Some questions that I find interesting. I've omitted some that are related to Stripe. (Pointers to interesting readings on these topics are always welcome, as are pointers to responses.)
Why are certain things getting so much more expensive?
Spending on healthcare in the US is up 9X in real terms since 1960. K12 education spending in the US has increased by 2-3X per student per year since 1960. The cost of college in the US has more than doubled (again, in real terms) since 1984. Growth in everything from construction costs to childcare costs is significantly outpacing inflation. Lots more at SSC and from Tyler.
What's going on? Why are we seeing dramatic declines in costs in many areas of the economy and such steep increases in others? How much of the cost growth is unmeasured improvement in quality and how much is growing inefficiency? How should one predict a priori whether a sector will exhibit increasing or decreasing costs relative to inflation? What do we do about it all?
Why do there seem to be more examples of rapidly-completed major projects in the past than the present?
The Empire State Building was built in 410 days. The Lockheed P-80, the first jet aircraft deployed in the Air Force, took 143 days from project initiation to first deployment. Marinship went from "proposal" to "first ship completed" in six months. The Apollo Program lasted 9 years from initiation to moon landing. While a lot happened in the US during World War II, it's easy to forget how short the period in question was: American involvement lasted 3 years 8 months and 23 days.
Meanwhile, a BART extension is delayed more than a year because the wrong networking equipment was installed. (The 16-mile extension will cost circa $2.3 billion and have taken around 7 years.)
Is the sense that there are fewer contemporary examples of rapid progress justified? If so, what's going on?
Why is GDP growth so weirdly constant?
If you look at log US GDP over the past 150-or-so years, it is very strangely smooth:
Why? What determines the slope? Would it be correct to conclude that "almost nothing will affect the economy over the long run"? This phenomenon may even extend back further in the US. But it's not like nothing matters; GDP growth between countries does vary a lot, in both the short and the long run. So... what gives?
If we zoom out and look at the world over the past 10,000 years, we may see similarly peculiar smoothness (though note in this case the logarithmic X axis and Y axis):
See also Kaldor's facts.
How do you ensure an adequate replacement rate in systems that have no natural way to die?
Schumpeter claimed that the problem of capitalism is not how capital is allocated to existing structures but how structures are created and destroyed. Systems and institutions inevitably get stale or become less effective but also work very hard to survive. (See also: the institutional imperative, Berliner's commentary on the "invisible foot", and Herbert Kaufman's short book.) Bankruptcy takes care of senescent businesses. But how do we get a sufficient replacement rate in systems and institutions that aren't naturally subject to extinction processes?
How do we help more experimental cities get started?
It seems that the returns to entrepreneurialism in cities remain high: Hong Kong, Singapore, Dubai, and others, have improved the lives of millions of people and appear much more contingent than inevitable. Maybe there could be far more of them. Beyond the direct benefits, city-sized areas enable regulatory experimentation that may, in turn, affect much larger regions. The Shenzhen special economic zone was the first step in China's broader economic liberalization. (In addition to the books about the aforementioned cities, some related reading, and a related research organization.)
How can we encourage the creation of more cities and more experimentation in their rules?
Mark Lutter wrote up some sub-questions.
How do people decide to make major life changes?
Most days, people don't decide to change their lives in big ways. On a few days, they do. What's special about those days? How much is it about the stimulus versus their own inner state?
Why are there so many successful startups in Stockholm?
London and Paris have surprisingly few successful tech startups for their size. Stockholm, a city of less than 1 million people, has Spotify, King, Klarna, iZettle, and Mojang, all valued at more than $1 billion. What's true of Stockholm that isn't true of other European cities? (Similar questions apply to Provo, Utah, and Tallinn, Estonia.)
Is Bloom's "Two Sigma" phenomenon real? If so, what do we do about it?
Educational psychologist Benjamin Bloom found that one-on-one tutoring using mastery learning led to a two sigma(!) improvement in student performance. The results were replicated. He asks in his paper that identified the "2 Sigma Problem": how do we achieve these results in conditions more practical (i.e., more scalable) than one-to-one tutoring?
