Lukas Püttmann    About    Blog

"Status Cocaine"

Good post by Ben Casnocha on why many very rich people work so hard:

Status. I believe the quest for status drives the behavior of the “post-economic” population to an extreme degree—people for whom there is there no economic imperative to work—and, for that matter, most of the rest of us, too.

And that horse race is a zero-sum attention game.

Tyler Cowen argues that status isn’t all zero-sum, but instead talking about one’s achievements is

“a way of processing the self.”

Casnocha then goes on and says,

But the hit doesn’t last. Like a drug, status is insatiable.

I would add that it also has a high depreciation rate.

Wall Street titans, Hollywood moguls, and tech billionaires do not physically duel. And they’ve often made so much money that they all have nice watches and cars and houses. But they do continue to race each other for prestige and power and other non-monetary status markers.

So instead, should we all relax and become baristas instead?

Casnocha says “No”, we should learn how to balance ambition and happiness and gives some recommendations of how to do that. Most of the recommendations evolve around ways of not getting lost in the rat race. But Ryan Avent (who Casnocha cites) might respond that, really, it’s a package deal and you cannot just move away without stopping what you do.

"Zero to One", by Peter Thiel and Blake Masters

Peter Thiel and Blake Masters discuss in “Zero to One” how to successfully found a start-up.

They say the goal is to become a monopoly and they warn against a culture of competition. The aim is not to enter an industry and compete hard in it, but rather to found a new industry and be safe from competitors.

I liked the book and many of their thoughts. I think the following citation is great and I read it as a criticism an alleged contentedness and satiation of my generation:

“Consider the trivial but revealing hallmarks of urban hipsterdom: faux vintage photography, the handlebar mustache, and vinyl record players all hark back to an earlier time when people were still optimistic about the future. If everything worth doing has already been done, you may as well feign an allergy to achievement and become a barista.” (p96)

Before reading this book, I would have placed Thiel in the libertarian corner so I was surprised to read a criticism of the idea of efficient markets:

“But the existence of financial bubbles shows that markets can have extraordinary inefficiencies.” (p100)

Also, this is fun:

“This is why physics PhDs are notoriously difficult to work with – because they know the most fundamental truths, they think they know all truths.” (p104)

They spend some pages defending auxiliary business operations such as marketing and sales:

“But advertising matters because it works. It works on nerds, and it works on you. You may think that you’re an exception; that your preferences are authentic, and advertising only works on other people.” (p127)

I’m doing research on the effects of automation on labor markets, so I was happy to see a discussion like the following:

“The stark differences between man and machine mean that gains from working with computers are much higher than gains from trade with other people. We don’t trade with computers any more than we trade with livestock or lamps. And that’s the point: computers are tools, not rivals. […] Properly understood, technology is the one way for us to escape competition in a globalizing world. As computers become more and more powerful, they won’t be substitutes for humans: they’ll be complements.” (p144)

and further,

“Why do so many people miss the power of complementarity? It starts in school. Software engineers tend to work on projects that replace human efforts because that’s what they’re trained to do. […] Just look at the trendiest fields in computer science today. The very term “machine learning” evokes imagery of replacement, and its boosters seem to believe that computers can be taught to perform almost any task, so as long as we feed them enough training data. […] Google Translate works […] because it has extracted patterns through statistical analysis of a huge corpus of text.” (p148-149)


“But big data is usually dumb data. Computers can find patterns that elude humans, but they don’t know how to compare patterns from different sources or how to interpret complex behaviors. Actionable insights can only come from a human analyst (or the kind of generalized artificial intelligence that exists only in science fiction).” (p149)

The book is surprisingly deep, non-standard and well-written. I found the parallels to academia striking. In some sense every new research project is a start-up. You own it, protect it and want it to succeed. If we follow Thiel’s advice in research, we should look for novel research projects to escape the competition. The advice doesn’t carry over completely, but I do think standing out is easier when following unconventional paths.

I also liked idea of being very aware of who the stakeholders in a project are. In academia that would be:

  1. yourself
  2. your coauthors
  3. your supervisor and others like fellow PhD students that you regularly talk with about the state of the project and that keep track of its progress
  4. everybody else

And I think the important thing is not to expect things from people from the wrong group.

And then there’s the issue of when you tell who about some good new idea. On the one hand, you want feedback. But if everybody knows your great new idea, then maybe they’ll go for it first. People tend to remember good ideas, but not who came up with them. And after a while, they think they came up with it themselves.

