Keynes

The Butlerian Jihad is looking better all the time

PNRJ book reviews, cognitive science, computer science, core principles, critique of neoclassical economics, inequality, politics, public policy, tribal paradigm , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Mar 24 JDN 2460395

A review of The Age of Em by Robin Hanson

In the Dune series, the Butlerian Jihad was a holy war against artificial intelligence that resulted in a millenias-long taboo against all forms of intelligent machines. It was effectively a way to tell a story about the distant future without basically everything being about robots or cyborgs.

After reading Robin Hanson’s book, I’m starting to think that maybe we should actually do it.

Thus it is written: “Thou shalt not make a machine in the likeness of a human mind.”

Hanson says he’s trying to reserve judgment and present objective predictions without evaluation, but it becomes very clear throughout that this is the future he wants, as well as—or perhaps even instead of—the world he expects.

In many ways, it feels like he has done his very best to imagine a world of true neoclassical rational agents in perfect competition, a sort of sandbox for the toys he’s always wanted to play with. Throughout he very much takes the approach of a neoclassical economist, making heroic assumptions and then following them to their logical conclusions, without ever seriously asking whether those assumptions actually make any sense.

To his credit, Hanson does not buy into the hype that AGI will be successful any day now. He predicts that we will achieve the ability to fully emulate human brains and thus create a sort of black-box AGI that behaves very much like a human within about 100 years. Given how the Blue Brain Project has progressed (much slower than its own hype machine told us it would—and let it be noted that I predicted this from the very beginning), I think this is a fairly plausible time estimate. He refers to a mind emulated in this way as an “em”; I have mixed feelings about the term, but I suppose we did need some word for that, and it certainly has conciseness on its side.

Hanson believes that a true understanding of artificial intelligence will only come later, and the sort of AGI that can be taken apart and reprogrammed for specific goals won’t exist for at least a century after that. Both of these sober, reasonable predictions are deeply refreshing in a field that’s been full of people saying “any day now” for the last fifty years.

But Hanson’s reasonableness just about ends there.

In The Age of Em, government is exactly as strong as Hanson needs it to be. Somehow it simultaneously ensures a low crime rate among a population that doubles every few months while also having no means of preventing that population growth. Somehow ensures that there is no labor collusion and corporations never break the law, but without imposing any regulations that might reduce efficiency in any way.

All of this begins to make more sense when you realize that Hanson’s true goal here is to imagine a world where neoclassical economics is actually true.

He realized it didn’t work on humans, so instead of giving up the theory, he gave up the humans.

Hanson predicts that ems will casually make short-term temporary copies of themselves called “spurs”, designed to perform a particular task and then get erased. I guess maybe he would, but I for one would not so cavalierly create another person and then make their existence dedicated to doing a single job before they die. The fact that I created this person, and they are very much like me, seem like reasons to care more about their well-being, not less! You’re asking me to enslave and murder my own child. (Honestly, the fact that Robin Hanson thinks ems will do this all the time says more about Robin Hanson than anything else.) Any remotely sane society of ems would ban the deletion of another em under any but the most extreme circumstances, and indeed treat it as tantamount to murder.

Hanson predicts that we will only copy the minds of a few hundred people. This is surely true at some point—the technology will take time to develop, and we’ll have to start somewhere. But I don’t see why we’d stop there, when we could continue to copy millions or billions of people; and his choices of who would be emulated, while not wildly implausible, are utterly terrifying.

He predicts that we’d emulate genius scientists and engineers; okay, fair enough, that seems right. I doubt that the benefits of doing so will be as high as many people imagine, because scientific progress actually depends a lot more on the combined efforts of millions of scientists than on rare sparks of brilliance by lone geniuses; but those people are definitely very smart, and having more of them around could be a good thing. I can also see people wanting to do this, and thus investing in making it happen.

He also predicts that we’d emulate billionaires. Now, as a prediction, I have to admit that this is actually fairly plausible; billionaires are precisely the sort of people who are rich enough to pay to be emulated and narcissistic enough to want to. But where Hanson really goes off the deep end here is that he sees this as a good thing. He seems to honestly believe that billionaires are so rich because they are so brilliant and productive. He thinks that a million copies of Elon Musks would produce a million hectobillionaires—when in reality it would produce a million squabbling narcissists, who at best had to split the same $200 billion wealth between them, and might very well end up with less because they squander it.

Hanson has a long section on trying to predict the personalities of ems. Frankly this could just have been dropped entirely; it adds almost nothing to the book, and the book is much too long. But the really striking thing to me about that section is what isn’t there. He goes through a long list of studies that found weak correlations between various personality traits like extroversion or openness and wealth—mostly comparing something like the 20th percentile to the 80th percentile—and then draws sweeping conclusions about what ems will be like, under the assumption that ems are all drawn from people in the 99.99999th percentile. (Yes, upper-middle-class people are, on average, more intelligent and more conscientious than lower-middle-class people. But do we even have any particular reason to think that the personalities of people who make $150,000 are relevant to understanding the behavior of people who make $15 billion?) But he completely glosses over the very strong correlations that specifically apply to people in that very top super-rich class: They’re almost all narcissists and/or psychopaths.

Hanson predicts a world where each em is copied many, many times—millions, billions, even trillions of times, and also in which the very richest ems are capable of buying parallel processing time that lets them accelerate their own thought processes to a million times faster than a normal human. (Is that even possible? Does consciousness work like that? Who knows!?) The world that Hanson is predicting is thus one where all the normal people get outnumbered and overpowered by psychopaths.

Basically this is the most abjectly dystopian cyberpunk hellscape imaginable. And he talks about it the whole time as if it were good.

It’s like he played the game Action Potential and thought, “This sounds great! I’d love to live there!” I mean, why wouldn’t you want to owe a life-debt on your own body and have to work 120-hour weeks for a trillion-dollar corporation just to make the payments on it?

Basically, Hanson doesn’t understand how wealth is actually acquired. He is educated as an economist, yet his understanding of capitalism basically amounts to believing in magic. He thinks that competitive markets just somehow perfectly automatically allocate wealth to whoever is most productive, and thus concludes that whoever is wealthy now must just be that productive.

I can see no other way to explain his wildly implausible predictions that the em economy will double every month or two. A huge swath of the book depends upon this assumption, but he waits until halfway through the book to even try to defend it, and then does an astonishingly bad job of doing so. (Honestly, even if you buy his own arguments—which I don’t—they seem to predict that population would grow with Moore’s Law—doubling every couple of years, not every couple of months.)

Whereas Keynes predicted based on sound economic principles that economic growth would more or less proceed apace and got his answer spot-on, Hanson predicts that for mysterious, unexplained reasons economic growth will suddenly increase by two orders of magnitude—and I’m pretty sure he’s going to be wildly wrong.

Hanson also predicts that ems will be on average poorer than we are, based on some sort of perfect-competition argument that doesn’t actually seem to mesh at all with his predictions of spectacularly rapid economic and technological growth. I think the best way to make sense of this is to assume that it means the trend toward insecure affluence will continue: Ems will have an objectively high standard of living in terms of what they own, what games they play, where they travel, and what they eat and drink (in simulation), but they will constantly be struggling to keep up with the rent on their homes—or even their own bodies. This is a world where (the very finest simulation of) Dom Perignon is $7 a bottle and wages are $980 an hour—but monthly rent is $284,000.

Early in the book Hanson argues that this life of poverty and scarcity will lead to more conservative values, on the grounds that people who are poorer now seem to be more conservative, and this has something to do with farmers versus foragers. Hanson’s explanation of all this is baffling; I will quote it at length, just so it’s clear I’m not misrepresenting it:

The other main (and independent) axis of value variation ranges between poor and rich societies. Poor societies place more value on conformity, security, and traditional values such as marriage, heterosexuality, religion, patriotism, hard work, and trust in authority. In contrast, rich societies place more value on individualism, self-direction, tolerance, pleasure, nature, leisure, and trust. When the values of individuals within a society vary on the same axis, we call this a left/liberal (rich) versus right/conservative (poor) axis.

Foragers tend to have values more like those of rich/liberal people today, while subsistence farmers tend to have values more like those of poor/conservative people today. As industry has made us richer, we have on average moved from conservative/farmer values to liberal/forager values. This value movement can make sense if cultural evolution used the social pressures farmers faced, such as conformity and religion, to induce humans, who evolved to find forager behaviors natural, to instead act like farmers. As we become rich, we don’t as strongly fear the threats behind these social pressures. This connection may result in part from disease; rich people are healthier, and healthier societies fear less.

The alternate theory that we have instead learned that rich forager values are more true predicts that values should have followed a random walk over time, and be mostly common across space. It also predicts the variance of value changes tracking the rate at which relevant information appears. But in fact industrial-era value changes have tracked the wealth of each society in much more steady and consistent fashion. And on this theory, why did foragers ever acquire farmer values?

[…]

In the scenario described in this book, many strange-to-forager behaviors are required, and median per-person (i.e. per-em) incomes return to near-subsistence levels. This suggests that the em era may reverse the recent forager-like trend toward more liberality; ems may have more farmer-like values.

The Age of Em, p. 26-27

There’s a lot to unpack here, but maybe it’s better to burn the whole suitcase.

