Month: March 2024

Bundling the stakes to recalibrate ourselves

PNRJ cognitive science, heuristics and biases, personal , , , , , , , , , ,

Mar 31 JDN 2460402

In a previous post I reflected on how our minds evolved for an environment of immediate return: An immediate threat with high chance of success and life-or-death stakes. But the world we live in is one of delayed return: delayed consequences with low chance of success and minimal stakes.

We evolved for a world where you need to either jump that ravine right now or you’ll die; but we live in a world where you’ll submit a hundred job applications before finally getting a good offer.

Thus, our anxiety system is miscalibrated for our modern world, and this miscalibration causes us to have deep, chronic anxiety which is pathological, instead of brief, intense anxiety that would protect us from harm.

I had an idea for how we might try to jury-rig this system and recalibrate ourselves:

Bundle the stakes.

Consider job applications.

The obvious way to think about it is to consider each application, and decide whether it’s worth the effort.

Any particular job application in today’s market probably costs you 30 minutes, but you won’t hear back for 2 weeks, and you have maybe a 2% chance of success. But if you fail, all you lost was that 30 minutes. This is the exact opposite of what our brains evolved to handle.

So now suppose if you think of it in terms of sending 100 job applications.

That will cost you 30 times 100 minutes = 50 hours. You still won’t hear back for weeks, but you’ve spent weeks, so that won’t feel as strange. And your chances of success after 100 applications are something like 1-(0.98)^100 = 87%.

Even losing 50 hours over a few weeks is not the disaster that falling down a ravine is. But it still feels a lot more reasonable to be anxious about that than to be anxious about losing 30 minutes.

More importantly, we have radically changed the chances of success.

Each individual application will almost certainly fail, but all 100 together will probably succeed.

If we were optimally rational, these two methods would lead to the same outcomes, by a rather deep mathematical law, the linearity of expectation:
E[nX] = n E[X]

Thus, the expected utility of doing something n times is precisely n times the expected utility of doing it once (all other things equal); and so, it doesn’t matter which way you look at it.

But of course we aren’t perfectly rational. We don’t actually respond to the expected utility. It’s still not entirely clear how we do assess probability in our minds (prospect theory seems to be onto something, but it’s computationally harder than rational probability, which means it makes absolutely no sense to evolve it).

If instead we are trying to match up our decisions with a much simpler heuristic that evolved for things like jumping over ravines, our representation of probability may be very simple indeed, something like “definitely”, “probably”, “maybe”, “probably not”, “definitely not”. (This is essentially my categorical prospect theory, which, like the stochastic overload model, is a half-baked theory that I haven’t published and at this point probably never will.)

2% chance of success is solidly “probably not” (or maybe something even stronger, like “almost definitely not”). Then, outcomes that are in that category are presumably weighted pretty low, because they generally don’t happen. Unless they are really good or really bad, it’s probably safest to ignore them—and in this case, they are neither.

But 87% chance of success is a clear “probably”; and outcomes in that category deserve our attention, even if their stakes aren’t especially high. And in fact, by bundling them, we have even made the stakes a bit higher—likely making the outcome a bit more salient.

The goal is to change “this will never work” to “this is going to work”.

For an individual application, there’s really no way to do that (without self-delusion); maybe you can make the odds a little better than 2%, but you surely can’t make them so high they deserve to go all the way up to “probably”. (At best you might manage a “maybe”, if you’ve got the right contacts or something.)

But for the whole set of 100 applications, this is in fact the correct assessment. It will probably work. And if 100 doesn’t, 150 might; if 150 doesn’t, 200 might. At no point do you need to delude yourself into over-estimating the odds, because the actual odds are in your favor.

This isn’t perfect, though.

There’s a glaring problem with this technique that I still can’t resolve: It feels overwhelming.

Doing one job application is really not that big a deal. It accomplishes very little, but also costs very little.

Doing 100 job applications is an enormous undertaking that will take up most of your time for multiple weeks.

So if you are feeling demotivated, asking you to bundle the stakes is asking you to take on a huge, overwhelming task that surely feels utterly beyond you.

Also, when it comes to this particular example, I even managed to do 100 job applications and still get a pretty bad outcome: My only offer was Edinburgh, and I ended up being miserable there. I have reason to believe that these were exceptional circumstances (due to COVID), but it has still been hard to shake the feeling of helplessness I learned from that ordeal.

