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 Gabriel Hesch, an electrical engineer (host from 2016-2024) with a passion for mathematical clarity, the show is dedicated to uncovering the mathematical structures behind science, engineering, technology, and the systems that shape 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—whether it’s into the strange beauty of chaos theory, the ethical dilemmas of AI, the deep structures of biological evolution, or the thermodynamics of black holes. Along the way, Autumn and Gabriel interview leading thinkers and working scientists from across the spectrum: computer scientists, quantum physicists, chemists, philosophers, neuroscientists, and more.
But this isn’t just a podcast about equations—it’s a show about how mathematics influences the way we think, create, build, and understand. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, 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?
* How do we quantify uncertainty in climate models?
* Can consciousness be described in AI?
* Why does beauty matter in an equation?
Then you’re in the right place.
At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between the abstract world of mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Gabriel 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
Email: breakingmathpodcast@gmail.com
All content for Breaking Math Podcast is the property of Autumn Phaneuf and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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 Gabriel Hesch, an electrical engineer (host from 2016-2024) with a passion for mathematical clarity, the show is dedicated to uncovering the mathematical structures behind science, engineering, technology, and the systems that shape 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—whether it’s into the strange beauty of chaos theory, the ethical dilemmas of AI, the deep structures of biological evolution, or the thermodynamics of black holes. Along the way, Autumn and Gabriel interview leading thinkers and working scientists from across the spectrum: computer scientists, quantum physicists, chemists, philosophers, neuroscientists, and more.
But this isn’t just a podcast about equations—it’s a show about how mathematics influences the way we think, create, build, and understand. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, 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?
* How do we quantify uncertainty in climate models?
* Can consciousness be described in AI?
* Why does beauty matter in an equation?
Then you’re in the right place.
At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between the abstract world of mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Gabriel 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
Email: breakingmathpodcast@gmail.com
In this conversation, Marcus Du Sautoy explores the intricate relationship between mathematics and various forms of art, including music, literature, and visual arts. He discusses how mathematical concepts such as prime numbers, symmetry, and randomness influence creative processes and artistic expressions. Through examples from renowned artists like Shakespeare and Dali, Du Sautoy illustrates how mathematics serves as a blueprint for understanding and creating art, while also emphasizing the emotional and aesthetic dimensions of both fields.
Takeaways
* Mathematics and art are deeply interconnected.
* The circle is fundamental to both mathematics and nature.
* Prime numbers are essential building blocks in mathematics.
* Music often employs mathematical structures for creativity.
* Shakespeare used prime numbers to disrupt rhythm.
* Symmetry plays a crucial role in both art and mathematics.
* Dali's work reflects his fascination with scientific ideas.
* Theatre allows for abstract exploration of mathematical concepts.
* Ambiguity is embraced in art but avoided in mathematics.
* Randomness can lead to unexpected creative outcomes.
Chapters
* 00:00 Blueprints of Mathematics and Art
* 02:35 Defining Creativity and Its Interplay
* 04:24 Mathematicians as Collaborators with Artists
* 07:17 The Fractal Nature of Jackson Pollock's Art
* 12:54 The Significance of Circles in Mathematics
* 16:31 Exploring the Mystery of Prime Numbers
* 19:52 The Role of Primes in Music Composition
* 28:01 Mathematics and the Structure of Music
* 29:00 The Mathematical Foundations of Music
* 31:50 Art and Mathematics: Dali's Exploration
* 38:56 Theatrical Structures and Mathematical Concepts
* 43:46 The Distinct Narratives of Numbers and Art
* 48:07 Symmetry and Randomness: Blueprints of Creativity
* 58:49 Exploring Creativity Through Mathematics
Follow Professor du Sautoy on Twitter [https://x.com/MarcusduSautoy], BlueSky [https://bsky.app/profile/marcusdusautoy.bsky.social], and find his new book here [https://bio.to/Blueprints?fbclid=PAZXh0bgNhZW0CMTEAAaefqRocv2pUysqSuWsMgWkm7wN5vIqAtG0XJ_Jgm0hnhAQ47Ui7mu9foO6ZkA_aem_mU-tV_Q0f15y-UR-VnKwqg].
