I am a runner. I don’t look like what many people visualize a runner to be. I am not fast, and I am not very likely to place in my age group, nor in anyone else’s for that matter. My spot is typically toward the back of the pack. And even though I’m not a fast runner, many a weekend morning, the girl who feigned illness to avoid running in gym in junior high now pays money to run several miles with a bunch of strangers.
Being the statistics nerd that I am, after crossing the finish line of a race, I eagerly check my phone for a text from the timing company, compare it to my running watch, and analyze my overall time and splits for this race. Once I get home, I assess my historical race data, and compare it to see how my performance at this event stacks up with previous endeavors for me.
After a recent race, while I was looking at my sports watch app and analyzing my data, I suddenly realized how similar running participation is to outcomes participation and analyzing outcomes data. And then, my statistics brain wondered what my data would look like on a FOTO Scorecard.