# 2020 is almost over

Dec27 JDN 2459211

I don’t think there are many people who would say that 2020 was their favorite year. Even if everything else had gone right, the 1.7 million deaths from the COVID pandemic would already make this a very bad year.

As if that weren’t bad enough, shutdowns in response to the pandemic, resulting unemployment, and inadequate fiscal policy responses have in a single year thrown nearly 150 million people back into extreme poverty. Unemployment in the US this year spiked to nearly 15%, its highest level since World War 2. Things haven’t been this bad for the US economy since the Great Depression.

And this Christmas season certainly felt quite different, with most of us unable to safely travel and forced to interact with our families only via video calls. New Year’s this year won’t feel like a celebration of a successful year so much as relief that we finally made it through.

Many of us have lost loved ones. Fortunately none of my immediate friends and family have died of COVID, but I can now count half a dozen acquaintances, friends-of-friends or distant relatives who are no longer with us. And I’ve been relatively lucky overall; both I and my partner work in jobs that are easy to do remotely, so our lives haven’t had to change all that much.

Yet 2020 is nearly over, and already there are signs that things really will get better in 2021. There are many good reasons for hope.

There are now multiple vaccines for COVID that have been successfully fast-tracked, and they are proving to be remarkably effective. Current forecasts suggest that we’ll have most of the US population vaccinated by the end of next summer.

Maybe the success of this vaccine will finally convince some of the folks who have been doubting the safety and effectiveness of vaccines in general. (Or maybe not; it’s too soon to tell.)

Perhaps the greatest reason to be hopeful about the future is the fact that 2020 is a sharp deviation from the long-term trend toward a better world. That 150 million people thrown back into extreme poverty needs to be compared against the over 1 billion people who have been lifted out of extreme poverty in just the last 30 years.

Those 1.7 million deaths need to be compared against the fact that global life expectancy has increased from 45 to 73 since 1950. The world population is 7.8 billion people. The global death rate has fallen from over 20 deaths per 1000 people per year to only 7.6 deaths per 1000 people per year. Multiplied over 7.8 billion people, that’s nearly 100 million lives saved every single year by advances in medicine and overall economic development. Indeed, if we were to sustain our current death rate indefinitely, our life expectancy would rise to over 130. There are various reasons to think that probably won’t happen, mostly related to age demographics, but in fact there are medical breakthroughs we might make that would make it possible. Even according to current forecasts, world life expectancy is expected to exceed 80 years by the end of the 21st century.

There have also been some significant environmental milestones this year: Global carbon emissions fell an astonishing 7% in 2020, though much of that was from reduced economic activity in response to the pandemic. (If we could sustain that, we’d cut global emissions in half each decade!) But many other milestones were the product of hard work, not silver linings of a global disaster: Whales returned to the Hudson river, Sweden officially terminated their last coal power plant, and the Great Barrier Reef is showing signs of recovery.

Yes, it’s been a bad year for most of us—most of the world, in fact. But there are many reasons to think that next year will be much better.

# The evolution of cuteness

Dec20 JDN 2459204

I thought I’d go for something a little more light-hearted for this week’s post. It’s been a very difficult year for a lot of people, though with Biden winning the election and the recent FDA approval of a COVID vaccine for emergency use, the light at the end of the tunnel is now visible. I’ve also had some relatively good news in my job search; I now have a couple of job interviews lined up for tenure-track assistant professor positions.

So rather than the usual economic and political topics, I thought I would focus today on cuteness. First of all, this allows me the opportunity to present you with a bunch of photos of cute animals (free stock photos brought to you by pexels.com):

Beyond the joy I hope this brings you in a dark time, I have a genuine educational purpose here, which is to delve into the surprisingly deep evolutionary question: Why does cuteness exist?

Well, first of all, what is cuteness? We evaluate a person or animal (or robot, or alien) as cute based on certain characteristics like wide eyes, a large head, a posture or expression that evokes innocence. We feel positive feelings toward that which we identify as cute, and we want to help them rather than harm them. We often feel protective toward them.

It’s not too hard to provide an evolutionary rationale for why we would find our own offspring cute: We have good reasons to want to protect and support our own offspring, and given the substantial amounts of effort involved in doing so, it behooves us to have a strong motivation for committing to doing so.

But it’s less obvious why we would feel this way about so many other things that are not human. Dogs and cats have co-evolved along with us as they became domesticated, dogs starting about 40,000 years ago and cats starting around 8,000 years ago. So perhaps it’s not so surprising that we find them cute as well: Becoming domesticated is, in many ways, simply the process of maximizing your level of cuteness so that humans will continue to feed and protect you.

But why are non-domesticated animals also often quite cute? That red panda, penguin, owl, and hedgehog are not domesticated; this is what they look like in the wild. And yet I personally find the red panda to be probably the cutest among an already very cute collection.

Some animals we do not find cute, or at least most people don’t. Here’s a collection of “cute snakes” that I honestly am not getting much cuteness reaction from. These “cute snails” work a little better, but they’re assuredly not as cute as kittens or red pandas. But honestly these “cute spiders” are doing a remarkably good job of it, despite the general sense I have (and I think I share with most people) that spiders are not generally cute. And while tentacles are literally the stuff of Lovecraftian nightmares, this “adorable octopus” lives up to the moniker.

The standard theory is that animals that we find cute are simply those that most closely resemble our own babies, but I don’t really buy it. Naked mole rats have their moments, but they are certainly not as cute as puppies or kittens, despite clearly bearing a closer resemblance to the naked wrinkly blob that most human infants look like. Indeed, I think it’s quite striking that babies aren’t really that cute; yes, some are, but many are not, and even the cutest babies are rarely as cute as the average kitten or red panda.

It actually seems to me more that we have some idealized concept of what a cute creature should look like, and maybe it evolved to reflect some kind of “optimal baby” of perfect health and vigor—but most of our babies don’t quite manage to meet that standard. Perhaps the cuteness of penguins or red pandas is sheer coincidence; out of the millions of animal species out there, some of them were bound to send our cuteness-detectors into overdrive. Dogs and cats, then, started as such coincidence—and then through domestication they evolved to fit our cuteness standard better and better, because this was in fact the primary determinant of their survival. That’s how you can get the adorable abomination that is a pug:

Such a creature would never survive in the wild, but we created it because we liked it (or enough of us did, anyway).

There are actually important reasons why having such a strong cuteness response could be maladaptive—we’re apex predators, after all. If finding animals cute prevents us from killing and eating them, that’s an important source of nutrition we are passing up. So whatever evolutionary pressure molded our cuteness response, it must be strong enough to overcome that risk.

Indeed, perhaps the cuteness of cats and dogs goes beyond not only coincidence but also the co-opting of an impulse to protect our offspring. Perhaps it is something that co-evolved in us for the direct purpose of incentivizing us to care for cats and dogs. It has been long enough for that kind of effect—we evolved our ability to digest wheat and milk in roughly the same time period. Indeed, perhaps the very cuteness response that makes us hesitant to kill a rabbit ourselves actually made us better at hunting rabbits, by making us care for dogs who could do the hunting even better than we could. Perhaps the cuteness of a mouse is less relevant to how we relate to mice than the cuteness of the cat who will have that mouse for dinner.

This theory is much more speculative, and I admit I don’t have very clear evidence of it; but let me at least say this: A kitten wouldn’t get cuter by looking more like a human baby. The kitten already seems quite well optimized for us to see it as cute, and any deviation from that optimum is going to be downward, not upward. Any truly satisfying theory of cuteness needs to account for that.

I also think it’s worth noting that behavior is an important element of cuteness; while a kitten will pretty much look cute no matter what it’s doing, where or not a snail or a bird looks cute often depends on the pose it is in.

There is an elegance and majesty to the tiger below, but I wouldn’t call them cute; indeed, should you encounter either one in the wild, the correct response is for you to run for your life.

Cuteness is playful, innocent, or passive; aggressive and powerful postures rapidly undermine cuteness. A lion make look cute as it rubs against a tree—but not once it turns to you and roars.

