Podcast Recommendations October 2019

Last year I wrote up a post discussing my recommended podcasts, and I figured it was about time to update my list. Podcasts have grown significantly in the last 10 years to the point where I honestly haven’t listened to terrestrial radio stations for several years. Podcast distribution is decentralized, and the barrier to entry is low. We live in a world where if you have a niche interest, there’s going to be a podcast and several YouTube channels covering it.

But since podcast discussion is decentralized, my most common method of hearing about podcasts is through other people. In that light, I have created this list of recommendations. It is loosely grouped with podcasts I have listened to longer and/or enjoy more at the top, with more recent podcast discoveries or podcasts whose episodes I have found hit or miss towards the bottom.

I’d also like to take a second to recommend a method of podcast listening: have a low barrier to skipping an episode of a podcast that you otherwise enjoy. This was actually a recommendation by 80,0000 Hours podcast host Rob Wiblin. He encourages his listeners to skip podcast episodes if they find it uninteresting because he’d rather they continue to enjoy the pieces of content from the podcast that they do like, rather than feel like they have to slog through parts they don’t. Moreover, there is just so much good content out there, you should never waste your time with something you don’t find interesting. And now the (slightly sorted!) list:

Reason Podcast

First up, the Reason Podcast includes several different types of excellent content. My favorite is the Monday Editor’s Roundtable which usually includes Katherine Mangu-Ward, Matt Welch, Nick Gillespie, and Peter Suderman. It’s well-edited, sharp, witty, and always tackles the latest news of the week from a libertarian perspective. In the last few years I often find myself wondering if the political world has lost its mind, and on Mondays I’m able to get the message that yes, everyone has gone crazy, but you’re still not alone, there are these four libertarian weirdos who are right there with you. Moreover, Nick and Matt’s obscure 70s and 80s pop cultural references and cynicism play well off of Katherine and Peter’s more techno-libertarian science fiction vibe.

However, that’s not the only content here! There are many interviews from presidential candidates to authors and professors. Audio from the monthly SoHo Forum debates are also posted, and I always listen to at least the opening statements (audience Q&As are less interesting to me). Overall, I almost never skip an episode of the podcast and they produce a ton of great content!

80,000 Hours

80,0000 Hours is an effective altruist organization researching how people can do the most good with their careers. The effective altruist movement does great work, and I think anyone seriously interested in making a difference in the world should be aware of it and the approach with which effective altruists analyze the world. But more than that, this podcast is just more awesome than other interview shows. Rob Wiblin, the host, is excellent at interviewing. He presses the guests on issues but is also willing to accepting strange concepts about the world and follow them to their interesting conclusions.

The interviews are also long, sometimes resulting in 3 hour episodes. This is on purpose, as they can cover in depth why people have the beliefs they do, and what specialized knowledge they have accumulated working in niche roles. Sample episodes include Vitalik Buterin (founder of Ethereum) on ways to revamp public goods, blockchains, and effective giving, Paul Christiano (AI alignment researcher at OpenAI) on messaging the future, increasing compute power and how CO2 interacts with the brain, and Philip Tetlock (author/inventor of Superforecasting) on why forecasting matters for everything.

This one is perhaps a bit more intense than some of the more chill “people hanging out” podcasts, but I listen to every episode.

EconTalk

EconTalk is centrally an economics podcast hosted by Russ Roberts. It’s funded by the Library of Economics and Liberty and Roberts leans libertarian, but he is a courteous and thoughtful interviewer. He knows his biases and acknowledges them during discussions. The podcast strays into many related fields, not just economics; Russ is interested in personal philosophy and introspection as well.

As of late, Russ has particular concerns about the economics field and how free market policies fall short of what we might hope for. In particular, he has discussed themes of societal disillusionment and isolation that simple “material” concerns that dominate economic metrics cannot capture. I wouldn’t say I always agree with Russ and certainly not with all of his guests, but I can say I listen to almost every episode because there are so many good insights discussed.

The Fifth Column

I recently heard the term “Dive Podcast”. This is an excellent description of The Fifth Column, a talk show hosted by Kmele Foster, Matt Welch, Michael Moynihan, and Anthony Fisher. All lean various degrees and shades of libertarian, and discuss the news and/or critique the ever continuous stream of takes in print media, television, online, Twitter, etc while in various states of inebriation. This is much less of a cerebral lecture and more of a “rhetorical assault” as Kmele calls it.

I find the show incredibly entertaining, often informative, and very funny. I listen to all episodes as soon as they are posted.

Hello Internet

Hello Internet is another talk show, hosted by YouTubers CGP Grey and Brady Haran. It isn’t really related to any topics we cover here on the blog, but it is nonetheless entertaining and charming. Unlike The Fifth Column, there is no alcohol involved in the making of this podcast, but it does have an amusing self-grown culture and language.

For example, there is an official flag of the podcast after a referendum of users was held, but one of the losing flags is occasionally taken up by rebellious listeners. There are also unofficial official birds of Hello Internet (the Reunion Swamphen with limited edition t-shirts). Topics covered include YouTube, technology, but also the various interests of Brady and Grey, such as mountain climbing or Apple products. There’s no simple way to convey this podcast, but I do recommend it, and I do listen to every episode.

Rationally Speaking

Rationally Speaking is an interview show hosted by Julia Galef, founder of the Center for Applied Rationality and who I’ve heard described as one of the major pillars of the rationality community. Like Russ Roberts of EconTalk, Galef is an excellent, fair, and thoughtful interviewer. However, the subjects of these interviews are much broader than EconTalk’s admittedly broad discussion of economics. There is a general focus on the philosophy of why we believe what we believe. I do tend to skip more episodes of Rationally Speaking than I do of previously mentioned interview podcasts, but I estimate I still listen to 90% of all episodes, and I would absolutely recommend this very accessible podcast to everyone.