First of all, it’s not entirely clear that this is really a single axis of variation, that foragers and farmers differ from each other in the same way as liberals and conservatives. There’s some truth to that at least—both foragers and liberals tend to be more generous, both farmers and conservatives tend to enforce stricter gender norms. But there are also clear ways that liberal values radically deviate from forager values: Forager societies are extremely xenophobic, and typically very hostile to innovation, inequality, or any attempts at self-aggrandizement (a phenomenon called “fierce egalitarianism“). San Francisco epitomizes rich, liberal values, but it would be utterly alien and probably regarded as evil by anyone from the Yanomamo.

Second, there is absolutely no reason to predict any kind of random walk. That’s just nonsense. Would you predict that scientific knowledge is a random walk, with each new era’s knowledge just a random deviation from the last’s? Maybe next century we’ll return to geocentrism, or phrenology will be back in vogue? On the theory that liberal values (or at least some liberal values) are objectively correct, we would expect them to advance as knowledge does—improving over time, and improving faster in places that have better institutions for research, education, and free expression. And indeed, this is precisely the pattern we have observed. (Those places are also richer, but that isn’t terribly surprising either!)

Third, while poorer regions are indeed more conservative, poorer people within a region actually tend to be more liberal. Nigeria is poorer and more conservative than Norway, and Mississippi is poorer and more conservative than Massachusetts. But higher-income households in the United States are more likely to vote Republican. I think this is particularly true of people living under insecure affluence: We see the abundance of wealth around us, and don’t understand why we can’t learn to share it better. We’re tired of fighting over scraps while the billionaires claim more and more. Millennials and Zoomers absolutely epitomize insecure affluence, and we also absolutely epitomize liberalism. So, if indeed ems live a life of insecure affluence, we should expect them to be like Zoomers: “Trans liberation now!” and “Eat the rich!” (Or should I say, “Delete the rich!”)

And really, doesn’t that make more sense? Isn’t that the trend our society has been on, for at least the last century? We’ve been moving toward more and more acceptance of women and minorities, more and more deviation from norms, more and more concern for individual rights and autonomy, more and more resistance to authority and inequality.

The funny thing is, that world sounds a lot better than the one Hanson is predicting.

A world of left-wing ems would probably run things a lot better than Hanson imagines: Instead of copying the same hundred psychopaths over and over until we fill the planet, have no room for anything else, and all struggle to make enough money just to stay alive, we could moderate our population to a more sustainable level, preserve diversity and individuality, and work toward living in greater harmony with each other and the natural world. We could take this economic and technological abundance and share it and enjoy it, instead of killing ourselves and each other to make more of it for no apparent reason.

The one good argument Hanson makes here is expressed in a single sentence: “And on this theory, why did foragers ever acquire farmer values?” That actually is a good question; why did we give up on leisure and egalitarianism when we transitioned from foraging to agriculture?

I think scarcity probably is relevant here: As food became scarcer, maybe because of climate change, people were forced into an agricultural lifestyle just to have enough to eat. Early agricultural societies were also typically authoritarian and violent. Under those conditions, people couldn’t be so generous and open-minded; they were surrounded by threats and on the verge of starvation.

I guess if Hanson is right that the em world is also one of poverty and insecurity, we might go back to those sort of values, borne of desperation. But I don’t see any reason to think we’d give up all of our liberal values. I would predict that ems will still be feminist, for instance; in fact, Hanson himself admits that since VR avatars would let us change gender presentation at will, gender would almost certainly become more fluid in a world of ems. Far from valuing heterosexuality more highly (as conservatives do, a “farmer value” according to Hanson), I suspect that ems will have no further use for that construct, because reproduction will be done by manufacturing, not sex, and it’ll be so easy to swap your body into a different one that hardly anyone will even keep the same gender their whole life. They’ll think it’s quaint that we used to identify so strongly with our own animal sexual dimorphism.

But maybe it is true that the scarcity induced by a hyper-competitive em world would make people more selfish, less generous, less trusting, more obsessed with work. Then let’s not do that! We don’t have to build that world! This isn’t a foregone conclusion!

There are many other paths yet available to us.

Indeed, perhaps the simplest would be to just ban artificial intelligence, at least until we can get a better handle on what we’re doing—and perhaps until we can institute the kind of radical economic changes necessary to wrest control of the world away from the handful of psychopaths currently trying their best to run it into the ground.

I admit, it would kind of suck to not get any of the benefits of AI, like self-driving cars, safer airplanes, faster medical research, more efficient industry, and better video games. It would especially suck if we did go full-on Butlerian Jihad and ban anything more complicated than a pocket calculator. (Our lifestyle might have to go back to what it was in—gasp! The 1950s!)

But I don’t think it would suck nearly as much as the world Robin Hanson thinks is in store for us if we continue on our current path.

So I certainly hope he’s wrong about all this.

Fortunately, I think he probably is.

Keynesian economics: It works, bitches

PNRJ current events, macroeconomics, public policy , , , , ,

Jan 23 JDN 2459613

(I couldn’t resist; for the uninitiated, my slightly off-color title is referencing this XKCD comic.)

When faced with a bad recession, Keynesian economics prescribes the following response: Expand the money supply. Cut interest rates. Increase government spending, but decrease taxes. The bigger the recession, the more we should do all these things—especially increasing spending, because interest rates will often get pushed to zero, creating what’s called a liquidity trap.

Take a look at these two FRED graphs, both since the 1950s.
The first is interest rates (specifically the Fed funds effective rate):

The second is the US federal deficit as a proportion of GDP:

Interest rates were pushed to zero right after the 2008 recession, and didn’t start coming back up until 2016. Then as soon as we hit the COVID recession, they were dropped back to zero.

The deficit looks even more remarkable. At the 2009 trough of the recession, the deficit was large, nearly 10% of GDP; but then it was quickly reduced back to normal, to between 2% and 4% of GDP. And that initial surge is as much explained by GDP and tax receipts falling as by spending increasing.

Yet in 2020 we saw something quite different: The deficit became huge. Literally off the chart, nearly 15% of GDP. A staggering $2.8 trillion. We’ve not had a deficit that large as a proportion of GDP since WW2. We’ve never had a deficit that large in real billions of dollars.

Deficit hawks came out of the woodwork to complain about this, and for once I was worried they might actually be right. Their most credible complaint was that it would trigger inflation, and they weren’t wrong about that: Inflation became a serious concern for the first time in decades.

But these recessions were very large, and when you actually run the numbers, this deficit was the correct magnitude for what Keynesian models tell us to do. I wouldn’t have thought our government had the will and courage to actually do it, but I am very glad to have been wrong about that, for one very simple reason:

It worked.

In 2009, we didn’t actually fix the recession. We blunted it; we stopped it from getting worse. But we never really restored GDP, we just let it get back to its normal growth rate after it had plummeted, and eventually caught back up to where we had been.

2021 went completely differently. With a much larger deficit, we fixed this recession. We didn’t just stop the fall; we reversed it. We aren’t just back to normal growth rates—we are back to the same level of GDP, as if the recession had never happened.

This contrast is quite obvious from the GDP of US GDP:

In 2008 and 2009, GDP slumps downward, and then just… resumes its previous trend. It’s like we didn’t do anything to fix the recession, and just allowed the overall strong growth of our economy to carry us through.

The pattern in 2020 is completely different. GDP plummets downward—much further, much faster than in the Great Recession. But then it immediately surges back upward. By the end of 2021, it was above its pre-recession level, and looks to be back on its growth trend. With a recession this deep, if we’d just waited like we did last time, it would have taken four or five years to reach this point—we actually did it in less than one.

I wrote earlier about how this is a weird recession, one that actually seems to fit Real Business Cycle theory. Well, it was weird in another way as well: We fixed it. We actually had the courage to do what Keynes told us to do in 1936, and it worked exactly as it was supposed to.

Indeed, to go from unemployment almost 15% in April of 2020 to under 4% in December of 2021 is fast enough I feel like I’m getting whiplash. We have never seen unemployment drop that fast. Krugman is fond of comparing this to “morning in America”, but that’s really an understatement. Pitch black one moment, shining bright the next: this isn’t a sunrise, it’s pulling open a blackout curtain.

And all of this while the pandemic is still going on! The omicron variant has brought case numbers to their highest levels ever, though fortunately death rates so far are still below last year’s peak.

I’m not sure I have the words to express what a staggering achievement of economic policy it is to so rapidly and totally repair the economic damage caused by a pandemic while that pandemic is still happening. It’s the equivalent of repairing an airplane that is not only still in flight, but still taking anti-aircraft fire.

Why, it seems that Keynes fellow may have been onto something, eh?

Strange times for the labor market

PNRJ current events, inequality, macroeconomics , , , , , ,

Jan 9 JDN 2459589

Labor markets have been behaving quite strangely lately, due to COVID and its consequences. As I said in an earlier post, the COVID recession was the one recession I can think of that actually seemed to follow Real Business Cycle theory—where it was labor supply, not demand, that drove employment.

I dare say that for the first time in decades, the US government actually followed Keynesian policy. US federal government spending surged from $4.8 trillion to $6.8 trillion in a single year:

That is a staggering amount of additional spending; I don’t think any country in history has ever increased their spending by that large an amount in a single year, even inflation-adjusted. Yet in response to a recession that severe, this is exactly what Keynesian models prescribed—and for once, we listened. Instead of balking at the big numbers, we went ahead and spent the money.

