Pitchfork Economics with Nick Hanauer
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YAPP has Smart‑Skip data for 30 episodes of Pitchfork Economics with Nick Hanauer. Recent episodes average 0.5 minutes of ads per 42.9‑minute episode.
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Recent episodes
| Episode | Published | Length | Ad time | Breaks |
|---|---|---|---|---|
| The $29 Trillion Social Security Crisis We Already Know How to Fix ( with Rey Fuentes) | 33:38 | 0:05 | 1 | |
| Profit, Power, and the Crisis of the Common Good (with Sen. Chris Murphy) | 39:20 | 0:40 | 1 | |
| Chains of Command: How Franchising Turned Control Without Responsibility Into a Business Model (with Brian Callaci) | 42:35 | 0:57 | 1 | |
| The Joy of Money (with Carrie Joy Grimes) | 41:10 | 0:58 | 1 | |
| What Happened to Liberal Democracy (with Nobel Prize-winning economist Daron Acemoglu) | 45:21 | 1:02 | 2 | |
| What Happens When the Other Washington Stops Enforcing Antitrust? (with WA State Attorney General Nick Brown) | 39:46 | 1:18 | 2 | |
| The Good Life Economy (with Elizabeth Wilkins) | 41:42 | 0:25 | 1 | |
| Myths That Built Trickle-Down Economics: Productivity Doesn’t Trickle Down (with Preston Mui) | 37:08 | 0:25 | 1 | |
| Myths That Built Trickle-Down Economics: Austerity Politics (with Clara Mattei) | 48:38 | 0:16 | 1 | |
| Myths That Built Trickle-Down Economics: Zombie Economics (with Paul Krugman) | 44:35 | 0:20 | 1 | |
| Myths That Built Trickle-Down Economics: Shareholder Value (with William Lazonick and Lenore Palladino) | 47:53 | 0:10 | 1 | |
| Myths That Built Trickle-Down Economics: Regulations Kill Growth (with Robert Reich) | 39:16 | 0:16 | 1 | |
| AI Job Loss Is Real. The Catastrophe Is Optional (with Kathryn Edwards) | 38:30 | 0:44 | 2 | |
| The Policy Choices That Suppressed American Wages (with Josh Bivens and Larry Mishel) | 38:34 | 0:19 | 2 | |
| Market Humanism: A New Operating System for the Economy (with Nick Hanauer) | 56:18 | 0:16 | 1 | |
| What Comes After Neoliberalism? (with Nick Hanauer & Eric Beinhocker) | 31:49 | 0:39 | 2 | |
| The Worker Power Missing From the Abundance Debate (with Kate Andrias and Alexander Hertel-Fernandez) | 34:20 | 0:16 | 1 | |
| How the AI Oligarchy Went Hyperscale (with Tim Murphy) | 38:25 | 0:23 | 1 | |
| Why Philanthropy [STILL] Isn’t the Answer with (with Anand Giridharadas) | 48:51 | 0:34 | 2 | |
| Crypto, Cryptocurrency Scams, and the Illusion of Easy Money (with Ben McKenzie) | 33:14 | 0:23 | 1 | |
| From Safety Net to Power Base: Reclaiming Economic Power for Working People (with Jamie Keene) | 43:39 | 0:14 | 1 | |
| The Second Estate: Where Billionaires Don’t Pay. You Do. (with Ray Madoff) | 50:05 | 0:28 | 1 | |
| The Wage Standard: What’s Wrong in the Labor Market and How to Fix It (with Arin Dube) | 48:49 | 0:23 | 1 | |
| The Boomcession: Booming on Paper. Brutal in Real Life. (with Matt Stoller) | 45:07 | 0:23 | 2 | |
| The $79 Trillion Price of Inequality (with Carter Price) | 43:15 | 0:23 | 1 |
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 Pitchfork Economics with Nick Hanauer with YAPP
Pitchfork Economics with Nick Hanauer carries a light ad load — typically a single break per episode. Across the episodes we have processed, that comes to about 0.5 minutes per episode, or 0.7 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 30 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 12% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.
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