My contribution: largest-order-first (big endian) makes sense in real life because people tend to make quick judgements in unreliable situations. For example, take the announcement that you're receiving $132551 dollars. You wouldn't want to hear something like "Hello! You have been awarded one and fifty and five hundred and... and one hundred thousand dollars!", you want to hear "You have been awarded One hundred and thirty two thousand and ... dollars!" The largest sums change decisions dramatically so it makes sense they come first.
On computers however, we basically always use exact arithmetic and exact, fixed logic where learning the higher order doesn't help (we're not doing approximations and decisions based on incomplete information), in fact for mathematical reasons in the exact cases it's usually better to compute and utilize the lowest bits first (e.g. in the case of sums and multiplication algos I am familiar with). [note1]
Overall I'm slightly surprised some automatic/universal translation methods for the most common languages haven't been made, although I guess there may be some significant difficulties or impossibilities (for example, if you send a bunch of bits/bytes outside, there's no general way to predict the endianess it should be in). I suspect LLMs will make this task much easier (without a more traditional universal translation algorithm).
[note1] Also, the time required to receive all bits from say a 64b number as opposed to the first k bits tends to be a negligible or even 0 difference, in both human terms (receiving data over a network) and machine terms (receiving data over a bus; optimizing an algorithm that uses numbers in complicated ways; etc.), again different from human communication and thought.