{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Ep 383: Prof  Franco Impellizzeri on Load Management, Data &amp; the Truth About ACWR","description":"Physical Performance Show \u2013 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 &quot;load management&quot; 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 \u2014 not more metrics \u2014 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&amp;nbsp;PHYSICALPERFORMANCE&amp;nbsp;for 15% off your first purchase. Pogo Physio also offers online Telehealth Consultations for endurance athletes managing bone, tendon, or joint issues \u2014 book online at pogophysio.com.au. &amp;nbsp; Professor Franco Impellizzeri\u2019s work can be explored here: https:\/\/profiles.uts.edu.au\/Franco.Impellizzeri And... https:\/\/scholar.google.com\/citations?user=z35F1WAAAAAJ&amp;amp;hl=en &amp;nbsp; Listen in as we delve into the following: What &quot;load management&quot; actually means, and why it's a relabelling of concepts coaches have wrestled with since the 1930s\u201340s 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 \u2014 both from tech companies and researchers Confirmation bias and why interpreting data without a theoretical framework is &quot;like reading tarot&quot; 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 \u2014 and what that reveals about the field Why meta-analyses and systematic reviews in load research can be manipulated to &quot;find whatever you like&quot; 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 &quot;failure&quot; that was actually a video-monitoring blind spot, not a bad drill The expanding role of data scientists in sport, and why interpretation \u2014 not collection \u2014 is the real skill gap Whether AI and machine learning can (or should) replace the sports scientist's judgement Individualised and personalised training approaches \u2014 and why even these are still built on group-level generalisations Distinguishing signal from noise, and why one &quot;failed&quot; intervention doesn't mean an athlete won't respond next time Practical advice for coaches and practitioners: accept uncertainty, treat training like a &quot;trial of therapy,&quot; and reassess If he could track only one metric: heart rate (or perceived effort) over power The push for more honest scientific debate \u2014 including a proposed on-air &quot;intellectual sparring&quot; series with dissenting researchers &amp;nbsp; Quotes: &quot;Understanding the quantity of training for athletes has been a hot topic since training methodology started... managing load is not new.&quot; \u2014 Professor Franco Impellizzeri &quot;When you don't have a theoretical framework and an a priori idea strong and supported, it's like reading tarot, to be honest.&quot; \u2014 Professor Franco Impellizzeri &quot;There's zero evidence that this metric can either help or can actually reflect some sort of mechanism.&quot; \u2014 Professor Franco Impellizzeri, on the acute to chronic workload ratio &quot;Don't take yourself too seriously.&quot; \u2014 Professor Franco Impellizzeri &amp;nbsp; Timeline: 00:00 \u2013 Introduction: host's specialist physio training and the load management &quot;viva&quot; question 01:04 \u2013 What is load management? An old concept, relabelled 02:31 \u2013 From heart rate monitors to GPS: the rise of training data 06:14 \u2013 Commercial interests and the risk of becoming &quot;slaves of data&quot; 08:05 \u2013 Why load management matters: the drug-dosing analogy 09:24 \u2013 Load management as a decades-old coaching concern 10:23 \u2013 Confirmation bias and interpreting data &quot;like reading tarot&quot; 13:17 \u2013 Championing methodological rigor in sports science 16:33 \u2013 Meta-research, honesty, and acknowledging uncertainty 18:22 \u2013 Why the most skilled clinicians express the least certainty 19:18 \u2013 Origins of the critique of the acute to chronic workload ratio (ACWR) 20:09 \u2013 Takeaways for contemporary practitioners on load management models 21:34 \u2013 Why the ACWR lacked scientific and conceptual support 23:02 \u2013 Training load, time-at-risk, and reframing injury risk 24:24 \u2013 The contradictory runners' study and what it implies 26:43 \u2013 Cherry-picking and overfitting in load-injury meta-analyses 28:34 \u2013 Taking a stronger public stance on social media 30:34 \u2013 Science as a self-correcting process 31:31 \u2013 The discipline required to properly read and critique research 33:58 \u2013 Why data alone can't tell you what to do 34:24 \u2013 Case study: the soccer drill that &quot;failed&quot; \u2014 until the video told the real story 36:49 \u2013 The role (and limits) of data scientists in sport 38:46 \u2013 Could AI replace the sports scientist's job? 40:42 \u2013 Advice for coaches and practitioners: accept uncertainty 42:09 \u2013 Individualised approaches are still a form of generalisation 44:31 \u2013 Separating signal from noise \u2014 and why not to give up early 46:56 \u2013 If only one metric: heart rate over power 48:21 \u2013 One piece of advice: &quot;don't take yourself too seriously&quot; 48:51 \u2013 This week's physical challenge: swimming without pain 50:16 \u2013 What's next: meta-research projects and replication studies 51:43 \u2013 A proposal for public scientific debate, and Ian Shrier's work on consensus 56:32 \u2013 Why genuine debate is hard to find in science communication today 57:59 \u2013 Episode close THE TEAM: Join The Physical Performance Show LEARNINGS membership through weekly podcasts here:&amp;nbsp;https:\/\/www.patreon.com\/TPPShow Our goal is to get you back to your Physical Best. Find out more about Telehealth Consultations and book online at pogophysio.com.au. Your Host: \ud83c\udfc3 Brad Beer - Instagram &amp;amp; X @Bradbeer and YouTube @PogophysioAu The Physical Performance Show can be found at: Facebook: facebook.com\/thephysicalperformanceshowpodcast X: @tppshow1 Instagram: @physicalperformanceshow ","author_name":"The Physical Performance Show","author_url":"https:\/\/physicalperformanceshow.com\/","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/42246165\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/204566030"}