They write about this:

“If you find a secret, you face a choice: Do you tell anyone? Or do you keep it to yourself? […] Unless you have perfectly conventional beliefs, it’s rarely a good idea to tell everybody everything that you know. So who do you tell? Whoever you need to, and no more. In practice, there’s always a golden mean between telling nobody and telling everybody – and that’s a company.” (p105)

How radical to say: “Whoever you need to, and no more.” It goes against my nature. When I think I’ve figured something out I have a strong urge to tell everybody. But maybe it makes sense to pause, reflect on the idea first and to let the world know about it when the analysis is done and the story is ready to be told.

But then again, academics depend on their reputation and blatant stealing of ideas is not so frequent. And the process of telling people might even establish ownership. After all, start-ups can make you rich, but research offers insights.

"The Opposite of Loneliness", by Marina Keegan

Marina Keegan finished her studies at Yale in 2012 and died tragically in a car accident shortly after. She was beginning to write and a collection of her stories were published in 2014.

Her essay “The Opposite of Loneliness”” is a plea for optimism about what’s yet to come and against guilt about missed chances.

There’s this sentiment I sometimes sense, creeping in our collective conscious as we lie alone after a party, or pack up our books when we give in and go out – that it is somehow too late. That others are somehow ahead.

What we have to remember is that we can still do anything. We can change our minds. We can start over.

She expresses her feeling of belonging and security with her friends in college and her feeling of unity with the world. I think the German term “Geborgenheit” describes it best.

We don’t have a word for the opposite of loneliness, but if we did, I’d say that’s how I feel at Yale. How I feel right now. Here. With all of you. In love, impressed, humbled, scared. And we don’t have to lose that.

We’re in this together, 2012. Let’s make something happen to this world.

Related posts:

Improved book titles

I think a lot of authors pick names that promise more than they deliver. Here are my (mostly tongue-in-cheek) “improved” titles:

    • Original title: The Better Angels of Our Nature: Why Violence Has Declined (Steven Pinker)
    • Better title: Why the World Wars Were Incredible Outliers
    • Original title: Capital in the 21st Century (Thomas Piketty)
    • Better title: Wealth in the 20th Century
    • Original title: Zero To One (Blake Masters and Peter Thiel)
    • Better title: How to Become a Monopolist
    • Original title: Nudge: Improving Decisions about Health, Wealth, and Happiness (Richard Thaler and Cass Sunstein)
    • Better title: Regulation
    • Original title: The Bankers’ New Clothes: What’s Wrong with Banking and What to Do about It (Anat Admati and Martin Hellwig)
    • Better title: Just Increase the Minimum Equity Requirements
    • Original title: Persepolis (Marjane Satrapi)
    • Better title: Tehran
    • Original title: The Globalization of Inequality (François Bourguignon)
    • Better title: The Globalization of Equality
    • Original title: Across Asia on the Cheap (Maureen and Tony Wheeler)
    • Better title: How to Finance your Weed by Donating Blood in Kuwait
    • Original title: Economics Rules (Dani Rodrik)
    • Better title: Economic Models
    • Original title: Poor Economics (Abhijit Banerjee and Esther Duflo)
    • Better title: Poor People

Collected links

  1. A good discussion of the merits and perils of the Chinese script vs. alphabets.

  2. Life just got better: Unlimited private Github repositories. (Also get the Student Pack.)

  3. Economics in the rear-view window. [source]

  4. Early (1989) words of wisdom by Jerome Friedman – of Statistical Learning fame – [source]:

    So, this was the setting – small data sets, manual computation, and noisy environments. These were the conditions under which almost all the statistical procedures that we use today were produced. (p19)

    A formula is a simple presciption for computation, one that does not contain data dependent branches. (p21)

    I think what this allows us to do, and what is basically the trend for the future, is that we are substituting computer power for unverifiable assumptions about the data. […]

    Why use these techniques? I think the reason is clear. The cost of computation is ever decreasing, but the price that we pay for the incorrect assumptions is staying the same. (p26)

"Appropriate amount"

appropriate-amount Source: NYT Chronicle. See here for codes.


I don’t want to spend to much time on the Donald. Following your lead, I want to show some restraint. Because I think we can all agree that from the start, he’s gotten the appropriate amount of coverage befitting the seriousness of his candidacy.

