Best 902 quotes in «data quotes» category

The weather records of the U.S.A. are the best kept and most accessible in the world, thanks to consistent government/military taxpayer support. There are longer European data sets, but the U.S.A. data is enough to forecast major extreme events.

The weaker the data available upon which to base one's conclusion, the greater the precision which should be quoted in order to give the data authenticity.

The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way weve taught managers to make decisions and consultants to analyze problems condemns them to taking action when its too late.

The whole point of building theoretical systems is to explain what humans know by pre-theoretical experience. That is the starting point for any philosophy. That is the data it seeks to explain. If it fails to explain the data of experience, then it has failed the test. It has been falsified.

The World Bank is the monopoly provider of poverty data and, partly due to a leadership change there, the World Bank's reporting has been heavily on the rosy side since about 2000. The Bank's cultivation of an upbeat picture affords a very interesting lesson in statistics and how you can, depending on which numbers you present and how you present them, create a more positive or more negative impression of the evolution of poverty.

The World Health Organization recently published some data showing that each overweight person causes and additional one tonne of CO2 to be emitted every year. With one billion people overweight around the world-of whom at least 300 million are obese-that's an additional one billion tonnes.

The world is now awash in data and we can see consumers in a lot clearer ways.

The world is one big data problem.

things in this world are very roughly averaged; and although averaging is a useful, rapid way of dispatching business, it does undoubtedly waste a great deal which is too good for wasting.

Things get done only if the data we gather can inform and inspire those in a position to make a difference.

This is an ongoing threat from a variety of sources around the world. And actually I think it works both ways. I'm not privy to it, but I think all of the various country that have the ability are invading each other's computers all the time. But we have to protect our data. It's very important.

Those who promote the politically correct theory are favored with billions from government grants and neo-Marxist environmentalist largesse, and official recognition and award. Faked and tampered data and evidence has arisen in favor of the politically correct theory. Is not man-caused, catastrophic global warming now the only theory allowed to be taught in the West?

Those fields which most depend upon authoritative opinion for their data least contain known natural law.

Three things are certain: Death, taxes, and lost data. Guess which has occurred.

Though the world does not change with a change of paradigm, the scientist afterward works in a different world... I am convinced that we must learn to make sense of statements that at least resemble these. What occurs during a scientific revolution is not fully reducible to a re-interpretation of individual and stable data. In the first place, the data are not unequivocally stable.

Thought, without the data on which to structure that thought, leads nowhere.

Through persistent, effective, and diligent work, a person can accumulate knowledge in the form of facts, data, information, and experience. Intelligence, however, can only be gained through obedience. Thus, knowledge is a prerequisite to and foundation for true spiritual intelligence.

To construct a scientific theory from the data and to be able to recognize that it is a reasonable theory is possible only if there are some very sharp restrictive principles that lead you to go in one direction and not in another direction. Otherwise, you wouldn't have science at all, merely randomly chosen hypotheses.

TIA was being used by real users, working on real data - foreign data. Data where privacy is not an issue.

Today the patent office is obsolete. You just take whatever you do, tool up, and start production for six months. At the end of the six months you put the data on all the computer inputs all over the world and you got your business. You can make all your money, and then people can steal it, but by then it doesn't matter because you've made the money up front and you avoid wasting money in lawsuits. [My father] had all these kinds of ideas years ahead of others.

Too few people in computer science are aware of some of the informational challenges in biology and their implications for the world. We can store an incredible amount of data very cheaply.

Today we all give all our data away all day long while aiming to maintaining our privacy.

Too often we forget that genius, too, depends upon the data within its reach, that even Archimedes could not have devised Edison's inventions.

Today the data linking violence in the media to violence in society are superior to those linking cancer and tobacco.

To many of us now, computers, silicon chips, data processing, cybernetics, and all the other innovations of the dawning high technology age are as mystifying as the workings of the combustion engine must have been when that first Model T rattled down Main Street, U.S.A. But as surely as America's pioneer spirit made us the industrial giant of the 20th century, the same pioneer spirit today is opening up on another vast front of opportunity, the frontier of high technology.

