…the business world has been increasingly aware of the genre’s potential. In 2017, PricewaterhouseCoopers, the professional services firm that advises 440 of the Fortune 500 companies, published a blueprint for using science fiction to explore business innovation. The same year, the Harvard Business Review argued that “business leaders need to read more science fiction” in order to stay ahead of the curve…
A number of companies, along with a loose constellation of designers, marketers, and consultants, have formed to expedite the messy creative visualization process that used to take decades. For a fee, they’ll prototype a possible future for a [corporate] client, replete with characters who live in it, at as deep a level as a company can afford. They aim to do what science fiction has always done — build rich speculative worlds, describe that world’s bounty and perils, and, finally, envision how that future might fall to pieces.
Alternatively referred to as sci-fi prototyping, futurecasting, or worldbuilding, the goal of these companies is generally the same: help clients create forward-looking fiction to generate ideas and IP for progress or profit. Each of the biggest practitioners believe they have their own formulas for helping clients negotiate the future. And corporations like Ford, Nike, Intel, and Hershey’s, it turns out, are willing to pay hefty sums for their own in-house Minority Reports.
That is from Brian Merchant on Medium.
This is a concordance of responses she received on Twitter, I am not sure she endorses all of these ideas, the rest is her I won’t double indent:
Interpersonal and Mindfulness
- Wake up early.
- Spend time in prayer and/or meditation first thing in the morning. Or, if you can’t fit it in then, find time later in the day. I love using Headspace. If you’re Catholic, pray the Rosary daily.
- Practice gratitude, and be specific when thanking someone.
- Keep a personal calendar.
- Write something, anything, everyday.
- Study a foreign language for 5, 15, or 25 minutes a day. Here’s a list of 10 great options.
- Eat meals with people you love.
- Keep in touch with close friends.
- Read to your children, and take pictures of them frequently.
- Read for at least 15 minutes daily.
- Read or watch something new daily. Ideally something you’re curious about.
- Ask questions often.
- Don’t slouch.
- Learn to dance.
- Call your parents and grandparents.
- Go on lots of first dates. Law of large numbers.
- Introduce yourself to new people.
- Before dinner, write down tomorrow’s priority list.
- Restrict your tv time. Or substitute tv time for your most potent distraction. For me that’s Twitter. Here are some practical ways to reduce screen time.
- For young people, ask people you admire in your area for coffee once, twice, or a few times a month. Email is another option. The likelihood of a positive response in both scenarios is probably higher than you expect.
- Negotiate your salary.
- Practice making money online. For a fun place to start, try PredictIt.
- Contribute early and often to your IRA/401(k).
- Invest as you’re able to. (Would welcome reading suggestions in the comments).
- Save a predetermined percentage from each paycheck.
- Pay off your credit cards monthly.
- Sleep 8 hours or more each night. Limiting your blue light exposure after sunset can also improve your sleep quality.
- Try not to use your cell phone in bed. You can also go even further, and put away your phone 30 minutes, an hour, or even two hours before bedtime.
- Increase your water consumption, and whenever possible, drink it to the exclusion of everything else.
- Reduce your sugar, carb, and processed food intake.
- One way you can do this is by bringing your lunch from home to work rather than ordering take out. Added bonus: saving money.
- When you do eat out, choose the healthier options.
- When grocery shopping, check the ingredients of what you’re buying. Try to avoid processed foods with numerous and complicated ingredients.
- Take the stairs if and when you can. If you live in a fairly walkable area, walk everywhere within a mile.
- Don’t overeat — stop just before you’re full.
- If you can, try intermittent fasting at least once a week.
- Exercise daily. Try exercises that you enjoy, otherwise it’s unlikely that you’ll stick with them.
- Incorporate resistance weight-training into your routine.
TC again: Here is the full Medium essay.
Here is the audio and transcript, Paul was in top form and open throughout. Yes economic growth, blah blah blah, but we covered many related topics too:
COWEN: And you also think we should simplify the English language. Right?