I hope you all are proud of yourself. The guy wanted to give his hotel business a boost, and now we’re praying that Cleveland makes it through July.

"Why do we work so hard?", by Ryan Avent

I really like this recent long-form piece by The Economist’s Ryan Avent. It’s a reflection on why high-achieving people nowadays choose to work long hours.

I get up at 5.30am and spend an hour or two at my desk at home. Once the children are up I join them for breakfast, then go to work as they head off to school. I can usually leave the office in time to join the family for dinner and put the children to bed. Then I can get a bit more done at home: writing, if there is a deadline looming, or reading, which is also part of the job. I work hard, doggedly, almost relentlessly. The joke, which I only now get, is that work is fun.


But my work – the work we lucky few well-paid professionals do every day, as we co-operate with talented people while solving complex, interesting problems – is fun. And I find that I can devote surprising quantities of time to it.

What is less clear to me, and to so many of my peers, is whether we should do so much of it.

And he says it’s not that there’s increased competition through – say – globalization, but instead people choose to work a lot:

The problem is not that overworked professionals are all miserable. The problem is that they are not.

And when he talks about his father’s attitude to work, it reminds me of how my grandparents view work and private life:

Work was a means to an end; it was something you did to earn the money to pay for the important things in life.

It’s a luxury that only well educated people in richer countries can afford. I’m sometimes surprised to see young people in countries like Brazil who are so much more focused on a straight career with high incomes than me and my peers in Germany. I think that’s because work there isn’t so much fun as you work for your father’s textile company, or a financial company or as a lawyer in São Paulo, but the things it allows you to do, are. But he wants more:

The pleasure lies partly in flow, in the process of losing oneself in a puzzle with a solution on which other people depend.

It boils down to choosing a lifestyle which comes with both long work hours and all the perks like intellectual stimulation and nice coworkers. He calls this the “package deal” that you get. And you cannot pick the best of both. He ends with:

[…] As I explain this, a circularity threatens to overtake my point: to build my career is to make myself indispensable, demonstrating indispensability means burying myself in the work, and the upshot of successfully demonstrating my indispensability is the need to continue working tirelessly. Not only can I not do all that elsewhere; outside London, the obvious brilliance of a commitment to this course of action is underappreciated. It looks pointless – daft, even.

And I begin to understand the nature of the trouble I’m having communicating to my parents precisely why what I’m doing appeals to me. They are asking about a job. I am thinking about identity, community, purpose – the things that provide meaning and motivation. I am talking about my life.

Denomination capping as coordination game - and implementation troubles

So the ECB is getting rid of the 500 euro note.

I see the point for convenience in buying a car in cash and some people might like to store their wealth in physical banknotes or make transactions in cash. But for most that’s not advisable anyway and it makes it things too easy for criminals. Also, in many countries in Europe there is already a limit on how large cash transactions may be. So I guess I see the point for getting rid of the 500 note, but I’m not quite ready to side with economists like Kenneth Rogoff who argues for abolishing cash altogether.

The profits from seigniorage that come from this underworld business should be quite large. The drug lord Pablo Escobar stored his wealth in the ground in dollar notes in Colombia and he reportedly lost 10% of his wealth every year due to “depreciation”. So if these notes were just by rats (and not stolen and spent somewhere else), then this amounts to an annual 10% tax for the United States government on Escobar’s wealth.

A similar thing is at play when bank notes from one country are used in another. Whether they are held by the Russian mafia to store wealth or by Cambodian shopsellers to trade, dollars in circulation in another country are a direct source of income for the United States government. The reason is that the Federal Reserve can print more money and exchange it for goods without pushing up domestic inflation.

So countries looking for higher seigniorage revenues have an incentive to have high denomination banknotes to tempt criminals in other countries to use their currency. Maybe it’s not a coincidence that the countries with the highest denominations are Switzerland and Singapore? So seen from that angle, capping the denomination of banknotes is a coordination game among countries.

The ECB’s decision to end usage of the 500 euro note might be a good idea, but is difficult to implement properly. For once, the stop is not immediate and, secondly, the existing 500 euro notes in circulation will keep their worth infinitely.

They’ll stop giving them out by the end of 2018. So until then, people can convert as much of their cash into 500 notes as they wish.

Will there be a second market for 500 notes after 2018? A large number of 500 euro notes are outstanding. People might hold on to them for years. But bank notes aren’t made to last forever, so they’ll probably be used until they are worn down and at that point somebody will exchange them at a bank for different denominations.

