Breaking Math Podcast

Breaking Math Podcast

Hosted by Autumn · Autumn Phaneuf & Noah Giansiracusa

Books guests

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69Podcast AuthorityScore out of 100 · How it is scored
242
Episodes
Weekly
Cadence
2017
First episode
16K
YouTube views

About Breaking Math Podcast

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 (https://breakingmath.io/) Linktree: https://linktr.ee/breakingmathmedia (https://linktr.ee/breakingmathmedia) Email: breakingmathpodcast@gmail.com

Publisher
Autumn Phaneuf & Noah Giansiracusa
Category
science
Language
en
Explicit
No
First episode
7 Feb 2017
Latest episode
7 Oct 2026

Latest episodes

242 episodes in the feed.

  1. 7 Oct 2026

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

  2. 30 Sept 2026

    Math Trauma vs. Math Anxiety: What's Actually Holding You Back?

  3. 9 Sept 2026

    Superforecasting Explained: How Prediction Markets Beat Experts

Who has been a guest on Breaking Math Podcast

Names identified in recent episode analyses. Showing up to five guests.

  • Dr Dustin Moody
  • Dr Ileana Pazos
  • Dr Elizabeth Strychalski
  • Amy Mensch
  • Ryan Falkenstein-Smith

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

YouTube views
15,638
Score snapshot 15 Sept 2025

Podcast Authority Score: 69 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality
90
Social presence
91
YouTube
76
Engagement
0

Contact Breaking Math Podcast

Guest appearances
Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

Questions about Breaking Math Podcast

Who hosts Breaking Math Podcast?

Autumn host the show. Published by Autumn Phaneuf & Noah Giansiracusa.

How often do new episodes come out?

The show publishes weekly, based on its RSS feed.

Does Breaking Math Podcast take guests?

Yes. Guests have been identified in episode analyses.

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