Best 902 quotes in «data quotes» category

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.

The fact is that astrological beliefs go back at least 2,500 years. Now that should be a sufficiently long time for astrologers to prove their case. They have not proved their case...It's just simply gibberish. The fact is, there's no theory for it, there are no observational data for it. It's been tested and tested over the centuries.

The fact that radio is so hopeless at delivering data makes it an uncluttered medium, offering the basic story without the detailed trappings. But it does mean that if data is important, radio is probably not your place.

The fact that we all leave behind seemingly insignificant clues behind ourselves - emotional DNA or what I call Small Data - which are able to describe with an insane accuracy who we really are, our personalities and desires. But even more how we all represents out of balances - perhaps I feel too overweight, feel alone or feel I haven't achieved what I'd hoped for when hitting 40. These imbalances are surprisingly visible when visiting consumers' homes - and surprisingly invisible when relaying on Big Data.

The fewer data needed, the better the information. And an overload of information, that is, anything much beyond what is truly needed, leads to information blackout. It does not enrich, but impoverishes.

The former secretary of State is the nominee. She is also the Willie Sutton of classified data. And there is going to be a long-term effort of Republicans, whether it's Donald Trump, Marco Rubio, or Ted Cruz, to paint her into the corner.

The four most dangerous words in finance are 'this time is different.' Thanks to this masterpiece by Carmen Reinhart at the University of Maryland and Kenneth Rogoff of Harvard, no one can doubt this again. . . . The authors have put an immense amount of work into collecting the data financial institutions needed if they were to have any chance of making quantitative risk management work.

The future of marketing belongs to honest information, accurate data and clear claims based on truth.

The future of marketing isn't big data, it's big understanding.

The greatest value of a picture is when it forces us to notice what we never expected to see.

The great temptation of Big Data is that we can stop worrying about comprehension and focus on preventive action instead. Instead of wasting precious public resources on understanding the 'why' - i.e., exploring the reasons as to why terrorists become terrorists - one can focus on predicting the 'when' so that a timely intervention could be made.

The historical data support one conclusion with unusual force: To invest with success, you must be a long-term investor.

The intellectual equipment needed for the job of the future is an ability to define problems, quickly assimilate relevant data, conceptualize and reorganize the information, make deductive and inductive leaps with it, ask hard questions about it, discuss findings with colleagues, work collaboratively to find solutions and then convince others.

The information highway is being sold to us as delivering information, but what it's really delivering is data... Unlike data, information has utility, timeliness, accuracy, a pedigree... Editors serve as barometers of quality, and most of an editor's time is spent saying no.

The intellectual treatment of any datum, any experience, any subject, is determined by the nature of our questions, and only carried out in the answers.

The key to good decision making is evaluating the available information - the data - and combining it with your own estimates of pluses and minuses. As an economist, I do this every day.

The internet explodes when somebody has the creativity to look at a piece of data that's put there for one reason and realise they can connect it with something else.

The internet wasn't created for mockery, it was supposed to help researchers at different universities share data sets. It was!

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 key is to let computers do what they are good at, which is trawling these massive data sets for something that is mathematically odd. And that makes it easier for humans to do what they are good at - explaining those anomalies.

The internet doesn't have any qualities, technical qualities. It's just fast, reaching out everywhere and so, it can process that and that volume of data flows and so, but it doesn't have any qualities like "good" or "bad" or "ethical" or "non-ethical". It's humans, it's us, not the internet.

The launch of Google+ apps sends a powerful signal - the personalized web has begun. What this means is that the way information is structured and accessed will turn on the individual, or rather their personal profile which is a composite of all the data collected on the basis of what they have searched for and shared.

The librarian isn't a clerk who happens to work in a library. A librarian is a data hound, a guide, a sherpa and a teacher. The librarian is the interface between reams of data and the untrained but motivated user.

The level of ignorance is declining, and the ability to accumulate data and manipulate it for various ends is increasing.

