what I want my kids to know

I went to Catholic school for K-12. Public schools were less than good where I grew up. My kids go to public school. The K-8 schools here are fine. Better than where I was raised but still nothing special.

The biggest difference is demographics. This is an upper-class area, the student body on average has a natural head start academically. You can attribute it to nature or nurture but it’s true. The mean OLSAT scores, which determine if your kids get into gifted programs, are a full standard deviation higher than the CA mean. Since the test is approximately an IQ test, that places the mean public school student at around 115 in this area. You need to be somewhere around 1.5-2 standard deviations higher than that mean to make the gifted programs here.

There are children of founders, scientists, artists, doctors, lawyers and athletes. Several are legit famous (Steph Curry lived here at the start of his career and there are a number of NBA, MLB, and Olympians who call our area of the East Bay home. Alanis Morrissette lived a few blocks away from the first house I lived in here, but has since moved, and the Chevron CEO’s house is on the best block for trick-or-treating. I think he’s not here anymore either, though). There are many more famous in their fields. But it is a deeply understated area as I can think of at least 3 billionaires in town and probably 2 dozen centimillionaires, but you are not going to find a 30k sq ft house anywhere in the vicinity. It is the opposite of Miami. It is what my friend Jason Buck calls, “stealth wealth”.

Beneath the fancy folk, there’s a thick sedimentary layer of unmemorable overachievers (like yours truly) ranging from white collar workers to the type of entrepreneur who calls themself a businessperson, not a founder. You own a construction company or a few burger joints that sell boozy shakes.

And then there’s the strata of wage earners with the honest jobs. The kind you find in Richard Scarry books. Nurse, firefighter, teacher, cop. They almost all grew up here. Nobody subjects themselves to the financial punishment of moving here if they make their money the hard way.

Finally, there are the villains of CA. Retired boomers living in $2mm houses, paying $2k a year in property taxes with 2 vacant bedrooms plus a 3rd for their golden-doodle. As an abstract class, I understand the venom, but also these are my neighbors who I mostly get along great with. If I went on Nextdoor maybe I’d feel differently but I choose not to look.

[Everything I said above is likely taken up 1 to 10 notches, depending on if you are in Marin or the peninsula. The East Bay, for all its unrelatability to much of the U.S., is still the most relatable. Much of my surrounding area towns remind me of where I grew up, but parallel shifted higher simply because CA cost-of-living and incomes have a higher Y-intercept. The slope of experience is likely very similar. For Mother’s Day my wife’s extended family of ~50 people visited from various parts of the East Bay and I feel like this is the normal I grew up around, except everyone has straight hair and knows how to use their indoor voice when they’re 12 inches from your face.]

Back to public school. The system itself is incrementally better than home, but the kids are generally pulling from a more talented, competitive, and driven baseline. Life’s not fair and it’s indifferent to your pleas otherwise. I tell my kids this.

On Monday, on the way home from track, I took the 7th grader to Safeway. We were in there for odds and ends. Bagels, sunflower seed butter, milk, berries. 2 paper bags worth of stuff. There was a $30 tub of protein. All-in, $120.

I gave Zak a lecture he didn’t ask for or see coming. “Did you see how little stuff we just bought? 120 bucks, including about 10% sales tax. If you work as that check-out person in the grocery store for $15/hr, that haul is a day of work.”

Then I go on my dad rant about not getting fooled by your surroundings. What school says is an A is nothing but basics. The basics of showing up and executing on what they told you to do. If inflicted by an uninspiring teacher, it’s compliance training.

[I’m not saying everyone should feel this way, you know your own kids. The only way I would not have gotten As growing up was if I were negligent and that certainly happened sometimes, but again, the bar of not being negligent is ground zero executive functioning. If you can’t do that, then it makes sense to track down the reason and decide what the cost/benefit of trying to remedy it or not is. These are personal battles to choose.]

The gears were turning. Both he and his 4th-grade brother were taking this in. I’ve explained this to them before but they were listening now. We chatted for about 45 minutes meandering through several related topics. One question took me off guard because it’s a sharp reminder that their frames of reference are so different that their minds go to places that surprise me. They asked if I had that paper they give people when school is over.

A diploma?

Yes. They asked if everyone gets one if they finish school or if you have to go to a “good” school? A bit of a strategic moment here. I need to simultaneously encourage education without tricking them into placing it on a pedestal. Education at its best is useful knowledge and deep inquiry, but at its worst, the exact opposite — propaganda and conformity (I hate using the “—” but I assure you that was me).

I told them I had a diploma. In fact, it’s framed, a gift to me from their grandma. They asked why I don’t hang it up like the orthodontist does. It was time for real talk.

I explained that I’m not especially proud of my degree. But take full responsibility for my disappointment. I took a non-technical econ degree. It was an easy 4.0 because it relied on me writing persuasive-sounding bullshit on blue-lined pamphlet paper. This didn’t push me to grow.

Then I found myself in a technical career where I wish I had studied what I tried to study at first but gave up on. Computer science. It would have empowered me to go faster. But even more important is the confidence. I was always insecure about not applying myself growing up and therefore having no real skills. Attached to what I was told about my potential for longer than maturity should permit.

Possessed by the ghost of my adolescent guile, I asked Zak if he thought he was actually good at the tasks given to him at school or if he was good at guessing the teacher’s password. By whose standards is your grade an A?

My correction (overcorrection?) now is that I tell my kids the world doesn’t need nor give a smouldering turd about another smart person. Dime a dozen. What you need is nerve. Courage. What’s the point of smart if you can’t get what you want out of life? In fact, nothing is more embarrassing than watching a person who thinks of themself as smart complain. If you’re so smart, figure it out. If you can’t, then your smarts are either not useful, not real, or a party trick. If they are a party trick, find a way to get the trick rewarded so you have less to complain about.

So what is school good for? What can you salvage from the private school or the better school district? It’s a hard question. And I’m at least a little concerned that my impulsive but deeply sincere reply below represents the bulk of my answer.

I’m not trying to manufacture contempt in my kids for their smuggest peers, but I assure you I’m going to look the other way while their mom does.

The excerpt below from author Devon Erikson articulates a phenomena we all see. It’s also deeply related to trading which I’ll explain afterwards.

There are two types of intelligence tasks: answer tasks and result tasks.

A result task is graded by the reaction of the environment to your work. Either your software runs, or it doesn’t. Either your rockets fly, or they don’t. Customer buy millions of your product, or none.

You have unlimited tries unless you run out of money, but there’s no partial credit, and you can’t talk the universe into accepting your answer if it doesn’t.

Result tasks typically require a lot of work, are data-intensive, and have lots of sub-problems, because the ones that didn’t are already solved.

Result tasks are why we care about smart at all. Because smart people are the ones who can do this. And every human advancement or achievement ever was a result task.

Answer tasks are quite different. They are artificial problems created by a human being for another human being, whose goal is to produce the known answer.

Tasks like this have useful features. They can be tightly calibrated for appropriate difficulty. They are easy to grade. They can be used to teach particular subjects or skills.

But there are certain things they don’t teach.

How to do the boring parts that don’t impress anyone with how talented you are.

How to fail and try again.

How to change the question instead of answering it, because the question itself was wrong.

How to absorb from others what they had to learn the hard way, instead of reinventing the wheel.

How to deal with problems that have no solutions, only tradeoffs.

How to work with others and pass the ball.

How not to adapt instead of freezing when the universe gives the exam before the lesson.

How to substitute the adequate you can afford for the ideal you can’t.

How to prioritize what is needful over what is elegant or cool.

Without this learning, and other similar lessons, the talent child turns into an adult with an unbalanced intellectual development, like a bodybuilder who skipped far too many leg days.

You’ll find a lot of men like this in academia because it provides them with a sheltered, tightly controlled environment, where the problems are abstract if not utterly fake, and the persuasiveness of a solution trumps its workability.

They tend to scorn achievers, especially achievers with modest academic credentials or none, and this invites scorn in turn from people with real jobs.

But really what they are is victims. Entire campuses and networks full of what was potential greatness, crippled in it youth by bureaucracies that claim to serve it.

Homeschool your children.

Give them projects, not puzzles.

Teach them to build things.

The bridge to picking better advisors, doctors and agents in life

Devon’s argument is generally about what developers call “acceptance criteria”. The predefined requirements by which a solution is deemed a success.

“Does it fly?” versus “Would leading experts agree that this would fly?”

In a non-fake field, these acceptance criteria would be strongly correlated.

Short-term trading based on high sample sizes has an acceptance criterion of “does this reliably make beyond a narrow slice of world states?”

Investing, the further it strays from the principles that drive trading (for example, deal flow is a universal alpha), becomes faker. It becomes more consensus-seeking. More “nobody gets fired for buying AAPL” than “what have you done for me lately?”. Long feedback loops, loops that can last a career, shield its actors from dispositive resolutions of acceptance criteria.

Investing, like medicine, is a minefield because it’s a complex domain that even bona fide experts have limited, even if deep, knowledge. What is a consumer to do when tasked with finding a trustworthy agent in such a hazardous info landscape?

The trick is at the meta level. To consider the acceptance criteria that their agent uses to make judgments. Shut up and listen to people and they will unknowingly confess their epistemology. In fact, many will outright proclaim faulty acceptance criteria as a sales pitch without a hint of awareness that they are themselves fooled by standards (“I’m 30 under 30”) so fraudulent that those standards are unironically acknowledged countersignals by anyone with basic survival instincts. It’s like advertising alignment with hall monitors and the hopelessly dense.