Maybe there’s some additional reframing that can help here. If so, I haven’t found it yet.

But maybe stakes bundling can help you, or someone out there, even if it can’t help me.

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.

How I feel is how things are

PNRJ cognitive science, core principles, personal , , , , , , , , , , ,

Mar 17 JDN 2460388

One of the most difficult things in life to learn is how to treat your own feelings and perceptions as feelings and perceptions—rather than simply as the way the world is.

A great many errors people make can be traced to this.

When we disagree with someone (whether it is as trivial as pineapple on pizza or as important as international law), we feel like they must be speaking in bad faith, they must be lying—because, to us, they are denying the way the world is. If the subject is important enough, we may become convinced that they are evil—for only someone truly evil could deny such important truths. (Ultimately, even holy wars may come from this perception.)


When we are overconfident, we not only can’t see that; we can scarcely even consider that it could be true. Because we don’t simply feel confident; we are sure we will succeed. And thus if we do fail, as we often do, the result is devastating; it feels as if the world itself has changed in order to make our wishes not come true.

Conversely, when we succumb to Impostor Syndrome, we feel inadequate, and so become convinced that we are inadequate, and thus that anyone who says they believe we are competent must either be lying or else somehow deceived. And then we fear to tell anyone, because we know that our jobs and our status depend upon other people seeing us as competent—and we are sure that if they knew the truth, they’d no longer see us that way.

When people see their beliefs as reality, they don’t even bother to check whether their beliefs are accurate.

Why would you need to check whether the way things are is the way things are?

This is how common misconceptions persist—the information needed to refute them is widely available, but people simply don’t realize they needed to be looking for that information.

For lots of things, misconceptions aren’t very consequential. But some common misconceptions do have large consequences.

For instance, most Americans think that crime is increasing and worse now than it was 30 or 50 years ago. (I tested this on my mother this morning; she thought so too.) It is in fact much, much better—violent crimes are about half as common in the US today as they were in the 1970s. Republicans are more likely to get this wrong than Democrats—but an awful lot of Democrats still get it wrong.

It’s not hard to see how that kind of misconception could drive voters into supporting “tough on crime” candidates who will enact needlessly harsh punishments and waste money on excessive police and incarceration. Indeed, when you look at our world-leading spending on police and incarceration (highest in absolute terms, third-highest as a portion of GDP), it’s pretty clear this is exactly what’s happening.

And it would be so easy—just look it up, right here, or here, or here—to correct that misconception. But people don’t even think to bother; they just know that their perception must be the truth. It never even occurs to them that they could be wrong, and so they don’t even bother to look.

This is not because people are stupid or lazy. (I mean, compared to what?) It’s because perceptions feel like the truth, and it’s shockingly difficult to see them as anything other than the truth.

It takes a very dedicated effort, and no small amount of training, to learn to see your own perceptions as how you see things rather than simply how things are.

I think part of what makes this so difficult is the existential terror that results when you realize that anything you believe—even anything you perceive—could potentially be wrong. Basically the entire field of epistemology is dedicated to understanding what we can and can’t be certain of—and the “can’t” is a much, much bigger set than the “can”.

In a sense, you can be certain of what you feel and perceive—you can be certain that you feel and perceive them. But you can’t be certain whether those feelings and perceptions correspond to your external reality.

When you are sad, you know that you are sad. You can be certain of that. But you don’t know whether you should be sad—whether you have a reason to be sad. Often, perhaps even usually, you do. But sometimes, the sadness comes from within you, or from misperceiving the world.

Once you learn to recognize your perceptions as perceptions, you can question them, doubt them, challenge them. Training your mind to do this is an important part of mindfulness meditation, and also of cognitive behavioral therapy.

But even after years of training, it’s still shockingly hard to do this, especially in the throes of a strong emotion. Simply seeing that what you’re feeling—about yourself, or your situation, or the world—is not an entirely accurate perception can take an incredible mental effort.

We really seem to be wired to see our perceptions as reality.

This makes a certain amount of sense, in evolutionary terms. In an ancestral environment where death was around every corner, we really didn’t have time to stop and thinking carefully about whether our perceptions were accurate.

