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Jevons’ Paradox, as it’s now known, is an example of a “rebound effect”, where the expected gains from efficiency are offset by changes in behavior. In the original case, as coal engines got more efficient, it got cheaper to generate each watt, which in turn stimulated a ton more generation. (View Highlight)

But the demand for data work isn’t fixed; there’s not some finite number of stakeholder questions, or decisions that could informed with data. In fact, we’re deeply supply constrained (View Highlight)