Quotes About Data

Ideally, Facebook would take all our clicks and information and would magically give us everything we want, without us even knowing we want it.

The best moments are when, together with... you bring information, you bring data to bear in a way that helps illuminate something that you just don't really understand. Even if it doesn't completely clarify it, it just, you know, helps bring it together.

I consider the pixel data in images and video to be the dark matter of the Internet.

In healthcare, we are beginning to see that AI can read the radiology images better than most radiologists. In education, we have a lot of data, and companies like Coursera are putting up a lot of content online.

Data is something we create, but it's also something we imagine.

While data can only tell you what has happened in the past, it can in some ways give you a sense of what might be of interest to an audience in the future.

Think of your project as "one of those," gather data, and learn from all the experience those numbers represent by making reference-class forecasts. Use the same focus to spot and mitigate risks. Switching the focus from your project to the class your project belongs to will lead, paradoxically, to a more accurate understanding of your project.

We therefore conclude that cost overrun has not decreased over time. Cost overrun today is in the same order of magnitude as it was ten, thirty or seventy years ago. If techniques and skills for estimating costs and avoiding cost overrun in transport infrastructure projects have improved over time, this does not show in the data. No learning seems to take place in this important and highly costly sector of public and private decision making.

Nevertheless, with respect to cost development, there is a striking similarity between these and other major projects: there is a tendency towards a significant underestimation of costs during project appraisal. This is also the conclusion we draw when we review data from a large number of major transport infrastructure projects, and from other types of project as well.

See your project as one in a class of similar projects already done, as "one of those." Use data from that class—about cost, time, benefits, or whatever else you want to forecast—as your anchor. Then adjust up or down, if necessary, to reflect how your specific project differs from the mean in the class. That's it.

We're building what's called a private cloud for them [the C.I.A.] ... because they don't want to be on the public cloud.

The familiar world of substantial objects and enduring persons is, according to the dhamma theory, a conceptual construct fashioned by the mind out of the raw data provided by the dhammas. The entities of our everyday frame of reference possess merely a consensual reality derivative upon the foundational stratum of the dhammas.

Kinsey was trying to study sex scientifically, get rid of the overlay of culture and religion.

The End of Nature was the first book for a general audience about global warming; it came out in 1989 and soon appeared in more than twenty languages. At the time, the available data on climate change still fit on the top of my desk. What's astonishing is that twenty years later most of the predictions scientists were then making have proved too conservative.

The Keeling Curve Courtesy the NASA Earth Observatory. NASA graph by Robert Simmon, based on data provided by the NOAA Climate Monitoring and Diagnostics Laboratory.   If the scientific story of global warming has one great hero, he is James Hansen, and not only because he is the most important climatologist of his era, whose massive computer models were demonstrating by the early 1980s that increased CO2 posed a dire threat.

Oddly enough, Tootsie Rolls and Tootsie Pops aren't classified as chocolate under the definitions federal officials use when collecting data on the candy industry.

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Fear is a far more dominant force in human behaviour than euphoria - I would never have expected that or given it a moment's thought before, but it shows up in the data in so many ways.

The idea would be in my mind - and I know it sounds strange - is that the most important advances in medicine would be made not by new knowledge in molecular biology, because that's exceeding what we can even use. It'll be made by mathematicians, physicists, computer scientists, figuring out a way to get all that information together.

Would-be drug companies must either produce medicines that stand up to federal scrutiny, demonstrate that their data has value to other companies, or go out of business.

I actually think people generally have an awareness and feel like, 'Wow, these networks have a lot of information.'

It's crazy to me that in this world of electronic medical records Walmart has so much information about how we shop, but no one has that information about our health. Why can't my doctor say, 'Wow, Anne, based on your lifestyle and behavior, you're five years from being diabetic.' But I can go to Target, and they know exactly what I'm going to buy.

I said Donald Trump could never be elected, confidently fueled by the empirical data of professional polling, a certainty in the vital necessity of field operations, and the knowledge his own campaign team (even on the night of the election) was ratting out the shambolic train wreck his campaign had been. I was wrong.

Once information slipped the bonds of gravity and friction, it tended to gather where it was most valuable.