Uploaded May 2026 | Updated September 2026, 2 weeks ago
Three weeks of stalled squats. The conventional answer is to switch programs because you've crossed into intermediate territory. The data says something else. In Part 3 of the Progressive Loading series, Dr. Jordan Feigenbaum and Dr. Austin Baraki walk through why the standard novice / intermediate / advanced framework runs into trouble in real training, what the four adaptive systems are actually doing across a training career, and why most of what gets called a stall is impatience with the noise floor at your current strength level.
This is Part 3 of the Progressive Loading series. Part 1 covered why loading should react to demonstrated adaptation. Part 2 covered RPE-based autoregulation and the artificial-momentum approach. Today is the mechanism layer.
Pre-order our book, Signal: barbellmedicine.com/signal
Timestamps
• 0:00 - Why your lifts aren't moving
• 1:52 - The novice / intermediate / advanced framework, three claims to test
• 13:23 - What 17 years of powerlifting data show about how long you keep getting stronger
• 32:28 - How getting stronger actually works (four systems on four clocks)
• 38:00 - What early growth is actually made of (the Damas 2016 deuterium study)
• 50:33 - The connective tissue lag and why early-training injuries happen
• 58:32 - Why heavy lifting works for bone density (and why "walk on a treadmill" advice misses)
• 1:05:10 - Why new lifters get hurt 3 to 10 times more than experienced lifters
• 1:12:56 - Fatigue is at least four different things (and most coaches treat it as one)
• 1:26:19 - The CNS fatigue myth (and what the data actually says)
• 1:33:52 - When the bar isn't moving: how to actually diagnose a stall
• 1:45:51 - Takeaways and next week's tease: leptin and low testosterone
What we cover
- The novice / intermediate / advanced framework: three claims and why each one fails the data test
- The 17-year IPF strength curve and what the no-kink finding does and does not establish (Latella 2024)
- The four adaptive systems and their separate timescales (neural, muscle, connective tissue, bone)
- What early growth actually is, including the deuterium-oxide finding that most week-3 size is fluid (Damas 2016)
- Why connective tissue lags muscle by six to eight weeks, and why that produces patellar tendinopathy four months in
- The 9.5 vs 0.74 to 3.3 injury rate gap between novice and experienced CrossFit participants
- The CNS fatigue myth and the Skarabot 2018 finding that locates the fatigue in the muscle, not the brain
- Why the LIFTMOR trial result (heavy lifting for bone density in women in their 60s and 70s) is being missed by primary care
- A practical decision tree for stalls: environment first, then load, then program
- Tease for next week: leptin, the HPG axis, and the metabolic driver of low testosterone almost nobody connects
Resources
Training Plateau Action Plan (free): barbellmedicine.com/training-plateau-action-plan
Progressive Loading article series: barbellmedicine.com/blog/progressive-loading
Beyond Progressive Overload (Part 2 article): barbellmedicine.com/blog/beyond-progressive-overload
BBM Programs and Coaching: barbellmedicine.com
Support our work on barbellmedicine.supercast.com
Latella C et al. Using powerlifting athletes to determine strength adaptations across ages in males and females. Sports Med. 2024. pubmed.ncbi.nlm.nih.gov
Del Vecchio A et al. The increase in muscle force after 4 weeks of strength training is mediated by adaptations in motor unit recruitment and rate coding. J Physiol. 2019. pubmed.ncbi.nlm.nih.gov/30644584
Lecce E et al. Resistance training-induced adaptations in the neuromuscular system. J Physiol. 2025.
Balshaw TG et al. Neural adaptations after 4 years vs 12 weeks of resistance training. Scand J Med Sci Sports. 2019. pubmed.ncbi.nlm.nih.gov/30474171
Skarabot J et al. Voluntary activation and agonist EMG amplitude in resistance-trained men. J Appl Physiol. 2021.
Roberts MD et al. Mechanisms of mechanical overload-induced skeletal muscle hypertrophy. Physiol Rev. 2023.
