I wonder, when sampling to shrink the set of bad titles, it samples uniformly. But wouldn't it be better to take the n worst titles (with the least upvotes)? Af

I wonder, when sampling to shrink the set of bad titles, it samples uniformly. But wouldn't it be better to take the n worst titles (with the least upvotes)? After all, titles near the good/bad threshold are a bit arbitrary and should be hard for the model to get right, would increasing the contrast make it perform better? Or does that limit the model's exposure too much that it ends up harming more than it helps?