4.8 • 827 Ratings
🗓️ 23 September 2024
⏱️ 51 minutes
🧾️ Download transcript
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 https://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 https://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 https://www.strongerbyscience.com/effective-reps/
Grgic 2018 Effect of Resistance Training Frequency on Gains in Muscular Strength: A Systematic Review and Meta-Analysis https://pubmed.ncbi.nlm.nih.gov/29470825/
43:01 Engaging in dialogue regarding these models
48:24 Closing out this overdelivering 50 minute episode
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0:01.0 | Eric. |
0:02.0 | Omar. |
0:04.0 | What do we know? |
0:06.0 | You know, I don't know what we know, but I do know what we don't know. |
0:10.0 | And sometimes you have to figure out, does what you know match what you know? |
0:15.0 | And if it does, then maybe you do know what you know. |
0:17.0 | But if what you think you know isn't supported by what you do know, then maybe you don't know what you know. You know what you know, but if what you think you know isn't supported by what you do know, |
0:21.6 | then maybe you don't know what you know. You know what I know? No. Pain don't hurt much. Welcome |
0:28.5 | folks to the fifth. It's not a roundtable, but pain science discussion where we're really going to |
0:35.6 | dive into it this time. We've been we've been skirting around |
0:38.2 | the issues we've been talking you know kind of on the outside so to speak not really digging |
0:43.3 | into the the nitty gritty but with helms that's what we're doing today yeah oh i'm i'm getting a |
0:50.6 | i'm getting a call oh no oh i so our ticot, who we haven't mentioned in at least two years, Omar. |
0:56.8 | Well, they aged out. |
0:58.0 | You're not familiar with the new app? |
1:00.5 | No, what is it? |
1:01.2 | Zipsop. |
1:02.3 | Zipsop. |
1:03.0 | Okay. |
1:04.2 | It's like TikTok, but for 12 year olds instead of 14 year olds. |
1:07.6 | Oh, a Generation Z or whatever we're on at this point. |
1:10.2 | We're out of the alphabet. |
... |
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