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by xadhominemx 408 days ago
It’s not because of analytical convenience, it’s because of the central limit theorem.
1 comments

Not everything is a linear combination of large number of (IID) samples, and thus not everything is gaussian distributed.
You’re implying that many things are though.
Yes, and I was explicit about it in another comment in this post.
Ok, so we all agree that in most cases the reason to minimize square error is that it’s the appropriate thing to minimize - not that it has an analytical solution, convenience or tradition.