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by thaumasiotes
3338 days ago
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> In fact, there's no real difference between the requirement to experimentally validate results and the requirement to have a hypothesis 'work' on both halves of a partitioned dataset. This would be correct in the absence of investigator malfeasance. Unfortunately, investigator malfeasance is the problem we're trying to solve, so assuming it away is unwise. The requirement to collect new data imposes pretty strict limits on how many hypotheses you can test. The requirement to find a hypothesis along with a division of your existing data set such that the hypothesis holds in both halves is much more generous; it can be automated just as easily as finding a hypothesis that works in the unified data set can. |
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