Category Archives: Stats

May Recap

15373 to start off the year. That’s a sub-par month compared to my average (around 24k a month), but since I haven’t broken 16k since last November, it’s becoming par for the course. A full week of Zeroes (or at least close enough to). The numbers would be respectable if I could get rid of those. The excuse this month — and it’s more legitimate than most months — was graduation, which turned into a circus fast.

Work wise there was progress. I’m trying to finish and polish my senior capstone, and to that end I’m busy filling gaps in the Hillsdale collection of short stories.

Beat the ghost 8 times, but still ended up 7.7k in the red.

I’m paying more attention to my punch clock, and I’m simply not getting enough hours in. 12.5 isn’t good enough. Again, 0s hurt these numbers a lot, which shows how important forward progress (no matter how incremental) is.

June’s always a productive month for me, and I’m hoping I can come back here July 1st with serious numbers. Or I’ll just keep watching “Become Legendary” commercials on YouTube.

The Year in Graphs

My writing year starts on May 10, which means I recently wrapped up my second year of statkeeping. Continue reading

April Recap

So, not a great month. April ’09 was 17k more productive than this April. I’m sure there’s a perfectly valid reason for this. It’s definitely not the fact that I’m watching almost every NBA playoff game. Continue reading

March Recap

I like stats more than my major (English) would suggest. I like stats more than my AP Calculus test score of “N/A” would indicate. For someone clumsy as I am with numbers, I love them when they’re the right kind.

All kinds of stats, really. Basketball’s obvious — who’s a 20-10 guy this season? Also the more arcane stats: PER, adjusted +/-, TS%. I like the stats sabermetricians keep more than the sport of baseball.

I’ve got Nike+ tracking minutely my every run. The idea of having the statistic of that run is often more compelling than the thought of the run itself.

What’s so great about statistics? They let you predict the future. They uncover value missed by the naked eye. The numbers don’t lie.

GRAPHS AHOY

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