Data Quotes
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Even the best data security systems can't protect private taxpayer information from entrepreneurial foreign businesses than can make huge profits selling U.S. taxpayer information.
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We need a data network that can easily carry voice, instead of what we have today, a voice network struggling to carry data.
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My answer to someone who is in contrast with me - by not seeing God in the scientific data - is that you don't see God in the scientific data because you're not me. I have other experiences than you have, that bring me to look at this data as enriching my experience of God.
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Data is not intelligence.
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Don't measure anything unless the data helps you make a better decision or change your actions. If you're not prepared to change your diet or your workouts, don't get on the scale.
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When you read findings like the one above, and see that Jamal doesn’t get the job, it’s easy to shake your head at the few racist hiring managers who’ve tilted the odds against him. But the data we see in this chapter shows racism isn’t a problem of outliers. It is pervasive.
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In the future, I think movies are going to be more of data sets that viewers have a hand in controlling - where the narrative originates and what happens to the content.
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There is no data that can be displayed in a pie chart, that cannot be displayed BETTER in some other type of chart.
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One of the best things data can enable us to do is to ask questions we didn't know to ask.
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We discovered that there are actually fewer companies actually buying data.
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It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.
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We have so much data on the web, almost all of it available for free, that we dive into the the data ocean hoping that magically awesome things will follow. They never do.
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In God we trust, everybody else bring data to the table.
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Data is not useful until it becomes information.
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This is where the world is going: direct access from anywhere to any type of data, whether it's a small piece of data or a small answer but a long algorithm to create that answer. The user doesn't care about this.
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The public trusts big data way too much.
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We cannot be guided by wishful thinking. We need objective data.
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We lisp in numbers, in the U.S. We are deluged by ample, often mysterious statistics. ... Like many in this country, I have come to regard statistics with doubt and merely as a hint of the probable shape of fact.
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Data is what distinguishes the dilettante from the artist
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But it's not the pressure of data that gives rise to the understanding. It's, on the contrary, the child's own struggle to make sense of the data.
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The best decision-makers are always armed with the best information and data!
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If someone does a study which, for statistical reasons, I think is hopelessly underpowered or nonidentified, my best and most useful advice will not be tips on how to calculate p-values better, or how to construct an explanation for some particular data pattern. Rather, my advice will be to start over, to reconsider what you think you already know, maybe to question some prominent work in your subfield, and quite possibly to think a lot harder about measurement, and about the relation of your data to your underlying constructs of interest.
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If I see something that seems out of sync with what's already known, the first thing I do is try to find out what's wrong with the data. Once you've done that, and it still seems wrong, that's when things get interesting. It means you've found something new to understand.
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I think big data companies only like good news. So I think they're just hoping that they don't get sued, essentially.
