Category: Education

Stories Beyond Demographics

The representation theory of stories, where the protagonist must mirror my gender, race, or sexuality for me to find myself in the story, offers a cramped view of what fiction can do and a shallow account of how it actually works. Stories succeed not through mirroring but by revealing human patterns that cut across identity. Archetypes like Hero, Caregiver, Explorer, and Artist, and structures like Tragedy, Romance, and Quest are available to everyone. That is why a Japanese salaryman can love Star Wars despite never having been to space or met a Wookie and why an American teenager can recognize herself in a nineteenth-century Russian novel.

Tom Bogle makes this point well in a post on Facebook:

I have no issue with people wanting representation of historically marginalized people in stories. I understand that people want to “see themselves” in the story.

But it is more important to see the stories in ourselves than to see ourselves in the stories.

When we focus on the representation model, we recreate a character to be an outward representation of physical traits. Then the internal character traits of that individual become associated with the outward physical appearance of the character and we pigeonhole ourselves into thinking that we are supposed to relate only to the character that looks like us. Movies and TV shows have adopted the Homer Simpson model of the aloof, detached, and even imbecilic father, and I, as a middle-aged cis het white guy with seven kids could easily fall into the trap of thinking that is the only character to whom I can relate. It also forces us to change the stories and their underlying imagery in order to fit our own narrative preferences, which sort of undermines the purpose for retelling an old story in the first place.

The archetypal model, however, shifts our way of thinking. Instead of needing to adapt the story of Little Red-Cap (Red Riding Hood) to my own social and cultural norms so that I can see myself in the story, I am tasked with seeing the story play out in myself. How am I Riding Hood? How am I the Wolf? How does the grandmother figure appear in me from time to time? Who has been the Woodsman in my life? How have I been the Woodsman to myself or others? Even the themes of the story must be applied to my patterns of behavior or belief systems, not simply the characters. This model also enables us to retain the integrity of the versions of these stories that have withstood the test of time.

So if your goal is actually to affect real social change through stories, I would encourage you to consider how the archetypal approach may actually be more effective at accomplishing your aims than the representational approach alone (as they are not necessarily in conflict with one another).

Luis Garicano career advice

Take the messy job:

The other option is to go for a messy job, where the output is the product of many different tasks, many of which affect each other.

The head of engineering at a manufacturing plant I know well must decide who to hire, which machines to buy, how to lay them down in the plant, negotiate with the workers and the higher ups the solutions proposed, and mobilise the resources to implement them. That task is extraordinarily hard to automate. Artificial intelligence commoditizes codified knowledge: textbooks, proofs, syntax. But it does not interface in a meaningful way with local knowledge, where a much larger share of the value of messy jobs is created. Even if artificial intelligence excelled at most of the single tasks that make up her job, it could not walk the factory floor to cajole a manager to redesign a production process.

A management consultant whose job consists entirely of producing slide decks is exposed. A consultant who spends half of her time reading the room, building client relationships, and navigating organizational politics has a bundle AI cannot replicate.

Here is the full letter.

What should I ask Henry Oliver?

Yes, I will be doing a Conversation with him.  We will focus on our mutual readings of Shakespearer’s Measure for Measure, with Henry taking the lead.  But I also will ask him about the value of literature, Jane Austen, Adam Smith, Bleak House, his book on late bloomers, and more.

Here is Henry’s (free) Substack.  Here is Henry on Twitter.

So what should I ask him?

A model of girl happiness, a compensatory-use study

A statistical model was used to examine these relationships simultaneously by predicting the likelihood that a girl reports being very happy.

The model includes socioeconomic status, parent–child communication, screen-time limits, and an interaction between limits and communication.

The results reinforce the patterns in the figures. Parent–child communication dominates the model. Girls who report strong communication are about three to four times more likely to report being very happy than those who report none. Socioeconomic status shows a smaller independent association. Screen-time limits contribute little on their own and matter modestly only when strong communication is already present.