Subscribe to Breaking Math wherever you get your podcasts.
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email: breakingmathpodcast@gmail.com
In this conversation, Eugenia Cheng discusses the importance of making math accessible and engaging for everyone, particularly those who have been discouraged by traditional education methods. She emphasizes the intersection of math and art, the dangers of oversimplifying complex issues with numbers, and the need for a more nuanced understanding of equality and fairness in society. Cheng also highlights the significance of mentorship and the impact of gender dynamics in mathematics, advocating for a more inclusive approach to learning and appreciating math as a creative and thoughtful discipline.
Takeaways
* Many people are put off math due to early education experiences.
* Math and art should not be pitted against each other.
* Creativity is essential in STEM fields.
* Numbers can oversimplify complex realities.
* Understanding inequality requires recognizing its nuances.
* Context matters in mathematical reasoning.
* We often forget important details in data interpretation.
* Math can be appreciated without full understanding.
* Building confidence in math is crucial for everyone.
* Mentorship plays a vital role in academic success.
Chapters
* 00:00 Introduction to Mathematical Laziness
* 04:21 The Journey of a Mathematician
* 06:57 Creativity in Math and Art
* 09:33 Understanding Inequality through Math
* 11:57 The Dangers of Simplifying with Numbers
* 15:07 Political Debates and Mathematical Perspectives
* 17:15 The Importance of Context in Math
* 17:44 Category Theory and Abstraction in Math
* 20:29 Neutrality and the Gray Areas of Equality
* 24:02 Exploring Equality and Its Nuances
* 25:17 Mathematics in Real-World Contexts
* 28:49 The Intersection of Math and Marginalized Voices
* 32:39 Overcoming Gender Bias in Mathematics
* 35:28 The Role of Gut Instinct in Math
* 37:54 The Surprising Aspects of Writing a Book
* 42:51 Building Confidence in Math for Everyone
* 46:15 Rethinking Fairness and Structural Challenges
Follow Eugenia on Twitter [https://x.com/DrEugeniaCheng], BlueSky [https://bsky.app/profile/dreugeniacheng.bsky.social], and on her Website [https://eugeniacheng.com/]
Subscribe to Breaking Math wherever you get your podcasts.
Follow Breaking Math on Twitter [https://x.com/breakingmathpod], Instagram [https://www.instagram.com/breakingmathmedia/], LinkedIn [https://www.linkedin.com/company/breaking-math/], Website [https://breakingmath.io/], YouTube [https://www.youtube.com/@BreakingMathPod], TikTok [https://www.tiktok.com/@breakingmathmedia]
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Become a guest here [https://www.breakingmath.io/contact]
email: breakingmathpodcast@gmail.com
This week's episode isn't our usual deep dive—it's a behind-the-scenes update. On Monday, Breaking Math vanished from Spotify, Apple, YouTube, and more without warning. After digging in, we discovered a strange RSS glitch that merged our feed with another podcast.
In this quick update, Autumn shares:
* What happened behind the scenes when the show disappeared
* Which platforms are already fixed (and which we're still waiting on)
* How you can make sure you never lose track of Breaking Math again
* What to expect from upcoming guest episodes
Follow Breaking Math online:
Website: https://www.breakingmath.io/
YouTube: youtube.com/@breakingmathpod [https://www.youtube.com/@BreakingMathPod]
Twitter/X: @breakingmathpod [https://x.com/breakingmathpod]
Bluesky: breakingmath.bsky.social [https://bsky.app/profile/breakingmath.bsky.social]
Instagram: @breakingmathmedia [https://www.instagram.com/breakingmathmedia]
Facebook: Breaking Math Community [https://www.facebook.com/groups/506764038491869]
Thanks for sticking with us—we'll be back with a brand-new episode on Tuesday.