ROMER: [laughs] Well, there’s two parts to that. One is, in writing and communication, there should be a very high priority on clarity. It’s hard to know what’s the mechanism that enforces that. There are variants on English, like the English used to write the manuals people use to service airplanes, where there’s a very restricted vocabulary. The words are chosen so that you can’t have any ambiguity because you don’t want somebody servicing a plane to get confused. So there are some things you could do on writing, word choice, vocabulary, exposition.
There’s a separate issue, which is that amongst the modern languages, English has the worst orthography, the worst mapping between spelling and sounds of any of the existing languages. And it’s a tragedy because English is becoming the universal second language.
The incidence of people who don’t learn to read is substantially higher in English than in other languages. People have known for a long time, it takes longer to learn to read in English because of the bad orthography. But what hasn’t gotten enough attention is that there’s an effect on the variance as well. There are more people who never get over this hurdle to actually learning to read.
If there were a way to do in English what they’ve done in other languages, which is to clean up the orthography, that could make a huge difference in the variation associated with whether or not people can learn to read English.
COWEN: Can a charter city work if we import good laws from the outside world but not the appropriate matching culture?
ROMER: You’ve zeroed right in on the connection. The real motivation that I had for charter cities was exactly this one that you can see in the US versus New Zealand. You can think of a charter city exercise . . .
This is actually the story of Maryland: We’re going to create laws, and we’re going to guarantee freedom of religion in Maryland, and it’s in the laws; it’s in the institution somehow. That didn’t turn out very well. Maryland had a Catholic elite but then large numbers of Protestant indentured servants or workers. And this kind of commitment to freedom of religion was not stable in Maryland at all.
The case that’s worth trying to copy is Pennsylvania, where William Penn recruited large numbers of people who actually believed in freedom of religion. The word charter comes from the charter that Penn wrote for Pennsylvania, but it wasn’t the document that mattered. What mattered was that there were a bunch of people in the founding population who were committed to this idea of a separation of church and state and religious freedom. And that’s what made it durable in Pennsylvania in a way it wasn’t in Maryland.
ROMER: …Moses was of this generation that was too enamored of the car, and this is where I think Jacobs had a better intuition. But the challenge, the dichotomy I would pose would be Jane Jacobs versus Gouverneur Morris.
Morris was the guy who drew the grid that laid out the rectangular street map for Manhattan.
We also discussed music, including Hot Tuna, Clarence White, and Paul’s favorite novel, dyslexia, what Paul has learned about management, and much more. Self-recommending, if there ever was such a thing.
I have thought about this question for at least twenty years, Elisa Gabbert spells it out (NYT):
My favorite spot in my local library — the central branch in Denver — is not the nook for new releases; not the holds room, where one or two titles are usually waiting for me; not the little used-book shop, full of cheap classics for sale; and not the fiction stacks on the second floor, though I visit all those areas frequently. It’s a shelf near the Borrower Services desk bearing a laminated sign that reads RECENTLY RETURNED.
This shelf houses a smallish selection of maybe 40 to 60 books — about the number you might see on a table in the front of a bookstore, where the titles have earned a position of prominence by way of being new or important or best sellers or staff favorites. The books on the recently returned shelf, though, haven’t been recommended by anyone at all. They simply limit my choices by presenting a near-random cross section of all circulating parts of the library: art books and manga and knitting manuals next to self-help and philosophy and thrillers, the very popular mixed up with the very obscure. Looking at them is the readerly equivalent of gazing into the fridge, hungry but not sure what you’re hungry for.
Is it better to spend time, at the margin, pawing through the “recently returned” cart, or the “New Arrivals” section or for that matter just the regular shelves? How about the books simply left on tables and abandoned?
The big advantage of the books on the carts is that they usually are not bestsellers. For bestsellers there is a waiting list, and they are held for another patron, never making their way to the cart. I say go for the carts.
Here is one of them:
35% of Rwanda’s national blood supply outside the capital city is now delivered by drone. [Techmoran]
Here is another:
Advertisers place a single brown pixel on a bright background in a mobile ad. It looks like dust, so users try to wipe it off. That registers as a click, and the user is taken to the homepage. [Lauren Johnson]
Those weirdly expensive books on Amazon could be part of a money laundering scheme. [Brian Krebs]
Expensive placebos work better than cheap placebos. [Derek Lowe]
And if you ever doubted it:
There is a small but thriving startup scene in Mogadishu, Somalia. [Abdi Latif Dahir]
Think of art markets, and art collecting, as an ongoing debate over what is beautiful and also what is culturally important. But unlike most debates, you have a very direct chance to “put your money where your mouth is,” namely by buying art (it is very difficult to sell art short, however). In this regard, debates over artistic value may be among the most efficient debates in the world. At least if you are persuaded by the basic virtues of prediction markets. The prices of various art works really do aggregate information about their perceived values.
