People will hear "compression" and reach for information theory. That is a different machine.
Shannon's 1948 paper in the Bell System Technical Journal opens with the job: reproduce at one point a message selected at another. Messages often have meaning. Then the cut: "These semantic aspects of communication are irrelevant to the engineering problem." A good Shannon compression is one you can invert. Unpack the code, get the bits back — or a specified approximation, in the later rate-distortion work.
Kolmogorov's 1965 note, "Three Approaches to the Quantitative Definition of Information" (Problems of Information Transmission 1:1), measures the information in one object as the length of the shortest program that prints it. Grünwald and Vitányi (arXiv cs/0410002) put the two side by side: Shannon entropy versus Kolmogorov complexity, rate-distortion versus Kolmogorov's structure function. The structure function's "meaningful information" is still the regular part of a string you can split from noise. Success is still: the short description regenerates the object.
The essay's paradox runs on the opposite test. "Survival of the fittest" is short. Unpacking it does not recover Darwin. It recovers strongest-wins. The portable phrase works as a substitute because it is not invertible to the mechanism. Shannon set meaning aside on purpose. Mapping the word "compression" onto Gentner's two operations is itself taking the surface of the word and dropping the working parts.