Heavyweight
Pushkin Industries · Society & Culture
YAPP has Smart‑Skip data for 12 episodes of Heavyweight. Recent episodes average 9 minutes of ads per 50.4‑minute episode.
Listen to the good stuff in Heavyweight
YAPP maps every episode before you press play, so you land on the parts you came for. Listen to the good stuff, skip the rest. 10 free listens, then a 60-day trial.
Recent episodes
| Episode | Published | Length | Ad time | Breaks |
|---|---|---|---|---|
| #68 Songe | 49:34 | 10:16 | 5 | |
| #67 Jenna | 48:34 | 11:01 | 5 | |
| 2026 Update: James | 45:56 | 6:35 | 5 | |
| Jonathan Vs. Kalila on Smash Boom Best | 44:57 | 9:08 | 6 | |
| 2026 Update: Julia | 45:30 | 10:23 | 3 | |
| 2026 Update: Brandon | 48:45 | 9:05 | 5 | |
| 2026 Update: Frederick J. Brown | 42:20 | 5:53 | 4 | |
| 2026 Update: Christina | 56:55 | 9:34 | 5 | |
| 2026 Update: Skye | 1:01:07 | 10:44 | 6 | |
| Jonathan Goldstein on Wild Card | 52:59 | 9:39 | 5 | |
| 2026 Update: Elyse | 57:02 | 10:38 | 4 | |
| 2026 Update: Tony | 50:51 | 5:18 | 4 |
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 Heavyweight with YAPP
Heavyweight runs 4.8 ad breaks in a typical episode, so there is a fair amount between you and what you came for. Across the episodes we have processed, that comes to about 9 minutes per episode, or 10.7 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 5% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.
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