The horizon is not so far as we can see, but as far as we can imagine

Author: Ian Welsh Page 143 of 437

Ricardo’s Caveat

Ricardo

Ricardo

In 1817, David Ricardo formalized the Law of Comparative Advantage. Since then, it has stood the test of time as one of the very few laws that an economist can point to and say: “This is indisputably true.” It’s because of this law that you only rarely find an economist who doesn’t believe in unrestricted free trade. But Ricardo added an important caveat when he discussed free trade and comparative advantage, and it’s one that most modern economists seem to have forgotten…

Let’s quote straight from Ricardo:

In one and the same country, profits are, generally speaking, always on the same level; or differ only as the employment of capital may be more or less secure and agreeable. It is not so between different countries. If the profits of capital employed in Yorkshire, should exceed those of capital employed in London, capital would speedily move from London to Yorkshire, and an equality of profits would be effected; but if in consequence of the diminished rate of production in the lands of England, from the increase of capital and population, wages should rise, and profits fall, it would not follow that capital and population would necessarily move from England to Holland, or Spain, or Russia, where profits might be higher.

This is the Achilles heal of comparative advantage — the flaw in the foundation of free trade that causes outsourcing woes. Those who say that the law of comparative advantage proves that free trade is good are absolutely right, but they’ve forgotten his caveat.

Because, in Ricardo’s world, it was true that capital was not particularly mobile. It is not true in our world, and it wasn’t true in the Victorian world.

In a world in which I can move my capital freely between locales, in which I can also move my profits freely, and in which I don’t have to live where my capital is working, there is no reason to invest in any productive activity in my home country if I can make more money elsewhere.

The higher surplus locale is going to get as much free capital as it can soak up and as is available. The logic behind this is simple: Let’s say I have one million dollars to invest, and I can invest it in two different locales. In one place, I’ll get five percent return, in another a ten percent return. In both locales, I can take my profit and do what I want with it. I can live in either locale and, in both places, my money is secure from being seized by the government or destroyed by violence. Obviously, I’m going to put my money into the place with the higher returns.

When I get those profits, I’m going to sink any reinvestment into the place with the higher returns again. It’s a virtuous circle — if you’re the place with the higher returns, and it ends when returns even out or there is no more excess capacity.

If the higher-return country runs out of investment opportunities that pay higher than the low-return country, it makes no sense to invest in it. What matters here is the marginal rate of return — that is, the return on the next dollar of my investment. In principle, there ought to be diminishing returns; people snap up the good opportunities and, over time, the opportunities get worse and worse until returns equalize (this happens faster when currency values are decided independent of government intervention, but it doesn’t always happen — even in the long term, when we’re all dead).

Profit is just how much surplus you’re receiving. Let’s say my workers are capable of producing $5 of goods for every hour they work and my costs are $3/hour for everything (property, taxes, capital costs, and wages). I’m making $2 an hour for every worker I have working for me.

That’s Country A. In Country B, the average worker produces $10 an hour, but my costs are $9, so my surplus is $1. This is half the profit of Country A, even though my workers are more productive.

That’s why US workers are more productive and people are shipping jobs to China and India. Costs in the US are higher for property, wages, and taxation.

To stop capital (and jobs) moving from Country B to Country A, you have to increase surplus. There are two ways to do that: You can reduce costs (most easily by cutting taxes or wages), or you can increase productivity. If the average worker produces one more dollar of goods while costs stays the same, and Country A’s worker’s productivity doesn’t increase, then you’re even.

Or Country A could increase wages, taxation, or property costs and become less competitive.

In a world without mass capital flows, there was another way. You could have lower capital costs. But having the Fed set lower capital costs than another country means little — borrow in the US, invest it where the ROI is higher.

More than that, money you can’t use is, well, useless. Let’s say you’re investing in a factory in China, but you want to live in Europe or the US — and Europe and the US won’t let you use the money you have in China in their countries (or will only let a fraction back in). In this scenario, you’re not likely to invest in China, are you? In addition, money that can’t move is captive to political unrest and other such events, which gives mature, stable countries a big leg up. If moving money is hard or slow, then you’d better be sure that where you have it is stable because if something goes wrong, you can kiss it goodbye.

