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Total monthly reach
Estimated from 42 chart positions in 42 markets.
By chart position
- 🇬🇧GB · Mathematics#31M to 3M
- 🇺🇸US · Mathematics#41M to 3M
- 🇦🇺AU · Mathematics#41M to 3M
- 🇨🇦CA · Mathematics#17300K to 1M
- 🇩🇪DE · Mathematics#26100K to 300K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
1.9M to 5.6M🎙 Daily cadence·186 episodes·Last published 5d ago - Monthly Reach
Unique listeners across all episodes (30 days)
6.2M to 19M🇬🇧16%🇺🇸16%🇦🇺16%+39 more - Active Followers
Loyal subscribers who consistently listen
2.5M to 7.5M
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 12 epsHosts
Recent guests
Recent episodes
How Data Science Exposes Injustice: Chad Topaz on Unlocking Justice
Jun 10, 2026
40m 06s
Rise of the Robots: Is AI Coming for Your Job?
Jun 2, 2026
44m 24s
The Echoing Universe: How Radio Waves, AI, and Math Could Help Us Find Aliens with Emma Chapman
May 29, 2026
47m 03s
AI Solves 80-Year-Old Math Conjecture: What It Means for the Future of Mathematics
May 23, 2026
29m 38s
The Science of Addiction: Dopamine, Social Media, and the Myth of Willpower with Maia Szalavitz
May 21, 2026
50m 15s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/10/26 | ![]() How Data Science Exposes Injustice: Chad Topaz on Unlocking Justice | What happens when the evidence of injustice is buried in messy, redacted, or inaccessible data? Mathematician and data scientist Chad Topaz joins Breaking Math to discuss his book Unlocking Justice. Together, we explore policing, sentencing, public records, Rikers Island, algorithmic risk, and the limits of quantifying human lives. This is a conversation about math, power, transparency, and the small acts of hope that can change systems. Chapters00:00 Introduction and Context of the Conversation01:11 Chad's Journey from Mathematics to Social Justice03:50 The Personal Nature of Chad's Book04:40 Challenges in Data Collection and Access08:03 The Impact of Data on Policing and Surveillance09:51 Humorous Yet Tragic Data Collection Experiences12:55 The Importance of Data Preparation and Cleaning14:40 Navigating Imperfect Data and Its Consequences17:48 The Balance Between Quantification and Human Stories22:25 Incarceration and Public Health: The Rikers Island Case Study31:36 Mathematics and Social Justice: Secrets of the Elite39:03 Hope and Action: A Personal Journey in Data for JusticeFollow Chad Topaz onBluesky(https://bsky.app/profile/chadtopaz.bsky.social) Book (https://amzn.to/3S21pKb)Follow Breaking Math onSubstack (https://breakingmath.substack.com/)X (https://x.com/breakingmathpod)Instagram (https://www.instagram.com/breakingmathmedia/)Bluesky (https://bsky.app/profile/breakingmath.bsky.social)Website (https://www.breakingmath.io/)YouTube (https://www.youtube.com/@BreakingMathPod)Follow Noah onInstagram (https://www.instagram.com/profnoahgian/)X (https://x.com/ProfNoahGian)Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)Follow Autumn onX (https://x.com/1autumn_leaf)Bluesky (https://bsky.app/profile/1autumnleaf.bsky.social)Instagram (https://www.instagram.com/1autumnleaf/)Substack (https://substack.com/@1autumnleaf)email: breakingmathpodcast@gmail.com | 40m 06s | ||||||
| 6/2/26 | ![]() Rise of the Robots: Is AI Coming for Your Job? | This conversation explores the profound impact of AI and automation on the future of work, economy, and society. Featuring Martin Ford, author of 'Rise of the Robots,' the discussion covers technological progress, economic implications, policy ideas like universal basic income, and the evolving nature of jobs in an AI-driven world.Key TopicsImpact of AI on employment and economyPotential of universal basic income as a solutionDifferences between past technological revolutions and AIThe evolution from physical robots to AI software agentsJobs most vulnerable to automation and AIChapters04:14 The Impact of Technological Revolutions on Employment10:40 The Shift from Physical to Intellectual Automation12:16 The Debate: Replacement vs. Augmentation of Jobs18:01 Economic Implications of Job Displacement21:00 Exploring Solutions: Universal Basic Income and Beyond24:08 The Awakening of Economists25:12 Historical Perspectives on Automation28:27 Navigating the Future Job Market32:57 The Role of Skilled Trades in an AI World38:13 The Alien Thought Experiment42:17 The Future of AI and Its Implications44:14 The Rise of Automation and Its Impact45:14 AI as a Digital Workforce45:38 The