The principle that identity can be expressed on an infinite continuum of similarity degrees, rather than a binary same/different. It allows for infinite shades of sameness, often used in cluster analysis, machine learning embeddings, and any domain where classification uses continuous distance metrics.
Example: “Species classification uses the law of infinite identity: organisms aren’t simply same species or different; they share varying degrees of genetic and morphological overlap on a continuous scale.”
by Abzugal Nammugal Enkigal March 24, 2026
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