Copyright (c) 2013 John L. Jerz

Turning Numbers into Knowledge (Koomey, 2001)

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The Case for Using Probabilistic Knowledge in a Computer Chess Program (John L. Jerz)
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Mastering the Art of Problem Solving

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“All decision-makers need to read this book. It explains, in clear and useful terms, how to use the ever-growing flow of data in our society. But that’s only the start. Turning Numbers into Knowledge will help the reader become a better thinker, and it is a rare book that can make that claim.”

Hal Harvey
President
Energy Foundation

 

“This outstanding book teaches the tricks of the analytical trade. There’s no better guide to learning how to use numbers to understand the world.”

Art Rosenfeld
Commissioner, California Energy Commission
Professor of Physics Emeritus,
University of California, Berkeley

[JLJ - the 2nd edition of this book (2008) doesn't appear to be a large revision]

p.xiii Mastering the art of problem solving takes more than proficiency with basic calculations: it requires familiarity with how people use information and requires learning about things as diverse as exploring your ideology, telling good stories, and distinguishing facts from values.
 
p.5 Most people attack a new problem by relying heavily on the tools and skills that are most familiar to them. While this approach can work well for problems that are similar to those previously solved, it often fails, and fails miserably, when a new problem is particularly novel or vexing. In these circumstances, it is best to assume nothing and treat the problem as if you have never seen anything like it before... The ideal is to combine the curiosity and the non-judgmental observation of a beginner with the experience of a senior analyst. Together, these skills can be an immensely powerful combination.
 
p.9 Donald Norman... first introduced the Cycle of Action:... The major steps in the cycle can be summarized as follows: Decide what to do, based on your goals; Do it (execution); Assess the results (evaluation); Decide what to do next, and then repeat the process
 
p.14,16 People often measure only those things that are easiest to measure. Like the man looking for his keys under the street lamp (because that's where the light is) even though he lost his key chain down the street, you are likely to be led astray if what you are measuring is only peripherally related to what you care about... The Cycle of Action can become the Cycle of Inaction when information is diverted from its intended audience.
 
p.27 The physicist Alan Sokal points out that science is predicated on two key attitudes: begin willing to accept what you find; and being willing to discover that you are wrong.
 
p.31,33 Anyone who states that ideology has no effect on decisions is either lying or deluded. Everyone has an ideology whether explicit or not. Ideology provides a simplified model of the world that reflects our values, biases, and experiences. It helps people make decisions in the face of imperfect knowledge... Ideology is one connection between the world of ideas and the world of choices... Ideology is the filter through which you view the world. By exploring your own body of beliefs, you can more reliably make choices that are consistent with your values, and you will also be better prepared to use numbers responsibly and effectively in your analyses, writing, and presentations.
 
p.62 Don't confuse things that are merely countable with those that really count. Some analysts systematically ignore things that can't be turned into a number and assume that because these things can't be measured, they are unimportant.
 
p.68 Question Authority... Recall what a Yale University management professor said about Fred Smith's paper proposing reliable overnight delivery service:  "The concept is interesting and well-formed, but in order to earn better than a 'C' the idea must be feasible." Smith went on to found Federal Express Corporation
 
p.87-89 Every human choice embodies certain values... if an analyst makes a choice, that analyst has also made a value judgment... I define facts as assertions about the physical world that can be verified through experiment, direct measurement, or observation... Values, on the other hand, are explicitly subjective and are an expression of the ideas and feelings that are most important to us.... The purpose of analysis is to help you illuminate the facts so that you can understand the choices of others and best use your values to make good choices of your own. Value choices are inescapable, which is why separating demonstrable facts from value judgments is so essential. Do so, and you are sure to be on a solid footing.
 
p.107 Life is about making choices in the face of uncertainty.
 
p.124 [UC Berkeley professor John] Holdren's advice when dealing with data is to "be suspicious, skeptical, and cynical. Assume nothing." Though it may sound paranoid to the uninitiated, such caution is an absolute necessity for the seasoned problem solver.
 
p.125 "An explicit model is a laboratory for the imagination." Models allow you to experiment, test, and learn about the world in a systematic way without leaving your office... A model is an equation or set of equations that describe how something you care about changes when other things change.
 
p.131 People involved in fast-moving new ventures usually don't have time to research issues thoroughly and don't have money to hire someone to do it for them (sometimes even the people they hire don't have the time either!). Often, back-of-the-envelope calculations are the best that can be done [JLJ -fast and frugal heuristics?] in the time allotted. The law of averages keeps the accuracy of such calculations from deteriorating too much because you are just as likely to overestimate as to underestimate (assuming that you're not biased one way or another). Across all the assumptions you make, these deviations average out... An important part of this process is balancing accuracy against the time needed to create the calculation. Back-of-the-envelope calculations are meant to be quick, so they usually rely on relatively simple models.
 
   Once the relationships between the key inputs and the desired output are established, you'll need to determine which of the inputs you know and which you'll have to assume for purposes of initial calculations. Don't get hung up on a particular number. The best thing to do is to carry out the calculations using the very roughest of approximations for those things you don't know, and refine the inputs later.
 
p.136, 141 The future is uncertain, but people keep trying to forecast it anyway... Forecasts are an integral part of the Cycle of Action. They are most useful in developing the action sequence, but they can also be important in the process of goal setting and in the evaluation of how actual events compare to our goals. In spite of their failings... they are an essential part of life and work... it is important to adopt strategies that are robust in the face of inevitably imperfect forecasts
 

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