In a related vein, this large-scale meta-analysis shows large (>0.5 Cohen's d) effects from direct instruction using mastery learning. "Yet, despite the very large body of research supporting its effectiveness, DI has not been widely embraced or implemented."
How can we better understand the dynamics of progress in science?
We invest an enormous amount of time and money in science. Cumulative progress in science will probably do more than anything else to determine the shape of our collective future. In order to ensure that we're spending enough—and doing so on the right things and in the right ways (maybe we should have more independent institutes, or more funding of promising early-career scientists, or...)—how should we think about measuring the results?
(It's interesting that this question doesn't seem to be analyzed more deeply. For example, the NIH spends about $37 billion per year, and yet there are essentially no books about the NIH, nor is there much investigation of the effectiveness of the allocation, despite some ostensibly surprising trends.)
Will end-user applications ever be truly programmable? If so, how?
Emacs, Smalltalk, Genera, and VBA embody a vision of malleable end-user computing: if the application doesn't do what you want, it's easy to tweak or augment it to suit your purposes. Today, however, end-user software increasingly operates behind bulletproof glass. This is especially true in the growth areas: mobile and web apps. Furthermore, not only is it getting harder to manipulate the application logic itself, but it's also becoming harder to directly manipulate your data. With Visual Basic, you can readily write a quick script to calculate some calendar analytics with Outlook. To do the same with Google Calendar is a very laborious chore.
End-user computing is becoming less a bicycle and more a monorail for the mind.
As a consequence, we need ever more domain-specific software. Rather than use universal tools for handling charts and for manipulating data, we tend to use separate analytics packages for every conceivable application. This is not all bad. Domain-specific tools can maximize ease-of-use and help amortize the cost of complex, specialized functionality. Sublime's built-in ⌘-T works better than every third-party Emacs package. Still, despite these benefits, the popularity of macros and browser plugins strongly suggest that users are smart and want more control.
Should we just give up on our earlier visions of empowered users or is a better equilibrium possible?
What's the successor to the book? And how could books be improved?
Books are great (unless you're Socrates). We now have magic ink. As an artifact for effecting the transmission of knowledge (rather than a source of entertainment), how can the book be improved? How can we help authors understand how well their work is doing in practice? (Which parts are readers confused by or stumbling over or skipping?) How can we follow shared annotations by the people we admire? Being limited in our years on the earth, how can we incentivize brevity? Is there any way to facilitate user-suggested improvements?
What's the successor to the scientific paper and the scientific journal?
Are LaTeX'd papers and paid journals really the best we can do? Peer review and modern scientific publishing are quite recent phenomena. In different ways, Distill, the arXiv, Fermat's Library, and Sci-Hub hint that improvement might be possible.
What's the right way to understand and model personality?
Since the 1980s, the five-factor personality model has gained a great deal of traction. It is ostensibly applicable to a great deal of life. What are its limitations and in which situations should we use it?
Could there be more good blogs?
It seems that they heyday of of blogging is passing. If so, that's unfortunate. Blogs can be a remarkably efficient mechanism for disseminating ideas and facilitating discussion and debate. (E.g., Sumner's arguments for NGDP targeting.) Twitter is good, too, but there's lots that blogs are great for that Twitter can't replace.
Part of the problem with blogs is that they're less rewarding than Facebook and Twitter: your post may perhaps get some thoughtful responses but it doesn't get immediate likes. And part of the problem is, of course, that writing a good post is much harder than writing a witty tweet.
Are there incentive structure tweaks that yield more good blogging?
Why are programming environments still so primitive?
In different ways, Mathematica, Genera, and Smalltalk put almost every other programming environment to shame. Atom, Sublime Edit, and Visual Studio Code are neat, but they do not represent a great improvement over TextMate circa 2007. Emacs and Vim have advanced by even less.
Why can't I connect my editor to a running program and hover over values to see what they last were? Why isn't time-traveling debugging widely deployed? Why can't I debug a function without restarting my program? Why in the name of the good lord are REPLs still textual? Why can't I copy a URL to my editor to enable real-time collaboration with someone else? Why isn't my editor integrated with the terminal? Why doesn't autocomplete help me based on the adjacent problems others have solved?
What does religion cause?
