One of my favorite posts ever on this app.
Yes it's a joke. An obnoxious parody even. Yet at the heart of it is exactly the way so many modern baseball front offices really do think. (Or are perceived to think, which, in a real sense, what's the difference?)
It's almost never about getting the absolute most out of every player on the 40-man roster and winning as much as possible right now. More like an endless, McKinsey-esque process optimization quest. A refuge from raw result-getting.
Now I definitely see a kernel of truth in the IDEA of "trusting the process." So often though, as I was once told, the process becomes less something we trust, and more somewhere we hide.
BRESLOW BABBLE™
“Obviously, postseason elimination is disappointing, but I think it’s important that we resist evaluating the outcome through a binary success-failure framework.
What we experienced was really a high-leverage competitive information event.
October gave us an opportunity to collect actionable data within a compressed performance environment, and that’s incredibly valuable as we begin constructing our offseason decision architecture.
Did we accomplish the objective of winning the World Series?
No.
But I’m not sure that’s the only appropriate measurement of organizational advancement.
When you isolate our process-based indicators, normalize for roster volatility, and remove the inherent randomness associated with small-sample postseason sequencing, there are underlying developmental efficiencies that I think are extremely encouraging.
We learned things.
And learning things creates knowledge.
And knowledge, when properly contextualized within a scalable baseball-operations infrastructure, creates optionality.
That’s really what this is about.
Optionality.
Now we go back to the drawing board — although I’d probably characterize it less as a drawing board and more as a multidimensional roster-optimization matrix.
We’ll examine our run-production ecosystem, pitching sustainability, defensive conversion architecture, biomechanical availability patterns, and the intersection between player acquisition cost and projected marginal win efficiency.
We’ll ask difficult questions.
Then we’ll develop even more difficult questions about those questions.
Then we’ll build models to determine whether we were asking the correct questions in the first place.
That process takes time.
I understand fans want answers.
But answers without sufficient probabilistic context are really just conclusions, and conclusions can become dangerous when they interfere with process.
So am I disappointed?
Of course.
But I’m also energized.
Because sometimes elimination isn’t an ending.
Sometimes it’s simply an additional data point.
And if you zoom out far enough, remove emotion, adjust for variance, calculate the underlying expected organizational trajectory and squint really hard at the spreadsheet…
We’re actually undefeated.”