Damas F et al. Resistance training-induced changes in integrated myofibrillar protein synthesis are related to hypertrophy only after attenuation of muscle damage. J Physiol. 2016. pubmed.ncbi.nlm.nih.gov/27219125
Damas F et al. Early resistance training-induced increases in muscle cross-sectional area are concomitant with edema-induced muscle swelling. Eur J Appl Physiol. 2016. pubmed.ncbi.nlm.nih.gov/26280652
Lazarczuk SL et al. Mechanical, material and morphological adaptations of healthy lower limb tendons. Sports Med. 2022. pubmed.ncbi.nlm.nih.gov/35657492
Kubo K et al. Time course of changes in the human Achilles tendon properties. Eur J Appl Physiol. 2012. pubmed.ncbi.nlm.nih.gov/22105708
...
Three weeks of stalled squats. The conventional answer is to switch programs because you've crossed into intermediate territory. The data says something else. In Part 3 of the Progressive Loading series, Dr. Jordan Feigenbaum and Dr. Austin Baraki walk through why the standard novice / intermediate / advanced framework runs into trouble in real training, what the four adaptive systems are actually doing across a training career, and why most of what gets called a stall is impatience with the noise floor at your current strength level.
This is Part 3 of the Progressive Loading series. Part 1 covered why loading should react to demonstrated adaptation. Part 2 covered RPE-based autoregulation and the artificial-momentum approach. Today is the mechanism layer.
Pre-order our book, Signal: barbellmedicine.com/signal
Timestamps
• 0:00 - Why your lifts aren't moving
• 1:52 - The novice / intermediate / advanced framework, three claims to test
• 13:23 - What 17 years of powerlifting data show about how long you keep getting stronger
• 32:28 - How getting stronger actually works (four systems on four clocks)
• 38:00 - What early growth is actually made of (the Damas 2016 deuterium study)
• 50:33 - The connective tissue lag and why early-training injuries happen
• 58:32 - Why heavy lifting works for bone density (and why "walk on a treadmill" advice misses)
• 1:05:10 - Why new lifters get hurt 3 to 10 times more than experienced lifters
• 1:12:56 - Fatigue is at least four different things (and most coaches treat it as one)
• 1:26:19 - The CNS fatigue myth (and what the data actually says)
• 1:33:52 - When the bar isn't moving: how to actually diagnose a stall
• 1:45:51 - Takeaways and next week's tease: leptin and low testosterone
What we cover
- The novice / intermediate / advanced framework: three claims and why each one fails the data test
- The 17-year IPF strength curve and what the no-kink finding does and does not establish (Latella 2024)
- The four adaptive systems and their separate timescales (neural, muscle, connective tissue, bone)
- What early growth actually is, including the deuterium-oxide finding that most week-3 size is fluid (Damas 2016)
- Why connective tissue lags muscle by six to eight weeks, and why that produces patellar tendinopathy four months in
- The 9.5 vs 0.74 to 3.3 injury rate gap between novice and experienced CrossFit participants
- The CNS fatigue myth and the Skarabot 2018 finding that locates the fatigue in the muscle, not the brain
- Why the LIFTMOR trial result (heavy lifting for bone density in women in their 60s and 70s) is being missed by primary care
- A practical decision tree for stalls: environment first, then load, then program
- Tease for next week: leptin, the HPG axis, and the metabolic driver of low testosterone almost nobody connects
Resources
Training Plateau Action Plan (free): barbellmedicine.com/training-plateau-action-plan
Progressive Loading article series: barbellmedicine.com/blog/progressive-loading
Beyond Progressive Overload (Part 2 article): barbellmedicine.com/blog/beyond-progressive-overload
BBM Programs and Coaching: barbellmedicine.com
Support our work on barbellmedicine.supercast.com
Latella C et al. Using powerlifting athletes to determine strength adaptations across ages in males and females. Sports Med. 2024. pubmed.ncbi.nlm.nih.gov
Del Vecchio A et al. The increase in muscle force after 4 weeks of strength training is mediated by adaptations in motor unit recruitment and rate coding. J Physiol. 2019. pubmed.ncbi.nlm.nih.gov/30644584
Lecce E et al. Resistance training-induced adaptations in the neuromuscular system. J Physiol. 2025.