And apparently it worked, because unemployment spiked to the worst levels seen since the Great Depression, then suddenly plummeted back to normal almost immediately:

Nor was this just the result of people giving up on finding work. U-6, the broader unemployment measure that includes people who are underemployed or have given up looking for work, shows the same unprecedented pattern:

The oddest part is that people are now quitting their jobs at the highest rate seen in over 20 years:

[FRED_quits.png]

This phenomenon has been dubbed the Great Resignation, and while its causes are still unclear, it is clearly the most important change in the labor market in decades.

In a previous post I hypothesized that this surge in strikes and quits was a coordination effect: The sudden, consistent shock to all labor markets at once gave people a focal point to coordinate their decision to strike.

But it’s also quite possible that it was the Keynesian stimulus that did it: The relief payments made it safe for people to leave jobs they had long hated, and they leapt at the opportunity.

When that huge surge in government spending was proposed, the usual voices came out of the woodwork to warn of terrible inflation. It’s true, inflation has been higher lately than usual, nearly 7% last year. But we still haven’t hit the double-digit inflation rates we had in the late 1970s and early 1980s:

Indeed, most of the inflation we’ve had can be explained by the shortages created by the supply chain crisis, along with a very interesting substitution effect created by the pandemic. As services shut down, people bought goods instead: Home gyms instead of gym memberships, wifi upgrades instead of restaurant meals.

As a result, the price of durable goods actually rose, when it had previously been falling for decades. That broader pattern is worth emphasizing: As technology advances, services like healthcare and education get more expensive, durable goods like phones and washing machines get cheaper, and nondurable goods like food and gasoline fluctuate but ultimately stay about the same. But in the last year or so, durable goods have gotten more expensive too, because people want to buy more while supply chains are able to deliver less.

This suggests that the inflation we are seeing is likely to go away in a few years, once the pandemic is better under control (or else reduced to a new influenza where the virus is always there but we learn to live with it).

But I don’t think the effects on the labor market will be so transitory. The strikes and quits we’ve been seeing lately really are at a historic level, and they are likely to have a long-lasting effect on how work is organized. Employers are panicking about having to raise wages and whining about how “no one wants to work” (meaning, of course, no one wants to work at the current wage and conditions on offer). The correct response is the one from Goodfellas [language warning].

For the first time in decades, there are actually more job vacancies than unemployed workers:

This means that the tables have turned. The bargaining power is suddenly in the hands of workers again, after being in the hands of employers for as long as I’ve been alive. Of course it’s impossible to know whether some other shock could yield another reversal; but for now, it looks like we are finally on the verge of major changes in how labor markets operate—and I for one think it’s about time.

Economic Possibilities for Ourselves

PNRJ core principles, critique of neoclassical economics, development economics, ethics, futurism, inequality, public policy , , , , , , ,

May 2 JDN 2459335

In 1930, John Maynard Keynes wrote one of the greatest essays ever written on economics, “Economic Possibilities for our Grandchildren.” You can read it here.


In that essay he wrote:

“I would predict that the standard of life in progressive countries one hundred years hence will be between four and eight times as high as it is.”

US population in 1930: 122 million; US real GDP in 1930: $1.1 trillion. Per-capita GDP: $9,000

US population in 2020: 329 million; US real GDP in 2020: $18.4 trillion. Per-capita GDP: $56,000

That’s a factor of 6. Keynes said 4 to 8; that makes his estimate almost perfect. We aren’t just inside his error bar, we’re in the center of it. If anything he was under-confident. Of course we still have 10 years left before a full century has passed: At a growth rate of 1% in per-capita GDP, that will make the ratio closer to 7—still well within his confidence interval.

I’d like to take a moment to marvel at how good this estimate is. Keynes predicted the growth rate of the entire US economy one hundred years in the future to within plus or minus 30%, and got it right.

With this in mind, it’s quite astonishing what Keynes got wrong in his essay.


The point of the essay is that what Keynes calls “the economic problem” will soon be solved. By “the economic problem”, he means the scarcity of resources that makes it impossible for everyone in the world to make a decent living. Keynes predicts that by 2030—so just a few years from now—humanity will have effectively solved this problem, and we will live in a world where everyone can live comfortably with adequate basic necessities like shelter, food, water, clothing, and medicine.

He laments that with the dramatically higher productivity that technological advancement brings, we will be thrust into a life of leisure that we are unprepared to handle. Evolved for a world of scarcity, we built our culture around scarcity, and we may not know what to do with ourselves in a world of abundance.

Keynes sounds his most naive when he imagines that we would spread out our work over more workers each with fewer hours:

“For many ages to come the old Adam will be so strong in us that everybody will need to do some work if he is to be contented. We shall do more things for ourselves than is usual with the rich today, only too glad to have small duties and tasks and routines. But beyond this, we shall endeavour to spread the bread thin on the butter-to make what work there is still to be done to be as widely shared as possible. Three-hour shifts or a fifteen-hour week may put off the problem for a great while. For three hours a day is quite enough to satisfy the old Adam in most of us!”

Plainly that is nothing like what happened. Americans do on average work fewer hours today than we did in the past, but not by anything like this much: average annual hours fell from about 1,900 in 1950 to about 1,700 today. Where Keynes was predicting a drop of 60%, the actual drop was only about 10%.

Here’s another change Keynes predicted that I wish we’d made, but we certainly haven’t:

“When the accumulation of wealth is no longer of high social importance, there will be great changes in the code of morals. We shall be able to rid ourselves of many of the pseudo-moral principles which have hag-ridden us for two hundred years, by which we have exalted some of the most distasteful of human qualities into the position of the highest virtues. We shall be able to afford to dare to assess the money-motive at its true value. The love of money as a possession—as distinguished from the love of money as a means to the enjoyments and realities of life—will be recognised for what it is, a somewhat disgusting morbidity, one of those semicriminal, semi-pathological propensities which one hands over with a shudder to the specialists in mental disease.”

Sadly, people still idolize Jeff Bezos and Elon Musk just as much their forebears idolized Henry Ford or Andrew Carnegie. And really there’s nothing semi- about it: The acquisition of billions of dollars by exploiting others is clearly indicative of narcissism if not psychopathy.

It’s not that we couldn’t have made the world that Keynes imagined. There’s plenty of stuff—his forecast for our per-capita GDP was impeccable. But when we automated away all of the most important work, Keynes thought we would turn to lives of leisure, exploring art, music, literature, film, games, sports. But instead we did something he did not anticipate: We invented new kinds of work.

This would be fine if the new work we invented is genuinely productive; and some of it is, no doubt. Keynes could not have anticipated the emergence of 3D graphics designers, smartphone engineers, or web developers, but these jobs do genuinely productive and beneficial work that makes use of our extraordinary new technologies.

But think for a moment about Facebook and Google, now two of the world’s largest and most powerful corporations. What do they sell? Think carefully! Facebook doesn’t sell social media. Google doesn’t sell search algorithms. Those are services they provide as platforms for what they actually sell: Advertising.

That is, some of the most profitable, powerful corporations in the world today make all of their revenue entirely from trying to persuade people to buy things they don’t actually need. The actual benefits they provide to humanity are sort of incidental; they exist to provide an incentive to look at the ads.

Paul Krugman often talks about Solow’s famous remark that “computers showed up everywhere but the productivity statistics”; aggregate productivity growth has, if anything, been slower in the last 40 years than in the previous 40.

But this aggregate is a very foolish measure. It’s averaging together all sorts of work into one big lump.

If you look specifically at manufacturing output per worker—the sort of thing you’d actually expect to increase due to automation—it has in fact increased, at breakneck speed: The average American worker produced four times as much output per hour in 2000 as in 1950.

The problem is that instead of splitting up the manufacturing work to give people free time, we moved them all into services—which have not meaningfully increased their productivity in the same period. The average growth rate in multifactor productivity in the service industries since the 1970s has been a measly 0.2% per year, meaning that our total output per worker in service industries is only 10% higher than it was in 1970.

While our population is more than double what it was in 1950, our total manufacturing employment is now less than it was in 1950. Our employment in services is four times what it was in 1950. We moved everyone out of the sector that actually got more productive and stuffed them into the sector that didn’t.

This is why the productivity statistics are misleading. Suppose we had 100 workers, and 2 industries.

Initially, in manufacturing, each worker can produce goods worth $20 per hour. In services, each worker can only produce services worth $10 per hour. 50 workers work in each industry, so average productivity is (50*$20+50*$10)/100 = $15 per hour.

Then, after new technological advances, productivity in manufacturing increases to $80 per hour, but people don’t actually want to spend that much on manufactured good. So 30 workers from manufacturing move over to services, which still only produce $10 per hour. Now total productivity is (20*$80+80*$10)/100 = $24 per hour.

Overall productivity now appears to only have risen 60% over that time period (in 50 years this would be 0.9% per year), but in fact it rose 300% in manufacturing (2.2% per year) but 0% in services. What looks like anemic growth in productivity is actually a shift of workers out of the productive sectors into the unproductive sectors.