In this conversation, Dr. Daryl Fairweather, chief economist at Redfin, discusses her book "Hate the Game," that frames life and career decisions as strategic games. She emphasizes the importance of understanding economic principles to navigate personal and professional challenges, negotiate effectively, and reclaim agency in various aspects of life. Fairweather shares insights on overcoming barriers related to race and gender, the impact of information asymmetry, and the significance of designing one's own path in a competitive environment. The conversation highlights the necessity of introspection, strategic thinking, and the ability to adapt in a world that often feels rigged against certain individuals.
Takeaways
* Life can be viewed as a game where strategic decisions matter.
* Negotiation requires awareness of both your and your employer's options.
* Workplace bullying can be addressed with strategic approaches.
* Information asymmetry can hinder career advancement; awareness is key.
* Barriers in academia can be overcome with strategy and support.
* Race and gender dynamics play a significant role in economic opportunities.
* Balancing strategic thinking with empathy is crucial for long-term success.
* You can still achieve your goals despite systemic unfairness.
Chapters
* 00:00 Introduction to Economic Principles
* 03:57 Understanding Economic Cheat Codes
* 07:08 Navigating Career Options and Negotiations
* 09:39 Dealing with Workplace Dynamics
* 11:33 Information Asymmetry in Decision Making
* 14:02 Designing Your Own Game
* 15:06 Identity and Power in Economics
* 17:21 Overcoming Barriers in Economics
* 25:51 The Impact of Housing on Economic Understanding
* 30:38 Applying Economic Theory to Relationships
* 33:02 Winning in a Rigged Game
* 34:01 Life as a Game: Making Informed Decisions.
Follow Daryl on Twitter [https://x.com/FairweatherPhD], BlueSky [https://bsky.app/profile/hatethegamebook.com], Instagram [https://www.instagram.com/fairweatherphd/], LinkedIn [https://www.linkedin.com/in/darylfairweather/] and on her Website [https://www.hatethegame.com/]
Subscribe to Breaking Math wherever you get your podcasts.
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Follow Autumn on Twitter [https://x.com/1autumn_leaf] BlueSky [https://bsky.app/profile/1autumnleaf.bsky.social], TikTok [https://www.tiktok.com/@1autumn_leaf_], and Instagram [https://www.instagram.com/1autumnleaf/]
Become a guest here [https://www.breakingmath.io/contact]
email: breakingmathpodcast@gmail.com
In this conversation, Autumn and Dr. Anthony Bonato explore the fascinating world of networks, discussing their significance in various fields, including mathematics, social interactions, and even the spread of diseases like COVID-19 in his new book Dots and Lines. Anthony shares his journey into network science, the importance of understanding networks in everyday life, and how they can reveal hidden connections. The discussion also touches on popular culture references, such as Game of Thrones and Survivor, to illustrate the practical applications of network theory. Ultimately, the conversation emphasizes the need to embrace mathematics and recognize the pervasive role of networks in our lives.
Takeaways
* Networks are fundamental to understanding complex systems.
* The COVID-19 pandemic highlighted the importance of network science.
* Mathematics encompasses more than just numbers and shapes.
* Personal experiences can lead to profound realizations about networks.
* Everyday life is filled with examples of networks in action.
* Game of Thrones and Survivor serve as engaging examples of network analysis.
* The Bacon number illustrates connections in Hollywood.
* Erdős number connects mathematicians through collaboration.
Chapters
* 00:00 The Inspiration Behind the Book
* 03:38 Understanding Networks: A New Perspective
* 06:13 Networks in Everyday Life
* 08:28 The Power of Networks in Society
* 11:03 Real-World Applications of Network Science
* 13:32 Pop Culture and Network Analysis
* 15:38 The Bacon Number and Network Connections
* 21:53 The Bacon Number and Small World Phenomenon
* 26:34 Network Embeddings and Their Applications
* 31:04 Graph Theory: Patterns and Connections
* 35:11 The Importance of Mathematics in Everyday Life
* 36:57 Introduction and Curiosity in Connections
Follow Anthony on Twitter [https://x.com/Anthony_Bonato/], and on his Website [https://t.co/W1x1ZB1ChX]Subscribe to Breaking Math wherever you get your podcasts.