The truth is, I’m not sure we fully grasp what is going on in our brains when we identify something as cute. But it does seem to brighten our days.

# Hyper-competition

Dec13 JDN 2459197

This phenomenon has been particularly salient for me the last few months, but I think it’s a common experience for most people in my generation: Getting a job takes an awful lot of work.

Over the past six months, I’ve applied to over 70 different positions and so far gone through 4 interviews (2 by video, 2 by phone). I’ve done about 10 hours of test work. That so far has gotten me no offers, though I have yet to hear from 50 employers. Ahead of me I probably have about another 10 interviews, then perhaps 4 of what would have been flyouts and in-person presentations but instead will be “comprehensive interviews” and presentations conducted online, likely several more hours of test work, and then finally, maybe, if I’m lucky, I’ll get a good offer or two. If I’m unlucky, I won’t, and I’ll have to stick around for another year and do all this over again next year.

Aside from the limitations imposed by the pandemic, this is basically standard practice for PhD graduates. And this is only the most extreme end of a continuum of intensive job search efforts, for which even applying to be a cashier at Target requires a formal application, references, and a personality test.

This wasn’t how things used to be. Just a couple of generations ago, low-wage employers would more or less hire you on the spot, with perhaps a resume or a cursory interview. More prestigious employers would almost always require a CV with references and an interview, but it more or less stopped there. I discussed in an earlier post how much of the difference actually seems to come from our chronic labor surplus.

Is all of this extra effort worthwhile? Are we actually fitting people to better jobs this way? Even if the matches are better, are they enough better to justify all this effort?

It is a commonly-held notion among economists that competition in markets is good, that it increases efficiency and improves outcomes. I think that this is often, perhaps usually, the case. But the labor market has become so intensely competitive, particularly for high-paying positions, that the costs of this competitive effort likely outweigh the benefits.

How could this happen? Shouldn’t the free market correct for such an imbalance? Not necessarily. Here is a simple formal model of how this sort of intensive competition can result in significant waste.

Note that this post is about a formal mathematical model, so it’s going to use a lot of algebra. If you are uninterested in such things, you can read the next two paragraphs and then skip to the conclusions at the end.

The overall argument is straightforward: If candidates are similar in skill level, a complicated application process can make sense from a firm’s perspective, but be harmful from society’s perspective, due to the great cost to the applicants. This can happen because the difficult application process imposes an externality on the workers who don’t get the job.

All right, here is where the algebra begins.

I’ve included each equation as both formatted text and LaTeX.

Consider a competition between two applicants, X and Z.

They are each asked to complete a series of tasks in an application process. The amount of effort X puts into the application is x, and the amount of effort Z puts into the application is z. Let’s say each additional bit of effort has a fixed cost, normalized to 1.

Let’s say that their skills are similar, but not identical; this seems quite realistic. X has skill level hx, and Z has skill level hz.

Getting hired has a payoff for each worker of V. This includes all the expected benefits of the salary, benefits, and working conditions. I’ll assume that these are essentially the same for both workers, which also seems realistic.

The benefit to the employer is proportional to the worker’s skill, so letting h be the skill level of the actually hired worker, the benefit of hiring that worker is hY. The reason they are requiring this application process is precisely because they want to get the worker with the highest h. Let’s say that this application process has a cost to implement, c.

Who will get hired? Well, presumably whoever does better on the application. The skill level will amplify the quality of their output, let’s say proportionally to the effort they put in; so X’s expected quality will be hxx and Z’s expected output will be hzz.

Let’s also say there’s a certain amount of error in the process; maybe the more-qualified candidate will sleep badly the day of the interview, or make a glaring and embarrassing typo on their CV. And quite likely the quality of application output isn’t perfectly correlated with the quality of actual output once hired. To capture all this, let’s say that having more skill and putting in more effort only increases your probability of getting the job, rather than actually guaranteeing it.

In particular, let’s say that the probability of X getting hired is P[X] = hxx/(hxx + hzz).

$P[X] = \frac{h_x}{h_x x + h_z z}$

This results in a contest function, a type of model that I’ve discussed in some earlier posts in a rather different context.

The expected payoff for worker X is:

E[Ux] = hxx/(hxx + hzz) V – x

$E[U_x] = \frac{h_x x}{h_x x + h_z z} V – x$

Maximizing this with respect to the choice of effort x (which is all that X can control at this point) yields:

hxhzz V = (hxx + hzz)2

$h_x h_z x V = (h_x x + h_z z)^2$

A similar maximization for worker Z yields:

hxhzx V = (hxx + hzz)2

$h_x h_z z V = (h_x x + h_z z)^2$

It follows that x=z, i.e. X and Z will exert equal efforts in Nash equilibrium. Their probability of success will then be contingent entirely on their skill levels:

P[X] = hx/(hx + hz).

$P[X] = \frac{h_x}{h_x + h_y}$

Substituting that back in, we can solve for the actual amount of effort:

hxhzx V = (hx + hz)2x2

$h_x h_z x V = (h_x + h_z)^2 x^2$

x = hxhzV/(hx + hz)2

$x = \frac{h_x h_z}{h_x + h_z} V$

Now let’s see what that gives for the expected payoffs of the firm and the workers. This is worker X’s expected payoff:

E[Ux] = hx/(hx + hz) V – hxhzV/(hx + hz)2 = (hx/(hx + hz))2 V

$E[U_x] = \frac{h_x}{h_x + h_z} V – \frac{h_x h_z}{(h_x + h_z)^2} V = \left( \frac{h_x}{h_x + h_z}\right)^2 V$

Worker Z’s expected payoff is the same, with hx and hz exchanged:

E[Uz] = (hz/(hx + hz))2 V

$E[U_z] = \left( \frac{h_z}{h_x + h_z}\right)^2 V$

What about the firm? Their expected payoff is the the probability of hiring X, times the value of hiring X, plus the probability of hiring Z, times the value of hiring Z, all minus the cost c:

E[Uf] = hx/(hx + hz) hx Y + hz/(hx + hz) hz Y – c= (hx2 + hz2)/(hx + hz) Y – c

$E[U_f] = \frac{h_x}{h_x + h_z} h_x Y + \frac{h_z}{h_x + h_z} h_z Y – c = \frac{h_x^2 + h_z^2}{h_x + h_z} Y – c$

To see whether the application process was worthwhile, let’s compare against the alternative of simply flipping a coin and hiring X or Z at random. The probability of getting hired is then 1/2 for each candidate.

Expected payoffs for X and Z are now equal:

E[Ux] = E[Uz] = V/2

$E[U_x] = E[U_z] = \frac{V}{2}$

The expected payoff for the firm can be computed the same as before, but now without the cost c:

E[Uf] = 1/2 hx Y + 1/2 hz Y = (hx + hz)/2 Y

$E[U_f] = \frac{1}{2} h_x Y + \frac{1}{2} h_z Y = \frac{h_x + h_z}{2} Y$

This has a very simple interpretation: The expected value to the firm is just the average quality of the two workers, times the overall value of the job.

Which of these two outcomes is better? Well, that depends on the parameters, of course. But in particular, it depends on the difference between hx and hz.

Consider two extremes: In one case, the two workers are indistinguishable, and hx = hz = h. In that case, the payoffs for the hiring process reduce to the following:

E[Ux] = E[Uz] = V/4

$E[U_x] = E[U_z] = \frac{V}{4}$

E[Uf] = h Y – c

$E[U_f] = h Y – c$

Compare this against the payoffs for hiring randomly:

E[Ux] = E[Uz] = V/2

$E[U_x] = E[U_z] = \frac{V}{2}$

E[Uf] = h Y

$E[U_f] = h Y$

Both the workers and the firm are strictly better off if the firm just hires at random. This makes sense, since the workers have identical skill levels.

Now consider the other extreme, where one worker is far better than the other; in fact, one is nearly worthless, so hz ~ 0. (I can’t do exactly zero because I’d be dividing by zero, but let’s say one is 100 times better or something.)