Keynes imagined that once we had made manufacturing so efficient that everyone could have whatever appliances they like, we’d give them the chance to live their lives without having to work. Instead, we found jobs for them—in large part, jobs that didn’t need doing.

Advertising is the clearest example: It’s almost pure rent-seeking, and if it were suddenly deleted from the universe almost everyone would actually be better off.

But there are plenty of other jobs, what the late David Graeber called “bullshit jobs”, that have the same character: Sales, consulting, brokering, lobbying, public relations, and most of what goes on in management, law and finance. Graeber had a silly theory that we did this on purpose either to make the rich feel important or to keep people working so they wouldn’t question the existing system. The real explanation is much simpler: These jobs are rent-seeking. They do make profits for the corporations that employ them, but they contribute little or nothing to human society as a whole.

I’m not sure how surprised Keynes would be by this outcome. In parts of the essay he acknowledges that the attitude which considers work a virtue and idleness a vice is well-entrenched in our society, and seems to recognize that the transition to a world where most people work very little is one that would be widely resisted. But his vision of what the world would be like in the early 21st century does now seem to be overly optimistic, not in its forecasts of our productivity and output—which, I really cannot stress enough, were absolutely spot on—but in its predictions of how society would adapt to that abundance.

It seems that most people still aren’t quite ready to give up on a world built around jobs. Most people still think of a job as the primary purpose of an adult’s life, that someone who isn’t working for an employer is somehow wasting their life and free-riding on everyone else.

In some sense this is perhaps true; but why is it more true of someone living on unemployment than of someone who works in marketing, or stock brokering, or lobbying, or corporate law? At least people living on unemployment aren’t actively making the world worse. And since unemployment pays less than all but the lowest-paying jobs, the amount of resources that are taken up by people on unemployment is considerably less than the rents which are appropriated by industries like consulting and finance.

Indeed, whenever you encounter a billionaire, there’s one thing you know for certain: They are very good at rent-seeking. Whether by monopoly power, or exploitation, or outright corruption, all the ways it’s possible to make a billion dollars are forms of rent-seeking. And this is for a very simple and obvious reason: No one can possibly work so hard and be so productive as to actually earn a billion dollars. No one’s real opportunity cost is actually that high—and the difference between income and real opportunity cost is by definition economic rent.

If we’re truly concerned about free-riding on other people’s work, we should really be thinking in terms of the generations of scientists and engineers before us who made all of this technology possible, as well as the institutions and infrastructure that have bequeathed us a secure stock of capital. You didn’t build that applies to all of us: Even if all the necessary raw materials were present, none of us could build a smartphone by hand alone on a desert island. Most of us couldn’t even sew a pair of pants or build a house—though that is at least the sort of thing that it’s possible to do by hand.

But in fact I think free-riding on our forebears is a perfectly acceptable activity. I am glad we do it, and I hope our descendants do it to us. I want to build a future where life is better than it is now; I want to leave the world better than we found it. If there were some way to inter-temporally transfer income back to the past, I suppose maybe we ought to do so—but as far as we know, there isn’t. Nothing can change the fact that most people were desperately poor for most of human history.

What we now have the power to decide is what will happen to people in the future: Will we continue to maintain this system where our wealth is decided by our willingness to work for corporations, at jobs that may be utterly unnecessary or even actively detrimental? Or will we build a new system, one where everyone gets the chance to share in the abundance that our ancestors have given us and each person gets the chance to live their life in the way that they find most meaningful?

Keynes imagined a bright future for the generation of his grandchildren. We now live in that generation, and we have precisely the abundance of resources he predicted we would. Can we now find a way to build that bright future?

Is Equal Unfair?

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JDN 2457492

Much as you are officially a professional when people start paying you for what you do, I think you are officially a book reviewer when people start sending you books for free asking you to review them for publicity. This has now happened to me, with the book Equal Is Unfair by Don Watkins and Yaron Brook. This post is longer than usual, but in order to be fair to the book’s virtues as well as its flaws, I felt a need to explain quite thoroughly.

It’s a very frustrating book, because at times I find myself agreeing quite strongly with the first part of a paragraph, and then reaching the end of that same paragraph and wanting to press my forehead firmly into the desk in front of me. It makes some really good points, and for the most part uses economic statistics reasonably accurately—but then it rides gleefully down a slippery slope fallacy like a waterslide. But I guess that’s what I should have expected; it’s by leaders of the Ayn Rand Institute, and my experience with reading Ayn Rand is similar to that of Randall Monroe (I’m mainly referring to the alt-text, which uses slightly foul language).

As I kept being jostled between “That’s a very good point.”, “Hmm, that’s an interesting perspective.”, and “How can anyone as educated as you believe anything that stupid!?” I realized that there are actually three books here, interleaved:

1. A decent economics text on the downsides of taxation and regulation and the great success of technology and capitalism at raising the standard of living in the United States, which could have been written by just about any mainstream centrist neoclassical economist—I’d say it reads most like John Taylor or Ken Galbraith. My reactions to this book were things like “That’s a very good point.”, and “Sure, but any economist would agree with that.”

2. An interesting philosophical treatise on the meanings of “equality” and “opportunity” and their application to normative economic policy, as well as about the limitations of statistical data in making political and ethical judgments. It could have been written by Robert Nozick (actually I think much of it was based on Robert Nozick). Some of the arguments are convincing, others are not, and many of the conclusions are taken too far; but it’s well within the space of reasonable philosophical arguments. My reactions to this book were things like “Hmm, that’s an interesting perspective.” and “Your argument is valid, but I think I reject the second premise.”

3. A delusional rant of the sort that could only be penned by a True Believer in the One True Gospel of Ayn Rand, about how poor people are lazy moochers, billionaires are world-changing geniuses whose superior talent and great generosity we should all bow down before, and anyone who would dare suggest that perhaps Steve Jobs got lucky or owes something to the rest of society is an authoritarian Communist who hates all achievement and wants to destroy the American Dream. It was this book that gave me reactions like “How can anyone as educated as you believe anything that stupid!?” and “You clearly have no idea what poverty is like, do you?” and “[expletive] you, you narcissistic ingrate!”

Given that the two co-authors are Executive Director and a fellow of the Ayn Rand Institute, I suppose I should really be pleasantly surprised that books 1 and 2 exist, rather than disappointed by book 3.

As evidence of each of the three books interleaved, I offer the following quotations:

Book 1:

“All else being equal, taxes discourage production and prosperity.” (p. 30)

No reasonable economist would disagree. The key is all else being equal—it rarely is.

“For most of human history, our most pressing problem was getting enough food. Now food is abundant and affordable.” (p.84)

Correct! And worth pointing out, especially to anyone who thinks that economic progress is an illusion or we should go back to pre-industrial farming practices—and such people do exist.

“Wealth creation is first and foremost knowledge creation. And this is why you can add to the list of people who have created the modern world, great thinkers: people such as Euclid, Aristotle, Galileo, Newton, Darwin, Einstein, and a relative handful of others.” (p.90, emph. in orig.)

Absolutely right, though as I’ll get to below there’s something rather notable about that list.

“To be sure, there is competition in an economy, but it’s not a zero-sum game in which some have to lose so that others can win—not in the big picture.” (p. 97)

Yes! Precisely! I wish I could explain to more people—on both the Left and the Right, by the way—that economics is nonzero-sum, and that in the long run competitive markets improve the standard of living of society as a whole, not just the people who win that competition.

Book 2:

“Even opportunities that may come to us without effort on our part—affluent parents, valuable personal connections, a good education—require enormous effort to capitalize on.” (p. 66)

This is sometimes true, but clearly doesn’t apply to things like the Waltons’ inherited billions, for which all they had to do was be born in the right family and not waste their money too extravagantly.

“But life is not a game, and achieving equality of initial chances means forcing people to play by different rules.” (p. 79)

This is an interesting point, and one that I think we should acknowledge; we must treat those born rich differently from those born poor, because their unequal starting positions mean that treating them equally from this point forward would lead to a wildly unfair outcome. If my grandfather stole your grandfather’s wealth and passed it on to me, the fair thing to do is not to treat you and I equally from this point forward—it’s to force me to return what was stolen, insofar as that is possible. And even if we suppose that my grandfather earned far vaster wealth than yours, I think a more limited redistribution remains justified simply to put you and I on a level playing field and ensure fair competition and economic efficiency.

“The key error in this argument is that it totally mischaracterizes what it means to earn something. For the egalitarians, the results of our actions don’t merely have to be under our control, but entirely of our own making. […] But there is nothing like that in reality, and so what the egalitarians are ultimately doing is wiping out the very possibility of earning something.” (p. 193)

The way they use “egalitarian” as an insult is a bit grating, but there clearly are some actual egalitarian philosophers whose views are this extreme, such as G.A. Cohen, James Kwak and Peter Singer. I strongly agree that we need to make a principled distinction between gains that are earned and gains that are unearned, such that both sets are nonempty. Yet while Cohen would seem to make “earned” an empty set, Watkins and Brook very nearly make “unearned” empty—you get what you get, and you deserve it. The only exceptions they seem willing to make are outright theft and, what they consider equivalent, taxation. They have no concept of exploitation, excessive market power, or arbitrage—and while they claim they oppose fraud, they seem to think that only government is capable of it.

