Two Hot Takes
Morgan Absher · Society & Culture
YAPP has Smart‑Skip data for 10 episodes of Two Hot Takes. Recent episodes average 7.1 minutes of ads per 119.6‑minute episode.
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Recent episodes
| Episode | Published | Length | Ad time | Breaks |
|---|---|---|---|---|
| 288: Fake or Nah?! Ft. Lisa Gilroy | 1:38:22 | 7:08 | 7 | |
| 287: Nail Biting Updates Ft. Taylor Tomlinson | 1:38:00 | 7:38 | 5 | |
| 286: Confessions.. 2.0! | 2:05:01 | 9:10 | 8 | |
| 285: Jump Scare! | 1:56:52 | 7:23 | 6 | |
| 284: Serving Justice ft. Monet X Change | 1:45:04 | 6:57 | 7 | |
| 283: Updates on Updates! | 3:07:31 | 3:42 | 4 | |
| 282: 1st Day on Earth! Ft. Direct_Caterpillar77 | 2:18:05 | 7:10 | 7 | |
| 281: Irreversible Icks.. Ft. Ashby | 1:54:42 | 6:21 | 6 | |
| 280: Absurd Chaos Ft. MacDoesIt | 1:53:40 | 8:12 | 7 | |
| 279: Misleading Titles.. | 1:38:36 | 7:47 | 6 |
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 Two Hot Takes with YAPP
Two Hot Takes runs 6.3 ad breaks in a typical episode — among the more heavily advertised shows we measure. Across the episodes we have processed, that comes to about 7.1 minutes per episode, or 3.6 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 10 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 21% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.
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