Become a patron of Breaking Math [https://www.patreon.com/breakingmath] for as little as a buck a month
Follow Breaking Math on Twitter [https://x.com/breakingmathpod], Instagram [https://www.instagram.com/breakingmathmedia/], LinkedIn [https://www.linkedin.com/company/breaking-math/], Website [https://breakingmath.io/], YouTube [https://www.youtube.com/@BreakingMathPod], TikTok [https://www.tiktok.com/@breakingmathmedia]
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Become a guest here [https://www.breakingmath.io/contact]
email: breakingmathpodcast@gmail.com
In this episode of Breaking Math, Dr. Noah Giansiracusa discusses his book 'Robin Hood Math', emphasizing the importance of mathematical literacy in navigating an algorithm-driven world. He explores how math can empower everyday people, the writing process behind his book, and practical applications of math in daily life, including social media algorithms and financial decisions. The conversation highlights the simplicity of the math that truly matters and encourages listeners to reclaim agency through understanding mathematics.
Takeaways
* Math is a powerful tool that can empower individuals.
* The concept of Robin Hood Math aims to redistribute mathematical knowledge.
* Mathematical literacy is becoming as essential as reading.
* Algorithms are deeply embedded in our daily lives, influencing decisions.
* Understanding expected value can improve decision-making.
* Averaging guesses can lead to better predictions.
* Social media algorithms prioritize engagement, affecting content visibility.
* Credit scores are calculated using weighted sums of various factors.
* Many important mathematical concepts are simpler than they appear.
* Mathematical literacy can help close equity gaps in society.
Chapters
* 00:00 Monetizing Social Media for Educators
* 02:25 The Birth of Robin Hood Math
* 05:18 Empowering the Everyday Person with Math
* 08:01 The Writing Process and Surprising Discoveries
* 10:37 Practical Math Lessons for Everyday Life
* 13:22 Understanding Algorithms in Social Media
* 21:56 Understanding Engagement Algorithms
* 24:28 The Impact of Mathematics on Financial Decisions
* 29:54 Empowering Through Mathematical Literacy
* 32:23 Exploring Key Themes in Mathematics
Follow Noah on Twitter [https://x.com/ProfNoahGian], BlueSky [https://bsky.app/profile/profnoahgian.bsky.social], Instagram [https://www.instagram.com/profnoahgian/], LinkedIn [https://www.linkedin.com/in/noah-giansiracusa-a316a4315/] and on his Website [https://www.noahgian.com/]
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email: breakingmathpodcast@gmail.com
In this conversation, Dr. Christoph Bartneck discusses the intersection of swimming and computer science, exploring how mathematical patterns can enhance swim training. He introduces the concept of a formal swim markup language to improve data exchange and training efficiency. The discussion also delves into the visualization of swimming techniques, the importance of mental engagement in training, and the aesthetic appeal of mathematics. Christoph shares insights on the challenges of writing his book and his vision for creating a global community around swimming and mathematics.
Takeaways
* Programming languages can optimize swim training.
* There's a gap in literature between math and sports science.
* Data exchange in swimming training is challenging.
* Visualizing swimming techniques aids in understanding.
* Mathematical patterns can enhance training routines.
* Repetitive tasks in swimming can be likened to repetitive songs.
* Engagement in training is crucial for success.
*
Chapters
* 00:00 The Motivation Behind Swim Training Patterns
* 02:32 Intersection of Swimming and Computer Science
* 05:56 Challenges in Measuring and Documenting Swim Performance
* 09:32 The Role of Patterns in Swim Training
* 11:54 Mathematical Patterns and Their Application in Swimming
* 15:14 Exploring Repetitiveness in Music and Swim Training
* 18:08 Art Projects and Mathematical Patterns
* 21:13 Fermat's Theorem and Impossible Squares
* 23:14 Making Math Accessible in Swim Training
* 26:40 The Importance of a Shared Language in Coaching
* 27:35 Applying Pattern-Based Approaches to Sports
* 29:17 The Role of Structure in Training Across Sports
* 30:02 Current Use of Frameworks in Elite Swimming
* 30:10 Innovative Training Philosophies in Swimming
* 32:30 Programming Languages and Their Applications in Sports Science
* 34:56 The Joy of Writing and Creating
* 38:59 Challenges in Writing and Communicating Mathematical Concepts
* 41:37 The Journey of a Book and Community Engagement
Follow Christoph on his YouTube Channel and on bartneck.de.
