Involves

Idea

Bounded rationality

Real decision-makers lack the time, information, and computing power to find the best option. Herbert Simon's insight was that they do something smarter than failing at optimization: they satisfice, searching until an option is good enough, then acting.

Simon, a Carnegie Mellon polymath, called this bounded rationality and built it against the economics textbooks of his day, which modeled people as perfect calculators. The work reshaped economics, psychology, and artificial intelligence, and won the 1978 Nobel Prize in economics.

Real minds do not optimize; they search until something is good enough, then act.

A heuristic is not a lesser answer. It is the answer you can afford in time to use it.

Where it breaks down

Shortcuts have systematic failure modes. Tversky and Kahneman showed that common heuristics produce predictable biases, and a rule tuned to one environment can quietly mislead in another. The skill is knowing which environment you are in.

The later heuristics-and-biases program did not overturn Simon's point; it mapped the price of the shortcuts he showed we cannot live without.

How it connects

This explains why shortcuts are not laziness: they are the only strategy that fits a finite mind.

This idea appeared in Good enough, fast enough, the Involves connection for August 20, 2026, which asked: Why do shortcuts so often beat perfect calculation?

Check yourself

What does it mean to satisfice?

Search until an option meets your threshold of good enough, then stop.. Yes. Satisficing sets a bar, takes the first option that clears it, and spends the saved time on the next problem.

What the sources establish

  • Simon was awarded the 1978 Nobel Prize in economics for his research on decision-making in organizations, centered on limits to human rationality.

  • Tversky and Kahneman demonstrated that judgment heuristics, while economical, lead to severe and systematic errors in predictable situations.

Sources