Context is to data what water is to a dolphin
In the first study, Grant and his colleagues analyzed data from one of the five biggest pizza chains in the United States. They discovered that the weekly profits of the stores managed by extroverts were 16 percent higher than the profits of those led by introverts—but only when the employees were passive types who tended to do their job without exercising initiative. Introverted leaders had the exact opposite results. When they worked with employees who actively tried to improve work procedures, their stores outperformed those led by extroverts by more than 14 percent.
The investigation of causal relations between economic phenomena presents many problems of peculiar difficulty, and offers many opportunities for fallacious conclusions. Since the statistician can seldom or never make experiments for himself, he has to accept the data of daily experience, and discuss as best he can the relations of a whole group of changes; he cannot, like the physicist, narrow down the issue to the effect of one variation at a time. The problems of statistics are in this sense far more complex than the problems of physics.
The shell model, although proposed by theoreticians, really corresponds to the experimentalist's approach. It was born from a thorough study of the experimental data, plotting them in different ways, and looking for interconnections.
While, on the one hand, the end of scientific investigation is the discovery of laws, on the other, science will have reached its highest goal when it shall have reduced ultimate laws to one or two, the necessity of which lies outside the sphere of our cognition. These ultimate laws-in the domain of physical science at least-will be the dynamical laws of the relations of matter to number, space, and time. The ultimate data will be number, matter, space, and time themselves. When these relations shall be known, all physical phenomena will be a branch of pure mathematics.
Perhaps generations of students of human evolution, including myself, have been flailing about in the dark; that our data base is too sparse, too slippery, for it to be able to mold our theories. Rather the theories are more statements about us and ideology than about the past. Paleontology reveals more about how humans view themselves than it does about how humans came about, but that is heresy.
Paleontologists [fossil experts] have paid an exorbitant price for Darwin's argument. We fancy ourselves as the only true students of life's history, yet to preserve our favored account of evolution by natural selection we view our data as so bad that we almost never see the very process we profess to study.
If you intend to study the mind, you must have systematic training; you must practice to bring the mind under your control, to attain to that consciousness from which you will be able to study the mind and remain unmoved by any of its wild gyrations. Otherwise the facts observed will not be reliable; they will not apply to all people and therefore will not be truly facts or data at all.
I have never left the company. I keep a tiny residual salary to this day because that's where my loyalty should be forever. I want to be an "employee" on the company data base. I won't engineer, I'd rather be basically retired, due to my family. (talking about his relationship with Apple Inc)
Information is not synonymous with knowledge. Information is only data, parts of the whole. Knowledge has a moral imperative to enhance intellectual and spiritual unity.
When we have all data online it will be great for humanity. It is a prerequisite to solving many problems that humankind faces.
The fact that all normal children acquire essentially comparable grammars of great complexity with remarkable rapidity suggests that human beings are somehow specially designed to do this, with data-handling or 'hypothesis-formulating' ability of unknown character and complexity.
There is so much data available to us, but most data won't help us succeed.
If you are looking at data over and over you better be taking away valuable insight every time. If you are constantly looking at data that isn't leading to strategic action stop wasting your time and look for more Actionable Analytics.
I hate when people ask me to: "Massage the data".
Data can't speak for itself; it's up to you to give it a voice. Try to speak truthfully.
This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization.
Visualization is often used for evil - twisting insignificant data changes and making them look meaningful. Don't do that crap if you want to be my friend. Present results clearly and honestly. If something isn't working - those reviewing results need to know.
I'm getting hassled by a couple of people to release the CRU station temperature data. Don't any of you three tell anybody that the UK has a Freedom of Information Act.
I know there is pressure to present a nice tidy story as regards 'apparent unprecedented warming in a thousand years or more in the proxy data' but in reality the situation is no quite so simple.
Hermeneutics is a way of looking at Being as an inheritance that is never considered as ultimate data. Capitalism has always grown by considering, or forcing another to consider, as a 'natural' possession what is inherited. The great dominating families are really the inheritors of the strongest pirates, thieves, and bandits, and they consider themselves entitled to command through a divine or natural law, when they really are only the result of a forgotten 'violence'.
Data is what distinguishes the dilettante from the artist
Even the best data security systems can't protect private taxpayer information from entrepreneurial foreign businesses than can make huge profits selling U.S. taxpayer information.
Rule 1. Original data should be presented in a way that will preserve the evidence in the original data for all the predictions assumed to be useful.
Data is of course important in manufacturing, but I place the greatest emphasis on facts.
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