The Economist Editor’s Picks

This one is pretty straightforward. In a world where we tend to get news continuously from the internet or our smartphones, this podcast is a short, ~20 minute weekly selection of important topics from a global perspective that you might not know much about, and that may have gotten swept away in the torrent of your daily information deluge. The Economist is certainly opinionated, but I think does a good job of promoting moderate, liberal ideas that would improve the world. This podcast is an excellent way to expose yourself to some of those simple important concepts in a global context.

Anatomy of Next

From Founder’s Fund, this is a bit of an outlier podcast on here. It’s much more of a series of scripted journalistic pieces or lectures rather than recorded unscripted discussions between people. However, it is quite ambitious in its ideas. The latest season, entitled “New World” which finished up in early 2019, is about how to build a human civilization on Mars. Anatomy of Next explores everything, most of which does not exist yet, but perhaps could. There is terraforming, genetic engineering, sci-fi launch concepts, etc.

I wouldn’t say this podcast is for everyone, but if you feel like you are missing out on human optimism, where people talk about settling Mars with technology that doesn’t exist and yet remain incredibly compelling, this is a podcast you should definitely check out. Also, thanks to Nick Gillespie and Reason for interviewing Mike Solana and letting me know about this podcast in the first place!

Building Tomorrow

Building Tomorrow is a podcast about technology and innovation, and how that is leading to and interacting with individual liberty. It’s hosted at Libertarianism.org which is a project of the Cato Institute. I only recently discovered this podcast and thus it is lower down on my list only because I haven’t had a chance to listen to as many episodes as I would like. Nonetheless, every episode I have listened to is really great! Of course, this program is the perfect niche for me to enjoy, but I would definitely recommend it to anyone who enjoys this blog.

Conversations with Tyler

Tyler Cowen co-hosts one of the most popular econ blogs in the world, Marginal Revolution, and, of course, he is quite an accomplished economist and author. I have recently discovered his podcast, and it’s pretty wonderful. I admit, I don’t listen to every episode, as it turns out Cowen’s and my interests diverge somewhat, which is quite alright. On the episodes that I do find interesting, Cowen is an excellent, although unorthodox interviewer. I rarely go into an episode knowing much about the interviewee or even thinking that I’d really enjoy the topic, but I am always impressed.

There are some additional podcasts I listen to sporadically, but either don’t fit the context of this blog, or I haven’t listened to enough episodes to recommend them here. Nonetheless, it’s worth mentioning that I have listened to a handful of episodes from the Neoliberal Podcast, and I hypothesize that if I wrote this list again in 3 months, it would likely be here.

If you have any podcast recommendations, please tweet at me or leave a comment! I’m always interested in more podcasts.

Book Review: Harry Potter and the Methods of Rationality

Harry Potter and the Methods of Rationality is a Harry Potter fanfic written by Eliezer Yudkowsky (which you can find here). Yudkowsky is the creator of LessWrong which I often use as a shorthand for the entire Rationality space. I wasn’t around at the time, but I eventually found Scott Alexander’s work at Slate Star Codex, who is linked in the sidebar and is one of the inspirations for this blog. Through SSC, I found writings by Yudkowsky, mostly about artificial intelligence. Last year I tried to read the essays known as “The Sequences” or Rationality: A-Z at LessWrong. I read the first couple of books, but they’re pretty dense and my interest dropped off.

HPMOR, unlike The Sequences, is fiction, and I found it incredibly easy to read. I assume the project began as a way to teach rationality through a common pop culture phenomenon, and it’s pretty solid at doing that. Concepts like Bayesian updating and evolutionary biology are well explained, but are done so partially as a critique of the Harry Potter universe.

The general premise is that Harry Potter’s Aunt Petunia marries an Oxford professor instead of Vernon Dursley. Thus, Harry is raised with extensive training on the scientific method by his adoptive parents, as well as the latest understanding of probability, physics, biology, chemistry, etc. He comes to Hogwarts armed with the scientific method and sets about trying to understand how magic works.

The Harry Potter universe is an excellent substrate in which to do this, because its world is so creative, popular, and complete. But J.K. Rowling’s world also has glaring problems which can be explored in ways that teach social and physical science, and even philosophy. The wizarding government apparently sends people to Azkaban where they are not only kept separate from other people (as we do in our world with regular prisons), but they are also psychologically tortured in the most horrifying way, with their good memories drained by beings of pure evil. They also apparently have no trials, as Hagrid is sent to be tortured in the second book with no oversight. Additionally, wizards have magical healing capabilities and can magically create copies of food, yet muggles in the non-wizarding world die of malaria, tuberculosis, and starvation all the time, and this is never mentioned in the original source material.

A lot of science fiction has similar problems; in The Matrix, the machines get energy from human beings’ thermal energy, but instead of just putting people in comas, they create a massively complex neural interactive computer simulation. This creates both the ranks from which their enemies recruit and uses tons of additional energy. To be sure, science fiction isn’t necessarily made worse because of these internally inconsistencies, but good science fiction should explore these ideas instead of paper over them with hand-waving.

