prior probability

To my North American readers, Happy Labor Day Weekend! Now, to the business at hand. This past week we have been surveying how Adam Smith uses lotteries in Book I, Chapter 10 of The Wealth of Nations — actual state-run lotteries and metaphorical ones — to describe our risk-taking behavior at an individual level, e.g. why we buy lottery tickets, why we neglect or under-insure against the occurrence of certain types of remote but real risks, and why we join certain trades and professions. But Smith saves the best for last. In Paragraph 33 of Book I, Ch. 10, Smith draws a direct connection between profits and risk:

“In all the different employments of stock, the ordinary rate of profit varies more or less with the certainty or uncertainty of the returns. These are in general less uncertain in the inland than in the foreign trade, and in some branches of foreign trade than in others; in the trade to North America, for example, than in that to Jamaica. The ordinary rate of profit always rises more or less with the risk.” (WN, I.x.33; my emphases)

But no sooner than making this observation about the direct relationship between profit and risk, Smith carves out an exception for people engaged in “the most hazardous of all trades”, i.e. smuggling:

“The ordinary rate of profit always rises more or less with the risk. It does not, however, seem to rise in proportion to it, or so as to compensate it completely. Bankruptcies are most frequent in the most hazardous trades. The most hazardous of all trades, that of a smuggler, though when the adventure succeeds it is likewise the most profitable, is the infallible road to bankruptcy. The presumptuous hope of success seems to act here as upon all other occasions, and to entice so many adventurers into those hazardous trades, that their competition reduces their profit below what is sufficient to compensate the risk.” (WN, I.x.33; my emphasis)

In other words, according to Adam Smith, illegal activities like smuggling, bank robbery, etc., etc. will attract a disproportionate number of profit-loving risk-seekers, and this excess number of law-breakers will put downward pressure on the returns from their illegal activities. But why would anyone be attracted to such “hazardous” (i.e. illegal) trades in the first place? Because of, what else?, optimism bias or “[t]he presumptuous hope of success”! (Id.) To bring our discussion of Smith’s survey of lotteries full circle, here we see a parallel between a profession like law, “where twenty fail for one that succeeds” (WN, I.x.22), a “trade” like smuggling or bank robbery, where everyone eventually fails!

But even more importantly (at least to me!), notice what Smith is not doing here. Unlike his contemporary Cesare Beccaria or Beccaria’s intellectual heir Gary Becker, Smith is not applying the standard rational actor model to explain law-breaking behavior. (After all, if criminals were indeed rational, they would realize that the rate of return from their illegal activities is too low!) Nor is Smith repeating the spurious cliché about poverty being the main cause of crime. (I say “spurious” because if this hackneyed and overused platitude were true, then all poor people would be criminals!) Instead of engaging in “blackboard economics” like Becker or Beccaria, Smith is using psychology to explain criminal conduct. For Smith, criminals are just as susceptible to optimism bias (i.e. “[t]he presumptuous hope of success”) as everyone else, and illegal activities are the most extreme example of risk-seeking behavior.

Nota bene: I will conclude my series on “Adam Smith and the psychology of probability” with some final thoughts in my next post.

In my previous post “The Army as Lottery“, we saw how according to Adam Smith in Paragraph 30 of Chapter 10 of Book I of The Wealth of Nations, “romantic hopes” of heroism and glory are what motivate many young men to enlist in the army. But for Smith, enlisting in the army is like buying a lottery ticket: the “prize” or jackpot could be a beneficial one — since you could win “honour and distinction” — but it could also be a detrimental one — you could be killed or maimed! (WN, I.x.30)

Curiously, however, Smith is generally far more sanguine about naval occupations than military careers on land, for he opens the next paragraph (Para. 31) with the following disclaimer: “The lottery of the sea is not altogether so disadvantageous as that of the army.” (WN, I.x.31) Why does Smith see the navy in a more favorable light than the army? There are two reasons why. One reason is practical. There is a market for sailors, not so much for soldiers. At the time Smith was writing The Wealth of Nations, Britain was a major sea power. A father will thus allow his son to join the navy because a stint in the naval forces will open up a world of opportunities for his son in Britain’s sea trade:

“The son of a creditable labourer or artificer may frequently go to sea with his father’s consent; but if he enlists as a soldier, it is always without it. Other people see some chance of his making something by the one trade: nobody but himself sees any of his making anything by the other.” (WN, I.x.31)

The other reason is technical: the variance between negative and positive prizes in Smith’s “lottery of the sea” is smaller than it is in the army. In plain English, when you play the naval lottery, the prizes are smaller but there are more of them! As a result, there are more opportunities for moving up the hierarchical military ladder in the navy than in the army, or in the immortal words of Adam Smith:

“The great admiral is less the object of public admiration than the great general, and the highest success in the sea service promises a less brilliant fortune and reputation than equal success in the land. The same difference runs through all the inferior degrees of preferment in both. By the rules of precedency a captain in the navy ranks with a colonel in the army; but he does not rank with him in the common estimation. As the great prizes in the lottery are less, the smaller ones must be more numerous. Common sailors, therefore, more frequently get some fortune and preferment than common soldiers; and the hope of those prizes is what principally recommends the trade.” (WN, I.x.31)

But “the lottery of the sea” is not all sunshine and rainbows. Smith devotes most of this paragraph explaining why the wages of “common sailors” are no greater than the wages of regular workmen on land:

“Though their skill and dexterity are much superior to that of almost any artificers, and though their whole life is one continual scene of hardship and danger, yet for all this dexterity and skill, for all those hardships and dangers, while they remain in the condition of common sailors, they receive scarce any other recompense but the pleasure of exercising the one and of surmounting the other. Their wages are not greater than those of common labourers at the port which regulates the rate of seamen’s wages. As they are continually going from port to port, the monthly pay of those who sail from all the different ports of Great Britain is more nearly upon a level than that of any other workmen in those different places; and the rate of the port to and from which the greatest number sail, that is the port of London, regulates that of all the rest.” (WN, I.x.31; my emphasis) [*]

But don’t sailors get “free” room and board while they are at sea? Yes, but the navy does not house or feed their wives and children:

“The sailor, indeed, over and above his pay, is supplied with provisions. Their value, however, may not perhaps always exceed the difference between his pay and that of the common labourer; and though it sometimes should, the excess will not be clear gain to the sailor, because he cannot share it with his wife and family, whom he must maintain out of his wages at home.” (WN, I.x.31)

In short, there is literally no free lunch! But if the wages of regular sailors in the naval forces are not so great, why would anyone want to join the navy? Smith explains why in Paragraph 32 of Book I, Ch. 10:

“The dangers and hairbreadth escapes of a life of adventures, instead of disheartening young people, seem frequently to recommend a trade to them. A tender mother, among the inferior ranks of people, is of afraid to send her son to school at a seaport town, lest the sight of the ships and the conversation and adventures of the sailors should entice him to go to sea.” (WN, I.x.32; my emphasis)

But as Smith further explains, this “distant prospect” of adventures is itself a form of compensation, so the navy (and the army!) can get away with paying low wages. If you want to get paid more, you need to join a more boring or prosaic trade that is “unwholesome”:

“The distant prospect of hazards, from which we can hope to extricate ourselves by courage and address, is not disagreeable to us, and does not raise the wages of labour in any employment. It is otherwise with those in which courage and address can be of no avail. In trades which are known to be very unwholesome, the wages of labour are always remarkably high. Unwholesomeness is a species of disagreeableness, and its effects upon the wages of labour are to be ranked under that general head.” (WN, I.x.32; my emphasis)