If phones were the central problem, limits would emerge as a robust solution across contexts. They do not…

What the compensatory-use model rejects is a stronger claim. It rejects the idea that smartphone exposure itself is the primary driver of youth distress and that prohibition is therefore the central remedy. If that causal story were correct, limits would show large and consistent benefits across households, including among those with the weakest communication and highest distress. They do not.

And to close:

The most reliable way to improve youth well-being is to meet individual needs through connection instead of control.

That work depends on cooperation, not compliance.

Here is the full essay by Owen Kellogg, of course this is only a single study.

Will AI Improve Undergraduate Economics Education?

From the excellent Matt Kahn:

For decades, undergraduate economics educators have followed a well-worn playbook featuring textbooks, lectures and problem sets. Students have passively listened, taken notes and studied for exams. AI disrupts this educational process. Some students are using this tool as a substitute for their own precious time. What is our best response? This paper provides a prospective analysis of how to restructure every phase of the undergraduate economics experience to improve the major and better prepare students for their uncertain future. Departments face a principal/agent issue in implementing major  curricular reforms. I discuss the incentive problems that arise both within economics departments and across departments. If we win this competition to reimagine the undergraduate experience, will the Deans reward us?

TC again: No.

Emergent Ventures India, 15th cohort

Adnan Abbasi, 25, founder of Thothica, received his grant to add an archive reader to make rare historical texts accessible using AI-powered translation. Also check out his AI generated debate between Nehru and Hayek.

Dheemanth Reddy, co-founder of Maya Research, received his grant to build Veena – cutting-edge speech models for English and Indian languages as naturally spoken by Indians.

Ritisha Sethi, 16, a high schooler from Lucknow, received her grant to develop Qubit Quest, her solution to help learn quantum computing through gamification.

Jnanendra K S received his grant to convert vintage cars to EVs in his automotive mechanic shop.

Sankalp Shrivastava, 21, self-taught developer and entrepreneur from Bhopal, received his grant for general career development.

Bharath H G received his grant to build a robotic system safely cleaning manholes remotely.

Sarthak Pandit, an engineering student, received his grant for building a wireless drone recharging system to eliminate manual battery swaps.

Namrata Rajagopal received her grant for Exception Raised – a grants program to enable India’s AI research ecosystem through funding, community, and mentorship. Check out their first cohort.

CEDA (Center for Economic Data and Analysis) at Ashoka University, received a grant to build the Economic Enterprises Tool, to integrate datasets delivering harmonized indicators across India’s enterprises.

Saransh Duharia received his grant for Garudakshak, to build a smart drone detection and neutralization system for civil use.

Aditya Gupta, 21, received his grant to develop a breath diagnostics tool screening for complex gut disorders non-invasively.

Farraz Mir received his grant for a bioinformatics automation project saving researchers time and lowering barriers to entry.

Yasmin Qureshi, 20, received her grant for travel and career development.

Jainul Abedin received his grant to scale Abyom SpaceTech, and develop India’s first reusable rocket and commercial rocket engine testing facility.

Kunjpreet Arora, 27, received his grant for Angirus, to transform plastic and industrial waste into waterproof, low-carbon bricks.

Vrinda Borkar, 30, received her grant for Wingrow Agritech, to develop agricultural markets for small farmers.

Those unfamiliar with Emergent Ventures can learn more here and here. The EV India announcement is here. More about the winners of EV India secondthirdfourthfifthsixthseventheighthninthtenth, eleventh, twelfth, thirteenth, and fourteenth cohorts. To apply for EV India, use the EV application, click the “Apply Now” button and select India from the “My Project Will Affect” drop-down menu.

And here is Nabeel’s AI engine for other EV winners. Here are the other EV cohorts.

If you are interested in supporting the India tranche of Emergent Ventures, please write to me or to Shruti at [email protected].