The writing of HPMOR is delightful. A fanfic that explores Bayesian probability in the Harry Potter universe shouldn’t be this well written, but it really is. It’s creative, funny, intense, emotional, and continually pushed me to want more. The actual size of the six books in the series is gargantuan, somewhere over half a million words, or something like the first four actual Harry Potter books combined. If you read just the first “book”, I think you’ll get a general idea and know if you find it interesting yourself. I couldn’t put it down. It makes me wonder in particular about Eliezer Yudkowsky; I had previously thought of him as an AI alignment research person, so it would appear he is somewhat of a polymath who can both write incredibly amazing and addictive fan fiction and be a leading advocate/researcher for AI alignment.

The exploration of magic is the inspiration for the story, but that’s not where it stops. The plot itself is highly compelling and different enough from the actual book(s) that I wasn’t sure exactly where it was going. It also does a nice job of rebuilding the Harry Potter world in a somewhat internally consistent way after all the criticisms. Yudkowsky comes up with a lot of original ideas here that fit into the pre-existing universe really well. There are also a lot of influences from Ender’s Game, which makes a lot of sense given that is also a story of a young child genius using logic and game theory to make it through a school.

This story also makes me think about intellectual property and copyright lengths again. HPMOR is perhaps the best example I’ve ever seen of someone creating an incredible story in a world that they didn’t have IP rights to, and it makes me wonder how many more stories like this could exist if copyright lengths were shorter. Harry Potter was such a huge phenomenon that it really required the modern world to have that huge impact, like Star Wars or Marvel movies. But were copyrights to only last 30 years, we might be able to see amazing works like HPMOR used to build careers on great franchises in the public domain while those cool franchises were still relevant!

In short, I strongly recommend this fan fiction under the condition that you enjoy Harry Potter. Otherwise, a lot of setting and characters may not make sense and I’m sure all of the jokes will fall flat. Other than that, if you’re already reading this blog, you have some vague enjoyment of rationality, empiricism, systematized thinking, etc and this story is educational, creative, and addictive.

Book Review: The Case Against Education

Most people believe education increases students’ skills, and thus, education is a way to improve your life and career through learning how to be an engineer or a… (checks most common majors) …business…person… psychologist. Bryan Caplan’s latest book disputes this claim, arguing instead that education, especially college and graduate degrees, but even high school, is largely signaling, and not skill building. What does this mean?

Caplan believes employers look at your college degree and GPA and see that you are smart, hard-working, and conform to social norms, and it is that information, not skills you have, which gets you hired (mostly). Prior to reading this book, I held views that higher education had some issues, and I was particularly suspicious of the increasing cost of a college education that has significantly outpaced inflation. With new technological breakthroughs that make teaching much easier, is it really that much more expensive to teach undergrads than it was 30 years ago?  With all the new amenities American colleges are adding (study abroad programs galore, student life funding, food, study rooms, etc), it seems like most of the money is not going to teaching, but shouldn’t a free market among colleges force them to compete on price?

The Case Against Education presents a solution to this puzzle, and much more that I had not considered. Signalling is about relative appearance. If the US and USSR both have ICBMs, no one will fire them out of fear of retaliation. But if one superpower develops submarine launched missiles, then there is a relative difference, and now the other must develop submarine launched missiles as well, or they risk being destroyed in a submarine first strike. Afterwards, the new equilibrium re-establishes a balanced peace, but both countries have wasted time and resources building submarines only to get back to the exact same situation. College is an academic arms race; if everyone could agree not to go to college, we’d be in the exact same place but without having to pay all that expensive tuition.

How can this be though? We know college raises people’s earnings, ergo shouldn’t the market fix this by finding better ways to figure out if prospective employees are worth hiring? Not really. College degrees give employers a “free” way to see which prospective applicants would be best to hire, paid for entirely by the applicants (or the government). Most jobs require pretty specialized skills that can only be learned on the job, so what employers are really looking for is intelligence and commitment. Having a good GPA (and getting into a good college) indicates not only intelligence but also the ability to work hard to achieve long term goals. This system is wonderful for employers, and they have no incentive to change their hiring practices to target non college grads who would probably be more productive with direct on the job training. Those hires are riskier on average as some hires will have been unable to enter college, rather than more interested in work. Employers essentially outsource job screening onto colleges at no cost to them. Colleges also have no incentive to fix the system of course, and the government funding that helps make the problem worse doesn’t respond to financial incentives, especially as education is pretty popular. Students can’t escape either as they are stuck in the arms race, and thus the problem persists.

We Don’t Learn Much From School

Nonetheless, the signalling case may not be intuitive. Most people know they learned things in school, after all, we all had tests on the material! I earned a pretty good GPA at my school, and I had to learn a bunch of stuff for it! The Case Against Education‘s second chapter addresses this quite aggressively, and the following few paragraphs are discussions arising from that chapter. First, it points out that a large fraction of what we learn in school isn’t very applicable to our jobs. I really enjoyed my social studies classes, and I certainly use some of the things I learned when writing this blog, but I do this as a hobby. In my actual employment, I have never needed the years of history, government, or economics classes I took. My counter is that Caplan just asserts some classes are worthless. He has some numbers to back up the particular claim that despite most American high schoolers being forced to learn a foreign language, very few actually speak anything other than English as an adult. There also don’t seem to be many useful careers in the social sciences outside academia. Maybe you need to study civics to get a job in government, although not for most basic bureaucracy desk jobs. I think some more concrete numbers would help his case, although I concede he’s probably right on most accounts.

(Caplan also points out that some “useful” classes, like Math, aren’t necessarily that useful if you break them down; almost everyone takes Geometry, yet very few people need to reason about triangles in their everyday life.)

There’s also an excellent counterargument to the idea that knowledge might become useful later (e.g. “Latin might be helpful if I need to know meaning of an unknown word”). Hoarders make the same argument, “I might need this 17th water bottle someday!”. Education costs resources, and we shouldn’t be purposefully spending them on concepts that may never be useful to students.

