CrazyDave
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CLICK HERE to Register for a free account and login for a smoother ad-free experience. It's easy, and only takes a few moments.you don't know what you're talking about. you are saying that Palmer created a stat that said X, and someone else used parts of Palmers research to say Y. that is perfectly reasonable
That's the funny point, statisticians will never say so. The data suggests, research indicates....
I'm in graduate school and it's the end of the semester. Actually statistics is about as far from my areas of interest as anything could be, even if I had the time right now.
I'm sure there are some mathematically inclined fans who will read those articles and explain them to you if you ask them nicely.
7/8=35/50? 7*5=35 8*5=40
What's the success rate of 7/10 then?
I don't know how 7/10 could come into it when we're analyzing 7/8 at bats.
Is it because there are more "stats" to pick from
I think he is doing his best to ignore your evidence because it goes against the 'study' he found that supports his hypothesis that clutch doesn't exist, or is so statistically irrelevant as to be meaningless. Clearly the study of one special individual, Yaz, violates his overarching hypothesis.
I'm sorry, but it's ridiculous to imply that all the players in the NFL perform at the same exact level in relation to each other when under extreme pressure. Which is what being clutch relates to. I know if I have to go up and kick a SB winning FG, I'd buckle, which is why AV gets paid millions and I get paid jack ****. You seem to totally misunderstand the concept of sports with the whole mathematical formula thing.
I think he's pointing out that the article, in a very simple way, blows theories like yours all to hell.
It uses a different metric of clutchness than you do -- namely, important situations in regular-season games. The benefit of that choice, obviously, is that every player on every team can be measured every season.
And it provides strong evidence against the theory that that kind of clutchness goes beyond random chance.
If you're so curious, why don't you go to the link I gave earlier and type in a few numbers yourself?????????
Dude, YOU'RE the one who brought 7/10 up. Nobody else did.
As for the analogy between 7 trials of 8 at .326 probability vs. 35 trials out of 50 at .5 probability -- that's been explained multiple times already!!!!!!!!!!!!
That study SPECIFICALLY mentioned Yaz.
No, emoney did.
there is not formula that can perfectly predict the results of a football game that has yet to be played. is that your point?
however, you can make reasonable guesses. for various reasons, I think the Patriots win tomorrows game about 90% of the time. ie, they have a 90% chance to win the game.
Reasonable guesses...good grief. And WE DON'T NEED STATISTICS TO PREDICT THE PATRIOTS HAVE AT LEAST A 90% CHANCE OF WINNING TOMORROW. IN MOST CASES, STATS DON'T BRING ENOUGH TO THE TABLE.
No, he did NOT!!!!!!!!!!!!
Do you know anything about probability at all? 7 successes out of 10 trials and 35 successes out of 50 trials are NOT the same thing.
Nice post and I tend to agree. I certainly support the concept of using metrics to staff your team. BUT, sports is not the weather. When human beings compete, there is more than physics at work. These intangibles are what makes a player clutch. It would be easy for a team to call it a year down three games to the Yankees in the ALCS. It took something special for Schilling to get out to the mound with his bloody sock. And it isn't variance that raises TB's performance when the game is on the line with time running out.
No, he did NOT!!!!!!!!!!!!
Do you know anything about probability at all? 7 successes out of 10 trials and 35 successes out of 50 trials are NOT the same thing.
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