A key problem right now is demand. Capital flows to low-production-cost/high-surplus domiciles. But there’s only so much demand for goods and only a limited amount of growth in demand for goods. So you’ve got your profits, and you have to figure out what to do with them. You can’t plow all of it back into productive investment, because you’d wind up with more productive capacity than there is ability to buy the goods. As a result, the excess money has to go into nonproductive uses.

The money that does go into productive uses will go to the domiciles that produce the greatest surplus (profit). Many people have pointed out that the US hasn’t lost jobs to outsourcing, that’s only true in a technical sense. What has happened is that the new jobs have been mostly created overseas (in cases where they can be done overseas). Old jobs haven’t been moved (mostly) because of sunk capital costs. Once you’ve paid ten million dollars to create a factory, spending another ten million dollars to relocate the factory usually doesn’t make sense. But if you have to build a new factory anyway (either because you need more capacity or because the old factory would have to be replaced for some reason), then it makes sense to build it in the domicile with the higher surplus production. That’s exactly what we’ve seen over the last few years: China and India getting the new jobs in non-protected sectors. It’s not rocket science, it’s just ROI (Return On Investment).

Because you can’t put all the money back into production, you’ve got to stick some of the money elsewhere. And what we have going is a nice, reinforcing trend. Oldman has called it strip mining the US economy. The money is used to buy your customers’ assets or lent to your customers. In exchange, they put up as collateral either the full faith of their government (we’ll see how good that is in a few years) or their assets, which in the current case means mortgage-backed securities, bonds, and common shares in companies (which represent ownership of assets). They then use that money to buy your goods, and the cycle continues.

This vicious cycle (or virtuous if you’re the one getting rich, and you get out in time) results in excess productive capacity, a slow decline in employment in the low-surplus domicile, and an increase in debt in the low-surplus domicile. It also pushes costs in the low-surplus domicile lower (meaning wages and taxation, primarily).

In the meantime, if the developed world (and specifically the US) were to stop borrowing to buy, the entire engine would collapse. This is not a sustainable development; if the US were to buy only what it could afford, based on its own exports, there would be an economic shockwave — not just in the US, but in China, India, and other high-surplus/low-cost domiciles. And right now, the dynamic is being funded by taking money out of the US and other high-cost domiciles, which must ultimately end in a reduction of demand. If the low-cost domiciles, which have been getting the capital investment, are not capable of soaking up the excess capacity when the US’s consumption comes in line with what the US can afford, then you will have a worldwide recession at the least — and likely a depression.

Economics views systems as moving towards equilibrium. But it’s more useful to view systems as subject to multiple different tendencies. At any given time, different tendencies may be stronger than others. What should be happening is that US costs should drop and developing country costs should rise. It is happening, but it’s not happening very fast. Where these costs meet is going to be somewhere a lot south of the current US standard of living. In the meantime, the dynamic has the US shipping its capital and its growth in productive capacity to lower-cost/higher-surplus domiciles. This will continue until the conditions enabling it end and not before. The conditions which can end it are increased shipping costs (favouring more localized production), the evening out of surplus production, a political decision to discourage either trade or capital flows, or an unwillingness or inability of either the US to borrow or its creditors to lend (the end of the housing bubble strikes directly at this). Until then, capital will go to the higher returns, and since the highest returns on production are mostly not in the US, capital that creates production jobs will flow disproportionately away from the US while asset bubbles form in the United States in order to pay for imports. (And the assets they have bought, or allowed the US to borrow against, are likely to crash in the final days of this system. A suckers’ game all around, but the only thing worse than playing is trying to stop playing.)

(Originally published years ago at BOP news, I put it back up here because this is what is at the heart of problems with globalization and why comparative advantage no longer works. April 25, 2015 — and back to the top again, in honor of the Trans-Pacific Partnership Trade Agreement. Sept 2021, and again, twice a decade seems appropriate.)


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The Age Of Assassination

It’s forgotten now, but the invention of effective pistols created a period with a lot more assassinations.  Effective portable bombs made assassins even more effective. Archduke Franz Ferdinand, whose assassination started World War I, is the most famous victim, but hardly the only one.

We’re in the start of a golden Age of assassination. It has gone largely unremarked because the victims have been nobodies, and mostly in the developing nations like Iraq, Afghanistan, Pakistan, Libya, Syria and so on, though hardly limited to those war zones.

