Douglas W. Hubbard


A Pioneer in Quantifying Uncertainty and Decision Making

Full Name and Common Aliases


Douglas W. Hubbard is a well-known American author, consultant, and expert in the field of decision making and uncertainty quantification.

Birth and Death Dates


Born: November 6, 1957 (alive)

Nationality and Profession(s)


American, Author, Consultant, Quantitative Risk Management Expert

Early Life and Background


Douglas W. Hubbard was born in the United States on November 6, 1957. Growing up, he developed an interest in mathematics and science, which would later become a foundation for his work in uncertainty quantification and decision making.

Hubbard holds a Bachelor's degree in Physics from the University of California, Berkeley, and a Master's degree in Operations Research from Stanford University. His academic background laid the groundwork for his future career as a consultant and author.

Major Accomplishments


Douglas W. Hubbard is widely recognized for his work on uncertainty quantification and decision making. Some of his notable accomplishments include:

Developing the concept of "probabilistic metrics" to quantify uncertainty in business and financial decisions.
Creating the Decision-Aid Framework, a systematic approach to managing risk and uncertainty.
* Authoring several influential books, including How to Measure Anything: Finding the Value of Intangibles in Business (2007) and The Failure of Risk Management: Why It's Broken and How to Fix It (2010).

Notable Works or Actions


Douglas W. Hubbard has written extensively on decision making and uncertainty quantification. His books have been widely praised for their ability to make complex concepts accessible to non-technical readers.

In addition to his writing, Hubbard has worked as a consultant with numerous organizations, helping them develop strategies for managing risk and uncertainty.

Impact and Legacy


Douglas W. Hubbard's work has had a significant impact on the fields of decision making and risk management. His ideas have been adopted by businesses, governments, and non-profit organizations around the world.

Hubbard's emphasis on quantifying uncertainty has helped to shift the focus away from traditional approaches to risk management, which often rely on guesswork or incomplete data. By providing a framework for measuring uncertainty, Hubbard has empowered decision makers with more accurate and reliable information.

Why They Are Widely Quoted or Remembered


Douglas W. Hubbard is widely quoted and remembered for his innovative approach to decision making and risk management. His work has been praised by experts in the field, who recognize the value of his probabilistic metrics and Decision-Aid Framework.

Hubbard's ability to communicate complex concepts in an accessible way has made him a sought-after speaker and author. His commitment to helping organizations make better decisions has earned him a reputation as a trusted authority on uncertainty quantification and decision making.

Quotes by Douglas W. Hubbard

Success is a function of persistence and doggedness and the willingness to work hard for twenty-two minutes to make sense of something that most people would give up on after thirty seconds.
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Success is a function of persistence and doggedness and the willingness to work hard for twenty-two minutes to make sense of something that most people would give up on after thirty seconds.
The fact is that the preference for ignorance over even marginal reductions in ignorance is never the moral high ground.
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The fact is that the preference for ignorance over even marginal reductions in ignorance is never the moral high ground.
If you know almost nothing, almost anything will tell you something.
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If you know almost nothing, almost anything will tell you something.
Perhaps the biggest misconception some managers may run into is the belief that correlation proves causation. The fact that one variable is correlated to another does not necessarily mean that one variable causes the other. If church donations and liquor sales are correlated, it is not because of some collusion between clergy and the liquor industry. It is because both are affected by how well the economy is doing.
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Perhaps the biggest misconception some managers may run into is the belief that correlation proves causation. The fact that one variable is correlated to another does not necessarily mean that one variable causes the other. If church donations and liquor sales are correlated, it is not because of some collusion between clergy and the liquor industry. It is because both are affected by how well the economy is doing.
Although this may seem a paradox, all exact science is based on the idea of approximation. If a man tells you he knows a thing exactly, then you can be safe in inferring that you are speaking to an inexact man. – Bertrand Russell.
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Although this may seem a paradox, all exact science is based on the idea of approximation. If a man tells you he knows a thing exactly, then you can be safe in inferring that you are speaking to an inexact man. – Bertrand Russell.
Two good indicators of revealed preferences are things the people tend to value a lot: time and money. If you look at how they spend their time and how they spend their money, you can infer quite a lot about their real preferences.
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Two good indicators of revealed preferences are things the people tend to value a lot: time and money. If you look at how they spend their time and how they spend their money, you can infer quite a lot about their real preferences.
Instead of being overwhelmed by the apparent uncertainty in such a problem, start to ask what things about it you do know.
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Instead of being overwhelmed by the apparent uncertainty in such a problem, start to ask what things about it you do know.
It is better to be approximately right than to be precisely wrong. – Warren Buffett.
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It is better to be approximately right than to be precisely wrong. – Warren Buffett.
Rule of Five There is a 93.75% chance that the median of a population is between the smallest and largest values in any random sample of five from that population.
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Rule of Five There is a 93.75% chance that the median of a population is between the smallest and largest values in any random sample of five from that population.
Measurement: A quantitatively expressed reduction of uncertainty based on one or more observations.
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Measurement: A quantitatively expressed reduction of uncertainty based on one or more observations.
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