Update: If you’re a triathlete and want to help do something about this problem to ensure that everyone gets a safe, fair race, please fill out Team EMJ’s survey.
My actual job is as a data scientist, so of course I have a need to try to look at the numbers and try to quantify things. A lot of variables play into how much drafting helps in a triathlon, but we can still look at some general data to get a broad idea of its effect.
In something that’s seemingly incredibly rare for this blog, here’s an actual post on data science. This is a podcast I did that has absolutely nothing to do with running or triathlon. So for most people who visit my blog, sorry this probably isn’t of much interest. But this is what I do at QxBranch for most of that 90% of time that I’m not running around mountains.
In this episode Andy Davis talks to John Kelly, Director of Analytics at QxBranch. On the show they discuss the excitement around Quantum Computing. Andy asks about the skills a person’s needs for a career in Data Analytics. They also chat about the projects John is working on.
If you REALLY want to see one of my generic, high level data science and quantum computing presentations. I’m sleep deprived and winging it, so pay no attention to the umms. 🙂
The slides aren’t visible, but if you really want them send me a message.