A large group of assassins have been drones (special forces hit squads are the other group.) Drones are not, as I have noted before, a technology of the rich and strong: a good mechanic can make a drone easily enough in their garage. Hezbollah has its own fleet of drones. Iran has invested in them. Turkey, while certainly a powerful nation is not a technological leader overall, but has become a leader in drones and especially autonomous drones.

Drones will get smaller, more deadly and harder to stop. More and more will become autonomous, so that they can’t be jammed.

Meanwhile, the NYTimes has a story about how Israel assassinated Iran’s top nuclear scientist:

Israel’s Mossad used an AI assisted 1 ton machine gun robot. Its parts were detached, smuggled into Iran and assembled inside Iran. The robot used facial recognition to recognize the target.

All of this tech is going to come back to bite our elites in the ass. As Dan points out, there’s no reason these types of technologies can’t be used to kill Western elites, and they will be. The reaction to then try and then clamp down on the technology will do huge harm to tech development, because the items needed to create a drone or stationary robot are simple, not complicated, and will become simpler and less complicated over time.

Ages of assassination aren’t pretty, and they increase political instability substantially. That isn’t always a bad thing, it depends if what’s on offer is better that the status quo, but it’s always a mess.

Technologies are never neutral and that is nowhere more true than technologies of violence. Firearms put a decisive end to the age of the knight, and allowed for the creation of mass democracy. Knights, when they became predominant did the opposite: they entrenched an age of aristocracy, because Knights were expensive as hell, and training to be a knight almost had to start in childhood.

How a technology starts is also not necessarily how it winds up being used predominantly. Consider the machine gun. For the first decades of its existence the machine gun was an offensive weapon: it was used by the Brits and then other colonial militaries to absolutely butcher native forces that dared to oppose them. It helped expand the British Empire and other colonial regimes.

Then came World War I, and it turned out that machine guns were actually a weapon of defense when both sides had them.

Drones have started as weapon by which elites terrorize the weak, and autonomous robots, especially, seem like a dream come true for the powerful. The great problem of power is always the Praetorian one: you need enforcers, and the more you insist on being far richer and out of touch with the commons, the more you need them, but the less you can trust them: whatever the pretense, they become mercenaries, and people who fight for money or for the right to loot and hurt people are never reliable.

Robots seem like the perfect solution, allowing elites to have a much smaller enforcement class; just the people who create and repair them. The real dream is that eventually loyal AIs will design and repair themselves, and non-elite humans will be completely unneeded. The elites will rule alone, with loyal robotic servants and no Praetorian problem or fears that in a revolution, the troops won’t shoot.

But an age of drone and autonomous robots, some of them as small as insects, but still deadly and operating in swarms, is not an age that seems likely to actually favor elites as much as they think, because, as noted earlier, it isn’t actually a hard tech: it’s hard to pioneer, yes, just as were early gunpowder weapons (which were used by Kings to destroy the power of the feudal nobility, since only they could afford enough cannon, and cannon trumped Medieval castles) but once it is pioneered, it will spread and it will be used against elites.

The only way to avoid that is to crack down, hard, on all the precursors, but since the precursors are so simple and basic to a technological society, doing so will make you backwards, and as with Japan completely controlling firearms, this only works if everyone does it everywhere in the world, otherwise one day the “White Ships” show up and you realize you’re helpless before them.

Simple, cheap, effective autonomous or semi-autonomous killing machines are an epochal military technology which is going to change everything if we can maintain societies capable of fielding them. Even in a semi-collapse, we may be able to do so, because they are, actually, simple.

The results are in the air, to be sure. No one in 1500, even, could predict all the results of firearms and the printing press.

But elite who think this will all to their way may find out, as they bleed out their last, just how wrong they were.


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Open Thread

Use the comments to discuss topics unrelated to recent posts. No Covid here.

The Art of Measurement

I want to talk a bit about management measurement. I recently spent a number of years in a good sized multinational, and I watched management trying to gain control through measurement. And mostly I watched as they gained the wrong sort of control; as they crystallized behaviour in ways that lose more from employees than they gained.

