Really cool. I’ve consistently viewed Sage’s own content, but this collaboration is nice to see. Feels like a more casual conversation and that helps a novice like me take in the information being provided and actually retain it.
BTW what you forgot to mention is that this study is a follow up to his older more detailed study (Performance Determinants in Trail-Running Races of Different Distances) where he looked at different distances at the UTMB event. The problem in that study was that there were just a few (6 female, 8 male) doing the UTMB and with 3-4 of them having a bad day it skewed the vo²max chart imho so that while he found correlations for the shorter races it made the overall analysis inconclusive. If I look at vo²max chart of that study you can clearly see 3 runners with high vo²max having a bad day. If you exclude those I could draw a similar trendline as the other distances. And that one outlier that was by far the best at UTMB had a very high vo²max, low bf% and a very low CR :)
Nice this is back, interesting discussion! On the grade of UTMB: it’s >11% average. 10.000m up also means 10.000 down. Or put differently: about half the distance is climbing, half descending. So that gives either 20.000m over 172 km or 10.000m over 86 km, i.e >11%
Thanks for putting your podcast on UA-cam. It's much easier and more convenient to listen here than on a podcast app.
Interesting conversation as always. Looking forward to more episodes.
Really enjoyed the podcast, thanks for putting it on UA-cam.
Really cool. I’ve consistently viewed Sage’s own content, but this collaboration is nice to see. Feels like a more casual conversation and that helps a novice like me take in the information being provided and actually retain it.
I will support your podcast, so much value and feels like hanging out with you!
Thanks. Love watching you both. You share so much running knowledge
Good luck with the new podcast!
Finały! That's the format I was waiting for! 1h - 1,5h seems ideal for my sunday runs❤
This is so exciting! Love the nitty gritty science stuff.
🙌
🤓
ah, I missed this
Thanks! ☺
glad to see you here! Congrats on Toyko!
OH SNAP this was a good idea!
but is the vo2max reading on my watch accurate and something I should obsess over?
As a Serious Runner you know the answer 😉😂
🤣 We'll have to cover that on another episode!
As a serious runner, you should know to always obsess over data that's potentially publicly visible unless the lab tests gave you better results!
Thank you guys and thank you a lot coach sage. I can only imagine the strength you needed and you have. Not easy stuff.
This was great, very informative, you both have so much expertise and make a complex topic accessible
Brilliant, the podcast is back
Nice to see the podcast back. Will these pop up eventually under my old podcast subscription (Sage Running Podcast) or do I search out the new name?
Thanks! You're going to want to search under the new name "The Higher Running Podcast" 🙌
BTW what you forgot to mention is that this study is a follow up to his older more detailed study (Performance Determinants in Trail-Running Races of Different Distances) where he looked at different distances at the UTMB event. The problem in that study was that there were just a few (6 female, 8 male) doing the UTMB and with 3-4 of them having a bad day it skewed the vo²max chart imho so that while he found correlations for the shorter races it made the overall analysis inconclusive. If I look at vo²max chart of that study you can clearly see 3 runners with high vo²max having a bad day. If you exclude those I could draw a similar trendline as the other distances. And that one outlier that was by far the best at UTMB had a very high vo²max, low bf% and a very low CR :)
yes good points and really hard to draw strong correlations with such small sample sizes!
Nice this is back, interesting discussion! On the grade of UTMB: it’s >11% average. 10.000m up also means 10.000 down. Or put differently: about half the distance is climbing, half descending. So that gives either 20.000m over 172 km or 10.000m over 86 km, i.e >11%
Nice Podcast :)
It's not on apple podcast yet. Will it be published there?
yes eventually...that might take several days. Hopefully distribution on Spotify etc will be a lot earlier!