Show HN: I replaced Markov Chains with Biomechanics to predict word transitions

To me, this only makes sense on a word level not sentence level. I can understand that words, especially those that are older, have evolved because of energy and comfort constraints of our physiology. But to extend this to sentence level is a rather big step. I would suppose it works for simple, short sentences that had to be efficient in the past. But imagine sentences about computer science where most words are rather new and have been chosen by arbitrary rules. To me it would be interesting to see, if this hypothesis holds when applied to longer and more complex sentences and "modern" words.

You forgot to upload a python script or results described in the readme. Without it this is only an idea draft, not a proof of anything