Subscribe to Breaking Math wherever you get your podcasts.
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Become a guest here [https://www.breakingmath.io/contact]
email: breakingmathpodcast@gmail.com
In this episode of Breaking Math, Autumn explores the complex world of AI ethics, focusing on its implications in education, the accuracy of AI systems, the biases inherent in algorithms, and the challenges of data privacy. The discussion emphasizes the importance of ethical considerations in mathematics and computer science, advocating for transparency and accountability in AI systems. Autumn also highlights the role of mathematicians in addressing these ethical dilemmas and the need for society to engage critically with AI technologies.
Takeaways
* AI systems can misinterpret student behavior, leading to false accusations.
* Bias in AI reflects historical prejudices encoded in data.
* Predictive analytics can help identify at-risk students but may alter their outcomes.
* Anonymization of data is often ineffective in protecting privacy.
* Differential privacy offers a way to share data while safeguarding individual identities.
* Ethics should be a core component of algorithm design.
* The impact of biased algorithms can accumulate over time.
* Mathematicians must understand both technical and human aspects of AI.
* Society must question the values embedded in AI systems.
* Small changes in initial conditions can lead to vastly different outcomes.
Chapters
* 00:00 Introduction to AI Ethics
* 02:14 The Accuracy and Implications of AI in Education
* 04:14 Bias in AI and Its Consequences
* 05:45 Data Privacy Challenges in AI
* 06:37 Mathematical Solutions for Ethical AI
* 08:04 The Role of Mathematicians in AI Ethics
* 09:42 The Future of AI and Ethical Considerations
Subscribe to Breaking Math wherever you get your podcasts.
Become a patron of Breaking Math [https://www.patreon.com/breakingmath] for as little as a buck a month
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email: breakingmathpodcast@gmail.com
In this episode, we explore the intricate mathematics behind Sp0tify's (ok... and other's) shuffle feature, revealing how it is designed to feel random while actually being carefully curated. We discuss the psychological implications of randomness, the Fisher-Yates shuffle algorithm, and how engineers have created a system that respects human perception of randomness. The conversation delves into the philosophical aspects of curated randomness and the broader implications of mathematical principles in technology and human experience.
Takeaways
* The shuffle feature is not truly random.
* Humans struggle to recognize true randomness due to cognitive biases.
* The Fisher-Yates shuffle algorithm is a standard for randomization.
* Uses psychological techniques to enhance user satisfaction with shuffle.
* Dithering is a method used to create a perception of randomness.
* Shuffle feature analyzes multiple dimensions to optimize song selection.
* The algorithm incorporates noise to maintain unpredictability.
* Curated randomness is prevalent in various technologies beyond music.
* Humans prefer sequences with fewer clusters to feel more random.
* Mathematics can reveal insights into human behavior and preferences.
Chapters
00:00 The Hidden Mathematics of Spotify Shuffle
05:56 The Art of Psychological Randomness
07:58 Philosophical Implications of Curated Randomness
Subscribe to Breaking Math wherever you get your podcasts.
Become a patron of Breaking Math [https://www.patreon.com/breakingmath] for as little as a buck a month
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email: breakingmathpodcast@gmail.com
This conversation explores the intricate relationship between mathematics and artificial intelligence (AI) for people who don't want to get too math heavy and want things simplified as much as possible. It delves into how algorithms, machine learning, and various mathematical tools like linear algebra, calculus, and statistics form the backbone of AI technologies. The discussion highlights real-world applications of AI, the ethical implications of its use, and the importance of mathematical literacy in an increasingly AI-driven world. Ultimately, it emphasizes that understanding the mathematical foundations of AI empowers individuals to engage meaningfully with technology and its impact on society.
