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Philip D. Zelikow

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Data mining, like any other government data analysis, should occur where there is a focused and demonstrable need to know, balanced against the dangers to civil liberties. It should be purposeful and responsible.

 
Philip D. Zelikow

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We are thus led to a somewhat vague distinction between what we may call "hard" data and "soft" data. This distinction is a matter of degree, and must not be pressed; but if not taken too seriously it may help to make the situation clear. I mean by "hard" data those which resist the solvent influence of critical reflection, and by " soft " data those which, under the operation of this process, become to our minds more or less doubtful.

 
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Knowledge about limitations of your data collection process affects what inferences you can draw from the data.

 
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Cosmologists have plenty of ego — how can a person not be ego-driven when it's your job to deduce what brought the universe into existence? But without data, their explanations were just tall tales. In this modern era of cosmology, each new observation, each morsel of data wields a two-edged sword: it enables cosmology to thrive on the kind of foundation that so much of the rest of science enjoys, but it also constrains theories that people thought up when there wasn't enough data to say whether they were wrong or not. No science achieves maturity without it.

 
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A person not familiar with all of the special knowledge about a particular instrument should not try to draw too many conclusions from printed data. Such data typically contains certain assumptions about the equipment not necessarily known to outsiders.

 
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