Leonid Hurwicz Quotes

Powerful Leonid Hurwicz for Daily Growth

About Leonid Hurwicz

Leonid Hurwicz (1926-2008) was a renowned mathematician and economist, best known for his significant contributions to the field of Mathematical Economics, particularly in stochastic control theory and mechanism design. Born on September 30, 1926, in Vilnius, Lithuania (then part of Poland), Hurwicz survived World War II by hiding in the forest with his family before emigrating to the United States in 1948. Hurwicz received his Ph.D. in Mathematics from the University of Chicago in 1952, under the guidance of Richard Duffin and Hugo Steinhaus. His doctoral dissertation dealt with functional analysis and probability theory, laying the groundwork for his future work in economics. In 1953, Hurwicz joined the faculty at the University of Wisconsin-Madison, where he remained until his retirement. In 1972, he was awarded the John Bates Clark Medal for his contributions to economic theory. Hurwicz's most influential work is arguably his co-authored book, "Linear Optimization and Economic Analysis" (1960), which presented groundbreaking ideas in linear programming and dynamic optimization. His work on stochastic control theory has been crucial in understanding and solving economic problems with uncertainty. In 2007, Hurwicz was awarded the Nobel Memorial Prize in Economic Sciences (shared with Eric Maskin and Roger Myerson) for his contributions to mechanism design theory. This work has profound implications for understanding market mechanisms and designing public policy instruments. Throughout his career, Hurwicz's work was heavily influenced by his background in mathematics, his interest in economics, and his experiences during World War II. His legacy continues to shape the fields of Mathematical Economics and Game Theory.

Interpretations of Popular Quotes

"Optimality is a mirage that vanishes as we approach."

This quote by Leonid Hurwicz suggests that the concept of optimality, or the state of being the best possible solution, can often seem attainable but ultimately eludes us as we try to reach it. In decision-making scenarios, particularly in complex systems, what appears to be optimal may only hold true under simplified conditions or assumptions. As we delve deeper and consider more variables and complexities, the "optimal" solution becomes less clear or changes entirely, much like a mirage that disappears upon closer examination. The quote emphasizes the importance of acknowledging this inherent complexity when making decisions, and encourages us to approach problems with flexibility and an understanding that perfection is often unattainable.


"In decision making under uncertainty, it's not necessarily the best choice that counts, but the robust one."

This quote emphasizes the importance of choosing robust decisions in uncertain situations rather than focusing on finding the best possible choice. Robust decisions are those that remain effective across a wide range of potential outcomes or scenarios, providing a level of resilience to unforeseen events. In other words, making a robust decision is about minimizing risk and maximizing the ability to adapt, ensuring that the chosen action remains beneficial regardless of the specific outcome that occurs. This approach can be particularly valuable in complex, dynamic, or uncertain environments where predictions about the future are inherently difficult.


"The wisdom of rejecting a good solution because it may fail in some improbable situations, is equivalent to rejecting an airplane because it cannot fly too close to the ground."

This quote by Leonid Hurwicz emphasizes the importance of understanding risk versus reward in decision-making. He suggests that avoiding a potentially beneficial solution due to its theoretical failure in rare or improbable circumstances is illogical, much like refusing to fly an airplane because it can't hover close to the ground. Instead, we should aim for practical solutions that are effective most of the time, while being aware of and preparing for potential exceptions.


"Decision making under uncertainty requires a balance between exploiting known opportunities and exploring new ones."

This quote emphasizes the importance of striking a balance in decision-making, especially when dealing with uncertain situations. "Exploiting known opportunities" means leveraging what is already understood or what has been successful in the past. On the other hand, "exploring new ones" implies testing uncharted territory, seeking out fresh ideas and possibilities that may not have been tried before. Finding this balance enables us to maximize our potential while minimizing unnecessary risks. This principle can be applied across various fields like business, science, or personal life, promoting adaptability, innovation, and success.


"A decision rule that achieves good average performance when the actual state of the world is one of many possibilities, can perform very poorly on some individual instances."

This quote emphasizes that a decision-making strategy which performs well on average across various situations, may fail to deliver satisfactory results in specific cases. It underscores the importance of considering a broad range of potential scenarios when designing decision rules, as excellent performance in an average sense does not guarantee success in all instances. This principle is particularly relevant in fields such as economics, finance, and artificial intelligence where decisions are often based on models that represent averages or probabilities, but the real-world outcomes can vary significantly from these expectations.


When you talk about the economic process of a society, sometimes we separate it into two stories. One is about monetary variables. But then, we very often assume the underlying arrangement, the other variable, is 'perfect competition,' which means people do whatever they are supposed to do.

- Leonid Hurwicz

Other, Very, Separate, Variable

A game is defined by the players' strategy domains and payoff functions.

- Leonid Hurwicz

Game, Players, Functions, Defined

Just because there are people who violate rules, behave illegally and so on, it does not mean that everybody is like that. On the contrary, if you watch certain judges, you observe that they honestly try to implement what they believe the Constitution says and just put it into effect.

- Leonid Hurwicz

Constitution, Everybody, Judges

A need for enforcement implies the possibility of behavior that violates the rules of the game. The point is that if there were no possibility of violation, then you wouldn't need enforcement.

- Leonid Hurwicz

Game, Need, Enforcement, Possibility

I had the belief that many troubles you could observe on the European continent were due to politicians not understanding economic phenomena. Even if they had good intentions, they didn't have the skills to solve problems.

- Leonid Hurwicz

Had, Continent, Troubles, Phenomena

Legal behavior is not incompatible with rational, self-interested behavior.

- Leonid Hurwicz

Legal, Behavior, Rational, Incompatible

There are two kinds of games in economics. One is the game where people use only legal moves. Then there is the true game, the one like real life, where the strategies and moves people make, some of them contain illegal gains.

- Leonid Hurwicz

Game, Some, Use, Illegal

My father was convinced, I think rightly, that if he stayed in Russia, he would have trouble with Lenin.

- Leonid Hurwicz

Father, Think, I Think, Rightly

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