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Keep in mind that there's a difference between a negative result and failure to find.

I don't know enough about your field to understand the results you're talking about, but in machine learning "failing to reject the null hypothesis" generally indicates failure to find, not a genuine negative result.

I find strong negative results to be compelling, but have little interest in wading through failure to find.

Aside: In NLP + ML, there was a now defunct publication called the Journal For Interesting Negative Results: http://jinr.org/




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