When Tania Lombrozo’s daughter had a fever, Lombrozo consulted a pediatrician and received a likely diagnosis of the flu. The episode shows how people rely on knowledge they don’t possess themselves. Lombrozo couldn’t explain how flu causes fever or why her daughter needed fluids. The pediatrician’s explanation, roughly “fever because flu,” was enough for her to treat her daughter.
How Knowledge Gets Shared
Lombrozo calls this reliance on specialized knowledge a division of explanatory labor. People coordinate expertise to answer questions and make products, including pins, cars and newspapers. A person can drive a car without knowing how to manufacture one; likewise, Lombrozo could use the pediatrician’s explanation without knowing as much about medicine as the doctor.
This division of labor has helped advance medicine, science, engineering and commerce, while communities have accumulated knowledge across time. People benefit from what others know, even when they can’t reproduce or fully explain that knowledge themselves.
The arrangement can also create illusions of understanding. People may mistake someone else’s knowledge for their own, Lombrozo writes. Her example shows the distinction: the explanation helped guide care, but it didn’t let her explain the biological relationship between flu and fever or why her daughter needed fluids.
Choosing Whom to Ask
Evolution, culture and personal experience shape people’s judgments about whom to ask for expertise. Children as young as 3 to 5 are more likely to say someone should ask a doctor about a broken arm and a mechanic about a flat tire.
A 2004 study published in Child Development examined how 11- and 12-year-olds matched questions with people who had relevant knowledge. Asked why tennis balls bounce better on sidewalks than on grass, children were more likely to recommend someone who knew why bubble wrap protects glass than someone who knew why tennis balls come in cans of three.
The children’s two recommended questions connected through physics, while the tennis-ball packaging question shared only a more superficial connection. Their choices reflected underlying principles, not just surface similarities.
Lombrozo is the Arthur W. Marks ’19 Professor of Psychology at Princeton University and the author of Why We Ask Why: The Science of Explanation and the Human Drive to Understand. Her article describes shared expertise and the possibility that people confuse others’ understanding with their own.
The headline raises the possibility that AI could worsen this cognitive trap, but the article text provided doesn’t discuss further effects of AI. It also doesn’t describe employers, workers, profits, government action, unions or reform proposals. The account centers on how people rely on specialized knowledge and how that reliance can support practical decisions while creating mistaken confidence about what they understand.