Data Quotes - Page 34

Chunking is the ability of the brain to learn from data you take in, without having to go back and access or think about all that data every time. As a kid learning how to ride a bike, for instance, you have to think about everything you're doing. You're brain is taking in all that data, and constantly putting it together, seeing patterns, and chunking them together at a higher level. So eventually, when you get on a bike, your brain doesn't have to think about how to ride a bike anymore. You've chunked bike riding.

One thing that's really interesting is not only the magnitude of the recent immigration into this country, but also its distribution and its investment in the country. About 9.3 percent of the population is now foreign-born [announced by the Census Bureau at over 10 percent a few days later]. What's really surprising is how well distributed those population groups are. Historically, we see new immigrants primarily on the coast and in a few big cities. I think the data are going to show a much wider distribution of the new population groups than we've experienced historically.

Steven Tepper's Not Here, Not Now, Not That! offers invaluable insights into how social change and uncertainty drive protests over art. With fresh data and perspectives, Tepper makes a compelling case that cultural conflicts are largely homegrown, tied to each community's shifting demographics and values. It's an eye-opening work.

In fact, The Party has provided so much of the ground game and field operation and data operation to supplement what we already had, when I got here, and what we're building on, that we literally are doing it with them, in these swing states. The RNC is the party. And the RNC is also helping these candidates.

I think it's a good idea to be - to fairly identify where things could have gone better once you get the facts, once you get the data and once you're able to review.

Hans Rosling typically would go into the room, and he would ask the audience questions. Often they had to answer them with clickers or raising their hands or something. We get [data] wrong because 50 years ago that wasn't the case and because we haven't had these graphics we don't realize that over the last 30, 40, 50 years things have changed dramatically. And you see how the world has been getting a better, safer, more homogeneous place. It just has.

In fact, when you try to use [Hans Rosling] data to predict the future, all sorts of problems arise. But what it does do is say, hey, just catch your breath a minute and see what's really been going on. We do have reason to feel good about the fact we've made progress.

Gender data is important. If girls don’t have a birth certificate, how do we know how many are marrying as children?

But even if you thought they were adequate at the time, when you're collecting data in bulk-you've got it. The data lasts until you delete it; the rules only last until you decide to change them, and change them in secret.

On social networking sites, we may expose ourselves, but we choose to do so. We are in control and, often wrongly, we do not feel we are giving away tradable data.

The scientists Heartland works with demanded we host a ninth conference this year to foster a much-needed frank, honest, and open discussion of the current state of climate science and we just couldn't refuse. The public, the press, and the scientific community will all benefit from learning about the latest research and observational data that indicate climate science is anything but 'settled.

I don't think that I am hopeful because I have some data that you don't, that I am going to share with you and going to convince you on that basis.

Take the self-driving car and the smartphone and put those together and think about how to manage a smart grid because suddenly you have all of this data coming from those two mechanisms that allow for a much higher level of allocating energy much more efficiently.

I don't practice, but I am still officially in paediatrics. I keep in touch with journals, and I have a very good data bank of medical information and there is a key thing for a writer knowing where to go. I know where to go to get the information that I need.

He became another data point in the American experiment of self-government, an experiment statistically skewed from the outset, because it wasn't the people with sociable genes who fled the crowded Old World for the new continent; it was the people who didn't get along well with others.

Every good writer I know needs to go into some deep, quiet place to do work that is fully imagined. And what the Internet brings is lots of vulgar data. It is the antithesis of the imagination. It leaves nothing to the imagination.

We will have to become 'perpetual marketers', to learn to be channel and data planners without losing our human insight or creativity; to vastly increase the level of accountability and provide more relevant experiences for customers.

Except in expert hands, stats can get in the way of story; an array of data that might better be presented in a table instead clogs up sentences.

The e-mails are mainly about a controversy over a particular data set and the ways a particular small group of scientists have displayed that dataset.

Language fails not because thought fails, but because no verbal symbols can do justice to the fullness and richness of thought. Ifwe are to continue talking about "data" in any other sense than as reflective distinctions, the original datum is always such a qualitative whole.

If all meanings could be adequately expressed by words, the arts of painting and music would not exist.

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.

For all the claims one hears about the liberating impact of the data-net, the truth is that it's wished on most of us a brand-new reason for paranoia.

The modern age has a false sense of superiority, because of the great mass of data at its disposal. But the valid criterion of distinction is rather the extent to which man knows how to form and master the material at his command.

We can say, "if you want government money, you have to make this data public - you have to share it."