This book explains why events in the world cannot always be understood as the result of separate things influencing one another locally.

Starting from a well-established result in modern physics, it shows that some correlations observed in nature cannot be explained by assuming that each object carries its own independent properties and that all influence spreads step by step through space.

The book examines the theorem that establishes this limit and the experiments that confirm it. These results demonstrate that the classical picture of reality—as a collection of autonomous objects connected only by local causes—is untenable. What fails is not a specific theory, but a mode of explanation that treats systems as decomposable into independent parts.

From this point, the analysis turns to the consequences. It shows how causality, identity, and explanation must be reformulated once local independence is abandoned. Physical laws no longer describe how parts produce effects one after another, but impose global constraints on what can consistently occur.

The discussion then extends beyond physics to information, computation, and artificial intelligence. Systems that require stable coherence cannot be fully understood through purely local, bottom-up models. Components derive their roles from the structures they belong to, rather than the other way around.

This book does not propose new physics and does not rely on speculation. It draws conclusions directly from established results and asks what kind of world must exist if those results are taken seriously.