What does Smith mean by “unwholesome” and “disagreeable[]”, and to what extent, if any, are these Smithian observations about these trades true today? What about policemen and firemen, for example? Are policing and fire-fighting two of Smith’s so-called “unwholesome” trades? And speaking of the police, what about criminal “trades” like smuggling and bank robbery? Is a life of crime more like Smith’s “lottery of the sea” (i.e. “a life of adventures”), or is it more like an “unwholesome” trade because of the social stigma and severe penalties attached to criminal conduct? We will address these questions in my post. (To be continued…)

In my previous post, we saw how the direct relationship between youth and risk-taking — the now-commonplace observation that young people are especially vulnerable to wishful thinking and risk-seeking thrills — can be traced back to Book I, Chapter 10 of The Wealth of Nations. For Adam Smith, the paradigm case of this risk-taking behavior is “the readiness of the common People to enlist as soldiers, or to go to sea.” (WN, I.x.29) Smith elaborates on these two examples in the next two paragraphs (Paras. 30 & 31) of Book I, Ch. 10.

First, Smith asks, why are young people so willing and eager to volunteer to join the armed forces–not only in times of peace but even when war is looming on the horizon? After all, by enlisting they are putting their very lives at risk! And yet, the outbreak of hostilities is the time when the armed forces are able to recruit the most, or in the immortal words of Adam Smith, “young volunteers never enlist so readily as at the beginning of a new war”! (WN, I.x.30) But why? According to Smith, the answer once again is optimism bias (“romantic hopes”), which is especially pronounced among young people:

“What a common soldier may lose is obvious enough. Without regarding the danger, however, young volunteers never enlist so readily as at the beginning of a new war; and though they [the young volunteers] have scarce any chance of preferment, they figure to themselves, in their youthful fancies, a thousand occasions of acquiring honour and distinction which never occur. These romantic hopes make the whole price of their blood. Their pay is less than that of common labourers, and in actual service their fatigues are much greater.” (WN, I.x.30; my emphasis)

In other words, enlisting in the armed forces is like buying a lottery ticket. The “prize” or jackpot could be a detrimental one, i.e. a negative prize or reverse jackpot (you could be killed or maimed), but it could also be a beneficial one: the acquisition of “honour and distinction.” (Id.) Either way, when a young man enlists in the army, he is essentially playing a kind of lottery. But this observation begs the question, Why would anyone participate in such a lottery when the probability of winning a negative prize is just as great, if not greater, than the probability of winning a positive prize? In two words: optimism bias, or to quote Adam Smith, “romantic hopes”! (Id.)

As an aside, notice how Smith further observes that these “romantic hopes” of glory and honor are a form of compensation. Even though soldiers end up doing much more work than their civilian counterparts do (“their fatigues are much greater”), they are paid less! How can this discrepancy be the case? Because a soldier’s compensation cannot be counted in just dollars and cents (or pounds and shillings). A soldier’s compensation includes the small chance that he will perform heroic deeds and become a national hero and be long remembered even after he is dead.

What about the navy? You would think the same lottery-like logic as above applies to the decision to become a sailor, but as it happens, Smith’s is far more sanguine about naval occupations than military careers on land. Why does Smith have much more positive things to say about the Navy? I will turn to this question in my next post. (To be continued…)

Thus far this week (see here and here), we have seen why Adam Smith can be considered to be the founder of behavioral economics. In summary, what Smith calls this “absurd presumption in [our] own good fortune” (i.e. optimism bias) in Book I, Chapter 10 of The Wealth of Nations, combined with the pull of our emotions, clouds our ability to make mathematically rational decisions in two ways:

On the one hand, our optimism bias and the emotional appeal of large prizes can cause us to overestimate the probability of winning in certain situations, such as state-run lotteries. (Para. 27) But at the same time, these cognitive quirks can also lead us to underestimate the probability of more distant or remote risks of misfortune. (Para. 28)

Next, in Paragraphs 29 and 32 of Chapter 10 of Book I of his magnum opus, Smith further observes that young people are especially risk-seeking:

