Greatest Music of All Time Podcast
Tom CridlandStudies reveal that a person's taste in music is a good indicator of their personality.
| Publishes | Daily | Episodes | 400 | Founded | 9 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Society & Culture | |||
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Latest Episodes
Jeremy Parker has a discussion with Tom about the explosion in popularity of his "Radio Withdrawal" Instagram and TikTok accounts, where he shares his record collection and taste in music with his audience. Jeremy also reveals some of his favourite s... more
Pat Boone was one of the most successful pop singers of the 1950s and early 1960s, and is still recording and performing today. He has sold more than 45 million records, had 38 Top 40 hits, and appeared in more than 12 Hollywood films. Pat speaks to ... more
Carly Paoli tells Tom about her journey in the music industry as a leading classically trained singer, from her talent being spotted at school to performing with the likes of David Foster and Andrea Bocelli, and for the likes of Pope Francis and King... more
Rufus Rice is a comedian who has risen from obscurity over the last couple of years through his viral videos on TikTok and Instagram. Rufus tells Tom the story of his overriding ambition and intention to make music rather than jokes. more
Stacy Widelitz invites Tom to his Nashville home to discuss the global and enduring hit song, Shes Like the Wind, which he wrote for the blockbuster smash, Dirty Dancing. more
Simon Cundey hosts Tom at Henry Poole on Savile Row to discuss running one of the most distinguished and tailors in the world. Simon explains how they invented the tuxedo and discusses their relationship with royal customers. Simon also singles out h... more
Gary Osborne hosts Tom at this flat in Primrose Hill to discuss his songwriting partnership with Elton John. With the exception of Bernie Taupin, Gary has written more songs with Elton than any other lyricist. more
Tyler Lyle from The Midnight has a candid conversation with Tom. more
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| Listeners per Episode | Gender Skew | Engagement Score | |||
|---|---|---|---|---|---|
| Primary Location | Social Media Reach | ||||
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