I have, however, noted a correlation, how necessary or contingent I am not sure. The “white male nerd types” who are enamored of prediction markets tend to be especially skeptical of the market judgments of particular art works, most of all for conceptual and contemporary art.
In my view, discussions about the value of art, as they occur in the off-the-record, proprietary sphere, are indeed of high value and they deserve to be studied more closely. Imagine a bunch of people competing to make “objects that are interesting but not interesting for reasons related to their practical value.” And then we debate who has succeeded, or not. And those debates reflect many broader social, political, and economic issues. And it is all done with very real money on the line. The money concerns not just the value of individual art works, but also the prestige and social capital value that arises from having assembled a prestigious and insightful collection.
Here are the winners from the first Pioneers tournament, summarized here:
In the short 3 months since its launch, Pioneer has garnered a global reach. Our first tournament featured applicants from 100 countries, ranging from 12 to 87 years old. Almost half of our players hailed from countries like India, UK, Canada, Nigeria, Germany, South Africa, Singapore, France, Turkey, and Kenya. Projects were spread across almost every industry — AI research, physics, chemistry, cryptocurrency and more.
They are a remarkably impressive group, here is one example:
Clark Urzo (23, Philippines)
Clark is making a programming language for physics. The idea is to enable anyone who can code to contribute to serious physics research (for example, simulations of gravitating systems). This opens up the field to the wondrous forces of open source and promotes open and accountable science along the way.
Noteworthy: Clark has an insanely impressive trajectory. He learned to code when he was 12. By 16, he was doing Laplace transforms, tinkering with Arduinos, reading Marx and Nietzsche, and taught himself conversational German. He co-founded a VR company by 19.
Harshu Musunuri (18, USA)
Harshu is creating synthetic materials to improve the diagnosis, treatment, and prevention of sepsis, a leading cause of death in hospitals around the world. Unlike other approaches, these materials don’t require refrigeration and enable low-cost toxin capture in resource-poor settings.
Noteworthy: Harshu comes from a humble background: she was born to an electrical engineer and an elementary school math teacher in a small village in South India. But her work is anything but humble. In her short career, she’s done research with NASA’s JPL, built a seizure detection app for epileptic patients and is now working on a project with the potential to save thousands of lives. She’s also a hacker at heart: when she lacked the formal lab tools to braze at high temperature, she used the exhaust vent of a ceramic kiln.
The overall lesson is that there is a great deal of undiscovered talent out there, and also that some people are out there discovering it! And if you wish to apply to round two, just follow the instructions at the top link.
The University of Illinois at Urbana-Champaign has paid $424,000 to insure itself against a significant drop in tuition revenue from Chinese students.
In what is thought to be a world first, the colleges of business and engineering at the university signed a three-year contract with an insurance broker to pay the annual six-figure sum, which provides coverage of up to $60 million.
The university came up with the idea in 2015 and implemented it last year but received permission from the broker to discuss it in public only earlier this month.
Here is the story.
This paper studies the longevity of historical legacies in human capital. The Partitions of Poland (1772-1918) represent a natural experiment that instilled Poland with three different legacies of education, resulting in sharp differences in human capital among the Polish population. I construct a large, unique dataset that reflects the state of schooling and human capital in the partition territories from 1911 to 1961. Using a spatial regression discontinuity design, I find that primary school enrollment differs by as much as 80 percentage points between the partitions before WWI. However, this legacy disappears within the following two decades of Polish independence, as all former partitions achieve universal enrollment. Differences in educational infrastructure and gender access to schooling simultaneously disappear after WWI. The level of literacy converges likewise across the former partitions, driven by a high intergenerational mobility in education. After WWII, the former partitions are not distinguishable from each other anymore.