“The contempt of risk and the presumptuous hope of success are in no period of life more active than at the age at which young people choose their professions. How little the fear of misfortune is then capable of balancing the hope of good luck appears still more evidently in the readiness of the common People to enlist as soldiers, or to go to sea, than in the eagerness of those of better fashion to enter into what are called the liberal professions.” (WN, I.x.29; my emphasis)

“The dangers and hairbreadth escapes of a life of adventures, instead of disheartening young people, seem frequently to recommend a trade to them.” (WN, I.x.32)

What is so utterly amazing about these passages in particular is just how prescient they are. Although young people today (Gen-Z, anyone?) are supposedly engaging in such risky behaviors as drinking, smoking, and pre-marital sex at lower rates than previous generations (see here, for example), young people still engage in more risky behavior than older adults overall! (A summary of the work of contemporary researcher of adolescent risk-taking, Laurence Steinberg, calls teens “risk junkies“! See also the TED Talk below.)

Also, as an intriguing aside, notice how Adam Smith compares and contrasts “readiness of the common People to enlist as soldiers” with “the eagerness of those of better fashion to into … the liberal professions.” (I.x.29) What Smith appears to be saying here is that a young man from a poor and middle-class background — e.g. “[t]he son of a creditable labourer or artificer” (I.x.31) — is even more likely to make bad or risky decisions than the scion of a powerful or wealthy family. Or more simply put, the operation of optimism bias not only has a temporal dimension; it also has a social class dimension for Smith!

In the next two passages (Paragraphs 30 & 31 of Book I, Chapter 10), Smith compares and contrasts the profession of a common soldier (Para. 30) with that of a sailor (Para. 31). We will turn to those two passages in my next post. (To be continued…)

Happy “1st of tha Month“! My previous post presented Adam Smith’s analysis of the psychology of lotteries. In summary, we buy lottery tickets out of the “vain hope” we might win a jackpot, i.e. we are motivated by the size of the prize, not the mathematical probability of winning. But what about negative lotteries like insurance? Why doesn’t the remote possibility of a large loss motivate more people to buy insurance?

For Adam Smith, the paradox is why insurance markets exist at all! Left to our own devices, most people will avoid buying any insurance because of optimism bias: we systematically underestimate the probability of loss. How many of the insurance policies pictured below, for example, would most people have if we weren’t required by law or “nudged” by our employers to have them?

Or in Adam Smith’s day, how many houses were insured against the risk of fire, or how many British ships were insured against the risk of loss at sea? It turns out, hardly any! According to Smith,

“Taking the whole kingdom at an average, nineteen houses in twenty, or rather perhaps ninety-nine in a hundred, are not insured from fire. Sea risk is more alarming to the greater part of people, and the proportion of ships insured to those not insured is much greater. Many fail, however, at all seasons, and even in time of war, without any insurance.” (WN, I.x.28; my emphasis)

Instead, the Scottish philosopher-economist introduces what is to my mind an even deeper paradox: if people systematically undervalue the risk of loss, why does insurance exist at all? How do insurance companies make money? According to Smith, they don’t! He reports:

“That the chance of loss is frequently undervalued, and scarce ever valued more than it is worth, we may learn from a very moderate profit of insurers. In order to make insurance, either from fire or sea-risk, a trade at all, the common premium must be sufficient to compensate the common losses, to pay the expense of management, and to afford such a profit as might have been drawn from an equal capital employed in any common trade. The person who pays no more than this evidently pays no more than the real value of the risk, or the lowest price at which he can reasonably expect to insure it. But though many people have made a little money by insurance, very few have made a great fortune; and from this consideration alone, it seems evident enough that the ordinary balance of profit and loss is not more advantageous in this than in other common trades by which so many people make fortunes.” (WN, I.x.28; my emphases)

