Why Systems Stop Seeing Problems as They Grow скачать в хорошем качестве

Why Systems Stop Seeing Problems as They Grow

As systems expand, information must travel through more layers, filters, and abstractions. Local realities are translated into summaries, metrics, and reports designed to scale across the organization. But each layer compresses signals. Context is lost, anomalies are averaged out, and feedback becomes delayed. Over time, decision-makers rely on representations of reality rather than direct visibility into it. This video explains how growth can structurally reduce problem visibility, making large systems appear unaware of issues that remain clearly visible at the local level. #systemsthinking #complexsystems #organizationalsystems #informationloss #scaling #systemdesign #feedbackloops