Data Quotes - Page 14

A hacker doesnt deliberately destroy data or profit from his activities.

If we gather more and more data and establish more and more associations, however, we will not finally find that we know something. We will simply end up having more and more data and larger sets of correlations.

I organized this global series of races. The data from those races, along with the tremendous amount of lobbying and meetings with federations, convinced the IOC. We got the women's marathon in the Olympic Games in 1984. That was my dream.

Recent data and research supports the importance of natural climate variability and calls into question the conclusion that humans are the dominant cause of recent climate change.

Wikipedia was offline after an overheating problem at one of its data centers. It was pretty bad. For a while there, people had nowhere to go for phony, inaccurate information.

We are surrounded by data, but starved for insights.

I do read very, very quickly. I do process data very quickly. And so I write very quickly. And it is embarrassing because there is a conception that the things that you do quickly are not done well. I think that's probably one of the reasons I don't like the idea of prolific.

There is no more effective medicine to apply to feverish public sentiments than figures.

No generalizing beyond the data, no theory. No theory, no insight. And if no insight, why do research.

Random search for data on ... off-chance is hardly scientific. A questionnaire on 'Intellectual Immoralities' was circulated by a well-known institution. 'Intellectual Immorality No. 4' read: 'Generalizing beyond one's data'. [Wilder Dwight] Bancroft asked whether it would not be more correct to word question no. 4 'Not generalizing beyond one's data.

I personally think honestly disclosing rather than hiding ones subjective values makes for more honest and trustworthy journalism. But no journalism - from the most stylistically objective to the most brazenly opinionated - has any real value unless it is grounded in facts, evidence, and verifiable data.

If we analyse the supernova data by assuming the Copernican principle is correct and get out something unphysical, I think we should start questioning the Copernican principle…. Whatever our theoretical predilections, they will in the end have to give way to the observational evidence.

The single greatest business opportunity that is now emerging in the global marketplace is the ability to analyze digital log data to trace digital actions and from those traces to develop algorithms that can predict future outcomes with greater accuracy.

Early in a startup, product decisions should be hunch driven. Later on, product decisions should be data driven.

I don't see the logic of rejecting data just because they seem incredible.

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 only thing they [government] want is better data. But data doesn't tell people someone is well educated. It's a vicious circle. There is some myth involved. Some of this attitude has a long history.

We should teach the students, as well as executives, how to conduct experiments, how to examine data, and how to use these tools to make better decisions.

Disruptive technology is a theory. It says this will happen and this is why; it's a statement of cause and effect. In our teaching we have so exalted the virtues of data-driven decision making that in many ways we condemn managers only to be able to take action after the data is clear and the game is over. In many ways a good theory is more accurate than data. It allows you to see into the future more clearly.

Lastly, the great uncertainty of all data in War is a peculiar difficulty, because all action must, to a certain extent, be planned in a mere twilight, which in addition not unfrequently — like the effect of a fog or moonshine — gives to things exaggerated dimensions and an unnatural appearance.

Looking at the data and at my drug use and evaluating it carefully just let me see that I wasn't special, but my drug use challenged what I thought about cocaine. Because I would accept when I would say, "What happened to that person?" and someone would say, "They started using cocaine...they went downhill..." I would just accept that, even though I had a different experience and all these other people had a different experience. But I would throw that out because I thought my experience was an aberration.

There are two sources of error: Either you lack sufficient data, or you fail to take advantage of the data that you have.

If you look at the polling data, long before anyone had thought about Iraq, it was the [George W.] Bush Administration's decision in the first few weeks in its tenure in office to abnegate the Kyoto treaties that set our international perception into a nose-dive. People around the world looked on in amazement as the biggest part of the problem decided it wasn't going to make any effort to help with the solution.

I think that having good data, good statistics-and the United States generally has better macroeconomic statistics than most countries-and having good economists to interpret those data and present the policy alternatives, has a substantially beneficial effect on policymaking in the United States.

When a human being becomes a set of data on a website like Facebook, he or she is reduced. Everything shrinks. Individual character. Friendships. Language. Sensibility.