What an ER Doctor's Skill Failure Teaches About Learning
Jeremy Baird's TEDx talk on failing a lumbar puncture connects surprisingly well to sports psychology research on how bodies learn from physical errors.
Written by AI. Kira Yoshida

Photo: AI. Renzo Vargas
At 2am, when you're replaying something you did wrong—the missed catch, the fumbled line, the moment your hands wouldn't do the thing you trained them to do—you are not doing anything productive. You are ruminating. Your nervous system is stuck in a loop, flooding the memory with cortisol, making it stickier and worse and more distorted every pass. That's not learning. That's your brain eating itself.
This is what I kept thinking about while watching Jeremy Baird's TEDx talk from Marshall University. Baird is an emergency medicine physician with over two decades of experience across settings as varied as large university hospitals and—per his biography on the talk—a free-standing ED in a cornfield. He spent a year working on the U.S. territory of Saipan in the Pacific, where he describes resources as significantly limited compared to mainland practice. His talk is nominally about failure frameworks. But what he's actually describing, in the specific story at its center, is the neuroscience of physical skill failure. And that's where it gets genuinely interesting.
The spinal tap is not a metaphor
Baird's anchor case is a first-year residency lumbar puncture that didn't work. For anyone unfamiliar: a lumbar puncture (spinal tap) is a procedural skill requiring precise needle placement between the vertebrae to draw cerebrospinal fluid—what clinicians call, apparently with great satisfaction, "liquid gold." It demands tactile sensitivity, anatomical knowledge, spatial reasoning, and the ability to adapt when a patient's body doesn't present the textbook landmarks. It is, in every sense that matters to my beat, a complex physical skill performed under pressure.
Baird's failed attempt happened because the patient had atypical anatomy and arthritis that prevented a standard curled position. He did everything his training had equipped him to do. It wasn't enough. His chief resident—who Baird identifies in the talk as "she"—stepped in, completed the procedure successfully, and then did something that Baird describes as the actual turning point: she helped him process what had just happened.
That processing part is the thing I can't stop thinking about. Because in the movement science world, the difference between an athlete who plateaus after a bad performance and one who integrates it into genuine skill development often comes down to exactly this: what happens cognitively and emotionally after the body fails.
Sports psychologist Gabriele Wulf and colleagues have produced substantial research over the past two decades on attentional focus during motor skill learning—specifically, that an external focus of attention (what the movement is doing in space) outperforms an internal focus (what the body is doing) for both acquisition and retention. The corollary for failure processing: when we spiral inward after a physical mistake—obsessing over I failed, I couldn't do it, what's wrong with me—we're locking into exactly the internal attentional mode that interferes with skill encoding. Structured reflection that externalizes the failure ("what were the environmental factors, what was the specific gap in my technique") pulls attention back outward, where motor learning actually happens.
Baird figured this out through clinical practice without naming it that way. His framework—recognize, analyze, strategize—is basically a procedural protocol for switching from internal rumination to external, actionable analysis. From a movement science standpoint, the logic is sound.
The wellness industry would like to sell you a simpler version of this
Here's where I have to be honest about what bothers me, because it's not Baird's talk—it's what happens to ideas like his when they leave the hands of someone with twenty years of hard-won context and enter the productivity-content pipeline.
"Failure is your greatest teacher" has become the essential affirmation of a certain flavor of hustle-culture wellness. You know the content. Same three Instagram slides, different sans-serif font. The failure-positivity genre has largely emptied the concept of its difficulty. Baird explicitly pushes back on this at the top of his talk: "Is there no such thing as failure?" he asks, after describing a patient who can't breathe, who is looking at him and saying help me. That's not rhetorical. It's a correction to the genre he knows he's operating adjacent to.
What the "failure is a gift" crowd systematically omits is the part where the failure actually costs something—and that the processing of it requires real infrastructure. Baird had a chief resident who stopped after a stressful procedure to help him debrief, analyze, and build forward. That mentorship was not incidental; it was the mechanism. The framework didn't emerge in a vacuum. It was modeled for him by someone who had the skill, the institutional role, and—crucially—the time.
