The Fandom Portals Podcast
Fandom Portals is a film analysis podcast that proves your favourite movies have something to teach you.
Each episode explores the deeper meaning behind popular films and what they reveal about identity, growth, and human connection.
Podcasting since 2024 • 74 episodes
The Fandom Portals Podcast
Latest Episodes
Muppet Treasure Island (1996) Does Tim Curry's Long John Silver Hold Up 30 Years Later? | Worth Your Time?
Aaron celebrates the enduring adventure, humour, and heart of Muppet Treasure Island, exploring why this beloved pirate tale still resonates with audiences in 2026. We discuss how the film blends musical comedy with cla...
•
17:38
How to Train Your Dragon (2025) What if Empathy was Stronger than Aggression? | Film Deep Dive
Aaron and Brash explore the themes of purpose, belonging, and leadership in the live-action remake of 'How to Train Your Dragon.' They discuss character development, nostalgia for the original animated film, and the import...
•
47:34
Why the Scream Franchise Still Works | Meta Horror, Culture, and Ghostface Explained ft. Ben Wright
How did Scream manage to mock horror and reinvent it at the same time?In this deep dive, we break down the entire Scream franchise and explore why Ghostface remains one of the most culturally relevant horror icons. From Wes Craven’s ori...
•
54:04
Code 3 (2025) Why Burnout Breaks Good People | Film Deep Dive
Aaron and Brash delve into the film Code 3, exploring its themes of burnout, passion, and the systemic issues faced by EMS workers. They discuss the characters, particularly Randy and Jessica, and how their experiences reflect the challenges of...
•
44:04
K-Pop Demon Hunters (2025) The Courage To Be Real and The Impact of Shame on Identity | Film Deep Dive
What would actually change in your life if you believed you were allowed to be loved for who you are and not for who you are pretending to be?Aaron and Brash unpack the hidden emotional power of K Pop Demon Hunters, a film ...
•
35:11
Podcasts we love
Check out these other fine podcasts recommended by us, not an algorithm.