Signal diversity

Signal diversity is the heterogeneity of information sources within a network epistemic system. It is the structural condition that prevents informational collapse by ensuring that no single node or perspective dominates the validation landscape. A network with high signal diversity can detect anomalies that homogeneous networks miss — but diversity without some mechanism of integration produces noise, not knowledge. The tragedy of modern algorithmic curation is that it optimizes for engagement, which correlates with homogeneity, thereby systematically eroding the very signal diversity that makes networks intelligent.