Does the United States have too few people? It’s a provocative question—but one perhaps not asked often enough. And journalist Matthew Yglesias has an even more provocative answer.

In his new bestselling book, One Billion Americans: The Case for Thinking Bigger, Yglesias makes the case for tripling the American population. The U.S. is not “full,” he writes in the book’s introduction. “Many of its iconic cities—including not just famous cases of collapse like Detroit but also Philadelphia and Chicago and dozens of smaller cities like Rochester and Erie—actually have fewer residents than they had decades ago. And virtually all of our thriving cities easily have room to grow and accommodate more people.” As things stand now, he says, the United States is “staring down the barrel of inevitable relative decline.” The economies of China and India are growing quickly and threaten America’s position as the world’s leading power. And there are compelling domestic reasons for growing the population too.

Matthew Yglesias is the special guest on this week’s episode of the Strong Towns podcast. (It’s our first podcast of 2021, and the first of a two-part interview.) Yglesias is the host of The Weeds podcast and cofounder of Vox Media, and he recently launched the new blog and newsletter Slow Boring. In this episode, he talks with Strong Towns founder and president Chuck Marohn about why population growth would make the U.S. stronger—not just at the international level but as a “community of communities.” They also discuss why the idea of one billion Americans is actually a centrist one, why it doesn’t have to be an environmental disaster, and how it can get done.

Part 2 of the interview will run next week. But we think by the end of this episode you’ll see why Chuck named One Billion Americans one of the best books he read in 2020.

Slow Boring

The Weeds Podcast

One Billion Americans: The Case for Thinking Bigger, by Matthew Yglesias

Matthew Yglesias (Twitter)

Charles Marohn (Twitter)

The Strong Towns Local-Motive Tour