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PODCAST

Breaking Math Podcast

Autumn Phaneuf & Noah Giansiracusa

Breaking Math is a deep-dive science, technology, engineering, AI, and mathematics podcast that explores the world through the lens of logic, patterns, and critical thinking. Hosted by Autumn Phaneuf, an expert in industrial engineering, operations research, and applied mathematics, and Noah Giansiracusa, a mathematician and leading voice in algorithmic literacy and technology ethics, the show is dedicated to uncovering the mathematical structures behind science, technology, and the systems shaping

science mathematics

All Episodes

41:34

Math Trauma vs. Math Anxiety: What's Actually Holding...

Breaking Math Podcast ·

2026/09/30

"I'm just not a math person." If you've ever said that about yourself, this episode is for you.Dr. Geillan Aly, author of Compassionate Math, joins Breaking Math to break down the real difference between math anxiety and math trauma — and why mathematics, more than almost any other subject, is uniquely built to make one bad experience feel like permanent proof of failure.In this episode we cover: 00:00 – What is math trauma, and why is it different from anxiety? 02:35 – Why math specifically (vs

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43:13

Forecasting Explained: How Prediction Markets Beat...

Breaking Math Podcast ·

2026/09/09

Professional forecaster Molly Hickman breaks down what it really means to assign a probability to the future — and why she believes generalists often out-forecast subject-matter experts. This episode explores the art and science of forecasting, from techniques to ethical considerations, and how AI and prediction markets are shaping our understanding of the future.Key TopicsThe definition of forecasting and its importanceTechniques for starting in forecastingThe role of AI and large language models

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48:46

What Actually Makes Something Alive? with Melanie...

Breaking Math Podcast ·

2026/08/19

What does it mean to be alive? In this episode of Breaking Math, Autumn and Noah speak with Melanie Challenger, author of Alive, about one of the most profound questions in science and philosophy: how do we define life?Challenger argues that life is not simply a machine-like process or a bundle of genetic instructions. Living beings are embodied, purposeful agents. From single-celled organisms to sequoia seeds, from animals to human beings, life is marked by an astonishing capacity to work to keep

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43:04

Why Uncertainty Is Science's Greatest Strength with...

Breaking Math Podcast ·

2026/08/06

Neuroscientist Stuart Firestein (Columbia University) joins Breaking Math to make an extravagant claim: uncertainty isn't a weakness in science — it's the defining feature that makes progress possible. In this episode, we break down why the "one right answer" myth is one of the most damaging ideas in science, why real experts are often the most uncertain people in the room, and why authority and expertise pull in opposite directions, covering two fundamentally different kinds of probability, why

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59:25

Robot Proof: Why Better AI Starts With Better People...

Breaking Math Podcast ·

2026/07/25

Neuroscientist, entrepreneur, and author Dr. Vivienne Ming joins Autumn and Noah to make the case that if we want better AI, we need to build better people first. We get into why AI tutors that hand students answers make learning worse, not better; what her research on "hybrid intelligence" reveals about the human traits — not the AI model — that predict elite human-AI collaboration; a wild experiment running Dungeons & Dragons with Claude and Gemini as dungeon masters to expose the gap between

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44:02

Why Nothing Works: Robber Barons, Algorithms &...

Breaking Math Podcast ·

2026/07/10

In this episode, Historian and author Marc Dunkelman to explain why the 19th-century fight over railroad power is the exact fight we're about to have over algorithms and AI. Drawing on his acclaimed book Why Nothing Works: Who Killed Progress — and How to Bring It Back (a Best Book of the Year in the Financial Times and The Economist), Marc unpacks the two competing tools America has always used against concentrated power — antitrust vs. regulation — and why our government's "endemic diffusion of

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52:49

Can Math Save Journalism?: Julia Angwin on Proof,...

Breaking Math Podcast ·

2026/07/02

In this conversation we chat with Julia Angwin — Pulitzer Prize-winning journalist, founder of Proof News, and former Wall Street Journal and ProPublica reporter — to make the case that journalism should function more like mathematical proof than anecdote.We cover how Angwin's team at The Markup used a decision-tree model to prove Amazon was favoring its own products in search results by an 8-to-1 margin — a finding the House Antitrust Committee later cited when referring Amazon to the DOJ for

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45:38

The Proof in the Code: How Lean Is Quietly Rewriting...

