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Cognitive Biases

Seeing Causes and Intentions

Humans automatically seek causal explanations for events, often attributing intentions to agents, which can lead to errors in statistical reasoning. This automatic search for causality is a function of System 1 and can produce coherence even from contradictory evidence.

THE IDEA

SEEING CAUSES AND INTENTIONS

“Fred’s parents arrived late. The caterers were expected soon. Fred was angry.” You know why Fred was angry, and it is not because the caterers were expected soon. In your network of associations, anger and lack of punctuality are linked as an effect and its possible cause, but there is no such link between anger and the idea of expecting caterers. A coherent story was instantly constructed as you read; you immediately knew the cause of Fred’s anger. Finding such causal connections is part of understanding a story and is an automatic operation of System 1. System 2, your conscious self, was offered the causal interpretation and accepted it.

A story in Nassim Taleb’s The Black Swan illustrates this automatic search for causality. He reports that bond prices initially rose on the day of Saddam Hussein’s capture in his hiding place in Iraq. Investors were apparently seeking safer assets that morning, and the Bloomberg News service flashed this headline: U.S. TREASURIES RISE; HUSSEIN CAPTURE MAY NOT CURB TERRORISM. Half an hour later, bond prices fell back and the revised headline read: U.S. TREASURIES FALL; HUSSEIN CAPTURE BOOSTS ALLURE OF RISKY ASSETS. Obviously, Hussein’s capture was the major event of the day, and because of the way the automatic search for causes shapes our thinking, that event was destined to be the explanation of whatever happened in the market on that day. The two headlines look superficially like explanations of what happened in the market, but a statement that can explain two contradictory outcomes explains nothing at all. In fact, all the headlines do is satisfy our need for coherence: a large event is supposed to have consequences, and consequences need causes to explain them. We have limited information about what happened on a day, and System 1 is adept at finding a coherent causal story that links the fragments of knowledge at its disposal.

Read this sentence:

After spending a day exploring beautiful sights in the crowded streets of New York, Jane discovered that her wallet was missing.

When people who had read this brief story (along with many others) were given a surprise recall test, the word pickpocket was more strongly associated with the story than the word sights, even though the latter was actually in the sentence while the former was not. The rules of associative coherence tell us what happened. The event of a lost wallet could evoke many different causes: the wallet slipped out of a pocket, was left in the restaurant, etc. However, when the ideas of lost wallet, New York, and crowds are juxtaposed, they jointly evoke the explanation that a pickpocket caused the loss. In the story of the startling soup, the outcome—whether another customer wincing at the taste of the soup or the first person’s extreme reaction to the waiter’s touch—brings about an associatively coherent interpretation of the initial surprise, completing a plausible story.

The aristocratic Belgian psychologist Albert Michotte published a book in 1945 (translated into English in 1963) that overturned centuries of thinking about causality, going back at least to Hume’s examination of the association of ideas. The commonly accepted wisdom was that we infer physical causality from repeated observations of correlations among events. We have had myriad experiences in which we saw one object in motion touching another object, which immediately starts to move, often (but not always) in the same direction. This is what happens when a billiard ball hits another, and it is also what happens when you knock over a vase by brushing against it. Michotte had a different idea: he argued that we see causality, just as directly as we see color. To make his point, he created episodes in which a black square drawn on paper is seen in motion; it comes into contact with another square, which immediately begins to move. The observers know that there is no real physical contact, but they nevertheless have a powerful “illusion of causality.” If the second object starts moving instantly, they describe it as having been “launched” by the first. Experiments have shown that six-month-old infants see the sequence of events as a cause-effect scenario, and they indicate surprise when the sequence is altered. We are evidently ready from birth to have impressions of causality, which do not depend on reasoning about patterns of causation. They are products of System 1.

In 1944, at about the same time as Michotte published his demonstrations of physical causality, the psychologists Fritz Heider and Mary-Ann Simmel used a method similar to Michotte’s to demonstrate the perception of intentional causality. They made a film, which lasts all of one minute and forty seconds, in which you see a large triangle, a small triangle, and a circle moving around a shape that looks like a schematic view of a house with an open door. Viewers see an aggressive large triangle bullying a smaller triangle, a terrified circle, the circle and the small triangle joining forces to defeat the bully; they also observe much interaction around a door and then an explosive finale. The perception of intention and emotion is irresistible; only people afflicted by autism do not experience it. All this is entirely in your mind, of course. Your mind is ready and even eager to identify agents, assign them personality traits and specific intentions, and view their actions as expressing individual propensities. Here again, the evidence is that we are born prepared to make intentional attributions: infants under one year old identify bullies and victims, and expect a pursuer to follow the most direct path in attempting to catch whatever it is chasing.