Caplan also extensively evaluates whether students actually retain what they learn in school years later. The results are incredibly dismal. Even basic literacy and numeracy, which Caplan argues are the most practical skills we learn in school, are pretty awful when tested. Civics, Science, and foreign language skills were similarly terrible. It’s even suggested that 38% of American citizens would fail the citizenship exam.

The claim that school teaches you how to reason or how to think and analyze is also refuted. Moreover, as I would add, if that’s the main benefit of school, why not teach that directly instead of lots of classes based off of memorization? There may be some argument against the exact examples and studies Caplan uses; perhaps the ability to apply statistical knowledge in non-academic areas is slightly better than the book suggests, or perhaps a year of education raises your IQ slightly more than a few IQ points higher, but overall these themes are hard to overcome; students don’t retain much information from decades of education, they don’t become brilliant by being in school, and they don’t learn skills they eventually use on their jobs.

More Signalling Evidence

Other interesting observations by Caplan that impressed me were that top educational institutions give their classes away for free. You can watch many of the best lecturers online without paying anything, but you can literally walk into Duke or Harvard and watch lectures from professors. If schools were charging for the education, there would be barriers to getting into classrooms, but there aren’t, because that’s not why you pay to go to college; you pay for the degree. Also of note, in Chapter 3, Caplan analyzes whether some college degrees are useful in building skills while others are not, which might indicate that the “human capital story” could be true, just not true for every major. He points out that even if you are mismatched in your career from the major you studied in college, you often earn significantly more money than a high school graduate.

This is clear evidence for the signaling model, but time for a little bit of pushback. Caplan estimates signaling’s share at 80% of the value of education. However, this obviously changes with subject level. In the wheat-chaff section of Chapter 3 I was referring to in the last paragraph, the book states that engineers see a 20% decrease in earnings if an engineering degree holder works in a non-engineering field. But the entire premium of engineering is about 60% above HS graduates, adjusting for ability. This means a 20% drop in earnings brings us back down to 28% above HS grads. That means about 53% of engineers’ higher earnings are due to skills, since they lose half of their bonus above HS grads if they are working in a field without those skills. Not to mention there could be some skills engineers pick up that helps them in other areas, despite Caplan’s points otherwise. Of course, humanities majors are much worse for this case, since many of them see zero loss of earnings if they do not work in their field. Anthropology, liberal arts, sociology thus might be demonstrations of pure signalling. Interestingly, their college premiums are pretty close to engineers’ premiums if the engineers are working outside their field.

The point I make here isn’t that Caplan is necessarily wrong about 80%, but rather that I thought this particular discussion clarified where these numbers might be coming from and what the interaction is between my prior concept of “school teaches me useful skills” and this new concept of “school is mostly signalling”. In other words, these compensation numbers indicate that while there are some skills taught in school, large swaths of students are taking classes that do not teach many skills. Signalling may be argued as a reflection of “people study useless subjects”, rather than “school is inherently bad at transferring skills”, which may provoke outright dismissal by some readers.

Another counterpoint to Caplan is that Sheepskin Effects, the effects of graduation on earnings, may be a reflection of ability bias, rather than all signaling. This blog post discusses a possible method, where people who make it to 3 years of college and then drop out may be disproportionately people who could not complete the hardest classes, saved them for the final semesters, and then failed them, causing them not to graduate. Had they spread them out, perhaps they would have failed out earlier, dragging down first and second year benefits, while allowing third year benefits to rise.

The problem is that signalling would still make up a massive fraction of education, even if Sheepskin Effects are partially reflection of ability; Caplan doesn’t discuss professional schools, as they tend to be pretty good about teaching skills, but he also doesn’t mention that even for medical school, the vast majority of required undergraduate classes in the United States are not skill-building. Calculus, physics, and organic chemistry are not necessary for practicing medicine, yet they are still required.

The Case Against Education also discusses how you might calculate selfishly whether college or advanced degrees are worth pursuing. Caplan even includes helpful spreadsheets that you can manipulate yourself to calculate the returns to your own education.

On the other hand, the following chapter on social returns asks if perhaps there are positive externalities to education that might be helpful besides teaching people useful career skills. I found the section that it was hard to find nation-level benefits to economic growth surprising at first, but more realistic given slow US GDP growth despite higher and higher educational attainment.

There’s also a brief, but thought-provoking section in Chapter 6 regarding the impact of education on democracies and policies. Education correlates with higher political engagement, although whether that’s due to ability bias or actual impact of education is not dealt with. Instead, Caplan asserts that whether education’s impact on policy is good or bad “…the social value of participation hinges on the quality of participation”. This is a statement I strongly agree with, but I’m not sure most people would necessarily endorse. He rightly points out that the quality of participation is inseparable from the question of the quality of policy itself, which is way too big a topic for an education book. Nonetheless there is an implication that the general promotion of civic participation is not necessarily good for society, and I suspect such a notion is controversial.

Solutions

Finally, towards the end of the book, Caplan gets into his proposed solutions for the problem of signalling. The Case Against Education makes a strong argument that education doesn’t have great payoffs and wastes resources on relative signalling, and so Caplan suggests we reduce government subsidies for education. Notably, from a libertarian perspective at least, Caplan’s argument rests on the idea that the education free market itself wouldn’t be optimal, as signalling would actually cause an overconsumption of education over what is socially optimal. He actually has a section in Chapter 7 discussing if it would actually make sense to tax education. He makes the cursory libertarian argument that the government should leave people alone unless we know policy interventions will be highly successful. This is probably fair, but if we were to miraculously find ourselves in the position of having no government education subsidies, I suspect that some taxation of signalling heavy education might be socially ideal, if economically and politically untenable.