Religion is one of the biggest shapers of human civilization. Some of the effect sizes seem quite striking: Jews have won an amazing fraction of all Nobel prizes and Mormons in Utah show extremely strong upward mobility. Schulz and others claim to show how the spread of Christianity in Europe meaningfully changed levels prosocial behavior and the broader structure of society. Henrich writes that "humans do not have a general tendency to help, protect, or harm others. Rather, these behaviors are conditioned by many contextual factors."
So, in the broadest sense, what does religion cause? How do various religions differ in the nature and magnitudes of their effects? Do religions consistently cause different things in different regions, as they interact differently with regional cultures? There are a lot of studies with "religiosity" as a variable. What happens when you disaggregate by religion?
Why is there no canon for life's most important questions?
If we go to study economics, we quickly become familiar with The Wealth of Nations and Keyne's General Theory. If we become interested in moral philosophy, we swiftly encounter Reasons and Persons and A Theory of Justice. But for many of life's most important questions, we won't find any similar canon. That is, there are no similarly definitive books about how to navigate your education, how to select a career, how to choose a partner, how to be a good friend, or how to raise your children well. That's not to say that there aren't lots of books on these questions. There are, of course. But there are none that are so good, or important, that you might assume that others interested in the questions will be familiar with their ideas. Is it not possible for there to be "great" books about these questions? Or have they just not been written yet?
Why are so many things so much nicer in Switzerland and Japan?
Compared to almost all countries (including the US), Switzerland and Japan seem to possess much higher baseline execution quality in almost everything. Buses and trains are better (and more punctual); low-end food is tastier; cheap hotels are more comfortable; their airlines score higher on international indexes (despite not spending more per passenger); streets are cleaner; grocery stores and corner stores are nicer; ostensibly unremarkable villages have more beautiful buildings and are more pleasant places to spend a few days.
(This phenomenon, whatever it is, may extend even further. The homicide rates in both Japan and Switzerland are about a tenth of that of the US and less than half those of England, France, and Germany.)
What's going on? While wealth is clearly some of the story, it isn't just a matter of wealth: GDP per capita in Japan substantially lags that of the US. Nor does it seem to be a matter of historical wealth. (1900 Japan was even further behind.) It doesn't seem to be the simple result of long periods of stability. (Again, Japan.)
So, what exactly is this effect? Which things are truly better and by how much? Are these effects the result of the same kind of phenomenon in Switzerland and Japan? Is this in any way related to their topping the economic complexity index? Could other countries acquire this "general execution capital"? And are there meaningful trade-offs involved or is it a kind of free lunch?
Why isn't China (yet) producing a lot of top-tier research?
In the fields scientists I'm close to are most familiar with (economics, biology, CS, physics), the consistent report is that little-to-no influential research has yet emerged from Chinese universities. (There's plenty from Japanese, French, German, etc., universities.) This is fairly clearly not the result of any characteristic of the underlying individuals—Chinese researchers have done, and continue to do, amazing work while at universities outside of China. Citizens of mainland China have won six Nobel Prizes in the sciences, but only one of those was for work done in China. This is despite the fact that China is now apparently #2 in the world in R&D funding.
It's possible that we're overlooking a lot of great work done at Chinese universities, although the NSF reports that academics at Chinese institutions publish more peer-reviewed papers every year than academics at American institutions do, so it doesn't appear to be the case that we're simply ignoring Chinese research in aggregate.
Assuming there is something to be explained here, what are Chinese universities missing?
Why don't we build nice neighborhoods any more?
There are lots of nice neighborhoods in the world. Indeed, almost every city has a few of them. But as you happily walk around the hutongs in Beijing, Higashiyama in Kyoto, Starówka in Warsaw, Palermo in Buenos Aires, Gemmayze in Beirut, or the Village in New York, you notice: they are all old. Indeed, we assume by default that the "old town" is the nice part, almost always helpfully accentuated with ochre shade in Google Maps.
Shouldn't this seem weird? Our best computers are not our oldest ones. One might immediately suspect survivorship bias -- presumably we just demolished the bad old neighborhoods and kept the good ones. That doesn't seem quite right, though. It's hard to think of any neighborhoods in the US constructed since 1950 that are pleasant, but there are plenty that date from the 17th century (Cambridge MA or Providence RI), despite quite a lot less construction happening back then. If it's just a selection effect, the difference shouldn't be quite so stark.