Two ancient hominids hear a sound that might be a tiger. One immediately perceives it as a tiger, and runs away. The other stops to think, and then begins carefully examining his surroundings, looking for more conclusive evidence to determine whether it is in fact a tiger.

The latter is going to have more accurate beliefs—right up until the point where it is a tiger and he gets eaten.

But in our world today, it may be more dangerous to hold onto false beliefs than to analyze and challenge our beliefs. We may harm ourselves—and others—more by trusting our perceptions too much rather than by taking the time to analyze them.

Against Self-Delusion

PNRJ cognitive science, core principles, personal , , , , , , , , , , , , , ,

Mar 10 JDN 2460381

Is there a healthy amount of self-delusion? Would we be better off convincing ourselves that the world is better than it really is, in order to be happy?


A lot of people seem to think so.

I most recently encountered this attitude in Kathryn Schulz’s book Being Wrong (I liked the TED talk much better, in part because it didn’t have this), but there are plenty of other examples.

You’ll even find advocates for this attitude in the scientific literature, particularly when talking about the Lake Wobegon Effect, optimism bias, and depressive realism.

Fortunately, the psychology community seems to be turning away from this, perhaps because of mounting empirical evidence that “depressive realism” isn’t a robust effect. When I searched today, it was easier to find pop psych articles against self-delusion than in favor of it. (I strongly suspect that would not have been true about 10 years ago.)

I have come up with a very simple, powerful argument against self-delusion:

If you’re allowed to delude yourself, why not just believe everything is perfect?

If you can paint your targets after shooting, why not always paint a bullseye?

The notion seems to be that deluding yourself will help you achieve your goals. But if you’re going to delude yourself, why bother achieving goals? You could just pretend to achieve goals. You could just convince yourself that you have achieved goals. Wouldn’t that be so much easier?

The idea seems to be, for instance, to get an aspiring writer to actually finish the novel and submit it to the publisher. But why shouldn’t she simply imagine she has already done so? Why not simply believe she’s already a bestselling author?

If there’s something wrong with deluding yourself into thinking you’re a bestselling author, why isn’t that exact same thing wrong with deluding yourself into thinking you’re a better writer than you are?

Once you have opened this Pandora’s Box of lies, it’s not clear how you can ever close it again. Why shouldn’t you just stop working, stop eating, stop doing anything at all, but convince yourself that your life is wonderful and die in a state of bliss?

Granted, this is not generally what people who favor (so-called) “healthy self-delusion” advocate. But it’s difficult to see any principled reason why they should reject it. Once you give up on tying your beliefs to reality, it’s difficult to see why you shouldn’t just say that anything goes.

Why are some deviations from reality okay, but not others? Is it because they are small? Small changes in belief can still have big consequences: Believe a car is ten meters behind where it really is, and it may just run you over.

The general approach of “healthy self-delusion” seems to be that it’s all right to believe that you are smarter, prettier, healthier, wiser, and more competent than you actually are, because that will make you more confident and therefore more successful.

Well, first of all, it’s worth pointing out that some people obviously go way too far in that direction and become narcissists. But okay, let’s say we find a way to avoid that. (It’s unclear exactly how, since, again, by construction, we aren’t tying ourselves to reality.)

In practice, the people who most often get this sort of advice are people who currently lack self-confidence, who doubt their own abilities—people who suffer from Impostor Syndrome. And for people like that (and I count myself among them), a certain amount of greater self-confidence would surely be a good thing.

The idea seems to be that deluding yourself to increase your confidence will get you to face challenges and take risks you otherwise wouldn’t have, and that this will yield good outcomes.

But there’s a glaring hole in this argument:

If you have to delude yourself in order to take a risk, you shouldn’t take that risk.

Risk-taking is not an unalloyed good. Russian Roulette is certainly risky, but it’s not a good career path.

There are in fact a lot of risks you simply shouldn’t take, because they aren’t worth it.

The right risks to take are the ones for which the expected benefit outweighs the expected cost: The one with the highest expected utility. (That sounds simple, and in principle it is; but in practice, it can be extraordinarily difficult to determine.)

In other words, the right risks to take are the ones that are rational. The ones that a correct view of the world will instruct you to take.

That aspiring novelist, then, should write the book and submit it to publishers—if she’s actually any good at writing. If she’s actually terrible, then never submitting the book is the correct decision; she should spend more time honing her craft before she tries to finish it—or maybe even give up on it and do something else with her life.

