In the next weeks, we will explore a new topic. We will statistically look how fast individuals typically improve in rock climbing and bouldering using multilevel models. For this purpose we will consider average (and exceptional) experience-grade profiles based on gender, starting age and starting grade. As a technique we will consider multilevel models (and possibly same Bayesian models) which is well suited for tasks like this.
I already excited to see whether individuals improve fast in bouldering than in rock climbing, or whether we can identify a limiting age before you have to start to become really good.
Please let me know what you are interested in! Which (readily available) factors should be considered in your view for such an analysis?
Part 1: How many years does it take to climb 7a or 5.11d?
Part 2: Progressing like Adam Ondra or Stefano Ghisolfi
Part 3: Progression differences between rock climbing and bouldering
Part 4: The role of age. Is there a critical period to start before to become a professional climber?
Data science, statistics and visualization of rock climbing and bouldering related aspects. E.g. what is the role of height and weight in climbing? How much harder is onsighting vs redpointing? Is machine learning relevant for rock climbing?
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Research article looking at climber ability and route difficulties by Dean Scarff
Dean Scarff made me kindly aware about his extremely interesting arXiv article Estimation of Climbing Route Difficulty usingWhole-History Ra...
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If you talk to beginners, you often hear how long does it take to climb 7a (5.12a)? In this post, we approach this question in a first out o...
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Today, we want to investigate the correlation between height and individual climbing performance. We start with male rock climbers and w...
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In our previous post , we have looked at the distribution of grades across almost 3 million rock climbing ascents in the 8a.nu data. Today, ...
Hey this is awesome. I started writing about stats this week (https://climbcore.wordpress.com/2019/09/26/ideal-bmi-height-age-for-climbing-8a-nu-data-visualizing/) and have already been thinking about going a bit further with it. What data are you pulling? the 8a bank?
ReplyDeleteNice. Thanks for sharing your blog post. Please keep me updated, looking forward to seeing more from you. Yes, I use the 8a.nu data published via Kaggle (same as you as it seems).
Deleteyeah finally read the post where you said this! thanks man. Hey i was thinking of a cool project, maybe let me know if you have some time to work on finding the data. Basically it would involve using other outside data that would relate to these banks. My first thought was maybe weather!
Deletedrop me a line if you want to share some ideas or start a shared notebook on kaggle / where ever. Hopefully your site shows my email.
Sounds great, see my reply to your email :-)
DeleteThanks for sharing great post. Keep it post!
ReplyDeleteBouldering in Bangalore
https://data-driven-sciencetalks.blogspot.com/2017/02/learn-r-programming-definitive-guide.html?showComment=1630584423302#c6022263848429919068
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