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My favourite books 2018

Keeping up the tradition of the last two years, I’m again providing a list of 10 my favorite books this year.

In between finishing my dissertation, starting a new job and moving to a new city, I read less this year. I was worried that I would have almost no time for reading in my new job, but that hasn’t turned out to be the case. Plane rides, late nights in hotel rooms and the weekend still provide many moments to read.

So here are the books I liked most this year (but which were not necessary published this year) in reverse order:

  1. Prohibition: A Concise History”, by W. J. Rorabaugh. This book shows that alcohol has not always been socially acceptable.
  2. The Invisibility Cloak”, by Ge Fei. Cool and short story, set in Beijing.
  3. Bad Blood: Secrets and Lies in Silicon Valley”, by John Carreyrou. Hard to stop reading.
  4. Leonardo Da Vinci”, by Walter Isaacson. Get the print version, the book has beautiful visuals.
  5. Educated: A Memoir”, by Tara Westover. Very well written.
  6. Lenin: The Man, the Dictator, and the Master of Terror”, by Victor Sebestyen. A great way to learn about this slice of history.
  7. Enlightenment Now: The Case for Reason, Science, Humanism, and Progress”, by Steven Pinker. I tried hard to poke holes in his arguments.
  8. Steve Jobs”, by Walter Isaacson. It’s incredible how intimately Isaacson is covering his life. I also enjoy it as a history of the 90s and 00s, a time I lived through.
  9. The Story of Art”, by E.H. Gombrich. I love this book. This is how to write about art. (Here, too, get the print version.)
  10. The Internationalists”, by Oona Hathaway and Scott Shapiro. This builds on years of scholarship, but the authors explain concepts in an accessible manner. Which other book would discuss the ideas of Grotius, Carlo Schmitt and Sayidd Qutb? This is a book that has changed how I view the world. A piece of their conclusion:

    The example of the Internationalists offers a hopeful message: If law shapes real power, and ideas shape the law, then we control our fate. We can choose to recognize certain actions and not others. We can cooperate with those who follow the rules and outcast those who do not. And when the rules no longer work, we can change them.

Collected links

  1. Some Facts About Indian Polling Stations”:

    Of the 748,584 polling stations about which we have data on building conditions, nearly 24% report having Internet and a similar number report having “Landline Telephone/Fax Connection.” 97.7% report having toilets for men and women. 2.6% report being in a “dilapidated or dangerous” building.

  2. Dave Giles: “Controlling My Heating Bill Using Bayesian Model Averaging” (cool!)

  3. Francis Diebold on a new paper by Art Howen and Hal Varian.

  4. Jane Street: “How to shuffle a big dataset

  5. Kaiser Fung:

    The current scandal demonstrates the value of the business intelligence/business analytics functions within companies. We were told that Facebook first realized that certain metrics were showing unusual trends, and upon investigation, they discovered the bugs.

    This is entirely believable. That’s what happens when you have good data reports. They surface anomalies.

Cherry blossoms in Kyoto, 801-2015

Cosma Shalizi offers a course with great name “Data over Space and Time”. As part of this course he uses data on the first day in the year that the cherry trees in Kyoto started blossoming. This data was collected by Yasuyuki Aono and coauthors.

Let’s check it out:


kyoto <- read_csv("")

ggplot(kyoto, aes(Year.AD, Flowering.DOY)) +
  geom_line() +
  labs(title = "Cherry Blossoms in Kyoto",
       subtitle = "801-2015",
       x = "Year",
       y = "Day in year of full flowering") +
Cherry Blossoms in Kyoto by day in year since year 801 until year 2015

Note the earlier blossoming of trees at the end of the sample which is a sign of rising temperatures.

Collected links

  1. Against home cooking, by Rachel Laudan
  2. Every graph in the AER since 1911 and paper. I’ve also found that economists heavy use of linecharts is quite atypical. Outside academia, other formats such as barcharts are much more common.
  3. I was very impressed by this podcast episode of 80,000 hours interviewing Eva Vivalt. I didn’t expect to find meta-analyses interesting, but they are! One of my favorite bits of insight: If we asked researchers about their priors about what the results of a research project will be (DellaVigna-Pope style), then null results suddenly become interesting and worthy to publish. I also liked this blog post by Ricardo Dahis discussing the framework for meta analyses.
  4. Simon Kucinskas: “How to Measure Biased Reaction to News
  5. A short radio review (in German) of Konrad Biermann’s Konrad Adeanuer biography. I liked the book, but found it speculative and thin on facts.
  6. 1979
  7. Movie reviews
  8. Loriot (in German)

Enlighten Me How?