Balshaw TG et al. Neural adaptations after 4 years vs 12 weeks of resistance training. Scand J Med Sci Sports. 2019. pubmed.ncbi.nlm.nih.gov/30474171
Skarabot J et al. Voluntary activation and agonist EMG amplitude in resistance-trained men. J Appl Physiol. 2021.
Roberts MD et al. Mechanisms of mechanical overload-induced skeletal muscle hypertrophy. Physiol Rev. 2023.
Damas F et al. Resistance training-induced changes in integrated myofibrillar protein synthesis are related to hypertrophy only after attenuation of muscle damage. J Physiol. 2016. pubmed.ncbi.nlm.nih.gov/27219125
Damas F et al. Early resistance training-induced increases in muscle cross-sectional area are concomitant with edema-induced muscle swelling. Eur J Appl Physiol. 2016. pubmed.ncbi.nlm.nih.gov/26280652
Lazarczuk SL et al. Mechanical, material and morphological adaptations of healthy lower limb tendons. Sports Med. 2022. pubmed.ncbi.nlm.nih.gov/35657492
Kubo K et al. Time course of changes in the human Achilles tendon properties. Eur J Appl Physiol. 2012. pubmed.ncbi.nlm.nih.gov/22105708
...

![Do Running Shoes and Gait Analysis Prevent Injury?
If you are generally fit, have no performance goals, and run about 90 minutes a week, does a shoe matched to your foot shape lower your injury risk, or is comfortable enough? Does video gait analysis help? Jordan and Dr. Austin Baraki agree on the short answer: at that volume, training load management matters far more than gear.
We go through the evidence anyway. A 2024 study followed more than 7,400 recreational runners with Garmin watches for about 18 months; roughly 60% got hurt by around 600 miles, and the highest injury rates were in people running least often. Motion-control and arch-matched shoes did not reduce injuries in large military and half-marathon trials, softer cushioning looked modestly better in one study, and heel-to-toe drop made no difference, though switching abruptly to a flatter shoe can stress the Achilles and calf. Carbon-plated “super shoes” buy a few percent in running economy, which will not matter much at 90 minutes a week.
The practical version: pick shoes that are comfortable, rotate a couple of pairs, transition gradually if you change shoe type, and keep weekly mileage increases in the 20 to 30% range. Austin’s swimming-era analogy lands the point: a single session with a skilled coach to fix technique will usually beat anything you can buy. Full AMA episode and references linked below.
Resources:
Subscribe to BBM Plus for the full unabridged Direct Line: https://barbellmedicine.supercast.com/
Barbell Medicine coaching and templates: https://www.barbellmedicine.com/
Signal book pre-order: https://www.barbellmedicine.com/shop/learning/signal/
Abramson E. et al. 2024. Running-related injuries in recreational runners: a prospective cohort study using wearable trackers. Br J Sports Med [verify PMID]
Knapik J.J. et al. 2010. Injury reduction effectiveness of selecting running shoes based on plantar shape. J Strength Cond Res 24(3):685-697.
https://pubmed.ncbi.nlm.nih.gov/20145557/
Malisoux L. et al. 2016. Influence of the heel-to-toe drop of standard cushioned running shoes on injury risk in leisure-time runners: randomized trial. Am J Sports Med 44(11):2933-2940.
https://pubmed.ncbi.nlm.nih.gov/27474384/
Hoogkamer W. et al. 2018. A comparison of the energetic cost of running in marathon racing shoes (Vaporfly). Sports Med 48(4):1009-1019.
https://pubmed.ncbi.nlm.nih.gov/29143929/ Do Running Shoes and Gait Analysis Prevent Injury?](https://i.ytimg.com/vi/hUaf_teTR9g/mqdefault.jpg)








