Cymene and Dominic talk love and precarity and then (13:52) we are very fortunate to welcome Stanford historian of climate science extraordinaire, Paul N. Edwards to the podcast. We ask Paul how he might update his portrait of “climate knowledge infrastructure” were his landmark book, A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming (MIT Press, 2010), to be published today. Paul talks about how the Internet impacted public understanding of climate science and helped to make what was once a relatively quiet and settled area of science into a highly politicized field, at least in places like the U.S. We talk about the strategic production of ignorance (agnotology), how skeptics are wreathing themselves in the trappings of science and Paul briefs us on the Trump administration’s war on climate data and peer review. That gets us back into the history of climate science and how scientific consensus was produced around the relationship of atmospheric carbon dioxide to global warming. We discuss whether contemporary climate models are “kludgey,” the Holy Grail of cloud-resolving models, the art of hindcasting the 20th century and how we know the post 1970s temperature spike is anthropogenic. Paul gives his take on whether there is enough climate knowledge infrastructure out there globally to withstand a 4 or 8 year US withdrawal. We turn from there to the energy politics of building new data infrastructure and why Paul finds Bitcoin appalling. Finally, we close on Paul’s all-too-timely new project on the modeling of nuclear winter scenarios and their climatological impacts.