Shifting Landscape of Work46:08 Questioning the Future of Automation and AIFollow Martin Ford onX (https://x.com/MFordFuture) Book (https://amzn.to/4vluX3N)Follow Breaking Math onSubstack (https://breakingmath.substack.com/)X (https://x.com/breakingmathpod)Instagram (https://www.instagram.com/breakingmathmedia/)Bluesky (https://bsky.app/profile/breakingmath.bsky.social)Website (https://www.breakingmath.io/)YouTube (https://www.youtube.com/@BreakingMathPod)Follow Noah onInstagram (https://www.instagram.com/profnoahgian/)X (https://x.com/ProfNoahGian)Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)Follow Autumn onX (https://x.com/1autumn_leaf)Bluesky (https://bsky.app/profile/1autumnleaf.bsky.social)Instagram (https://www.instagram.com/1autumnleaf/)Substack (https://substack.com/@1autumnleaf)email: breakingmathpodcast@gmail.com | 44m 24s | ||||||
| 5/29/26 | ![]() The Echoing Universe: How Radio Waves, AI, and Math Could Help Us Find Aliens with Emma Chapman | Dr. Emma Chapman explains radio astronomy using the fruit bowl metaphor, explores the emotional and scientific aspects of space exploration, and discusses future technologies like the Square Kilometre Array and lunar radio telescopes. The conversation highlights the poetic beauty of the universe, the importance of connection, and the role of math and AI in understanding the cosmos with her book the Echoing Universe.Chapters03:17 Understanding Radio Astronomy08:12 The Intimacy of the Solar System09:10 Tidal Locking and the Moon13:36 The Emotional Lives of Astronauts' Families17:53 The Shared Experience of Space Exploration21:58 The Emotional Resonance of Celestial Events26:41 Facing the Universe: Overcoming Fear through Cosmology28:16 Cultural Perspectives: How Civilizations Understand the Cosmos30:52 Astronomy's Historical Impact: Control and Awe in Civilizations31:05 The Unlikely Scientist: James Stanley Hay's Discovery40:31 AI in Astronomy: Harnessing Data for Discovery45:14 The Next Frontier: Radio Telescopes on the Moon47:38 A New Perspective: The Space Between StarsFollow Dr. Emma Chapman Bluesky (https://bsky.app/profile/dreochapman.bsky.social)Instagram (https://www.instagram.com/dremmachapman/)Book (https://amzn.to/4u0GCnC) Follow Breaking Math onSubstack (https://breakingmath.substack.com/)X (https://x.com/breakingmathpod)Instagram (https://www.instagram.com/breakingmathmedia/)Bluesky (https://bsky.app/profile/breakingmath.bsky.social)Website (https://www.breakingmath.io/)YouTube (https://www.youtube.com/@BreakingMathPod)Follow Noah onInstagram (https://www.instagram.com/profnoahgian/)X (https://x.com/ProfNoahGian)Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)Follow Autumn onX (https://x.com/1autumn_leaf)Bluesky (https://bsky.app/profile/1autumnleaf.bsky.social)Instagram (https://www.instagram.com/1autumnleaf/)Substack (https://substack.com/@1autumnleaf)email: breakingmathpodcast@gmail.com | 47m 03s | ||||||
| 5/23/26 | ![]() AI Solves 80-Year-Old Math Conjecture: What It Means for the Future of Mathematics | This episode explores how AI, specifically OpenAI's recent breakthrough in solving an 80-year-old math conjecture, is transforming the field of mathematics. Featuring insights from Professor Daniel Litt, the discussion covers the implications of AI in mathematical research, the value of human verification, and the future of mathematical practice.Key topicsAI solving long-standing mathematical problemsThe role of human verification in AI-generated proofsImplications of AI breakthroughs in discrete geometryThe future of mathematical research with AINumber theory and algebraic constructions in AI discoveriesChapters00:00 Introduction to the Conjecture and Its Significance01:15 Understanding the Erdős Problem04:34 The Role of AI in Solving Mathematical Problems09:17 The Implications of AI in Mathematics10:32 AI vs Human Mathematicians: A Comparative Analysis17:20 Standards for AI-Generated Proofs21:10 Corporate Interests in Mathematical Research24:42 The Future of Mathematics and AI27:50 Final Thoughts on AI and Mathematics31:37 Revolutionizing Mathematics: AI's Breakthrough in Discrete Geometry37:37 Exploring the Implications: AI and the Future of Mathematics38:03 The Role of AI in Mathematics39:23 Human Value in the Age of AIFollow Daniel Litt onX (https://x.com/maiasz) Website (https://daniellitt.com)Follow Breaking Math onSubstack (https://breakingmath.substack.com/)X (https://x.com/breakingmathpod)Instagram (https://www.instagram.com/breakingmathmedia/)Bluesky (https://bsky.app/profile/breakingmath.bsky.social)Website (https://www.breakingmath.io/)YouTube (https://www.youtube.com/@BreakingMathPod)Follow Noah onInstagram (https://www.instagram.com/profnoahgian/)X (https://x.com/ProfNoahGian)Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)Follow Autumn onX (https://x.com/1autumn_leaf)Bluesky (https://bsky.app/profile/1autumnleaf.bsky.social)Instagram (https://www.instagram.com/1autumnleaf/)Substack (https://substack.com/@1autumnleaf)email: breakingmathpodcast@gmail.com | 29m 38s | ||||||
