Stephen Wolfram has spent thirty years arguing that the universe is governed not by equations but by computation—simple rules applied repeatedly to simple units, with complexity emerging from the relentless iteration of algorithms so basic they could run on a primitive computer.
No God needed. No dice needed.
The framework was elegant and promised to bridge physics, biology, and information theory. But then sequencing arrived. Genomicists reading DNA in detail found networks far messier than Kauffman's models predicted—the self-organizing criticality he described didn't match what genes actually did.
The framework didn't fail because it was wrong—it failed because it made no testable predictions that distinguished it from simpler explanations. It couldn't tell you what you'd find if you looked, and without that, it was philosophy wearing a lab coat. Wolfram's computational universe has the same structure. It consists of a beautiful framework and zero falsifiable predictions.
No mechanism lets you say "if this were true, we'd see this specific thing. If we don't, the theory breaks." This pattern likely shows up in your own work—you find a framework that explains everything and is intellectually satisfying. It doesn't constrain your thinking. The framework that actually changes how you work is the one that says "if this, then specifically that. Nothing else will do."
It has to cost you something to be wrong. Without that cost, you're reorganizing your ignorance, not reducing it.