Inner Sanctum - Old Time Radio – Details, episodes & analysis
Podcast details
Technical and general information from the podcast's RSS feed.
Inner Sanctum - Old Time Radio
theaterofthemind-otr.com
Arts
Tv & Film
Fiction
Frequency: 1 episode/1d. Total Eps: 151
All available episodes. Inner Sanctum was a hugely popular Old Time Radio series created by producer Himan Brown. It was based on the popular Inner Sanctum mystery series of books. It aired from January 7, 1941, to October 5, 1952. Inner Sanctum featured tales of mystery, horror and suspense, with a mix of humor. That humor was what made Inner Sanctum different from similar horror and mystery series like Suspense, or The Whistler aired during the golden age of radio. Each episode started with the sound of a creaking door, some creepy organ music, followed by the opening narration. It's been said that the listening to the show was like celebrating Halloween every week. Many established stars played roles or were guest stars in the series, including Peter Lorre, Helen Hayes, Mary Astor, Frank Sinatra, Bela Lugosi and Orson Welles. Of the several hundred episodes of Inner Sanctum that aired, only about 150 survived.
Site
RSS
Apple
Recent rankings
Latest chart positions across Apple Podcasts and Spotify rankings.
Apple Podcasts
🇨🇦 Canada - performingArts
02/08/2025
#76
🇨🇦 Canada - performingArts
28/05/2025
#79
🇨🇦 Canada - performingArts
27/05/2025
#51
🇨🇦 Canada - performingArts
14/04/2025
#88
🇨🇦 Canada - performingArts
13/04/2025
#59
🇬🇧 Great Britain - performingArts
09/04/2025
#60
🇨🇦 Canada - performingArts
15/03/2025
#83
🇨🇦 Canada - performingArts
14/03/2025
#60
🇬🇧 Great Britain - performingArts
23/02/2025
#81
🇬🇧 Great Britain - performingArts
19/02/2025
#96
Spotify
No recent rankings available
Shared links between episodes and podcasts
Links found in episode descriptions and other podcasts that share them.
Discover shows related to Inner Sanctum - Old Time Radio, based on actual content similarities. Explore podcasts with similar topics, themes, and formats, backed by real data.