| 5/21/26 | ![]() The Science of Addiction: Dopamine, Social Media, and the Myth of Willpower with Maia Szalavitz | In this episode with award-winning journalist and author Maia Szalavitz challenges the idea that addiction is simply about pleasure or willpower. Instead, she explains addiction as compulsive behavior that continues despite negative consequences — and shows why withdrawal, dependence, and addiction are not the same thing.The conversation explores “wanting” versus “liking,” why dopamine is misunderstood, how social media and AI can exploit reward systems, and why punishment often fails. Ultimately, Szalavitz argues that recovery depends less on tough love and more on connection, purpose, safety, and care.Chapters00:00 Understanding Addiction: Definitions and Mechanisms10:43 The Role of Dopamine in Addiction14:18 Addiction as a Learning Disorder16:22 Substance vs. Experience: The Nature of Addiction20:13 Evidence-Based Methods for Overcoming Addiction25:20 Finding Meaning and Purpose Beyond Addiction33:30 The Pursuit of Meaningful Experiences34:15 Understanding Dopamine and Pleasure39:10 The Complexity of Addiction43:00 Social Media and Addiction Dynamics50:42 Generational Perspectives on Technology and Addiction57:53 Lessons Learned in Addiction Science01:02:03 Rethinking Addiction: A New Perspective01:03:54 The Compulsive Nature of Addiction01:04:14 Understanding Addiction Beyond Pleasure01:05:27 The Importance of Connection and CompassionFollow Maia Szalavitz onX (https://x.com/maiasz)Follow Breaking Math onSubstack (https://breakingmath.substack.com/)X (https://x.com/breakingmathpod)Instagram (https://www.instagram.com/breakingmathmedia/)Bluesky (https://bsky.app/profile/breakingmath.bsky.social)Website (https://www.breakingmath.io/)YouTube (https://www.youtube.com/@BreakingMathPod)Follow Noah onInstagram (https://www.instagram.com/profnoahgian/)X (https://x.com/ProfNoahGian)Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)Follow Autumn onX (https://x.com/1autumn_leaf)Bluesky (https://bsky.app/profile/1autumnleaf.bsky.social)Instagram (https://www.instagram.com/1autumnleaf/)Substack (https://substack.com/@1autumnleaf)email: breakingmathpodcast@gmail.com | 50m 15s | ||||||
| 5/14/26 | ![]() Are We Being Misled by Data? Ron Wasserstein on AI, Bias, and Statistical Truth | In this episode of Breaking Math, Autumn and Noah speak with Ron Wasserstein, Executive Director of the American Statistical Association, about what statistics means in a world increasingly shaped by AI, misinformation, and fragile public trust. Wasserstein argues that statistics is not merely a “bag of tools,” but a way of thinking: asking where data comes from, what it leaves out, how uncertainty should be communicated, and when numbers are being used to illuminate rather than manipulate.Chapters00:00 The Golden Age of Statistics02:36 AI's Impact on Statistics08:16 Data as Fuel for AI10:55 Bias in AI and Statistics14:01 Preparing Future Statisticians16:58 Bridging the Gap: Academia and Industry22:58 The Misconception of Statistics23:08 The Role of Statistics in Public Discourse26:20 The American Statistical Association's Mission32:18 Statistics and Politics: A Historical Perspective36:02 Addressing Misinformation and Misuse of Data39:51 The Importance of Statistical Literacy44:01 Misconceptions About Statistics and Expertise46:57 The Essence of Statistics47:22 Statistics as a Way of ThinkingFollow Ron WassersteinLinkedIn (https://www.linkedin.com/in/ron-wasserstein/)Follow Breaking Math onSubstack (https://breakingmath.substack.com/)Twitter (https://x.com/breakingmathpod)Instagram (https://www.instagram.com/breakingmathmedia/)Bluesky (https://bsky.app/profile/breakingmath.bsky.social)Website (https://www.breakingmath.io/)YouTube (https://www.youtube.com/@BreakingMathPod)Follow Noah onInstagram (https://www.instagram.com/profnoahgian/)Twitter (https://x.com/ProfNoahGian)Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)Follow Autumn onTwitter (https://x.com/1autumn_leaf)Bluesky (https://bsky.app/profile/1autumnleaf.bsky.social)Instagram (https://www.instagram.com/1autumnleaf/)Substack (https://substack.com/@1autumnleaf)email: breakingmathpodcast@gmail.com | 47m 33s | ||||||