In that case, the payoffs for the hiring process reduce to the following:

E[Ux] = V

E[Uz] = 0

$E[U_x] = V$

$E[U_z] = 0$

X will definitely get the job, so X is much better off.

E[Uf] = hx Y – c

$E[U_f] = h_x Y – c$

E[Ux] = E[Uz] = V/2

$E[U_x] = E[U_z] = \frac{V}{2}$

E[Uf] = hY/2

$E[U_f] = \frac{h}{2} Y$

As long as c < hY/2, both the firm and the higher-skill worker are better off in this scenario. (The lower-skill worker is worse off, but that’s not surprising.) The total expected benefit for everyone is also higher in this scenario.

Thus, the difference in skill level between the applicants is vital. If candidates are very different in skill level, in a way that the application process can accurately measure, then a long and costly application process can be beneficial, not only for the firm but also for society as a whole.

In these extreme examples, it was either not worth it for the firm, or worth it for everyone. But there is an intermediate case worth looking at, where the long and costly process can be worth it for the firm, but not for society as a whole. I will call this case hyper-competition—a system that is so competitive it makes society overall worse off.

This inefficient result occurs precisely when:
c < (hx2 + hz2)/(hx + hz) Y – (hx + hz)/2 Y < c + (hx/(hx + hz))2 V + (hz/(hx + hz))2 V

$c < \frac{h_x^2 + h_z^2}{h_x + h_z} Y – \frac{h_x + h_z}{2} Y < c + \left( \frac{h_x}{h_x + h_z}\right)^2 V + \left( \frac{h_z}{h_x + h_z}\right)^2 V$

This simplifies to:

c < (hx – hz)2/(2hx + 2hz) Y < c + (hx2 + hz2)/(hx + hz)2 V

$c < \frac{(h_x – h_z)^2}{2 (h_x + h_z)} Y < c + \frac{(h_x^2 + h_z^2)}{(h_x+h_z)^2} V$

If c is small, then we are interested in the case where:

(hx – hz)2 Y/2 < (hx2 + hz2)/(hx + hz) V

$\frac{(h_x – h_z)^2}{2} Y < \frac{h_x^2 + h_z^2}{h_x + h_z} V$

This is true precisely when the difference hx – hz is small compared to the overall size of hx or hz—that is, precisely when candidates are highly skilled but similar. This is pretty clearly the typical case in the real world. If the candidates were obviously different, you wouldn’t need a competitive process.

For instance, suppose that hx = 10 and hz = 8, while V = 180, Y = 20 and c = 1.

Then, if we hire randomly, these are the expected payoffs:

E[Uf] = (hx + hz)/2 Y = 180

E[Ux] = E[Uz] = V/2 = 90

If we use the complicated hiring process, these are the expected payoffs:

E[Ux] = (hx/(hx + hz))2 V = 55.5

E[Uz] = (hz/(hx + hz))2 V = 35.5

E[Uf] = (hx2 + hz2)/(hx + hz) Y – c = 181

The firm gets a net benefit of 1, quite small; while the workers face a far larger total expected loss of 90. And these candidates aren’t that similar: One is 25% better than the other. Yet because the effort expended in applying was so large, even this improvement in quality wasn’t worth it from society’s perspective.

This conclude’s the algebra for today, if you’ve been skipping it.

In this model I’ve only considered the case of exactly two applicants, but this can be generalized to more applicants, and the effect only gets stronger: Seemingly-large differences in each worker’s skill level can be outweighed by the massive cost of making so many people work so hard to apply and get nothing to show for it.

Thus, hyper-competition can exist despite apparently large differences in skill. Indeed, it is precisely the typical real-world scenario with many applicants who are similar that we expect to see the greatest inefficiencies. In the absence of intervention, we should expect markets to get this wrong.

Of course, we don’t actually want employers to hire randomly, right? We want people who are actually qualified for their jobs. Yes, of course; but you can probably assess that with nothing more than a resume and maybe a short interview. Most employers are not actually trying to find qualified candidates; they are trying to sift through a long list of qualified candidates to find the one that they think is best qualified. And my suspicion is that most of them honestly don’t have good methods of determining that.

This means that it could be an improvement for society to simply ban long hiring processes like these—indeed, perhaps ban job interviews altogether, as I can hardly think of a more efficient mechanism for allowing employers to discriminate based on race, gender, age, or disability than a job interview. Just collect a resume from each applicant, remove the ones that are unqualified, and then roll a die to decide which one you hire.

This would probably make the fit of workers to their jobs somewhat worse than the current system. But most jobs are learned primarily through experience anyway, so once someone has been in a job for a few years it may not matter much who was hired originally. And whatever cost we might pay in less efficient job matches could be made up several times over by the much faster, cheaper, easier, and less stressful process of applying for jobs.

Indeed, think for a moment of how much worse it feels being turned down for a job after a lengthy and costly application process that is designed to assess your merit (but may or may not actually do so particularly well), as opposed to simply finding out that you lost a high-stakes die roll. Employers could even send out letters saying one of two things: “You were rejected as unqualifed for this position.” versus “You were qualified, but you did not have the highest die roll.” Applying for jobs already feels like a crapshoot; maybe it should literally be one.

People would still have to apply for a lot of jobs—actually, they’d probably end up applying for more, because the lower cost of applying would attract more applicants. But since the cost is so much lower, it would still almost certainly be easier to do a job search than it is in the current system. In fact, it could largely be automated: simply post your resume on a central server and the system matches you with employers’ requirements and then randomly generates offers. Employers and prospective employees could fill out a series of forms just once indicating what they were looking for, and then the system could do the rest.

What I find most interesting about this policy idea is that it is in an important sense anti-meritocratic. We are in fact reducing the rewards for high levels of skill—at least a little bit—in order to improve society overall and especially for those with less skill. This is exactly the kind of policy proposal that I had hoped to see from a book like The Meritocracy Trap, but never found there. Perhaps it’s too radical? But the book was all about how we need fundamental, radical change—and then its actual suggestions were simple, obvious, and almost uncontroversial.

Note that this simplified process would not eliminate the incentives to get major, verifiable qualifications like college degrees or years of work experience. In fact, it would focus the incentives so that only those things matter, instead of whatever idiosyncratic or even capricious preferences HR agents might have. There would be no more talk of “culture fit” or “feeling right for the job”, just: “What is their highest degree? How many years have they worked in this industry?” I suppose this is credentialism, but in a world of asymmetric information, I think credentialism may be our only viable alternative to nepotism.

Of course, it’s too late for me. But perhaps future generations may benefit from this wisdom.

# The necessitization of American consumption

Dec6 JDN 2459190

Why do we feel poorer than our parents?

Over the last 20 years, real per-capita GDP has risen from $46,000 to$56,000 (in 2012 dollars):

It’s not just increasing inequality (though it is partly that); real median household income has increased over the same period from $62,500 to$68,700 (in 2019 dollars):

The American Enterprise Institute has utterly the wrong interpretation of what’s going on here, but their graph is actually quite informative if you can read it without their ideological blinders:

Over the past 20 years, some industries have seen dramatic drops in prices, such as televisions, cellphones, toys, and computer software. Other industries have seen roughly constant prices, such as cars, clothing, and furniture. Still other industries have seen modest increases in prices that tracked overall inflation, such as housing and food. And then there are some industries where prices have exploded to staggering heights, such as childcare, college education, and hospital services.

Since wages basically kept up with inflation, this is the relevant comparison: A product or service is more expensive in real terms if its price grew faster than inflation.

It’s not inherently surprising that some prices would rise faster than inflation and some would rise slower; indeed, it would be shocking if that were not the case, since inflation essentially just is an average of all price changes over time. But if you look closely at the kinds of things that got cheaper versus more expensive, you can begin to see why the statistics keep saying we are getting richer but we don’t feel any richer.

The things that increased the most in price are things you basically can’t do without: Education, childcare, and healthcare. Yes, okay, theoretically you could do without these things, but the effects on your life would be catastrophic—indeed, going without healthcare could literally kill you. They are necessities.

