Sports Vision Radio

The Eyes Arrive First What a Formula 2 driver, Victor Wembanyama, and an NBA rookie reveal about the visual secret of elite performance.

There's a moment in every high-speed sport where the difference between elite and merely good comes down to where and when an athlete looks. A new study in the Journal of Vision gives us the most complete picture yet of what that looks like at the limit of human performance — and the Western Conference Finals are providing a live, full-court demonstration alongside it. Researchers at the University of Helsinki tracked a professional Formula 2 driver's gaze through 15 maximum-effort laps at over 270 kph. What they found wasn't scanning or searching. It was pure anticipation: the eyes arriving at the corner exit before the foot hit the throttle, lap after lap, from the same physical points on the track. Out of 840 gaze events across 22 minutes of driving, only 12 — barely 1.4% — landed on peripheral scenery. This episode connects that finding to what's happening on the hardwood: Wembanyama's multi-object tracking through a double-overtime marathon, Dylan Harper's seven anticipatory steals, and OKC's bench stepping cold into full perceptual intensity. Different vehicles, same gaze. IN THIS EPISODE, YOU'LL LEARN: * Why expert drivers' eyes arrive at the corner exit before they touch the throttle * What the 1.4% peripheral-gaze finding reveals about elite anticipation * How multi-object tracking under fatigue explains Wembanyama's overtime dominance * Why steals are the clearest statistical proxy for anticipatory gaze in basketball EPISODE TIMESTAMPS: * 00:00 - The Eyes Arrive First * 00:40 - Inside The Racer's Gaze * 01:30 - The Pre-Throttle Saccade * 02:20 - Only 1.4% On The Scenery * 03:10 - Wembanyama's Visual Load * 04:25 - Harper Operates In The Future * 05:30 - The Bench As Perceptual Readiness * 06:45 - The Same Gaze HELPFUL RESOURCES: * Sports Vision NYC [https://sportsvision.nyc/] * Connect with Dr. Laby on Instagram [https://instagram.com/sportsvisionnyc] * Pick Up a Copy of Eye of the Champion [https://training.sportsvision.nyc/eye-of-the-champion] * Download The Ultimate Sports Vision Guide for Athletes [FREE] [https://danlaby.mykajabi.com/guide] 👉 Don't forget to subscribe to Sports Vision Radio so you never miss an episode on the science of peak performance.

The Strike Zone Is Exposing Baseball's Vision Problem

MLB's challenge system isn't just correcting calls — it's measuring human visual performance for the first time. 55%. That's the overturn rate on challenged ball-strike calls under MLB's new Automated Ball-Strike system. More than half the time a player or catcher challenges a call, the umpire got it wrong. Before piling on the umpires, consider what that number actually means. Every challenged pitch is, by definition, a borderline pitch — nobody wastes a challenge on a fastball down the middle. These are late-breaking sweepers, disappearing changeups, pitches clipping the lower edge of the zone. The hardest perceptual tasks in the game. And the overturn rate tells us exactly what vision science has always predicted: even experienced professionals fail on the pitches that most stress the visual system. This episode walks through why those specific pitches break human visual processing, why ABS just turned the strike zone into a vision lab, and the awkward contradiction at the heart of how baseball currently evaluates its officials. Plus the four-step framework I'd apply to umpire vision evaluation tomorrow if a club asked. IN THIS EPISODE, YOU'LL LEARN: * What the 55% overturn rate actually measures — and why it's not an indictment of umpires * Why late-breaking sweepers and low-zone pitches predictably break trajectory prediction and depth perception * The contradiction between how MLB evaluates player vision versus umpire vision * A four-step framework for sport-specific visual performance evaluation of officials EPISODE TIMESTAMPS: * 00:00 - The 55% Overturn Rate * 00:40 - Why Borderline Pitches Break Vision * 01:20 - Trajectory Prediction Failure * 02:00 - The Low-Zone Depth Problem * 02:40 - From Argument To Data Point * 03:25 - The Player–Umpire Contradiction * 04:05 - The Four-Step Framework * 05:15 - The Real Lesson HELPFUL RESOURCES: * Sports Vision NYC [https://sportsvision.nyc/] * Connect with Dr. Laby on Instagram [https://instagram.com/sportsvisionnyc] * Pick Up a Copy of Eye of the Champion [https://training.sportsvision.nyc/eye-of-the-champion] * Download The Ultimate Sports Vision Guide for Athletes [FREE] [https://danlaby.mykajabi.com/guide] 👉 Don't forget to subscribe to Sports Vision Radio so you never miss an episode on the science of peak performance.

Why Elite Athletes Are Training in the Dark

You've probably seen them — the futuristic-looking sunglasses that flicker between clear and opaque while an NFL receiver runs routes or a college infielder fields ground balls. Stroboscopic training glasses have been floating around elite sport for years. For a long time, the science wasn't strong enough to say much beyond interesting idea, needs more research. That has changed. Over the past year, three major scientific reviews have pulled together the best available evidence on stroboscopic visual training, and the conclusions are consistent enough that it's time to talk about what they mean — for high school athletes, college athletes, and anyone working in the perception layer of sport. This episode walks through what the lenses actually do, what the new research shows, why the dosage details matter, and what stroboscopic training is not. Because the most important thing about this technology isn't the technology itself — it's what it tells us about where elite athletic training is heading. IN THIS EPISODE, YOU'LL LEARN: * Why stroboscopic training works on the brain's prediction layer, not the eyes themselves * What three independent 2025 reviews concluded about reaction time, hand-eye coordination, and reactive agility * The 6–10 week / 2–3 sessions per week / 10–20 minutes per session protocol emerging from the evidence * Why these glasses are not a substitute for skill development, mechanics, or sport-specific volume EPISODE TIMESTAMPS: * 00:00 - The Glasses You've Seen Around * 00:45 - How The Lenses Actually Work * 01:45 - Three Reviews, Same Direction * 02:30 - Why It Maps To Your Sport * 03:50 - The Six-To-Ten-Week Protocol * 04:30 - What This Is Not * 05:25 - Eyes Are Your First Move HELPFUL RESOURCES: * Sports Vision NYC [https://sportsvision.nyc/] * Connect with Dr. Laby on Instagram [https://instagram.com/sportsvisionnyc] * Pick Up a Copy of Eye of the Champion [https://training.sportsvision.nyc/eye-of-the-champion] * Download The Ultimate Sports Vision Guide for Athletes [FREE] [https://danlaby.mykajabi.com/guide] 👉 Don't forget to subscribe to Sports Vision Radio so you never miss an episode on the science of peak performance.