Another red flag is the equivalent of waving your diploma on social media. An appeal to an authority that is disconnected from relevant questions like “will it bear weight?” or “does it make money”? Here’s an example. I didn’t want to call out the individual who was not only wrong about option theory but superciliously so:

“So and so is great on F&O” and “look at my degrees” are appeals to authority when the topic at hand is only answerable to arbitrage or not. This is a breathtaking juxtaposition of opposing epistemologies. Arbirtage is mathematical proof while a degree is conferred upon completion of fake obstacle courses. Arbitrage is gravity. Its equations exist whether or not someone in a robe approves.

The tweet digs into a defensive posture. Revealing. You don’t make it out of the first 5 minutes of a phone interview in trading with this reflex.

The right reflex is “I raised into a bettor, who has re-raised and I now have to reevaluate my hand.” You didn’t raise in the context of something subjective like religion or philosophy. Your opponent could be and very likely might be holding the “nuts” given this is a public forum with embarrassment at stake AND the right answer is very knowable. I can’t even process how broken your reasoning skills must be to not recognize the nature of information. This is what it looks like to be captured by the fake standards that Devon wrote about. The charitable take is to bemoan a definition of education that permits this as passable thinking. Devon would call this person a victim.

Screening for traders is tough because you have to sort through people that have spent much of their life being right, but are dropped into a game where other smart people raise into you knowing that you are smart too.

It’s hard to tell if someone would be good at trading, but it’s much easier to tell if they wouldn’t. One of the things I’d look for is the type of intellectual humility that you immediately recognize when someone seems to make very few assumptions once they are in a situation where they are confronted with a bet or claim. They have a debugging mindset as they checklist through what assumptions are material to the decision. They have an imagination that survived the weathering effects of formal education’s emphasis on what Devon called “answer tasks”.

If you ever watch a 3-card Monty hustle or even a magic show/sleight of hand, it should remind you that there’s a lot of profit lurking for someone who painstakingly examines the territory where your confidence in appearances stretches further than it should.

Just as it’s hard to tell if someone is good at trading but easier to rule out those whose reasoning machinery is stunted, you should be able to at least rule out bad agents in complex domains by inviting them to talk too much. Go forth and listen.

[Twitter is amazing for countersignals because its incentive structure encourages people to talk too much. I think a lot of famous investors have revealed themselves to be trash investors but good business builders by streaming their thoughts. Unless they are reaping some rewards from manipulation, it also indicates poor risk management. You benefited from mystery and sold it for ego strokes from simping strangers.]

a delightful conclusion to the Investment Beginnings Series

This week I taught Class 5 of the Investment Beginnings series I’ve been doing with the 12+ year olds.

my little guy helping me set-up

It’s the last class in the series before we do “labs” in July. During lab, we’ll convene when the market’s open and I will give each kid individual attention as they execute an investment. I want to make sure they know how to read the screen, navigate their broker site, see the confirmation of the execution etc.

This last class was special. I’ve been posting all the materials online and there are families following along remotely. One dad sent me an app that consolidated and vibecoded the slides and games. He and his son worked on the project together:

https://investment-class.vercel.app/

And this next part blew people’s minds in the class, not to mention my own. A mom brought her son from Miami because he’s been obsessed with the class and wanted to be here in person with the other kids. I’m speechless. Supermom and superkid.

We took them to dinner with my family and brought along my son’s good buddy so our visiting friend would know a few people before stepping into the class. I can’t gush enough about how nice this all was.

When Class 5 ended, a lot of parents came to talk to me and said all this kind stuff and gave me totally unnecessary, generous gifts (I would have done the same so I get it but also just feels like too much). The most important thing is how all these kids’ gears are turning. It feels like a no-brainer to really clean this up (I learned a lot from doing it and know how I’d mod it in the future) and turn it into something. Maybe a well-produced YT thing, but I’m stretched pretty thin. We’ll see, I guess. Famous last words.

Anyway, here’s the outline of class 5 and link to all the materials from the classes.

Class 5 — Making Trades & Reading Markets

  • Different kinds of auctions and how markets are continuous auctions
  • The order book: bids, asks, spread, and what “depth” actually looks like
  • Price discovery as consensus — the price aggregates what everyone knows
  • Market hours, plus what pre-market and after-hours really are (and why beginners should avoid them)
  • Public vs. private markets, with real estate as the bridge example
  • How an IPO turns a private company into a publicly traded one
  • Why baskets exist: the easy button for diversification (callback to Class 4)
  • Three kinds of baskets — index, themed/sector, manager-picked
  • ETF vs. mutual fund: same idea, different checkout (auction all day vs. one daily NAV)
  • Index construction math: cap-weighted vs. equal-weighted, with four real stocks
  • Why SPY and RSP — the same 500 names — can produce materially different returns
  • 🔨 Homework: talk to parents about a brokerage account, ahead of the July lab where students place their first real trades

We spent much of the class doing a mock trading game:

 

How the game worked

There are 16 kids.

  • Each gets 2 cards — that’s private info
  • There are 3 “stocks”: HeartsSpades, and Red
  • At the end of the game, each stock settles to the sum of the cards held collectively in that category across all 32 dealt cards
  • Card values run 1 to 13 (ace to king)

Kids bid, offer, and trade with each other based on what they think final settlement will be. They log transactions on index cards they carry.

Every few minutes, news hits — I reveal some of the remaining 20 cards. These are cards that will NOT contribute to the value of the 3 stocks.

The Teaching Moments

Basic valuation

  1. What’s the maximum value of each of the 3 stocks? (Also a fun way to teach someone to quickly compute the sum 1 to N.)
  2. What is the fair value of the stocks at the start of the game, when no common information has been revealed?

Information and private signals

  1. What is the fair value of Hearts if you’re holding the 9 of Hearts?
  2. Ask the kids: what’s a good hand to be dealt, and why? (A very simple exploration of what “information” actually is.)
  3. After news is revealed, how do you update fair value? Walk through the exact math.

Reading flow

  1. Your fair value is always subject to adjustment based on flow. What is Alice’s bid generally saying about Spades? What is Mike’s offer suggest about Red?
  2. At the end, computing P/L is a big exercise — marking trades to settlement.

We didn’t go into crazy depth on any of these. Just getting a basic understanding easily takes a group of 16 kids an hour, and even then some are lost. Totally expected. Honestly, many adults are too.

It’s super interesting to see who gets it very quickly though.

The origin of the game

This was the first trading game I remember doing as a trainee at SIG. All the new hires in NYC played while the trainees who had been around for 3-9 months traded options on these “stocks.” Their hedge orders would get sent into our trainee market!

Math Sympathy

My wife started the Math Academy diagnostic on Sunday night. She couldn’t remember that if you raise a number to the 0th power, you get 1.

Her frustration instantly reminded me of being a kid and getting mad at math.

She was annoyed because she couldn’t see the intuition behind “if I multiply something by itself zero times, I get… one?”

I don’t get that either. Rather than look it up, I figured we could “prove” that this must be true based on rules that feel more visible.

Here’s how I tried to make sense of it from basics:

I asked her what 2² * 2³ was — something she could manually see as 4×8=32.

Then I said “Represent 32 using the same base of 2”.

She got 2⁵.

I had her write down what we did so far:

2² * 2³ = 2⁵

So what’s the pattern?

“That you add the exponents when you multiply?”

Right — as long as the base is the same.

But here’s the key part: she basically derived the rule herself from observation. And that matters. Most of us don’t like to accept rules “just because.”

So from there I ask what’s: 2³ * 2⁻³?

Add the exponents… 2⁰

But we know, by definition, that 2⁻³ = 1/2³

So:

2³ * 2⁻³ = 8 * 1/8 = 1

So 2⁰ MUST also be 1.

There’s no intuition here—but it follows inevitably from the basic definitions we already accept.

Back to sympathy for the learner…

She still felt annoyed even though she followed the chain. I remember being frustrated as a kid: you can see how it works, but it’s not intuitively satisfying.

As I’ve gotten older, I’ve grown more patient with “I don’t get the intuition, but I see why this rule must be true given the rules I know are inviolable.”

But when you’re young, or new to a topic, it’s easy to get bogged down by “not getting the why.” You don’t yet have the faith that a little time, a few reps, or a fresh look on another day will eventually give you that satisfying resolution in your head.

Without that faith, you feel like you’re following a recipe blindly. Which is, of course, why my wife was annoyed. She doesn’t want to rely on arbitrary memorized rules. When you feel that way, you don’t feel confident — you don’t feel like you could re-derive the rule if you needed to.

It feels like an assault on your independence or intelligence.

Anyway, this is just a thought I had because I totally commiserate with that frustration in numeracy, and this little back-and-forth dominated Sunday night’s family dinner conversation.

By the way, I still haven’t looked up “intuitive explanations for why raising numbers to the zero power equals 1,” but the proof-by-necessity — the “how could it be otherwise?” style — is satisfying enough for me not to care.

slow is smooth and smooth is fast

I really hope to be helpful today so bear with me as this isn’t the rosiest way to begin.

This tweet halted my scroll:

For whatever reason, AOL (what year is this?) has an unpaywalled copy of the article:

A Recipe For Idiocracy

It’s short, but let me pull an excerpt anyway:

For the past several years, America has been using its young people as lab rats in a sweeping, if not exactly thought-out, education experiment. Schools across the country have been lowering standards and removing penalties for failure. The results are coming into focus.

Five years ago, about 30 incoming freshmen at UC San Diego arrived with math skills below high-school level. Now, according to a recent report from UC San Diego faculty and administrators, that number is more than 900—and most of those students don’t fully meet middle-school math standards. Many students struggle with fractions and simple algebra problems. Last year, the university, which admits fewer than 30 percent of undergraduate applicants, launched a remedial-math course that focuses entirely on concepts taught in elementary and middle school. (According to the report, more than 60 percent of students who took the previous version of the course couldn’t divide a fraction by two.) One of the course’s tutors noted that students faced more issues with “logical thinking” than with math facts per se. They didn’t know how to begin solving word problems.

