Lex Fridman PodcastJed Buchwald: Isaac Newton and the Philosophy of Science | Lex Fridman Podcast #214
CHAPTERS
- 0:00 – 0:30
Jed Buchwald’s background: history, philosophy of science, and instruments
Lex introduces Jed Buchwald as a Caltech professor who studies the development of scientific concepts and the instruments that make new effects observable. The framing sets up the episode as both history-of-science and philosophy-of-science, with Newton as a central case study.
- •Buchwald’s focus: scientific concepts, experimental practice, and instruments
- •Positioning the conversation at the intersection of history and philosophy of science
- •Preview that Newton will be a major thread throughout
- 0:30 – 4:33
Paradigm shifts vs gradual progress: Kuhn’s model and Buchwald’s critique
Buchwald, who worked closely with Thomas Kuhn, explains Kuhn’s paradigm/anomaly/revolution picture and then argues real scientific change is usually messier. He accepts that major shifts exist but rejects the idea that they occur neatly as direct responses to anomalies.
- •Kuhn’s view: communities solve puzzles within paradigms until anomalies force change
- •Buchwald’s disagreement: change is real but rarely clean or singularly triggered
- •Scientific work as craft-like practice, adaptable rather than brittle
- •Shifts often driven by new capabilities, not just failed explanations
- 4:33 – 7:53
Wave optics vs Newtonian particles: progress through generating new tools and effects
Using the history of wave theory of light, Buchwald argues progress often comes from frameworks that enable new mathematics, experiments, and devices. Fresnel’s calculus-based wave optics didn’t just ‘explain diffraction’; it opened a productive research program (e.g., polarization devices) that the Newtonian framework could only accommodate after the fact.
- •Newtonian corpuscular optics vs wave optics in France/England
- •Diffraction as a key episode, but not a simple ‘failure’ story
- •Fresnel’s mathematics enabled computations tightly coupled to observation
- •Progress as the ability to generate novelty (devices/phenomena), not only to explain
- 7:53 – 12:44
Lone geniuses vs community dynamics: Galileo, Descartes, and Huygens
Lex presses on the popular narrative of lone geniuses, and Buchwald responds with a more nuanced view: key individuals matter, but broader context and uptake by others are crucial. The discussion uses Galileo’s motion, Descartes’ skepticism about Galileo, and Huygens’ productive use of Galilean relations as examples.
- •Breakthroughs often have 1–3 central figures, but are rarely solely individual achievements
- •Counterfactuals (no Galileo/Newton) likely change timing and form, not the possibility of progress
- •Huygens as a major 17th-century scientist and engineer (pendulum clock, optics)
- •Scientific ideas spread because they enable new things others can do
- 12:44 – 23:33
Where are we on the arc of science? Anti-realism, limits of physics, and ‘Theory of Everything’
Buchwald answers Lex’s big-picture question by emphasizing that our access to nature is mediated by instruments and practices, making him wary of strong realism. He doubts physics will continue indefinitely via ever-larger accelerators and questions whether a ‘deep theory’ straightforwardly explains higher-level domains like chemistry and life.
- •Buchwald’s stance: not a fundamental realist; knowledge is mediated by tools and practices
- •Standard Model’s success acknowledged without assuming it exhausts ‘reality’
- •Skepticism about a single deep theory scaling cleanly to chemistry/complex systems
- •Historical note: the ‘deep explanatory theory’ ideal crystallizes strongly in the late 19th century
- 23:33 – 28:35
Experiment as manipulation: from alchemical probing to modern experimental science
The conversation reframes experimentation as deliberate manipulation—doing ‘unnatural’ things to matter in devices—and then defending that results aren’t mere artifacts. Buchwald traces this attitude to early modern periods, arguing it wasn’t widely accepted until roughly the 1500s, with important roots in alchemical practice.
- •Experimental science as engineered manipulation, not passive observation
- •The challenge: proving results aren’t artifacts of apparatus
- •Historical emergence of ‘probe nature with devices’ as a credible epistemic strategy
- •Link to early alchemists as pioneers of manipulative inquiry
- 28:35 – 32:12
Can we know objective reality? Kant, perception, and the ‘PDF on a screen’ analogy
Buchwald uses perception-based examples (dragonfly vision; PDFs as light patterns on screens) to argue that what we experience is a constructed interface, even when instrument-mediated. The implication is a persistent gap between formal/mathematical control and any final claim to ‘things-in-themselves.’
- •Observer-dependent perception complicates claims of direct access to reality
- •Instruments extend perception but still feed into human perceptual processing
- •‘Paper on a screen’ as a constructed interface analogy for scientific observation
- •Philosophical lineage: Kant-like skepticism about ultimate knowability
- 32:12 – 39:52
Consciousness and materialism: what neuroscience can (and can’t) bridge
Pressed on whether science can reach everything, Buchwald affirms a deep materialism but hesitates about mapping brain activity to subjective experience. Lex floats alternatives (panpsychism-like ideas, consciousness as a fundamental law), while Buchwald holds that consciousness likely arises from organization of material systems, though experience remains conceptually distinct from measurement.
- •Materialism: consciousness as emergent from organized matter
- •Neuroscience may correlate patterns with experiences, but correlation isn’t identity
- •Limits of inference: we generalize consciousness from our own inner sense
- •Lex’s counter-possibilities: consciousness as pervasive or law-like
- 39:52 – 45:34
Beautiful scientific moments: Newton’s prism experiments and manipulative genius
Buchwald highlights Newton’s prism work as a moment combining conceptual insight with hands-on experimental cunning. Newton abstracted away from ‘colors’ to geometric expectations, noticed the unexpected elongated image, and exploited a mathematical insight about where the image moves slowest—despite crude apparatus and hand-held alignment.
