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So, couldn't it be that the authors of the paper ran the model with a random tie break and got lucky? This blog post seems to assume they had the "rand" flag deactivated. Please correct me if I am wrong.



From what I understand in the post getting lucky enough to see that big of a change in this situation would be like getting 1000 head flips in a row. It’s not luck you could expect to ever get.


I see


The code of the paper is all on Github so you can verify that line of thinking if you want to.




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