Episode 486: Slavery and Capitalism

In this episode, we discuss public distrust of politicians and the realities behind presidential approval polling before turning to the math of lotteries and why people continue to play despite the odds. We examine Maryland’s proposed reparations commission, including questions of eligibility, funding, legal responsibility, and the practical challenges of tying modern policy to historical injustice. We’re joined by Phil Magness to explore the economic history of slavery, the claim that capitalism was built on slave labor, and why slavery is fundamentally incompatible with free markets. We cover Adam Smith’s opposition to slavery, misconceptions about profit incentives, the global history of forced labor, and the moral and economic failures surrounding emancipation, closing with a broader discussion of capitalism, socialism, and historical accountability. 00:00 Introduction and Overview 00:44 Presidential Approval Ratings and Polling Reality 02:38 Why Americans Have Always Hated Politicians 03:35 Powerball, Probability, and the Math of Dreaming 06:51 Maryland’s Reparations Commission Explained 08:12 Who Pays and Who Gets Reparations? 10:03 Mitigation, Law, and the Reparations Problem 14:24 Introducing Phil Magness 15:02 Was Capitalism Built on Slavery? 17:59 Slavery as an Ancient Institution 19:50 Adam Smith’s Case Against Slavery 23:05 Why Slavery Is Anti-Capitalist 24:50 Pro-Slavery Economics and Feudalism 26:16 Founding Fathers, Hypocrisy, and Moral Failure 30:21 Slavery’s Global History and Misconceptions 32:06 Incentives, Profit, and Economic Naivety 34:53 Would Slavery Have Ended Without the Civil War? 37:59 Gradual Emancipation and Historical Alternatives 40:47 Socialism, Capitalism, and the Plantation Model 44:01 Final Reflections and Closing Thoughts Learn more about your ad choices. Visit podcastchoices.com/adchoices

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Episode 486: Slavery and Capitalism is an episode from Words & Numbers by CiVL.

This episode is 47:57 long.

This episode was published on Jan 1, 2026.

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