2nd or 3rd year

4. Aim to have all this done by end of 3rd year/start of 4th year
Read 9 tweets
23 Feb
Hate to be a broken record but. Blockchain. Videogame. Skins! Do it! Artificial scarcity! Tokenize everything!

notboring.co/p/the-value-ch…
There is a huge demand to non-fungible-ize things. Own a mass-produced watch, pass it down a few generations, and it becomes a family heirloom - different from every other identical watch coming off the same factory line. A physical NFT
Bottle up some grape juice, hire some famous artists to slap a label on it and it's worth thousands (wine folks, don't cancel me)
Read 5 tweets
21 Feb
This is good and basically a 5 minute read

chiefofstuff.substack.com/p/commenting-v…
Quote. Applies for giving feedback on papers also. I find the most useful feedback comes from, put yourself in the author's shoes. What is something they _could realistically do_, which _they might also be interested in doing_, that they may have missed? Image
I think here are some "mistakes":

- Wishful thinking: wouldn't it be great if you used microdata instead of aggregate data (yes but I don't have it), wouldn't it be great if you had a perfect instrument (don't have it)
Read 4 tweets

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