Back in Chapter 4, we learned that the goal of quantification is not to be perfectly right. It is to be less wrong. Everything you have learned since then gives you permission to iterate. You have modeled data, blended evidence, and turned a big, messy ball of uncertainty about the future into something tangible: numbers, ranges, and curves.

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Making Better Decisions with CRQ

  • Tony Martin-Vegue

摘要

Back in Chapter 4, we learned that the goal of quantification is not to be perfectly right. It is to be less wrong. Everything you have learned since then gives you permission to iterate. You have modeled data, blended evidence, and turned a big, messy ball of uncertainty about the future into something tangible: numbers, ranges, and curves.