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#61
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"I have the ultimate respect for White Sox fans. They were as miserable as the Cubs and Red Sox fans ever were but always had the good decency to keep it to themselves. And when they finally won the World Series, they celebrated without annoying every other fan in the country." Jim Caple, ESPN (January 12, 2011) "We have now sunk to a depth at which the restatement of the (bleeding) obvious is the first duty of intelligent men." — George Orwell |
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#62
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They will be wrong. Everyone is always wrong. They will be correct on a few and miss on many. It is what happens every year. If you can get half the playoff teams correct at this moment, you are ahead of most people who get paid to project for a living.
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#63
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www.chicagotribune.com/sports/baseball/whitesox/chi-chicago-white-sox-baseball-prospectus-20130211,0,7279767.story My final argument is this: when numbers are blindly used as the only basis for prediction, the prediction will very often fail. Here's a simplistic analogy: If you roll a die 1000 times and take the average of all the values that come up, you will get something close to 3.5. Yet only an idiot would actually believe that this means that 3.5 was the most likely number to come up on the next roll, because he would be failing to account for other factors, such as the fact that 3.5 is not a number that appears on any side of a die. Similarly, someone who believes a 162-game baseball season can be reasonably predicted just by looking at numbers--and actually makes important decisions that are based on those projections--is just as big a fool.
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#64
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Munchy, my point is that you take the worst possible outcome for the Sox (injury, regression, no improvement) and combine it with the Tigers' players staying injury free and either putting up the same numbers or improving.
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In Kenny We Trust 7/31/05
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#65
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2013 OBLIGATORY ATTENDANCE/RECORD TRACKER 1-1 LAST GAME: April 28 - Rays 8, Sox 3 NEXT GAME: May 11 - Paul Konerko Bobblehead Day Last edited by doublem23; 02-12-2013 at 01:00 PM. |
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#66
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Having taken graduate statistics courses up to, and including, Econometrics, I can safely say when it comes to public stat models like this, I'm in the Mark Twain School of Statistical interpretation.
I'm also highly unimpressed with the work of Nate Silver. My reasons were covered over at the PI board, but I'll leave it at saying his self-promotion skills are better than any other skill sets he has demonstrated.
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![]() Hawk fans, remember: baby bruins are cubs.
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#67
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Bring up more historical references to fat please. Because baseball has a 100 year history of fat asses playing well into their late 30's, starting with Babe Ruth. Dismissing my points as "worst outcome" for us and not for them is completely 100% biased of you. You are making stuff up to create a scenario where two of the best players in all of baseball are going to suddenly fall off of a cliff while conversely ignoring the fact that it's more likely that we suffer multiple critical injuries than it is we don't suffer any. And we absolutely need to not suffer any if there's any chance of competing. |
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#68
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![]() This is literally the single worst analogy I have ever read because A) only a complete and utter moron would base probablity on mean and not mode. Like, I cannot comprehend how stupid someone would have to be to make such an error and B) obviously a dice roll is the definition of a random event. Even if you rolled a 6 on a 6-sided dice 10,000 times in a roll the odds you'd roll a 6 on #10,001 is still 1/6. Comparing a weighted, statistical model (such as say... PECOTA) to a truly random event shows a real and fundamental lack of understanding of statistics and probability. Last edited by doublem23; 02-12-2013 at 12:47 PM. |
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#69
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Ah yes, the thrilling work where you note that if you simply alter or ignore reality, his models no longer function. Brilliant!
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#70
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#71
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Since that is not what I said, I assume you did not understand my point.
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#72
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You didn't make one. You only claimed to make one on another board. Spit it out if you want people to believe you.
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#73
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Look, I am not saying that Cabrera and Fielder are going to hit .200 after a Fear-and-Loathing-in-a-Las-Vegas-Seafood-Buffet binge fest, but the fact exists that they are overweight, they are putting extra strain on their bodies, and it could catch up to them via injury or a slow decline. Add in the fact that Cabrera has noted alcohol problems, and he could have a relapse which cost him time or causes him to slump. |
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#74
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There are plenty of people who are going to watch the games because they, you know, LIKE watching baseball. Is watching baseball more enjoyable when your team is doing well? Of course. But I'm not going to be less interested or watch fewer games simply because BP tells me that my team is not going to have a good year. I realize that many fans enjoy the statistical analysis of the game and are distressed that BP seems to have under estimated (on a regular basis) how well their team is predicted to do. But if you're not going to show up to the ballpark simply because BP predicts a bad season for your team, then I've got no answer. I guess it's Reason/Excuse Number 795 why Sox fans don't come to the park -- BP predicted a lousy season. Can't we just see what happens before we give up on the 2013 season (and this is not directed at Kittle42 who I've quoted)?
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#75
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BP is a great read, but their projections are just projections. The "we're doomed" crew will use it as proof the Sox suck. If the projection was for 95 wins, the optimists would use it as proof the Sox would be great. There will be a few teams they will be right on or really close with, and several teams they will be way off. Just go back over the years and check. It's not any reason to be more optimistic or more pessimistic, and it doesn't do anything to prove your stance on either side. Nothing is proven either way yet. MLB isn't the NBA where a chimp could name 90% of the playoff teams 2 months before the season starts. Too many things can happen.
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