The Real Story Isn’t That the Robot Won

On April 23, 2026, Nature ran a cover image of a robotic arm mid-swing. The system behind it was Sony AI's Project Ace — the first known autonomous machine to consistently beat professional table tennis players under International Table Tennis Federation rules. Across a year of evaluations, Ace defeated multiple T.League professionals, returned more than 75% of high-spin shots, and scored twice as many unreturnable serves as the humans across the table. For most readers, the headline was that a robot won. For anyone working in sports vision, the headline is somewhere else entirely: how it sees. This episode unpacks the perception stack Sony's team built — nine global-shutter cameras, three event-based gaze control units, pan-tilt mirrors, tunable telephoto lenses — and why the whole engineered apparatus is, in miniature, a man-made version of what elite hitters and goalkeepers do biologically with a single moving fovea per eye. Project Ace's perceive-decide-act loop runs at 20.2 milliseconds. Elite humans run it at around 230. Same problem. Different hardware. The bottleneck in interceptive sport, as it has always been, was never strength. It was always seeing. IN THIS EPISODE, YOU'LL LEARN: * Why Sony's gaze control system is functionally an engineered version of the human visual system * How event-based vision sensors and tunable optics solve the spin-discrimination problem in real time * Why the 100-millisecond pitch recognition window is the same problem Sony's engineers needed five years to crack * What wearable foveation aids will look like when this technology miniaturizes onto a batting helmet or goalie mask EPISODE TIMESTAMPS: * 00:00 - A Nature Cover Worth A Second Look * 00:45 - Three Decades, One Problem * 01:30 - Inside The Gaze Control System * 02:25 - Twenty Milliseconds Versus Two Hundred * 03:15 - One Fovea Per Eye * 04:10 - Why Two Prospects Differ At The Plate * 05:05 - The Sensor On The Helmet * 05:50 - The Bottleneck Was Always Seeing HELPFUL RESOURCES: * Sports Vision NYC [https://sportsvision.nyc/] * Connect with Dr. Laby on Instagram [https://instagram.com/sportsvisionnyc] * Pick Up a Copy of Eye of the Champion [https://training.sportsvision.nyc/eye-of-the-champion] * Download The Ultimate Sports Vision Guide for Athletes [FREE] [https://danlaby.mykajabi.com/guide] 👉 Don't forget to subscribe to Sports Vision Radio so you never miss an episode on the science of peak performance.

#79 - I Thought I Solved Player Longevity — I Was Wrong Inside a week of AI-driven analysis, a flawed model, and the lesson every front office should understand.

AI promises to compress months of work into minutes. Sometimes it delivers. Sometimes it delivers an answer that looks right — and isn't. This episode steps away from the usual sports vision topic to share a behind-the-scenes story: a week spent building, validating, and then dismantling an AI-driven model that appeared to predict Major League career longevity from vision testing data. The dataset was real and substantial — 14 years of consistent testing, 14 MLB organizations, 6,006 professional players, and likely the largest vision database of professional athletes ever assembled. The model came together quickly. Early external validation looked convincing. The breakthrough seemed real. Then came a one-hour conversation with one of the smartest executives in baseball — and the model fell apart. The flaw wasn't the AI. It was the assumption that AI alone could navigate selection bias, framing, and the right statistical questions. AI is going to reshape sports science the way the GUI reshaped computing — but only when it's paired with human skepticism, domain expertise, and the willingness to challenge a result that looks too clean. IN THIS EPISODE, YOU'LL LEARN: * Why an AI-built longevity model can look accurate and still be fundamentally wrong * How selection bias hides inside even the largest professional sports datasets * What MLB front offices actually need from vision data before they'll act on it * Why human judgment — not raw compute — is the limiting factor in AI-driven sports analytics EPISODE TIMESTAMPS: * 00:00 - The Breakthrough That Wasn't * 00:50 - A Different Kind Of Episode * 01:30 - AI As The Next GUI * 02:15 - 6000 Player Vision Database * 03:10 - AI Builds The Model * 04:00 - The Executive Reality Check * 04:55 - Model Collapses Under Scrutiny * 05:40 - The Real Lesson Learned HELPFUL RESOURCES: * Sports Vision NYC [https://sportsvision.nyc/] * Connect with Dr. Laby on Instagram [https://instagram.com/sportsvisionnyc] * Pick Up a Copy of Eye of the Champion [https://training.sportsvision.nyc/eye-of-the-champion] * Download The Ultimate Sports Vision Guide for Athletes [FREE] [https://danlaby.mykajabi.com/guide] 👉 Don't forget to subscribe to Sports Vision Radio so you never miss an episode on the science of peak performance.