Book 3:

“What about government handouts (usually referred to as ‘transfer payments’)?” (p. 23)

Because Social Security is totally just a handout—it’s not like you pay into it your whole life or anything.

“No one cares whether the person who fixes his car or performs his brain surgery or applies for a job at his company is male or female, Indian or Pakistani—he wants to know whether they are competent.” (p.61)

Yes they do. We have direct experimental evidence of this.

“The notion that ‘spending drives the economy’ and that rich people spend less than others isn’t a view seriously entertained by economists,[…]” (p. 110)

The New Synthesis is Keynesian! This is what Milton Friedman was talking about when he said, “We’re all Keynesians now.”

“Because mobility statistics don’t distinguish between those who don’t rise and those who can’t, they are useless when it comes to assessing how healthy mobility is.” (p. 119)

So, if Black people have much lower odds of achieving high incomes even controlling for education, we can’t assume that they are disadvantaged or discriminated against; maybe Black people are just lazy or stupid? Is that what you’re saying here? (I think it might be.)

“Payroll taxes alone amount to 15.3 percent of your income; money that is taken from you and handed out to the elderly. This means that you have to spend more than a month and a half each year working without pay in order to fund other people’s retirement and medical care.” (p. 127)

That is not even close to how taxes work. Taxes are not “taken” from money you’d otherwise get—taxation changes prices and the monetary system depends upon taxation.

“People are poor, in the end, because they have not created enough wealth to make themselves prosperous.” (p. 144)

This sentence was so awful that when I showed it to my boyfriend, he assumed it must be out of context. When I showed him the context, he started swearing the most I’ve heard him swear in a long time, because the context was even worse than it sounds. Yes, this book is literally arguing that the reason people are poor is that they’re just too lazy and stupid to work their way out of poverty.

“No society has fully implemented the egalitarian doctrine, but one came as close as any society can come: Cambodia’s Khmer Rouge.” (p. 207)

Because obviously the problem with the Khmer Rouge was their capital gains taxes. They were just too darn fair, and if they’d been more selfish they would never have committed genocide. (The authors literally appear to believe this.)

 

So there are my extensive quotations, to show that this really is what the book is saying. Now, a little more summary of the good, the bad, and the ugly.

One good thing is that the authors really do seem to understand fairly well the arguments of their opponents. They quote their opponents extensively, and only a few times did it feel meaningfully out of context. Their use of economic statistics is also fairly good, though occasionally they present misleading numbers or compare two obviously incomparable measures.

One of the core points in Equal is Unfair is quite weak: They argue against the “shared-pie assumption”, which is that we create wealth as a society, and thus the rest of society is owed some portion of the fruits of our efforts. They maintain that this is fundamentally authoritarian and immoral; essentially they believe a totalizing false dichotomy between either absolute laissez-faire or Stalinist Communism.

But the “shared-pie assumption” is not false; we do create wealth as a society. Human cognition is fundamentally social cognition; they said themselves that we depend upon the discoveries of people like Newton and Einstein for our way of life. But it should be obvious we can never pay Einstein back; so instead we must pay forward, to help some child born in the ghetto to rise to become the next Einstein. I agree that we must build a society where opportunity is maximized—and that means, necessarily, redistributing wealth from its current state of absurd and immoral inequality.

I do however agree with another core point, which is that most discussions of inequality rely upon a tacit assumption which is false: They call it the “fixed-pie assumption”.

When you talk about the share of income going to different groups in a population, you have to be careful about the fact that there is not a fixed amount of wealth in a society to be distributed—not a “fixed pie” that we are cutting up and giving around. If it were really true that the rising income share of the top 1% were necessary to maximize the absolute benefits of the bottom 99%, we probably should tolerate that, because the alternative means harming everyone. (In arguing this they quote John Rawls several times with disapprobation, which is baffling because that is exactly what Rawls says.)

Even if that’s true, there is still a case to be made against inequality, because too much wealth in the hands of a few people will give them more power—and unequal power can be dangerous even if wealth is earned, exchanges are uncoerced, and the distribution is optimally efficient. (Watkins and Brook dismiss this contention out of hand, essentially defining beneficent exploitation out of existence.)

Of course, in the real world, there’s no reason to think that the ballooning income share of the top 0.01% in the US is actually associated with improved standard of living for everyone else.

I’ve shown these graphs before, but they bear repeating:

Income shares for the top 1% and especially the top 0.1% and 0.01% have risen dramatically in the last 30 years.

top_income_shares_adjusted

But real median income has only slightly increased during the same period.

US_median_household_income

Thus, mean income has risen much faster than median income.

median_mean

While theoretically it could be that the nature of our productivity technology has shifted in such a way that it suddenly became necessary to heap more and more wealth on the top 1% in order to continue increasing national output, there is actually very little evidence of this. On the contrary, as Joseph Stiglitz (Nobel Laureate, you may recall) has documented, the leading cause of our rising inequality appears to be a dramatic increase in rent-seeking, which is to say corruption, exploitation, and monopoly power. (This probably has something to do with why I found in my master’s thesis that rising top income shares correlate quite strongly with rising levels of corruption.)

Now to be fair, the authors of Equal is Unfair do say that they are opposed to rent-seeking, and would like to see it removed. But they have a very odd concept of what rent-seeking entails, and it basically seems to amount to saying that whatever the government does is rent-seeking, whatever corporations do is fair free-market competition. On page 38 they warn us not to assume that government is good and corporations are bad—but actually it’s much more that they assume that government is bad and corporations are good. (The mainstream opinion appears to be actually that both are bad, and we should replace them both with… er… something.)

They do make some other good points I wish more leftists would appreciate, such as the point that while colonialism and imperialism can damage countries that suffer them and make them poorer, they generally do not benefit the countries that commit them and make them richer. The notion that Europe is rich because of imperialism is simply wrong; Europe is rich because of education, technology, and good governance. Indeed, the greatest surge in Europe’s economic growth occurred as the period of imperialism was winding down—when Europeans realized that they would be better off trying to actually invent and produce things rather than stealing them from others.

Likewise, they rightfully demolish notions of primitivism and anti-globalization that I often see bouncing around from folks like Naomi Klein. But these are book 1 messages; any economist would agree that primitivism is a terrible idea, and very few are opposed to globalization per se.

The end of Equal is Unfair gives a five-part plan for unleashing opportunity in America:

1. Abolish all forms of corporate welfare so that no business can gain unfair advantage.

2. Abolish government barriers to work so that every individual can enjoy the dignity of earned success.

3. Phase out the welfare state so that America can once again become the land of self-reliance.

4. Unleash the power of innovation in education by ending the government monopoly on schooling.

5. Liberate innovators from the regulatory shackles that are strangling them.

Number 1 is hard to disagree with, except that they include literally everything the government does that benefits a corporation as corporate welfare, including things like subsidies for solar power that the world desperately needs (or millions of people will die).

Number 2 sounds really great until you realize that they are including all labor standards, environmental standards and safety regulations as “barriers to work”; because it’s such a barrier for children to not be able to work in a factory where your arm can get cut off, and such a barrier that we’ve eliminated lead from gasoline emissions and thereby cut crime in half.

Number 3 could mean a lot of things; if it means replacing the existing system with a basic income I’m all for it. But in fact it seems to mean removing all social insurance whatsoever. Indeed, Watkins and Brook do not appear to believe in social insurance at all. The whole concept of “less fortunate”, “there but for the grace of God go I” seems to elude them. They have no sense that being fortunate in their own lives gives them some duty to help others who were not; they feel no pang of moral obligation whatsoever to help anyone else who needs help. Indeed, they literally mock the idea that human beings are “all in this together”.

They also don’t even seem to believe in public goods, or somehow imagine that rational self-interest could lead people to pay for public goods without any enforcement whatsoever despite the overwhelming incentives to free-ride. (What if you allow people to freely enter a contract that provides such enforcement mechanisms? Oh, you mean like social democracy?)

Regarding number 4, I’d first like to point out that private schools exist. Moreover, so do charter schools in most states, and in states without charter schools there are usually vouchers parents can use to offset the cost of private schools. So while the government has a monopoly in the market share sense—the vast majority of education in the US is public—it does not actually appear to be enforcing a monopoly in the anti-competitive sense—you can go to private school, it’s just too expensive or not as good. Why, it’s almost as if education is a public good or a natural monopoly.

Number 5 also sounds all right, until you see that they actually seem most opposed to antitrust laws of all things. Why would antitrust laws be the ones that bother you? They are designed to increase competition and lower barriers, and largely succeed in doing so (when they are actually enforced, which is rare of late). If you really want to end barriers to innovation and government-granted monopolies, why is it not patents that draw your ire?

They also seem to have trouble with the difference between handicapping and redistribution—they seem to think that the only way to make outcomes more equal is to bring the top down and leave the bottom where it is, and they often use ridiculous examples like “Should we ban reading to your children, because some people don’t?” But of course no serious egalitarian would suggest such a thing. Education isn’t fungible, so it can’t be redistributed. You can take it away (and sometimes you can add it, e.g. public education, which Watkins and Brooks adamantly oppose); but you can’t simply transfer it from one person to another. Money on the other hand, is by definition fungible—that’s kind of what makes it money, really. So when we take a dollar from a rich person and give it to a poor person, the poor person now has an extra dollar. We’ve not simply lowered; we’ve also raised. (In practice it’s a bit more complicated than that, as redistribution can introduce inefficiencies. So realistically maybe we take $1.00 and give $0.90; that’s still worth doing in a lot of cases.)

