Key Takeaways

  • Jurors do not convict by calculating evidentiary probabilities; they build a chronological story and pick whichever narrative flows best.
  • Cognitive scientist Tania Lombrozo separates explanatory virtues like simplicity from explanatory vices, which seduce us because they are broad and tidy.
  • When an experiment conflicts with our pet theory, our instinct is explaining away: blaming broken tools or recording mistakes to protect the model.
  • Hiring interviews rarely test competence because interviewers invent fictional personal arcs for candidates before the conversation ends.

Jurors Pick the Best Story Instead of Weighing Facts

In legal psychology, researchers study how courtroom panels reach verdicts. You might expect jurors to act like accountants, assigning weights to fingerprints, alibis, and witness statements, then tallying the sum. They do not.

Instead, jurors use what researchers call the story model. As Lombrozo explains, “if you think about what a juror is doing, as they have evidence presented to them, as they hear testimony, as they hear the prosecution and the defense, and so on, is trying to construct something like a mental model that's a story of what happened. And the way people decide whether they're going to convict or not is by evaluating which story is better.”

If a prosecutor presents twenty disjointed facts and the defense presents a clean narrative with an obvious motive, the clean narrative wins. The human brain craves temporal sequence and causal links. When facts lack a storyline, we discard them. When a storyline lacks facts, we fill in the blanks ourselves.

Explanatory Vices Make False Theories Feel Right

We prefer neat theories because simplicity is often a sign of truth. In science, a simple rule that covers a hundred observations is valuable. But that preference easily turns into a trap.

Lombrozo draws a line between explanatory virtues and explanatory vices: “In my own work, I sometimes talk about explanatory virtues, which are properties like simplicity that make an explanation good and that are often things that we should be seeking in science and in everyday life, but we also fall prey to explanatory vices, characteristics of explanations that are seductive and that draw us in, but maybe aren't really good guides to how we ought to think about the world.”

One vicious property is absolute neatness. Lombrozo points out that “it seems like one thing that we like in an explanation is that it be broad and exceptionless.” When reality introduces an awkward exception, we do not throw out our pet theory. We throw out the exception.

Scientists call this explaining away. Lombrozo notes how easily it happens: “You see a discrepant observation and it's easy to think, 'Oh, well, there must have been a mistake with a microscope that day, or somebody must have made a mistake copying down that number.'” When your churn rate spikes or conversion drops on an A/B test, your first reaction is to blame tracking errors or bot traffic. You protect your story by declaring the data defective.

The Narrative Trap Destroys Hiring Interviews

This narrative addiction does its worst damage in job interviews. An interviewer rarely sits across from an applicant as an impartial judge of skills. Within five minutes, the interviewer has already written a script.

“When we interview people, often, I think, even without realizing it, we construct a whole story about the kind of person this is, and how they're going to do in the job, and they how they fit into what we're looking for,” Lombrozo says.

A candidate gives an awkward answer to a technical question. If you like them, you write it off as interview nerves. If you dislike them, you log it as incompetence. In both cases, you ignore the raw data to preserve the story you wrote before they finished their second sentence.

What to Do With This

Open your dashboard and locate your last three failed experiments or negative customer signals that you blamed on bad data or weird cohorts. Write down what your product strategy would look like if those data points were completely accurate. If your strategy falls apart, you are serving a narrative instead of reality.