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The data cannot speak for itself. At best, its telling too many conflicting stories simultaneously. Your data needs you to gather the courage to speak for it.
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Let the data speak for themselves! Which has so dominated statistics in this century. The data cannot speak for themselves; And they never have, in any real problem of inference.
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Google finds this paper on pubmed, with this exact quote in title which attributes it to aristotle and newton: Letting the data speak for itself is a well known phrase with a hard truth: Data presented on its own rarely communicates meaning for itself. For most people, its the context behind the numbers, the story, that helps us understand and care to act. This article explores an historical example of one man's struggle to introduce a simple, lifesaving data insight that rocked the established beliefs of his profession.
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