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Right? You need to do small-scale pilot programs to see if the basic premises even make sense before you can do large-scale pilot programs that last for decades
by ncallaway 10y ago
Right? You need to do small-scale pilot programs to see if the basic premises even make sense before you can do large-scale pilot programs that last for decades or install a BI at the scale of a state government, or a small country.
The general critique seems to be: the only way to study BI at any level is to run experiments that last for a person's full lifetime. It seems insane to me that you wouldn't do small scale studies and pilot programs that gather data and build up to longer and longer studies.
When I'm designing a new system I don't say: the only way to validate that the concepts are correct are to write the production-grade code at all levels and see if it works. You find ways to validate key assumptions and build smaller scale proof-of-concept models to see if any of your theories are just totally broken.
- dragonwriter 10y ago> The general critique seems to be: the only way to study BI at any level is to run experiments that last for a person's full lifetime. No, the experiments don't need to run a persons lifetime, the benefit, however, needs to be believably of indefinite duration, because we already have both an understanding of the economic rationale and empirical studies showing that explicitly-limited-term benefits or costs induce notably different behavioral impacts than open-ended ones. Its the benefit, not the study of the effects of the benefit that needs to be open-ended.