There is a surprisingly simple "hack" to doing well in college classes, even fairly hard ones. Say you want to do well in intermediate physics, chemistry, math, etc. Just find every textbook written about your subject, read and do/figure out the answers to all the questions
This works in my experience because it's pretty rare for faculty to come up with test questions literally out of nowhere: often they're taken from other books. Even if they are "new" someone's often come up with the same thing before and it's in a book somewhere
There are realistically only so many good test questions one can ask about intermediate physics, and it's entirely possible (though tedious) to get through most of them
IMO, this is also nontrivial advice, because I find students tend to be fairly unwilling to use textbooks other than the one they're assigned. I think one actually learns more in general from reading more textbooks, than reading one really closely. Up to a point of course
Classes and tests are of course generally mostly a massive waste of time, and I hope you are never in a situation where it is super important to you to get like 99% on a test - but if you ever are...
Another underappreciated thing is that some textbooks are better at explaining some things. So spending less time on more books, you get to "lean" towards the explanations that make more sense to you. Ppl tend to get stuck on books and blame themselves

Often it's not that you are bad, it is just that the book actually did a poor or lazy job on explaining something, and another book may de a much better job
Also note that this is ultimately kind of unproductive in most cases, because much of what you are really learning is "test tricks" rather than content. Kind of like math olympiad prep. But again, if for some reason it's needed...

And another point, this doesn't actually take 5x the time, maybe something like 2x for 5 books, because you've seen most of the stuff, and you can skip the common parts only focus on the new/different pieces

Another good point is that this "hack" really exploits the "artificiality" of classes, that they really test you on a set of known things. Which is very different from pushing the boundaries of knowledge/creating anything new

The thread's meant very much in the spirit of this from @arpitrage, where someone just pre-prepares whole responses to essentially every possible Cambridge essay question, turning an unstructured-prompt-question into a recall-question

Also a "hack" by my definitions, in the sense that it addresses well a test format in a manner very different from the way the test format was "intended" to be addressed. Also probably largely a waste of time grand-scheme-of-things. But hey, it's possible!

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More from @AnthonyLeeZhang

20 Jun
Automated market makers seem like a good tool for videogame economies. Say there is an in-game resource called, ruby, or something. NPC shopkeepers could deterministically set a price for rubies based on current inventory: lower inventory, higher prices
A few benefits of this:

- The NPC shopkeeper actually keeps a book and makes a profit, which could enable some interesting in-game behaviors (let's bankrupt the shopkeeper!)
- For resources that have stable/quickly mean-reverting in-game value the shopkeeper basically steadily profits from bid-ask spreads, like stablecoin pair market making
Read 6 tweets
11 Jun
So I randomly got a text from an unknown number to join a whatsapp crypto trading group
The goal of the group seems to be to "analyze the BTC and ETH markets" jointly...? and make money?
I thought the group was about making money, but there is a bunch of weird talk about reincarnation
Read 16 tweets
11 Jun
Thinking about the Coase theorem. What would happen if there was a way to just paid NIMBYs for new buildings next to them. For example, when a new building goes up, developer pays each resident within 2 blocks or so, say, $1000 or so
If a new building comes up next to me and I get nothing but crowding and neighbors I don't like, obviously I'm going to oppose it. If I get some $$$ that might change my feelings. I guess the question is, what's the effective WTP of a representative NIMBY for keeping others out?
I get all the responses about consolidation as a first-best, but in practice it's not going to happen everywhere. Why not some form of externality payments as a second-best?
Read 5 tweets
11 Jun
There seems to be a kind of interesting "banks as secret keepers" / "opacity of debt" thing going on with DAI. My understanding is that DAI is a stablecoin backed by many different kinds of collateral: ETH, USDC, etc.

reddit.com/r/MakerDAO/com…
So each DAI is actually backed by a different kind of collateral... but my understanding is they trade in a market with a uniform price? Which I suppose reflects the average value of the entire collateral pool
Which means that, by injecting a bunch of pretty safe collateral (USDC's) the average quality of the pool increases. But why don't market participants try to differentiate between "good collateral" DAI and "bad collateral" DAI?
Read 4 tweets
16 May
Thesis: crypto developers should explore the broad idea of "non-transferable tokens" (NTTs)

In the classical economy, there are many instances where firms attempt to limit the transferability of products they sell
A few examples:

- Tickets (concert, airlines)
- Video games (steam), other e-content (e-books, movies)
- Parking spaces
There's a couple motives for this.

- Price discrimination: firms may want to charge diff prices to diff parties. Transferrability makes this impossible
- Limiting speculation/bubbles: ticket "scalpers" buy tickets to flip, which may crowd out fundamental buyers
Read 10 tweets
16 May
A sort of incredible thing about markets is that they aggregate information and coordinate behavior, often without any participant really seeing/understanding the "big picture"
In this case, if Xinjiang miners were sufficiently decentralized, perhaps even they were surprised that they collectively made up 35% of hash rate!
I speculate this is true of most markets: nobody really understands, for example, the exact breakdown of who is doing what in cases like GME, treasury market craziness of March, etc
Read 14 tweets

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