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.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode