{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Puzzle, Problem, Mess","title":"When Solving The Problem Isn't The Problem - with David Olney","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/ab764bcd\"></iframe>","width":"100%","height":180,"duration":2092,"description":"This episode is with David Olney. David is an Australian, based in Adelaide, whose career has spanned university teaching, security analysis, professional training and strategic communication. For nearly 20 years, he lectured at the University of Adelaide, teaching subjects including Applied Thinking, Complex Problem Solving, International Security and the Politics of Leadership. He's also trained people across Defence, government and private organisations, including the Australian Bureau of Statistics and the Department of Defence.\nIn the conversation that follows, David explains, with great clarity, the difference between complicated and complex challenges — and the barriers that make adaptation so difficult, for your company AND you.\nWe cover: \nUnderstanding complexity — and why organisations resist it\nThe distinction between complicated and complex problems: predictable interactions versus systems that evolve through human behaviour, time and feedback.\nWhy organisations prefer to treat complex challenges as complicated ones — the psychological comfort of predictability, control and familiar expertise.\nCatastrophic failures, near misses and unexpected shocks as catalysts for recognising complexity.\nThe particular challenge for established media businesses: adapting before a crisis forces change.\nStreaming and AI as examples of disruption confronting organisations with the limitations of their existing models and capabilities.\nRussell Ackoff's puzzles, problems and messes\nWhy solving individual problems in isolation can intensify the wider mess.\nSystems thinking, interconnected variables and the unintended consequences of interventions.\nThe Yellowstone National Park example: wolves, beavers, waterways and forests as an illustration of system-wide interdependence.\nThe importance of understanding feedback loops and second-order effects before intervening.\nUsing artificial boundaries and necessary simplifications to make otherwise overwhelming complexity...","thumbnail_url":"https://img.transistorcdn.com/slfZiaqPWFcJ64dYbIgCIjgQDf1vmjzmcY37afDdZCU/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kZTcw/OTU2NmU2NDVjNDc0/NTMzYTE2MDY3NjNk/YTQyYy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}