(This is an old, old piece, one of the few I saved from BOPnews. Originally written in 2004 back when I was still corporate. Since almost no one will have read it, and those who do won’t remember it, here it is again. I’m putting it back up because it relates fairly closely to the recent article on the lack of belief in good and why incentives rarely work.)

When you’re dealing with small numbers of people, simple measurements are all you need, and indeed the time spent measuring can be a simple waste of time. For larger groups, and as management becomes disassociated from the actual work of the organization, measuring is necessary so that management knows what is happening and can modify it. The old saying (which I’m sick of) is that “you can’t manage what you can’t measure.” It’s a statement with a lot of truth to it, but so is this – “you measure what you manage, so you’d better be sure you’re measuring what you want to manage.”

Here’s an example. A friend of mine used to do customer support for laptops. He was measured on how long he was on the phone and how quickly he picked up. If he spent too long on the phone on average, then he was taken aside and reprimanded. These measurements encouraged tech support employees to get people off the phone as quickly as possible, whether their problem was solved or not. Assuming management actually wanted happy customers (ie, that they saw tech support as a way to sell the next laptop, rather than something they had to do as cheaply as possible) then the way to measure this would be to have an automatic survey at the end of the phone call, asking how satisfied the client is. Since there will always be jerks who are never happy with phone support, you set the threshold at a certain percentage of “unhappy” customers and then if someone goes over that you investigate. To keep productivity up you measure phone time and compare to satisfaction ratios and (horrors) investigate individual reps who spend more time than normal on the phone, then coach them individually on how to solve problems with less chit-chat while still keeping the customer happy.

I’m going to discuss five issues related to measurement. The first is the problem of measuring what you can easily measure. Simply put, it may be more difficult to measure some things than others. Management tends to measure those things that are easy to measure. In a call center there are plenty of systems which will allow you to track a wild variety of phone stats, but you can’t measure one CSR helping another with a call. In sales you can measure how many sales a salesman makes and how much they’re worth, but it’s more difficult to measure whether he’s made verbal promises your company will have trouble living up to. You can measure the number of code lines a programmer put out, but it’s harder to measure how easy they will be to maintain down the line.

This is often a systems issue. Whatever the system assists your employees to do, is easy to measure. So if you have a system that presents work items, and which employees close those work items, it’s easy to measure how fast they’re doing them. But what if some work items are harder than others? And what happens to those employees who are taking calls or e-mails you can’t track and are helping customers or other employees with those problems – is that behaviour you don’t want to encourage? Because if you’re measuring only processing times then those who do other things will be measured as less productive. So they stop helping customers, and soon you have a reputation as having unresponsive employees who never want to take time to help people.

And this leads to the second issue, which is what I call Putting your Fingers Down. Another way of putting it, is “you get the behaviour you measure.” If a job involves 10 activities, and you publicly measure only 5 of them, your employees will gravitate towards those activities. It often seems obvious what an employee does. Let’s say you have repair techs in a retail store and you decide to measure their productivity by measuring how many appliances they repair. Sounds good eh? Productivity increases and you’re happy.

Until you start getting complaints that the repair techs don’t want to talk to customers, and that when they do all they seem to want to do is get away from them. You also hear that some techs are taking easy repairs and leaving the hard repairs for others, who put them off, because that boosts their stats. So easy repairs are getting done fast, the hard ones are getting done slower, and customers aren’t getting individual personal attention any more, so they aren’t happy. That worked well!

Which leads to what I call the The Limits of Coercion. Public measurement is a form of coercion. The idea is to measure people and then push them to do better and get rid of the ones who don’t measure up. You put your fingers down and say, “do this!” And you can absolutely do it. Whatever behaviour you are able and willing to take the time to measure, you can and will get. But what you can’t get is positive cooperation. You can’t make people do the extra things. And people resent the wrong type of measurement. The problem is that you as management think you understand the job. Problem is, unless you still do it yourself, you probably don’t. Outside of the sort of jobs that are truly subject to Taylorization, most jobs require a myriad of little tasks and if people don’t do them, the overall job suffers. If you start measuring the wrong specific things then people’s attitude when you pull them in for a talk is “I’m doing fine on the stats you said you want, I don’t have time for the other stuff.”

