For all practical decision-making purposes, we need to treat measurement as observations that quantitatively reduce uncertainty. A mere reduction, not necessarily elimination, of uncertainty will suff...
For all practical decision-making purposes, we need to treat measurement as observations that quantitatively reduce uncertainty.
Given a particular observation, it may seem more obvious to frame a measurement by asking the question, What can I conclude from this observation? or, in probabilistic terms, What is the probability X...
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 lo...
If we incorrectly think that measurement means meeting some nearly unachievable standard of certainty, then few things will be measurable even in the physical sciences.
If you don’t know what to measure, measure anyway. You’ll learn what to measure.
If you know almost nothing, almost anything will tell you something.
Instead of being overwhelmed by the apparent uncertainty in such a problem, start to ask what things about it you do know.
Is a programmer who gets 99% of assignments done on time and 95% error free better than one who gets only 92% done on time but with a 99% error-free rate? Is total product quality higher if the defect...
It is not too bold a statement to say that a software development project is one of the riskiest investments a business makes. For example, the chance of a large software project being canceled increa...
It is the mark of an educated mind to rest satisfied with the degree of precision which the nature of the subject admits and not to seek exactness where only an approximation is possible. —Aristotle (...
It seems that to have a truly profound revelation, you almost always have to look at something other than what you have been looking at in the past. Being able to compute the value of information has...
Knowing something about the monetary value and cost of the information in a measurement puts a new light on what is measurable. If someone says a measurement would be too expensive, we have to ask, Co...
Measurement: A quantitatively expressed reduction of uncertainty based on one or more observations.
Modeling the world mathematically is as uniquely a human trait as language or art, but you would rarely find anyone complaining of being reduced to a poem or reduced to a painting.
Myth: When you have a lot of uncertainty, you need a lot of data to tell you something useful. Fact: If you have a lot of uncertainty now, you don’t need much data to reduce uncertainty significantly....
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