Marginal Returns to Public Universities

From Jack Mountjoy, forthcoming in the QJE:

This paper studies the returns to enrolling in American public universities by comparing the long-term outcomes of barely admitted versus barely rejected applicants. I use administrative admission records spanning all 35 public universities in Texas, which collectively enroll 10 percent of all American public university students, to systematically identify and employ decentralized cutoffs in SAT/ACT scores that generate discontinuities in admission and enrollment. The typical marginally admitted student gains an additional year of education in the four-year sector, becomes 12 percentage points more likely to ever earn a bachelor’s degree, and eventually earns 8 percent more than their marginally rejected but otherwise identical counterpart. Marginally admitted students pay no additional tuition costs thanks to offsetting grant aid; cost-benefit calculations show internal rates of return of 26 percent for the marginal students themselves, 16 percent for society (which must pay for the additional education), and 7 percent for the government budget. Earnings gains are similar across admitting institutions of varying selectivity, but smaller for students from low-income families, who spend more time enrolled but complete fewer degrees and major in less lucrative fields. Finally, I develop a method to separately identify effects for students on the extensive margin of attending any university versus those on the margin of attending a more selective one, revealing larger effects on the extensive margin.

That is one simple way of seeing why I do not think of higher education as largely signaling, noting that signaling theories might give you a higher wage up front but not over extended periods of time, as worker quality becomes known.

Which published results can you trust?

That is the theme of my latest Free Press column, starting with the recent Oliver Sacks debacle.  Here is one excerpt:

…as my George Mason University colleague Bryan Caplan suggests, trust literatures, not individual research studies. By a “literature,” I mean the collective work conducted by many researchers, acting in decentralized fashion, to publish and circulate the results that will best persuade other researchers.

Second, treat research articles, or their popular media coverage, as possibilities to put in your mental toolbox rather than settled truths.

Literatures are more trustworthy than individual articles because they reflect a collective effort to establish reliable results. A supposed correlation gets refereed and scrutinized dozens of times, or maybe hundreds of times. If you have a new hypothesis, other researchers have a chance to make their names by knocking it down. There are also more eyes watching, in case real-world experience delivers results at odds with what a particular theory had been postulating. Or maybe there was a simple mistake in writing the computer code behind the paper’s result. Literatures contain a variety of different ways to come to a particular conclusion, and you can see whether they end up pointing in the same general direction.

You may not have time or the background to master a complete literature on a research topic, but these days you can send well-written prompts to GPT 5.2 Pro, Claude Opus 4.5, or Gemini 3.0 for some very good summaries of any literature you want. Furthermore, you can cross-check across these different AI models for additional reliability.

This is useful advice which is rarely heeded, and learning how to interpret a research literature is one of the most important skills in intellectual life.

How to rise to the very top?

From athletes like Simone Biles and Michael Phelps to scientists like Marie Curie and Albert Einstein, identifying exceptional talent is essential in the science of innovation. But how does talent originate? Did the most talented athletes, scientists, and musicians reach peak performance relatively early or late in their career? Did they forgo mastering multiple sports, academic subjects, and musical instruments to reach world-class performance in only one? In an Analytical Review, Güllich et al. looked at published research in science, music, chess, and sports and found two patterns: Exceptional young performers reached their peak quickly but narrowly mastered only one interest (e.g., one sport). By contrast, exceptional adults reached peak performance gradually with broader, multidisciplinary practice. However, elite programs are designed to nurture younger talent.

That is from a new article in Science by Arne GüllichMichael BarthDavid Z. Hambrick, and Brooke N. Macnamara.  Via Atta Tarki.  But are they conditioning on a collider?  Short players seem to do pretty well in today’s NBA…

Economics job market update

From John A. List:

AEA job market update. The numbers don’t lie, as this is the toughest market for PhD economists in recent memory.

JOE listings are down 20% from last year. Worse: they are 19% below COVID levels. Let that sink in.

The academic market took the biggest hit. Full-time US positions dropped 33% year-over-year. Liberal arts colleges and PhD-granting universities? Both down about a third. International academic postings fell 13% from last year, 25% from COVID.

Nonacademic isn’t much better: down 27% from last year, 45% below COVID. And federal government hiring? That’s where it gets ugly. Down 71% year-over-year, 79% below COVID. DOGE cuts plus the shutdown created a perfect storm.

One bright spot: private sector jobs in consulting, research, banking, and finance are holding steady at recent-year levels.