Sometimes a book is so good so that I really want to write a review, but I’m not sure I have anything substantial to add. That was the case for me reading Steven Pinker’s new book “Enlightenment Now: The Case for Reason, Science, Humanism and Progress”. There’s very little in his chain of argumentation that I could attack. Very frequently, I thought, “But how about X?” and that X was usually what Pinker addressed next.

In the book, Pinker argues that humanity has made progress in almost any measurable way. In his previous book, “The Better Angels of Our Nature”, he showed that the prevalence of violence in human lives has fallen strongly over the course of history and that this trend continues.1 In the new book, he widens his argument to include all areas of what he often calls “human flourishing”: Poverty has fallen and people live longer, healthier and happier lives. Wars have become more rare, existential risks are manageable, the world is becoming more democratic and we can handle risks to our ecological system. The coverage of civil rights has kept expanding to include women and minorities.

The book is dense in data and well argued. I really enjoyed it and agree with most of what the author writes. Most of the trends I was aware of, but I found his discussions of some issues (inequality, ecology, nuclear energy) refreshingly different from the takes I usually read (in particular in Germany) and well-founded. I hope this disclaimer removes the negativity bias (also discussed in the book) from the rest of this review.


In a book that covers almost everything, it’s easy to attack something that’s missing.2 I want to focus my review on the core of Pinker’s argument which is (all the keywords are in the subtitle to his book):

  1. Things have gotten better (progress!) for humanity in almost all measurable ways.
  2. That’s because humans use reason and science to accumulate more knowledge and solve problems.
  3. Associated with the increase of rational thought in our lives is a rise in atheist internationalist altruism (humanism).
  4. Because this system of belief of reason/science with humanism has yielded the best results for humanity, we we should celebrate it and promote it further.

The twist in his argument is that there’s a divine coincidence: The institutions and the belief system that we like best (rational thought, a reduction of the role of religion in our lives) just happen to be what achieves the best outcomes.

But that’s a shallow defense of democracy and civil liberties.3 Aren’t there values and principles that we hold dear, even if they did not lead to the best economic outcomes?

Henry Kissinger defended the West’s personal freedom, democracy and free markets during the Cold War by arguing that this is the better system of belief, even if it hadn’t lead to better economic outcomes than communism (Ferguson, 2016). At the time, the alternative that communist countries might grow more than free-market economies was taken seriously. Even leading economists expected the communist countries to overtake the Western countries in economic terms eventually.

A striking twist is then the rise of China. This is a country without democracy that has pulled off an incredible reduction of human poverty for a huge number of people. Using Pinker’s line of argument that should lead us to take authoritarianism seriously as a morally correct system.4

The problem is that China introduced economic liberties, but not political liberties. On the other side of the spectrum is Soviet Russia under Gorbatshev. William Taubmann’s “Gorbachev: His Life and Times” chronicles very well Gorbachev worked hard to introduce political freedom in the Soviet Union, but didn’t recognize the importance of economic freedom. The communist leadership was well aware of the shortage of consumption goods and the massive inefficiencies in the Soviet economy, but Gorbachev considered political freedom more important and didn’t trust free markets. It’s not that Gorbachev was ignorant of the economic troubles, but that the solution didn’t seem to be a liberalization of economic life.

Sadly, neither China or Russia delivered real freedom. So what do we conclude? People in China and Russia are better off than they were some decades ago and that’s something to applaude.

But I think the West’s model of democracy and personal freedom are superior, if they didn’t yield the best outcomes. Milton Friedman discusses this in depth in “Capitalism and Freedom”. He argues that economic and political freedom go together, that only if you are economically free you can hold views that are different to those of the government. He gives the example of a dissident who – in a centralized system – couldn’t even finance his daily life or his campaigning. This would suggest that economic freedom might beget political freedom. But as the case of China shows, that’s not always the case.

In the end, Friedman does not argue from economic or material grounds, but in terms of ideology:

The heart of the liberal philosophy is a belief in the dignity of the individual, […]. This implies a belief in the equality of men in one sense; in their inequality in another. […] The liberal will therefore distinguish sharply between equality of rights and equality of opportunity, on the one hand, and material equality or equality of outcome on the other. He may welcome the fact that a free society in fact tends toward greater material equality than any other yet tried. But he will regard this as a desirable by-product of a free society, not its major justification. (“Capitalism and Freedom”, Chapter 12: “Alleviation of Poverty”)

And Pinker falls into exactly that trap in this book.