The university’s problems are extreme, but they are not unique.

The article drones on. None of it uplifting.

“We call it quantitative literacy, just knowing which fraction is larger or smaller, that the slope is positive when it is going up,” Janine Wilson, the chair of the undergraduate economics program at UC Davis, told me. “Things like that are just kind of in our bones when we are college ready. We are just seeing many folks without that capability.”

Here’s Jared’s firsthand experience as a teacher while quoting that article:

This should remind you of this quiz from 2 weeks ago

Victor Haghani referring to the quiz (emphasis mine):

It is well-known (and disturbing) that the financial literacy of this audience is, on average, quite low – as evidenced by a mean score of 56% (yes, that would be an “F” if not graded on a curve) on the below five-question quiz, known as the “Big Five” test by researchers. A survey conducted in 2021 found that less than one third of respondents answered at least four of them correctly, the threshold researchers define as “high financial literacy.” At least as concerning as the low test scores is the fact that the scores themselves have fallen dramatically between 2009 and 2021.

Are you seeing a pattern?

The useless question is “why” all this decline. Is it the phones, social media, microplastics, fluoride, the mentality that “kindergarten is the first step to Harvard” is less about upholding standards and more about suing teachers who give bad grades (just scroll thru the results)?

Probably all of them, I don’t know.

And then you have this response to Jared from our mutual friend:

The public discourse amplified by the rich and powerful is tuned to spread to the lowest common denominator. So the average person notices that rich people sound stupid and mistakes the mask for the face. The spread of information has also made corruption more obvious. That Trump’s favors are openly for sale is celebrated by his defenders as transparency. “They were all doing this, at least now we can see it”.

Fine.

I’ll let you keep that defense, but it’s hard to hear that without also hearing “we should all be allowed to crime”. Populism brings some unintentional equilibria I suppose. [I’m warming up to the idea of paying all politicians a salary of $2mm/year but making them truly public servants. All your financial affairs on full display. The fact that Congress can insider trade tells me we are so far from accountability with teeth.]

Adam’s observation is an instance of the current hypernym: honesty is for suckers.

Don’t get me wrong. This is a permissible instinct as trust in institutions disintegrates. But we risk some baby/bathwater mistakes if we malign all institutional failure as rot from within (university-industrial complex) rather than the natural difficulty of keeping up with accelerating times (securities regulation). Human affairs, the realm of politics and coordination, don’t move as fast the electrons re-shaping power and that impedance mismatch is a source of static. But that’s not nefarious. It’s just social physics.

That was a long digression to land me back where I was headed anyway — “be dumber” is an overfit to a moment we are all struggling to understand. It’s a retreat from responsibility. A cop-out. Hopium that there’s a quick way to get above this fray, shielded from the stray bullet from any of cultural ails lurking below the seemingly healthy SPX price.

I’m sorry but you can’t fake A yourself to flourishing. The flourishing is a by-product of the wax-on, wax-off. Confidence in your competence. Having some real to offer. There’s no “getting through this moment” because life is just one of these moments after another. So tie yourself to the mast of self-efficacy and it will all feel calmer.

If you tell me we’ve gained something from the loss of standards above, I’ll listen. But what hasn’t changed is you need something to offer. Society is not your parents. It doesn’t love you unconditionally. It’s hard to make beneficial choices if basic literacy and numeracy isn’t automatic. “I’ll just ask the LLM”. Well, knowing how to ask good questions itself takes intelligence and learning.

[Personal conviction…I think the quality of someone’s questions is a strong indicator of their thinking skills. This is pretty obvious if you spend too much time on X, but a universal example is to think about the last time a child asked you a question that had you go, “Damn, smart kid”. A know-it-all like the nasal boy in Polar Express comes off as obsessive, maybe smart, definitely annoying (although not a crime). But asking the right question reveals layers. For the finance heads, it’s why Jane Street uses this prompt in interviews — see thread. To just give an answer is to misunderstand the exercise.]

Ok, so the trends in reading and math say we are less and less prepared to engage in sophisticated reasoning. And we acknowledge that reasoning is important because it’s the basis of decisions and decisions are the bridge between our internal selves and our physical experiences and conditions.

How do we reverse the trends?

I don’t have an answer for society but I do have answers for you. And your family. And your friends. (“Hey, doesn’t that scale up to society?” That’s cute, did you just arrive from Mars?)

The answer has 2 facets and since we started in the context of math we will stick with it, but I don’t think it’s limited at all to math.

1) The belief that the process of learning itself makes you smarter

We all have potential. Just like in sports. You can’t be Usain Bolt but you can always get closer to your ceiling. We choose which domains to try to move closer to our ceilings since we can’t work on everything. We prioritize based on goals. Fitness, chess, cooking.

Math and literacy touch everything, whether you want them to or not. We are all touched by deals, contracts, transactions, even if we just want to paint. Youth is the rare stage of life where there is time carved out specifically for upskilling your general-purpose machinery of abstract thought, the manipulation of symbols, and the ability to maintain a chain of ideas inside one brain. I’m not sure if the appeal of doing so is universal, but the fact that games and puzzles are not compulsory and in fact pulled, not pushed, suggests that there is something intrinsic about cognitive self-improvement. Fostering this urge requires no justification beyond “it’s fun” but it happens to have salutory effects across your mental wetware and let’s face it, your job prospects, if you insist on being purely practical.

So this gift of time that children are afforded is when the skill of skill acquisition should be taught. I emphasize this because school is treated not as a place where we acquire skills but a place to trot them out for approval. The difference is insidious. As you traverse the years, it’s not what did you master, it’s what grade did you get? There’s really no emphasis on mastery. It’s just “did you go through the motions” for most, and then for the top students, who may or may not have achieved any type of mastery (and if they did it wasn’t to the school’s credit), the school is just a sorting hat. And with grade inflation a bad one at that, making students (and their parents) feel like college admissions is plinko.

My HS diploma-only mother emphasized school because education was the path to a better life. But she specifically stressed math because she thought it literally made you smarter. Her opinion is backed by nothing but intuition and self-flattery (she was a strong math student). But Ced, whose practice and writing is maniacally obsessed with the art and science of getting good at things and separating b.s. that sounds like it works from what actually works in complex domains, sent me a link to mathematician David Bessis’ interview with Russ Roberts:

🎙️A mind-blowing way of looking at math (Econtalker)

Bessis echoes what my little immigrant mom said. In describing what we need to do differently in teaching math, he argues we must not mince words to motivate:

I think teachers should be bold. They should say, ‘It makes you smarter.’”

More:

People hate math because they view it as an IQ test that they’re failing. And, it’s not a test. It’s a technique to get smarter.

If you’re failing, it’s normal because you start. When you start any new sport, you suck at it. There’s no way you’re going to be good on Day One. Just because a two-year-old is babbling, you don’t say: Well, I guess he’ll never learn to speak, but we just won’t bother teaching him language because he’s not good at it. And yet, we do that with math. We say, ‘Well, he’s not a math person. He’s not good at math.’

You cannot teach mathematics to kids who are convinced that your mathematical ability is something that is static… A combination of confusion about the nature of mathematics, and confusion about how the brain operates, and confusion about the origin of the shocking gap of abilities that are visible on a given day in a given high school makes us believe that this thing is entrenched and you’re not going to be able to change it. But it’s not true.

The failure of teaching mathematics—and it’s something that has been going on for not just centuries, but actually millennia—is the failure to admit that we do things in our head. We play with our intuition, we play with images, and these things have traditionally not even been discussed as being part of mathematics.

At school, you enter the room with your intuition, and the teacher is telling you that your intuition is wrong; and you reach your conclusion that intuition is bad and that you’re stupid. But, the thing is, it’s wrong, but it’s not going to be wrong forever. You will gradually evolve your intuition if you confront it with this very special apparatus that is logical formalism.

Mathematics is a technique that, if you learn how to master the technique itself, you will develop your intelligence; you will utilize your brain in a way that you would not be able to otherwise.

But this is really cutting to the heart of my mother’s hunch, which she couldn’t articulate:

I knew when I was a mathematician that what was really interesting to me was not the mathematics: it’s that kind of meta-cognition that you have to learn to become a mathematician. And this is the topic of the book. What do you do inside your head when you become better at mathematics?

It’s worth mentioning that much of the interview is spent on intuition and what Bessis, playing on Kahneman, calls System 3 thinking:

Whenever you catch your intuition red-handed being wrong at something, don’t throw that away. Don’t reject the intuition… Explore it. Try to unpack it… do back and forth until they agree. It may take you five minutes, one hour, a day, a week, a year, 10 years, 50 years.

Bessis argues that this process of confronting incorrect intuition is a uniquely valuable habit because it creates a highly memorable learning stimulus. This rings so true personally. When something goes wrong, when you are snapped out of autopilot, or surprised, the lesson you learn sticks with you.

His last inversion, namely, that math is not a test of smartness but it makes you smarter is a hokey story of being intimidated when Bessis noticed legendary mathematician Jean-Pierre Serre in the audience. After the Bessis talk, Serre said he’d need to repeat the talk because he “didn’t understand a word of it”. Serre was being sincere. Bessis noticed that most people would not admit to incomprehension so easily. And while it’s much easier to do so if you are Serre, whose capabilities are beyond reproach, Bessis wondered:

“Maybe with that attitude, you can become Jean-Pierre Serre.”

Ok, so the first step to improving our abilities in math (or literacy) is believing it’s possible and worthwhile.