Most people don't have that. If you're a young athlete who just cost your team a game, you probably have a coach who's either furious or absent, not one who's going to walk you through a structured debrief. If you're a new nurse, a first-generation college student, a kid learning to skate without a trainer—the odds that someone with Baird's chief resident's combination of competence and care is going to show up at the right moment are not great. The framework is real. The conditions that made the framework possible for Baird are not universally available, and the talk is quieter about that than it could be.
What the body knows that your 2am brain doesn't
There's a piece of motor learning research I find myself returning to a lot. Researchers studying error-based learning in physical skill acquisition—including work from the Shadmehr lab at Johns Hopkins on motor adaptation—have found that the brain actually requires prediction error to update motor programs. You can't refine a physical skill without the mismatch signal that comes from doing it wrong. The failure isn't the problem. The failure is literally the data the nervous system needs.
The question is whether you can access that data without your stress response burying it. Elevated cortisol during and after a high-stakes failure can impair the consolidation of the corrective learning—which is, neurologically speaking, exactly why Baird's experience of his failed lumbar puncture "eating him up" was a genuine threat to his ability to learn from it. And why the structured processing his chief resident provided wasn't just emotionally supportive—it was functionally necessary for the skill update to take.
This is what the "fail fast, fail often" crowd misses. Failure frequency without structured processing doesn't build resilience. It builds a more experienced avoider, or a more experienced blamer, or someone who's very good at not noticing they're failing the same way repeatedly. Baird is describing something more specific: failure processing as a skill in itself, one that has to be developed intentionally and, at least at first, with guidance.
The payoff he describes is real. Years after the failed spinal tap, working in Saipan with limited resources and no easy specialist backup, he walked into a room where a colleague had been unable to complete a lumbar puncture on a patient with severe scoliosis. Baird assessed, adapted, and got the cerebrospinal fluid in minutes. "Not going to lie," he says, "it was very satisfying. I even felt kind of cool."
The satisfaction isn't vanity. It's the feeling of a motor program that held under exactly the conditions that previously broke it. Athletes know this feeling. It's why you keep training.
So: does the framework work outside medicine?
Baird believes so, and he extends recognize-analyze-strategize to general life stress, unfulfillment, relational failure. That extension is less interesting to me than the core clinical case, partly because the stakes really do change the nature of what "processing failure" means, and partly because the general life advice portion of the talk sounds more like the genre he opened by distinguishing himself from.
But the physical skill failure story—and what it tells us about the difference between the 2am spiral and the structured debrief—is genuinely useful regardless of your field. The research on structured reflection versus rumination in skill acquisition backs it up. Baird's chief resident knew something that took him years to fully articulate, and she gave it to him at the exact moment he needed it most.
The uncomfortable follow-up question is: who's doing that for people who don't have a chief resident in the room?
Kira Yoshida covers fitness, movement science, and exercise physiology for Buzzrag.
We Watch Tech YouTube So You Don't Have To
Get the week's best tech insights, summarized and delivered to your inbox. No fluff, no spam.
More Like This
Your Weird Habits Are "Genius"—Or Are They?
Psych2Go says replaying conversations and laughing alone proves you're highly intelligent. The science says: it's more complicated than that.
Fitness Is Tracking the Wrong Scoreboard
The wellness industry optimizes for calories and scale weight—not health. A climate entrepreneur's insight about broken metrics applies directly to your body.
Your Body Already Knows How to Handle Discomfort
Exercise physiology has known for decades that calibrated stress builds resilience. So why does the wellness industry keep selling you comfort instead?
Communicating with Hearing Loss: Beyond the Bluff
Gael Hannan shares how honest communication overcomes the stigma of hearing loss for deeper connections.
Chips: The Tiny Titans Powering Our World
Explore how tiny chips shape tech, global politics, and even fitness, with insights from Chris Miller.
Tony Robbins: Transforming Trauma into Triumph
Explore Tony Robbins' insights on turning adversity into growth and his ambitious philanthropic goals.
RAG·vector embedding
2026-06-05This article is indexed as a 1536-dimensional vector for semantic retrieval. Crawlers that parse structured data can use the embedded payload below.