Charlie Munger Explains Why Bureaucracy is not Shareholder Friendly

Charlie Munger, the billionaire partner of Warren Buffett at Berkshire Hathaway, explains why bureaucracy is not shareholder friendly:

The great defect of scale, of course, which makes the game interesting—so that the big people don’t always win—is that as you get big, you get the bureaucracy. And with the bureaucracy comes the territoriality—which is again grounded in human nature.

And the incentives are perverse. For example, if you worked for AT&T in my day, it was a great bureaucracy. Who in the hell was really thinking about the shareholder or anything else? And in a bureaucracy, you think the work is done when it goes out of your in-basket into somebody else’s in-basket. But, of course, it isn’t. It’s not done until AT&T delivers what it’s supposed to deliver. So you get big, fat, dumb, unmotivated bureaucracies.

They also tend to become somewhat corrupt. In other words, if I’ve got a department and you’ve got a department and we kind of share power running this thing, there’s sort of an unwritten rule: “If you won’t bother me, I won’t bother you and we’re both happy.” So you get layers of management and associated costs that nobody needs. Then, while people are justifying all these layers, it takes forever to get anything done. They’re too slow to make decisions and nimbler people run circles around them.

The constant curse of scale is that it leads to big, dumb bureaucracy—which, of course, reaches its highest and worst form in government where the incentives are really awful. That doesn’t mean we don’t need governments—because we do. But it’s a terrible problem to get big bureaucracies to behave.

So people go to stratagems. They create little decentralized units and fancy motivation and training programs. For example, for a big company, General Electric has fought bureaucracy with amazing skill. But that’s because they have a combination of a genius and a fanatic running it. And they put him in young enough so he gets a long run. Of course, that’s Jack Welch.

But bureaucracy is terrible …. And as things get very powerful and very big, you can get some really dysfunctional behavior. Look at Westinghouse. They blew billions of dollars on a bunch of dumb loans to real estate developers. They put some guy who’d come up by some career path—I don’t know exactly what it was, but it could have been refrigerators or something—and all of a sudden, he’s loaning money to real estate developers building hotels. It’s a very unequal contest. And in due time, they lost all those billions of dollars.

Munger is perhaps the only person I know who reads more than we do. In fact, we get a lot of our reading off his book recommendations.


You can learn a lot from Warren Buffett and Charlie Munger. Reading all of the Berkshire Hathaway Letters to Shareholders was better than my MBA. I’m serious.

Making A Mistake: Fienberg and Buffett

making a mistake

Knowing when you’ve made a mistake and learning from that experience can be a very rewarding and profitable undertaking.

If you can admit your mistake, you can learn from it. However, an inability to learn from mistakes can mean you make the exact same mistake again.

Consider Steve Feinberg, the onetime owner of Chrysler, and CEO of Cerberus Capital Management reflecting on his ‘mistake’

…even now, Mr. Feinberg, a man who can play a decent game of chess while blindfolded, is hard-pressed to pinpoint many mistakes. Sitting in his office on Park Avenue, far away from the detritus that surrounds Detroit, he grows pensive when asked what he has learned from his audacious — and failed — effort to privatize and resurrect the legendary and deeply troubled auto giant. “I don’t know what we could have done differently,” he says, crossing his arms on his chest. “From the day we bought it, we worked hard to improve it.” He pauses, pondering, as the clock ticks away. Then he shakes his head. “We were too optimistic on timing,” he says. “Maybe what we should have done was not bought it.”

Compare that with Warren Buffett talking about his oft-cited U.S. Airways purchase in hindsight:

I liked and admired Ed Colodny, the company’s then-CEO, and I still do. But my analysis of USAir’s business was both superficial and wrong. I was so beguiled by the company’s long history of profitable operations, and by the protection that ownership of a senior security seemingly offered me, that I overlooked the crucial point: USAir’s revenues would increasingly feel the effects of an unregulated, fiercely-competitive market whereas its cost structure was a holdover from the days when regulation protected profits. These costs, if left unchecked, portended disaster, however reassuring the airline’s past record might be.

Words matter. To learn more about decoding CEOs read Investing Between the Lines: How to Make Smarter Decisions By Decoding CEO Communications.

