This morning thousands and thousands of people did something I can not even imagine doing . . . they ran the Boston Marathon (It was actually 35,671 entrants to be exact)!
This year the winning men’s time was 2:08:37 (Meb Keflezighi from California) . . . that’s an average speed of about 1 mile every 4.88 minutes. (As a comparison I re-started Couch-to-5K last night . . . and I ran about 1 mile every 11 minutes).
Anyway, the whole Boston Marathon thing got me thinking . . . I wonder how Meb’s time compares to other people who have won the Boston Marathon?
The first Boston Marathon was run in 1917. John J. McDermott (NY) won that race with a time of 2:55:10. He was still averaging about 1 mile every almost 7 minutes. So, is Meb just exceptionally fast? Was John just exceptionally slow?
The graph above represents all of the Boston Marathon times–from John to Meb and all of the marathoners in between. What do the data seem to tell you? Was John exceptionally slow? What about Meb?
This shows the average time for 10 year time spans of Boston Marathon winners. What seems to be happening to marathon times-over time?
If you had to model Boston Marathon winning times, based on the number of years since the first marathon what type of model would you use? Exponential Growth/Decay? Linear Increase/Decrease? Quadratic model? Why? Do you think there might be anything noteworthy about the graph as people continue running the marathon? Will anyone ever run the marathon in under 2 hours? 1 hour? (if someone ran a marathon in under an hour they would be averaging 1 mile approximately every 2.25 minutes)
I’d love to know what you think! In the meantime . . . I’ll be trying to get under the 10 minute mile mark with my Couch-to-5k app!