The materialistic paradigm of Western science has been a major obstacle for any objective evaluation of the data describing the events occurring at the time of death.

The main thing is that people see constant reports of break-ins on, on record systems and stolen financial data and social security records and so they'd think about you know what's going to prevent that happening with my medical records. And interestingly enough, patients are less worried about that than their doctors are.

The literature has become too vast to comprehend...It is...difficult to grasp even for workers in closely neighboring fields. ...There is much more reliance on word of mouth for the transmission of scientific data...gossip.

The man who has successfully solved the problem of his relations with the two worlds of data and symbols is a man who has no beliefs. With regard to the problems of practical life he entertains a series of working hypotheses, which serve his purposes, but are taken no more seriously than any other kind of tool or instrument. In other words, symbols should never be raised to the rank of dogmas, nor should any system be regarded as more than a provisional convenience.

The mathematician starts with a few propositions, the proof of which is so obvious that they are called self-evident, and the rest of his work consists of subtle deductions from them. The teaching of languages, at any rate as ordinarily practiced, is of the same general nature authority and tradition furnish the data, and the mental operations are deductive.

The mind, in short, works on the data it receives very much as a sculptor works on his block of stone. In a sense the statue stoodthere from eternity. But there were a thousand different ones beside it, and the sculptor alone is to thank for having extricated this one from the rest.

The mind, in short, works on the data it receives very much as the sculptor works on his block of stone.

The mind when it has an old experience will add that data into its current experience, and it keeps coming up with wrong answers.

The next darwin is more likely to be a data wonk than a naturalist wandering through an exotic landscape.

The more the data banks record about each one of us, the less we exist.

The most important question regarding Big Data at almost any company is: How much are your customers really worth?

The Noisiest buzz in the industry lately has been over the emerging use of cable TV systems to provide fast network data transmissions using a device called a cable modem. But the likelihood of this technology succeeding is zilch.

The modern marketer is: an experimenter, a lover of data, a content creator, a justifier of ROI.

The once-science-fiction notion of hyper-connectivity - where we are all constantly connected to social networks and other bubbling streams of digital data - has rapidly become a widespread reality.

Theories come and go, but fundamental data always remains.

The one thing that I have learned from all these projects is that the key to transformative change is to make the system see itself. That’s why deep data matters. It matters to the future of our institutions, our societies, and our planet.

The outstanding feature, however, is the possibility that the velocity-distance relation may represent the de Sitter effect, and hence that numerical data may be introduced into discussions of the general curvature of space.

The only basis for even talking about global warming is the predictions spewed out by computer models. The only quote/unquote "evidence" of global warming is what models are predicting the climate and the weather will be in the next 50 to 100 years. Now, what those models spit out is only as good as the data that's put in, and it's an absolute joke. In terms of science, it's a total joke. There is no warming, global or otherwise!

Theory without data is myth: data without theory is madness.

The outsourcing of our memory to machines expands the amount of data to which we have access, but degrades our brain’s own ability to remember things.

The paradigm of physics - with its interplay of data, theory and prediction - is the most powerful in science.

The part of my brain that was responsible for creating the world I lived and moved in and for taking the raw data that came in through my senses and fashioning it into a meaningful universe: that part of my brain was down, and out. And yet despite all of this, I had been alive, and aware, truly aware, in a universe characterized above all by love, consciousness, and reality. There was, for me, simply no arguing this fact. I knew it so completely that I ached.

The real justification for psychedelics is that they feed new data into your model.

The President's science advisor, who is a former Harvard professor named Holdren, is involved in the email scandals and covering up the fact that data has been lost, the fact that contrary opinions to the global warming crowd has been squeezed out of scientific journals ... Now this is an international conspiracy.

The psychedelic universe, whatever it is, is the major datum of experience. It's larger than this planet. Nobody knows how large it is. The further in you go the bigger it gets. We don't know what to make of something like that. It's the reverse of our expectations.

The purpose of models is not to fit the data but to sharpen the question.