“Probability and statistics are now so obviously necessary tools for understanding many diverse things that we must not ignore them even for the average student.”

Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)

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Richard Hamming 90
American mathematician and information theorist 1915–1998

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Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)

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“The philosophy of the foundations of probability must be divorced from mathematics and statistics, exactly as the discussion of our intuitive space concept is now divorced from geometry.”

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“To achieve perfection, one must first begin by not understanding many things! And if we understand too quickly, we may not understand well.”

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Context: Nor is there any embarrassment in the fact that we're ridiculous, isn't it true? For it's actually so, we are ridiculous, light-minded, with bad habits, we're bored, we don't know how to look, how to understand, we're all like that, all, you, and I, and they! Now, you're not offended when I tell you to your face that you're ridiculous? And if so, aren't you material? You know, in my opinion it's sometimes even good to be ridiculous, if not better: we can the sooner forgive each other, the sooner humble ourselves; we can't understand everything at once, we cant start right out with perfection! To achieve perfection, one must first begin by not understanding many things! And if we understand too quickly, we may not understand well. This I tell you, you, who have already been able to understand... and not understand … so much. I'm not afraid for you now;

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“[Computers] are developing so rapidly that even computer scientists cannot keep up with them. It must be bewildering to most mathematicians and engineers… In spite of the diversity of the applications, the methods of attacking the difficult problems with computers show a great unity, and the name of Computer Sciences is being attached to the discipline as it emerges. It must be understood, however, that this is still a young field whose structure is still nebulous. The student will find a great many more problems than answers.”

George Forsythe (1917–1972) Stanford University computer scientist

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