- •Prevailing view: colors as modifications of white light, not inherent components
- •Newton’s key observation: predicted circle becomes elongated spectrum image
- •Technique: ‘twiddling’ the prism to exploit minimal image motion near a critical angle
- •Hooke controversy: disputes over credit and interpretation in early Royal Society science
- 45:34 – 1:02:48
Who Newton was: childhood, temperament, Cambridge, and early intellectual formation
Buchwald sketches Newton’s life: early family trauma, solitary disposition, and rise from subsizar at Cambridge to intellectual prominence. He emphasizes Newton’s hands-on tinkering as a child and the way student notebooks reveal a mind shifting from scholastic curricula toward new mechanical and perceptual ideas.
- •Newton’s early life: absent father, resentment over mother’s remarriage
- •Practical ingenuity and making devices as a child
- •Cambridge path: subsizar status and rapid ascent through recognized talent
- •Student notebooks as primary evidence of evolving thought
- 1:02:48 – 1:16:14
From scholastic qualities to modern perception: why distrust of the senses mattered
Buchwald explains a major conceptual break: medieval/Aristotelian ‘qualities in the world’ vs early modern views that many qualities (color, sound, smell) are in the perceiver. Newton absorbs this Cartesian-era shift and it shapes his later skepticism of sensory evidence and his reliance on controlled experiments and instruments.
- •Older view: senses (when functioning) deliver real world-qualities directly
- •Early modern break (visible in Descartes): qualities as perceptual artifacts; world as shapes/motions
- •Newton’s uptake: skepticism of sensory evidence supports instrument-driven inquiry
- •Hooke/Hevelius episode: measuring visual acuity and why ‘being right’ can still be about the wrong observable
- 1:16:14 – 1:29:52
Calculus origins and the Newton–Leibniz dispute: invention, notation, and credit
Buchwald outlines calculus as a toolkit for continuous change and explains Newton’s route via generalizing expansions (binomial theorem) and linking tangents and areas. He contrasts Newton’s fluxions/dot notation with Leibniz’s notation (dominant today) and discusses the enduring controversy over independence, including debates among historians.
- •Calculus as techniques for continuous functions: tangents, areas, rates of change
- •Newton’s development: expansions → binomial theorem → reciprocal link between differentiation/integration
- •Newton’s dot notation and ‘fluxions’ vs Leibniz’s differential notation
- •Priority dispute politics: Royal Society attacks, ongoing scholarly disagreement
- 1:29:52 – 1:36:23
Competition and conflict in science: from Newton’s feuds to Arago–Biot–Fresnel
Buchwald argues competition is usually productive even when personally painful, and situates early modern disputes within emerging scientific norms. He then tells the Arago–Biot rivalry story, showing how ego and institutional power shaped research directions—and how Fresnel’s wave optics was propelled (and weaponized) in that context.
- •Scientific conflict as a driver: ‘muscled into my area’ dynamics
- •Early science norms evolving away from direct personal violence toward procedural disputes
- •Arago vs Biot: credit, rivalry, and polarization research
- •Fresnel’s productivity amplified by Arago’s strategic push against Biot—despite Fresnel’s reluctance
- 1:36:23 – 1:40:26
What counts as ‘data’? Measurement, statistics, and pre-modern experimental credibility
Buchwald challenges the idea of a single ‘scientific method’ and reframes science as building manipulable artificial systems that reliably produce effects. He then explains that modern statistical ideas (averaging, error) weren’t standard in Newton’s time; figures like Huygens often reported a single ‘best’ measurement rather than an average, because that was seen as competence.
- •Skepticism about the phrase ‘scientific method’; focus on practice and device-building
- •Modern ‘data’ implies statistical frameworks that matured in the mid–late 18th century
- •Huygens example: many measurements taken, but one chosen as ‘most confident’ for publication
- •Cultural shift: averaging once signaled uncertainty rather than rigor
- 1:40:26 – 1:43:35
Alchemy’s real legacy: apparatus, recipes, and Newton’s extensive chymistry work
Buchwald describes alchemy as a serious, apparatus-driven program aimed at transforming materials, generating practical knowledge of amalgams and decomposition. He notes that many ‘mystical’ texts encode operational recipes, and that Newton spent vast effort on chymistry—arguably more than on mechanics during parts of the 1670s.
- •Alchemy as chrysopoieia: transforming low-value to high-value materials
- •Technical legacy: glassware, furnaces, controlled heating, and recorded procedures
- •‘Symbolic’ language often encodes real chemical operations
- •Newton’s time allocation: heavy chymistry work, alongside optics, during key years
- 1:43:35 – 1:52:16
Newton’s religion, then Newton meets the future: Einstein, technology, and the scale of change
Buchwald portrays Newton as deeply religious (including anti-Trinitarian views and young-Earth chronology), with belief in a rational rule-maker reinforcing confidence that nature is lawful. He then answers what Newton would make of Einstein: without gradual acclimation through centuries of devices, concepts, and mathematics, Newton would be overwhelmed—highlighting how much science changed between them and why ‘miracle years’ (Newton 1666, Einstein 1905) still rest on deep precedent.
- •Religion in Newton’s worldview: lawful creation, limited miracles, anti-Trinitarian theology
- •Belief in non-arbitrary rules supporting the search for mathematical lawfulness in nature
- •‘Show him the railroad first’: technology and practice as prerequisites for conceptual leaps
- •From Newton to Einstein: huge intervening advances in math, instruments, institutions, and experimentation