The book is also aware of how unpopular any calls to reduce education subsidies would be. Nonetheless, Caplan makes a good point that the proper response to poor education effects implies we should stop bad policy until we figure out better ones, not continue them while we debate alternatives. At the very least, college subsidies should be ended. Tuition will rise, but pushing more of the burden on students is what we want; education should only be undertaken from a social cost-benefit analysis if its benefits outweigh its costs. An excellent way to do this is to force individuals to undertake the costs, since they will be incentivized to go to college only if they can study something that will pay for it. This will negatively impact humanities enrollment, but right now much of humanities coursework is subsidized by the taxpayer and seems to be largely signalling. We should save the money.

The Case Against Education also makes the point that the poor are by far the hardest hit by credential inflation. Reducing government subsidies means the poor will have a much harder time getting to college, but it also means you should see a systemic decline in the necessity of college degrees for jobs that don’t need them.

Caplan also devotes a chapter to the benefits of vocational education, and getting young students (especially those who aren’t doing well in school) on the job experience as early as possible. I don’t have much to add, but it seems disturbingly obvious; if school doesn’t teach us much that we remember, and if there exist jobs that aren’t taught in school, but can be taught with work experience, we need to change the cultural aversion to vocational education ASAP. Additionally, I’ve been following many of my friends in medical school and, it’s incredible to me how vastly it differs from the requirements to enter medical school. Important parts of medical “school” is literally on the job apprenticing with actively working doctors, nurses, residents, etc. Meanwhile, med school undergrads spend 8 semesters learning things that are virtually useless in their planned vocation. It’s absolutely bizarre, although well explained by the signalling model.

Finally, I want to briefly discuss Caplan’s explanation for why no one else is talking about education with similar critiques. He places most of the blame on social desirability bias; basically, it’s unpopular and costs us socially if we critique popular views as incorrect. This story make some sense to me: calling for education cuts is often seen as heartless and evil, yet so are lots of calls to cut government spending, and there are plenty of libertarians and fiscal hawks that are ok with taking those views. I think a significant part of the puzzle arises from the fact that the signalling model is not widely known or understood. It’s also counterintuitive, since we have quite plausible explanations for many things signalling suggests, e.g., people with higher education get paid more because education imparts skills, no signalling model required.

Overall, this book was really interesting and has convinced me that signalling is a substantial fraction of the benefits of education. I feel like there was no definitive place where Caplan calculated exactly why he thought signalling should account for 80%, but doing some of my own calculations around education premiums for workers working inside and outside of fields where their degrees were focused, I can see how there is a chance signalling could indeed be as high as 80%. Nonetheless, even if the proportion is much lower, say only 40% or 30% that would be incredibly wasteful for a trillion dollar industry. After reading The Case Against Education, I feel that a significant cut to at least college education subisidies is probably warranted, and further research into the usefulness of education and the signalling model is vital.

 


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Book Review: Starship Troopers

I normally put my fiction book reviews on my personal blog, but after finishing Starship Troopers, I realized it fit the theme over here pretty well.  Additionally, because Robert Heinlein’s novel ended up being more thought provoking than plot driven, this post will resemble a discussion more than a review.

For starters, Starship Troopers doesn’t contain that much action anyway. Much of it takes place in flashbacks, especially involving protagonist Johnny Rico’s History and Moral Philosophy class in high school, his training camp, and eventually his time at officer candidate school. I would recommend it, as it’s a monumental book in war-based science fiction, but also the philosophy it interjects is probing. The novel does suffer slightly from what I’ll call the cliche-origin problem; reading it you may be disappointed at how unoriginal some of the future combat is, until you realize the only reason you’re so familiar with the concept of a “space marine” is because this 1959 book sculpted the concept, spawning the common sci-fi trope known today.

There’s actually an interesting gap between the book’s legacy and its content: Starship Troopers is a foundational book for futuristic warfare, yet action sequences and the technology of the future isn’t really the main thrust of the novel. Its influence is seen in classics like Ender’s Game, but the idea of soldiers in mechanized suits shows up in almost every single sci-fi war movie or videogame: for example Halo, Edge of Tomorrow, Starcraft. In some sense, Starship Troopers is interesting because it actually takes seriously the concept of space warfare and explores it. Yet the book only spends some time on action, with a heavy concentration on philosophy of warfare and training. Clearly Heinlein thought that the discussion of warfare, army psychology, training, and the relationship of society to the military was worth discussing, yet that aspect of the book is where I’d like to challenge it the most.

The question is how literally to read Starship Troopers. The book is vitally important to the genre because of its literal discussion of space wars, yet it’s undeniable that the book is a not-so-thinly-veiled critique of American policy in the Cold War against the communist threat. If we take that the book is a metaphor for how a society should organize itself for survival, does its message hold up?

Writing in 1959, the world was only a few years removed from the deadliest conflict in human history, and the U.S. was locked in an existential struggle with the Soviet Union, that many reasonable people believed would eventually lead to war, with nuclear weapons ensuring it would be a very deadly and costly one. Given the time, the apparent inexorable march of history towards deadlier and deadlier wars would have seemed obvious. The spread of communism to Eastern Europe, East Asia, and Southeast Asia had put huge swaths of the world population under communist rule. The U.S. faced existential threats, and given that reality, Heinlein created a novel where humanity faced an existential threat.