| 5/5/26 | ![]() How Ransomware Became a Global Industry with Anja Shortland on Dark Screens✨ | ransomwarecybercrime+5 | Anja Shortland | King’s College LondonDark Screens | — | ransomwarecybercrime+8 | — | 41m 57s | |
| 4/28/26 | ![]() Explaining Huge Numbers with Richard Elwes✨ | huge numberslimits of human intuition+4 | Richard Elwes | Breaking Math | — | huge numbersexponential growth+5 | — | 56m 37s | |
| 4/26/26 | ![]() AI Isn’t Replacing You—It’s Changing the Rules with Sheamus McGovern✨ | AI transformationjob skills+4 | Sheamus McGovern | Open Data Science ConferenceTensorFlow+2 | — | AIjob loss+7 | — | 35m 33s | |
| 4/15/26 | ![]() Math and Magic with Matt Baker✨ | mathematicsmagic+4 | Matt Baker | Breaking Math Podcast | — | mathmagic+5 | — | 50m 58s | |
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 4/7/26 | ![]() Credibility Crisis in Science with Thomas Plümper and Eric Neumayer✨ | scientific frauddata transparency+4 | Thomas PlümperEric Neumayer | Breaking MathLinkedIn+4 | — | fraud in researchp-values+3 | — | 38m 35s | |
| 3/27/26 | ![]() Denied, Then Unstoppable: The Story of Mary T. Washington Wylie✨ | Women in HistoryAfrican-American history+4 | Dr. Victoria Bateman | — | — | Mary T. Washington WylieCPA+5 | — | 8m 01s | |
| 3/24/26 | ![]() The Power of Connection in Math: Insights from Hortensia Soto✨ | mathematicsAI+5 | Hortensia Soto | Mathematical Association of America | — | mathematicsAI+5 | — | 40m 20s | |
| 3/20/26 | ![]() Florence Nightingale: Data-Driven Reformer of Medicine✨ | data visualizationhealthcare reform+3 | Dr. Victoria Bateman | — | — | Florence Nightingaledata-driven reform+5 | — | 12m 55s | |
| 3/17/26 | ![]() The Math Behind Gerrymandering, Fair Representation, and Politics with Karen Saxe✨ | gerrymanderingmathematics in politics+4 | Karen Saxe | American Mathematical Society | Washington, D.C. | gerrymanderingmathematics+7 | — | 35m 18s | |
| 3/13/26 | ![]() Anna Schwartz: The Economist Who Changed How We Study Economies✨ | economicswomen in history+3 | Dr. Victoria Bateman | — | — | Anna Schwartzeconomics+3 | — | 14m 20s | |
| 3/11/26 | ![]() Disappearing Grants, Genius Grants, and the AI Proofs with Lauren K. Williams✨ | mathematical researchfederal grants+4 | Lauren K. Williams | Harvard UniversityMacArthur Fellowship | — | mathematicsgrants+6 | — | 25m 46s | |
| 3/6/26 | ![]() Priscilla Wakefield: Empowering Women Through Financial Literacy✨ | financial literacywomen empowerment+4 | Dr. Victoria Bateman | Breaking Math PodcastEngland | — | Priscilla Wakefieldfinancial literacy+4 | — | 9m 44s | |
| 1/15/23 | ![]() 76: Joule Pay for This! (Energy) | Join Sofia Baca and her guests Millicent Oriana from Nerd Forensics and Arianna Lunarosa as they discuss energy.The sound that you're listening to, the device that you're listening on, and the cells in both the ear you're using to listen and the brain that understands these words have at least one thing in common: they represent the consumption or transference of energy. The same goes for your eyes if you're reading a transcript of this. The waves in the ears are pressure waves, while eyes receive information in the form of radiant energy, but they both are still called "energy". But what is energy? Energy is a scalar quantity measured in dimensions of force times distance, and the role that energy plays depends on the dynamics of the system. So what is the difference between potential and kinetic energy? How can understanding energy simplify problems? And how do we design a roller coaster in frictionless physics land?[Featuring: Sofia Baca; Millicent Oriana, Arianna Lunarosa]This episode is distributed under a Creative Commons Attribution-ShareAlike 4.0 International License. Full text here: https://creativecommons.org/licenses/by-sa/4.0/ | 1h 06m 30s | ||||||
| 10/13/22 | ![]() 75: Existential Physics with Sabine Hossenfelder (Author Interview) | An interview with Dr. Sabine Hossenfelder about her second book Existential Physics. Sabine is host of the famous youtube show Science with Sabine. | 41m 31s | ||||||
