Lefty
New member
- Joined:
- Apr 19, 2010
- Posts:
- 2,241
- Liked Posts:
- 780
Right, because in baseball, 1 is always a good sample size...
Eight isn't much better, especially when you're talking about a career that spanned eight seasons.
Right, because in baseball, 1 is always a good sample size...
Eight isn't much better, especially when you're talking about a career that spanned eight seasons.
It's not his fault he only had 8 players play for the correct number of PAs...
New the name to the mix: Jeremy Bonderman. The Cubs have interest in him, but how much, I don't know.
depends who our new pitching coach is..
The Cubs are expected to make a push for Jaiver Vaquez and this will happen over the next month. Maybe we could see a signing of Jaiver at the WM or another pitcher. We will at least hear rumors from now to the WM.
Not a huge fan.. Maybe it wouldn't be terrible but I'm still not in favor.
I'm not saying it is, just that you can't attribute these things specifically to him, as they are just as easily attributable to other things (age, park and luck, just to name a few).
But have posted nothing to contradict it. Sure, it could be age, park, and/or luck. However, you have posted nothing to prove that. Until then, I will go ahead and go with the facts that we know, not just speculation.
That's what the "facts" are telling you: nothing. Sure, you interpret them as meaning one thing and not a myriad of others (I'd guess because you don't want to be made to look the fool...again), but inherent in the numbers you use as affirmation of your conjectures is the variability and ambiguity I have been describing all along. The "facts" presented--those which you subscribe to--don't prove much of anything, so they cannot be treated as "facts" in any sense of the term. It's really hard for me to believe that you are dense enough to not understand this yet.
Ok, so then you're going to look at data with small sample sizes, literally no isolation of variables (ok, well one: team before and after some arbitrary point), and dubious reliability of the statistics viewed in those small sample sizes, and say "It could be anything, but I'm going to say that it's this one thing, because nobody has shown it definitively to be something else". That's really, really stupid. Like, a lot stupid.
Well that's just it... your small sample size is wrong. K/PA becomes reliable at 150 BF and BB/PA at 550 BF. Proof.
You act as if a pitching coach has absolutely no effect on the players, which is just not true.
:lmao: Yeah, that's been my point all along. Come on, is this all you have left? Resorting to completely misrepresenting my points and arguments? Please, child.
.70 is where things become reliable. Sure .79 is more reliable, but .7 is reliable as well, so all those players are valid.
Okay, if that is your point, explain to me Dave Duncan.
.70 is where things become reliable. Sure .79 is more reliable, but .7 is reliable as well, so all those players are valid.
Okay, if that is your point, explain to me Dave Duncan.