Unlike modern economists, however, Smith’s goal is not chastise us for our irrational decisions. He concedes, for example, that eschewing insurance can sometimes be the right move:

“This [the decision to not buy any maritime insurance] may sometimes perhaps be done without any imprudence. When a great company, or even a great merchant, has twenty or thirty ships at sea, they may, as it were, insure one another. The premium saved upon them all may more than compensate such losses as they are likely to meet with in the common course of chances.” (WN, I.x.28)

But why is “the chance of loss … frequently undervalued” by most people? As with lotteries, Smith once again appeals to an emotional explanation:

“The neglect of insurance upon shipping, however, in the same manner as upon houses, is, in most cases, the effect of no such nice calculation, but of mere thoughtless rashness and presumptuous contempt of the risk.” (WN, I.x.28; my emphasis)

Notice how Adam Smith, irony of ironies, rejects the rational actor model of modern economics! People are not bloodless or rational automatons. When we buy lottery tickets with negative expected value, or when we refuse to insure our largest investments, we are letting our emotions take over.

But what if these decisions are the rational move, after all?! Perhaps the emotional thrill from the mere possibility of winning a large jackpot is worth the cost. And perhaps it makes sense to run the risk of a large catastrophe (like a house fire) given how remote and small this risk is. Aren’t all of our decisions in life like playing a lottery? Sometimes, the potential payoffs are large. Most of the time they are small. But what if the potential payoffs are actually negative? (To be continued…)

A strong case can be made that Adam Smith is the first behavioral economist, for he diagnoses not one but two major cognitive quirks in Paragraph 26 of Chapter 10 of Book I of The Wealth of Nations: the overconfidence effect and optimism bias. Moreover, according to the Scottish philosopher-economist, our overconfidence in “our own good fortune” distorts our risk-calculus abilities, causing us to overvalue potential rewards (“the chance of gain”) and to underestimate potential risks (“the chance of loss”):

“The over-weening conceit which the greater part of men have of their own abilities is an ancient evil remarked by the philosophers and moralists of all ages. Their absurd presumption in their own good fortune has been less taken notice of. It is, however, if possible, still more universal. There is no man living who, when in tolerable health and spirits, has not some share of it. The chance of gain is by every man more or less overvalued, and the chance of loss is by most men undervalued, and by scarce any man, who is in tolerable health and spirits, valued more than it is worth.” (WN, I.x.26)

In the next two paragraphs of his magnum opus (Paragraphs 27 & 28 of Book I, Ch. 10), Smith presents two textbook examples of our inability to make accurate risk assessments in the real world: (1) state-run lotteries, and (2) insurance policies. With respect to lotteries, Smith explains why the expected value of a lottery ticket is always a negative sum:

“The world neither ever saw, nor ever will see, a perfectly fair lottery; or one in which the whole gain compensated the whole loss; because the undertaker could make nothing by it. In the state lotteries the tickets are really not worth the price which is paid by the original subscribers, and yet commonly sell in the market for twenty, thirty, and sometimes forty per cent advance…. There is not, however, a more certain proposition in mathematics than that the more tickets you adventure upon, the more likely you are to be a loser. Adventure upon all the tickets in the lottery, and you lose for certain; and the greater the number of your tickets the nearer you approach to this certainty.” (WN, I.x.27)

In other words, the house always wins! So, why do people buy lottery tickets? Emotional reasons, pure and simple. We buy lottery tickets out of the “vain hope” we might win a life-altering jackpot, or in the immortal words of Adam Smith:

“The vain hope of gaining some of the great prizes is the sole cause of this demand [for lottery tickets]. The soberest people scarce look upon it as a folly to pay a small sum for the chance of gaining ten or twenty thousand pounds; though they know that even that small sum is perhaps twenty or thirty per cent more than the chance is worth.” (WN, I.x.27; my emphasis)

In short, people are motivated by the size of the prize, not the mathematical probability of winning. By contrast,