| 6/19/22 | ![]() 74: Lights, Camera, Action! (3D Computer Graphics: Part I) | The world around us is a four-dimensional world; there are three spatial dimensions, and one temporal dimension. Many of these objects emit an almost unfathomable number of photons. As we developed as creatures on this planet, we gathered the ability to sense the world around us; and given the amount of information represented as photons, it is no surprise that we developed an organ for sensing photons. But because of the amount of photons that are involved, and our relatively limited computational resources, it is necessary to develop shortcuts if we want to simulate an environment in silico. So what is raytracing? How is that different from what happens in games? And what does Ptolemy have to do with 3D graphics? All of this and more on this episode of Breaking Math. | 42m 59s | ||||||
| 5/28/22 | ![]() 73: Materialism: a Material Science Podcast Podcast Episode (Interview with Taylor Sparks) | Physical objects are everywhere, and they're all made out of molecules, and atoms. However, the arrangement and refinement of these atoms can be the difference between a computer and sand, or between a tree and paper. For a species as reliant on tool use, the ability to conceieve of, design, create, and produce these materials is an ongoing concern. Since we've been around as humans, and even before, we have been material scientists in some regard, searching for new materials to make things out of, including the tools we use to make things. So what is the difference between iron and steel? How do we think up new things to make things out of? And what are time crystals? All of this and more on this episode of Breaking Math.This episode is released under a Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. More information here: https://creativecommons.org/licenses/by-nc/4.0/[Featuring: Sofía Baca, Gabriel Hesch; Taylor Sparks] | 55m 45s | ||||||
| 8/23/18 | ![]() 31: Into the Abyss (Part Two; Black Holes) | Black holes are objects that seem exotic to us because they have properties that boggle our comparatively mild-mannered minds. These are objects that light cannot escape from, yet glow with the energy they have captured until they evaporate out all of their mass. They thus have temperature, but Einstein's general theory of relativity predicts a paradoxically smooth form. And perhaps most mind-boggling of all, it seems at first glance that they have the ability to erase information. So what is black hole thermodynamics? How does it interact with the fabric of space? And what are virtual particles? | 56m 49s | ||||||
| 8/2/18 | ![]() 30: The Abyss (Part One; Black Holes) | The idea of something that is inescapable, at first glance, seems to violate our sense of freedom. This sense of freedom, for many, seems so intrinsic to our way of seeing the universe that it seems as though such an idea would only beget horror in the human mind. And black holes, being objects from which not even light can escape, for many do beget that same existential horror. But these objects are not exotic: they form regularly in our universe, and their role in the intricate web of existence that is our universe is as valid as the laws that result in our own humanity. So what are black holes? How can they have information? And how does this relate to the edge of the universe? | 51m 09s | ||||||
| 7/14/18 | ![]() 29: War | In the United States, the fourth of July is celebrated as a national holiday, where the focus of that holiday is the war that had the end effect of ending England’s colonial influence over the American colonies. To that end, we are here to talk about war, and how it has been influenced by mathematics and mathematicians. The brutality of war and the ingenuity of war seem to stand at stark odds to one another, as one begets temporary chaos and the other represents lasting accomplishment in the sciences. Leonardo da Vinci, one of the greatest western minds, thought war was an illness, but worked on war machines. Feynman and Von Neumann held similar views, as have many over time; part of being human is being intrigued and disgusted by war, which is something we have to be aware of as a species. So what is warfare? What have we learned from refining its practice? And why do we find it necessary? | 34m 09s | ||||||
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45 placements across 42 markets.
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45 placements across 42 markets.

