The next step is to know how to actually acquire the skills.

2) Skill development is not the same as education

School is time-based education. You do X in 4th grade, Y in 5th and so forth. There’s some acceleration but it doesn’t stretch as far as individual variation because the range would be too wide to contain in a single classroom. The compression hurts not only the top performers but the bottom performers who are hanging on for dear life only to be waved through to the next grade, where the deficiencies compound.

Skill development is rooted in learning science. You are far more likely to have encountered its prescriptions in sports or music than school. I encapsulate a lot of that information in The Principles of Learning Fast. But today I want to zoom in specifically on our foundations because it’s an actionable target if you are insecure about your knowledge and how to go about learning to mastery since you may have never realized that was an option. How could you have realized that…there’s a test tomorrow you need to study for even though you don’t understand the material from last week’s test, right? It’s not your fault but hopefully what you’re about to learn can serve you and your loved ones going forward.

I’m going to let Alpha School’s Joe Leimandt be the messenger. The following flow comes from an interview he did with Patrick O’Shaughnessy.

🎙️Building Alpha School, and The Future of Education (Colossus)

1) Knowledge is hierarchical

Most of knowledge is hierarchical where it’s based on foundation. Algebra is basically advanced fraction manipulation. Fractions is multiplication and division. And you can just keep going down the tree where you have to actually learn bottom-up and have mastery.

2) Well, what is mastery?

Think of a sports analogy like in basketball. If you’re the point guard and you lose the ball 30% of the time going down the court, the coach is not going to be like, hey, let’s work on the alley-oop. They’re going to be like, okay, let’s get back to the basics and master the basics so you can get down the court.

Have you mastered the basics? How good are you? We always talk about in standard school, there’s a whole set of things that 70%—you’re passing, you don’t know 30% of the material, and then they move you on to more advanced things.

This is pretty obvious stuff. You know how this feels:

3)The Swiss Cheese Problem

The problem’s not the algebra, it’s the prior knowledge… if you’re pushing people up and they’ve only learned 70 or 80% of the curriculum, you should think it’s like Swiss cheese. It’s like you’re building a foundation with all these holes. And then eventually as you get high enough, it just gets too much and it collapses and you can’t learn anymore.

4) Going Back to 3rd Grade

If you’re doing fractions and you haven’t mastered division, you’re going to sit there and say, God, this fraction problem is really hard. But the real issue is, well, just go back and learn your division and then the fraction’s going to be easier.

We have one student who was, this is sort of a unique, an extreme example and I hesitate to say it but we had a student who was 740 on the math SAT and in looking they were making careless errors. Some of the problems they were overloading working memory and for whatever reason the student didn’t have fluency of multiplication and division tables. So we literally sent her back to third grade math.

We’re the only school in the world who will take a 740 math SAT student go back to third grade, send back and she got a 790, a 790. And it’s that kind of thing where when you talk about the science of learning and just I say it this way, the parent and the student in this case were not excited that their 740 math student is being given third grade problems. That can’t be the issue, but it is. It is, because you’re overloading the working memory and she’s just making careless mistakes.

My eldest is 12. I keep telling him that the form on his basketball shot is off. He finally asked me to show him a video of him shooting. After seeing it, HE decided he wanted to correct it. He understands it’s a step back to go forward. I gave him tremendous praise for the decision because it’s not easy to make choices like that. It’s an investment in the bigger picture

[He’d like be able to make the HS team and it’s gonna be competitive. His current shot won’t cut it, especially since I don’t expect he’ll be very tall.]

My wife is going to start Math Academy because she sees the kids’ work and, well, there’s lots of swiss cheese in her knowledge. She decided that didn’t sit well with her. The kids asked her what level of math she’s gonna rebuild from and while the diagnosttic will place her, she has no shame about however far it suggests. The 12-year-old would bet he’s ahead and she’s not taking the other side of that.

Everyone is anxious about time. Finish so you can get to the next thing and the next thing. I’m very sympathetic. Things just feel like a race. Business is often a race. It’s hard to backfill expertise or keep up with all the cool new stuff when you’re putting out fires. So I don’t know to what extent we as adults can choose mastery for ourselves. I don’t pretend to know your constraints. But when it comes to the kids, I urge you to think about this stuff. You know what it’s like to have swiss-cheese in your foundation. Holes are not totally avoidable. But rushing to check off “done” is training for a life of cramming. Of seeing a stimulus to grow as an obstacle to relaxation rather than an opportunity to expand your capacity to offer something to others.

That’s a real goal. Not a fake one. Getting there takes as long as it takes for you. But once you’re there you can’t be shaken because the foundation is rock solid. The title of today’s letter is hook to remind you:

Slow is smooth, and smooth is fast

There’s no shortcut to smooth.

why poker is used to train traders

This video is the best articulation of why poker is used to train traders.

From the description:

Jerrod Ankenman, professional poker player, co-author of The Mathematics of Poker, and Quantitative Researcher at Susquehanna, explores the connections between poker and trading. Jerrod, who began his career playing poker and went back to earn his PhD, explains how concepts like probability, expected value, risk management, and game theory apply in both the card room and financial markets. Poker and trading both demand strong mathematical thinking, disciplined decision-making, and the ability to manage uncertainty under pressure. Jerrod shares lessons from his poker career (which includes a WSOP bracelet win) that translate directly into quantitative finance and trading strategy.

If you are a trader this video despite not being technical is alpha. It tells you where to look if you pay attention.

A few ideas I’ll re-emphasize:

SIG treats poker as a structured way to train probabilistic thinking. Jerrod structures the flow of the video as a parallel between 3 concepts in poker and their analogs in trading.

  1. Ante
  2. Decision practice
  3. Interpreting outcomes

You’ve heard this before — both poker and trading require making decisions with incomplete information. But a more subtle point is about speed. The goal in both is the same:

“Make the decision now that’s as close as possible to what you’d decide if you had infinite time and information.”

Both poker and trading have an information structure of what’s private and what’s public. But also what’s behavioral. Examples of the trading version of these ideas:

Private info: proprietary models, internal data, trader knowledge sharing.

Public info: news, filings, Fed releases.

Behavioral info: order flow and price action. In other words, what others are doing.

This last point gets a lot of emphasis and maps strongly to poker because at its core, it recognizes that trading is an adaptive, adversarial game not a physics problem. It’s an evolving pattern recognition and categorization problem.

You can’t model every opponent individually, or every trade uniquely, because you shrink the statistical power of your findings. You must intelligently group similar situations into profiles. Familiar poker examples: “tight-aggressive regulars,” “recreational loose players”. In trading, profiles can account for who (ie retail), periodicity (time of day, time of month, and so forth), or why (index rebalance, hedging mandates).

The art is balancing taxonomy and specificity to have enough data to be statistically meaningful, but close enough to be relevant.

A few other powerful ideas:

The big risk isn’t volatility.

It’s being wrong about your edge. The market wiggles are the nature of the game, that’s not a risk.

[I’ll take a moment to repeat myself — if you blow out because the market moved, you were committing malpractice. Being aware that the market will do things amounts to no more than a toddler understanding of risk. Volatility shouldn’t keep you awake at night. That the exchange might cancel your trades or that they may ban orders should.

From Investopedia on the response to the Hunt Brothers’ silver squeeze:

Federal commodities regulators introduced special rules to prevent any more long position contracts from being written or sold for silver futures. This move stopped the Hunts from increasing their positions by temporarily suspending the fundamental rules of the commodities market. With longs frozen and shorts free to pile in, the price of silver began to slide.

From my floor days, I can tell you there’s lore about who knew the valuable bit of info that you were only going to be allowed to do opening trades on the short side. Exchanges were run by the traders and brokers before they went public. This is the weird black or grey swan stuff that bosses worry about.

A company going bankrupt? That’s a line item in portfolio_shock_analysis.xls, not something that makes you cry in public to your investors.]

Back to Jerrod. A big risk is being wrong about your edge. It’s a risk because edge hides behind low signal-to-noise. This is one of the great teachings of poker. Short-term results are noise. He explains that in Limit Hold’em, even a high edge hand has only .02 big bets worth of expectancy vs a standard deviation of 2.5 bets.

[Kris: In investing language, a .008 Sharpe for one trial. The SP500 has a daily expectancy of about 3 bps and 100 bps standard deviation for a daily Sharpe of .03. The poker hand has almost 4x the noise of the daily SP500 return.]

Since poker teaches that you will make the right decision and still lose money, it trains you to emotionally decouple decision quality from result quality.

This is a ceaselessly profound concept. Not because it’s so clever, but because of how it resists internalization. It’s easy to understand, it’s hard to apply the understanding to how we receive the world. Fooled by randomness might be a tired title, but it’s never been stronger as we are bombarded with data.

The risk of being wrong about your edge is insidious because the relative efficiency of markets means it’s hard to make excess returns, but it’s also hard to lose too much doing sensible things. The problem is when sensible things aren’t adding value beyond randomness, but you think they are. You’re wasting your life tossing coins.

[Unless you like action for the sake of action. In that case, you’re understimulated. Go take a risk in the name of actual growth or something.]

The link between speed and skill

Jerrod notes that you don’t have time to “go to the lab” mid-hand or mid-trade. Edge requires building mental shortcuts and intuitions that perform well under time pressure.

This feels easiest to imagine in the world of sports. I’ve heard elite athletes talk about how the big jump from say college to pros is “just” the speed of the game. It’s not that they are doing new things, it’s that they must be able to do the same things faster without losing precision.

