History That Doesn't Suck

Prof. Greg Jackson · Education

YAPP has Smart‑Skip data for 6 episodes of History That Doesn't Suck. Recent episodes average 9.7 minutes of ads per 70.9‑minute episode.

8.2ad minutes per hourof runtime
13.7%of runtimeis advertising
4.5ad breaksper episode, on average
6episodesmeasured by YAPP

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Recent episodes

Ad time detected in the 6 most recent episodes of History That Doesn't Suck that YAPP has processed.
Episode Published Length Ad time Breaks
212: The European Theater, 1943 1:07:10 3:03 3
15 (Second Edition): “We the People:” Constitution Making in Philly 1:19:50 12:41 4
211: Pacific Theater Epilogue with Capt. Mac Caldwell 1:07:04 11:07 5
210: The Pacific War 1944: From the Cairo Conference to the Marianas Turkey Shoot 1:10:49 10:20 4
209: The Pacific War 1943: Operation Cartwheel, Tarawa, & Eleanor Roosevelt's Pacific Tour 1:09:24 9:26 6
208: The Pacific War, 1942–43: Guadalcanal, the Aleutians, and Operation Vengeance 1:11:04 11:43 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 History That Doesn't Suck with YAPP

History That Doesn't Suck runs 4.5 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 9.7 minutes per episode, or 8.2 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 6 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 8% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.

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