If attributes like intelligence were fungible, I think we’d have a very serious moral question on our hands! It is not obvious to me that the world is better off with its current range of intelligence, compared to a world where geniuses had their excess IQ somehow sucked out and transferred to mentally disabled people. Or if you think that the marginal utility of intelligence is increasing, then maybe we should redistribute IQ upward—take it from some mentally disabled children who aren’t really using it for much and add it onto some geniuses to make them super-geniuses. Of course, the whole notion is ridiculous; you can’t do that. But whereas Watkins and Brook seem to think it’s obvious that we shouldn’t even if we could, I don’t find that obvious at all. You didn’t earn your IQ (for the most part); you don’t seem to deserve it in any deep sense; so why should you get to keep it, if the world would be much better off if you didn’t? Why should other people barely be able to feed themselves so I can be good at calculus? At best, maybe I’m free to keep it—but given the stakes, I’m not even sure that would be justifiable. Peter Singer is right about one thing: You’re not free to let a child drown in a lake just to keep your suit from getting wet.

Ultimately, if you really want to understand what’s going on with Equal is Unfair, consider the following sentence, which I find deeply revealing as to the true objectives of these Objectivists:

“Today, meanwhile, although we have far more liberty than our feudal ancestors, there are countless ways in which the government restricts our freedom to produce and trade including minimum wage laws, rent control, occupational licensing laws, tariffs, union shop laws, antitrust laws, government monopolies such as those granted to the post office and education system, subsidies for industries such as agriculture or wind and solar power, eminent domain laws, wealth redistribution via the welfare state, and the progressive income tax.” (p. 114)

Some of these are things no serious economist would disagree with: We should stop subsidizing agriculture and tariffs should be reduced or removed. Many occupational licenses are clearly unnecessary (though this has a very small impact on inequality in real terms—licensing may stop you from becoming a barber, but it’s not what stops you from becoming a CEO). Others are legitimately controversial: Economists are currently quite divided over whether minimum wage is beneficial or harmful (I lean toward beneficial, but I’d prefer a better solution), as well as how to properly regulate unions so that they give workers much-needed bargaining power without giving unions too much power. But a couple of these are totally backward, exactly contrary to what any mainstream economist would say: Antitrust laws need to be enforced more, not eliminated (don’t take it from me; take it from that well-known Marxist rag The Economist). Subsidies for wind and solar power make the economy more efficient, not less—and suspiciously Watkins and Brook omitted the competing subsidies that actually are harmful, namely those to coal and oil.

Moreover, I think it’s very revealing that they included the word progressive when talking about taxation. In what sense does making a tax progressive undermine our freedom? None, so far as I can tell. The presence of a tax undermines freedom—your freedom to spend that money some other way. Making the tax higher undermines freedom—it’s more money you lose control over. But making the tax progressive increases freedom for some and decreases it for others—and since rich people have lower marginal utility of wealth and are generally more free in substantive terms in general, it really makes the most sense that, holding revenue constant, making a tax progressive generally makes your people more free.

But there’s one thing that making taxes progressive does do: It benefits poor people and hurts rich people. And thus the true agenda of Equal is Unfair becomes clear: They aren’t actually interested in maximizing freedom—if they were, they wouldn’t be complaining about occupational licensing and progressive taxation, they’d be outraged by forced labor, mass incarceration, indefinite detention, and the very real loss of substantive freedom that comes from being born into poverty. They wouldn’t want less redistribution, they’d want more efficient and transparent redistribution—a shift from the current hodgepodge welfare state to a basic income system. They would be less concerned about the “freedom” to pollute the air and water with impunity, and more concerned about the freedom to breathe clean air and drink clean water.

No, what they really believe is rich people are better. They believe that billionaires attained their status not by luck or circumstance, not by corruption or ruthlessness, but by the sheer force of their genius. (This is essentially the entire subject of chapter 6, “The Money-Makers and the Money-Appropriators”, and it’s nauseating.) They describe our financial industry as “fundamentally moral and productive” (p.156)—the industry that you may recall stole millions of homes and laundered money for terrorists. They assert that no sane person could believe that Steve Wozniack got lucky—I maintain no sane person could think otherwise. Yes, he was brilliant; yes, he invented good things. But he had to be at the right place at the right time, in a society that supported and educated him and provided him with customers and employees. You didn’t build that.

Indeed, perhaps most baffling is that they themselves seem to admit that the really great innovators, such as Newton, Einstein, and Darwin, were scientists—but scientists are almost never billionaires. Even the common counterexample, Thomas Edison, is largely false; he mainly plagiarized from Nikola Tesla and appropriated the ideas of his employees. Newton, Einstein and Darwin were all at least upper-middle class (as was Tesla, by the way—he did not die poor as is sometimes portrayed), but they weren’t spectacularly mind-bogglingly rich the way that Steve Jobs and Andrew Carnegie were and Bill Gates and Jeff Bezos are.

Some people clearly have more talent than others, and some people clearly work harder than others, and some people clearly produce more than others. But I just can’t wrap my head around the idea that a single man can work so hard, be so talented, produce so much that he can deserve to have as much wealth as a nation of millions of people produces in a year. Yet, Mark Zuckerberg has that much wealth. Remind me again what he did? Did he cure a disease that was killing millions? Did he colonize another planet? Did he discover a fundamental law of nature? Oh yes, he made a piece of software that’s particularly convenient for talking to your friends. Clearly that is worth the GDP of Latvia. Not that silly Darwin fellow, who only uncovered the fundamental laws of life itself.

In the grand tradition of reducing complex systems to simple numerical values, I give book 1 a 7/10, book 2 a 5/10, and book 3 a 2/10. Equal is Unfair is about 25% book 1, 25% book 2, and 50% book 3, so altogether their final score is, drumroll please: 4/10. Maybe read the first half, I guess? That’s where most of the good stuff is.

How to change the world

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JDN 2457166 EDT 17:53.

I just got back from watching Tomorrowland, which is oddly appropriate since I had already planned this topic in advance. How do we, as they say in the film, “fix the world”?

I can’t find it at the moment, but I vaguely remember some radio segment on which a couple of neoclassical economists were interviewed and asked what sort of career can change the world, and they answered something like, “Go into finance, make a lot of money, and then donate it to charity.”

In a slightly more nuanced form this strategy is called earning to give, and frankly I think it’s pretty awful. Most of the damage that is done to the world is done in the name of maximizing profits, and basically what you end up doing is stealing people’s money and then claiming you are a great altruist for giving some of it back. I guess if you can make enormous amounts of money doing something that isn’t inherently bad and then donate that—like what Bill Gates did—it seems better. But realistically your potential income is probably not actually raised that much by working in finance, sales, or oil production; you could have made the same income as a college professor or a software engineer and not be actively stripping the world of its prosperity. If we actually had the sort of ideal policies that would internalize all externalities, this dilemma wouldn’t arise; but we’re nowhere near that, and if we did have that system, the only billionaires would be Nobel laureate scientists. Albert Einstein was a million times more productive than the average person. Steve Jobs was just a million times luckier. Even then, there is the very serious question of whether it makes sense to give all the fruits of genius to the geniuses themselves, who very quickly find they have all they need while others starve. It was certainly Jonas Salk’s view that his work should only profit him modestly and its benefits should be shared with as many people as possible. So really, in an ideal world there might be no billionaires at all.

Here I would like to present an alternative. If you are an intelligent, hard-working person with a lot of talent and the dream of changing the world, what should you be doing with your time? I’ve given this a great deal of thought in planning my own life, and here are the criteria I came up with:

