Tag: Humanities

Towards a Greater Synthesis: Steven Pinker on How to Apply Science to the Humanities

The fundamental idea behind Farnam Street is to learn to think across disciplines and synthesize, using ideas in combination to solve problems in novel ways.

An easy example would be to take a fundamental idea of psychology like the concept of a near-miss (deprival super-reaction) and use it to help explain the success of a gambling enterprise. Or, similarly, using the idea of the endowment effect to help explain why lotteries are a lot more successful if you allow people to choose their own numbers. Sometimes we take ideas from hard science, like the idea of runaway feedback (think of a nuclear reaction gaining steam), to explain why small problems can become large problems or small advantages can become large ones.

This kind of reductionism and synthesis helps one understand the world at a fundamental level and solve new problems.

We’re sometimes asked about untapped ways that this thinking can be applied. In hearing this, it occasionally seems that people fall into the trap of believing all of the great cross-disciplinary thinking has been done. Or maybe even that all of the great thinking has been done, period.


Harvard psychologist Steven Pinker is here to say we have a long way to go.

We’ve written before about Pinker’s ideas on a broad education and on writing, but he's also got a great essay on Edge.org called Writing in the 21st Century wherein he addresses some of the central concepts of his book on writing — The Sense of Style. While the book's ideas are wonderful, later in the article he moves to a more general point useful for our purposes: Systematic application of the “harder” sciences to the humanities is a huge untapped source of knowledge.

He provides some examples that are fascinating in their potential:

This combination of science and letters is emblematic of what I hope to be a larger trend we spoke of earlier, namely the application of science, particularly psychology and cognitive science, to the traditional domains of humanities. There's no aspect of human communication and cultural creation that can't benefit from a greater application of psychology and the other sciences of mind. We would have an exciting addition to literary studies, for example, if literary critics knew more about linguistics.Poetry analysts could apply phonology (the study of sound structure) and the cognitive psychology of metaphor. An analysis of plot in fiction could benefit from a greater understanding of the conflicts and confluences of ultimate interests in human social relationships. The genre of biography would be deepened by an understanding of the nature of human memory, particularly autobiographical memory. How much of the memory of our childhood is confabulated? Memory scientists have a lot to say about that. How much do we polish our image of ourselves in describing ourselves to others, and more importantly, recollecting our own histories? Do we edit our memories in an Orwellian manner to make ourselves more coherent in retrospect? Syntax and semantics are relevant as well. How does a writer use the tense system of English to convey a sense of immediacy or historical distance?

In music the sciences of auditory and speech perception have much to contribute to understanding how musicians accomplish their effects. The visual arts could revive an old method of analysis going back to Ernst Gombrich and Rudolf Arnheim in collaboration with the psychologist Richard Gregory. Indeed, even the art itself in the 1920s was influenced by psychology, thanks in part to Gertrude Stein, who as an undergraduate student of William James did a wonderful thesis on divided attention, and then went to Paris and brought the psychology of perception to the attention of artists like Picasso and Braque. Gestalt psychology may have influenced Paul Klee and the expressionists. Since then we have lost that wonderful synergy between the science of visual perception and the creation of visual art.

Going beyond the arts, the social sciences, such as political science could benefit from a greater understanding of human moral and social instincts, such as the psychology of dominance, the psychology of revenge and forgiveness, and the psychology of gratitude and social competition. All of them are relevant, for example, to international negotiations. We talk about one country being friendly to another or allying or competing, but countries themselves don't have feelings. It's the elites and leaders who do, and a lot of international politics is driven by the psychology of its leaders.

In this short section alone, Pinker offers realistically that we can apply:

  • Linguistics to literature
  • Phonology and psychology to poetry
  • The biology of groups to understand fiction
  • The biology of memory to understand biography
  • Semantics to understand historical writing
  • Psychology and biology to understand art and music
  • Psychology and biology to understand politics

Turns out, there’s a huge amount of thinking left to be done. Effectively, Pinker is asking us to imitate the scientist Linus Pauling, who sought to systematically understand chemistry by using the next most fundamental discipline, physics, an approach which led to great breakthroughs and a consilience of knowledge in the two fields which is taken for granted in modern science.

Towards a Greater Synthesis

Even if we're not trying to make great scientific advances, think about how we could apply this idea to all of our lives. Fields like basic mathematics, statistics, biology, physics, and psychology provide deep insight into the “higher level” functions of humanity like law, medicine, politics, business, and social groups. Or, as Munger has put it, “When you get down to it, you’ll find worldly wisdom looks pretty darn academic.” And it isn’t as hard as it sounds: We don’t need to understand the deep math of relativity to grasp the idea that two observers can see the same event in a different way depending on perspective. The rest of the world's models are similar, although having some mathematical fluency is necessary.

Pinker, like Munger, doesn’t stop there. He also believes in what Munger calls the ethos of hard science, which is a way of rigorously considering the problems of the practical world.

Even beyond applying the findings of psychology and cognitive science and social and affective neuroscience, it's the mindset of science that ought to be exported to cultural and intellectual life as a whole. That consists in increased skepticism and scrutiny about factual conventional wisdom: How much of what you think is true really is true if you go to the numbers? For me this has been a salient issue in analyzing violence, because the conventional wisdom is that we're living in extraordinarily violent times.

