Quotes About Data

Based on this sort positive data, Leonard Kish, a health information technologist, has rightfully called the engaged patient the "blockbuster drug of the century."15

Intel Healthcare survey of 12,002 people from eight countries showed that more than 76 percent were willing to share health data anonymously.18

appeal in the general marketplace. Estimated OLS function: Y = 2.06 + 0.57x, where Y represents attractiveness of innovation and x represents lead-user-ness of respondent. Adjusted R2 = 0.281; p = 0.002; n = 30. Source of data: Franke and von Hippel 2003. Why Many Users Want

I looked into the literature on this," said Nightingale, "and it wasn't very helpful." "There's a literature about this?" "You'd be amazed, Constable, about what there's a literature on.

Possessing a weapon has made me bashful. Tears appreciate in this economy of pleasure. The ether of data engulfs the capitol. Possessing a weapon has made me forgetful. My oboe tars her cenotaph. The surface is in process. Coruscant skinks emerge in force. The moon spits on a copse of spruce. Plausible opposites stir in the brush. Jupiter spins in its ruts. The wind extends its every courtesy. I have never been here. Understand? You have never seen me.

Economists are criticized for not being able to predict the future, but, because the data are incomplete and subject to revision, we cannot even be sure what happened in the recent past. Noisy data make effective policymaking all the more difficult.

but with limited data their answers involved a lot of guesswork.

The initial August report showed a complete stall in job growth.

They flattened out in 2006 but did not decline much initially

in part because financial crises are (fortunately) rare enough that relevant data are scarce.

As a general rule the most successful man in life is the man who has the best information.

Some economists, when thinking about long memory, are concerned that it undercuts the Efficient Market Hypothesis that prices fully reflect all relevant information; that the random walk is the best metaphor to describe such markets; and that you cannot beat such an unpredictable market. Well, the Efficient Market Hypothesis is no more than that, a hypothesis. Many a grand theory has died under the onslaught of real data.

If you're in a motion-capture studio, you have spherical, reflective markers, which are picked up by cameras that emit infrared - it reflects it, and then the cameras pick up the data.

The observation that money changes induce output changes in the same direction receives confirmation in some data sets but is hard to see in others. Large-scale reductions in money growth can be associated with large-scale depressions or, if carried out in the form of a credible reform, with no depression at all.

I'm not a fan of the #DeleteFacebook campaign. I think that they can reform.

It is very important, to have a robust digital economy, that the citizens regain the trust in how their data are being processed and who can access them.

The Internet was invented in an age when our entire approach to regulation has been extremely lax, and so you'd think, 'OK, there might be a law on the books that governs how these corporations can handle our data.'

I related to the whole hippie, acid-test confluence of the early Internet. The idea that we should be open and interoperate with our data resonated with me.

I was in rehearsal and reading the script and I was like, 'Wait, wait, wait, wait. I think I'm related to Data,' which was crazy but that was really cool. Going back to watch' Next Generation' and getting to see Brent doing his thing and just how incredible he was and it was obvious to see why he was such a beloved character.

I've always believed that human learning is the result of relatively simple rules combined with massive amounts of hardware and massive amounts of data.

I wrote an editorial piece in 'Science' about the nightly data release and how I thought it was bad for science as a field, I think a few years before Celera was formed.

Companies are getting bitten by hiring a data scientist who isn't really a data scientist.

Our personal data belongs to us. Government holds it on trust.

Diving into data has never been more critical for businesses in order to make fast, accurate decisions about customer behaviors and needs and drive holistic business knowledge.