Analyzing big data sets holds the promise of big insights. But the axiom “garbage in, garbage out” is particularly apt, since conclusions can be only as good as the raw data itself.
There are limits to what tests can predict.
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Even if we could develop a test or a screening process to find a pilot who would intentionally crash a plane, and that system was very, very good, virtually all positives would be false positives.
Frank and open discussions.
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