The Principles of Comparative Advantage: Why Tiger Woods Shouldn’t Mow Your Lawn

In economics, comparative advantage refers to the ability of a person or nation to produce a good or service at a lower opportunity cost than another person (or nation). This is why trade can create value for both parties—because each person can concentrate on the activity for which they have the lower opportunity cost. It also explains why Tiger Woods shouldn’t mow your lawn.

The term “comparative advantage” is usually attributed to David Ricardo. In his 1817 book On The Principles Of Political Economy And Taxation, Ricardo used the example of trade between England and Portugal.

Portugal could produce both wine and cloth with less labor than it would have taken to produce the same output in England. However, the relative costs are different (currencies have different values). From Ricardo’s point of view, England had difficulty producing wine and very little difficulty producing cloth. Portugal, however, could easily produce both wine and cloth. Ricardo concluded that while it was cheaper to produce cloth in Portugal than England, it is cheaper still for Portugal to produce excess wine and trade this for English cloth. England would benefit from this trade because its cost of producing cloth has not changed but it can now get wine at a lower price. Thus, each country can gain by specializing in the good that has a comparative advantage.

One of the drawbacks of trade in this way is that it creates increasing interdependence among people or nations. In Ricardo’s example, England and Portugal relied on each other for certain goods. This is possible as long as it is in the self-interest of each nation and there are no disruptions.
comparative advantage

In the leading economics textbook, Principles of Microeconomics, Greg Mankiw offers the following:

Differences in opportunity cost and comparative advantage create the gains from trade. When each person specializes in producing the good for which he or she has a comparative advantage, total production in the economy rises, and this increase in the size of the economic pie can be used to make everyone better off. In other words, as long as two people have different opportunity costs, each can benefit from trade by obtaining a good at a lower price than his or her opportunity cost of that good.


Real Life Examples

Should Tiger Woods Mow His Own Lawn?

Tiger is a great athlete. One of the best golfers to have every lived. Most likely he is better at other activities too. Tiger is probably in better shape than most: He can run faster, lift more, and work quicker. For example, Tiger can probably mow his lawn faster than anyone else. But just because he can mow his lawn fast, does this mean he should?

To answer this question we can use the concepts of opportunity cost and comparative advantage. Let’s say that Tiger can mow his lawn in 2 hours. In the same two hours he could film a television commercial for golf clubs and earn $100,000. By contrast, Joe, the kid next door can mow Tiger’s lawn in 4 hours. In that same 4 hours he could work at McDonald’s and earn $24.

In this example, Tiger’s opportunity cost is $100,000 and Joe’s is $24. Tiger has an absolute advantage in mowing lawns because he can do the work in less time. Yet Joe has a comparative advantage because he has the lower opportunity cost. The gains in trade from this example are tremendous. Rather than mowing his own lawn, Tiger should make the commercial and hire Joe to mow his lawn. As long as Tiger pays Joe more than $24 and less than $100,000, both of them are better off.

(Another example, this one from wikipedia)

Two men live alone on an isolated island. To survive they must undertake a few basic economic activities like water carrying, fishing, cooking and shelter construction and maintenance. The first man is young, strong, and educated. He is also, faster, better, more productive at everything. He has an absolute advantage in all activities. The second man is old, weak, and uneducated. He has an absolute disadvantage in all economic activities. In some activities the difference between the two is great; in others it is small.

Despite the fact that the younger man has absolute advantage in all activities, it is not in the interest of either of them to work in isolation since they both can benefit from specialization and exchange. If the two men divide the work according to comparative advantage then the young man will specialize in tasks at which he is most productive, while the older man will concentrate on tasks where his productivity is only a little less than that of a young man. Such an arrangement will increase total production for a given amount of labor supplied by both men and it will make both of them richer.

Hindsight Bias: Why You’re Not As Smart As You Think You Are

hindsight bias

Hindsight bias occurs when we look backward in time and see events are more predictable than they were at the time a decision was made. This bias, also known as the “knew-it-all-along effect,” typically involves those annoying “I told you so” people who never really told you anything.

For instance, consider driving in the car with your partner and coming to a T in the road. Your partner decides to turn right and 4 miles down the road when you realize you are lost you think “I knew we should have taken that left.”