  1. You must be willing and able to commit to doing it despite great obstacles. This is another reason why earning to give doesn’t actually make sense; your heart (or rather, limbic system) won’t be in it. You’ll be miserable, you’ll become discouraged and demoralized by obstacles, and others will surpass you. In principle Wall Street quantitative analysts who make $10 million a year could donate 90% to UNICEF, but they don’t, and you know why? Because the kind of person who is willing and able to exploit and backstab their way to that position is the kind of person who doesn’t give money to UNICEF.
  2. There must be important tasks to be achieved in that discipline. This one is relatively easy to satisfy; I’ll give you a list in a moment of things that could be contributed by a wide variety of fields. Still, it does place some limitations: For one, it rules out the simplest form of earning to give (a more nuanced form might cause you to choose quantum physics over social work because it pays better and is just as productive—but you’re not simply maximizing income to donate). For another, it rules out routine, ordinary jobs that the world needs but don’t make significant breakthroughs. The world needs truck drivers (until robot trucks take off), but there will never be a great world-changing truck driver, because even the world’s greatest truck driver can only carry so much stuff so fast. There are no world-famous secretaries or plumbers. People like to say that these sorts of jobs “change the world in their own way”, which is a nice sentiment, but ultimately it just doesn’t get things done. We didn’t lift ourselves into the Industrial Age by people being really fantastic blacksmiths; we did it by inventing machines that make blacksmiths obsolete. We didn’t rise to the Information Age by people being really good slide-rule calculators; we did it by inventing computers that work a million times as fast as any slide-rule. Maybe not everyone can have this kind of grand world-changing impact; and I certainly agree that you shouldn’t have to in order to live a good life in peace and happiness. But if that’s what you’re hoping to do with your life, there are certain professions that give you a chance of doing so—and certain professions that don’t.
  3. The important tasks must be currently underinvested. There are a lot of very big problems that many people are already working on. If you work on the problems that are trendy, the ones everyone is talking about, your marginal contribution may be very small. On the other hand, you can’t just pick problems at random; many problems are not invested in precisely because they aren’t that important. You need to find problems people aren’t working on but should be—problems that should be the focus of our attention but for one reason or another get ignored. A good example here is to work on pancreatic cancer instead of breast cancer; breast cancer research is drowning in money and really doesn’t need any more; pancreatic cancer kills 2/3 as many people but receives less than 1/6 as much funding. If you want to do cancer research, you should probably be doing pancreatic cancer.
  4. You must have something about you that gives you a comparative—and preferably, absolute—advantage in that field. This is the hardest one to achieve, and it is in fact the reason why most people can’t make world-changing breakthroughs. It is in fact so hard to achieve that it’s difficult to even say you have until you’ve already done something world-changing. You must have something special about you that lets you achieve what others have failed. You must be one of the best in the world. Even as you stand on the shoulders of giants, you must see further—for millions of others stand on those same shoulders and see nothing. If you believe that you have what it takes, you will be called arrogant and naïve; and in many cases you will be. But in a few cases—maybe 1 in 100, maybe even 1 in 1000, you’ll actually be right. Not everyone who believes they can change the world does so, but everyone who changes the world believed they could.

Now, what sort of careers might satisfy all these requirements?

Well, basically any kind of scientific research:

Mathematicians could work on network theory, or nonlinear dynamics (the first step: separating “nonlinear dynamics” into the dozen or so subfields it should actually comprise—as has been remarked, “nonlinear” is a bit like “non-elephant”), or data processing algorithms for our ever-growing morasses of unprocessed computer data.

Physicists could be working on fusion power, or ways to neutralize radioactive waste, or fundamental physics that could one day unlock technologies as exotic as teleportation and faster-than-light travel. They could work on quantum encryption and quantum computing. Or if those are still too applied for your taste, you could work in cosmology and seek to answer some of the deepest, most fundamental questions in human existence.

Chemists could be working on stronger or cheaper materials for infrastructure—the extreme example being space elevators—or technologies to clean up landfills and oceanic pollution. They could work on improved batteries for solar and wind power, or nanotechnology to revolutionize manufacturing.

Biologists could work on any number of diseases, from cancer and diabetes to malaria and antibiotic-resistant tuberculosis. They could work on stem-cell research and regenerative medicine, or genetic engineering and body enhancement, or on gerontology and age reversal. Biology is a field with so many important unsolved problems that if you have the stomach for it and the interest in some biological problem, you can’t really go wrong.

Electrical engineers can obviously work on improving the power and performance of computer systems, though I think over the last 20 years or so the marginal benefits of that kind of research have begun to wane. Efforts might be better spent in cybernetics, control systems, or network theory, where considerably more is left uncharted; or in artificial intelligence, where computing power is only the first step.

Mechanical engineers could work on making vehicles safer and cheaper, or building reusable spacecraft, or designing self-constructing or self-repairing infrastructure. They could work on 3D printing and just-in-time manufacturing, scaling it up for whole factories and down for home appliances.

Aerospace engineers could link the world with hypersonic travel, build satellites to provide Internet service to the farthest reaches of the globe, or create interplanetary rockets to colonize Mars and the moons of Jupiter and Saturn. They could mine asteroids and make previously rare metals ubiquitous. They could build aerial drones for delivery of goods and revolutionize logistics.

Agronomists could work on sustainable farming methods (hint: stop farming meat), invent new strains of crops that are hardier against pests, more nutritious, or higher-yielding; on the other hand a lot of this is already being done, so maybe it’s time to think outside the box and consider what we might do to make our food system more robust against climate change or other catastrophes.

Ecologists will obviously be working on predicting and mitigating the effects of global climate change, but there are a wide variety of ways of doing so. You could focus on ocean acidification, or on desertification, or on fishery depletion, or on carbon emissions. You could work on getting the climate models so precise that they become completely undeniable to anyone but the most dogmatically opposed. You could focus on endangered species and habitat disruption. Ecology is in general so underfunded and undersupported that basically anything you could do in ecology would be beneficial.

Neuroscientists have plenty of things to do as well: Understanding vision, memory, motor control, facial recognition, emotion, decision-making and so on. But one topic in particular is lacking in researchers, and that is the fundamental Hard Problem of consciousness. This one is going to be an uphill battle, and will require a special level of tenacity and perseverance. The problem is so poorly understood it’s difficult to even state clearly, let alone solve. But if you could do it—if you could even make a significant step toward it—it could literally be the greatest achievement in the history of humanity. It is one of the fundamental questions of our existence, the very thing that separates us from inanimate matter, the very thing that makes questions possible in the first place. Understand consciousness and you understand the very thing that makes us human. That achievement is so enormous that it seems almost petty to point out that the revolutionary effects of artificial intelligence would also fall into your lap.

The arts and humanities also have a great deal to contribute, and are woefully underappreciated.

Artists, authors, and musicians all have the potential to make us rethink our place in the world, reconsider and reimagine what we believe and strive for. If physics and engineering can make us better at winning wars, art and literature and remind us why we should never fight them in the first place. The greatest works of art can remind us of our shared humanity, link us all together in a grander civilization that transcends the petty boundaries of culture, geography, or religion. Art can also be timeless in a way nothing else can; most of Aristotle’s science is long-since refuted, but even the Great Pyramid thousands of years before him continues to awe us. (Aristotle is about equidistant chronologically between us and the Great Pyramid.)

Philosophers may not seem like they have much to add—and to be fair, a great deal of what goes on today in metaethics and epistemology doesn’t add much to civilization—but in fact it was Enlightenment philosophy that brought us democracy, the scientific method, and market economics. Today there are still major unsolved problems in ethics—particularly bioethics—that are in need of philosophical research. Technologies like nanotechnology and genetic engineering offer us the promise of enormous benefits, but also the risk of enormous harms; we need philosophers to help us decide how to use these technologies to make our lives better instead of worse. We need to know where to draw the lines between life and death, between justice and cruelty. Literally nothing could be more important than knowing right from wrong.

Now that I have sung the praises of the natural sciences and the humanities, let me now explain why I am a social scientist, and why you probably should be as well.

Psychologists and cognitive scientists obviously have a great deal to give us in the study of mental illness, but they may actually have more to contribute in the study of mental health—in understanding not just what makes us depressed or schizophrenic, but what makes us happy or intelligent. The 21st century may not simply see the end of mental illness, but the rise of a new level of mental prosperity, where being happy, focused, and motivated are matters of course. The revolution that biology has brought to our lives may pale in comparison to the revolution that psychology will bring. On the more social side of things, psychology may allow us to understand nationalism, sectarianism, and the tribal instinct in general, and allow us to finally learn to undermine fanaticism, encourage critical thought, and make people more rational. The benefits of this are almost impossible to overstate: It is our own limited, broken, 90%-or-so heuristic rationality that has brought us from simians to Shakespeare, from gorillas to Godel. To raise that figure to 95% or 99% or 99.9% could be as revolutionary as was whatever evolutionary change first brought us out of the savannah as Australopithecus africanus.

Sociologists and anthropologists will also have a great deal to contribute to this process, as they approach the tribal instinct from the top down. They may be able to tell us how nations are formed and undermined, why some cultures assimilate and others collide. They can work to understand combat bigotry in all its forms, racism, sexism, ethnocentrism. These could be the fields that finally end war, by understanding and correcting the imbalances in human societies that give rise to violent conflict.

Political scientists and public policy researchers can allow us to understand and restructure governments, undermining corruption, reducing inequality, making voting systems more expressive and more transparent. They can search for the keystones of different political systems, finding the weaknesses in democracy to shore up and the weaknesses in autocracy to exploit. They can work toward a true international government, representative of all the world’s people and with the authority and capability to enforce global peace. If the sociologists don’t end war and genocide, perhaps the political scientists can—or more likely they can do it together.

And then, at last, we come to economists. While I certainly work with a lot of ideas from psychology, sociology, and political science, I primarily consider myself an economist. Why is that? Why do I think the most important problems for me—and perhaps everyone—to be working on are fundamentally economic?

Because, above all, economics is broken. The other social sciences are basically on the right track; their theories are still very limited, their models are not very precise, and there are decades of work left to be done, but the core principles upon which they operate are correct. Economics is the field to work in because of criterion 3: Almost all the important problems in economics are underinvested.

Macroeconomics is where we are doing relatively well, and yet the Keynesian models that allowed us to reduce the damage of the Second Depression nonetheless had no power to predict its arrival. While inflation has been at least somewhat tamed, the far worse problem of unemployment has not been resolved or even really understood.

When we get to microeconomics, the neoclassical models are totally defective. Their core assumptions of total rationality and total selfishness are embarrassingly wrong. We have no idea what controls assets prices, or decides credit constraints, or motivates investment decisions. Our models of how people respond to risk are all wrong. We have no formal account of altruism or its limitations. As manufacturing is increasingly automated and work shifts into services, most economic models make no distinction between the two sectors. While finance takes over more and more of our society’s wealth, most formal models of the economy don’t even include a financial sector.

