A Quote by Hal Varian

We used to be calorie poor and now the problem is obesity. We used to be data poor, now the problem is data obesity. — © Hal Varian
We used to be calorie poor and now the problem is obesity. We used to be data poor, now the problem is data obesity.

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People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
Obesity is a drain on the economy - we have to pay for the health care of fat people who are usually poor and can’t afford insurance. Obesity is, well, bad.
Obesity now contributes to the death of more than 360,000 Americans a year. The incidence of childhood obesity is now at epidemic levels. Alarm bells are going off all over the place. But our government has done virtually nothing.
The problem now is (that) the foods of poor quality are the ones coming in from home from teachers and staff, used for birthday parties and for things like booster sales.
Obesity is now a problem in the navy. They've created a new rank: Really Big Rear Admiral.
I know the problem of obesity. I got to tell you, I think that's tepid. I just don't think the bully pulpit is going to be enough to sufficiently fight obesity. We're going to have to have incentives in here.
Facts and data, rather than opinion, are the two cornerstones of problem solving, and yet they are consistently withheld from the people by American media. We must have facts and data in order to recognize where there is a problem!
People believe the best way to learn from the data is to have a hypothesis and then go check it, but the data is so complex that someone who is working with a data set will not know the most significant things to ask. That's a huge problem.
Any time scientists disagree, it's because we have insufficient data. Then we can agree on what kind of data to get; we get the data; and the data solves the problem. Either I'm right, or you're right, or we're both wrong. And we move on. That kind of conflict resolution does not exist in politics or religion.
TIA was being used by real users, working on real data - foreign data. Data where privacy is not an issue.
In the 10 cities with the nation's highest obesity rates, the direct costs connected with obesity and obesity-related diseases are roughly $50 million per 100,000 residents. And if these 10 cities just cut their obesity rates down to the national average, all added up they combine to save nearly $500 million in healthcare costs each year.
What is clear is that users own their data and should have control of how their data is used.
People used to pooh-pooh the idea of a check-in, saying that this wasn't interesting. But when you have 3 billion of those data points, you can take any latitude and longitude anywhere in the world, and I'll tell you what is interesting now, 20 minutes from now, and 6 hours from now.
The data set of proxies of past climate used in Mann...for the estimation of temperature from 1400 to 1980 contains collation errors, unjustifiable truncation or extrapolation of source data, obsolete data, geographical location errors, incorrect calculation of principal components and other quality control defects.
People love information. Right now in our society, we have an obesity epidemic. Because for the first time in history, we have access to food whenever we want, we don't know how to control ourselves. I think we have the exact same problem with information.
Dog obesity is a big problem in this country.
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