But if you take into account the psychology of risk perception, as pioneered by Daniel Kahneman, Amos Tversky, Paul Slovic, Gerd Gigerenzer, and others, you realize that the conventional wisdom is systematically distorted by the source of our information about the world, namely the news. News is about the stuff that happens; it's not about the stuff that doesn't happen. Human risk perception is affected by memorable examples, according to Tversky and Kahneman's availability heuristic. No matter what the rate of violence is objectively, there are always enough examples to fill the news. And since our perception of risk is influenced by memorable examples, we'll always think we're living in violent times. It's only when you apply the scientific mindset to world events, to political science and history, and try to count how many people are killed now as opposed to ten years ago, a hundred years ago, or a thousand years ago that you get an accurate picture about the state of the world and the direction that it's going, which is largely downward. That conclusion only came from applying an empirical mindset to the traditional subject matter of history and political science.

Nassim Taleb has been on a similar hunt for a long time (although, amusingly, he doesn’t like Pinker’s book on violence at all). The question is relatively straightforward: How do we know what we know? Traditionally, what we know has simply been based on what we can see, something now called the availability bias. In other words, because we see our grandmother live to 95 years old while eating carrots every day, we think carrots prevent cancer. (A conflation of correlation and causation.)

But Pinker and Taleb call for a higher standard called empiricism, which requires pushing beyond anecdote into an accumulation of sound data to support a theory, with disconfirming examples weighted as heavily as confirming ones. This shift from anecdote to empiricism led humanity to make some of its greatest leaps of understanding, yet we’re still falling into the trap regularly, an outcome which itself can be explained by evolutionary biology and modern psychology. (Hint: It’s in the deep structure of our minds to extrapolate.)

Learning to Ask Why

Pinker continues with a claim that Munger would dearly appreciate: The search for explanations is how we push into new ideas. The deeper we push, the better we understand.

The other aspect of the scientific mindset that ought to be exported to the rest of intellectual life is the search for explanations. That is, not to just say that history is one damn thing after another, that stuff happens, and there's nothing we can do to explain why, but to relate phenomena to more basic or general phenomena … and to try to explain those phenomena with still more basic phenomena. We've repeatedly seen that happen in the sciences, where, for example, biological phenomena were explained in part at the level of molecules, which were explained by chemistry, which was explained by physics.

There's no reason that that this process of explanation can't continue. Biology gives us a grasp of the brain, and human nature is a product of the organization of the brain, and societies unfold as they do because they consist of brains interacting with other brains and negotiating arrangements to coordinate their behavior, and so on.

This idea certainly takes heat. The biologist E.O. Wilson calls it Consilience, and has gone as far as saying that all human knowledge can eventually be reduced to extreme fundamentals like mathematics and particle physics. (Leading to something like The Atomic Explanation of the Civil War.)

Whether or not you take it to such an extreme depends on your boldness and your confidence in the mental acuity of human beings. But even if you think Wilson is crazy, you can still learn deeply from the more fundamental knowledge in the world. This push to reduce things to their simplest explanations (but not simpler) is how we array all new knowledge and experience on a latticework of mental models.

For example, instead of taking Warren Buffett’s dictum that markets are irrational on its face, try to understand why. What about human nature and the dynamics of human groups leads to that outcome? What about biology itself leads to human nature? And so on. You’ll eventually hit a wall, that’s a certainty, but the further you push, the more fundamentally you understand the world. Elon Musk calls this first principles thinking and credits it with helping him do things in engineering and business that almost everyone considered impossible.


From there, Pinker concludes with a thought that hits near and dear to our hearts:

There is no “conflict between the sciences and humanities,” or at least there shouldn't be. There should be no turf battle as to who gets to speak about what matters. What matters are ideas. We should seek the ideas that give us the deepest, richest, best-informed understanding of the human condition, regardless of which people or what discipline originates them. That has to include the sciences, but it can't come only from the sciences. The focus should be on ideas, not on people, disciplines, or academic traditions.

Still Interested?
Start building your mental models and read some more Pinker for more goodness.

Genevieve Bell on the Value of Humanities in an Executive Role

Genevieve Bell

Genevieve Bell, is perhaps the most powerful and influential social scientist in the tech industry. Speaking to Christian Madsbjerg in an excerpt from The Moment of Clarity: Using the Human Sciences to Solve Your Toughest Business Problems, she says something quite profound on executive management and cognitive dissonance.

I’ve been really struck by what it takes to be an executive at a company like Intel. Increasingly, much like in my own training in the social sciences, it requires holding these multiple competing realities in one’s head at the same time. An executive has to be able to hold the reality of what the company needs to be now with what it needs to be ten years from now, and these concepts are often at odds with one another. You also have to hold the realities of different markets in your head that have completely different formulations of success. In the US, you have to think about miles per gallon and environmentally sensitive processes, and in China you just have to go really fast. For Intel executives from a culture of engineering, this is really hard. They are taught to think that dissonance should be resolved in the design: “There is one answer, and we have to get it right.”

And a few sentences later she explained how we lose track of what's important to our customer. “Moore’s Law stated that semiconductors were going to get smaller,” Bell explained, “but it didn’t tell us anything about what people were going to do with them or why a consumer should be interested. It started to become increasingly clear to all of us that consumers just didn’t care about the same things that we cared about. They weren’t necessarily engaged in our narrative.”

While not a silver bullet, one thing I see more and more through my engagements with companies is the value of humanities. Humanities offer a different perspective on the same problems, often with different (and better) results, they bring a better sense of people and their behaviours. When you're solving difficult problems you want cognitive diversity.