Uploaded September 2024 | Updated September 2026, 3 hours ago
How do we know what we know? And do we know what we think we know? If your answer is “I don’t know,” then this episode is for you. In this classic-style episode, Omar and Helms sit down for a spirited chat on epistemology: the theory of knowledge, as it relates to hypertrophy. In the “evidence-based” world some people always claim to have things figured out entirely. In the case of hypertrophy, some people currently can explain with a “model” what must occur in training to produce hypertrophy, in a logically consistent narrative, based in true aspects of physiology. However, just because something is logically consistent and contains elements of truth, doesn’t necessarily make it entirely correct. So first, we should ask, when and why should models be used in scientific inquiry? How do models sit in relation to empirical studies? How does one check the veracity of a model? Is a “model” really a model if nothing was actually modelled? Can it be valid if it is contradicted by dozens of controlled trials? Most importantly, will we ever be ok with feeling uncomfortable and embracing our ignorance in the search of knowledge? Or, are we doomed to repeat the mistake of prematurely clinging to intellectually satisfying, logical, complete, yet factually incorrect answers whenever there are gaps in our understanding that makes us uncomfortable?
00:00 Do you know what you know?
04:56 Fitness content creators and models of hypertrophy
Refalo 2023 Influence of Resistance Training Proximity-to-Failure on Skeletal Muscle Hypertrophy: A Systematic Review with Meta-analysis pubmed.ncbi.nlm.nih.gov/36334240
Robinson 2024 Exploring the Dose-Response Relationship Between Estimated Resistance Training Proximity to Failure, Strength Gain, and Muscle Hypertrophy: A Series of Meta-Regressions pubmed.ncbi.nlm.nih.gov/38970765
17:15 Studies in sport science without black and white results/answers and mathematical models
27:55 (Dis)confirming models and considering scientific evidence
The Evidence is Lacking for “Effective Reps” by Greg Nuckols strongerbyscience.com/effective-reps
Grgic 2018 Effect of Resistance Training Frequency on Gains in Muscular Strength: A Systematic Review and Meta-Analysis pubmed.ncbi.nlm.nih.gov/29470825
43:01 Engaging in dialogue regarding these models
48:24 Closing out this overdelivering 50 minute episode
How do we know what we know? And do we know what we think we know? If your answer is “I don’t know,” then this episode is for you. In this classic-style episode, Omar and Helms sit down for a spirited chat on epistemology: the theory of knowledge, as it relates to hypertrophy. In the “evidence-based” world some people always claim to have things figured out entirely. In the case of hypertrophy, some people currently can explain with a “model” what must occur in training to produce hypertrophy, in a logically consistent narrative, based in true aspects of physiology. However, just because something is logically consistent and contains elements of truth, doesn’t necessarily make it entirely correct. So first, we should ask, when and why should models be used in scientific inquiry? How do models sit in relation to empirical studies? How does one check the veracity of a model? Is a “model” really a model if nothing was actually modelled? Can it be valid if it is contradicted by dozens of controlled trials? Most importantly, will we ever be ok with feeling uncomfortable and embracing our ignorance in the search of knowledge? Or, are we doomed to repeat the mistake of prematurely clinging to intellectually satisfying, logical, complete, yet factually incorrect answers whenever there are gaps in our understanding that makes us uncomfortable?
00:00 Do you know what you know?
04:56 Fitness content creators and models of hypertrophy
Refalo 2023 Influence of Resistance Training Proximity-to-Failure on Skeletal Muscle Hypertrophy: A Systematic Review with Meta-analysis pubmed.ncbi.nlm.nih.gov/36334240
Robinson 2024 Exploring the Dose-Response Relationship Between Estimated Resistance Training Proximity to Failure, Strength Gain, and Muscle Hypertrophy: A Series of Meta-Regressions pubmed.ncbi.nlm.nih.gov/38970765
17:15 Studies in sport science without black and white results/answers and mathematical models
27:55 (Dis)confirming models and considering scientific evidence
The Evidence is Lacking for “Effective Reps” by Greg Nuckols strongerbyscience.com/effective-reps
Grgic 2018 Effect of Resistance Training Frequency on Gains in Muscular Strength: A Systematic Review and Meta-Analysis pubmed.ncbi.nlm.nih.gov/29470825
43:01 Engaging in dialogue regarding these models
48:24 Closing out this overdelivering 50 minute episode
