Sword and Scale

Sword and Scale · Society & Culture

YAPP has Smart‑Skip data for 13 episodes of Sword and Scale. Recent episodes average 6.9 minutes of ads per 77.4‑minute episode.

5.3ad minutes per hourof runtime
8.9%of runtimeis advertising
5.4ad breaksper episode, on average
13episodesmeasured by YAPP

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Recent episodes

Ad time detected in the 13 most recent episodes of Sword and Scale that YAPP has processed.
Episode Published Length Ad time Breaks
Episode 368 1:01:26 2:06 5
Episode 366 1:13:12 3:06 3
Episode 364 1:16:51 2:35 5
Episode 363 1:26:13 9:04 5
Episode 362 1:09:41 1:25 1
Episode 358 1:22:44 13:26 7
Episode 357 1:20:58 11:15 6
Episode 356 1:19:10 9:34 6
Episode 355 1:05:13 6:58 6
Episode 354 1:19:37 5:46 8
Episode 352 1:21:52 7:46 7
Episode 350 1:30:23 8:50 6
Episode 348 1:19:30 7:30 5

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 Sword and Scale with YAPP

Sword and Scale runs 5.4 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 6.9 minutes per episode, or 5.3 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 13 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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