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Baseball Primer Newsblog — The Best News Links from the Baseball Newsstand Thursday, September 20, 2007Study: Batters may achieve dramatic increases in home runs through steroidsMore grist for the mill…
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"Tobin applied a similar, though less extensive, mechanical analysis to pitching and found that smaller impacts were possible. He calculated that a 10 percent increase in muscle mass should increase the speed of a thrown ball by about 5 percent, or four to five miles per hours for a pitcher with a 90 mile per hour fastball. That translates to a reduction in earned run average of about 0.5 runs per game.
'That is enough to have a meaningful effect on the success of a pitcher, but it is not nearly as dramatic as the effects on home run production," says Tobin. "The unusual sensitivity of home run production to bat speed results in much more dramatic effects, and focuses attention disproportionately on the hitters.'"
How did he calculate that? I call bull
Indeed. What's a Tufts physicist talking standard deviations, outliers, and tails good for when we have the anecdotes of Tom House and Jim Leyritz?
dicks chig the long ball
Tobin is quick to acknowledge that athletes in many sports today achieve at a higher level than athletes of the past, and that this trend is not evidence of cheating. He also points out that many other changes, including adjustments in ballpark dimensions, league expansions, entry of African-American athletes, and lowering of the pitcher's mound, could affect major league batting—although he says that none of those changes coincide with the sudden burst of home run production in the mid-1990s.
"Physics cannot tell us whether a particular home run was steroid-assisted, or even whether an extraordinary individual performance indicates the use of illicit means," says Tobin.
But analysis of the physics, combined with physiology, yields telling results. "These results certainly do not prove that recent performances are tainted, but they suggest that some suspicion is reasonable," he concludes.
Of course the fact that Tobin is heavily credentialed isn't necessarily all that conclusive, since I'm sure that other equally credentialed physicists might disagree with his conclusions, but this is certainly not "psuedoscience."
I did RTFA. While I wouldn't call it pseudoscience, there are IMO way too many concrete assertions and way too little data backing up those assertions in the article.
I would really like to see his study, and how he came up with those concrete numbers. Has Tobin been conducting a study with admitted steroid-using MLB players as his subjects?
In particular, the quote I highlighted before ("a 10 percent increase in muscle mass should increase the speed of a thrown ball by about 5 percent") ... it seems like it would take a life's work to arrive at a number like that. Experiments with control groups would be extraordinarily difficult to arrange, and require years of evaluation. Were there experiments, or is this all theoretical? Did he ever have a coach that told him long toss would help him more than lifting weights would? That sentence smells like bulls--t so bad.
In addition, if you RTFA, you get this whopper:
Huh? In 2003 there were more HRs hit than in 2002. I don't even know what he's talking about.
Unanswered in the release are questions like: if he thinks there's a 5% increase in pitch speed due to steroids, how much of that is transferred into ball speed off the bat? Is it part of the 4% increase he's attributing to steroids, or in addition to it?
The irony of this comment is sublime enough to be ridiculous.
EDIT: Sorry - I didn't RTFA until after my post (pseudoposting). One would be well advised not to believe a word of any press release on science. The MSM and most bloggers screw it up more than Joe Morgan explaining VORP. If Prof. Tobin's paper is published and contains a methods section that could be replicated or refined, it's science. Even if it's wrong. I was mostly reacting to far too many "reports" in all fields of science that don't bring a full description of methods and supporting data.
I knew it! I knew Jerry Hairston Jr. was only a 1-2 home run guy!
But pondering Ozzie Canseco's adjusted power numbers just fried my mind.
Paragraph 2 of the linked article: "Tobin, a specialist in condensed matter physics with a long-time interest in the physics of baseball, will publish his paper "On the potential of a chemical Bonds: Possible effects of steroids on home run production in baseball" in an upcoming issue of the American Journal of Physics."
A small percentage increase in distance hit will lead to a much larger impact on home run numbers. Imagine 10,000 balls hit toward the 385 foot sign at Yankee Stadium. No ball hit 380 feet will be a home run. Every ball hit 395 feet -- an increase of less than 4% in distance -- will be a home run.
Yeah well, weight training without steroids or other PEDs may also lead to modest increases in muscle mass
He's quantifying the affect of steroids on batted ball speed, which is, by his own admission, only a educated guess.
He's then demonstrating that a faster batted ball leads to more home runs, which doesn't take a condensed matter physicist to figure out.
I do like his explanation about the distribution of batted balls and how nudging the midpoint to the right can dramatically impact the tail.
Hey, there's your control case. Identical twins, one juiced, one didn't(?). One hit 462 home runs, one hit 0.
Also, the A's drafted Jose in the 15th round, while the Yankees drafted Ozzie in the 2nd round. Heh.
Does data exist on fly-ball distances? How fine is such data collected by Stats or BIS? Has anybody looked at how the distribution of fly balls has changed over time?
Likewise, does data exist on pitch speeds? It sure seems like there are a lot more guys who throw 90+ and 95+ than when I was a kid (1970s - early '80s) but is there data around to check such a thing?
This seems like more of an empirical question than a theoretical one (I would think the theory would come once you've established that fly balls are actually going farther in trying to determine whether that can best be explained by steroids or by other factors).
The professor's study ought to be exactly what anyone with any interest in the subject (on any side of the debate) desires. Is it the last word? No, of course not. But why not wait and see what and how the man argues before calling for his firing?
And the fact that it's "theoretical" (which I assume it is) is no knock against it, either.
Really?
