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In this article, after explaining Zadeh's computing with words (CWW) paradigm, I argue that for this paradigm to be embraced, it must be validated using a Turinglike test, use a scientifically correct fuzzy set model for words, namely interval type-2 fuzzy sets (IT2 FSs), and be simple, meaning that fuzzy set operations should be as simple as possible. These conclusions are drawn using the ideas of Turing, Popper and Occam. Short descriptions are provided for a Perceptual Computer (Per-C), which is an architecture for CWW for making subjective judgments, IT2 FSs, IT2 FS models for words, and why an IT2 FS model captures first-order uncertainties about a word. Short biographies of Zadeh, Turing, Popper and Occam are also provided.