I remember reading a profile many moons ago about Jason Kidd who was known for his passing and court vision. I got the sense that he could see a split second into the future. Being able to make and execute a decision just a tiny bit faster compounds into outlier results over time. The long-term ROI on having your intuition slightly better tuned works to disproportionate effect.

This echoes. We play the mock trading games and some people are just a tad faster every time. Maybe when new info hits the game they refresh their market quickly, not necessarily making a perfect 2-way, but it’s biased in the direction of the asymmetry. Ricki Heicklen discussed this with Patrick McKenzie. If you are trading “the sum of the siblings in the room” and someone’s count is revealed, do you Bayesian update in the right direction and in a proportionally coherent way? When you see someone do this consistently, you know they’re clocking differently than the others (and I’m excluding the clueless whose updates are logically incoherent to how they processed a similar situation in the opposite direction).

In competitive scenarios, if you can debug your thinking in the moment, you’re too slow. When making a market for a broker, you need to hear the order, intention, what’s not said and how the trade looks vs the framing of the option chain in seconds (and this of course assumes your tools are already designed with this workflow in mind, showing you the info you need when you pull up the ticker). This is obviously not happening if you need to step through expected value trees. There’s no substitute for reps if you need to decide faster than the speed of system 2 axon to dendrite sex.

Feedback loops to build that intuition

Jerrod is blunt. The best way to learn in poker and trading is post-mortem discussion. Go over the tape with your team. Chat scenarios. A great feature of trading is if you love it, you want to talk about it, so this doesn’t feel like work.

When I was at Parallax, I used to carpool with 3 other traders. Shout out to Steve, Ben, and Rob — I still wish we livestreamed those rides. The commute in the morning was your typical sports or current events banter (ok fine, gossip). But the ride home was all play-by-play of trading scenarios from the day. What happened, what would you have done there, etc?

While Jerrod treats discussion as the primary way to learn (I agree — trading is an apprentice craft) he does acknowledge a role for books.

[Even though I recommend some books, they are more for describing the overall epistemic landscape or inspiration. 99.9% of what I know about trading comes from discussion or experience. I either learned how to price or think about something from someone else or after discovering first-hand a new way to lose].

He mentions that most poker books are wrong. He offers a strategy for figuring out which ones are good. But he also encourages reading the bad books because it reveals how your opponents might think. That bit reminded me of an old post I wrote:

Twitter Reminds Me Of The Trading Pits

[Random: I was hanging out with a trader from my cohort who now runs education for a big prop firm in Chicago. He was re-learning poker because a lot of the stuff we learned 25 years ago is now considered wrong. I’m not surprised, since 1 year of poker information in the online, poker-on-ESPN, poker-celebrity-giving-TED-talks era likely generated a decade worth of info from 20th-century poker.]

In sum, SIG is using poker to build the same mental circuitry that trading relies on in an enclosed, fast-feedback petri dish. It’s speedrunning experiential learning in a low-signal environment so the requirements of a successful trading career seem less alien. If trading were as easy as “just study and you’ll get good grades”, motivation and time would be sufficient ingredients. With trading and poker, you could have infinite time but if you don’t know how to learn, you’re pushing on a string.


Related to ideas in this post:

  • Trading Is A Team Sportdispelling the lone wolf image and reminding you that forums, Discords, chats make learning together easier than ever
  • 5 Takeaways From Todd Simkin on The AlphaMind Podcastif you like the material above, you’re gonna eat this up
  • Another storied trading firm, Peak 6, is using poker to train. Co-founder Jenny Just admits she was late to the game on this but when you hear what they’re doing you’ll see they are making up for lost time. The poker stuff is at the end of the episode. Most of the conversation is about them buying sports teams.

 

so you’re interested in trading…

Friends,

This is a follow-up letter I wrote to someone who called me interested in learning to trade. Look, trading is a neat career for many reasons (I discuss that at the end of my chat with John). But if you don’t enjoy the material below, it’s probably not a job you’ll like or excel in. Finding that out alone is worth diving into this. From the outside, it’s easy to get a mistaken impression of what trading is. It’s also easy to conflate it with investing.

None of the below material is technical. If you consider it technical, you’re a little bit behind but not drastically if you enjoy the material because that means you can catch up quickly. If the thought of learning this basic stuff sounds like a chore, really, just leave now. No judgment.

[Just as a matter of calibration. If you read this letter regularly, you can use me as a benchmark. I’m not technical by the standards of trading in 2025. I was more on the technical side of traders about 15-20 years ago. If graduating today, my education is too general to get hired as an assistant trader at a prop firm. You can still differentiate yourself by demonstrating an exceptional proof of work in the form of projects, entrepreneurship, leadership or competitiveness. But the bar is high.

Technology is leverage. 99.9%-tile is 1 in a 1000 while 99.0% is one in a hundred. In winner-take-all games, you want mutants not common valedictorians. At this point, my experience is what makes me valuable. My aptitude is average for this field, and below average, for many of the directions it’s heading in.

Luckily in America, how much signal you are doesn’t decide your prosperity. There are a lot of rich idiots because randomness is blind. The less skill you have, the more you want to play roulette not chess. Crank the vol. If you look at the trading or asset management worlds, can you capably classify which jobs are roulette and which are chess? Look at the winners in certain investment-related jobs and you can start to figure it out. This is called being strategic about what you should do and comes way before “I want to be a trader”.

A recurring theme: calibration is everything. Knowing where you are in a pecking order and choosing your actions in light of that is a life skill. You don’t need to be especially smart to do that, but you do need to be self-aware. That means interpreting feedback without your defensive ego scrambling the message.]

In short, trading is competitive. You need a genuine interest to maintain the required persistence when the going gets tough, which it always does. This is true of every competitive field.

Anyone promising easy returns is either:

  • inexperienced
  • stupid
  • lying

In other words, running a grift or flattering an ego gassed up by luck.

If I haven’t deterred you, enjoy the letter…


[name redacted],

As promised, here’s a short list of resources I think you’ll really enjoy if you’re interested in markets, decision-making, and risk. These cover a mix of foundational ideas, practitioner insights, and a few of my own essays.

Trading starts with a general way of thinking — what service does the market need that it offers a return for? Think of these resources as the mental operating system on which the tactical labor runs.

Remember, while investing is compensation for patience and risk tolerance, trading is compensation for research and labor. Work. And that work must outmaneuver the work of the competition. It follows that this will lead you to look for easy games where the best competitors are less likely to look (in fact understanding their barriers will be part of your prospecting).

If you google “trading systems” or anything related to making money from the comfort of your home, there is a high likelihood it’s the equivalent of house-flipping seminar lead gen. It’s a space rampant with unserious grift and marketing.

There is no shortcut. This material is groundwork and since it’s not project-based, should be done fairly quickly (I give some roadmap below). One of the primary benefits of working through this material is seeing if these ways of thinking resonate.

If it’s a drag, you’ve learned a lot about what you’re not interested in, and this is valuable, time-saving knowledge!


Books

  • The Most Important Thing — Howard Marks’ lessons on second-level thinking shines because it’s so approachable. The Gladwell of professional investment writing.
  • The Laws of Trading — Agustin Lebron connects adverse selection, psychology, and rational decision-making. If Mark’s book is a 101, this is the 3rd-level thinking grad course without being formal or technical.
  • Thinking in Bets — Poker player Annie Duke emphasizes one of the hardest but most fundamental principles in decision-making – restraint from judging outcomes by whether they worked. She teaches you to separate decision quality from result quality, embracing probabilities, updating beliefs, and thinking in expected value rather than absolutes.
  • Superforecasting — Philip Tetlock’s research on probabilistic thinking and what separates great forecasters. It’s a manual for improving accuracy and something even more important — calibration.
  • Fooled by Randomness — Nassim Taleb’s classic on luck, risk, and the illusion of skill.
  • Adaptive Markets — Prof. Andrew Lo on the evolving predator/prey dynamics in markets.
  • Retail Option Trading — Euan Sinclair and Andrew Mack’s practical look at option trading frameworks. Although focused on options, the messages are delivered in the context of general principles you must internalize. So think of it as “how they apply the OS to options”. You want to focus on the application more so than the option details.
  • Books by Andrew Mack — worth exploring if you want to dive deeper into what research looks like
  • Poor Charlie’s Almanac — Slipped this in just because. Even middle-schoolers should read it.

Podcasts

  • Risk of Ruin — thoughtful, narrative-style interviews with traders and gamblers exploring the psychology of edge and risk.
  • Bet The Process — focused on sports betting but full of probabilistic and behavioral lessons applicable anywhere.
  • Flirting with Models — Corey Hoffstein’s excellent conversations on quant finance, risk management, and portfolio design (more advanced, so this is aspirational. A glimpse of down the line.
  • Founders — stories of entrepreneurs told through deep dives into biographies, rich with insights about iteration and resilience. Generally motivating. Lots of timeless, simple ideas.

Blogs

  • Money Stuff — Matt Levine. Best finance writer on Earth. A daily habit of reading this will rewire your brain.
  • Robot Wealth — practical, data-driven experiments in systematic trading and learning.
  • Kid Dynamite’s Blog — not currently active, but the archives are incredible for plainspoken lessons from a former trader.
  • Michael Mauboussin’s Essays — an incredible collection of writing on expectations, capital allocation, and decision-making.
  • Newfound Research Blog — Corey Hoffstein again, blending quant research with clear, thoughtful writing.

Moontower Essays

A few of my own writings that expand on themes like volatility, edge, and how traders think:

This portal will help get your brain trained to more probabilistic patterns:
Moontower Brain Plug-In

This portal introduces you to a foundational, often underappreciated understanding of investing: Moontower Money


If I had to pick where to start, I’d say:

1. Howard Marks book

2. The RobotWealth Blog

3. Laws of Trading book

4. Thinking in Bets book

5. The select Moontower blog posts including the Moontower Money portal (the Brain Plug In is more of an ongoing thing to refer back to for brain food).

