AABoyles's Shortform

Attention Conservation Warning: I envision a model which would demonstrate something obvious, and decide the world probably wouldn't benefit from its existence.

The standard publication bias is that we must be 95% certain a described phenomenon exists before a result is publishable (at which time it becomes sufficiently "confirmed" to treat the phenomenon as a factual claim). But the statistical confidence of a phenomenon conveys interesting and useful information regardless of what that confidence is.

Consider the space of all possible relationships: most o

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But what would the point be? No one will be convinced by such a thing.

It could suggest directions for further research. If it was useful for predicting replication, and there was money in that, it could be useful.

AABoyles's Shortform

by AABoyles 5th Dec 20194 comments

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