Economic forecasting is no better than chance. The most widely-used asset-pricing model, CAPM, fails completely in empirical tests; its defenders concede this and then have the audacity to declare that it doesn’t matter because the mathematics works. The Black-Scholes derivative-pricing model that caused the Second Depression could easily have been predicted to do so, because it contains a term that assumes normal distributions when we know for a fact that financial markets are fat-tailed; simply put, it claims certain events will never happen that actually occur several times a year.

Worst of all, economics is the field that people listen to. When a psychologist or sociologist says something on television, people say that it sounds interesting and basically ignore it. When an economist says something on television, national policies are shifted accordingly. Austerity exists as national policy in part due to a spreadsheet error by two famous economists.

Keynes already knew this in 1936: “The ideas of economists and political philosophers, both when they are right and when they are wrong, are more powerful than is commonly understood. Indeed the world is ruled by little else. Practical men, who believe themselves to be quite exempt from any intellectual influence, are usually the slaves of some defunct economist. Madmen in authority, who hear voices in the air, are distilling their frenzy from some academic scribbler of a few years back.”

Meanwhile, the problems that economics deals with have a direct influence on the lives of millions of people. Bad economics gives us recessions and depressions; it cripples our industries and siphons off wealth to an increasingly corrupt elite. Bad economics literally starves people: It is because of bad economics that there is still such a thing as world hunger. We have enough food, we have the technology to distribute it—but we don’t have the economic policy to lift people out of poverty so that they can afford to buy it. Bad economics is why we don’t have the funding to cure diabetes or colonize Mars (but we have the funding for oil fracking and aircraft carriers, don’t we?). All of that other scientific research that needs done probably could be done, if the resources of our society were properly distributed and utilized.

This combination of both overwhelming influence, overwhelming importance and overwhelming error makes economics the low-hanging fruit; you don’t even have to be particularly brilliant to have better ideas than most economists (though no doubt it helps if you are). Economics is where we have a whole bunch of important questions that are unanswered—or the answers we have are wrong. (As Will Rogers said, “It isn’t what we don’t know that gives us trouble, it’s what we know that ain’t so.”)

Thus, rather than tell you go into finance and earn to give, those economists could simply have said: “You should become an economist. You could hardly do worse than we have.”

How following the crowd can doom us all

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JDN 2457110 EDT 21:30

Humans are nothing if not social animals. We like to follow the crowd, do what everyone else is doing—and many of us will continue to do so even if our own behavior doesn’t make sense to us. There is a very famous experiment in cognitive science that demonstrates this vividly.

People are given a very simple task to perform several times: We show you line X and lines A, B, and C. Now tell us which of A, B or C is the same length as X. Couldn’t be easier, right? But there’s a trick: seven other people are in the same room performing the same experiment, and they all say that B is the same length as X, even though you can clearly see that A is the correct answer. Do you stick with what you know, or say what everyone else is saying? Typically, you say what everyone else is saying. Over 18 trials, 75% of people followed the crowd at least once, and some people followed the crowd every single time. Some people even began to doubt their own perception, wondering if B really was the right answer—there are four lights, anyone?

Given that our behavior can be distorted by others in such simple and obvious tasks, it should be no surprise that it can be distorted even more in complex and ambiguous tasks—like those involved in finance. If everyone is buying up Beanie Babies or Tweeter stock, maybe you should too, right? Can all those people be wrong?

In fact, matters are even worse with the stock market, because it is in a sense rational to buy into a bubble if you know that other people will as well. As long as you aren’t the last to buy in, you can make a lot of money that way. In speculation, you try to predict the way that other people will cause prices to move and base your decisions around that—but then everyone else is doing the same thing. By Keynes called it a “beauty contest”; apparently in his day it was common to have contests for picking the most beautiful photo—but how is beauty assessed? By how many people pick it! So you actually don’t want to choose the one you think is most beautiful, you want to choose the one you think most people will think is the most beautiful—or the one you think most people will think most people will think….

Our herd behavior probably made a lot more sense when we evolved it millennia ago; when most of your threats are external and human beings don’t have that much influence over our environment, the majority opinion is quite likely to be right, and can often given you an answer much faster than you could figure it out on your own. (If everyone else thinks a lion is hiding in the bushes, there’s probably a lion hiding in the bushes—and if there is, the last thing you want is to be the only one who didn’t run.) The problem arises when this tendency to follow the ground feeds back on itself, and our behavior becomes driven not by the external reality but by an attempt to predict each other’s predictions of each other’s predictions. Yet this is exactly how financial markets are structured.

With this in mind, the surprise is not why markets are unstable—the surprise is why markets are ever stable. I think the main reason markets ever manage price stability is actually something most economists think of as a failure of markets: Price rigidity and so-called “menu costs“. If it’s costly to change your price, you won’t be constantly trying to adjust it to the mood of the hour—or the minute, or the microsecond—but instead trying to tie it to the fundamental value of what you’re selling so that the price will continue to be close for a long time ahead. You may get shortages in times of high demand and gluts in times of low demand, but as long as those two things roughly balance out you’ll leave the price where it is. But if you can instantly and costlessly change the price however you want, you can raise it when people seem particularly interested in buying and lower it when they don’t, and then people can start trying to buy when your price is low and sell when it is high. If people were completely rational and had perfect information, this arbitrage would stabilize prices—but since they’re not, arbitrage attempts can over- or under-compensate, and thus result in cyclical or even chaotic changes in prices.

Our herd behavior then makes this worse, as more people buying leads to, well, more people buying, and more people selling leads to more people selling. If there were no other causes of behavior, the result would be prices that explode outward exponentially; but even with other forces trying to counteract them, prices can move suddenly and unpredictably.

If most traders are irrational or under-informed while a handful are rational and well-informed, the latter can exploit the former for enormous amounts of money; this fact is often used to argue that irrational or under-informed traders will simply drop out, but it should only take you a few moments of thought to see why that isn’t necessarily true. The incentives isn’t just to be well-informed but also to keep others from being well-informed. If everyone were rational and had perfect information, stock trading would be the most boring job in the world, because the prices would never change except perhaps to grow with the growth rate of the overall economy. Wall Street therefore has every incentive in the world not to let that happen. And now perhaps you can see why they are so opposed to regulations that would require them to improve transparency or slow down market changes. Without the ability to deceive people about the real value of assets or trigger irrational bouts of mass buying or selling, Wall Street would make little or no money at all. Not only are markets inherently unstable by themselves, in addition we have extremely powerful individuals and institutions who are driven to ensure that this instability is never corrected.

This is why as our markets have become ever more streamlined and interconnected, instead of becoming more efficient as expected, they have actually become more unstable. They were never stable—and the gold standard made that instability worse—but despite monetary policy that has provided us with very stable inflation in the prices of real goods, the prices of assets such as stocks and real estate have continued to fluctuate wildly. Real estate isn’t as bad as stocks, again because of price rigidity—houses rarely have their values re-assessed multiple times per year, let alone multiple times per second. But real estate markets are still unstable, because of so many people trying to speculate on them. We think of real estate as a good way to make money fast—and if you’re lucky, it can be. But in a rational and efficient market, real estate would be almost as boring as stock trading; your profits would be driven entirely by population growth (increasing the demand for land without changing the supply) and the value added in construction of buildings. In fact, the population growth effect should be sapped by a land tax, and then you should only make a profit if you actually build things. Simply owning land shouldn’t be a way of making money—and the reason for this should be obvious: You’re not actually doing anything. I don’t like patent rents very much, but at least inventing new technologies is actually beneficial for society. Owning land contributes absolutely nothing, and yet it has been one of the primary means of amassing wealth for centuries and continues to be today.

But (so-called) investors and the banks and hedge funds they control have little reason to change their ways, as long as the system is set up so that they can keep profiting from the instability that they foster. Particularly when we let them keep the profits when things go well, but immediately rush to bail them out when things go badly, they have basically no incentive at all not to take maximum risk and seek maximum instability. We need a fundamentally different outlook on the proper role and structure of finance in our economy.

Fortunately one is emerging, summarized in a slogan among economically-savvy liberals: Banking should be boring. (Elizabeth Warren has said this, as have Joseph Stiglitz and Paul Krugman.) And indeed it should, for all banks are supposed to be doing is lending money from people who have it and don’t need it to people who need it but don’t have it. They aren’t supposed to be making large profits of their own, because they aren’t the ones actually adding value to the economy. Indeed it was never quite clear to me why banks should be privatized in the first place, though I guess it makes more sense than, oh, say, prisons.

Unfortunately, the majority opinion right now, at least among those who make policy, seems to be that banks don’t need to be restructured or even placed on a tighter leash; no, they need to be set free so they can work their magic again. Even otherwise reasonable, intelligent people quickly become unshakeable ideologues when it comes to the idea of raising taxes or tightening regulations. And as much as I’d like to think that it’s just a small but powerful minority of people who thinks this way, I know full well that a large proportion of Americans believe in these views and intentionally elect politicians who will act upon them.

All the more reason to break from the crowd, don’t you think?