The things that decreased the most in price are things that people have done without for most of human history: Cellphones, software, and computer software. They are newfangled high-tech goods that are now ubiquitous, but not at all long ago didn’t even exist. Going without these goods would be inconvenient, but hardly catastrophic. Indeed, they largely only feel as necessary as they are because everyone else already has them. They are luxuries.

This even explains why older generations can be convinced that we are richer than the statistics say: We have all these fancy new high-tech toys that they never had. But what good does that do us when we can’t afford our health insurance?

Housing is also an obvious necessity, and while it has not on average increased in price faster than inflation, this average washes out important geographic variation.

San Francisco has seen housing prices nearly triple in the last 20 years:

Over the same period, Detroit’s housing prices plummeted, then returned to normal, and are now only 30% higher than they were 20 years ago (comparable to inflation):

It’s hardly surprising that the cities where the most people are moving to are the most expensive to live in; that’s basic supply and demand. But the magnitude of the difference is so large that most of us are experiencing rising housing prices, even though on average housing prices aren’t really rising.

Put this all together, and we can see that while by the usual measures our “standard of living” is increasing, our financial situation feels ever more precarious, because more and more of our spending is immediately captured by things we can’t do without. I suggest we call this effect necessitization; our consumption has been necessitized.

Healthcare is the most extreme example: In 1960, healthcare spending was only 5% of US GDP. As recently as 2000, it was 13%. Today, it is 18%. Medical technology has greatly improved over that time period, increasing our life expectancy from 70 years in 1960 to 76 years in 2000 to 78 years today, so perhaps this additional spending is worth it? But if we compare 2000 to 2020, we can see that an additional 5% of GDP in the last 20 years has only bought us two years of life. So we have spent an additional 5% of our income to gain 2.6% more life—that doesn’t sound like such a great deal to me. (Also, if you look closely at the data, most of the gains in life expectancy seem to be from things like antibiotics and vaccines that aren’t a large part of our healthcare spending, while most of the increased spending seems to be on specialists, testing, high-tech equipment, and administrative costs that don’t seem to contribute much to life expectancy.)

Moreover, even if we decide that all this healthcare spending is worth it, it doesn’t make us richer in the usual sense. We have better health, but we don’t have greater wealth or financial security.

AEI sees that the industries with the largest price increases have the most government intervention, and blames the government; this is clearly confusing cause with effect. The reason the government intervenes so much in education and healthcare is because these are necessities and they are getting so expensive. Removing those interventions wouldn’t stop prices from rising; they’d just remove the programs like Medicaid and federal student loans that currently allow most people to (barely) afford them.

But they are right about one thing: Prices have risen much faster in some industries than others, and the services that have gotten the most expensive are generally the services that are most important.

Why have these services gotten so expensive? A major reason seems to be that they are difficult to automate. Manufacturing electronics is very easy to automate—indeed, there’s even a positive feedback loop there: the better you get at automating making electronics, the better you get at automating everything, including making electronics. But automating healthcare and education is considerably more difficult. Yes, there are MOOCs, and automated therapy software, and algorithms will soon be outperforming the average radiologist; but there are a lot of functions that doctors, nurses, and teachers provide that are very difficult to replace with machines or software.

Suppose we do figure out how to automate more functions of education and healthcare; would that solve the problem? Maybe—but only if we really do manage to automate the important parts.

Right now, MOOCs are honestly terrible. The sales pitch is that you can get taught by a world-class professor from anywhere in the world, but the truth is that the things that make someone a world-class professor don’t translate over when you are watching recorded video lectures and doing multiple-choice quizzes. Really good teaching requires direct interaction between teacher and student. Of course, a big lecture hall full of hundreds of students often lacks such interaction—but so much the worse for big lecture halls. If indeed that’s the only way colleges know how to teach, then they deserve to be replaced by MOOCs. But there are better ways of teaching that online courses currently cannot provide, and if college administrators were wise, they would be focusing on pressing that advantage. If this doesn’t happen, and education does become heavily automated, it will be cheaper—but it will also be worse.

Similarly, some aspects of healthcare provision can be automated, but there are clearly major benefits to having actual doctors and nurses physically there to interact with patients. If we want to make healthcare more affordable, we will probably have to find other ways (a single-payer health system comes to mind).

For now, it is at least worth recognizing that there are serious limitations in our usual methods of measuring standard of living; due to effects like necessitization, the statistics can say that we are much richer even as we hardly feel richer at all.

Nov 29 JDN 2459183

For the last several weeks I’ve been participating in a program called “positive intelligence” (which they abbreviate “PQ” even though that doesn’t make sense); it’s basically a self-help program that is designed to improve mood and increase productivity. I am generally skeptical of such things, and I could tell from the start that it was being massively oversold, but I had the opportunity to participate for free, and I looked into the techniques involved and most of them seem to be borrowed from cognitive-behavioral therapy and mindfulness meditation.

Overall, I would say that the program has had small but genuine benefits for me. I think the most helpful part was actually getting the chance to participate in group sessions (via Zoom of course) with others also going through the program. That kind of mutual social support can make a big difference. The group I joined was all comprised of fellow economists (some other grad students, some faculty), so we had a lot of shared experiences.

Some of the techniques feel very foolish, and others just don’t seem to work for me; but I did find at least some of the meditation techniques (which they annoyingly insist on calling by the silly name “PQ reps”) have helped me relax.

But there’s one part of the PQ program in particular that I just can’t buy into, and this is the idea that adversity is a gift and an opportunity.

They call it the “Sage perspective”: You observe the world without judging what is good or bad, and any time you think something is bad, you find a way to transform it into a gift and an opportunity. The claim is that everything—or nearly everything—that happens to you can make you better off. There’s a lot of overlap here with the attitude “Everything happens for a reason”.

I don’t doubt that sincerely believing this would make you happier. Nevertheless, it is obviously false.

If indeed adversity were a gift, we would seek it out. If getting fired or going bankrupt or getting sick were a gift and an opportunity, we’d work to make these things happen.

Yes, it’s true that sometimes an event which seems bad at the time can turn out to have good consequences in the long run. This is simply because we are unable to foresee all future ramifications. Sometimes things turn out differently than you think they will. But most of the time, when something seems bad, it is actually bad.

There might be some small amount of discomfort or risk that would be preferable to a life of complete safety and complacency; but we are perfectly capable of seeking out whatever discomfort or risk we choose. Most of us live with far more discomfort and risk than we would prefer, and simply have no choice in the matter.

If adversity were a gift, people would thank you for giving it to them. “Thanks for dumping me!” “Thanks for firing me!” “Thanks for punching me!” These aren’t the sort of thing we hear very often (at least not sincerely).

I think this is fairly obvious, honestly, so I won’t belabor it any further. But it raises a question: Is there a way to salvage the mental health benefits of this attitude while abandoning its obvious falsehood?

“Everything happens for a reason” doesn’t work; we live in a universe of deep randomness, ruled by the blind idiot gods of natural law.

“Every cloud has a silver lining” is better; but clearly not every bad thing has an upside, or if it does the upside can be so small as to be utterly negligible. (What was the upside of Rwandan genocide?) Restricted to ordinary events like getting fired this one works pretty well; but it obviously fails for the most extreme traumas, and doesn’t seem particularly helpful for the death of a loved one either.

“What doesn’t kill me makes me stronger” is better still, but clearly not true in every case; some bad events that don’t actually kill us can traumatize us and make the rest of our lives harder. Perhaps “What doesn’t permanently damage me makes me stronger”?

I think the version of this attitude that I have found closest to the truth is “Everything is raw material”. Sometimes bad things just happen: Bad luck, or bad actions, can harm just about anyone at just about any time. But it is within our power to decide how we will respond to what happens to us, and wallowing in despair is almost never the best response.

Thus, while it is foolish to see adversity as a gift, it is not so foolish to see it as an opportunity. Don’t try to pretend that bad things aren’t bad. There’s no sense in denying that we would prefer some outcomes over others, and we feel hurt or disappointed when things don’t turn out how we wanted. Yet even what is bad can still contain within it chances to learn or make things better.

