『Breaking Math Podcast』のカバーアート

Breaking Math Podcast

Breaking Math Podcast

著者： Autumn Phaneuf & Noah Giansiracusa
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【Amazonプライム会員限定】今ならプレミアムプランが4か月 月額99円。

10月19日まで。※適用条件あり

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 our future.

What began as a conversation about math as a pure and elegant discipline has evolved into a platform for bold, interdisciplinary dialogue. Each episode of Breaking Math takes listeners on an intellectual journey—into the strange beauty of chaos theory, the ethical dilemmas of AI and algorithms, the hidden math of biology and evolution, or the physics governing black holes and the cosmos. Along the way, Autumn and Noah speak with working scientists, researchers, and thinkers across fields: computer scientists, physicists, chemists, engineers, economists, philosophers, and more.

But this isn’t just a podcast about equations. It’s a show about how mathematics shapes the way we think, decide, build, and understand the world. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, and the creative—for anyone who believes that ideas should be rigorous, accessible, and infused with wonder.

If you’ve ever wondered:

  • What’s the math behind machine learning and modern algorithms?
  • How do we quantify uncertainty in climate and economic models?
  • Can intelligence or consciousness be meaningfully described in AI?
  • Why does beauty matter in an equation?

You’re in the right place.

At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between abstract mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Noah invite you to rethink what math can be—and how it can help us shape a better future.

Listen wherever you get your podcasts.

Website: https://breakingmath.io

Linktree: https://linktr.ee/breakingmathmedia

Email: breakingmathpodcast@gmail.com

Autumn Phaneuf & Noah Giansiracusa 博物学 数学 科学 自然・生態学
エピソード
  • Can Math Make You Win? Gambler's Ruin, & Bingo Paradoxes with Arthur Benjamin

    Can Math Make You Win? Gambler's Ruin, & Bingo Paradoxes with Arthur Benjamin
    2026/10/07

    Mathematician, mental-math performer, and backgammon grandmaster Arthur Benjamin joins Noah and Autumn to talk about his book How to Win. Together they explore what mathematics knows about winning that human intuition gets wrong: coincidences, the birthday paradox, gambler's ruin, and why the house wins even when you reach your goal more than half the time.

    Timeline:

    00:00 Can math ruin the fun of games?

    00:38 Why people play for the challenge, not the answer

    02:35 Mental arithmetic and the human element

    03:30 Calculators, AI, and the future of coding

    05:47 What does math know about winning that intuition gets wrong?

    06:02 Coincidences and the birthday paradox

    10:16 Why games are a microcosm for pattern-seeking

    16:40 What games teach that the classroom doesn't

    16:52 Gambler's ruin: how to get to the concert

    20:30 The paradox: why casinos aren't afraid

    22:30 What does "winning" really mean?

    23:29 Wordle streaks vs. average guesses

    27:07 Rubik's Cube, blackjack, and why some games never get old

    35:38 Does math take the mystery out of games?

    Follow Arthur Benjamin on his website:

    (https://www.arthurbenjamin.info/)

    Subscribe for more on math, AI, technology, and the systems running the world. Follow Breaking Math on

    Substack (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 on

    Instagram (https://www.instagram.com/profnoahgian/)

    X (https://x.com/ProfNoahGian)

    Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)

    Follow Autumn on

    X (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
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    37 分
  • Forecasting Explained: How Prediction Markets Beat Experts

    Forecasting Explained: How Prediction Markets Beat Experts
    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 Topics

    The definition of forecasting and its importance

    Techniques for starting in forecasting

    The role of AI and large language models in forecasting

    How to interpret probabilities and conditional forecasts

    Forecasting in complex systems like climate and geopolitics

    Ethical boundaries and red lines in prediction markets

    The impact of AI bots on forecasting accuracy and decision making

    Chapters

    03:06 Getting Started with Forecasting: Tools and Techniques

    06:15 Beginning Forecasting as a Beginner

    07:31 Gut Feelings vs Market Wisdom

    08:33 The Delphi Loop and Group Forecasting

    09:39 Measuring Forecast Accuracy and Skill

    11:17 Forecasting Long-Term and Uncertain Events

    12:40 Extrapolating Trends and Model Limitations

    14:19 AI Bots in Forecasting and Their Performance

    18:16 Prediction Markets as Collective Wisdom

    19:19 The Future of Prediction Markets and Society

    24:06 The Meaning of Probabilities and Risk Assessment

    27:20 Dealing with Chaos and Unpredictability

    32:52 Combining Models and Expert Opinions

    36:31 Forecasting and Expertise in Science and Policy

    39:01 Forecasting AI Risks and Ethical Boundaries

    Follow Molly Hickman on X (https://x.com/celloMolly)

    Follow Breaking Math on

    Substack (https://breakingmath.substack.com/)

    X (https://x.com/breakingmathpod)

    Instagram (https://www.instagram.com/breakingmathmedia/)

    Website (https://www.breakingmath.io/)

    YouTube (https://www.youtube.com/@BreakingMathPod)

    Follow Noah on

    Instagram (https://www.instagram.com/profnoahgian/)

    X (https://x.com/ProfNoahGian)

    Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)

    Follow Autumn on

    X (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
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    43 分
  • What Actually Makes Something Alive? with Melanie Challenger

    What Actually Makes Something Alive? with Melanie Challenger
    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 itself alive.

    Chapters

    08:12 The concept of purpose in living beings

    09:14 The scientific view of purpose and agency

    11:52 The importance of purpose and meaning in life

    13:19 The danger of ignoring organism agency in science

    14:34 Living beings as purposeful agents

    15:35 Comparing purpose in a Roomba and a single-celled organism

    18:03 Autopoetic vs allopoetic systems

    20:03 Free will, agency, and the universe

    23:24 The physical basis of life and energy

    28:38 Aristotle's concept of psyche and purpose

    33:46 The importance of understanding what life truly is

    37:56 Material integration and the difference between machines and living beings

    38:15 The concept of self and embodiment in life

    41:09 The whole body as the agent, not just the brain

    Follow Melanie Challenger on her website:

    (https://www.melaniechallenger.com/) Subscribe for more on math, AI, technology, and the systems running the world. Follow Breaking Math on

    Substack (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 on

    Instagram (https://www.instagram.com/profnoahgian/)

    X (https://x.com/ProfNoahGian)

    Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)

    Follow Autumn on

    X (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
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    49 分
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