Starship Troopers is often critiqued as glorifying militarism, perhaps even fascism. I’m not sure that’s entirely accurate. Heinlein doesn’t really demonstrate that war is glorious or even good. Rico advances quickly through the ranks mostly because so many people are getting killed around him. It’s not that he wants to be a hero, but he’s forced to do a horrific and terrifying job because humanity is literally depending on the military for survival.

There’s a striking quote towards the beginning of the book from Rico’s History and Moral Philosophy teacher:

Anyone who clings to the historically untrue and thoroughly immoral doctrine that violence never settles anything I would advise to conjure up the ghosts of Napoleon Bonaparte and the Duke of Wellington and let them debate it. The ghost of Hitler could referee and the jury might well be the Dodo, the Great Auk, and the Passenger Pigeon. Violence, naked force, has settled more issues in history than has any other factor, and the contrary opinion is wishful thinking at its worst. Breeds that forget this basic truth have always paid for it with their lives and their freedoms.

The main problem I see with the book (and the thesis stated in the quote) is that communism wasn’t defeated by the grit and determination of infantrymen; it turned out that naked force wasn’t the only way to deal with a struggle of superpowers. The U.S. military went to Vietnam, where men fought and died in the thousands, or, in the case of Vietnamese civilians, hundreds of thousands. Yet that was a pretty colossal loss in the fight against communism. On the other hand, Nixon’s trip to China is generally seen as a big success, fundamentally changing China’s role in the Cold War, and leveraging Russia into negotiating arms limitations. In fact, seen from the perspective of the 1950s, the success of liberal capitalism and democracy over communism with so little conflict has to be one of the most incredible events of the past 60 years.

Given what actually happened in history, is Starship Troopers‘ message worth hearing? Did Heinlein have a realistic outlook on war and how societies can confront existential threats, or was his thinking bound and backwards-looking, stuck in the era of conventional war that the nuclear age had made obsolete? This is a hard question to answer. On the one hand, doomsayers of the early 50s predicting conflict were obviously empirically wrong. On the other, we came very close to nuclear conflict several times in the Cold War, and it’s possible we just got lucky. Conflicts have become less deadly and less common since the end of World War II. This could be a trend that continues, in which case, Heinlein’s book looks pretty dumb. Or, this somewhat conflict free time period could be a brief historical blip when America’s hegemonic power established a nice liberal world order for a few decades, which then collapsed in dramatic fashion, plunging the world into some pretty awful conflict later on. In that case, perhaps Heinlein’s worldview would prove true in the general case, if not for the exact conflict in which the book was written.

Thus, I would argue Starship Troopers, while establishing a foundational aspect of science fiction, puts forth a philosophy that has not been validated by the empirical experiences of our world. That may change, and the extent to which the reader believes conflict is inevitable is a vital factor in determining their appreciation of Heinlein’s novel.

Book Review: The Libertarian Mind

The full title of this book is The Libertarian Mind: A Manifesto for Freedom, written by David Boaz, Executive Vice President at the Cato Institute. This is actually the second edition of Libertarianism: A Primer, published in the late 90s by Boaz.

So why did I read an introductory book on libertarianism? Well, it had been a while since I’d really looked at a libertarian book, especially critically. As discussed in What is Postlibertarianism? v2.0, I’ve strayed a bit from a libertarian absolutist, and that post in an attempt to carve out a space independent from both the Right and Left, but also perhaps libertarianism itself. It seemed this might be a good time to revisit some of the basics to see if I had forgotten what had made libertarianism so appealing in the first place. David Boaz’s introduction to the political philosophy seems to be a good way to do that.

Intro and Libertarian History

The book is a solid introduction to libertarianism. Boaz discusses important libertarian talking points like the fact that the two-party political system in the US doesn’t necessarily hold all the answers. He also does a fair job tracing the history of liberalism in political philosophy, culminating in modern libertarian thinkers. That’s one of the better chapters of the book, and similarly, perhaps the most useful segment is Boaz’s recommended reading list on various libertarian topics, located in the final pages. There are literally hundreds of libertarian readings and authors mentioned, and I plan on adding a few to my future reading list.

I have never been as familiar with the pedigree of American conservatives and American progressives, and I would be curious to see what their similar reading lists or genealogy would look like.  Libertarianism included routes through Locke, Mill, Mises, Friedman, Nozick and many more. It was clearest here that while I may not agree entirely with the label of “libertarian” today, there is a broader liberal tradition, wide and powerful in scope, and it is squarely within that tradition that I find myself. 

Obviously then, I had broad strokes of agreement with this book in many areas, but I wanted to point out a few areas that I thought did a good job of applying libertarian critiques or approaches.

Positives

Boaz talks a lot about rights and rights-based approaches, which I’m not quite as excited about as I used to be (see Rules and Heuristics). Nonetheless, he makes a strong case for the consequentialist benefits of property rights: they reduce the amount of issues that must be political. Application of property rights settles disputes, allowing individuals to make choices about who they interact with and how. Alternatively, if the state is dictating policy, e.g. education policy, all education is determined by politics. Political losses then have greater effect on individual lives, since it’s often harder to opt-out of state policies you dislike.

Relatedly, the chapter on pluralism and tolerance was excellent. Also well stated was the chapter on the rule of law. This is a nebulous concept, and I think Boaz does a good job discussing the many aspects, including constitutional law, the importance of judicial activism (would have been surprising to me 8 years ago) to protect individuals from government, general warrants, regulatory loopholes for specific companies, and overcriminalization. Each of these are fairly disparate parts of law, but they are all important breaches of a uniform rule of law, and contribute to delegitimatize the state and democracy. 