Update: Lawrence Summers thinks the ECB’s policy makes sense but is just a start:

First, the world should demand that Switzerland stops issuing SFr 1,000 franc notes. After Europe’s bold step, these notes will stand out as the hard-currency world’s highest denomination note by a wide margin. Switzerland has a long and unfortunate history with illicit finance. It would be tragic if it were to profit from criminal currency substitution.

And I would add that it’s not just “substitution”, but benefiting from it through seigniorage.

Inclusive growth essay

I wrote this essay for the St. Gallen Symposium’s essay competition whose topic in 2016 was “Alternatives to Economic Growth”. I’m sharing it here after slight editing. I thank several people who commented on drafts.

Some years ago, a leading professor in economic growth said in a class I was in:

“You see here how GDP per capita has grown over the last couple of centuries. People have become much richer over time, but there have been large differences across countries.”

This was not really new to me, but what he said next I have remembered well:

“Here’s a thought experiment. Say it’s 1700 and I give you two options: You can either choose to be a rich person who lives in a poor country or you can be someone who lives in a country that’s rich, but who’s poor.”

He argued that one would likely have been better off as a rich person in a poor country. The reason is that in this pre-industrial age, differences between countries were much less pronounced than differences within countries.1

He then said:

“Now ask yourself this question today: Would you rather be a rich person in a poor country or a poor person in a rich country? I bet you would choose to be in a rich country over being a rich person.”

It impressed me, because I had never thought about these developments from this angle. So what happened in the last centuries that led to this change?

For most of human history, there was little or no growth. Since the beginning of organized agriculture and the rise of cities, a large part of society lived off a meager diet of carbohydrates like gruels while a small urban elite dined on richer foods like meat.2 The productivity of people was so similar across countries that the economic power of an entity was thought to derive directly from the number of its subjects and states should aim to increase the number of people living within their borders.3 Innovation was not seen as an important source of progress. And there were even cases of technological regress, such as the Aborigines loosing the knowledge of using bow and arrow.4

But since the late 18th century there has been real sustained growth. In the course of this revolution, factories were build, the face of the earth was altered and trade networks spanned the globe, e.g. for cotton.5 Economies’ productive capacities per person increased in real terms between 1800 and 2010 by a factor of 11 in the United Kingdom, 21 for Germany, 9 in the Netherlands and 24 in the United States.6 Consider what that means: Could you imagine your living standard to be a tenth or twentieth of what it currently is?

We call economic growth an increase in the amount and quality of goods and services that society produces and consumes. This concept is frequently invoked by politicians or economists as the target that we should aim to maximize by directing our institutions – such as laws and cultural norms – towards it. But economic growth happened very unequally across the world. Europe and its overseas offshoots participated early and grew strongly, such that by the middle of the 20th century, disparities within countries were small relative to differences between countries. This was the state of the world that the professor had alluded to. And when I looked at the data, it was true that – in 1970 – I would have been almost three times better off as a Swiss person earning an average income than as a person in India in the top one percent of the income distribution.7

But again, something happened. The market-based reforms and the globalization starting in the 1970s and 1980s allowed capital and labor to flow more freely and led to large increases in living standards in developing countries. Especially in China and India, millions of people form a new middle class. This reduced global inequality which as measured by the Gini coefficient fell from 0.70 in 1990 to 0.62 in 2010.8

This made me think that maybe the professor’s verdict did not hold anymore. The gap might have closed and a rich person in a poor country might be equally well off – or maybe even better off – than a person with an average income in a rich country. Taking the previous example, in 1999, the top percent in India earned 30 percent more than the average earner in Switzerland.9

But while we should applaud the fact that differences between countries have decreased globally, inequality within countries has been rising. Thomas Piketty, in his best-selling 2014 book, warns of rising levels of income inequality and wealth inequality which in the Anglo-Saxon countries approaches levels not seen since the First World War.10 This point is made similarly by Angus Deaton, the winner of the 2015 Nobel Memorial Prize in Economic Sciences, who analyzes global trends in health and poverty and makes a case for optimism about the state of the world. However, he cautions that in some cases of “Great Escapes’’ from poverty, the new elites have held down the people rising after them.11 He evokes the picture of a ladder being pulled up. So maybe we are seeing a return to the previous state before modern economic growth with large differences within countries and less strong differences between countries. And while the impact of globalization on inequality is almost mechanic, an old fear is emerging again: automation.