# How men would benefit from a less sexist world

Nov 22 JDN 2459176

November 19 is International Men’s Day, so this week seemed an appropriate time for this post.

It’s obvious that a less sexist world would benefit women. But there are many ways in which it would benefit men as well.

First, there is the overwhelming pressure of conforming to norms of masculinity. I don’t think most women realize just how oppressive this is, how nearly every moment of our lives we are struggling to conform to a particular narrow vision of what it is to be a man, from which even small deviations can be severely punished. A less sexist world would mean a world where these pressures are greatly reduced.

Second, there is the fact that men are subjected to far more violence than women. Men are three times as likely to be murdered as women. This violence has many causes—indeed, the fact that men are much more likely to be both victims and perpetrators of violence nearly everywhere in the world suggests genetic causes—but a less sexist world could be a world with less violence in general, and men would benefit most from that.

Third, a less sexist world is a world where men and women feel more equal and more comfortable with one another, a world in which relationships between men and women can be deeper and more authentic. Another part of the male experience that most women don’t seem to understand is how incredibly painful it is to be treated as “Schrodinger’s Rapist”, where you are considered a potential predator by default and have to constantly signal that you are not threatening. To be clear, the problem isn’t that women are trying to protect themselves from harm; it’s that their risk of being harmed is high enough that they have to do this. I’m not saying women should stop trying to play it safe around men; I’m saying that we should be trying to find ways to greatly reduce the risk of harm that they face—and that doing so would benefit both women, who would be safer, and men, who wouldn’t have to be treated as potential predators at all times.

Feminists have actually done a lot of things that directly benefit men, including removing numerous laws that discriminate against men.

Are there some men who stand to be harmed by a less sexist society? Sure. Rapists clearly stand to be harmed. Extremely misogynist men will be pressured to change, which could be harmful to them. And, to be clear, it won’t all be benefits even for the rest of us. We will have to learn new things, change how we behave, challenge some of our most deep-seated norms and attitudes. But overall, I think that most men are already better off because of feminism, and would continue to be even better off still if the world became more feminist.

Why does this matter? Wouldn’t the benefits to women be a sufficient reason to make a less sexist world, even if it did end up harming most men?

Well, yes and no: It actually depends on how much it would harm men. If those harms were actually large enough, they would present a compelling reason not to make a more feminist world. That is clearly not the case, and this should be obvious to just about anyone; but it’s not a logical impossibility. Indeed, even knowing that the harms are not enough to justify abandoning the entire project, they could still be large enough to justify slowing it down or seeking other approaches to solving the problems feminism was intended to solve.

But yes, clearly feminism would be worth doing even if it had no net benefit to men. Yet, the fact that it does have a net benefit to most men is useful information.

First, it tells us that the world is nonzero-sum, that we can make some people better off without making others equally worse off. This is a deep and important insight that I think far too few people have really internalized.

Second, it provides numerous strategic benefits for recruiting men to the cause. Consider the following two potential sales pitches for feminism:

“You benefit from this system, but women are harmed by it. You should help us change it, even though that would harm you! If you don’t, you’re a bad person!”

“Women are harmed most by this system, but you are harmed by it too. You can help us change it, and we’ll make almost everyone better off, including you!”

Which of those two sales pitches seems more likely to convince someone who is on the fence?

Consider in particular men who aren’t particularly well-off themselves. If you are an unemployed, poor Black man, you probably find that the phrase “male privilege” rings a little hollow. Yes, perhaps you would be even worse off if you were a woman, but you’re not doing great right now, and you probably aren’t thrilled with the idea of risking being made even worse off, even by changes that you would otherwise agree are beneficial to society as a whole.

Similar reasoning applies to other “privileged” groups: Poor White men dying from treatable diseases because they can’t afford healthcare probably aren’t terribly moved by the phrase “White privilege”. Emphasizing the ways that your social movement will harm people seems like a really awful way of recruiting support, doesn’t it?

Yes, sometimes things that are overall good will harm some people, and we have to accept that. But the world is not always this way, and in fact some of the greatest progress in human civilization has been of the sort that benefits nearly everyone. Indeed, perhaps we should focus our efforts on the things that will benefit the most people, and then maybe come back later for things that benefit some at the expense of others?

# What’s wrong with “should”?

Nov 8 JDN 2459162

I have been a patient in cognitive behavioral therapy (CBT) for many years now. The central premise that thoughts can influence emotions is well-founded, and the results of CBT are empirically well supported.

One of the central concepts in CBT is cognitive distortions: There are certain systematic patterns in how we tend to think, which often results in beliefs and emotions that are disproportionate with reality.

Most of the cognitive distortions CBT deals with make sense to me—and I am well aware that my mind applies them frequently: All-or-nothing, jumping to conclusions, overgeneralization, magnification and minimization, mental filtering, discounting the positive, personalization, emotional reasoning, and labeling are all clearly distorted modes of thinking that nevertheless are extremely common.

But there’s one “distortion” on CBT lists that always bothers me: “should statements”.

Listen to this definition of what is allegedly a cognitive distortion:

Another particularly damaging distortion is the tendency to make “should” statements. Should statements are statements that you make to yourself about what you “should” do, what you “ought” to do, or what you “must” do. They can also be applied to others, imposing a set of expectations that will likely not be met.

When we hang on too tightly to our “should” statements about ourselves, the result is often guilt that we cannot live up to them. When we cling to our “should” statements about others, we are generally disappointed by their failure to meet our expectations, leading to anger and resentment.

So any time we use “should”, “ought”, or “must”, we are guilty of distorted thinking? In other words, all of ethics is a cognitive distortion? The entire concept of obligation is a symptom of a mental disorder?

Different sources on CBT will define “should statements” differently, and sometimes they offer a more nuanced definition that doesn’t have such extreme implications:

Individuals thinking in ‘shoulds’, ‘oughts; or ‘musts’ have an ironclad view of how they and others ‘should’ and ‘ought’ to be. These rigid views or rules can generate feels of anger, frustration, resentment, disappointment and guilt if not followed.

Example: You don’t like playing tennis but take lessons as you feel you ‘should’, and that you ‘shouldn’t’ make so many mistakes on the court, and that your coach ‘ought to’ be stricter on you. You also feel that you ‘must’ please him by trying harder.

This is particularly problematic, I think, because of the All-or-Nothing distortion which does genuinely seem to be common among people with depression: Unless you are very clear from the start about where to draw the line, our minds will leap to saying that all statements involving the word “should” are wrong.

I think what therapists are trying to capture with this concept is something like having unrealistic expectations, or focusing too much on what could or should have happened instead of dealing with the actual situation you are in. But many seem to be unable to articulate that clearly, and instead end up asserting that entire concept of moral obligation is a cognitive distortion.

There may be a deeper error here as well: The way we study mental illness doesn’t involve enough comparison with the control group. Psychologists are accustomed to asking the question, “How do people with depression think?”; but they are not accustomed to asking the question, “How do people with depression think compared to people who don’t?” If you want to establish that A causes B, it’s not enough to show that those with B have A; you must also show that those who don’t have B also don’t have A.

This is an extreme example for illustration, but suppose someone became convinced that depression is caused by having a liver. They studied a bunch of people with depression, and found that they all had livers; hypothesis confirmed! Clearly, we need to remove the livers, and that will cure the depression.

The best example I can find of a study that actually asked that question compared nursing students and found that cognitive distortions explain about 20% of the variance in depression. This is a significant amount—but still leaves a lot unexplained. And most of the research on depression doesn’t even seem to think to compare against people without depression.

My impression is that some cognitive distortions are genuinely more common among people with depression—but not all of them. There is an ongoing controversy over what’s called the depressive realism effect, which is the finding that in at least some circumstances the beliefs of people with mild depression seem to be more accurate than the beliefs of people with no depression at all. The result is controversial both because it seems to threaten the paradigm that depression is caused by distortions, and because it seems to be very dependent on context; sometimes depression makes people more accurate in their beliefs, other times it makes them less accurate.