Takeaways:
* Mathematics powers seemingly magical technologies like AI.
* Algorithms are sets of instructions that guide AI processes.
* Machine learning finds patterns in data through trial and error.
* Linear algebra organizes data into vectors and matrices.
* Calculus helps AI find optimal solutions to problems.
* Probability theory allows AI to express uncertainty in predictions.
* AI applications include medical diagnostics and financial algorithms.
* Self-driving cars use mathematics to navigate and make decisions.
* Mathematical literacy is crucial in an AI-driven world.
* Understanding AI's math gives individuals agency in technology.
Chapters:
00:00 The Mathematical Heart of AI
03:28 Mathematics in Action: Real-World Applications
05:33 Empowerment Through Understanding Mathematics
Subscribe to Breaking Math wherever you get your podcasts.
Become a patron of Breaking Math [https://www.patreon.com/breakingmath] for as little as a buck a month
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email: breakingmathpodcast@gmail.com
This conversation delves into the intersection of quantum computing and cryptography, focusing on the implications of quantum computers for current encryption methods and the necessity for post-quantum cryptography. Dr. Dustin Moody from NIST discusses the threats posed by quantum computing, particularly through Shor's algorithm, and the ongoing efforts to develop new cryptographic standards that can withstand these threats. The discussion also covers the role of NIST in standardizing post-quantum algorithms, the mathematical challenges involved, and the importance of preparing businesses for the transition to these new systems.
All opinions are of the individual scientist and do not reflect the opinions of NIST or the federal Government.
Takeaways
* Quantum computers harness principles of quantum physics for computation.
* Shor's algorithm can efficiently factor large numbers, threatening RSA encryption.
* Post-quantum cryptography aims to develop algorithms resistant to quantum attacks.
* NIST is leading the effort to standardize post-quantum cryptographic algorithms.
* Lattice-based algorithms are promising for post-quantum cryptography due to their efficiency.
* Businesses must be proactive in transitioning to post-quantum cryptography.
* The Harvest Now, Decrypt Later threat highlights the urgency of transitioning.
* Quantum key distribution offers theoretically perfect security.
* Different cryptographic algorithms are needed for various applications and devices.
* The future of cryptography will rely on new mathematical challenges to ensure security.
Keywords
quantum computing, cryptography, post-quantum cryptography, NIST, cybersecurity, Shor's algorithm, digital signatures, lattice-based algorithms, encryption, quantum threats
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email: breakingmathpodcast@gmail.com
In this episode, Autumn interviews Dr. Ileana Pazos, an expert in dosimetry, discussing the critical role of radiation measurement in various industries, including healthcare and food safety. They explore the science behind dosimetry, the applications of radiation, the challenges faced in accurate measurements, and the misconceptions surrounding food irradiation. Ileana emphasizes the importance of public education and the need for global standards in radiation measurement, while also sharing her personal connection to the field and the future of radiation technologies.
All opinions are of the individual scientist and do not reflect the opinions of NIST or the federal Government.
Subscribe to Breaking Math wherever you get your podcasts.
Become a patron of Breaking Math [https://www.patreon.com/breakingmath] for as little as a buck a month
Follow Breaking Math on Twitter [https://x.com/breakingmathpod], Instagram [https://www.instagram.com/breakingmathmedia/], LinkedIn [https://www.linkedin.com/company/breaking-math/], Website [https://breakingmath.io/], YouTube [https://www.youtube.com/@BreakingMathPod], TikTok [https://www.tiktok.com/@breakingmathmedia]
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email: breakingmathpodcast@gmail.com
In this conversation, Dr. Elizabeth Strychalski discusses the fascinating field of synthetic biology, particularly focusing on synthetic cells. She shares her journey into this research area, the challenges of defining life, and the ethical considerations surrounding synthetic biology. The conversation also explores the potential applications of synthetic cells in environmental science and medicine, as well as the importance of engineering standards and biomanufacturing for sustainability. Dr. Strychalski emphasizes the need for collaboration and communication in the scientific community to advance this field responsibly and effectively.