The chapter on public choice theory resonated, and I especially liked the terminology of a “package deal” to refer to political candidates, and how that could be so limiting. And as you would expect from a libertarian, the discussion of free markets, price theory, opportunity costs, and free trade were pretty straightforward. One highlight included the importance of entrepreneurial profits and the value of entrepreneurs seeing value missing in the economy, taking risks, and profiting by fulfilling needs. Another was the argument that the “balance of trade” wasn’t a useful measure since it doesn’t acknowledge that by definition, goods are traded by individuals. Individuals benefit from trade because they wouldn’t take part in it otherwise. Trade balances don’t take into account international supply chains routed all over the world, simplifying imports to two countries, when value added can come from dozens.

Negatives

Now for things that didn’t quite work. The book acknowledges the fact that several of the founding fathers were slave owners. Nonetheless, since the book doesn’t spend much time on anything, it only lends a couple pages to the issue of slavery. That isn’t going to convince anyone from the social justice movement.  This is a recurring issue. Many times I did object to a point the book brought up, but there’s no time for any in-depth discussion, so most of the time I remained unconvinced.

For example, in the rule of law chapter, Boaz attacks the concept of unaccountable bureaucracy, demonstrating how bureaucratic rules can be authoritarian with no accountability. Nonetheless, elitist independent agencies could make more sense than democratic Congressional loudmouths; the alternative to bureaucracy isn’t necessarily that the government doesn’t perform that job, but that it is left to unrestrained democratic pressures. 

The book also spends some time arguing not just that welfare is expensive, but that it’s actively harmful. I’m not sure how much I agree, but welfare for the poor never seems like it should be the first priority of spending cuts; the top federal budget items are Medicare, Social Security, and Defense spending. I actually thought the discussion of mutual aid societies was intriguing although I’m not sure how well they’d work now. It was one of the better answers I’d heard of for the critique that bad things will happen if we get rid of the welfare state. Another related point: the book doesn’t state what a “good” tax level would be, just that we have high taxes now. It’s not wrong, but I found it a bit of a cop-out.

Finally, the book isn’t too concerned about inequality, like you’d expect. However, the claim was that innovative markets would constantly challenge and undermine those at the top, with new products and markets catapulting new successful entrepreneurs at the expense of the old. Again, this could be true, but there wasn’t enough time to really dig into it; certainly the Forbes top 400 richest people in the world would constantly change as markets shift over time, but would the richest 1% really be in much danger? Is it ok if they are not? Libertarians would probably also argue that market innovation and technological progress are more important than inequality (a poor person in 2018 has much more material wealth than a rich person in 1968), but are there political risks to allowing for large inequality? The book doesn’t have time to answer these critiques.

For my takeaways: the book did a bit better than I expected on pointing out that I still generally agree with the bulk of classical liberalism/libertarianism, and my critiques are more like policy tweaks than philosophical deal-breakers. However, it’s only an introductory book, and due to my knowledge in these areas, specific issues I have with libertarian orthodoxy weren’t well addressed, nor was they really meant to be.  I will definitely be looking at the extensive “For Further Reading” list for some libertarian writings on specific topics I’m concerned about. I would also state that this is a pretty good introductory book if you want 350+ pages from a representative libertarian. If you have already studied a lot of libertarian thought, I doubt you’ll find too much new here.

 


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The Age of Em

I.

I recently had the opportunity to see George Mason Professor Robin Hanson talk about his book, The Age of Em. I also was able to work my way into having a long conversation with him after his presentation.

For those who don’t know, it’s perhaps the strangest book you’ve ever heard of. Hanson looks to project forward in time when the technology exists to easily upload human brains into computer simulations. These “emulated” brains will have certain characteristics from residing in computer hardware: they can make copies of themselves, save versions of themselves for later, or delete versions of themselves. They will even be able to run faster or slower than normal human brains depending on what hardware they are running on. Hanson spends the book working through the implications of this new society. And there are a lot of fascinating insights.

Hanson discusses the pure physics of this world, as suddenly speed of light delays in communication mean a lot; if an em is running at a million times human speed, then a bad ping of 50 ms is equivalent to over 12 hours for a message to get sent today. This leads to very close physical locations of ems, which concentrates them in large cities. Their economy also grows much faster than ours due to the rapid speed at which their brains are thinking, although they may be physically restrained by how quickly the physical manufacturing of their hardware can occur. The economy also quickly moves to subsistence wages, as even the most productive members of society can have their brains copied as many times as needed to fill all roles. Elon Musk is no longer a one of kind genius, and in fact anyone who cannot compete with an Elon Musk version in their job would likely be cast aside. For a more detailed summary and examples of bizarre ideas, I recommend Part III of Scott Alexander’s post on the book.

II.

In that blog post, Scott goes on to discuss in Part IV the problem of value drift. Hanson does a good job pointing out that past human societies would not have approved of what we now consider acceptable. In some areas, the change in values in stunning. Merely 10 years ago, many had reservations about gay marriage. Merely 50 years ago, many Americans had serious reservations about interracial marriage.  On the scale of humans’ existence as a species, the amount of time we have accepted that people have the right to worship their own religion is minuscule. The section of human history where subsistence existence was not the only option is likewise small. Professor Hanson told our group that by far the most common reaction to his painting of the future was rejection.

I even asked him specifically about it: Hanson had stated several times that it was not his job or intention to make us like or hate this future, only to know about it. I pointed out that many AI researchers were very concerned about the safety of artificial intelligence and what it might do if it hits an intelligence explosion. To me, there seems to be little difference between the AI intelligence explosion and the Em economy explosion. Both would be human creations, making decisions and changing their values rapidly, at a pace that leaves most “normal” traditional physical humans behind. If many of the smartest people studying AI think that we should do a lot of work to make sure AI values line up with our own, shouldn’t we do the same thing with Ems? Hanson’s answer was basically that if we want to control the value systems of our descendants thousands of mental years in the future, well good luck with that.

