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gwern | v0.0.9Nov 20th 2012 | (+68) /* See also */ +ln | ||
Vladimir_Nesov | v0.0.8Jan 8th 2012 | (+8/-16) /* Related concepts */ | ||
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Vladimir_Nesov | v0.0.5Feb 21st 2010 | (+28) /* Related concepts */ | ||
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Vladimir_Nesov | v0.0.2Jan 20th 2010 | (+20) /* Related concepts */ |
The rationale of the Reversal Test is simple: if a continuous parameter admits of a wide range of possible values, only a tiny subset of which can be local optima, then it is prima facie implausible that the actual value of that parameter should just happen to be at one of these rare local optima [...] the burden of proof shifts to those who maintain that some actual parameter is at such a local optimum: they need to provide some good reason for supposing that it is so.
Obviously, the Reversal Test does not show that preferring the status quo is always unjustified. In many cases, it is possible to meet the challenge posed by the Reversal Test
—The reversal test: eliminating status quo bias in applied ethics
Nick Bostrom, Toby Ord (2006). "The reversal test: eliminating status quo bias in applied ethics". Ethics (University of Chicago Press) 116 (4): 656-679. (PDF)
The reversal test is a technique for fighting status quo bias in judgments about the preferred value of a continuous parameter. If one deems the change of the parameter in one direction to be undesirable, the reversal test is to check that either the change of that parameter in the opposite direction (away from status quo) is deemed desirable, or that there are strong reasons to expect that the current value of the parameter is (at least locally) the optimal one.
Reversal test