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Data Scientists

Number sense, pattern recognition, and the rule behind the example.

Data science is one part arithmetic intuition · "is that order of magnitude even possible?" · and two parts rule-induction. The job is not memorising statistical formulas, it is being unsurprisable about which one fits a shape of data.

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Math drills the order-of-magnitude reflex that catches the off-by-1000 mistake before the regression does. Sequences trains rule-induction directly · given a few terms, what is the underlying generator. Matrix Reasoning is the abstract-pattern completion that scales the same rule-induction skill to multivariate cases.

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