Scott in Part IV of his review demonstrates the problem with just allowing this value drift to happen. Hanson calls the era we live in the “dream time” since it’s evolutionarily unusual for any species to be wealthy enough to have any values beyond “survive and reproduce”. For most of human history, there wasn’t much ability to build cities or share knowledge because too many resources were focused on survival. Today, we have become so productive and intelligent that humans have elevated Earth’s carrying capacity high above the amount of people we have. We don’t have to spend all our resources on survival and so we can come up with interesting philosophical ideas about morality and what the meaning of life is. We’ve also harnessed this evolutionary competitiveness to fuel our market economy where the determiner of what survives isn’t nature, but human desires. Unfortunately when you switch to the Age of Em, suddenly the most productive part of the economy is plunged back into a Malthusian trap with all resources going to keep the Ems alive. Fulfilling human wants may be what drives the economy, but if there are other pressures on Ems, they will be willing to sacrifice any values they have to keep themselves alive and competitive. If the economy gives up on fulfilling human demand, I wouldn’t call that a drift in values, I’d call that an absence of values.

If we live in the dream time, then we live in a unique situation where only we can comprehend and formulate higher morality and philosophical purpose. I think we should take advantage of that if we can.

III.

Hanson’s observations given his assumption that the Age of Em will happen are excellent, considering he is predicting far into the future. It’s likely things won’t work out exactly this way, as perhaps a single company will have a patent on brain scanning for a decade before the market really liberalizes; this could seriously delay the rapid economic growth Hanson sees. He acknowledges this, and keeps his book more of a prediction of what will happen if we don’t oppose this change. I’m not sure how far Hanson believes that regulation/intellectual property will not be able to thwart the age of em, but it seems that he’s more confident it will not be stopped than that it will be. This may be an economist mistake where regulation is sort of assumed away as the realm of political science. It’s not unprecedented that weird inefficient institutions would last far into the future. Intellectual property in the digital age is really weird, all things considered. Software patents especially seem like a way to patent pure logic. But there are others: banking being done with paper checks, daylight savings time, the existence of pennies, and, of course, Arby’s. There are also plenty of examples of new technologies that have evolved much faster than regulation, like supplements, e-commerce, and ride-sharing. It remains to be seen what brain emulations will be.

There is also the possibility that emulated brains won’t be the next big shift in human society. Hanson argues that this shift will rival that of the agricultural revolution and the industrial revolution. This makes a lot of sense if brain emulation is indeed the next big change. Eliezer Yudkowsky (and Scott) think this is incorrect and artificial intelligence will beat it. This seems like a real possibility. Scott points out that we often come up with technological equivalents of human biology far before actually emulating biology. This is mostly because biology has accidentally figured things out via evolution and thus it is often needlessly complicated. For example, aircraft usually fly via fixed wing aerodynamics, not by flapping. It seems likely that we will reach human level problem solving via software rather than via brain scanning. Even if we don’t, it seems likely that software could quickly optimize a simulation based on a preliminary brain scan that was too rough to get a proper brain emulation into hardware. But software assisted reconstruction could start experimenting with neuron simulation and create a software assisted brain emulation that is better designed and more specialized than any human brain emulation.

It also seems possible that other things could happen first that change human history, like very expensive climate change, a crippling pandemic (anti-biotic resistance), genetic and epigenetic engineering  and of course some technological revolution we haven’t even imagined (the unknown). Certainly if we assume continued economic growth, either brain emulation, artificial intelligence, or genetic engineering seem like likely candidates to transform humanity. Hanson thinks AI research is really overrated (he used to be an AI researcher) and isn’t progressing very fast. But he was an AI researcher about 25 years ago and we’ve seen some pretty impressive improvements in machine learning and natural language processing since then. We’ve also seen some improvement in brain emulation technology as well to be fair. Genetic engineering was hailed as the next revolution in the 1990s, but has floundered ever since. Last year though, the use of CRISPR in genome engineering has dramatically increased the feasibility of actually picking and choosing specific genes. Any of these could drastically change human society. Perhaps any genetic improvements would be overshadowed by brain emulation or AI. I guess it depends on the importance of the physical world vs the digital one.

Of course, not all changes could be from improved technology. There’s a significant risk of a global multi-drug resistant pandemic. Our overuse of antibiotics, the difficulty in making everyone stop overusing them, and our highly integrated world means we’ve created an excellent scenario for a superbug to appear and spread. Anything resembling the 1918 Spanish Flu Epidemic could be devastating to the world population and to economic growth. Climate change poses a similar risk to both life and the economy. If either of these were to happen, it could significantly deter the Age of Em from occurring or at least delay it, along with a lot of the progress of our civilization. And that’s not even mentioning additional freak natural disasters like coronal mass ejections.

Overall, predictions are very difficult and if I had to bet, I’d bet that the next big change in human civilization won’t be emulated brains. A good competitor is definitely artificial superintelligence, but when you add in genetic engineering, natural disasters, drug resistant bacterial epidemics, and so on, you have to take the field over brain emulations.

Nonetheless, this book really does make you think about the world in a different way with a perspective both more global and more forward looking. It even makes you question what it means to be human. The ins and outs of the 2016 election really fade away (despite my continued interest and blogging). Political squabbling doesn’t compare to the historical trends of human civilization and the dawn of transhumanism.


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