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Smarter

9 min

The New Science of Building Brain Power

Introduction

Narrator: A study of Israeli parole board decisions revealed a startling pattern. Judges were dramatically more likely to grant parole immediately after a meal break, with approval rates dropping to nearly zero for cases heard just before lunch. This had nothing to do with the merits of the cases and everything to do with the judges' hunger and fatigue. This is a stark example of how our "common sense" and rational faculties can be hijacked by hidden forces we don't even notice. How can we guard against such errors and make genuinely better decisions?

In his book, Smarter: The New Science of Building Brain Power, psychologist Richard E. Nisbett argues that intelligence and reasoning are not fixed traits. Instead, they are skills that can be taught and learned. He provides a cognitive toolkit drawn from psychology, economics, and statistics, designed to help anyone think more effectively and avoid common errors in judgment in both their personal and professional lives.

The Mind is an Inference Engine, Not a Camera

Key Insight 1

Narrator: A foundational concept in Smarter is that our understanding of the world is not a direct, objective recording of reality. Instead, it is a matter of construal—an active process of inference and interpretation shaped by our prior knowledge and hidden mental processes. We don't just see the world; our brain constructs it.

A classic psychological experiment illustrates this perfectly. Participants were asked to read an intentionally ambiguous paragraph about a man named Donald, whose actions could be interpreted as either adventurous or reckless. Before reading, however, one group was subliminally primed with positive words like "brave" and "independent," while another group was primed with negative words like "stubborn" and "conceited." The results were clear: those primed with positive words judged Donald far more favorably than those primed with negative words. The words, operating entirely below their conscious awareness, activated a mental framework, or schema, that determined how they interpreted the exact same information. This shows that our judgments are constantly being shaped by unconscious cues, from the temperature of a coffee cup we're holding to the name of a hurricane, proving that what we perceive is always an inference.

Escaping the Traps of Sunk Costs and Opportunity Costs

Key Insight 2

Narrator: Building on this psychological foundation, Nisbett introduces critical concepts from economics that can sharpen everyday decision-making. Two of the most powerful are the sunk cost principle and the opportunity cost principle. The sunk cost fallacy is our tendency to continue an endeavor because we have already invested time, money, or effort, even when it's clear the endeavor is failing.

Nisbett illustrates this with a simple dilemma. Imagine a person bought an $80 ticket to a basketball game a month ago. On the night of the game, the star player is injured, and a blizzard has started. Should they go? Many people would feel compelled to go to avoid "wasting" the $80. But from a rational perspective, the $80 is a sunk cost—it's gone whether they go or not. The only relevant question is whether the future benefit of attending the game in a blizzard without the star player outweighs the future cost and hassle. Ignoring sunk costs allows for decisions based on future prospects, not past mistakes. Similarly, every choice has an opportunity cost—the value of the next-best alternative that is given up. Recognizing that choosing to do one thing means not doing another is essential for making choices that maximize true value.

Why We Overvalue Anecdotes and Ignore Statistics

Key Insight 3

Narrator: Humans are notoriously poor intuitive statisticians. We often make significant errors by relying on small, unrepresentative samples of information. Nisbett explains this through the law of large numbers, which states that as a sample size increases, its average value gets closer to the true value of the whole population.

He uses the example of two hospitals, one large and one small. The question is, which hospital is more likely to have a day where more than 60 percent of the babies born are boys? Most people guess the large hospital or say they are equally likely. The correct answer is the small hospital. A large sample of births will almost always be very close to the 50/50 average, while a small sample is far more susceptible to random fluctuations. This bias leads us to trust vivid anecdotes—the "man who" smoked three packs a day and lived to be 95—over vast, reliable statistical data. Nisbett also points to the phenomenon of regression to the mean, where extreme outcomes tend to be followed by more moderate ones. A flight instructor who scolds a pilot for a terrible landing and sees improvement the next time might conclude that criticism works. In reality, an unusually bad performance is simply likely to be followed by a more average one, regardless of the feedback.

The Gold Standard of Knowing: Experiments Over Opinions

Key Insight 4

Narrator: When it comes to determining cause and effect, not all evidence is created equal. Nisbett argues that correlational studies, which simply observe relationships, are often misleading. A study might find that people who consume olive oil have fewer strokes, but this doesn't prove olive oil is the cause. It could be that olive oil consumers are wealthier, more educated, or have other lifestyle habits that are the true cause.

The gold standard for finding truth, he asserts, is the randomized controlled experiment. By randomly assigning participants to different groups—one that gets a treatment and one that doesn't—researchers can isolate the true effect of the intervention. This principle was powerfully demonstrated by programs like "Scared Straight," where at-risk teens were taken to prisons to be frightened by inmates. The program seemed intuitively effective and was widely adopted. However, when it was finally tested in randomized experiments, the results were shocking: the teens who went through the program were significantly more likely to commit crimes than those who didn't. Without proper experimentation, a well-intentioned program was actually causing harm. This highlights the immense societal cost of acting on assumptions rather than on evidence from rigorous experiments.

Beyond Black-and-White: The Value of Dialectical Reasoning

Key Insight 5

Narrator: While Western thought is heavily based on formal logic, which seeks to eliminate contradiction, Nisbett introduces another powerful mode of thought: dialectical reasoning. Often more prevalent in Eastern cultures, dialectical reasoning is based on three principles: change (reality is a fluid process), contradiction (opposite propositions can both contain truth), and holism (everything is interconnected).

This leads to different approaches to problems. When presented with two contradictory scientific findings, a study found that American students tended to double down on the one they found more plausible, dismissing the other. In contrast, Chinese students were more likely to find merit in both, believing each could be true in some way. This "middle way" approach can be particularly useful for resolving complex social conflicts, where rigid, logical positions often lead to a stalemate. While formal logic is essential for science, dialectical thinking—with its emphasis on context, multiple perspectives, and compromise—is an invaluable tool for navigating the ambiguities of everyday life and human relationships.

Conclusion

Narrator: The single most important takeaway from Smarter is that our cognitive abilities are not set in stone. The tools of the scientist—from cost-benefit analysis and statistical reasoning to experimental design—are not just for the laboratory. They are practical instruments that can be learned and applied to improve our daily judgments and decisions.

The ultimate challenge the book presents is to become a "lay scientist" in our own lives. This means questioning our assumptions, recognizing that our perception is an inference, and actively seeking out evidence rather than relying on intuition or anecdote. In a world of overwhelming information and complexity, it is both empowering and essential to know that we have the ability to build a smarter mind.

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