Overall, I am inclined to think that most people have a variety of cognitive distortions, but we only tend to notice when those distortions begin causing distress—such when are they involved in depression. Human thinking in general seems to be a muddled mess of heuristics, and the wonder is that we function as well as we do.

Does this mean that we should stop trying to remove cognitive distortions? Not at all. Distorted thinking can be harmful even if it doesn’t cause you distress: The obvious example is a fanatical religious or political belief that leads you to harm others. And indeed, recognizing and challenging cognitive distortions is a highly effective treatment for depression.

Actually I created a simple cognitive distortion worksheet based on the TEAM-CBT approach developed by David Burns that has helped me a great deal in a remarkably short time. You can download the worksheet yourself and try it out. Start with a blank page and write down as many negative thoughts as you can, and then pick 3-5 that seem particularly extreme or unlikely. Then make a copy of the cognitive distortion worksheet for each of those thoughts and follow through it step by step. Particularly do not ignore the step “This thought shows the following good things about me and my core values:”; that often feels the strangest, but it’s a critical part of what makes the TEAM-CBT approach better than conventional CBT.

So yes, we should try to challenge our cognitive distortions. But the mere fact that a thought is distressing doesn’t imply that it is wrong, and giving up on the entire concept of “should” and “ought” is throwing out a lot of babies with that bathwater.

We should be careful about labeling any thoughts that depressed people have as cognitive distortions—and “should statements” is a clear example where many psychologists have overreached in what they characterize as a distortion.

# Trump will soon be gone. But this isn’t over.

Nov 8 JDN 2459162

After a frustratingly long wait for several states to finish counting their mail-in ballots (particularly Pennsylvania, Nevada, and Arizona), Biden has officially won the Presidential election. While it was far too close in a few key states, this is largely an artifact of the Electoral College: Biden’s actual popular vote advantage was over 4 million votes. We now have our first Vice President who is a woman of color. I think it’s quite reasonable for us all to share a long sigh of relief at this result.

We have won this battle. But the war is far from over.

First, there is the fact that we are still in a historic pandemic and economic recession. I have no doubt that Biden’s policy response will be better than Trump’s; but he hasn’t taken office yet, and much of the damage has already been done. Things are not going to get much better for quite awhile yet.

Second, while Biden is a pretty good candidate, he does have major flaws.

Above all, Biden is still far too hawkish on immigration and foreign policy. He won’t chant “build the wall!”, but he’s unlikely to tear down all of our border fences or abolish ICE. He won’t rattle the saber with Iran or bomb civilians indiscriminately, but he’s unlikely to end the program of assassination drone strikes. Trump has severely, perhaps irrevocably, damaged the Pax Americana with his ludicrous trade wars, alienation of our allies, and fawning over our enemies; but whether or not Biden can restore America’s diplomatic credibility, I have no doubt that he’ll continue to uphold—and deploy—America’s military hegemony. Indeed, the failure of the former could only exacerbate the latter.

Biden’s domestic policy is considerably better, but even there he doesn’t go far enough. His healthcare plan is a substantial step forward, improving upon the progress already made by Obamacare; but it’s still not the single-payer healthcare system we really need. He has some good policy ideas for directly combating discrimination, but isn’t really addressing the deep structural sources of systemic racism. His anti-poverty programs would be a step in the right direction, but are clearly insufficient.

Third, Democrats did not make significant gains in Congress, and while they kept the majority in the House, they are unlikely to gain control of the Senate. Because the Senate is so powerful and Mitch McConnell is so craven, this could be disastrous for Biden’s ability to govern.

But there is an even more serious problem we must face as a country: Trump got 70 million votes. Even after all he did—his endless lies, his utter incompetence, his obvious corruption—and all that happened—the mishandled pandemic, the exacerbated recession—there were still 70 million people willing to vote for Trump. I said it from the beginning: I have never feared Trump nearly so much as I fear an America that could elect him.

Yes, of course he would have had a far worse shot if our voting system were better: Several viable parties, range voting, and no Electoral College would have all made things go very differently than they did in 2016. But the fact remains that tens of millions of Americans were willing to vote for this man not once, but twice.

What can explain the support of so many people for such an obviously terrible leader?

First, there is misinformation: Our mass media is biased and can give a very distorted view of the world. Someone whose view of world events was shaped entirely by right-wing media like Fox News (let alone OAN) might not realize how terrible Trump is, or might be convinced that Biden is somehow even worse. Yet today, in the 21st century, our access to information is virtually unlimited. Anyone who really wanted to know what Trump is like would be able to find out—so whatever ignorance or misinformation Trump voters had, they bear the greatest responsibility for it.

Then, there is discontent: Growth in total economic output has greatly outpaced growth in real standard of living for most Americans. While real per-capita GDP rose from $26,000 in 1974 to$56,000 today (a factor of 2.15, or 1.7% per year), real median personal income only rose from $25,000 to$36,000 (a factor of 1.44, or 0.8% per year). This reflects the fact that more and more of our country’s wealth is being concentrated in the hands of the rich. Combined with dramatically increased costs of education and healthcare, this means that most American families really don’t feel like their standard of living has meaningfully improved in a generation or more.

Yet if people are discontent with how our economy is run… why would they vote for Donald Trump, who epitomizes everything that is wrong with that system? The Democrats have not done enough to fight rising inequality and spiraling healthcare costs, but they have at least done something—raising taxes here, expanding Medicaid there. This is not enough, since it involves only tweaking the system at the edges rather than solving the deeper structural problems—but it has at least some benefit. The Republicans at their best have done nothing, and at their worst actively done everything in their power to exacerbate rising inequality. And Trump is no different in this regard than any other Republican; he promised more populist economic policy, but did not deliver it in any way. Do people somehow not see that?

I think we must face up to the fact that racism and sexism are clearly a major part of what motivates supporters of Trump. Trump’s core base consists of old, uneducated White men. Women are less likely to support him, and young people, educated people, and people of color are far less likely to support him. The race gap is staggering: A mere 8% of Black people support Trump, while 54% of White people do. While Asian and Hispanic voters are not quite so univocal, still it’s clear that if only non-White people had voted Biden would have won an utter landslide and might have taken every state—yes, likely even Florida, where Cuban-Americans did actually lean slightly toward Trump. The age and education gaps are also quite large: Among those under 30, only 30% support Trump, while among those over 65, 52% do. Among White people without a college degree, 64% support Trump, while among White people with a college degree, only 38% do. The gender gap is smaller, but still significant: 48% of men but only 42% of women support Trump. (Also the fact that the gender gap was smaller this year than in 2016 could reflect the fact that Clinton was running for President but Harris was only running for Vice President.)

We shouldn’t ignore the real suffering and discontent that rising inequality has wrought, nor should we dismiss the significance of right-wing propaganda. Yet when it comes right down to it, I don’t see how we can explain Trump’s popularity without recognizing that an awful lot of White men in America are extremely racist and sexist. The most terrifying thing about Trump is that millions of Americans do know what he’s like—and they’re okay with that.

Trump will soon be gone. But many others like him remain. We need to find a way to fix this, or the next racist, misogynist, corrupt, authoritarian psychopath may turn out to be a lot less foolish and incompetent.

# What meritocracy trap?

Nov 1 JDN 2459155

So I just finished reading The Meritocracy Trap by David Markovits.

The basic thesis of the book is that America’s rising inequality is not due to a defect in our meritocratic ideals, but is in fact their ultimate fruition. Markovits implores us to reject the very concept of meritocracy, and replace it with… well, something, and he’s never very clear about exactly what.

The most frustrating thing about reading this book is trying to figure out where Markovits draws the line for “elite”. He rapidly jumps between talking about the upper quartile, the upper decile, the top 1%, and even the top 0.1% or top 0.01% while weaving his narrative. The upper quartile of the US contains 75 million people; the top 0.01% contains only 300,000. The former is the size of Germany, the latter the size of Iceland (which has fewer people than Long Beach). Inequality which concentrates wealth in the top quartile of Americans is a much less serious problem than inequality which concentrates wealth in the top 0.01%. It could still be a problem—those lower three quartiles are people too—but it is definitely not nearly as bad.