The experience of freely willed action is quite separate from physical causality. Although it is your hand that picks up the salt, you do not think of the event in terms of a chain of physical causation. You experience it as caused by a decision that a disembodied you made, because you wanted to add salt to your food. Many people find it natural to describe their soul as the source and the cause of their actions. The psychologist Paul Bloom, writing in The Atlantic in 2005, presented the provocative claim that our inborn readiness to separate physical and intentional causality explains the near universality of religious beliefs. He observes that “we perceive the world of objects as essentially separate from the world of minds, making it possible for us to envision soulless bodies and bodiless souls.” The two modes of causation that we are set to perceive make it natural for us to accept the two central beliefs of many religions: an immaterial divinity is the ultimate cause of the physical world, and immortal souls temporarily control our bodies while we live and leave them behind as we die. In Bloom’s view, the two concepts of causality were shaped separately by evolutionary forces, building the origins of religion into the structure of System 1.

The prominence of causal intuitions is a recurrent theme in this book because people are prone to apply causal thinking inappropriately, to situations that require statistical reasoning. Statistical thinking derives conclusions about individual cases from properties of categories and ensembles. Unfortunately, System 1 does not have the capability for this mode of reasoning; System 2 can learn to think statistically, but few people receive the necessary training.

The psychology of causality was the basis of my decision to describe psychological processes by metaphors of agency, with little concern for consistency. I sometimes refer to System 1 as an agent with certain traits and preferences, and sometimes as an associative machine that represents reality by a complex pattern of links. The system and the machine are fictions; my reason for using them is that they fit the way we think about causes. Heider’s triangles and circles are not really agents—it is just very easy and natural to think of them that way. It is a matter of mental economy. I assume that you (like me) find it easier to think about the mind if we describe what happens in terms of traits and intentions (the two systems) and sometimes in terms of mechanical regularities (the associative machine). I do not intend to convince you that the systems are real, any more than Heider intended you to believe that the large triangle is really a bully.

When to use it

  • When interpreting financial market movements, be aware that the need for a causal story can lead to false explanations. Check if the same event could explain opposite outcomes.

  • In team dynamics, avoid attributing intent to co-workers' actions based on limited information. Consider alternative causes like stress or miscommunication.

  • When analyzing historical events or news, separate physical causality from intentional causality to avoid oversimplifying complex situations into agent-driven narratives.

  • In religious or philosophical discussions, recognize that our innate tendency to see intentional agents may influence beliefs about a higher power or soul.

FROM THEORY TO EVERYDAY LIFE

In practice

01

Bond Market and Hussein Capture

On the day of Saddam Hussein's capture, bond prices first rose and then fell. Bloomberg headlines explained both movements by referencing the capture, showing how a single large event is used to explain contradictory market outcomes through the automatic search for causality.

02

Missing Wallet in New York

Participants read a story about Jane losing her wallet while sightseeing in New York. In a recall test, the word 'pickpocket' was more strongly associated than 'sights', even though 'sights' appeared in the text. Through associative coherence, the context of lost wallet, New York, and crowds automatically suggests pickpocket as the cause.

03

Michotte's Launching Effect

Albert Michotte showed black squares moving on paper; when one square contacts another that immediately moves, observers perceive a causal 'launching' effect, even though no physical contact occurs. Infants as young as six months show surprise if the sequence is altered, indicating an innate perception of causality.

04

Heider and Simmel's Animated Shapes

Fritz Heider and Mary-Ann Simmel created a short film of a large triangle, small triangle, and circle moving around a house-like shape. Viewers irresistibly perceive intentional actions: the large triangle bullies the small one, the circle is terrified, and they team up against the bully. This shows automatic attribution of intentions to moving objects.

✳

A MOMENT TO REFLECT

Put it to work.

  1. Think of a recent news event you interpreted as caused by a specific agent (person, group, or force). How might your automatic search for causality have shaped that interpretation?

  2. When have you observed the same outcome being explained by two contradictory causes, like the bond market headlines? How does this illustrate the need for coherence over accuracy?

  3. Consider a time when you attributed intentional motives to someone’s actions. Could the behavior have been explained by situational factors or randomness?

  4. How does the automatic perception of causality influence your daily decisions? Can you identify a situation where you mistakenly saw a cause where none existed?

Connected ideas

Another lens can bring the same problem into focus.

Often confused with

References

  1. The Black Swan — Nassim Nicholas Taleb (2007)
  2. The Perception of Causality — Albert Michotte (1945)
  3. An Experimental Study of Apparent Behavior — Fritz Heider and Mary-Ann Simmel (1944)
  4. Is God an Accident? — Paul Bloom (2005)

CONTINUE THE CONVERSATION

Source texts

  • Thinking, Fast and Slow (Daniel Kahneman)
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