Sam Marks

Covid 4/29: Vaccination Slowdown

It's mentioned in the screenshotted White House statement, but bears emphasizing: the U.S. is also sending vaccine ingredients to India for them to produce vaccines with, effective immediately. This is important because India apparently has good production capacity, but lacks raw materials. Depending on how much raw material we have and how long it takes to turn raw materials into shots in arms, this might be more impactful than the decision to share stockpiled doses over the coming months.

(I'd also like to complain that in the "India" section, all the object-level information about what the U.S. is actually doing is relegated to links. Without clicking through to them, we're only treated to Zvi's commentary on what's being done. Zvi's commentary is great, that's a big part of why I'm here. But after reading that section, I felt like I had no idea what the U.S. was actually doing -- only that whatever it was, Zvi thought it wasn't enough.

In any case, keep up the good work, Zvi!)

For mRNA vaccines, is (short-term) efficacy really higher after the second dose?

Umm ... that's weird. I'll paste in the picture again and maybe that'll fix whatever bug is going on? Let me know if it loads now.

Covid 4/22: Crisis in India

I wouldn't trust the vaccine hesitancy data at the sub-state level. From the methodology here, the state level data come from the Household Pulse Survey (HPS), and the local estimates are produced by adjusting these data using sociodemographic factors:

Our statistical analysis occurred in two steps. First, using the HPS, we used a logistic regression to analyze predictors of vaccine hesitancy using the following sociodemographic and geographic information: age, gender, race/ethnicity, education, marital status, health insurance status, household income, state of residence, and interaction terms between race/ethnicity and having a college degree.

Second, we applied the regression coefficients from the HPS analysis to thedata from the ACS [a survey with local demographic information] to predict hesitancy rates for each ACS respondent ages 18 and older. We then averaged the predicted values by the appropriate unit of geography, using the ACS survey weights, to develop area-specific estimates of hesitancy rates.

Note in particular that "state of residence" is one of the variables in the regression.

More info can be found here.

Best way to write a bicolor article on Less Wrong?

You could use a monospace font, the same way that Douglas Hofstaedter distinguishes strings of a formal system in Godel, Escher, Bach. It's poetically appropriate because Hofstaedter was trying to solve the same problem you are: use typesetting to set apart map and territory.

Covid 12/3: Land of Confusion

Minor correction to the "How Many Undiagnosed Cases" section (I think): the CDC calls the parameter they're estimating "Mean ratio of estimated infections to reported case counts," which seems to imply it's the ratio [estimated actual cases (including reported ones)]:[reported cases]. They say their best guess is 11 with a range of (6,24), meaning that you've added 1 to all of these numbers. That would be correct if the CDC's parameter was meant to be [estimated actual cases (**not **including reported ones)]:[reported cases], but that doesn't seem to be the case here.

Why Boston?

The SSC meet-up during Scott's meetups everywhere tour drew over 140 people. So there's a bunch of rationalists, but not any hubs. (Though there is a group house in Cambridge that runs LW meetups.)

Why Boston?

Boston resident here, so I thought I'd add some more points and further emphasize some things.

- The bike infrastructure is
**really**good, and rapidly improving. In fact, there's so much bike infrastructure that I want to make the converse warning: if you are a nervous driver, driving around here can be terrifying because of the bikers. - The winters can be quite brutal (though they seem to be getting milder). And since Boston is way too far east for its timezone, this means that the winter sun sets very early (think ~4:30pm).
- New England in general, and Boston in particular, is very lovely. If you like the European town aesthetic, this is probably the closest you can get in the U.S.
- The food scene is pretty bad -- food which is both good and cheap basically doesn't exist.
- People here are very young, especially when all the students are in town. Whenever I leave Boston, I'm shocked at how old the people are.
- Marijuana is legal here. However, the dispensaries can be inconvenient to get to: none have opened yet in Boston or Cambridge.
- I really love living here, and almost everyone I know also likes living here. The exceptions tend to be Californians, though. Did I mention how brutal the winter is?
- Whatever those Intangible Qualities of a Happy Place are, Boston has them. I'm not sure what gives Boston this feel; I think it's some mixture of excellent green space, good walkability, a sense of history, small-town aesthetic blended with big-city resources, and generally well-educated and competent populace. Think of the anxious feeling you get when you feel like the world is falling apart and there are a million little things coming apart at the seams -- the felt sense of Boston (at least for me) is the polar opposite of that.

The Goldbach conjecture is probably correct; so was Fermat's last theorem

So Andrew Wiles's genius was in showing there were no unexpected obstructions for the "likely" outcome to be true. That's why the proof is so hard: he was trying to prove something very "likely", and show an absence of structure, rather than a presence, without knowing what that structure could be.

This is a poor description of Wiles's proof; in fact, I would call it diametrically wrong. Wiles proved the *presence *of a very rigid structure - not the absence - and the presence of this structure implied FLT via the work of other mathematicians.

I don't have a great understanding of the broader point you are making, so I don't know how big an issue this mistake presents. However, be aware that the paradigm you've extracted from the ideas in this post has lead to at least one incorrect prediction.

I'll try to explain how Wiles's proof diverges from your model of it by way of analogy. Suppose that we instead wanted to prove Fermat's first theorem:

**Fermat's first theorem: **For every *even* integer there are no nontrivial integer solutions to the equation .

Further suppose that in our world, mathematicians know about the notion of positivity and absolute values, but the proof of the following fact has long evaded them.

**Positivity conjecture: **For every integer , we have .

The positivity conjecture is a very important structural fact about the integers. And it immediately implies Fermat's first theorem (since the left-hand side must be positive, but the right-hand side must be negative unless x,y,z are all 0). So Fermat's first theorem follows from an important structural fact.

However, in our supposed world, mathematicians don't have access to the positivity conjecture. They might perform the exact same analysis in your post (it goes through verbatim!), and conclude that if you check Fermat's first theorem for enough n, then it is probable to be true. However, it is *not* true that the proof of FFT via the positivity conjecture is "proving an absence of structure" - quite the opposite!

The analogue of the positivity conjecture in the real world is the Modularity theorem. This is what Wiles actually proved, and it was already known that the Modularity theorem implies FLT. And as with the positivity conjecture, the Modularity theorem is a very powerful **structural **result. To give a slogan, it says that every elliptic curve over is "modular," meaning that it relates in an appropriate way to an object called a modular form.

Yes cases show up in the data on the day that they first report symptoms, not when they were first exposed. As you say, this means that if the data show some efficacy on a given day, you should actually expect to be protected at that level a few days before.

Wow. I know that because of side-effects these things can never be fully blinded, but this is just horrifying.

(Technical point: the phase 3's still were randomized controlled trials, they just weren't double-blind. But double-blind is the relevant characteristic when asking whether the different results are due to partying Israelis, so that's fine.)