I like to run and I like to run the numbers. There is nothing quite like getting a really big dataset in one’s hands and playing around with the numbers. Once a year I allow myself this self-indulgence. Night after night, glass of red wine after glass of red wine, after everyone else in the household has gone to bed, I sit alone and pound away at my keyboard.
The Comrades data is quite predictable, every year the same patterns emerge. Most people start too fast and finish much slower, there is the Christmas tree finisher pattern where more people finish in the last 15 minutes of each medal cut-off than in any of the previous 15 minute segments.
Every year I come up with a few new ideas to add to the list of graphs and analysis I undertake – and if the findings are interesting enough I work this into conversations, corporate training materials and conference talks whenever I get the opportunity. I’ve run a lot of marathons and I’ve run a lot of data. However, this article covers the most surprising statistic I’ve found.Continue reading “Run Like a Girl (A Guide to Optimal Pacing at the Comrades Marathon)”