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Why do smart people still fail to solve big problems? We have brilliant scientists, engineers, economists, policymakers and leaders — yet challenges such as poverty, housing shortages, traffic congestion, health inequalities and climate change persist. Perhaps the problem is not a lack of intelligence. Perhaps we are dealing with systems problems. In this episode, I explore why complex problems cannot always be understood — or solved — in isolation. From traffic and housing to health, migration and cities, we look at how relationships, feedback, patterns and unintended consequences shape the problems around us. The central argument is simple: the world’s biggest problems are rarely caused by one thing. They emerge from relationships between many things. If this conversation makes you see a familiar problem differently, I’d love to hear your thoughts. Please watch, subscribe and share the conversation. Concepts & visual references This episode draws on established ideas within systems thinking, including feedback loops, leverage points, unintended consequences and the Iceberg Model. The diagrams and illustrations used in the episode are visual interpretations designed to communicate these concepts in an accessible way. Acknowledgement My continuing engagement with systems thinking has also been enriched by scholarly conversations and exchange with Professor Roelien Goede. Further reading Donella H. Meadows — Thinking in Systems: A Primer Michael C. Jackson — Critical Systems Thinking and the Management of Complexity #SystemsThinking #Complexity #CriticalThinking #BigPicture #Leadership
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