To thwart those hoping to call me a hypocrite, I’ll cut straight to the chase. Matt Lentzner, in his most recent Baseball ProGUESTus column, wastes several hundred words and a whole article to express what I can do in 26: Sample size is important; please include it. And wouldn’t it be cool to have the sample size this stat stabilizes at (according to Pizza Cutter), too?
Wait, I know I can do better. sample size rulez. context iz cool 2. That’s seven words and only 38 characters, leaving plenty of room for sweet hashtags, #imisspizzacutter. If this is your topic for a column on likely the biggest stage in sabermetrics, just sit on it and try for something more interesting and original.
As always, the BP commenters were right on point. skyojohnny chimed in first:
This is one of the most important articles I have ever read in BP and I bet that it will also be one of the most overlooked.
#smh
By the way, it’s bad enough BP couldn’t come up anything more clever than “Proguestus” for their guest writers’ column. That has to be literally the first idea they came up with. To spend time brainstorming names and ending up with something so banal would make me sad. But to capitalize the “guest” is insulting. Because I’m so dumb, I wouldn’t get it otherwise. Thanks, guys.








One Idiot with a Stats Software Package
Just when you thought this blog was dead and buried, Matt Swartz comes riding to the rescue. At FanGraphs, he has a new five-part series on everyone’s favorite stat, SIERA. Because last time around, as Swartz trumpets, he and his partner in
stupiditycrime, Eric Seidman, “didn’t totally appreciate why it worked.” And the name “skill interactive” was completely misleading, too. It’s not like you two devoted more than 10,000 words and its own five-part introductory series on Baseball Prospectus about it last winter. This time, though, Swartz has totally got this.He isn’t shying away, though. He answers the questions SIERA-atics (like myself) have often asked, like, “Why aren’t there more terms in this equation?” To which he says, in Part Two, “Excellent question. I’ve added (BB/PA)^2, (SO/PA)*(BB/PA), a run-environment variable, and percentage of innings as a SP! And all only because they improve my RMSE!” Swartz even managed to flip the sign on one of the preexisting terms with no explanation why.
I don’t know anything about FanGraphs’ business, but bringing on Matt Swartz and letting him revamp SIERA has to be a waste of money. A one-percent improvement over xFIP would be valuable to a team, I imagine, but to the average fan, it’s worth zero. Maybe less than zero when it’s impossible to explain in English the rationale for the stat. (Though we’ll have to wait until Part Four to see the comparison between the two, I wouldn’t bet the improvement is close to one percent. And there’s always a good chance that the comparisons aren’t done correctly anyway.) So they’re paying Swartz to blather on about something pointless at best and wasting Dave Appelman’s time in having to add it to their database. The rich grandpa lives on.
Somewhat surprising to me is that the FanGraphs commenters are being uncharacteristically kind to Swartz and his Frankenstein stat. Baseball Prospectus commenters, less so.
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Tagged baseball prospectus, comments war, david appelman, eric seidman, fangraphs, matt swartz