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Sooo I totally agree with this concept: that teamwork is more important than individual contribution; that we should focus on teams rather than metrics; and tha
by dvt 10y ago
Sooo I totally agree with this concept: that teamwork is more important than individual contribution; that we should focus on teams rather than metrics; and that teams are simply more resilient than other types of organizational structures.
Buuut, then the author starts talking about some corporate-bs mumbo-jumbo "skills matrix". Moneyball is about "black swans" as Nassim Taleb would put it: unexpected outcomes that defy the current knowledge base. In other words, a conclusion that we could not have reached via deduction (but only perhaps abduction).
But that goes completely against the "skills matrix" concept. The whole point of Moneyball is that the Oakland players were flawed given standard metrics -- in fact, most were (very calculated) gambles.
>The final touch is to match these against levels of mastery. A lower level of skill may be someone who is largely uninformed of the subject, a middle level may be someone who can constantly use that skill well, and a high level is someone who is a mentor and thought-leader.
Oh god, he really did miss the point.
>With your new chart you are well prepared to decide where to make an investment. Should you hire for a specific weakness? Which team members get what training? Can we run peer mentorship? Do I have unchallenged experts who have no room to grow? Your answers are straight-forward now.
Yep. Whoosh. The whole idea of a strategy like Moneyball is that answers are not straightforward. Moneyball is all about intuition vs. evidence. In the case of the A's, intuition seemed to trump evidence, but the author keeps telling us to collect more evidence (in the form of matrices, skill trees, or whatever else). Not only is that the categorically wrong approach, it's also not how you build good teams.
- GavinMcG 10y agoI wouldn't have said that Moneyball is all about intuition vs. evidence, with intuition trumping evidence. Rather the other way around: the A's acquired talent that the evidence suggested was underpriced, disrupting the traditional intuition-based scouting approach. It seems like you've got that backwards.
- dvt 10y agoI really disagree, and I Podesta would also: [1] https://www.psychologytoday.com/blog/plato-pop/201109/moneyball-it-s-intuition-vs-evidence https://www.psychologytoday.com/blog/plato-pop/201109/moneyb... [2] http://www.datacenterknowledge.com/archives/2011/09/23/the-lessons-of-moneyball-for-big-data-analysis/ http://www.datacenterknowledge.com/archives/2011/09/23/the-l... According to Podesta: "Subjectivity ruled the day in evaluating players ... We had a completely new set of metrics that bore no resemblance to anything you’d seen. We didn’t solve baseball. But we reduced the inefficiency of our decision making."
- GavinMcG 10y agoThat supports exactly what I was saying: "In the competition between intuition vs. evidence, evidence wins." So it's not clear why you are saying "In the case of the A's, intuition seemed to trump evidence, but the author keeps telling us to collect more evidence (in the form of matrices, skill trees, or whatever else). Not only is that the categorically wrong approach, it's also not how you build good teams." (Emphasis mine.)
- dvt 10y agoEvidence may or may not win (that wasn't my point), my point was that Moneyball favored intuition over evidence. Even Podesta concedes that. So using it as the example in the original article makes no sense.
- GavinMcG 10y ago> Moneyball favored intuition over evidence. Even Podesta concedes that. Both the articles you've linked contradict you. Traditional scouting favored intuition over evidence. DePodesta and the Moneyball approach turned that on its head, favoring evidence. > DePodesta: “We said ‘unless we can prove it, we’re not going to believe it.’"
- cookiecaper 10y agoI'm coming in only knowing what those two links say (having no experience with the Moneyball media franchise or concept), but based on those, it sounds more like DePodesta is saying that the subjectivity was involved in selecting the relevant data points, and that once those data points were selected, they were used as the basis of evaluation -- they didn't override their formula to benefit "gut feelings". From later in [2]: >"We turn to data as our flashlight in the cave – our guiding light,” DePodesta said. “We said ‘unless we can prove it, we’re not going to believe it.’"... Essentially, from these articles, it seems that scouting used to be a random occurrence based on the biases (or "intuition") of the scout, and that DePodesta's "innovation" was an attempt to link that process to something measurable. This "innovation" is so obvious in other fields that it's not even mentioned, and that people who depend wholly on unjustifiable random chance deserve punishment and/or ridicule. Like most things, it boils down to subjectivity, because while you can find ways to quantify and analyze virtually anything, there is still a human who has to make a subjective judgment call as to what quantifications are significant to achieving their end goal. DePodesta says they would make those determinations and then refuse to change the criteria over undefined feeling-based intuition. That's, uh, good, I guess?
- bdg 10y ago> But that goes completely against the "skills matrix" concept. The whole point of Moneyball is that the Oakland players were flawed given standard metrics If anything I think I'm advocating against using "standard metrics", and opting to create ones that are meaningful to what it takes to ship software in your company. Where standard metrics are the ones that result in hiring the traditionally "best" developers. > corporate-bs mumbo-jumbo Mumbo? Perhaps. Jumbo? Perhaps not!