I think it’s particularly frustrating to me personally, because I am an economist, which means both that such quantitative distinctions are important to me, and also that whether or not I myself am in this “elite” depends upon which line you are drawing. Do I have a post-graduate education? Yes. Was I born into the upper quartile? Not quite, but nearly. Was I raised by married parents in a stable home? Certainly. Am I in the upper decile and working as a high-paid professional? Hopefully I will be soon. Will I enter the top 1%? Maybe, maybe not. Will I join the top 0.1%? Probably not. Will I ever be in the top 0.01% and a captain of industry? Almost certainly not.

So, am I one of the middle class who are suffering alienation and stagnation, or one of the elite who are devouring themselves with cutthroat competition? Based on BLS statistics for economists and job offers I’ve been applying to, my long-term household income is likely to be about 20-50% higher than my parents’; this seems like neither the painful stagnation he attributes to the middle class nor the unsustainable skyrocketing of elite incomes. (Even 50% in 30 years is only 1.4% per year, about our average rate of real GDP growth.) Marxists would no doubt call me petit bourgeoisie; but isn’t that sort of the goal? We want as many people as possible to live comfortable upper-middle class lives in white-collar careers?

Markovits characterizes—dare I say caricatures—the habits of the middle-class versus the elite, and once again I and most people I know cross-cut them: I spend more time with friends than family (elite), but I cook familiar foods, not fancy dinners (middle); I exercise fairly regularly and don’t watch much television (elite) but play a lot of video games and sleep a lot as well (middle). My web searches involve technology and travel (elite), but also chronic illness (middle). I am a donor to Amnesty International (elite) but also play tabletop role-playing games (middle). I have a functional, inexpensive car (middle) but a top-of-the-line computer (elite)—then again that computer is a few years old now (middle). Most of the people I hang out with are well-educated (elite) but struggling financially (middle), civically engaged (elite) but pessimistic (middle). I rent my apartment and have a lot of student debt (middle) but own stocks (elite). (The latter seemed like a risky decision before the pandemic, but as stock prices have risen and student loan interest was put on moratorium, it now seems positively prescient.) So which class am I, again?

I went to public school (middle) but have a graduate degree (elite). I grew up in Ann Arbor (middle) but moved to Irvine (elite). Then again my bachelor’s was at a top-10 institution (elite) but my PhD will be at only a top-50 (middle). The beautiful irony there is that the top-10 institution is the University of Michigan and the top-50 institution is the University of California, Irvine. So I can’t even tell which class each of those events is supposed to represent! Did my experience of Ann Arbor suddenly shift from middle class to elite when I graduated from public school and started attending the University of Michigan—even though about a third of my high school cohort did exactly that? Was coming to UCI an elite act because it’s a PhD in Orange County, or a middle-class act because it’s only a top-50 university?

If the gap between these two classes is such a wide chasm, how am I straddling it? I honestly feel quite confident in characterizing myself as precisely the upwardly-mobile upper-middle class that Markovits claims no longer exists. Perhaps we’re rarer than we used to be; perhaps our status is more precarious; but we plainly aren’t gone.

Markovits keeps talking about “radical differences” “not merely in degree but in kind” between “subordinate” middle-class workers and “superordinate” elite workers, but if the differences are really that stark, why is it so hard to tell which group I’m in? From what I can see, the truth seems less like a sharp divide between middle-class and upper-class, and more like an increasingly steep slope from middle-class to upper-middle class to upper-class to rich to truly super-rich. If I had to put numbers on this, I’d say annual household incomes of about $50,000,$100,000, $200,000,$400,000, $1 million, and$10 million respectively. (And yet perhaps I should add more categories: Even someone who makes $10 million a year has only pocket change next to Elon Musk or Jeff Bezos.) The slope has gotten steeper over time, but it hasn’t (yet?) turned into a sharp cliff the way Markovits describes. America’s Lorenz curve is clearly too steep, but it doesn’t have a discontinuity as far as I can tell. Some of the inequalities Markovits discusses are genuine, but don’t seem to be particularly related to meritocracy. The fact that students from richer families go to better schools indeed seems unjust, but the problem is clearly not that the rich schools are too good (except maybe at the very top, where truly elite schools seem a bit excessive—five-figure preschool tuition?), but that the poor schools are not good enough. So it absolutely makes sense to increase funding for poor schools and implement various reforms, but this is hardly a radical notion—nor is it in any way anti-meritocratic. Providing more equal opportunities for the poor to raise their own station is what meritocracy is all about. Other inequalities he objects to seem, if not inevitable, far too costly to remove: Educated people are better parents, who raise their children in ways that make them healthier, happier, and smarter? No one is going to apologize for being a good parent, much less stop doing so because you’re concerned about what it does to inequality. If you have some ideas for how we might make other people into better parents, by all means let’s hear them. But I believe I speak for the entire upper-middle class when I say: when I have kids of my own, I’m going to read to them, I’m not going to spank them, and there’s not a damn thing you can do to change my mind on either front. Quite frankly, this seems like a heavy-handed satire of egalitarianism, right out of Harrison Bergeron: Let’s make society equal by forcing rich people to neglect and abuse their kids as much as poor people do! My apologies to Vonnegut: I thought you were ridiculously exaggerating, but apparently some people actually think like this. This is closely tied with the deepest flaw in the argument: The meritocratic elite are actually more qualified. It’s easy to argue that someone like Donald Trump shouldn’t rule the world; he’s a deceitful, narcissistic, psychopathic, incompetent buffoon. (The only baffling part is that 40% of American voters apparently disagree.) But it’s a lot harder to see why someone like Bill Gates shouldn’t be in charge of things: He’s actually an extremely intelligent, dedicated, conscientious, hard-working, ethical, and competent individual. Does he deserve$100 billion? No, for reasons I’ve talked about before. But even he knows that! He’s giving most of it away to highly cost-effective charities! Bill Gates alone has saved several million lives by his philanthropy.

Markovits tries to argue that the merits of the meritocratic elite are arbitrary and contextual, like the alleged virtues of the aristocratic class: “The meritocratic virtues, that is, are artifacts of economic inequality in just the fashion in which the pitching virtues are artifacts of baseball.” (p. 264) “The meritocratic achievement commonly celebrated today, no less than the aristocratic virtue acclaimed in the ancien regime, is a sham.” (p. 268)

But it’s pretty hard for me to see how things like literacy, knowledge of history and science, and mathematical skill are purely arbitrary. Even the highly specialized skills of a quantum physicist, software engineer, or geneticist are clearly not arbitrary. Not everyone needs to know how to solve the Schrodinger equation or how to run a polymerase chain reaction, but our civilization greatly benefits from the fact that someone does. Software engineers aren’t super-productive because of high inequality; they are super-productive because they speak the secret language of the thinking machines. I suppose some of the skills involved in finance, consulting, and law are arbitrary and contextual; but he makes it sound like the only purpose graduate school serves is in teaching us table manners.

Precisely by attacking meritocracy, Markovits renders his own position absurd. So you want less competent people in charge? You want people assigned to jobs they’re not good at? You think businesses should go out of their way to hire employees who will do their jobs worse? Had he instead set out to show how American society fails at achieving its meritocratic ideals—indeed, failing to provide equality of opportunity for the poor is probably the clearest example of this—he might have succeeded. But instead he tries to attack the ideals themselves, and fails miserably.

Markovits avoids the error that David Graeber made: Graeber sees that there are many useless jobs but doesn’t seem to have a clue why these jobs exist (and turns to quite foolish Marxian conspiracy theories to explain it). Markovits understands that these jobs are profitable for the firms that employ them, but unproductive for society as a whole. He is right; this is precisely what virtually the entire fields of finance, sales, advertising, and corporate law consist of. Most people in our elite work very hard with great skill and competence, and produce great profits for the corporations that employ them, all while producing very little of genuine societal value. But I don’t see how this is a flaw in meritocracy per se.

