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Seeing the Trouble Math Makes

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Math is at the center of data science — which isn’t surprising, given that math is at the center of many areas, including music, computer programming, and the universe. However, though math may be the keystone of many things, it isn’t the whole thing of anything.

In fairness to math, it’s prudent to point out that math isn’t a decision, either. The discipline known as decision analysis defines a decision as an irrevocable act — that means an investment of effort, time, or resources must be fully committed and deployed before it can be technically deemed a decision. Math doesn’t commit, let alone act. It calculates. As such, it delivers a calculation, not a decision. The decision, my friend, rests with you, the diviner of the calculation.

It’s worrisome news, I know. It is so much more convenient to praise or blame the math for data driven decisions and, in so doing, absolve ourselves of any responsibility or accountability. But no, at best math gives us limited cover for bad decisions. See? I told you math makes for trouble!

Decision Intelligence For Dummies

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