Maybe we got worse at making them as a result of optimizing for the car? Nathan Lewis makes a persuasive case that bad urban design predates its invention, however, and it's a little hard to imagine that the problem could be so neatly monocausal. If so, though, you then have to wonder -- are the dynamics that yielded bad design in Toledo OH (his example) the same as those at play in recently-constructed urban landscapes, like much of Cebu, Philippines?
Whatever is going on, a growing fraction (about 55% today) of a growing number of humans live in cities. Given that our physical location determines so much of our quality of life, shouldn't we be very distressed that we seem to be getting worse at making them? And what else are we getting worse at?
What influences when people act in accordance with their self-interest and when they don't?
People often prefer policies that maximize their own gains. Homeowners, for example, typically favor highly-restrictive zoning policies that inflate the value of their homes. On the other hand, data show that rich Americans seem to consistently favor Democrats over Republicans, which ostensibly contravenes their narrow self-interest. On policy matters, what determines when someone preferences other values ahead of their personal benefit?
What's going on with infrastructure?
When New York decided to build a subway, the first contract was awarded on February 21, 1900. 28 stations opened and general operation commenced on October 27, 1904, 4.7 years later. The total cost was about $1.1 billion in 2019 dollars. (Source.) In April 2000, the MTA decided to build the Second Avenue Subway. The first phase, with 3 stations, opened on January 1, 2017; it cost $4.45 billion. Despite construction technology having presumably improved in the intervening century, the Second Avenue line was 37x more expensive on a per-station basis.
The early days of the US Interstate Highway System saw a construction cost of about $1.5M per mile in 2019 dollars. (Source.) San Francisco currently projects that a bus lane will cost $309.3 million over 2.2 miles, i.e. $140M per mile. This isn't quite like-for-like (SF is merely making some improvements in a readily-accessed urban environment, not constructing de novo highway), but is nonetheless paying 93x more per mile.
Most people know that infrastructure is getting more expensive. (Alon Levy and Josh Barro have some good writing on the topic.) The magnitude of the change is quite startling, however. If technology is about doing more with less, our effective technology for manipulating the physical world seems to have drastically deteriorated. In 2019, construction of a single high-speed rail link seems slightly beyond the boundary of what's possible for California, a state with a GDP approximately equal to that of France.
Will this trend continue? Will we lose the ability to even maintain what we have today? Is this the product of one factor or many? Which countries are exceptions to this trend? What is going on?
Why did climatic variability suddenly decline in the Holocene period?
Starting around 12,000 years ago, the earth's climate appears to have become much more stable. The above chart (using data from Ditlevson 1996) shows δ18O concentration of Greenland ice cores, a proxy for temperature. More recently, we've come to think that this data overstates the case. For example, Rehfeld 2018 uses "a network of marine and terrestrial temperature proxies to show that temperature variability decreased globally by a factor of four", which is substantially less than what the Greenland ice core data implies. Nonetheless, it seems to be the case that variability decreased significantly in the Holocene period; exactly how much remains somewhat uncertain.
Some argue that this stability is what enabled the rise of agriculture, and therefore civilization. In Was Agriculture Impossible during the Pleistocene but Mandatory during the Holocene?, Richerson argues that climatic variability and low CO2 levels made agriculture impossible before the Holocene period but mandatory afterwards. In Climate Stability and the Origin of Agriculture, Feynman and Ruzmaikin make broadly the same argument, and point out that "around 10,000 ybp agricultural societies were independently established in many regions during the same few thousand years".
If true, this seems a big deal. So, to what degree did the climate become more stable in the Holocene period, and to whatever extent it did, why did that happen? In Maslin 2001, the authors write "Holocene climate variability still has no adequate explanation and falls in the ‘gap’ of our knowledge between Milankovitch forcing of ice ages and rapid variations such as El Niño and the North Atlantic Oscillation. Future research is essential for understanding these climate cycles so that we can better predict the climate response to anthropogenic ‘global warming.’"