So, anyway: does anyone know of anything approaching a comprehensive review of (a) what problems we're trying to solve (in this respect) and (b) what solutions have been proposed? Rather than piecemeal, domain-specific stuff?
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For 2) also that doesn't mean we're perfect. Nobody is perfect. But we're actually pretty good, we do replications (in all senses, including re-implementations) as a matter of course.
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This is not to pat us on the back too much, but if dirt is defined in the way social defines dirt, then we're on the right track already. We have — no surprises — OTHER issues.
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So, just out of politeness, at the very least the conversation should be “What’s SOP for your field, and why?” before bringing the Dyson to the front door
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I mean notice nobody talks about a file drawer or a publication bias for models... because it's a DIFFERENT kind of work.

*deep breaths*
End of conversation
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