Hindsight bias can offer a number of benefits in the short run. For instance, it can be flattering to believe that our judgment is better than it actually is. And, of course, hindsight bias allows us to participate in one of our favorite pastimes — criticizing the decisions of others for their lack of foresight.

“Judgments about what is good and what is bad, what is worthwhile and what is a waste of talent, what is useful and what is less so, are judgments that seldom can be made in the present. They can safely be made only by posterity.”

— Tulvings

Aside from helping aid in a more objective reflection of decisions, hindsight bias also has several practical implications. For example, consider someone asked to review a paper but knows the results of the previous review from someone else? Or a physician asked for a second opinion after knowing the results of the first. The results of these actions will likely be biased by some degree. Once we know an outcome it becomes easy to find some plausible explanation.

Hindsight bias helps us become less accountable for our decisions, less critical of ourselves, and over-confident in our ability to make decisions.

One of the most interesting things I discovered when researching hindsight bias was the impact on our legal system and the perceptions of jurors.

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Harvard Professor Max Bazerman offers:

The processes that give rise to anchoring and overconfidence are also at play with the hindsight bias. According to this explanation, knowledge of an event’s outcome works as an anchor by which individuals interpret their prior judgments of the event’s likelihood. Due to the selective accessibility of the confirmatory information during information retrieval, adjustments to anchors are inadequate. Consequently, hindsight knowledge biases our perceptions of what we remember knowing in foresight. Furthermore, to the extent that various pieces of data about the event vary in support of actual outcome, evidence that is consistent with the known outcome may become cognitively more salient and thus more available in memory. This tendency will lead an individual to justify a claimed foresight in view of “the facts provided.” Finally, the relevance of a particular piece of that may later be judged important to the extent to which it is representative of the final observed outcome.

In Cognitive Illusions, Rudiger Pohl offered the following explanations of hindsight bias:

Most prominent among the proposes explanations are cognitive accounts which assume that hindsight bias results from an inability to ignore the solution. Among the early approaches are the following three: (1) Fischhoff (1975) assumed an immediate and irreversible assimilation of the solution into one’s knowledge base. As a consequence, the reconstructed estimate will be biased towards the solution. (2) Tversky and Kahneman (1974) proposed a cognitive heuristic for the anchoring effected, named anchoring and insufficient adjustment. The same mechanism may apply here, if the solution is assumed to serve as an “anchor” in the reconstruction process. The reconstruction starts from this anchor and is then adjusted in the direction of one’s knowledge base. However, this adjustment process may stop too early, for example at the point where the first plausible value is reached, thus ending to a biased reconstruction. (3) Hell (1988) argued that the relative trace strengths of the regional estimate and of the solution might predict the amount of hindsight bias. The stronger the trace strength of the solution relative to that of the original estimate, the larger hindsight bias should be.

Pohl also offers an evolutionary explanation of hindsight bias:

Finally, some authors argued that hindsight bias is not necessarily a bothersome consequence of a “faulty” information process system, but that is may rather represent an unavoidable by-product of an evolutionary evolved function, namely adaptive learning. According to this view, hindsight bias is seen as the consequence of our most valuable ability to update previously held knowledge. This may be seen as a necessary process in order to prevent memory overload and thus to maintain normal cognitive functioning. Besides, updating allows us to keep our knowledge more coherent and to draw better inferences.

Ziva Junda, in social cognition, offers the following explanation of why hindsight bias occurs:

Preceding events take on new meaning and importance as they are made to cohere with the known outcome. Now that we know that our friends have filed for divorce, any ambiguous behavior we have seen is reinterpreted as indicative of tension, any disagreement gains significance, and any signs of affection seem irrelevant. It now seems obvious that their marriage was doomed from the start…Moreover, having adjusted our interpretations in light of current knowledge, it is difficult to imagine how things could have happened differently.

When making likelihood judgments, we often rely on the availability heuristic: The more difficult it is for us to imagine an outcome, the more unlikely it seems. Therefore, the difficulty we experience imagining how things might have turned out differently makes us all the more convinced that the outcomes that did occur were bound to have occurred.

