99% Invisible
Roman Mars · Arts
YAPP has Smart‑Skip data for 15 episodes of 99% Invisible. Recent episodes average 4.5 minutes of ads per 42.3‑minute episode.
Listen to the good stuff in 99% Invisible
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Recent episodes
| Episode | Published | Length | Ad time | Breaks |
|---|---|---|---|---|
| 100 Objects #18: Hair Relaxer | 40:18 | 5:18 | 3 | |
| Doves Type | 42:45 | 5:22 | 3 | |
| 100 Objects #17: M43 Field Jacket | 46:39 | 5:21 | 4 | |
| Kobuk the Destroyer | 43:10 | 5:01 | 3 | |
| 100 Objects #16: Wheel of Fortune Dalmatian | 46:48 | 2:45 | 4 | |
| 1-800-PODCAST | 48:12 | 5:25 | 4 | |
| 100 Objects #15: Bundy Clock | 42:17 | 4:37 | 3 | |
| Spolia | 34:30 | 6:23 | 3 | |
| 100 Objects #14: Basketball Sleeve | 46:42 | 4:54 | 3 | |
| The Bone Wars | 49:29 | 4:49 | 3 | |
| 100 Objects #13: The Sand Letters | 48:38 | 1:11 | 1 | |
| Bamboo Is Innocent | 31:56 | 0:10 | 1 | |
| 100 Objects #12: "Negro Cloth" | 42:34 | 4:46 | 3 | |
| The Borrowed Nature of Biomimicry | 37:05 | 5:37 | 3 | |
| 100 Objects #11: Brannock Device | 33:07 | 5:48 | 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 99% Invisible with YAPP
99% Invisible typically runs 2.9 ad breaks per episode, usually a pre-roll and one or two mid-rolls. Across the episodes we have processed, that comes to about 4.5 minutes per episode, or 6.4 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 15 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 3% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.
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