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leisure
Hosted by Unknown Host · leisure · EN-US · 108 episodes
A one-game-at-a-time deep dive podcast where we treat videogames like texts worth reading closely. Each episode, we pick a game, spoil its story, and dig into it the way you would with a book club—except we’re usually reading an academic book alongside it and using it as a lens for discussion. Season 5 focuses on AAA games and what that label actually means in practice. Friendly to listeners who haven’t played the games, but unapologetically spoil-heavy and discussion-driven.
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Contact path
Verified email
Booking probability
50%
Guest openness
Selective
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Signup to Generate a PitchEmotive Pixels — Marginalia on Videogames is a leisure podcast hosted by Unknown Host, with 108 episodes on record and a Required Pod Score of 80.
Unknown Host hosts Emotive Pixels — Marginalia on Videogames, a leisure show with 108 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #10
We decide to start a series with its eighth entry, and find surprising life circumstance relevance. Nate gameworms David Chapman's "Zainichi Korean Identity and Ethnicity".
Episode #8
<p>We explore the empty procedural rhetoric of changing Eve's clothes, and probe if we have *feelings* about the matter. We also cover two books, Elise Hu's "Flawless" and "Practicing Feminism in South Korea: The women's movement against sexual violence" by Kyungja Jung.</p>
Episode #7
<p>We find more in common between two seemingly different tiers of 2024 games than we expected, generating questions about interactivity and polish.</p>
Emotive Pixels — Marginalia on Videogames
<p>We get to know our cohost Will with his life's companion piece.</p>
Episode #6
<p>We discuss the 2025 charmer that would go on to sweep the Keighleys, while slowly continuing to investigate and yet unravel our gaming personalities.</p>
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Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
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