Episode Summary
Executive Summary: Sean Carroll talks with biologist Carl Bergstrom about "bullshit" as the strategic use of language or numbers that persuades while disregarding truth. They connect animal deception, human self-deception, and social-media amplification to the modern "new school" version: quantitative bullshit in graphs, statistics, and models. The discussion centers on how to detect it, why COVID-19 intensified it, and how education, transparency, and better platform design can reduce its spread.
Main Topics: Defining bullshit vs. lying (Priority: 5/5): Bergstrom adopts Harry Frankfurt's definition: bullshit is not necessarily falsehood, but speech made without regard for truth, aimed at impressing or persuading. Evolution, animal communication, and deception (Priority: 4/5): The conversation traces honesty and deception in animal signaling, showing that information manipulation predates humans and helps explain why bullshit is biologically plausible. New school bullshit: numbers, graphs, and data (Priority: 5/5): The episode argues that modern bullshit often cloaks itself in statistics, visualizations, and scientific-looking claims, exploiting people’s trust in numbers. Fermi estimation and proportional reasoning (Priority: 5/5): Bergstrom demonstrates how back-of-the-envelope calculations and denominator checks can quickly reveal whether a numerical claim is plausible or manipulative. Social media, algorithms, and polarization (Priority: 5/5): They discuss how engagement-driven platforms reward extreme content, create filter bubbles, and intensify misinformation through tribal identity and targeted political ads. COVID-19 and the politicization of science (Priority: 4/5): Bergstrom explains how the pandemic exposed the vulnerability of science and public communication to partisan interpretation, disinformation, and distrust. How to improve information hygiene (Priority: 4/5): The episode closes with practical advice: track claims back to sources, stay skeptical of sensational statements, and build media and quantitative literacy rather than cynicism.
Key Arguments: Bullshit differs from lying because the bullshitter does not care whether the claim is true, only whether it persuades. Deception and dishonest signaling have deep evolutionary roots, so human bullshit builds on older biological and cognitive machinery. Modern communication is uniquely vulnerable because numbers and charts are treated as inherently objective, even though they can be framed misleadingly. A claim without a denominator or a meaningful comparator is often information-poor and may be bullshit by design. Fermi estimation is a practical defense: if a number is shocking, estimate whether it is even in the right order of magnitude. Social-media platforms optimize for engagement, not accuracy, so their algorithms tend to amplify emotionally charged and extreme content. Tribal identity can override truth-seeking, especially when individuals share information to signal loyalty rather than accuracy. Peer review improves science but does not guarantee correctness; it acts more like a filter that enriches useful work than a seal of truth. Open preprints and transparent science can accelerate knowledge, but in polarized environments they also become weapons in partisan battles. The best defense is not blanket cynicism, but learning to think more and share less, and to verify claims at the source.
Data Points: Course/book launch: Since 2017 - Bergstrom and Jevin West have taught the Calling Bullshit course since 2017, later turning it into a book. Book title: Calling Bullshit: The Art of Skepticism in a Data-Driven World - Name of Bergstrom and West’s book discussed throughout the episode. Pandemic timing: Manuscript completed before COVID-19 - Bergstrom notes the book was finished before the pandemic, yet became immediately relevant during it. 2020s media shift: Last 20 years - Bergstrom argues the biggest change in bullshit is the rise of quantified, data-driven persuasion over roughly two decades. Social media target example: 400 people - He describes targeted political ads that can be sent to very narrow audience segments without public visibility. Age of listeners example: 100 years - Used in a Fermi estimate for how many podcast listeners might die while listening. Podcast consumption example: 10 hours per week - Assumed as an order-of-magnitude estimate in the live Fermi calculation. Annual listening example: 100 hours per year - Bergstrom simplifies the Fermi estimate by approximating yearly listening time. Hours per year: 10,000 hours - Used as a rough estimate to make the podcast-heart-attack calculation tractable. Annual U.S. deaths: 3 million per year - Approximate number used in the live Fermi estimate. Podcast death estimate: 3,000 podcast deaths a year - Result of Bergstrom’s rough calculation for deaths occurring while listening to podcasts. Heart attack rate: 1 in 300 - Derived estimate for heart attacks while listening to podcasts in the Fermi calculation. COVID-era relevance: 2016 elections to present - Bergstrom ties misinformation research to the rise of fake news and later pandemic misinformation.
Pivotal Quotes: "Bullshit is different than lying. In lying, you know that there's some truth and you're telling the opposite of it, whereas in bullshit, it's not that you're trying to tell untruths. It's just that you don't care what the truth is." — Sean Carroll: Opening framing of the episode and the philosophical distinction discussed with Bergstrom. "The bullshitter doesn't even care what the truth is. The bullshitter is just simply trying to, you know, bullshit." — Carl Bergstrom: Bergstrom’s explanation of Harry Frankfurt’s concept of bullshit. "We want to try to do is to show people that despite the, you know, bullshit prone world that we live in, there is truth out there and you can get to it." — Carl Bergstrom: Closing statement about the goal of the course and the broader educational mission.
Implications: Listeners are urged to treat numbers, graphs, and viral claims as suspect until checked against context, denominators, and source quality. The episode suggests better media literacy, platform design, and skepticism can limit misinformation without collapsing into cynicism.
About Sean Carroll MindScape
Ever wanted to know how music affects your brain, what quantum mechanics really is, or how black holes work? Do you wonder why you get emotional each time you see a certain movie, or how on earth video games are designed? Then you’ve come to the right place. Each week, Sean Carroll will host conversations with some of the most interesting thinkers in the world. From neuroscientists and engineers to authors and television producers, Sean and his guests talk about the biggest ideas in science, ...