All the empirical examples you mentioned pertain to the extracellullar space. So is this stochastic modelling also true in the intracellular space, which is like 100x times denser structurally, biochemically and bioelectrically (given that all biochemistry is effectively a type of electrical process involving very refined transfer/manipulations of charge densities), and allows to explain how do hundreds or thousands of biochemical reaction inside cells happen as required without interfering with each other?

Evolution also "tries" to save energy anywhere possible, so spending energy on the synthesis of endogenous ligands, which eventually will be discarded, seems a bit redundant. There is also a theorem in evolutionary game theory, that probability that natural selection will allow an organism to see reality as it is (=the truth) is exactly zero, as it's enough to make it just "good enough". I was arguing about that with Gemini, and it agreed with me. My point is that "evolution" is just a tool (like ChatGPT) with it's own instrumentally limited pool of empirical data (80% of which was also obtained from macroscopic enough observations rather than reverse engineering or experimentation) to build upon.

I actually want to apply one EE concept, which has some experimental basis. The reason why I am digging this, is that I am searching for some possible explanations of a couple of dozens of experimental studies in bioelectrics/magnetics I found. (though won't discuss in depth on a public forum)