The other problem is that people subvert the measurements. There are almost always ways to make the numbers come out better than they should, and people will take the time to find them and do them. Which leads to the fourth issue, the question of “Public metrics and private metrics.” Simply put, when you’re setting up metrics you should first find out which metrics track each other; figure out why they track each other; and measure both sets. But one set you keep private and the other is the public set. If the private set starts diverging from the public set then you should investigate if people are fiddling with the public set. Odds are they are.

But the real, final point is that you should be looking for your “Bottom Line Metrics”. In a call center it might be the percentage of happy callers divided by the average time per call. In a processing center I once worked in the VP (a very wise man) used to publicly (I’m sure privately he had a number of measurements which had to remain satisficed) measure only one thing – the average time from a piece of work entering the center to the time it left. He didn’t measure any specific processing times – only how well the center was working overall. If that number went up he’d want to know why, and when he wanted it to go down he let people tell him how they were going to get it down, not the other way around. The center ran very well. When he left his successor started putting his fingers down and both customer satisfaction and employee happiness declined.

In the end you should ask yourself “what are we trying to accomplish?” Then you publicly measure that, and only that. It may seem that you want to do multiple things, but in most cases you can boil it down to one thing – as with the customer service center where happiness was divided by call times. You want people to go away happy after their call with the least time necessary to make them happy. If you can’t break it down then you either don’t understand what the job actually entails (or what your division or company does) or you may need to break the work into different functional groups.

Finally, don’t fall into the MBA trap. As a manager you probably don’t really know what your employees are doing. You probably don’t really understand what is required to do the job well. However unless you’ve beaten them down too hard, or you’ve got a crew of reprobates, most people want to do a good job. Most people want to be able to say “damn, we’re good!” Don’t treat them like untrustworthy children, and you may find that they’re on your side and that measuring only the bottom line, on the minimum, is sufficient. When you go to war with your employees and try and measure every specific behaviour, generally both sides lose.

(Originally published in 2004 at BopNews. Republished April 17, 2009.)


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The Lack of Belief in Good

Are humans good, bad, or neutral?

It’s an old philosophical debate and not just in the West. Confucius thought they were born neutral, for example, while the later Confucian Mencius felt they were good, noting that everyone who saw a child fall into a well would be horrified. Others, including many Confucians and the Christian church, with original sin, have felt that humans are born bad, and they have to be made good.

This is also the general view of the ruling ideology of the West: Ecnonomism. Humans are greedy, selfish, and only care for themselves. Popular biology, derived from books like Dawkins “The Selfish Gene” and 19th century social Darwinism has led to similar views.

If you think humans are bad, the question becomes how do you get them to do good? Traditional Christianity’s answer was, “Hit them while they’re kids, a lot, that’ll make them good.” (spare the rod, spoil the child), which can be judged fairly by Christianity’s record: “judge by the fruits” being reasonable when dealing with people who claim to follow Jesus.

Economism’s answer is, “If they’re greedy and selfish, give them rewards for doing what you want.”

Strangely, giving lots of rewards to bankers, CEOs, executives, and politicians has not made them better.

Now, of course, a pure selfishness/greed/incentives disciple might reply, “But they are the ones who decide what they get rewarded for, and that doesn’t make them good. You have to reward people for doing good!” But those same disciples are the folks, or descendants of the folks, who argued that the only thing corporate executives were responsible for was raising stock prices, and that giving them stock options was how to do that.

Didn’t work out. Teaching greedy people to be more greedy by rewarding their greed had the results one would expect: even more greed, in a lovely spiral upwards, while the middle and bottom of society had its heart cut out.

My own observation has been that when incentives are removed people are more likely to do the right thing. You don’t want doctors to own stock in drug companies, or make more money the more surgeries they do. Conversely, punishing surgeons for bad results actually lead to surgeons being unwilling to do risky surgeries which were still medically indicated: they wouldn’t want their success/fail rate to go down.

I’ve written in the past that I consider most humans neither good nor bad, but weak. They do more or less what their group wants. But really I’d say that humans, absent fear and incentives, have a slight bias to good. Most people like helping people, don’t like hurting people, and so on, as long as they themselves are not hurting or blinded by greed.

The moment a lot of people become chronically scared or greedy, however, that goes away. The scared are defensive and ready to be angry and hate, the greedy become sociopathic or even psychopathic, concerned only for themselves and, sometimes, a few people around them. Furthermore, incentives always cause tunnel vision — people pursuing incentives ignore everything that doesn’t get them to the incentive, and even well designed incentives leave out much that should be done.