“In a lottery in which no prize exceeded twenty pounds, though in other respects it approached much nearer to a perfectly fair one than the common state lotteries, there would not be the same demand for tickets.” (WN, I.x.27)

Now, what about negative lotteries, like maritime insurance or fire insurance? I will discuss Adam Smith’s astute observations on insurance in my next post. (To be continued…)

To set the stage for the last part of my survey of Adam Smith’s use of probability in The Wealth of Nations, which I will resume on Monday, August 31st, below are links to some of the ground we have covered thus far:

1. Was Adam Smith a closet Bayesian?: Adam Smith uses the words “probability” and “probably” many times in his magnum opus.
2. Adam Smith’s contributions to probability theory?: Following the lead of my colleague Michael Emmett Brady, I single out three passages in The Wealth of Nations where Smith applies the concept of probability to economic behavior.
3. Adam Smith, Richard Price, and risk management: Smith anticipates the idea of “imprecise probabilities” in his description of the insurance business. (hat tip: Prof. Brady)
4. Politics and probability: Amid his discussion of retaliatory tariffs, Smith makes an important insight: when we are trying to figure out what the probability of a given event is (e.g., the probability that policy X will work as intended), we also have to figure out who is in the best position to calculate what the relevant probabilities are!
5. Adam Smith on self-deception: Smith explains why our career choices are like a lottery, why this lottery is sometimes rigged for or against us, and why some people prefer lotteries with negative expected value.
6. Adam Smith’s allegory: the lottery of life: I identify some open questions about Adam Smith’s lottery allegory.

In my previous post, we saw Adam Smith’s lottery analogy in Book I, Chapter 10 of The Wealth of Nations — or what I now like to call the “The Allegory of the Lottery” — where Smith describes the probability that one will have a successful career as a kind of lottery. Sometimes the odds of this lottery are fair. Sometimes they are not. And then I concluded my previous post with Smith’s prescient observation about “the natural confidence which every man has more or less, not only in his own abilities, but in his own good fortune.” (WN, I.x.23, p. 123)

As it happens, the father of economics has a lot more to say about lotteries and about “[t]he contempt of risk and the presumptuous hope of success” in the remainder of Book I, Chapter 10 of his magnum opus. (See especially paragraphs 26 to 33 of Book I, Chapter 10.) For now, however, I just want to point out how Smith’s allegorical lottery metaphor and his observation about the ubiquity of self-deception poses many intriguing, and perplexing, subsidiary questions.

Why, for example, is self-deception so pervasive in the first place? And why does this self-deception sometimes run in the opposite direction? That is, why do we, contra Smith, not only overestimate our chances of success but also overstate the risk of catastrophes? Or more simply put, how do we explain the lottery-insurance paradox: the fact that many of the same people who buy lottery tickets also pay for fire insurance? (See, for example, here, here, and here, as well as the infographic below.) I will return to these questions next week, starting on Monday, 31 August.

Thus far this week (see here and here), we have pored over two intriguing selections from The Wealth of Nations — intriguing because Smith refers to the concepts of probability and risk in both of those passages in order to shed light on two different aspects of the economy. (One is a short paragraph in Book V, Chapter 1 of Smith’s magnum opus on the business of insurance. The other passage consists of a much longer paragraph in Book IV, Chapter 2, where the Scottish scholar is discussing the imposition of retaliatory tariffs.) But, for me, the most original and profound of these probability passages in The Wealth of Nations appears in paragraphs 22 and 23 of Book I, Chapter 10. Here, Smith explains how, on average, one’s wages are a function of the probability of success in one’s chosen profession:

“The probability that any particular person shall ever be qualified for the employment to which he is educated is very different in different occupations. In the greater part of mechanic trades, success is almost certain; but very uncertain in the liberal professions. Put your son apprentice to a shoemaker, there is little doubt of his learning to make a pair of shoes; but send him to study the law, it is at least twenty to one if ever he makes such proficiency as will enable him to live by the business. In a perfectly fair lottery, those who draw the prizes ought to gain all that is lost by those who draw the blanks. In a profession where twenty fail for one that succeeds, that one ought to gain all that should have been gained by the unsuccessful twenty. The counsellor-at-law who, perhaps, at near forty years of age, begins to make something by his profession, ought to receive the retribution, not only of his own so tedious and expensive education, but that of more than twenty others who are never likely to make anything by it. How extravagant soever the fees of counsellors-at-law may sometimes appear, their real retribution is never equal to this. Compute in any particular place what is likely to be annually gained, and what is likely to be annually spent, by all the different workmen in any common trade, such as that of shoemakers or weavers, and you will find that the former sum will generally exceed the latter. But make the same computation with regard to all the counsellors and students of law, in all the different inns of court, and you will find that their annual gains bear but a very small proportion to their annual expense, even though you rate the former as high, and the latter as low, as can well be done. The lottery of the law, therefore, is very far from being a perfectly fair lottery; and that, as well as many other liberal and honourable professions, are, in point of pecuniary gain, evidently under-recompensed.” (WN, I.x.b.22, pp. 122-123)

In other words, to quote Smith, “the wages of labour in different employments vary according to the probability or improbability of success in them.” (WN, I.x.b.21, p. 122) Shoemaking, to borrow Smith’s example, is a low-risk profession in which “success is almost certain”. Why? Because anyone, no matter how slow-witted, can learn to make a decent pair of shoes with enough practice and training. As a result, although most shoemakers will make enough money to scrape by, none will become super-rich because low-risk professions produce, at best, average-level rewards.

The legal profession, however, is a high-risk profession. Why? Because getting a law degree is expensive in terms of both time and money, since it takes many years of formal studies to become a licensed attorney, and because most new attorneys are doomed to fail. According to Smith, out of a random sample of 21 lawyers, 95% (20 divided by 21) of them will end up scraping by, unable to make a good living in their chosen profession. Given these probabilities, doesn’t it make more sense to make shoes? So, why do so many young people still want to become lawyers? Smith explains why in the next paragraph (para. 23) of Book I, Chapter 10:

“Those professions keep their level, however, with other occupations, and, notwithstanding these discouragements, all the most generous and liberal spirits are eager to crowd into them. Two different causes contribute to recommend them. First, the desire of the reputation which attends upon superior excellence in any of them; and, secondly, the natural confidence which every man has more or less, not only in his own abilities, but in his own good fortune.” (WN, I.x.b.23, p. 123)

Smith thus identifies two variables to explain why lawyers outnumber shoemakers, even though the probability of success is much lower for lawyers than it is for shoemakers. One variable is the level of “public admiration” that a given profession has (I.x.b.24, p. 123), or as Smith more plainly puts it: “the desire of … reputation”. (I.x.b.23, p. 123) A lot of people want to join the legal profession because people generally admire lawyers more than they do shoemakers. (As an aside, Smith’s analysis of wage differentials in many ways sets the stage for Sherwin Rosen’s much-cited paper “The Economics of Superstars” (Rosen 1981), available here. See also paragraph 25 of Book I, Chapter 10 of The Wealth of Nations, where Smith explores the other side of the coin: those professions, like exotic dancers, that are considered a form of public prostitution.)

The other crucial variable is self-deception, or in the immortal words of Adam Smith, “the natural confidence which every man has more or less, not only in his own abilities, but in his own good fortune.” (I.x.b.23, p. 123) I will say more about self-deception in my next post. For now, I just want to say that Smith’s point about the psychology of self-deception is especially provocative and ahead of its time. It not only anticipates Robert Triver’s cutting-edge work on self-deception (see, for example, his 2011 book below); it also rejects and refutes the standard “rational actor model” that has been taught in introductory economics courses for generations! (To be continued …)