Breaking Math Podcast ·

2026/06/24

In this episode, Autumn and Noah talk with Kevin Hartnett about why mathematicians are willing to spend years reducing an idea to a level of detail a machine can check, whether formal verification can catch an AI that's technically correct but fundamentally misaligned, the cold-start problem that kept earlier theorem-provers niche, and what it means for the future of mathematical trust once AI can generate proofs faster than any human community can read them.Timeline:00:00 Introduction to Lean and

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40:06

How Data Science Exposes Injustice: Chad Topaz on...

Breaking Math Podcast ·

2026/06/10

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

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44:24

Rise of the Robots: Is AI Coming for Your Job?

Breaking Math Podcast ·

2026/06/02

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

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47:03

The Echoing Universe: How Radio Waves, AI, and Math...

Breaking Math Podcast ·

2026/05/29

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

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29:38

AI Solves 80-Year-Old Math Conjecture: What It Means...

Breaking Math Podcast ·

2026/05/23

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

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50:15

The Science of Addiction: Dopamine, Social Media, and...

Breaking Math Podcast ·

2026/05/21

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,

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47:33

Are We Being Misled by Data? Ron Wasserstein on AI,...

Breaking Math Podcast ·

2026/05/14

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

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41:57

How Ransomware Became a Global Industry with Anja...

Breaking Math Podcast ·

2026/05/05

What if ransomware did not begin with criminals, but with curiosity? In this episode of Breaking Math, Autumn and Noah talk with Anja Shortland, professor of political economy at King’s College London and author of Dark Screens. This conversation explores how playful hacking evolved into professionalized cybercrime, why ransomware gangs operate like morally questionable internet startups, how cryptocurrency made ransomware scalable, and why hospitals, governments, universities, and critical

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56:37

Explaining Huge Numbers with Richard Elwes

Breaking Math Podcast ·

2026/04/28

What does it actually mean for a number to be “big”? In this episode of Breaking Math, Autumn chats with mathematician Richard Elwes to explore how huge numbers reveal the limits of human intuition, language, and even mathematics itself. The discussion moves from exponential growth in pandemics and finance to numbers larger than the universe itself, emerging in games like chess and abstract possibility spaces. Finally, it reaches one of the most profound ideas in modern mathematics: that there are

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35:33

AI Isn’t Replacing You—It’s Changing the Rules with...

Breaking Math Podcast ·

2026/04/26

In this episode we sit down with Sheamus McGovern, founder of the Open Data Science Conference (ODSC AI), to unpack what AI actually looks like. Sheamus shares what’s really happening behind the scenes of the AI boom and why the biggest shift isn’t job loss, but a complete transformation of skills. From explaining why AI is reshaping—not replacing—jobs, to breaking down the gap between hype and real-world applications, this conversation explores how early algorithmic trading foreshadowed today’s AI

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50:58

Math and Magic with Matt Baker

Breaking Math Podcast ·

2026/04/15

In this episode, mathematician and award-winning magician Matt Baker explores the fascinating intersection of mathematics and magic, revealing how mathematical principles, intuition, and storytelling create unforgettable illusions. From a mind-reading trick based on the classic concept of “casting out nines” to his groundbreaking research on the Riemann–Roch theorem for graphs, Baker demonstrates how creativity and pattern recognition drive both mathematical discovery and magical performance

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38:35

Credibility Crisis in Science with Thomas Plümper and...

Breaking Math Podcast ·

2026/04/07

In this episode, Thomas Plümper and Eric Neumayer explore the hidden challenges in modern science, from outright fraud to the subtler practice of “tweaking” data that distorts results. They examine why the self-correcting nature of science often falls short, how incentives and academic pressure drive misconduct, and the double-edged role of AI in both enabling and detecting fraud. The conversation also tackles debates around p-values and statistical reasoning, shares cautionary case studies, and

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8:01

Denied, Then Unstoppable: The Story of Mary T....

Breaking Math Podcast ·

2026/03/27

This Women in History Mini-Series episode with Dr. Victoria Bateman explores the inspiring story of Mary T. Washington Wylie, the first African-American woman CPA, her challenges, achievements, and legacy in breaking racial and gender barriers in the early 20th century. Mathematics is supposed to be objective—but access to it has never been equal.Chapters00:00 Introduction to Mary T. Washington Wylie00:48 Early Life and Challenges02:58 Breaking Barriers in Accountancy05:25 Pioneering a Path for

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182 results

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