As horrible as the idea is to us, the best thing to do with people is for leaders to be selected because they are kind and good, to set goals for oganizations without significant incentives (this doesn’t mean don’t track and correct), and remove fear from people. Make sure they know their needs will be met, and that no one wants to hurt them, and that help is available.

In such circumstances, strangely, people blossom. Happy people are more productive. About half of business literature can be summed up as, “If you treat employees well, they are way more productive, but most bosses are cunts who don’t want to do this, despite a huge preponderance of evidence.”

But when people are happy and not scared, of course, not only can you not get most of them to do evil, they don’t act servile and hop-to-it at your every command. For most bosses, ordering people around is the primary pleasure of the job (no, don’t pretend), even more than profit.

And since, with neoliberalism, they can be rich and have scared serfs jumping at their every statement of “frog,” recompense having almost no correlation with productivity or even profits, they can have the best of both worlds: rich and with what amounts to slaves, without the responsibility of caring for their servants.

This lies at the heart of all the screams about how Covid has made people unwilling to work at shitty minimum wage jobs, and government needs to stop giving them money, so they have no choice but to go groveling back to their masters for work they hate that may not even pay rent on a one-bedroom apartment.

If you insist on saying people are bad, then treating them badly, if you must be obeyed and show no concern for your slaves, then don’t be surprised if you live in Hell, and if the only thing keeping Hell from your own doors is having a TON of money.

There is another way, and maybe one day, having tried every evil thing, we’ll give it a shot.


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Once More Unto Covid and Schools

Given the state of testing, all numbers should be assumed to be significant understatements, yet…

Colorado, “more than half of all outbreaks are in K-12 schools.”

US overall:

“Well over a quarter-million children contracted COVID just last week, according to a joint report from the Children’s Hospital Association & the AAP which tracks all cases at the state level. It is the highest number of child COVID cases ever reported.

More than 18,000 Mississippi students have caught COVID-19 in the first month of the school year.

Florida:One out of every four COVID-19 infections recorded by the state in the most recent seven-day period were 19 or younger.

Texas schools have amassed more than 50,000 confirmed coronavirus cases in students in just a couple of weeks. More than a dozen school districts have closed temporarily as a result of the disease

Modeling of how many students can be expected to be infected under different conditions:

What matters the most is proper ventilation, but I’m guessing the assumption is that most schools have done nothing about this and will do nothing.

It’s unclear what percentage of children get Long Covid. I’ve seen numbers as high as ten percent, but it seems likely to be less. Assume, say, five percent, and that your kid WILL get Covid if sent back to school. Sound like a good chance to take? And that assumes the damage is easy to spot, and you won’t realize it exists later, as with more subtle brain or heart damage.

This looks like mass-insanity to me, a crime of vast proportions. Despite all the squealing, not going back to school won’t cripple kids for life, and won’t expose everyone in their family and social circle to Covid when they get it, crippling and killing many of them.

But I guess we’re just going to keep doing Covid the stupidest, longest, and most inhumane way we can. It’s who we are; it’s who we elected, and I daresay, it’s what we deserve.

But the kids don’t deserve it, it’s just their bad luck to be born into a depraved, incompetent, psychopathic late-imperial society.


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Open Thread

Use this thread to discuss topics unrelated to recent posts. Please keep vax/anti-vax discussion out of this thread as well.

How Monopolies and Oligopolies Cause Shortages

I don’t usually write “just go read this” posts, but I’m going to make an exception for this piece by Matt Stoller on how a monopolized economy causes shortages. This is the best article I’ve ever read on how monopolies and oligopolies work (Stoller tends to just say monopoly), and how their incentives systematically induce them to reduce the welfare of almost everyone in society.

Matt starts by noting that now that Uber and Lyft have destroyed Washington DC’s cab companies, waits for rides are now ten to 20 minutes, as well as being more expensive.

It was obvious that this was the play; destroy the cab industry by underpricing, then reap monopoly profits, and it’s something I pointed out repeatedly for years.

But Matt has put together a systematic explanation of how the entire process works which is the best I’ve seen, and you should read it.

Go, read.

 

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