Radiolab Greatest Hits, Vol. 1
- Author Lulu Miller, Latif Nasser
- Narrator Lulu Miller, Latif Nasser
- Publish Date 3 December 2024
- Run Time 3 hours and 1 minute
- Format Audio
- Genre Computing and Information Technology, Science: general issues, Social media / social networking, Technology: general issues.
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What to expect
Radiolab is one of the most popular and longest-running shows produced by WNYC, with over 2 million weekly listeners across public radio and podcasting.
Radiolab is on a curiosity bender. We ask deep questions and use investigative journalism to get the answers. A given episode might whirl you through science, legal history, and into the home of someone halfway across the world. The show is known for innovative sound design, smashing information into music. It is hosted by Lulu Miller and Latif Nasser.
VOLUME 1: MEMORY
“A 4-Track Mind” - A neurologist issues a dare to a ragtime piano player and a famous conductor. When the two men face off in an fMRI machine, the challenge is so difficult that one man instantly gives up. But the other achieves a musical feat that ought to be impossible.
“Memory and Forgetting” - Remembering is an unstable and profoundly unreliable process. Oliver Sacks joins us to tell the story of an amnesiac whose love for his wife and music transcend his seven-second memory.
“Finding Emilie” - Susan Gossiaux describes her daughter Emilie and the terrible phone call she received from Emilie’s boyfriend, Alan Lundgard. Susan and Alan tell about the devastating fork in the road that left Emilie lost in a netherworld, and how Alan found her again.
“Right to Be Forgotten” - In online news, stories live forever. The tipsy photograph of you at the college football game? It’s there. A charge for driving under the influence? That’s there, too. But what if … it wasn’t?
“Vanishing Words” - Agatha Christie’s clever detective novels may reveal more about the inner workings of the human mind than she intended. In this podcast, we look at what scientists uncover when they treat words like data.
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