Hindsight bias has large implications for criminal trials. In Jury Selection Hale Starr and Mark McCormick offer the following:

The effects of hindsight bias – which result in being held to a higher standard – are most critical for both criminal and civil defendants. The defense is more susceptible to the hindsight bias since their actions are generally the ones being evaluated fro reasonableness in foresight-foreseeability. When jurors perceive that the results of particular actions were “reasonably” more likely after the outcome is known, defendants are judged as having been capable of knowing more than they knew at the time the action was taken and therefore as capable of preventing the “bad” outcome.

In post-verdict surveys jurors unknowingly demonstrate some of the effects of hindsight bias:

“I can’t understand why the managers didn’t try to get more information or use the information they had available. They should have known there would be safety problems at the plant”.

“The defendants should have known people would remove the safety shield around the tire. There should have been warnings so people wouldn’t do that”

“Even though he was a kid, he should have known that once he showed the others who had been drinking that he had a gun, things would get out of hand. He should have known guns invited violence.

Jurors influenced by the hindsight bias look at the evidence presented and determine that the defendants knew or should have known their actions were unsafe, unwise, or created a dangerous situation. Hindsight bias often results in the judgment that the event was “an accident or tragedy waiting to happen.”

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Protection Against Hindsight Bias

In Principles of Forecasting, Jon Scott Armstrong, offers the following advice on how to protect yourself:

The surest protection against (hindsight bias) is disciplining ourselves to make explicit predictions, showing what we did in fact know (sounds like a decision journal). That record can also provide us with some protection against those individuals who are wont to second guess us, producing exaggerated claims of what we should have known (and perhaps should have told them). If these observers look to this record, it may show them that we are generally less proficient as forecaster than they would like while protecting us against charges of having blown a particular assignment. Having an explicit record can also protect us against overconfidence in our own forecasting ability: If we feel that we “knew all along” what was going to happen, then it is natural enough to think that we will have similar success in the future. Unfortunately, an exaggerated perception of a surprise-free past maybe portend a surprised-full future.

Documenting the reasons we made a forecast makes it possible for us to know not only how well the forecast did, but also where it went astray. For example, subsequent experiences may show that we used wrong (or misunderstood) inputs. In that case, we can, in principle, rerun the forecasting process with better inputs and assess the accuracy of our (retrospectively) revised forecasts. Perhaps we did have the right theory and procedures, but were applying them to a mistaken picture of then-current conditions…Of course inputs are also subject to hindsight bias, hence we need to record them explicitly as well. The essence of making sense out of outcome knowledge is reinterpreting the processes and conditions that produced the reported event.

Hindsight Bias is part of the Farnam Street latticework of mental models.

The Crow and the Pitcher

aesop fables

A Crow, half-dead with thirst, came upon a Pitcher which had once been full of water; but when the Crow put its beak into the mouth of the Pitcher he found that only very little water was left in it, and that he could not reach far enough down to get at it. He tried, and he tried, but at last had to give up in despair. Then a thought came to him, and he took a pebble and dropped it into the Pitcher. Then he took another pebble and dropped it into the Pitcher. Then he took another pebble and dropped that into the Pitcher. Then he took another pebble and dropped that into the Pitcher. Then he took another pebble and dropped that into the Pitcher. Then he took another pebble and dropped that into the Pitcher. At last, at last, he saw the water mount up near him, and after casting in a few more pebbles he was able to quench his thirst and save his life.

— Aesop

The Mis-Match Problem

In this video, Malcolm Gladwell speaks on the challenge of hiring in the modern world.

One of those challenges, the mis-match problem, happens when we use criteria to judge someone for a job that is radically out of step with the actual demands of the job itself. Despite our best intentions we do this all of the time. Gladwell says “we want to cling to these incredibly outdated and simplistic measures of ability.”

Why do mis-match problems exist?
1. Our desire for certainty — the desire to impose certainty on something that is not certain.
2. Increase in complexity in professions.

“The craving for that physics-style precision does nothing but get you in terrible trouble.”

See more on the mis-match problem.

Malcolm Gladwell is a staff writer at the New Yorker and the author of The Tipping Point: How Little Things Make a Big Difference, Blink, Outliers and most recently, What the Dog Saw.