The way I see it:

Without inner narratives we would be lost in a chaotic world.

Although Burton's article brilliantly warns us about the risky relationship between science and our natural tendency to storytelling and the fatal consequences that this innate characteristic of us might imply, in my compilation below I've chosen to focus on his rigorous illustration on why our brain needs to construct stories to make sense of the world we live in.

Looking for an extremely quick correlation and more than probable prediction on what's out there, has an incalculable value for our survival and well being, but is not always accurate. We have to remember that those correlations are no more than speculations of a probable scenario, that although possible, is, still, a construction.


We are all storytellers; we make sense out of the world by telling stories. And science is a great source of stories. Not so, you might argue. Science is an objective collection and interpretation of data. I completely agree. At the level of the study of purely physical phenomena, science is the only reliable method for establishing the facts of the world.

But when we use data of the physical world to explain phenomena that cannot be reduced to physical facts, or when we extend incomplete data to draw general conclusions, we are telling stories.

Knowing the atomic weight of carbon and oxygen cannot tell us what life is. There are no naked facts that completely explain why animals sacrifice themselves for the good of their kin, why we fall in love, the meaning and purpose of existence, or why we kill each other.

Science is not at fault. On the contrary, science can save us from false stories. It is an irreplaceable means of understanding our world. But despite the verities of science, many of our most important questions compel us to tell stories that venture beyond the facts. For all of the sophisticated methodologies in science, we have not moved beyond the story as the primary way that we make sense of our lives.

To see where science and story meet, let’s take a look at how story is created in the brain. Let’s begin with an utterly simple example of a story, offered by E. M. Forster in his classic book on writing, Aspects of the Novel: “The king died and then the queen died.” It is nearly impossible to read this juxtaposition of events without wondering why the queen died. Even with a minimum of description, the construction of the sentence makes us guess at a pattern. Why would the author mention both events in the same sentence if he didn’t mean to imply a causal relationship?

Once a relationship has been suggested, we feel obliged to come up with an explanation. This makes us turn to what we know, to our storehouse of facts. It is general knowledge that a spouse can die of grief. Did the queen then die of heartbreak? This possibility draws on the science of human behavior, which competes with other, more traditional narratives.

The pleasurable feeling that our explanation is the right one—ranging from a modest sense of familiarity to the powerful and sublime “a-ha!”—is meted out by the same reward system in the brain integral to drug, alcohol, and gambling addictions. The reward system extends from the limbic area of the brain, vital to the expression of emotion, to the prefrontal cortex, critical to executive thought. Though still imperfectly understood, it is generally thought that the reward system plays a central role in the promotion and reinforcement of learning. Key to the system, and found primarily within its brain cells, is dopamine, a neurotransmitter that carries and modulates signals among brain cells. Studies consistently show that feeling rewarded is accompanied by a rise in dopamine levels.

Critical to understanding how stories spark the brain’s reward system is the theory known as pattern recognition—the brain’s way of piecing together a number of separate components of an image into a coherent picture. The first time you see a lion, for instance, you have to figure out what you’re seeing. At least 30 separate areas of the brain’s visual cortex pitch in, each processing an aspect of the overall image—from the detection of motion and edges, to the register of color and facial features. Collectively they form an overall image of a lion.

Each subsequent exposure to a lion enhances your neural circuitry; the connections among processing regions become more robust and efficient.

Soon, less input is necessary to recognize the lion. A fleeting glimpse of a partial picture is sufficient for recognition, which occurs via positive feedback from your reward system. Yes, you are assured by your brain, that is a lion.

An efficient pattern recognition of a lion makes perfect evolutionary sense. If you see a large feline shape moving in some nearby brush, it is unwise to wait until you see the yellows of the lion’s eyes before starting to run up the nearest tree. You need a brain that quickly detects entire shapes from fragments of the total picture and provides you with a powerful sense of the accuracy of this recognition.

One need only think of the recognition of a new pattern that is so profound that it triggers an involuntary “a-ha!” to understand the degree of pleasure that can be associated with learning. It’s no wonder that once a particular pattern-recognition-reward relationship is well grooved into our circuitry, it is hard to shake. In general—outside of addiction, that is—this “stickiness” of a correlation is a good thing. It is through repetition and the sense of familiarity and “rightness” of a correlation that we learn to navigate our way in the world.

People and science are like bread and butter. We are hardwired to need stories; science has storytelling buried deep in its nature. But there is also a problem. We can get our dopamine reward, and walk away with a story in hand, before science has finished testing it. This problem is exacerbated by the fact that the brain, hungry for its pattern-matching dopamine reward, overlooks contradictory or conflicting information whenever possible. A fundamental prerequisite for pattern recognition is the ability to quickly distinguish between similar but not identical inputs. Not being able to pigeonhole an event or idea makes it much more difficult for the brain to label and store it as a discrete memory. Neat and tidy promotes learning; loose ends lead to the “yes, but” of indecision and inability to draw a precise conclusion.

Just as proper pattern recognition results in the reward of an increased release of dopamine, faulty pattern recognition is associated with decreased dopamine release.

Once we see that stories are the narrative equivalent of correlation, it is easy to understand why our brains seek out stories (patterns) whenever and wherever possible.

Because we are compelled to make stories, we are often compelled to take incomplete stories and run with them. With a half-story from science in our minds, we earn a dopamine “reward” every time it helps us understand something in our world—even if that explanation is incomplete or wrong.


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