That is from Andreas Backhaus, a job market candidate from University of Munich.
This is all Gwern, I won’t add another layer of indentation:
Some questions which are not necessarily important, but do puzzle me or where I find standard answers to be unsatisfying (along the lines of Patrick Collison’s list & Alex Guzey; see also my list of project ideas):
- What is
personal productivityand why does it vary from day to day so strikingly, and yet not correlate with environmental variables like weather or sleep quality nor appear as the usual kind of latent variable in my factor analyses? Is it something much weirder than the usual kind of latent variable, like a set of zero-sum measurements drawing on a generic pool of
- Does listening to music while working serve as a distraction, or motivation?
- What, algorithmicly, are mathematicians doing when they do math which explains how their proofs can usually be wrong but their results usually right?Is it equivalent to a kind of tree search like MCTS or something else? They wouldn’t seem to be doing a literal tree search because then there would almost never be mistakes in the proof (as the built-up tree of theorems only explores valid inferential steps), but if they’re not, then how are they handling
logical uncertainty? Are they doing something like MCTS’s random playouts where lemmas are not proven but simply heuristically given a truth value to shortcut exploration and the heuristic is accurate enough to usually guess correctly and this is why the proofs are wrong but the results are right?
- Why did Jean Calment live so many more years than other centenarians, breaking all records and setting a life expectancy record which decades later has not just not been broken, but not even approached? Which is extraordinary considering that she smoked, medicine has continuously advanced, the global population has increased, life expectancy in general has increased, and the Gompertz curve implies that, with mortality rates approaching 50%, centenarians should die like flies and ever closer in age to each other and not have occasional enormous permanent 3 year gaps between the record setter (Calment) and everyone since then.
- Why do humans, pets, and even lab animals of many species kept in controlled lab conditions on standardized diets appear to be increasingly obese over the 20th century? What could possibly explain all of them simultaneously becoming obese?
- What happened to the famous genome sequencing cost curve after late 2012, which stopped price decreases, damaged genetics, and delayed the advent of whole-genome sequencing by perhaps a decade? Was it really just the Illuminati’s fault?
- Why do humans have such a large mutation load on common genetic variants? Common SNPs make up a large fraction of variance, even for traits which must be fitness-affecting.
Culture or technology slow evolutiondoesn’t wash when human fitness differentials are so large and so many people died young or as infants, and how did the many deleterious variants get pushed up to such high frequencies in the first place?
- Why does the immune system so often surface as a genetic correlation or tissue enrichment in GWASes for many things not generally believed to be infectious? Are we missing an enormous range of infections directly causing bad things (or indirectly through autoimmune mechanisms), or the immune system just sort of like intelligence in being a general health trait?
- Why does catnip response vary so much across countries in domestic cats, and also across feline species, with no apparent phylogenetic or environmental pattern? It is so heritable in domestic cats that a genetic reason is plausible, but if it’s adaptive, what is it doing when catnip doesn’t exist in the ranges of most tested cats, and if it’s neutral why can so many closely-different different animals respond to it in different ways?
It seems Nozick was right after all, here is Raul Magni-Berton and Diego Rios:
In this article, the authors explore why academics tend to oppose the market. To this intent the article uses normative political theory as an explanatory mechanism, starting with a conjecture originally suggested by Robert Nozick. Academics are over-represented amongst the best students of their cohort. School achievement engenders high expectations about future economic prospects. Yet markets are only contingently sensitive to school achievement. This misalignment between schools and markets is perceived by academics – and arguably by intellectuals in general – as morally unacceptable. To test this explanation, the article uses an online questionnaire with close to 1500 French academic respondents. The data resulting from this investigation lend support to Nozick’s hypothesis.
Via Rolf Degen.
