Quotes About Quantification

In Zadeh's math, we can say "This animal belongs 90% to the fish family and 10% to the amphibian family." "This animal belongs 60% to the ape family and 40% to the hominid family." See? Just like the Coke can contains 60 % coke and 40% air. I told you I wouldn't leave us wandering in the dark with the Fundamentalists . . .

we can't think in anything but economic terms, our ethics must be quantified and rated for the effects that our actions have on GDP. This

Reality is mathematical, as long as you understand that uncertainty and contingency can be mathematically described, without them becoming any more certain.

It's the structure of feeling in our time; we can't think in anything but economic terms, our ethics must be quantified and rated for the effects that our actions have on GDP. This is said to be the only thing people can agree on. Although those who say this are often economists.

if you wish to obey the old adage and know thyself, you should not waste your time on philosophy, meditation or psychoanalysis, but rather you should systematically collect biometric data and allow algorithms to analyse them for you and tell you who you are and what you should do. The movement's motto is 'Self-knowledge through numbers'.

Mathematics doesn't care about those beyond the numbers.

When you cannot measure, your knowledge is meager and unsatisfactory.

A job is bound to be miserable if it doesn't involve measurement.

Mysteries that are destroyed by measurement were never truly mysterious;

I still think I love him more. It's one of those things you never know for certain because there's no way to enter all the relationship data in a computer and have it spit out a definitive answer. You can't quantify love, and if you try, you wind up focusing on misleading factors.

Measure what can be measured, and make measurable what cannot be measured.

When you can measure what you are speaking about, and express it in numbers, you know something about it.

The essential fact is that all the pictures which science now draws of nature, and which alone seem capable of according with observational facts, are mathematical pictures.

All science requires mathematics.

The first requirement in using statistics is that the facts treated shall be reduced to comparable units.

In many spheres of human endeavor, from science to business to education to economic policy, good decisions depend on good measurement.

Not everything that matters can be quantified. What is tested may ultimately be less important than what is untested, such as a student's ability to seek alternative explanations, to raise questions, to pursue knowledge on his own, and to think differently. If we do not treasure our individualists, we will lose the spirit of innovation, inquiry, imagination, and dissent that has contributed powerfully to the success of our society in many different fields of endeavor.

The key idea is that product and project attributes that have economic value should be quantified using a standardized and useful unit of measure: life-cycle profit impact.

The most characteristic feature of metric fixation is the aspiration to replace judgment based on experience with standardized measurement.

We live in a culture that venerates scores. We affix numbers to how much fat is in our mochachinos, how quickly our telephones suck information from the air, how much pain we're in. Reading, too, has become a skill to quantifiably assess.

Matter is lazy. It resists change. It wants to keep on doing whatever it's doing, whether that's sitting still or moving. We call that laziness inertia, but that doesn't mean we understand it. For a thousand years we've labelled it, quantified it, caged it in equations, but we've still only scratched the surface of what it really is.

Come si può mettere la Nona di Beethoven in un diagramma cartesiano? Ci sono delle realtà che non sono quantificabili. L'universo non è i miei numeri: è pervaso tutto dal mistero. Chi non ha il senso del mistero è un uomo mezzo morto.

Pretending that something doesn't exist if it's hard to quantify leads to faulty models. You've already seen the system trap that comes from setting goals around what is easily measured, rather than around what is important. So

When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely in your thoughts advanced to the state of science. —Lord Kelvin (1824–1907),