Podcast HackFinding Lost PeopleBy Unexplainable, Mandy Nguyen, Robert Koester, Paul Doherty
In a Nutshell
This August 2024 episode of the Unexplainable podcast explores how data shapes search and rescue techniques, with a focus on the methods used at Yosemite National Park.
Favorite Quote
This whole problem of search and rescue seems like it should have been solved already. We have phones, GPS, and so many ways to keep track of each other. But it's a lot easier than you'd think it is to get lost, and a lot harder than you'd think it is to be found.
Mandy Nguyen
Introduction
When Paul Doherty became a park ranger in Yosemite National Park, he didn't realize how much time he would spend looking for lost hikers.
Figuring out how lost people behave and deciding where best to search for them is complex, but looking at data from past cases can help.
The Unexplainable podcast is a science show that explores the many things we don't know.
This August 2024 episode, hosted by Mandy Nguyen, details the challenges of searching for lost people and introduces Robert J. Koester, who compiled the Lost Person Behavior database — an invaluable resource for search and rescue teams.
Nguyen also speaks to Doherty about developing techniques for specific landscapes and how different people behave when lost.
Here are the 3 key insights from this Hack
- 1.Search and rescue relies on past data to help narrow down a search area
- 2.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc volutpat, leo ut.
- 3.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc volutpat, leo ut.
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