Quotes About Data

The companies that didn't suffer, including Netflix, knew how to design for reliability; they understood resilience, spreading data across zones, and a whole lot of reliability engineering.

Delete Never Means Delete in the Information Age.

If we have the data, let's look at the data. If all we have are opinions, let's just go with mine.

Whether it be placing advertisements, predicting customer behavior, anticipating equipment failure or even pricing products and services, the most useful people in your strategy team in the future might not be the MBA graduates, but those with the degrees in pure mathematics.

Getting information off the Internet is like taking a drink from a fire hydrant.

El populismo vive en un mundo de fe e instinto, no de datos y ciencia.

filantropía basada en datos concretos sobre impactos y resultados, y no en anécdotas, pasiones e intuiciones, para orientar las donaciones

Agendas are what get people, even historians, out of bed in the mornings, though one might hope that, once at the desk, they allow the data to challenge the hypotheses they have dreamed up overnight.

Vasic passed on this package of data," he said, his voice rough. "It apparently originated with Judd, but Vasic's added to it, as did Stefan.

Incidentally, an Excel cell can hold approximately 32,000 characters.

A characteristic of Maxwell's work, indeed his life, was that he seemed to take everything in his stride—he was never hurried. Somehow, he and Katherine managed to go riding in the park most afternoons and, of course, they went on accumulating data on color vision, asking all new houseguests to have a go. They had installed the latest big color box near the window in an upstairs

The whole point of building theoretical systems is to explain what humans know by pre-theoretical experience. That is the starting point for any philosophy. That is the data it seeks to explain. If it fails to explain the data of experience, then it has failed the test. It has been falsified.

some people have been attacking not just the message, but the messenger. Ever since scientists first began to explain the evidence that our climate was warming—and that human activities were probably to blame—people have been questioning the data, doubting the evidence, and attacking the scientists who collect and explain it. And no one has been more brutally—or more unfairly—attacked than Ben Santer.

The "real" agenda of environmentalists—and the scientists who provided the data on which they relied—was to destroy capitalism and replace it with some sort of worldwide utopian Socialism—or perhaps Communism. That echoed a common right-wing refrain in the early 1990s: that environmental regulation was the slippery slope to Socialism. In 1992, columnist George Will encapsulated this view, saying that environmentalism was a "green tree with red roots.

The more data we have, the more likely we are to drown in it.

We're not that much smarter than we used to be, even though we have much more information - and that means the real skill now is learning how to pick out the useful information from all this noise.

I was looking for something like baseball, where there's a lot of data and the competition was pretty low. That's when I discovered politics.

When human judgment and big data intersect there are some funny things that happen.

Internet of Things is a vision where every object in the world has the potential to connect to the Internet and provide their data so as to derive actionable insights on its own or through other connected objects

According to the detailed US census of 1860, which enumerated slaves and slaveholders in its "Agriculture" supplement, the 347,525 owners of one or more slaves constituted only 4.3 percent of the 8,039,000 "whites" in the fifteen slaveholding states (eleven of which would shortly secede) and 2.86 percent of the population of those states as a whole.

Until, years from now, when it will be noticed that the massive collection and speed-of-light retrieval of data have been of great value to large-scale organizations but have solved very little of importance to most people and have created at least as many problems for them as they may have solved.

the principal difficulty we have in solving problems stems from insufficient data—will go unexamined. Until, years from now, when it will be noticed that the massive collection and speed-of-light retrieval of data have been of great value to large-scale organizations but have solved very little of importance to most people and have created at least as many problems for them as they may have solved.

When there is too much information to sustain any theory, information becomes essentially meaningless.

In a sea of information, there was very little of it to use.