What she needs, therefore, is not a confident assessment of her abilities, but an accurate one. She needs to believe that she is competent if and only if she actually is competent.

But I can also see how self-delusion can seem like good advice—and even work for some people.

If you start from an excessively negative view of yourself or the world, then giving yourself a more positive view will likely cause you to accomplish more things. If you’re constantly telling yourself that you are worthless and hopeless, then convincing yourself that you’re better than you thought is absolutely what you need to do. (Because it’s true.)

I can even see how convincing yourself that you are the best is useful—even though, by construction, most people aren’t. When you live in a hyper-competitive society like ours, where we are constantly told that winning is everything, losers are worthless, and second place is as bad as losing, it may help you get by to tell yourself that you really are the best, that you really can win. (Even weirder: “Winning isn’t everything; it’s the only thing.” Uh, that’s just… obviously false? Like, what is this even intended to mean that “Winning is everything” didn’t already say better?)

But that’s clearly not the right answer. You’re solving one problem by adding another. You shouldn’t believe you are the best; you should recognize that you don’t have to be. Second place is not as bad as losing—and neither is fifth, or tenth, or fiftieth place. The 100th-most successful author in the world still makes millions writing. The 1,000th-best musician does regular concert tours. The 10,000th-best accountant has a steady job. Even the 100,000th-best trucker can make a decent living. (Well, at least until the robots replace him.)

Honestly, it’d be great if our whole society would please get this memo. It’s no problem that “only a minority of schools play sport to a high level”—indeed, that’s literally inevitable. It’s also not clear that “60% of students read below grade level” is a problem, when “grade level” seems to be largely defined by averages. (Literacy is great and all, but what’s your objective standard for “what a sixth grader should be able to read”?)

We can’t all be the best. We can’t all even be above-average.

That’s okay. Below-average does not mean inadequate.

That’s the message we need to be sending:

You don’t have to be the best in order to succeed.

You don’t have to be perfect in order to be good enough.

You don’t even have to be above-average.

This doesn’t require believing anything that isn’t true. It doesn’t require overestimating your abilities or your chances. In fact, it asks you to believe something that is more true than “You have to be the best” or “Winning is everything”.

If what you want to do is actually worth doing, an accurate assessment will tell you that. And if an accurate assessment tells you not to do it, then you shouldn’t do it. So you have no reason at all to strive for anything other than accurate beliefs.

With this in mind, the fact that the empirical evidence for “depressive realism” is shockingly weak is not only unsurprising; it’s almost irrelevant. You can’t have evidence against being rational. If deluded people succeed more, that means something is very, very wrong; and the solution is clearly not to make more people deluded.

Of course, it’s worth pointing out that the evidence is shockingly weak: Depressed people show different biases, not less bias. And in fact they seem to be more overconfident in the following sense: They are more certain that what they predict will happen is what will actually happen.

So while most people think they will succeed when they will probably fail, depressed people are certain they will fail when in fact they could succeed. Both beliefs are inaccurate, but the depressed one is in an important sense more inaccurate: It tells you to give up, which is the wrong thing to do.

“Healthy self-delusion” ultimately amounts to trying to get you to do the right thing for the wrong reasons. But why? Do the right thing for the right reasons! If it’s really the right thing, it should have the right reasons!

Why Leap Years?

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Mar 3 JDN 2460374

When this post goes live it will be March 3, not March 4, because February had an extra day this year. But what is this nonsense? Why are we adding a day to February?


There are two parts to this answer.

One part is fundamental astronomical truth.

The other part is historically contingent nonsense.

The fundamental astronomical truth is that Earth’s solar year is not an even multiple of its solar day. That’s kind of what you’d expect, seeing as the two are largely independent. (Actually it’s not as obvious as you might think, because orbital resonances actually do make many satellites have years that are even multiples of or even equal to their days—the latter is called tidal locking.)

So if we’re going to measure time in both years and days, one of two things will happen:

  1. The first day of the year will move around, relative to the solstices—and therefore relative to the seasons.
  2. We need to add or subtract days from some years and not others.

The Egyptians took option 1: 365 days each year, no nonsense, let the solstices fall where they may.

The Romans, on the other hand, had both happen—the Julian calendar did have leap years, but it got them slightly wrong, and as a result the first day of the year gradually moved around. (It’s now about two weeks off, if you were to still use the Julian calendar.)

