Ep 383: Prof Franco Impellizzeri on Load Management, Data & the Truth About ACWR

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Ep 383: Prof Franco Impellizzeri on Load Management, Data & the Truth About ACWR

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Physical Performance Show – Episode 383 Show Notes In episode 383 of The Physical Performance Show, host Brad Beer sits down with Professor Franco Impellizzeri, one of the most influential and outspoken voices in athlete load management research, for a wide-ranging conversation on why "load management" is an old concept dressed up in new data, why the acute to chronic workload ratio (ACWR) never held up to scrutiny, and why context — not more metrics — is what separates good decision-making from noise. Show Sponsor: Pillar Performance continues to lead the way in sports nutrition through micro-nutrition innovation, now expanding into the Performance Health range. One of their newest releases, Collagen Repair, was developed with Gelita Laboratories (Germany) using a clinically trialled collagen peptide (Tendofort) to support tendon and ligament health in conditions like hamstring tendinopathy, Achilles tendonitis, shin splints, and patellofemoral pain. Head to pillarperformance.shop (or thefeed.com for North American listeners) and use code PHYSICALPERFORMANCE for 15% off your first purchase. Pogo Physio also offers online Telehealth Consultations for endurance athletes managing bone, tendon, or joint issues — book online at pogophysio.com.au. Professor Franco Impellizzeri's work can be explored here: https://profiles.uts.edu.au/Franco.Impellizzeri And... https://scholar.google.com/citations?user=z35F1WAAAAAJ&hl=en Listen in as we delve into the following: What "load management" actually means, and why it's a relabelling of concepts coaches have wrestled with since the 1930s–40s The double-edged sword of the data revolution: from heart rate monitors to today's GPS, wearables, and AI-driven analytics Commercial and career incentives behind pushing metrics — both from tech companies and researchers Confirmation bias and why interpreting data without a theoretical framework is "like reading tarot" The case against the acute to chronic workload ratio (ACWR): its lack of scientific support despite IOC endorsement A landmark runners' study showing the opposite relationship between ACWR and injury risk — and what that reveals about the field Why meta-analyses and systematic reviews in load research can be manipulated to "find whatever you like" The difference between using a metric personally versus promoting it as scientifically validated Why the most skilled clinicians tend to hold their conclusions with the least certainty A real-world case study: a soccer training drill "failure" that was actually a video-monitoring blind spot, not a bad drill The expanding role of data scientists in sport, and why interpretation — not collection — is the real skill gap Whether AI and machine learning can (or should) replace the sports scientist's judgement Individualised and personalised training approaches — and why even these are still built on group-level generalisations Distinguishing signal from noise, and why one "failed" intervention doesn't mean an athlete won't respond next time Practical advice for coaches and practitioners: accept uncertainty, treat training like a "trial of therapy," and reassess If he could track only one metric: heart rate (or perceived effort) over power The push for more honest scientific debate — including a proposed on-air "intellectual sparring" series with dissenting researchers Quotes: "Understanding the quantity of training for athletes has been a hot topic since training methodology started... managing load is not new." — Professor Franco Impellizzeri "When you don't have a theoretical framework and an a priori idea strong and supported, it's like reading tarot, to be honest." — Professor Franco Impellizzeri "There's zero evidence that this metric can either help or can actually reflect some sort of mechanism." — Professor Franco Impellizzeri, on the acute to chronic workload ratio "Don't take yourself too seriously." — Professor Franco Impellizzeri Timeline: 00:00 – Introduction: host's specialist physio training and the load management "viva" question 01:04 – What is load management? An old concept, relabelled 02:31 – From heart rate monitors to GPS: the rise of training data 06:14 – Commercial interests and the risk of becoming "slaves of data" 08:05 – Why load management matters: the drug-dosing analogy 09:24 – Load management as a decades-old coaching concern 10:23 – Confirmation bias and interpreting data "like reading tarot" 13:17 – Championing methodological rigor in sports science 16:33 – Meta-research, honesty, and acknowledging uncertainty 18:22 – Why the most skilled clinicians express the least certainty 19:18 – Origins of the critique of the acute to chronic workload ratio (ACWR) 20:09 – Takeaways for contemporary practitioners on load management models 21:34 – Why the ACWR lacked scientific and conceptual support 23:02 – Training load, time-at-risk, and reframing injury risk 24:24 – The ...

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