Bottom line for candidates: the data confirm what you’re feeling. It’s brutal out there. Universities facing their own financial pressures should still find ways to bridge unmatched candidates for another year. The talent is there—the opportunities aren’t. H/T John Cawley

Here is the link to the tweet.

My Conversation with Alison Gopnik

Here is the audio, video, and transcript.  Here is part of the episode summary:

Tyler and Alison cover how children systematically experiment on the world and what study she’d run with $100 million, why babies are more conscious than adults and what consciousness even means, episodic memory and aphantasia, whether Freud got anything right about childhood and what’s held up best from Piaget, how we should teach young children versus school-age kids, how AI should change K-12 education and Gopnik’s case that it’s a cultural technology rather than intelligence, whether the enterprise of twin studies makes sense and why she sees nature versus nurture as the wrong framework entirely, autism and ADHD as diagnostic categories, whether the success of her siblings belies her skepticism about genetic inheritance, her new project on the economics and philosophy of caregiving, and more.

Excerpt:

COWEN: If it’s something like height, where there is clearly an environmental component, especially if the child is not well-fed, but it seems perfectly fine to say above a certain dietary level, it’s mostly genetic, right? No one says that’s ambiguous, and more and more traits will become like that.

GOPNIK: Well, first of all, I’m not sure that’s true. To a striking degree, the traits that people have looked at, like educational attainment, for example — we haven’t found consistent relationships to genetics. I think the reason for that is exactly because there’s this very complicated developmental process that goes from the genetics to the outcome.

Even if you think about fruit flies, for example. I have some geneticist colleagues who work on this — fruit fly sex determination. You’d think, “Well, that has to be just the result of genes.” It turns out that there’s this long developmental — long by fruit fly standards — developmental process that goes from the genetics to the proteins to the morphology, and there’s lots of possibility of variation throughout that. I think that hasn’t turned out to be a scientifically helpful way of understanding what’s going on in development.

The other thing, of course, is, from my perspective, the common features of, say, what kids are doing are much more interesting than the variations. What I really want to know is how is it that anyone could have a brain that enables them to accomplish these amazing capacities? Thinking about, is this child smarter than the other one, given how unbelievably smart all of them are to begin with, I just think it’s not an interesting question.

COWEN: But say, what you would call the lay belief that smarter parents give birth to smarter children, at least above subsistence — surely you would accept that, right?

GOPNIK: Again, what does smarter mean?

COWEN: How you would do on an IQ test.

GOPNIK: What does genetics mean? It’s interesting, Tyler, that IQ tests, for example — they have their own scholarly and scientific universe, but they’re not something that we would teach about or think about in a developmental psychology class, and there’s a good principled reason for that. The good principled reason — this has come up a lot in AI recently. There’s this idea in AI of artificial general intelligence, and that is assuming that there’s something called general intelligence.

Again, I think, a lot like consciousness or life, it’s one of these lay ideas about how people work. When you actually look at children, for example, what you see is not just that there isn’t a single thing that’s general intelligence. You actually see different cognitive capacities that are in tension with one another. You mentioned one about the scientist who’s trying to think of some new idea versus the scientist who’s looking at a more specific idea, right? A classic example of this tension that I’ve talked about and studied is in computer sciences: exploration versus exploitation.

What do you count as IQ? In fact, most of what IQ is about is how well do you do in school? How well do you do on school tests? That’s actually, in many respects, in tension with how good are you at exploring the world around you? The kinds of things that you need to do to have particular goals, to accomplish them, the kinds of things that we emphasize a lot, say, in a school context, are actually in tension. This gets back to the point about babies being more conscious than we are — are actually in tension with the kinds of things that will let you explore.

Think about the Bayesian example. If you have a flatter prior, and you pay more attention to evidence, you are probably not going to do as well on an IQ test…

COWEN: There’s you — you’re tenured at Berkeley, you’re famous. There’s Blake, The Definitive Warhol Biography, and Adam, who’s amazing, writes for the New Yorker, and you don’t believe inheritability and IQ being very concrete things? I just don’t get it. I think you’re in denial.