Nor does Markovits stop at accusing employment of being rent-seeking; he takes aim at education as well: “when the rich make exceptional investments in schooling, this does reduce the value of ordinary, middle-class training and degrees. […] Meritocratic education inexorably engenders a wasteful and destructive arms educational arms race, which ultimately benefits no one, not even the victors.” (p.153) I don’t doubt that education is in part such a rent-seeking arms race, and it’s worthwhile to try to minimize that. But education is not entirely rent-seeking! At the very least, is there not genuine value in teaching children to read and write and do arithmetic? Perhaps by the time we get to calculus or quantum physics or psychopathology we have reached diminishing returns for most students (though clearly at least some people get genuine value out of such things!), but education is not entirely comprised of signaling or rent-seeking (and nor do “sheepskin effects” prove otherwise).

My PhD may be less valuable to me than it would be to someone in my place 40 years ago, simply because there are more people with PhDs now and thus I face steeper competition. Then again, perhaps not, as the wage premium for college and postgraduate education has been increasing, not decreasing, over that time period. (How much of that wage premium is genuine social benefit and how much is rent-seeking is difficult to say.) In any case it’s definitely still valuable. I have acquired many genuine skills, and will in fact be able to be genuinely more productive as well as compete better in the labor market than I would have without it. Some parts of it have felt like a game where I’m just trying to stay ahead of everyone else, but it hasn’t all been that. A world where nobody had PhDs would be a world with far fewer good scientists and far slower technological advancement.

Abandoning meritocracy entirely would mean that we no longer train people to be more productive or match people to the jobs they are most qualified to do. Do you want a world where surgery is not done by the best surgeons, where airplanes are not flown by the best pilots? This necessarily means less efficient production and an overall lower level of prosperity for society as a whole. The most efficient way may not be the best way, but it’s still worth noting that it’s the most efficient way.

Really, is meritocracy the problem, or is it something else?

Markovits is clearly right that something is going wrong with American society: Our inequality is much too high, and our job market is much too cutthroat. I can’t even relate to his description of what the job market was like in the 1960s (“Old Economy Steve” has it right): “Even applicants for white-collar jobs received startlingly little scrutiny. For most midcentury workers, getting a job did not involve any application at all, in the competitive sense of the term.” (p.203)

In fact, if anything he seems to understate the difference across time, perhaps because it lets him overstate the difference across class (p. 203):

Today, by contrast, the workplace is methodically arranged around gradations of skill. Firms screen job candidates intensively at hiring, and they then sort elite and non-elite workers into separate physical spaces.

Only the very lowest-wage employers, seeking unskilled workers, hire casually. Middle-class employers screen using formal cognitive tests and lengthy interviews. And elite employers screen with urgent intensity, recruiting from only a select pool and spending millions of dollars to probe applicants over several rounds of interviews, lasting entire days.

Today, not even the lowest-wage employers hire casually! Have you ever applied to work at Target? There is a personality test you have to complete, which I presume is designed to test your reliability as an obedient corporate drone. Never in my life have I gotten a job that didn’t involve either a lengthy application process or some form of personal connection—and I hate to admit it, but usually the latter. It is literally now harder to get a job as a cashier at Target than it was to get a job as an engineer at Ford 60 years ago.

But I still can’t shake the feeling that meritocracy is not exactly what’s wrong here. The problem with the sky-high compensation packages at top financial firms isn’t that they are paid to people who are really good at their jobs; it’s that those jobs don’t actually accomplish anything beneficial for society. Where elite talent and even elite compensation is combined with genuine productivity, such as in science and engineering, it seems unproblematic (and I note that Markovits barely even touches on these industries, perhaps because he sees they would undermine his argument). The reason our economic growth seems to have slowed as our inequality has massively surged isn’t that we are doing too good a job of rewarding people for being productive.

Indeed, it seems like the problem may be much simpler: Labor supply exceeds labor demand.

Take a look at this graph from the Federal Reserve Bank of San Francisco:

[Beveridge_curve_data.png]

This graph shows the relationship over time between unemployment and job vacancies. As you can see, they are generally inversely related: More vacancies means less unemployment. I have drawn in a green line which indicates the cutoff between having more vacancies than unemployment—upper left—and having more unemployment than vacancies—lower right. We have almost always been in the state of having more unemployment than we have vacancies; notably, the mid-1960s were one of the few periods in which we had significantly more vacancies than unemployment.

For decades we’ve been instituting policies to try to give people “incentives to work”; but there is no shortage of labor in this country. We seem to have plenty of incentives to work—what we need are incentives to hire people and pay them well.

Indeed, perhaps we need incentives not to work—like a basic income or an expanded social welfare system. Thanks to automation, productivity is now astonishingly high, and yet we work ourselves to death instead of enjoying leisure.

And of course there are various other policy changes that have made our inequality worse—chiefly the dramatic drops in income tax rates at the top brackets that occurred under Reagan.

In fact, many of the specific suggestions Markovits makes—which, much to my chagrin, he waits nearly 300 pages to even mention—are quite reasonable, or even banal: He wants to end tax deductions for alumni donations to universities and require universities to enroll more people from lower income brackets; I could support that. He wants to regulate finance more stringently, eliminate most kinds of complex derivatives, harmonize capital gains tax rates to ordinary income rates, and remove the arbitrary cap on payroll taxes; I’ve been arguing for all of those things for years. What about any of these policies is anti-meritocratic? I don’t see it.

More controversially, he wants to try to re-organize production to provide more opportunities for mid-skill labor. In some industries I’m not sure that’s possible: The 10X programmer is a real phenomenon, and even mediocre programmers and engineers can make software and machines that are a hundred times as productive as doing the work by hand would be. But some of his suggestions make sense, such as policies favoring nurse practitioners over specialist doctors and legal secretaries instead of bar-certified lawyers. (And please, please reform the medical residency system! People die from the overwork caused by our medical residency system.)

But I really don’t see how not educating people or assigning people to jobs they aren’t good at would help matters—which means that meritocracy, as I understand the concept, is not to blame after all.

# How to be a good writer

Oct 25 JDN 2459148

“A writer is someone for whom writing is more difficult than it is for other people.”
~ Thomas Mann

“You simply sit down at the typewriter, open your veins, and bleed.”

~ Red Smith

Why is it so difficult to write well? Why is it that those of us who write the most often find it the most agonizing?

My guess is that many other art forms are similar, but writing is what I know best.

I have come to realize that there are four major factors which determine the quality of someone’s writing, and the pain and challenge of writing comes from the fact that they are not very compatible with one another.

The first is talent. To a certain degree, one can be born a better or worse writer, or become so through forces not of one’s own making. This one costs nothing to get if you already have it, but if you don’t have it, you can’t really acquire it. If you do lack talent, that doesn’t mean you can’t write; but it does limit how successful you are likely to be at writing. (Then again, some very poorly-written books have made some very large sums of money!) It’s also very difficult to know whether you really have talent; people tell me I do, so I suppose I believe them.

The second is practice. You must write and keep on writing. You must write many things in many contexts, and continue to write despite various pressures and obstacles trying to stop you from writing. Reading is also part of this process, as we learn new ways to use words by seeing how others have used them. In fact, you should read more words than you write.

The third is devotion. If you are to truly write well, you must pour your heart and soul into what you write. I can tell fairly quickly whether someone is serious about writing or not by seeing how they react to the metaphor I like to use: “I carve off shards of my soul and assemble them into robots that I release into the world; and when the robots fail, I wonder whether I have assembled them incorrectly, or if there is something fundamentally wrong with my soul itself.” Most people react with confusion. Serious writers nod along in agreement.

The fourth is criticism. You must seek out criticism from a variety of sources, you must accept that criticism, and you must apply it in improving your work in the future. You must avoid becoming defensive, but you must also recognize that disagreement will always exist. You will never satisfy everyone with what you write. The challenge is to satisfy as much of your target audience as possible.

And therein lies the paradox: For when you have devoted your heart and soul into a work, receiving criticism on it can make you want to shut down, wanting to avoid that pain. And thus, you stop practicing, and you stop improving.