Escaping NXIVM
CBC · True Crime
YAPP has Smart‑Skip data for 12 episodes of Escaping NXIVM. Recent episodes average 1.7 minutes of ads per 37.1‑minute episode.
Listen to the good stuff in Escaping NXIVM
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Recent episodes
| Episode | Published | Length | Ad time | Breaks |
|---|---|---|---|---|
| Escaping NXIVM Introduces: The Mile Zero Murders from Uncover | 28:57 | 1:21 | 3 | |
| A Conversation With Sarah Edmondson & Anthony Ames About Escaping NXIVM & Mental Health: Sickboy Podcast | 14:30 | 1:13 | 2 | |
| The rise and fall of NXIVM's Keith Raniere | 22:43 | 1:35 | 2 | |
| Episode 1: The Branding | 36:51 | 1:43 | 3 | |
| Episode 2: The Epiphany | 54:27 | 1:37 | 3 | |
| Episode 3: Sex, Money and Nazis | 56:55 | 2:04 | 4 | |
| Episode 4: The Suppressives | 43:42 | 2:20 | 3 | |
| Episode 5: Blow it Up | 42:03 | 1:47 | 4 | |
| Episode 6: The Defence | 39:55 | 1:53 | 3 | |
| Episode 7: The Reckoning | 44:40 | 1:52 | 4 | |
| The Fright Experiments: Bonus | 22:04 | 1:25 | 3 | |
| Inside the Trial: Bonus | 38:32 | 1:33 | 3 |
Ad load varies by listener. Most podcast advertising is dynamically inserted, so figures reflect ad load as observed by YAPP's processing pipeline at the time each episode was fetched, not what any individual listener hears. Methodology
Listening to Escaping NXIVM with YAPP
Escaping NXIVM typically runs 3.1 ad breaks per episode, usually a pre-roll and one or two mid-rolls. Across the episodes we have processed, that comes to about 1.7 minutes per episode, or 2.7 minutes for every hour of listening.
YAPP maps each episode before you play it, so you get the show and not the rest of it. Because the ads are stitched in per listener, YAPP matches what you are actually hearing rather than replaying a fixed set of timestamps.
How these numbers are measured
YAPP transcribes each episode, classifies advertising segments, and refines their boundaries using audio fingerprinting. Figures cover the 12 episodes of this show that YAPP has processed. Because most podcast ads are dynamically inserted and vary by listener, these figures reflect what our pipeline observed rather than what every listener hears. Full methodology
Boundaries for 20% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.
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