All opinions are of the individual scientist and do not reflect the opinions of NIST or the federal Government.
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In this episode of Breaking Math, hosts Autumn and Gabriel explore the innovative intersections of fire science and technology with experts Amy Mensch and Ryan Falkenstein-Smith who work at NIST. They discuss the groundbreaking photoacoustic technique for measuring soot deposition, its applications in fire safety and forensic investigations, and the broader implications for fire research. The conversation highlights the importance of integrating advanced technologies into firefighting and the potential for future developments in the field.
You can learn more about Time at time.gov and NIST at nist.gov.
All opinions are of the individual scientist and do not reflect the opinions of NIST or the federal Government.
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In this episode of Breaking Math, Autumn and Andrew Novick delve into the intricate world of timekeeping, exploring the significance of precise time measurement in modern technology. They discuss the evolution from traditional atomic clocks to cutting-edge optical clocks, the critical role of time in various industries, and the implications of time on fundamental physics, including Einstein's theories. The conversation also touches on the quirky concept of leap seconds and the future advancements in timekeeping technology, emphasizing the relative nature of time and its perception.
You can learn more about Time at time.gov and NIST at nist.gov.
All opinions are of the individual scientist and do not reflect the opinions of NIST or the federal Government.
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Summary
This episode of Breaking Math explores the fundamental concept of measurement, its importance in daily life, and the necessity for standardized units. The discussion highlights the role of the International System of Units (SI) and the National Institute of Standards and Technology (NIST) in maintaining measurement accuracy. It also touches on historical measurement failures and the evolution of measurement definitions, emphasizing the future of measurement in technology and science.
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In this episode, Dr. Destine Nock, CEO of Peoples Energy Analytics and a Professor at Carnegie Mellon University, joins Autumn to dive deep into the world of energy equity. They explore how cutting-edge data analytics are revolutionizing the landscape of affordable energy access. As the global demand for sustainable energy solutions continues to grow, the need to ensure fair and inclusive energy distribution becomes more critical than ever. Together, our hosts break down how data-driven insights are being leveraged to develop and implement policies that make energy more accessible to underserved communities, tearing down socioeconomic barriers and paving the way for a more equitable future.
Dr. Nock and Autumn discuss the powerful role that advanced analytics play in everything from analyzing consumption patterns to optimizing renewable energy distribution. They explore real-world case studies, highlight key initiatives, and speak with experts who are at the forefront of these transformative efforts. By the end of this episode, you'll understand how strategic use of data can drive lasting change and help us build a world where energy is not a privilege but a right accessible to all.
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Follow Dr. Destenie Nock on LinkedIn [https://www.linkedin.com/in/desdes/] and on her website [https://destenienock5.wixsite.com/destenienock]. Check out Peoples Energy Analytics [https://www.peoplesenergyanalytics.com/] as well.
Follow Breaking Math on Twitter [https://x.com/breakingmathpod], Instagram [https://www.instagram.com/breakingmathmedia/], LinkedIn [https://www.linkedin.com/company/breaking-math/], Website [https://breakingmath.io/], YouTube [https://www.youtube.com/@BreakingMathPod], TikTok [https://www.tiktok.com/@breakingmathmedia]
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In this captivating episode of Breaking Math, hosts Gabriel and Autumn dive deep into chaos theory—a fascinating branch of mathematics that explores the behavior of complex systems highly sensitive to initial conditions. They break down the butterfly effect, revealing how tiny variations can lead to major consequences and discuss the inherent unpredictability in weather forecasting and the financial markets. The episode also uncovers chaos theory's influence on human physiology, such as heart rate variability, and the mathematical beauty of fractals. Additionally, the hosts explore philosophical viewpoints, emphasizing how accepting life's uncertainties can foster adaptability and resilience.