Pinker likes to cite internationalism as a goal, that obviously it’s irrational to weight people’s well-being less than that of people in your country. But that’s not obvious to most people and that’s not how most people act.

Pinker writes (my emphasis):

Ideologies that justify violence against innocents, such as militant religions, nationalism, and Marxism, can be countered with better systems of value and belief. (Chapter 23)

But it’s just the problem of belief systems that they determine what’s good and bad. It’s a circular argument to use evidence that there’s lot of progress according to and due to that value system to make a case for exactly that value system.

Say, your value system tells you that you want to maximize the number of paper clips in existence on earth. So if the number of paperclips in existence has increased: Voilá - that belief system is great!

But what is the right value system – “that is exactly the question”.


A response to my criticism might be the following: Reason and science are critically not a belief system, but the correct way of learning about the world.

OK, granted. But humanism is a belief and value system. And scoring humanity’s achievements yields very different assessments through the lens of humanism than it would through alternative world views. If your religion tells you that life starts with the inception, then the increase in pregnancy terminations is an incredible disaster. If you’re a nationalist who believes that people’s and races are a thing and should be kept separate, then globalization, intermarriage and the rise in cosmopolitanism are a big problem.

Pinker singles out those two world views (religion and romantic-nationalism) and takes them apart one by one. He writes that there is “probably no god”, so basing our morality on religion leads us to the wrong place. He writes that romantic-nationalist inspired by Nietzsche misunderstand human nature.

And maybe he finally wins that way, because we can reason about our value systems and test the premises they are built on.


This book is a clear-sighted summary of the achievements of economic growth. It synthesizes vast amounts of data and research and makes a much more grand case than comparable books.5

Sometimes a book is so good so that I really want to write a review, but I’m not sure I have anything substantial to add. Arguing for humanism on materialistic grounds bothers me, but it might be our best argument for it. Let’s be happy about the divine coincidence.


Carroll, Sean (2016). The Big Picture: On the Origins of Life, Meaning, and the Universe Itself. Dutton.

Ferguson, Niall (2016). Kissinger: 1923-1968: The Idealist. Penguin.

Friedman, Milton (1962). Capitalism and Freedom. University of Chicago Press.

Pinker, Steven (2012). The Better Angels of Our Nature: Why Violence Has Declined. Penguin.

Pinker, Steven (2018). Enlightenment Now: The Case for Reason, Science, Humanism, and Progress. Viking.

Taubmann, William (2017). Gorbachev: His Life and Times. Simon & Schuster.

  1. And he showed what great outliers the two World Words were. 

  2. For example, why isn’t the extinction of species covered? Isn’t that a case where there’s clearly no progress, but instead our economic expansion has done harm? 

  3. Pinker also makes another case for democracy which is that it smooths out errors by individuals well. But that argument feels tacked on to his main point and is not supported by the same level of data and explanation as the main thrust of his argument. 

  4. Pinker being Pinker he obviously also covers that case and writes that China today is already quite a more liberal and open society compared to some decades ago. But China is not a free, democratic country (Freedom House, for example, classifies it as “not Free”). 

  5. In particular, I find it a great complement to Sean Carroll’s “The Big Picture”. 


There is a story about an old man which rheumatism who asked his healthy friend how he managed to avoid the malady.
“By taking a cold shower every morning all my life” was the answer.
“Oh! exclaimed the first, “then you had cold showers instead.”

That’s from “One Two Three … Infinity”, by George Gamow, first published in 1947.

Inventing code

This recent paper in Nature Communications is a really cool (source):

We analysed a database of 21,745,538 lines of computer code in total and 483,173 unique lines, originating from 47,967 entries to 19 online collaborative programming competitions organised over the course of 14 years by the MathWorks software company. In every contest, the organisers set a computational challenge and, over the course of one week, participants developed and provided solutions in the form of MATLAB® code.

Figure 3 is amazing.

Collected links

  1. Interview with the number one ranked Kaggler (recommended)
  2. Jon Schwabish redesigns a table
  3. Fantastic explainer for copulas
  4. Interesting figure
  5. The Economist writes:

    Shipping a 70kg parcel from Shanghai to London with DHL Express takes three times longer, and costs four times as much, as buying a human of the same weight an airline ticket. The passenger gets a baggage allowance and free drinks, too.