That should take about a month of reading in the evenings after work ( ~ a book + 2 blog posts per week).

Then I’d read Mauboussin…there’s so much there, it’s not about reading all of it but go with what sounds interesting. His way of thinking infuses everything he writes and those are the thinking habits you are trying to absorb.

Start here:

Probabilities and Payoffs The Practicalities and Psychology of Expected Value

Then from this link try:

Untangling Skill and Luck: How to Think About Outcomes – Past, Present, and Future

From this link try:

The Paradox of Skill: Why Greater Skill Leads to More Luck

The Importance of Expectations: The Question that Bears Repeating: What’s Priced in?

From this link try:

Min(d)ing the Opportunity: Excess Returns Require the Chance to Apply Skill

IQ versus RQ: Differentiating Smarts from Decision-Making Skills

Bootcamps

If you’d like to do a course I’d recommend:


I’ll close with something I told John Reeder near the tail end of the Risk of Ruin episode.

John prefaces my comments with:

Despite the fact that Kris writes about how to learn the math of options and about behavioral elements of trading — and despite the fact that a lot of this stuff is offered for free — some people are just not going to get it.

My take:

It’s gonna sound maybe harsh, but I tend to think that if you’re gonna figure it out, you just kind of are. You’re gonna find what to read; you’re gonna find the right things. And it’s like, if you’re unable to do that meta work, you’re just not cut out for it.

This is competitive. If you need to have your hand held just to figure out what’s good content and what’s not — you’re already cooked. Honestly, I really do try to be optimistic, but I think the people who are capable end up finding what they should be looking at.

On average, it probably works out that the people who are going to figure it out will end up finding the people who would have been their guides. I don’t think anybody’s born knowing how to do any of this. I’m very SIG-pilled in that way — I think you can learn. I don’t think everybody can learn it. I’m not saying that. You absolutely need some sort of minimum threshold of certain characteristics.

John to the audience:

Kris told me he sees a problem that exists today — a widespread rejection of experts. And he says that really isn’t going to work if the goal is to learn. Even the very top people that firms like SIG hire — brilliant, brilliant people — still have to be coachable.

So if those people have to be coachable, then everyone else trying to learn the same material, probably without even close to the same aptitude, can’t start the whole thing by rejecting the idea that there’s anything to learn.

I close that section with:

What does SIG do as soon as they hire somebody? They humble the shit out of them. Every single person they hire is smarter than almost everybody you’ve ever met. But what do they have to do? They have to cut them down a bunch of notches and say, “See everybody else in this room? They’re all trying to do the same thing you’re trying to do. And by the way, you’re not any smarter than any of them.”

So unless you can be taken down to where you’re ready to learn — to become a sponge, to become coachable — it’s not going to work.

Using games to identify bias

Last Monday night, I taught a group of kids (and parents) from the neighborhood and social club a trading game as well as exercises to demonstrate how confirmation bias is always lurking even when a topic isn’t emotional. I also gave them some quizzes which never fail to demonstrate how overconfident we are.

being a bad health role model

Here’s the presentation flow:

1️⃣Open with Confidence Interval Tests

My notes on what to talk about (I didn’t cover all of it because you take the temperature of the room to see what’ll be boring)

Everyone thinks they are a better driver than the average driver. We are structurally overconfident. I say structurally because it’s a conspiracy of how our minds are wired. We don’t look at evidence then form beliefs. We form beliefs easily and then filter our observations through these beliefs — facts that reinforce our beliefs are preserved and evidence against our priors are ignored or discounted.

[Beliefs are like the first sperm to get to the egg — it forms a shield shutting off new assailants. Regardless of the merit of the first idea you heard, dethroning it is difficult which is why a lot of learning as an adult feels like unlearning. You come to realize that many of the things you believe are legacies of childhood, from parents who often times were just muddling thru themselves as many of do today]

2️⃣That leads to a discussion of…confirmation bias

Anyway, you’ve probably heard of this phenomenon— it’s called confirmation bias. You’ve probably heard of many so-called cognitive biases, thanks to the late Nobel laureate Danny Kahneman.

There’s a whole zoo of these biases but many of them can really be collapsed into confirmation bias. Notwithstanding Wu Tang’s objections, CREAM is “confirmation bias rules everything around me.”

Just think of survivorship bias — we look at some super successful person and suddenly everyone wants to know their morning routine or what they read. That 1000 other people who did what they did and didn’t get that outcome is easily ignored. We want to know the pattern, right? We are trying to confirm a belief that cause and effect are related by a string. The impulse is forgivable because that’s how the world works in common, tangible contexts — if I spill this drink, I will feel wet.

But complex contexts, like achieving outlier results, are governed by chaotic processes or what is more academically referred to as “complexity”. Jurassic Park is a great lesson in complexity science — it’s not an accident that Michael Crichton was a collaborator with the Santa Fe Institute (Cormac McCarthy was another), a research org devoted to the science of complexity and making sense of chaos. Great success, a complex outcome, is the result of long chains of serendipity, largely out of our control, resting on a foundation of sufficient conditions of which we have some control.

🧩Give this Confirmation Bias Riddle🧩

3️⃣In making decisions, it’s not necessarily about being right or wrong — it’s about calibration

[In investing, it’s not about predicting the future which nobody can do it’s about getting odds that have positive expectancy compared to your confidence — but you need to be effective at understanding your confidence. Which takes practice! I did not discuss this with the kids and in fact there’s a whole part 2 of this presentation that would make sense for an older group.]

But it’s important to learn about what calibration is because the next level of understandinf confirmation bias is to know that it is insidious because it often comes dressed as rigor.

I’ll give you an example.

CIA’s Psychology of Intelligent Analysis cites an unpublished 1973 study by researcher Paul Slovic demonstrating how horse handicappers confidence grew faster than their accuracy as they get more information. [Tell the story]

4️⃣Practice with quizzes and games

Give them the link to try to test their calibration at home:

http://confidence.success-equation.com/

I shared my results. If anything they show caution — which tracks…my biggest risk as a trader was not that I was gonna blow up, but I wouldn’t maximize because I was always paranoid about what I didn’t know. That’s no excuse of course, it’s just diagnosis.

Evergreen:

Targeting adults…

Why do I bring this up?

This is a hazard in a world that tempts you to lever yourself on confidence as asset returns from stocks to housing to gold to crypto all sit near all-time highs at the same time trading & gambling, including the recent developments in prediction markets (Robinhood/Kalshi CFTC going around states rights to regulate gambling) is shoved down our throats.

One of the most helpful things I can do is offer some perspective on the nature of markets. My goal, as you’ll see, will actually be to have you viscerally feel their nature through a game we will play.

Game description

⭐Bonus Section inspired by the confirmation bias riddle…

I’ve long thought that a good barometer of intelligence was asking good questions. I think this will be more obvious in the age of AI where people who are skilled at prompting, ie asking questions to LLMs, will get a lot more mileage out of the technology as opposed to using it as a glorified dictionary.

So I posed the famous fork in the road riddle:

You reach a fork in the road. A sign explains that in one direction is Heaven and the other is Hell. Each path is blocked by a Guard. The sign goes on to say that one of the guards will always lie and the other will always tell the truth, it does not say which guard is which. We assume that the guards do know which path leads to where.

You may ask one question of only one guard in order that you can determine, with certainty, the way to Heaven. What is that question?

You can see the solution here. I always think of it as an electric circuit question because it’s positive (truth-teller) x negative (liar) or vice versa which always means the response is a “Not”.

An IRL friend who happens to be one of the best long/short pod shop folks in the world (no exaggeration — one of the people that gets offered those 9-figure guarantees you hear about) once described his craft as asking the right questions. Getting someone to tell you something you care about with a question that seems to have nothing to do with what it seems you asked about. Layered on top of the whole quant alpha-isolation architecture that these firms sit on, it’s always stuck with me as sounding so interesting. But it also makes me think of this riddle.


I’m gonna re-do the event for another group in town on the recommendation of one of the attendees. If that group skews more towards adults, I’ll bridge it into a discussion of markets and what it means for investing, which is what the unused notes were about. Like a comedian testing nerd shit instead of jokes I guess. Whatever lands can find its way back here. You notice a lot of blindspots in your understanding when you try to explain something to laypeople, making the the effort conveniently self-rewarding.

you need motivation to learn the value of pain

Friends,

I’ve been saving this one for the start of the school year. For those who start after Labor Day like it should be (my kids have been in school for nearly a month already).

I took my boys to Alpha School in Austin during Spring Break this year. School during Spring Break, dad?! Yea, I suck. Tough.

I also have a few friends with multiple kids each in the school. Friends who were quite opinionated about school in ways that resonate with me before they sent their kids to Alpha. They are quite happy with their kids’ experience and pushed me to come see it myself. I never got around to writing about my tour or Max’s shadow day but I was impressed.

I’m not going to write a review because it’s already dominated by today’s Munchies. Scott Alexander’s annual essay contest includes a finalist that is the first-hand account of a reader who moved to Austin just to send his kid to Alpha.

The essay is thorough. Read it:

Review: Alpha School

[author identity withheld as it’s Astral Codex essay finalist]

The message today isn’t one that Alpha owns but its methods flow directly from it.

A tiny bit of background first

The Core Claims: Alpha claims students “Learn 2.6X faster” with “Only two hours of academics per day” that’s “Powered by AI (not teachers)” but the reality is more nuanced than the marketing suggests.

