Most scientific disciplines are facing the same problem: evidence is no longer scarce, but overwhelming. Climate models, epidemiology, financial risk, and machine-learning systems all generate continuous streams of data. Yet human decision-making still relies on frameworks developed for a slower, more predictable world. In this environment, classical statistics often struggles. It treats data as if … Continue reading The World as Probability: Why Bayesian Thinking Matters More Than Ever in Science