  6. Bundesrechnungshof (German Federal Audit Office) laments (in German) the fact that Germany subsidizes the tabaco industry. On average, the 11,000 employees receive 600 cigarettes per month. This was introduced after World War One to reduce stealing by employees.
  7. German Empire and the 2007 Polish elections

"Better Presentations", by Jonathan Schwabish

Jonathan Schwabish’s book “Better Presentations” is very good. The author wrote this paper in the Journal of Economic Perspectives some years ago and I really enjoyed that then. The book expands on the themes of the paper.

He emphasizes the need to better tailor presentations to the audience. He has a simple set of notes to get one started (see the “Better Presentations Worksheet” here). A presentation in a research seminar can go into great depth, but a presentation at a large diverse conference or a presentation to funding providers should not. The less well acquainted people are with the topic, the more important is providing context about one’s research.

The most important point Schwabish makes is his explanation of the pyramid, the inverted pyramid and the hourglass. The pyramid is the traditional form of presentation where you first set the stage by mentioning your research hypothesis, review the literature, then introduce the data, explain your methods and - last - reveal what you find.

Most researchers have by now realized that this is not a good idea. People don’t know where the presentation is headed and what’s important. An alternative model comes from journalism: The inverted pyramid. Start with a bang and tell the reader all about what you’ve found out. And then you keep adding more details later on.

But, as the author points out, you can do both and combine the two to an hourglass structure. You start broad, provide context for who you are, what you’re working on and why. You set the right expectations of what your paper is about. Then go into more details and explain exactly what you’re doing. In the end, you zoom out again: What did we just learn that’s new and why does it matter?

I watch too many people run out of time at the end of their presentation and say, “Let me just quickly show you these two regression tables of robustness tests.” No! The end of your presentation is too important to waste it on a regression table. The audience is most attentive at the beginning and end, so don’t waste those moments on details.

I also learned a number of smaller points:

  • Get rid of bullet points and just start items directly.
  • Cooler colors (blue, green) pull away from you into the page, warmer colors (red, yellow) pop out.
  • Schwabish refutes the idea that you should only have X slides per Y minutes. He considers such metrics too crude and thinks it leads to bad design. It encourages people to put too much text on slides. It’s better to split thoughts into more slides because that’s what slide shows excel at.
  • He recommends breaking the white we normally use as slide background to a light gray. I’ve tried that, but it leads to other problems: Our statistical software draws graphs with white backgrounds, so figures stand out against the gray background and it looks strange. I think it’s overkill to change the background color in every figure we draw and it’s better to just continue using white as the background color.1

In economics, most of us use Latex Beamer and I don’t think we’re doing us a favor with that. It’s great to write equations, so maybe it’s the right choice for theory papers.2 But the majority of papers nowadays have a focus on empirics and include many figures and for these it’s not a good tool: Just try moving your Latex figure a little to the right, try making it full size or try adding a little text on top of your figure. And everything takes so much longer! You type \textit{} for italics and then have to watch your Latex compile … and fail because you’ve mistyped something or have forgotten a curly bracket.

I switched back to PowerPoint a year ago and I much prefer that now. The most tricky thing I find including regression tables from Latex.3 But most of those probably shouldn’t be in our presentations anyway and those that we do include can do with much less information (no standard errors, covariates, R², …) than we put into our papers. In conclude that using Latex Beamer is mostly signaling.

Anyway, the book by Schwabish is great and I recommend it.


Schwabish, Jonathan A. (2014). “An Economist’s Guide to Visualizing Data”. Journal of Economic Perspectives, 28(1): 209-234.

Schwabish, Jonathan A. (2016). Better Presentations: A Guide for Scholars, Researchers, and Wonks. Columbia University Press. (link)

  1. Eric points out that (in R) you can use no background color, by adding + theme(plot.background = element_blank(), panel.background = element_blank()) to your ggplot(...)

  2. Whether slide shows are the appropriate way to explain complicated theory is another question. For lectures, I’m positively convinced that it’s inferior to writing equations on the board, as that leads to a slower and more phased-in introduction of new material. 

  3. I now use the for-pay version of Adobe to convert regression tables from pdf to word. In word I can change fonts, then I copy tables and paste them into PowerPoint with right click “Picture”. This works perfectly for me.