What Alpha Actually Does:

  • Uses a personalized learning platform with third-party tools (iXL, Khan Academy-style content) rather than generative AI
  • Maintains a 5:1 teacher-to-student ratio with highly paid “guides” ($60k-$150k salaries)
  • The “2-hour learning” actually takes about 3.5 hours (8:30am-noon) with breaks
  • Emphasis on becoming “pointy” in at least one area
  • Heavy use of incentive systems

Many of the stories in the essay (ie the Poland trip or the dirtbike story in the comments) I heard about first-hand from my visit. The range of reactions to what Alpha is doing spans relief and exuberance to jaded skepticism to outright disgust or grievance. But if you scan the landscape of private schools, top public schools, magnet schools you will form some opinions about what is better or worse but it’s all a bit incremental between your finalists. Plus your finalists are still incremental over the worst school you’d realistically send your kid to.

Alpha does not look incremental. It might not be better for your kid, I don’t know, but it’s definitely very different.

For what it’s worth, both my kids would want to go (especially my younger one, who LOVED his day there) if we had one near us.

The Uncomfortable Truth About Learning

76% of Americans oppose paying kids to learn, Alpha has built its entire system around what the research shows to works. Drawing on Roland Fryer’s studies and Anders Ericsson’s work on deliberate practice, Alpha uses “GT bucks” (worth 10 cents each) to reward academic progress. Kids earn money for completing lessons with 80%+ accuracy, creating a gamified learning environment that turns the same iXL content that was “a fight every time” at home into something children beg to do more of at school. The author’s middle daughter completed two full grade levels in 20 weeks – powered not by innate love of learning, but by transparent incentives that most educators would recoil from.

Let me pause here for a moment to remind you that my guide The Principles Of Learning Fast distilled from The Math Academy Way is not a controversial reading of the learning literature, or to be more accurate, the literature on “skill development”. The same principles that we use for athletics work in academics. But all of this knowledge is heavily ignored for (waves hand) “reasons”.

If an educator is accustomed to norms that aren’t heavily rooted in skill development literature, that literature can be jarring. It doesn’t love you the way your teachers do. It loves outcomes.

If you’re building muscle, the stimulus to grow starts with discomfort. There are many techniques to get through discomfort. But none that serve your goals include avoiding it.

To think otherwise is to believe in lies.

When it comes to sports, nobody believes otherwise. No pain, no gain is the boring truth. My guess here is that we can be upfront about this because athletes are motivated by winning and “gains” are steps to winning.

Similarly, students are motivated by…by…err….well. Hmm. This is kinda tricky. I mean some kids are motivated by As because they equate that with “winning”. Maybe some see As as a stepping stone to a good college, which is a stepping stone to…umm, well, err again.

The motivation for As slams pretty hard into our tendency to hyperbolically discount and that Marshmallow test thing didn’t replicate, right?

Even then, we are setting the goal as an “A”. What’s an “A” a surrogate for? If it’s money, then it’s about as loose as the Dave & Buster ticket/prize exchange rate. Is it popularity or style or honor or hotness? Have you even been to high school? I suspect the “A” works on the “academic athlete”. A competitive person who can’t resist a gold star who can memorize stuff without too much effort. That’s who As work on.

Now actually learning, that’s all too often, another matter altogether.

  • being creative
  • having an ill-defined definition of what’s excellent but knowing it when you see it and not stopping until you are proud of what you did but also not needing it to be perfect. (I mean really — what percentage of A work actually looks like excellence. I remember shredding my 6th grader’s A+ essay last year because the work was trash and he knew it. He didn’t push back. Bruh, you’re better than this, don’t confuse their standards with good standards.)
  • drilling a concept that hurts your head until you’ve knocked the intimidation out of it with exposure and practice and pattern recognition. The wax-on, wax-off antecedents to authentic understanding

But if your not an “playing the sport of As”, how can anyone motivate you to do these hard things. We can’t say “no pain, no gain” because you don’t see the point of the pain.

When you are 12-years-old, nobody gives you a satisfying answer for why the pain is worth it.

Pause for a moment on that. It’s a big deal. Without a good reason to endure pain, the reality that pain is a prerequisite for growth is a highly inconvenient truth. Why bring it up? You have given a kid no justification for the pain, so you are forced into a sin of omission — to act as if it’s not true. You don’t need to say it’s not true, you just never really say that it is.

And just as water takes the path of least resistance lower, so does one’s perception of “what it takes” to succeed. They expect comfort or at least the absence of discomfort.

This is the result of not being able to justify the cost of growing. A failure to motivate via inspiration.

Why do we fail at this?

Because.

Because motivation and actually giving a hoot is scarce and mysterious. We’ve been wrestling with this since, heck when wrestling was invented. The Greeks spoke of “thymos”. Maybe you need to be touched by a god to care, I don’t know.

So I’m giving a giant hall pass to “education” and really society at large — this motivation thing, it’s ok if you don’t know where it comes from or how to inspire it.

But if you don’t have intrinsic motivation as a tool to teach people that growth requires discomfort, that doesn’t mean you let them believe you can grow without struggle. This lesson alone — that you shouldn’t expect to be good at anything without pushing — is more important than any fact you’ve ever learned in school.

So you need to motivate somehow if only to get someone to internalize this reality. To get them to actually push.

I’ve given you a glimpse into my beliefs because it explains why I agree with Alpha on the use of incentives. I turn now to the essay:

Self-actualization is where we want all our kids to reach (or at least “become a strong enough reader that they enjoy reading books and will do it for pleasure”). The question is how to get there. Ericsson has mapped out that path:

  • Start with adult-generated incentives
  • Surround the children with peers who will raise their status for being “learners”
  • Hope at some point they self-actualize

Clearly not every kid will get to stage three (and no one will get to stage three in every endeavor), but Ericsson’s point is that EVERYONE who gets to stage three starts at stage one. And we know how to motivate kids in stage one – or at least Roland Fryer does.

Combining Ericsson and Fryer we get the success equation:

Incentives → Motivation

Motivation → Time spent on deliberate practice

Time spent on deliberate practice → Mastery

Unfortunately we have an education system that doesn’t “follow the data” on how to best educate, and the general population hates the idea of incentives, so no one is pushing the education system to change in that dimension.

I am less interested in the philosophy of “what is right” and more interested in “what works”. If bribing kids gets them to learn more while they are kids that seems good. If it causes them long term motivation issues, that seems bad. My instinct is to try and quantify both effects and then understand what the trade-off is to make a decision on what we should do (and my ingoing hypothesis is that it likely depends on the kid, so you need a big enough “n” to distinguish different types of kids).

Fryer is the leading researcher in this field, at least in the short term impact of these programs. This paper has a nice summary of his studies where he finds that providing direct monetary incentives to kids works to drive behavior if that behavior is easy for the kid to understand and execute on. When he paid kids $2 for each book they read, they read a lot more books (+40%). When he paid kids to show up to class and not be late, tardiness dropped 22% versus the control group. But when he tried targeting the end goal and paying students more for higher test scores he saw no effect. Tell a kid to read a book or show up on time and they know what they need to do to get the money. Tell them to get higher scores on tests and, while they have a rough idea how to do that (pay more attention in class, study longer and more efficiently), the actual things they need to do are not entirely clear and the inputs they put in (studying) are not directly tied to the outputs (test scores) – and the incentives have no impact.

I’m back again.

When I was a kid, I wanted As because of the competitive gold star thing plus parental sticks (there were carrots of praise sure, but the stick loomed larger). I played the school game all the way through college. What’s the most efficient route to As? If I learn something in the process, fine, but that’s not the goal.

I regret my approach.

But this is a convoluted proof of Ericsson and Fryer!

Why?

Because regretting my approach reveals what I’ve become — someone who cares about learning, not gold stars. If you’re an adult reading this right now, how many times have you thought to yourself ‘College is wasted on the young’? You understand exactly what I mean. Regardless of how long it took you to get here, you’re here now.

I needed some external motivation. I needed some type of payoff to not feel scarcity breathing down my neck, discouraging the indulgence of knowledge for its own sake. As its own reward. As a means to discovery about the world and myself. As a pattern that connects beauty to chaos or design to function. Or the gift of receiving new 10 questions for each old one answered.

Would it have been better to have curiosity and motivation paired when I was 12? Of course. But if bootstrapping motivation via external rewards can work over the course of 25 years, AND if rewards can be tightly coupled to milestones such that we move faster at a young age (and provably so), then this is a good trade.

Especially since the status quo is not being motivated, building competence too slowly, finding no point in discomfort. And all of this while staying obliviously vain, celebrated for being yet unaccountable and even less aware. Playing video games in the waiting room until the nurse announces, “Dr. Disappointment will see you now.”

Screw that. Get uncomfortable, get some candy. Welcome to life. Self-actualize later.

[If there is a more enlightened path, we’d do that, but since there isn’t, take one that leads to actual results and hope the results become addicting on their own merit. Nobody is going to suffer for growth in the name of pure scholarship. Acting like they should is preaching abstinence in a dark room when slow jams are playing. Good luck.]

Back to the essay:

The future elite soloists of the music world all hated practicing.

And so did everyone else.

All of the musicians at the school did not like the process of practicing. They enjoyed playing. They enjoyed being good musicians. They just hated the process of practicing to get good.

So why did they do it?

Because they wanted to be great musicians and they knew that they needed to practice to become great musicians.

According to Ericsson, the key to being great is deliberate practice. The key to deliberate practice is motivation.

Ericsson dug further to figure out where the motivation came from and he found it grew over three stages:

  1. Parental and authority approval: Initially kids practice because they are given praise and attention from their parents when they do so, and are reprimanded when they don’t. He gives examples of mom saying “if you don’t practice an hour per day on piano I am going to stop paying for your music instructor”.
  2. Peer approval: At some point the young musicians begin to care less about what their parents think, and more about their relative status among their peers. Part of this is that they can perform music for their classmates, which is very impressive, but a bigger motivation is that their skills are recognized by other young musicians – their true peers.
  3. Self Actualization: Eventually the best musicians stop caring about their peers and start internalizing the desire to be great. They see themselves as musicians, and they do the hard, uncomfortable work of practicing because “that is what a great musician does”.

You get the point. A toddler learns to walk because the point of walking is natural and intrinsically attractive. Most tasks in the painful “zone of proximal development” are not as motivating as walking. Grease the rails.


Related:

🎙️Alpha School Founder, software billionaire and school principal, Joe Leimandt tells the Alpha story on Invest Like The Best just last week (Spotify)

✍🏽Zvi Mowshowitz’ post Childhood and Education #11: The Art of Learning

Article content

It opens:

In honor of the latest (always deeply, deeply unpopular) attempts to destroy tracking and gifted and talented programs, and other attempts to get children to actually learn things, I thought it a good time to compile a number of related items.

  • Finally, if you’d like to learn more about Alpha directly they hold weekly info sessions online (link)

poker without the poker

An on-ramp to games of incomplete info for children

 

Matt Levine on teaching his 4-year old poker:

How to Teach Your Kids Poker, the Easy Way (non-paywalled version)

The wrong way [to teach poker] typically begins with the order of hands. The winner of a poker hand is the player with the best hand, so you have to know which hands are better than others. A straight flush beats four of a kind, a flush beats a straight, three of a kind beats two pair, etc. For a child, this is a lot to memorize, though also an exciting assortment of trivia to know and argue about.

But this isn’t what poker is about. Poker is a game of incomplete information — you rarely know if you have the best hand — and, more important, a game of betting. The essential action of poker is betting, or folding if the betting gets too rich for you. The winner is the player with the best hand who’s still in at the end of the hand, and you get to the end of the hand only if you call all the bets along the way. If you have the best hand and fold, you lose. And if you have the worst hand and make everybody else fold — by bluffing, by betting and acting like you have a good hand — then you win.

That dynamic is more central to poker, and more fun to learn, than the order of hands. And you can get to it immediately, if you begin teaching poker the right way.

The right way to begin is with one-card poker…

You’ll probably win with a king, but if someone raises you, does that mean that they have an ace (and have you beat), or a queen (and are overconfident), or a six (and are bluffing)? There are 52 cards, so you can estimate the probabilities if you are mathematically inclined, though if you are four you probably won’t.

You probably won’t win with a six, but if you bet it confidently you might bluff everyone else out. If everyone else checks, and you’re the last person to bet, you might as well bet: You have “position,” everyone else has a weak hand, and you might be able to steal a pot. The essentials are there.

More on this topic:

  • A cool version of a “liar’s” game which hits the same notes as poker but with less complexity:

…and weird timing but this is an invitation I got out-of-the-blue in the neighborhood dad chat:

I’m hosting a poker night, but with dice games instead of poker. Liar’s Dice and Left, Center, Right.

If you recall from A couple game recs from Xmas 2024, I recommeded LCR:

Left Center Right (1 min video)

This game is pure degeneracy and takes less than a minute to learn. Asian grandmas and 5-year-olds alike will lose their minds over it. Huge party hit this holidays. It’s actually an old game, but new to me. It has zero skill so when I heard how it works I immediately poo poo’d it but playing it in a group of 15 for a little cash is amazing.

If you want to make it skillful just create an open outcry side-market on who the winner is. Let’s say “Ann” is playing…Ann futures settle to 0 or 100 depending on if Ann wins so you can bid, offer, or trade any integer price between 0 and 100 based on your assessed probability of Ann winning. It’s a faithful simulation of mock trading (and really similar to the StockSlam game I was playing a couple years ago).

cheating is just a canary

The common theme in today’s links is gonna be pretty obvious.

math team and other horrible things you to do get into Stanford (6 min read)
Benedict

This essay is about what it feels like to jump through hoops for an overbid goal. It’s not about the worthiness of the goal itself which is what a lot of debate around competitive schools tends to focus. In fact, the author despite a dreary, soul-sucking description of achiever life readily admits:

Was it worth it? It’s hard to say it wasn’t. My best friends are still the ones I met in high school and college. I met my wife in my first year at Stanford. The Stanford name gets me in front of venture capitalists and hiring managers, just like Oatnook’s name got me in front of the admissions committee before that. I’m now 15 years into a tech career that I’d never even known was possible as a kid, a career that has been comfortable and lucrative in equal parts.

The essay is worth reading for several reasons.

1) It transports you into the mind of a person whose experience you may recognize in your own lives or the adolescents in your lives.

2) The distinction between a “mathlete” and a mathematician is a metaphor for the perversion we see everywhere — substituting a fake measure as a proxy for the thing we actually want to find.

3) Because the essay is the appetizer to today’s meal…but like a fancy waiter allow me some words first:

Some sleight of hand. When I say “substituting a fake measure as a proxy for what we really want to find” I’m getting you to accept an assumption. My assumption is we care about people matching to a life of thriving. But I’m not sure this assumption figures into society’s definition. Like the comfortable and lucrative in equal parts yuppie success story means thriving.

Ehh. There’s more to this.

“Success” may be a prerequisite for thriving but it’s not evidence of it. If success is sprouting from a soil of pyrrhic compromises, the plant’s not thriving. The fake hoop-jumping is an artificial light ensuring the seeds take to the environment but zap the natural tilts towards the sun.

The mathlete vs mathematician distinction says more about the ability to take pain to gain the approval of a gatekeeper who is not fundamentally interested in you but in the self-perpetuation of a system. Not because the gatekeeper loves the system, they’re probably most cynical of all by now if they have any self-awareness, but because inertia is a physical law. It takes energy to change course. Expending energy is risky.

It’s a 2 sided market. Both the judge and the applicant embrace conformity to reduce risk. When the rules of getting ahead are written down, and you get ahead, what have you demonstrated? Certainly grit. Tip o’ the hat, no shade. But picking a crowded selection from a menu is a “nobody got fired buying IBM” choice. When you eventually get fired, this could be literal but I mean it figuratively as the moment when you face a crisis of self, will you realize you traded your courage for certainty? Will you be able to get it back?

Another way?

Is there a way to replicate the desired outcome without chasing? Sure. You can lead. It’s not easy. The replication will be more expensive in terms of effort — but lower in terms of perceived effort because you’re alive.

It’s hard to trek where there are no tracks or where they are hard to see. It requires creativity, the knowledge that nobody cares or even notices when you have a bad hair day, and the meta-awareness that previously rewarding paths that are now overbid have a far worse risk/reward.

I’ve talked about this so many times. When I went into options trading it was a relative backwater. I was lucky it was on the cusp of becoming a booming business. The path was not overbid 25 years ago. It was highly competitive, sure, but nothing like it is now. Today, firms know to hire more than they need and then run them off against each other. Between this and the internships, they are smart. They know job interviews don’t tell you enough. They want a longer look at you.

I was taking Max to the ortho last Thursday and I saw what turned out to be a HS sophomore in a Jane Street t-shirt. I stopped him to chat. Asian kid. Math team. Seemed super mature, curious, and eager. We’ll stay in touch. You can’t see a kid like that and not want them to thrive. I want the mill to be kind to him. Not to be soft on him. But to genuinely energize him. Inspiration is the world being kind to you. Creating space to let it in is how you encourage and honor her kindness.

It’s tragic if the game theory of the system demands all your space.

If the cost of reducing risk is directing all your lifeforce and motivation to satisfy an endurance test, what are we even doing here? For whom is this endurance needed exactly? If I need it for me, and I do, then how much effort should I expend proving it meets someone else’s criteria. Or am I proving my endurance to someone else because I’ve substituted someone else’s pursuit for my own?

Like I said, all the above is appetizer.

Today’s main course is an assault by Zvi Mowshowitz (ironically he spent some time at Jane Street).

Cheaters Gonna Cheat Cheat Cheat Cheat Cheat (23 min read)

It’s a long post that reads briskly. I’ll excerpt just the opening and then the ending only because otherwise I’m going to excerpt all of it. It starts with a discussion about rampant cheating. It’s not an indictment. In fact, to read it on the level of morality is to miss why this essay is so important.

Because this essay is about everything.

You’ll understand why I opened with the math team post.

When you get to the “Whispering Earring”, a thought you’ve probably all considered, you’ll appreciate why this is about everything.

A lot of the stories we tell ourselves about motivation and meaning are going to look quite brittle in the coming years. There’s a silent river running underneath everyone’s house but the floorboards are starting to warp and it smells like mold.

The whole topic of cheating is just a canary.

Opening

Cheaters. Kids these days, everyone says, are all a bunch of blatant cheaters via AI.

Then again, look at the game we are forcing them to play, and how we grade it.

If you earn your degree largely via AI, that changes two distinct things.

  1. You might learn different things.
  2. You might signal different things.

Both learning and signaling are under threat if there is too much blatant cheating.

There is too much cheating going on, too blatantly.

Why is that happening? Because the students are choosing to do it.

Ultimately, this is a preview of what will happen everywhere else as well. It is not a coincidence that AI starts its replacement of work in the places where the work is the most repetitive, useless and fake, but its ubiquitousness will not stay confined there. These are problems and also opportunities we will face everywhere.

From the Closing

…our future may depend on the answer, what is your better plan?

The actual problem we face is far trickier than that. Both in education, and in general.

Extra

😂Matt Levine’s section on Student Finance Clubs is perfectly timed.