Meet Baxter (panel 1 in Figure 1): He is a friendly general-purpose robot who can be taught simple manual tasks by moving around his mechanical arm. He is safe to have around and reliable. This makes him great for jobs such as lifting objects or sorting things. Other robots bake pancakes (panel 2), teach the prayer (panel 3), carry heavy loads across dangerous terrain (panel 4), pick grapes (panel 5) or shoot rockets (panel 6).

Figure 1: Robots12


Foxconn, the main manufacturer of Apple’s iPhone, already employs 50,000 robots in its Chinese factories and is planning to automate large parts of its production. Google is testing self-driving cars and they might become a reality on our streets. And who needs a taxi driver then?

200 years ago, the Luddites in England worried about automation in the form of mechanical looms. Since then, people have warned periodically of the rate of progress outpacing people’s ability to adapt to technological change. Some even quipped that humans will be made as redundant as horses in the advent of the automobile. However, these warnings were usually exaggerated as previous waves of technological progress replaced old jobs with new ones, leaving most people better off in the long-run. The most common recommendation of how to deal with these disruptions is to encourage more education for people to adapt faster and to gain skills that are complements, not substitutes, to machines.

But maybe that is not enough, because this time might be different in an important aspect: Technology is also advancing in fields that have previously been thought of as safe from automation. Research on artificial intelligence and machine learning is making fast progress. IBM’s algorithm Deep Blue beat the world’s best chess player, Garry Kasparov, in 1997 and Google’s AlphaGo beat the best human player at the ancient game of Go, which was considered to be much more difficult for computers to excel at, in 2016. Other algorithms have been developed to recognize songs, judge people’s attractiveness and compose music. These fears of automation are also expressed by Erik Brynjolfsson and Andrew McAfee in a recent book in which they warn of a “Second Machine Age”.

And what should worry us most is the increasing concentration of capital – be it robots or factories – in the hands of few which could lead to rising within-country inequality. Researchers have shown that across the world, the share of income going to labor has been in decline since the 1980s.13 Part of this decline can be explained through a rise in automation and computer technology. When automation advances, capital owners benefit more than workers. In the limit case, few capital owners could own all robots, while the rest of humanity would depend on their charity.

These distributional pressures raise several concerns. The first problem with inequality of wealth and income is that it is in several ways self-perpetuating. Wealthy people likely achieve higher returns on their wealth through better investment advice and opportunities. And some rich people might also use illegal opportunities for higher returns by evading taxes. Gabriel Zucman documents how France missed taxes in 2011 of about one percent of its GDP due to tax evasion.14 Changing marriage patterns work similarly. When once a doctor might have married his assistant and a CEO his secretary, couples are now more alike in their education and incomes.

Inequality has real costs for the economy as a whole. Daron Acemoğlu and James Robinson argue that in the long run countries with inclusive institutions prosper and countries with extractive institutions suffer. A concern is that the middle class in countries like the United States might not feel included anymore or – to cite Charles Murray – society is “coming apart”. This point is also supported through research by Anne Coase and Angus Deaton, who show a worsening in the mortality of middle aged white men in the United States.

And inequality is not just a problem for society as a whole, but it impacts individual people. Researchers have shown that people are not only interested in their own well-being, but have an inherent wish for a fair distribution.15 Our bodies react with unhealthy heart rates to perceived unfair distributions and even monkeys were shown to react badly to unequal rewards.16 17 What we learn is that questions of efficiency cannot be analyzed separately from questions of fairness and distribution.18 So instead, let us counteract these forces and work towards a society where people participate more broadly. I propose to rearrange our priorities from generating aggregate economic growth, to encouraging inclusive growth.

Does that mean that we should not value economic growth anymore and need a complete alternative to it? No. If everybody is poor, then there is no inequality. But it is important to acknowledge that the two are not independent of each other. And we do not have to choose one of these modes for the exclusion of the other, because making sure all parts of society are included also allows for more material wellbeing for everybody.

So how do we get there? A number of solutions have been proposed. And while there is no perfect and exact solution, some argue for higher minimum wages and some for unconditional basic incomes. Brynjolfsson and McAfee push for negative income taxes, which seems promising because it subsidizes human labor and recognizes that work gives people purpose.