Key Takeaways:
Chaos Theory: Small actions can trigger significant outcomes, impacting everything from nature to human-made systems.
Butterfly Effect: Demonstrates how tiny differences in initial conditions can lead to vastly different outcomes.
Weather Forecasting: An excellent real-world illustration of chaos theory, showing how unpredictable weather can be.
Financial Markets: A reminder of the chaotic, complex forces that drive economic shifts and unpredictability.
Human Physiology: Chaos theory sheds light on natural processes, like the variability of heart rhythms.
Fractals: These intricate patterns showcase self-similarity and are visually striking examples of chaos in nature.
Philosophical Implications: Embracing chaos and uncertainty equips us to be more adaptable and creative.
Life's Unpredictability: A reflection of chaotic systems, reminding us to value flexibility. Interconnectedness: Understanding chaos theory enhances our appreciation of how interwoven our world truly is.
Keywords: Chaos Theory, Butterfly Effect, Weather Forecasting, Economics, Fractals, Unpredictability, Complex Systems, Human Physiology, Philosophical Implications, Adaptability.
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In this episode of Breaking Math, we dive deep into the transformative power of large language models (LLMs) like GPT-4 in the fields of chemistry and materials science, based on the article "14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon" by Jablonka et al. from the Digital Discovery Journal. Discover how AI is revolutionizing scientific research with predictive modeling, lab automation, natural language interfaces, and data extraction from research papers. We explore how these models are streamlining workflows, accelerating discovery, and even reshaping education with personalized AI tutors.
Tune in to learn about real-world examples from a hackathon where scientists used LLMs to tackle some of the most pressing challenges in materials science and chemistry—and what this means for the future of scientific innovation.
Keywords: GPT-4, large language models, AI in chemistry, AI in materials science, predictive modeling, lab automation, AI in education, natural language processing, LLM hackathon, scientific research, molecular properties, Digital Discovery Journal, Jablonka
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In this episode of Breaking Math, we explore the unexpected link between sheep herding and fluid dynamics! Did you know that the way sheep move in a herd is governed by the same mathematical principles as water flowing in a river? By following simple rules of alignment, cohesion, and separation, sheep create a coordinated, fluid-like movement that scientists can model to predict behavior.
Join us as we break down how these principles apply not only to animal herds but also to real-world applications like robotics, autonomous vehicles, and crowd management. Whether you're a math lover, curious about animal behavior, or fascinated by the science behind traffic flow, this episode reveals the incredible power of mathematics in nature. Don't forget to subscribe for more insights into the surprising connections between math and the world around us!
Timestamps:
00:00 - Introduction to Sheep Herding and Fluid Dynamics
02:15 - What is Fluid Dynamics?
06:30 - How Sheep Behave Like Particles in a Fluid
10:45 - Mathematical Models of Herding Behavior
16:20 - Real-world Applications: From Farming to Robotics
20:55 - Conclusion & Key Takeaways
Tags: #BreakingMath #FluidDynamics #AnimalBehavior #MathInNature #SheepHerding #Robotics #ScienceExplained #EmergentBehavior
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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 Gabriel Hesch, an electrical engineer (host from 2016-2024) with a passion for mathematical clarity, the show is dedicated to uncovering the mathematical structures behind science, engineering, technology, and the systems that shape 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—whether it’s into the strange beauty of chaos theory, the ethical dilemmas of AI, the deep structures of biological evolution, or the thermodynamics of black holes. Along the way, Autumn and Gabriel interview leading thinkers and working scientists from across the spectrum: computer scientists, quantum physicists, chemists, philosophers, neuroscientists, and more.
But this isn’t just a podcast about equations—it’s a show about how mathematics influences the way we think, create, build, and understand. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, 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?
* How do we quantify uncertainty in climate models?
* Can consciousness be described in AI?
* Why does beauty matter in an equation?
Then you’re in the right place.
At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between the abstract world of mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Gabriel 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
Email: breakingmathpodcast@gmail.com
