Podcast charts
Published by Colin Raymond
A podcast about the Big Philosophical Questions raised by climate science, featuring in-depth conversations with climate scientists. We traverse the personal-professional interface to explore how scientists personally see the state of the field and the value of their work, and reckon with what it all means — from the long-term global level to individual decision-making.
On the charts
Every published chart this podcast appears in, in the snapshot behind this page. Each one links to the chart it came off.
From the feed
The latest episodes published to this podcast’s own RSS feed. Titles and descriptions are the publisher’s.
In this episode, Peter and I discuss, among other things: bringing emotion into science and science communication; the ethics of environmental solutions; climate science in the sweep of history; and his track record of activism and civil disobedience.
In this episode, Nicola and I discuss, among other things: finding meaning in a flood of data; alternative visions for research proposals; the value of personal connections; and how we’re all products of our time.
In this episode, Corey and I discuss, among other things: the status and future of international science; a Canadian perspective on environmental challenges; the skewing effects of top-tier journals; and how to value different types of contributions.
In this episode, Jonathan and I discuss, among other things: international mobility of people, data, and ideas; AI-driven advances; the intimate relationship between basic and applied science; and practical ways of making change.
In this episode, Zack and I discuss, among other things: crossovers between weather and climate mindsets; balancing data transparency and potential misinterpretation; making sense of the flood of scientific output; and the continuing suitability of ‘climate normals’.
In this episode, Lisa and I discuss, among other things: the complexities of climate-related migration; effective science communication and partnerships; the ultimate purpose of impact and attribution studies; and how to consider climate impacts in a potentially nonlinear future.
In this episode, Tom and I discuss, among other things: studying climate impacts in a complex world; evaluating existential threats; science as a sociocultural pursuit; and the ethical implications of being able to predict the future.
In this episode, Roop and I discuss, among other things: the Red Cross Red Crescent’s work on the front lines of climate risk; reckoning with unprecedented events in cultural-historical context; integrating science, communication, and decision-making; and principles for devising ethical solutions in a complex world.
In this episode, Peter and I discuss, among other things: thinking beyond 2100; climate-impacts science for island nations; the instinctive appeal of science and the importance of scientific literacy; and how AI may reshape climate research and communication.
In this episode, Arianna and I discuss, among other things: communicating climate variability and change; the merits of highly targeted climate risk information; balancing research and activism; and the moral obligations imposed by inequities in data access.
In this episode, Marleen and I discuss, among other things: the interface between science and activism; perceptions of risk in the Netherlands versus North America; travel and its value; and what ChatGPT might mean for science education and careers.
In this episode, Radley and I discuss, among other things: the value of placing climate information in local cultural context; the interplay between short- and long-term-focused mitigation/adaptation efforts; finding personally meaningful motivations for environmentally friendly actions; and some of the ethical and social considerations around flying and eating meat.
Ranking source
Apple Podcasts rankings via the Mato Topic Intelligence Platform.
Observed September 20, 2026.
Apple and Apple Podcasts are trademarks of Apple Inc., registered in the U.S. and other countries.
Pairs with
Bring this source into Mato to read its transferable patterns, then turn them into an original show for your own audience.