GOPNIK: Actually, I think that example is maybe partly why I don’t believe in that. In fact, what I do believe is that the effect of caregiving is to increase variability, is to increase variation. Our family, our care — there were six of us in 11 years. My parents were graduate students, and even before they were graduate students, they were that great generation of immigrant kids.

We had this combination of a great deal of warmth, a great deal of love, an enormous amount of stuff that was around us — books and ideas. We got taken to the Guggenheim, when Adam was three and I was four, for the opening of the Guggenheim. We both remember this vividly. But we were also completely free. We were just in regular public schools. As was true in those days, in general, we came home after school, and we basically did whatever it was that we wanted. I was involved. The kids were taking care of each other a lot of the time.

The result is that you get a lot of variation. It’s an interesting example in our family where we have six kids who presumably all have somewhat similar genetics, all in that 11 years grow up in the same context, and they come out completely differently. They come out with really different strengths, really different weaknesses, things that they’re good at, things that they’re not good at. Even if you think about what Blake and Adam and I are like as thinkers, we’re all foxes instead of hedgehogs. We’re all people who have done lots of different things and thought about lots of different things.

So, my view is that what nurture will do is let you have variability. That’s the thing that, in a sense, is heritable. That’s contradictory, the idea that what’s heritable is the standard deviation instead of the mean, but that’s my view about that. I think my childhood did have the effect of making me suspicious of those simple nature-nurture oppositions.

Here are the books of Alison Gopnik.

California facts of the day

At Berkeley, as recently as 2015, white male hires were 52.7 percent of new tenure-track faculty; in 2023, they were 21.5 percent. UC Irvine has hired 64 tenure-track assistant professors in the humanities and social sciences since 2020. Just three (4.7 percent) are white men. Of the 59 Assistant Professors in Arts, Humanities and Social Science appointed at UC Santa Cruz between 2020-2024, only two were white men (3 percent).

Here is the essay by Jacob Savage that everyone is talking about.

How harmful is the decline in long-form reading?

That is the theme of my latest Free Press column, here is one excerpt:

Oral culture, in contrast, tends to be more fluid, harder to evaluate and verify, more prone to rumor, and it has fewer gatekeepers. Those features have their advantages, as a good stand-up comedian will get louder laughs than a witty author. Or an explanation from YouTube, with moving visuals, may stick in our minds more than a turgid passage from a textbook. We also just love talking, and listening, as those modes of communication reach back into human history much further than reading and writing do. Speech is part of how we bond with each other. Still, if any gross generalization can be made, it is that oral culture makes objectivity and analytic thought harder to establish and maintain.

Given this background, both the good and the bad news is that the dominance of print culture has been in decline for a long time. Radio and cinema both became major communications media in the 1920s, and television spread in the 1950s. Those major technological advances have commanded the regular attention of billions, and still do so. Earlier in the 20th century, it suddenly became a question whether you take your ideas from a book or from the radio. And this was not always a welcome development, as Hitler’s radio speeches persuaded more Germans than did his poorly constructed, unreadable Mein Kampf.

The fact that books, newspapers, and reading still are so important reflects just how powerful print has been. How many other institutions can be in relative decline for over a hundred years, and still have such a hold over our hearts and minds?

The optimistic interpretation of our situation is that reading longer works has been in decline for a long time, and overall our civilization has managed the transition fairly well. Across history we have had various balances of written and oral cultures, and if some further rebalancing is required in the direction of the oral, we should be able to make that work, just as we have done in the past. The rise of television, whatever you may think of it, did not do us in.

A second and more pessimistic diagnosis is that print and reading culture has been hanging by a thread, and current and pending technological advances are about to give that thread its final cut. The intellectual and cultural apocalypse is near. Even if your family thinks of itself as well-educated, your kids will grow up unable to work their way through a classic novel. They will watch the Lord of the Rings movies, but never pick up the books. As a result, they are likely to have less scientific and analytic objectivity, and they will embody some of the worst and most volatile aspects of TikTok culture. They will, however, be able to sample large numbers of small bits of information, or sometimes misinformation, in a short period of time.

There is much more at the link.