It wasn’t until the Gregorian calendar that we got a good enough leap year system to stop this from happening—and even it is really only an approximation that would eventually break down and require some further fine-tuning. (It’s just going to be several thousand years, so we’ve got time.)

So, we need some sort of leap year system. Fine. But why this one?

And that’s where the historically contingent nonsense comes in.

See, if you have 365.2422 days per year, and a moon that orbits around you in every 27.32 days, the obvious thing to do would be to find a calendar that divides 365 or 366 into units of 27 or 28.

And it turns out you can actually do that pretty well, by having 13 months, each of 28 days, as well as 5 extra days on normal years and 6 extra days on leap years. (They could be the winter solstice holiday season, for instance.)

You could even make each month exactly 4 weeks of 7 days, if for some reason you like 7-day weeks (not really sure why we do).

But no, that’s not what we did. Of course it’s not.

13 is an unlucky number in Christian societies, because of the betrayal of Judas (though it could even go back further than that).

So we wanted to have only 12 months. Okay, fine.

Then each month is 30 days and we have 5 extra days like before? Oh no, definitely not.

7 months are 30 days and 5 months are 31 days? No, that would be too easy.

7 months are 31 days, 5 are 30, and 1 is 28, unless it’s 29? Uh… what?

Why this is so has all sorts of reasons:

There’s the fact that the months of July and August were created to honor Julius and Augustus respectively.

There’s the fact that there used to be an entire intercalary month which was 27 or 28 days long and functioned kind of like February does now (but it wasn’t February, which already existed).

There are still other calendars in use, such as the Coptic Calendar, the Chinese lunisolar calendar, and the Hijri Calendar. Indeed, what calendar you use seems to be quite strictly determined by your society’s predominant religious denominations.

Basically, it’s a mess. (And it makes programming that involves dates and times surprisingly hard.)

But calendars are the coordination mechanism par excellence, and here’s the thing about coordination mechanisms:

Once you have one, it’s really hard to change it.

The calendar everyone wants to use is whatever calendar everyone else is using. In order to get anyone to switch, we need to get most people to switch. It doesn’t really matter which one is the best in theory; the best in practice is whatever is actually in use.

That is much easier to do when a single guy has absolute authority—as in, indeed, the Roman Empire and the Catholic Church, for the Julian and Gregorian calendars respectively.

There are other ways to accomplish it: The SI was developed intentionally as explicitly rational, and is in fact in wide use around the world. The French revolutionaries intentionally devised a better way to measure things, and actually got it to stick (mostly).

Then again, we never did adopt the French metric system for time. So it may be that time coordination, being the prerequisite for nearly all other forms of coordination, is so vital that it’s exceptionally difficult to change.

Further evidence in favor of this: The Babylonians used base-60 for everything. We literally only use it for time. And we use it for time… probably because we ultimately got it from them.

So while nobody seriously uses “rod“, “furlong“, “firkin“, or “buttload” (yes, that’s a real unit) sincerely anymore, we still use the same days, weeks, and months as the Romans and the same hours, minutes, and seconds as the Babylonians. (And while Americans may not use “fortnight” much, I can assure you that Brits absolutely do—and it’s really nice, because it doesn’t have the ambiguity of “biweekly” or “bimonthly” where it’s never quite clear whether the prefix applies to the rate or the period.)

So, in short, we’re probably stuck with leap years, and furthermore stuck with the weirdness of February.

The only thing I think is likely to seriously cause us to change this system would be widespread space colonization necessitating a universal calendar—but even then I feel like we’ll probably use whatever is in use on Earth anyway.

Even when we colonize space, I think the most likely scenario is that “day” and “year” will still mean Earth-day and Earth-year, and for local days and years you’d use something like “sol” and “rev”. It would just get too confusing to compare people’s ages across worlds otherwise—someone who is 11 on Mars could be 21 on Earth, but 88 on Mercury. (Are they a child, a young adult, or a senior citizen? They’re definitely a young adult—and it’s easiest to see that if you stick to Earth years. Maybe on Mars they can celebrate their 11th rev-sol, but on Earth it’s still their 21st birthday.)

So we’re probably going to be adding these leap years (and, most of us, forgetting which centuries don’t have one) until the end of time.