Climate change modellers are focused very narrowly on set of climate variables. The most advanced climate models have literally millions of variables in it. We're not particularly sensitive to coefficient values because we're focusing on structure of the feedback, adapted feedback structure. But when you have a model which is driven in large part by exnras input, you needn't be very concerned about the coefficient. So it's just a totally different discipline. It's almost a comparing a microscope with a telescope. And i'm interested in it personally, because i always like to know what the weather's going to be like to day.
On this episode, we meet with Professor Emeritus of Systems Management and author, Dennis Meadows.
Meadows revisits Limits to Growth 50 years after it was published. Looking back, how does Meadows view the book? How much of the response to his description of overshoot was based in fear?
Meadows offers advice to current leaders based on the models he developed in Limits to Growth. Why is it important to develop success indicators, and how can they be clearly communicated to the public?
Further, Meadows explores the available leverage points to avoid the worst types of collapse at our current stage of crises.
About Dennis Meadows:
Dennis Meadows is the Emeritus Professor of Systems Management at MIT and the co-author of Limits to Growth and Beyond the Limits.
He has received numerous awards and is the recipient of four honorary doctorates for his contributions to environmental education. He co-authored the pioneering 1972 book The Limits to Growth, which analyzed the long-term consequences of unconstrained resource consumption driven by population and economic growth on a finite planet.
For Show Notes and Transcript visit: https://www.thegreatsimplification.com/episode/12-dennis-meadows