We should also broaden our notion of what it means to work. To rephrase from John Adams, the second president of the United States, maybe our parents studied engineering for us to have the liberty to study computer science such that our children have the liberty to study music and art.19

In 1932, Bertrand Russell reflected on how to deal with changes in how we live and work:20

“Modern methods of production have given us the possibility of ease and security for all; we have chosen, instead, to have overwork for some and starvation for others. Hitherto we have continued to be as energetic as we were before there were machines; in this we have been foolish, but there is no reason to go on being foolish forever.”

But the actual first step is to acknowledge that there is a problem. We can make our world a more inclusive place and we can start building this society now. Let’s not wait.

  1. The point that class used to be a more important determinant of inequality than location is also made by: Milanovic, Branko (2013). “Global Income Inequality in Numbers: in History and Now.” Global Policy, 4(2): 198-208. 

  2. Laudan, Rachel (2015). Cuisine and Empire: Cooking in World History, California Studies in Food and Culture. 

  3. Porter, Theodore M. (1986). The Rise of Statistical Thinking, 1820-1900, Princeton University Press, chapter 2. 

  4. Diamond, Jared (1999). Guns, Germs, and Steel: The Fates of Human Societies, W. W. Norton & Company, chapter 15. 

  5. Beckert, Sven (2014). Empire of Cotton: A Global History, Knopf. 

  6. As measured by the real gross national product per capita in a year, corrected for price changes. From: Bolt and Van Zanden (2014). “The Maddison Project: Collaborative Research on Historical National Accounts.” The Economic History Review, 67(3): 627-651. 

  7. The top 1% in India earned an average of 133,250 rupees per year in 1970 which amounts to 12,300 in 2005 purchasing power corrected US dollars. The average tax unit in Switzerland in 1970 earned the purchasing power equivalent of 34,800 US dollars in 2005 values. Sources: Facundo Alvaredo, Anthony B. Atkinson, Thomas Piketty, Emmanuel Saez and Gabriel Zucman, The World Wealth and Income Database,, 12.01.2016. and Penn World Table 8.1

  8. Bourgouignon, François (2015). The Globalization of Inequality, Princeton University Press, p.42. 

  9. Using the same sources as before, the top 1% in India earned an average of 229,679 rupees per year in 1999. And adjusted for purchasing power differences this is equivalent to 42,731 US dollars in 2005 values. The average income per tax unit in Switzerland in real 2010 CHF in 1999 was 66,100, corrected for purchasing power differences that would be 32820 US Dollars in 2005 values. 

  10. Piketty, Thomas (2014). Capital in the Twenty-First Century, Harvard University Press. 

  11. Deaton, Angus (2013). Great Escape: Health, Wealth, and the Origins of Inequality, Princeton University Press. 

  12. 1: Baxter, 2: Motoman SDA10, 3: Bilal praying robot, 4: Alphadog, 5: Wall-Ye grape harvesting robot, 6: predator drone 

  13. Karabarbounis, Loukas and Brent Neiman (2014). “The Global Decline of the Labor Share.” Quarterly Journal of Economics, 129(1): 61-103. 

  14. Zucman, Gabriel (2011). The Hidden Wealth of Nations: The Scourge of Tax Havens, University of Chicago Press, p.62. 

  15. Fehr, Ernst and Klaus M. Schmidt (1999). “A Theory of Fairness, Competition, and Cooperation.” The Quarterly Journal of Economics, 114(3): 817-868. 

  16. Falk, Armin, Ingo Menrath, Pablo E. Verde and Johannes Siegrist (2011). “Cardiovascular Consequences of Unfair Pay.” IZA Discussion Paper Series No. 5720. 

  17. Brosnan, Sarah F. and Frans B. M. De Waal (2003). “Monkeys Reject Unequal Pay.” Nature, 425(6955): 297-299. 

  18. See the talk (in German) by Armin Falk: “Fairness- und Gerechtigskeitsfragen lassen sich von Effizienzfragen nicht trennen.” (“Questions of fairness and justice cannot be separated from questions of efficiency.”) [34m55s] 

  19. Original quote from McCullough, David (2001). John Adams, chapter 5:

    I must study politics and war that my sons may have liberty to study mathematics and philosophy. My sons ought to study mathematics and philosophy, geography, natural history, naval architecture, navigation, commerce, and agriculture, in order to give their children a right to study painting, poetry, music, architecture, statuary, tapestry, and porcelain.

  20. Bertrand Russell (1932). “In Praise of Idleness”.