To me, the main weakness of EDA is its failure to enquire why the data were collected in the first place and its consequent tendency to apply ingenious methods largely because they are so attractively ingenious.

To no circumstance is the wide diffusion of error in the world more owing than to our habit of adopting conclusions from insufficiently established data. An indispensable preliminary, then, in every investigation, is to get at facts. Until these are arrived at, every opinion, theory, or system, however ingeniously framed, must necessarily rest upon an uncertain basis.

To write it, it took three months; to conceive it three minutes; to collect the data in it all my life.

Trimming consists of clipping off little bits here and there from those observations which differ most in excess from the mean, and in sticking them onto those which are too small; a species of 'equitable adjustment,' as a radical would term it, which cannot be admitted in science.

Twitter, Reddit, Tumblr, Instagram, all these companies are businesses first, but, as a close second, they're demographers of unprecedented reach, thoroughness, and importance. Practically as an accident, digital data can now show us how we fight, how we love, how we age, who we are, and how we're changing. All we have to do is look.

Turning something into low resolution data does seem to make it worth less in the modern world.

Twenty percent of all input forms filled out by people contain bad data.

Ultimately, thinking is a very inefficient method of processing data.

Uncontrolled access to data, with no audit trail of activity and no oversight would be going too far. This applies to both commercial and government use of data about people.

Under my definition, a scientific theory is a proposed explanation which focuses or points to physical, observable data and logical inferences. There are many things throughout the history of science which we now think to be incorrect which nonetheless would fit that which would fit that definition. Yes, astrology is in fact one.

Unlike earlier thinkers, who had sought to improve their accuracy by getting rid of error, Laplace realized that you should try to get more error: aggregate enough flawed data, and you get a glimpse of the truth. "The genius of statistics, as Laplace defined it, was that it did not ignore errors; it quantified them," the writer Louis Menand observed. "...The right answer is, in a sense, a function of the mistakes.

Unlike return, however, risk is no more quantifiable at the end of an investment that it was at its beginning. Risk simply cannot be described by a single number. Intuitively we understand that risk varies from investment to investment: a government bond is not as risky as the stock of a high-technology company. But investments do not provide information about their risks the way food packages provide nutritional data.

Unlike the position that exists in the physical sciences, in economics and other disciplines that deal with essentially complex phenomena, the aspects of the events to be accounted for about which we can get quantitative data are necessarily limited and may not include the important ones.

Vaughan Telecom installers and contractors ensure the highest quality service for data and network cabling in Toronto and GTA area.

Using TrackMan is very important in the development of your golf game because it gives you such good data on what your golf swing is doing and where it needs to go.

US intelligence agencies will only use such data to meet specific security requirements: counterintelligence, counterterrorism, counterproliferation, cybersecurity, force protection for our troops and allies, and combating transnational crime, including sanctions evasion.

Video is originally a de-corporation, a disqualification of the sensorial organs which are replaced by machines. The eye and the hand are replaced by the data glove, the body is replaced by a data suit, sex is replaced by cybersex. All the qualities of the body are transferred to the machine.

We are not at the same place we were in 1973. This country today is drifting, moving steadily towards the pro-life position because the data is with us.

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.

We all say data is the next white oil. [Owning the oil field is not as important as owning the refinery because what will make the big money is in refining the oil. Same goes with data, and making sure you extract the real value out of the data.]

We are now at a point in time when the ability to receive, utilize, store, transform and transmit data - the lowest cognitive form - has expanded literally beyond comprehension. Understanding and wisdom are largely forgotten as we struggle under an avalanche of data and information.

We are surrounded by data, but starved for insights.

Wayne Gretzky's talent doesn't come from studying everything he's experienced in hockey and making long-term game plans. It comes from constantly taking in all the data that's happening in the moment on the ice, and instantly generating constant predictions based on super-efficient mental models he's built in his head. Technology has to work more like Gretzky.

We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out picture is clear and accurate. But is it?

We apply fight-or-flight reflexes not only to predators, but to data itself.