I had never run so far, or for so much time, in my life. When I crossed the finish line at the Orcas Island 25k in 3:42:48 (or 222.8 minutes), poured a beer and got in line for pizza, I was wondering how the finish times were distributed. I'd had lots of time to think while I was running for almost 4 hours, and since I had never done a race of that length across that type of terrain (check out the race photos by Glenn Tachiyama), I wasn't sure how the other runners tended to finish.
First I made a histogram of the finish times, with each bin showing the count of runners finishing in 10 minute intervals.
I had thought I was farther back, but my time of 222.8 was pretty close to the middle, and from the histogram I saw that the bulk of the field finished in 3 hours (180 minutes) to about 4 hours 40 minutes (280 minutes).
The histogram didn't show a lot of detail, and a realized that a dotchart of each finish time might be an interesting way to look at these finish times. This dotchart shows the finish times of all 254 who completed the course.
This shows the finish times and places grouped by female or male.
And I made one more chart to find my finish within the field.
I was very much in the middle of the field. I was just glad to finish as fast as I did and to run through all that snow. The times of the top finishers were so fast. I was just coming down from the Powerline headed towards Twin Lakes when the leader crossed the finish line!
I've found the birdie dance photos and the botanizing posts to be a bit blasé, so although there have still been a lot of both, I have not felt any need to document those exploits here.
Well, I would like to document this.
With that disclaimer out of the way, there has been some exceptional botanizing recently.
I've also made an effort to measure the photosynthetic photon flux density at different locations. Botanizing and light measurements go good together.
I've been reading too. I've moved the what I've been reading list to a higher position on the right sidebar of this page. Reading goes good with botanizing and light measurements too.
And there have been lots of charts. I made this one showing flights since 8 August 2013. When I get around to it, I'll add flights going back about 10 years. I need to adjust the code some more to more clearly highlight (with color, line width, and transparency) the routes flown most often, but this shows that Bangkok-Tokyo has been a common one.
What else? Various projects. This talk with Dave Wilber covers a wide range of topics.
I flew a few times in April, and finally reached 106 flight miles on United. It would have happened sooner if they hadn't stopped flying to Bangkok, but so it goes. That was a lot of flights, and a lot of great trips, and memories.