This paper studies the evolution of assortative mating in the permanent wage (the individual-specific component of wage) in the U.S., its role in the increase in family wage inequality, and the factors behind this evolution. I first document a substantial trend in assortative mating, as measured by the permanent wage correlation of couples, from 0.3 for families formed in the late 1960s to 0.52 for families formed in the late 1980s. I show that this trend accounts for more than one-third of the increase in family wage inequality across these cohorts of families. I then argue that the increase in marriage age across these cohorts contributed to the assortative mating and thus to the rising inequality. Individuals face a large degree of uncertainty about their permanent wages early in their careers. If they marry early, as most individuals in the late 1960s did, this uncertainty leads to weak marital sorting along permanent wage. But when marriage is delayed, as in the late 1980s, the sorting becomes stronger due to the quick resolution of this uncertainty with work experience. After providing reduced-form evidence on the impact of marriage age, I build and estimate a marriage model with wage uncertainty and show that the increase in marriage age can explain almost 80% of the increase in assortative mating.
That is from the job market paper of Alparslan Tuncay, from the University of Chicago.
John is one of the smartest people I know, and one of my favorite people to talk to, here is the transcript and audio. Here is the opening summary:
Raised in the Philippines and taught to be a well-rounded Catholic gentleman, John Nye learned the importance of a rigorous education from a young age. Indeed, according to Tyler he may very well be the best educated among his colleagues, having studying physics and literature as an undergraduate before earning a master’s and PhD in economics. And his education continues, as he’s now hard at work mastering his fourth language.
On this episode of Conversations with Tyler, Nye explains why it took longer for the French to urbanize than the British, the origins of the myth of free-trade Britain, why Vertigo is one of the greatest movies of all time, why John Stuart Mill is overrated, raising kids in a bilingual household, and much more.
Here is one bit:
NYE: In fact, one of the things I do know about the 19th century is that there’s no evidence that either unilateral free trade or multilateral did very much.
Almost all the free trade in Europe in the 19th century was a product of, initially, the bilateral trade agreement between Britain and France, sometimes known as the Anglo-French Treaty of Commerce of 1860, in which they each agreed to much more liberalized trade on a most-favored-nation basis. Once they accepted this, then what happened is, anyone who signed on to either Britain or France on the most-favored-nation basis then bought into, in some sense, this system.
Here is another:
COWEN: Particular mistakes aside, what were the systemic mistakes the Western world was making in, say, 1910, 1912?
NYE: I think the systemic mistake really boils down to how do you deal with the problem of power? How do you deal with the problem of different groups, different cultures wanting their place at the table? It’s clear that, if you look, a lot of the fight of imperialism was great-power competition.
If you look in the Far East, for example, some people may know that the United States took the Philippines from Spain at the end of the period of Spanish control of the Philippines in 1898, and partly this was due to Perry’s decision to sail into Manila Bay.
One of the things that’s not discussed — most people are unaware of — is that the German and British fleets were waiting in Hong Kong. They were waiting to see what the Americans did. And it’s quite likely that, had the Americans not steamed into Manila Bay, that the Germans or British would have intervened in the Philippines once the Spanish collapsed.
COWEN: And if there’s an underlying political subtext or import of Hitchcock, what do you think that would be? Not what he necessarily intended as his politics, but what’s in the movies in terms of human nature and political man?
NYE: Well, I think there’s this question of suspicion and the tendency to not appreciate how much is going on under the surface. I think people tend to see these things narrowly in terms of Cold War paranoia. But Hitchcock was a political conservative, and he was much more of the very old British conservative view that one should be wary in times of —
COWEN: Suspicion is metaphysical, right?
Definitely recommended, I am very honored to have had the chance to do this with John.
We examine the impact of having a same-race teacher on students’ long-run educational attainment. Leveraging random student-teacher pairings in the Tennessee STAR class-size experiment, we find that black students randomly assigned to a black teacher in grades K-3 are 5 percentage points (7%) more likely to graduate from high school and 4 percentage points (13%) more likely to enroll in college than their peers in the same school who are not assigned a black teacher. We document similar patterns using quasi-experimental methods and statewide administrative data from North Carolina. To examine possible mechanisms, we provide a theoretical model that formalizes the notion of “role model effects” as distinct from teacher effectiveness. We envision role model effects as information provision: black teachers provide a crucial signal that leads black students to update their beliefs about the returns to effort and what educational outcomes are possible. Using testable implications generated by the theory, we provide suggestive evidence that role model effects help to explain why black teachers increase the educational attainment of black students.
I would describe the strength of this effect as one of the main and most important things economists have taught us over the last five years.