Jul 1, 2026 · 1 hr 5 min · 10 segments
In this episode of *The Initiation*, I speak with Corey Bradshaw, ecologist, modeler, and global change scientist, about the uncomfortable realities of the ecological crisis — and what it means to…
Corey BradshawGuestSebastianHostBeautiful.
And so that experience of being in the bush, tracking things, did that remind you of your early childhood?
And instead of hunting them to kill them, I was hunting them to find out more about them.
So while the process is, you know, to work in the bush and to make a living out of it.
And, you know, that was another thing about the trapping aspect and the hunting.
And you can use a lot of the same principles to understand the natural or the life history of a species that you're studying.
So similar techniques, and it's hard work, and you know, it's shitty weather and, you know, lack of food and hard physical exertion and failure upon failure upon failure.
And eventually you get some data that you can use and, you know, you spilt blood and tears to get them.
And in a way that was kind of similar to the, you know, you go through, most hunts ended up in failure, of course, you know.
It's a long sort of even prehistoric fact that when you go hunting for something, you're not always successful.
And it's similar in the science game, I think, when you're studying ecological systems.
Now, you mentioned you're now a modeler, mathematician, and you use math to sort of predict ecosystems.
What does that actually mean for someone who is non-scientific?
Beautiful.
And so that experience of being in the bush, tracking things, did that remind you of your early childhood?
And instead of hunting them to kill them, I was hunting them to find out more about them.
So while the process is, you know, to work in the bush and to make a living out of it.
And, you know, that was another thing about the trapping aspect and the hunting.
And you can use a lot of the same principles to understand the natural or the life history of a species that you're studying.
So similar techniques, and it's hard work, and you know, it's shitty weather and, you know, lack of food and hard physical exertion and failure upon failure upon failure.
And eventually you get some data that you can use and, you know, you spilt blood and tears to get them.
And in a way that was kind of similar to the, you know, you go through, most hunts ended up in failure, of course, you know.
It's a long sort of even prehistoric fact that when you go hunting for something, you're not always successful.
And it's similar in the science game, I think, when you're studying ecological systems.
Now, you mentioned you're now a modeler, mathematician, and you use math to sort of predict ecosystems.
What does that actually mean for someone who is non-scientific?
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