I didn't mean to suggest that it is. Only that I'm more interested in the empirical question of how many extra home runs were actually hit. I think the theory is obviously going to be important in helping to make sense of the empirical data, but you're going to need to look at empirical data to answer the question.
Good point. And one of those empirical studies might consist of tracking the distance of Barry Bonds's home runs over the years. Is there enough contemporary data (newspaper accounts, tapes, etc.) for that to be possible?
I've read that nearly all of his tape measure jobs took place post-1998, which would be very interesting if true, but the question is: Is that true? And can we find that out?
And before someone jumps in, I should add that if this were demonstrated to be not true---if Bonds's average home run distance had not increased over the past nine years---then that would be interesting as well.
And I would think that this is the sort of information that anyone without an axe to grind might welcome.
True. But that goes both directions. Intuitively, the claim seems to be reasonable and Tobin's qualifications seem to be good. My guess is that my thin knowledge base will leave me unable to comment intelligently on the validity of the study itself, if and when people here can read it, but I will try to check it out and listen to informed opinions.
I don't like using a pun on Bonds' name in the title, in that it isn't particularly funny, and it could be construed as indicating an agenda, as does the quote excerpted by PreservedFish in #12.
Do you see Andy or I claiming anything other than this is interesting and it will be interesting to read his article?
I agree, but I bet it helped him get funding and/or attention.
Hey, there's your control case. Identical twins, one juiced, one didn't(?). One hit 462 home runs, one hit 0.
Jose wrote about brother Ozzie's steroid use in Juiced. Ozzie also did some jail time for steroid possession.
I wasn't criticizing his conclusion. Pseudoscience can be correct. He may be dead on, but if he doesn't publish his methods such that someone could, if they wished and had proper training, replicate it, then it isn't science. That by itself isn't enough to say he's wrong.
I was mostly referring to SBB. Additionally, neither you nor Andy is approaching this by suggesting possible faults in the study, as other people are. And your admonishing people and labeling them--"The Kool Aid Krowd"--is hardly news.
Almost everyone's posts--mine included--are generally fairly predictable in steroids threads.
No matter how smart he is and how reasonable he is trying to be in his assumptions and interpretations, the fact remains that he is, in essence, pretending to have isolated a variable that he has not isolated. That's not a criticism; we all do this sort of thing all the time, and as long as we acknowledge that it's not the same as really doing a controlled study, it's fine for the sake of argument. But the question is unanswerable in any meaningful scientific sense.
Well, it wouldn't be easy and I don't know if the data even exists to do it, but thinking off the top of my head: The key would be to put together a distribution of fly balls hit by distance and see how that distribution has changed over time.
Has the mean increased over time? If so, how does that translate to an increase in home runs (that is, this should help you to control for the impact of smaller ballparks; it might also address the possibility of a juiced ball, as that will affect steroid users and non-steroid users alike)?
If the assumption is that steroid use wasn't ubiquitous, then you'd expect the use of steroids by some players to also affect the distribution itself - I think it should skew to the right. I'm not sure how one could do something with this, but if you think of two distributions, a non-steroid user distribution w/ mean x and stdev s, and a user distribution w/ mean x+i and stdev s, if you have some best guess for i, might empirical data help you estimate what % of hitters were using (or, alternately, if you have some best guess for % of users, you could maybe try to tease out i).
None of this would be easy, of course.
Alternately, Andy's idea would be interesting: look at results for specific players. For those (very few) that we think we know when they started using, would that tell us anything? I'm uncomfortable morally with doing something like looking at changes in fly-ball distances for player Z and concluding that there's a P% chance that he used steroids, although I think that's the sort of conclusions that one might be able to draw. Which would be interesting from an academic perspective, although I wouldn't want to see this sort of information used to punish players based on mere probabilities.
We're suggesting that we all will benefit from reading the study. Why would we suggest that the study may have possible faults - that's true of every study and doesn't require mention. We can play "moral equivalence" game, but if you find our statements equivalent to guys calling this pseudoscience and disparaging the researcher, I'll suggest you're off base.
Take that up with the numerous posters who have done so throughout the thread then.
Fair enough. But, "pseudoscience" and "Kool Aid Krowd" seem relatively similar to me. And it is not a moral issue, nor is it a game.
That sounds good, but HRs didn't really drop since 2003 -- they've been within the same amounts, by and large, as they were during 1998-2002.
I also find it curious that, IMO, the most vital question of how just how much increased muscle mass, etc. affects the speed of the bat, pitch, etc. as well as whether it affects things such as flexibility. Tobin, a physicist, seems to be taking these factors as givens (10% in force and energy on the bat, for instance), a question I don't believe is a matter of physics so much as medicine.
OTOH, if indeed PEDs can be mesured to have these effects (and I strongly suspect that they vary from one PED to another), than I would certainly think that Tobin is well qualified to calculate the back half of the equation -- namely, if a pitch has X energy and a bat has Y, what affect with that have on a batted ball.
Even here, though, he could only make general assessments, of course. Pitchers do throw breaking balls, of course, and there are matters such as barometric pressure, wind conditions, and other variables at play.
I'm a social scientist by trade, so I'm more used to looking at the data that you can get and seeing if it tells you anything, moreso than forming a rigorous hypothesis and then doing an experiment that controls for all other possible factors. And oftentimes, the data tells you nothing.
I do think that looking only at Bonds's fly balls may not tell you anything that we don't already know - he hit a lot more home runs from 2000 on. Looking at major-league players as a whole or at groups of players about whom we know something of their usage (ideally, both known users and known non-users; in a way, the latter's the more problematic group to identify) may tell us something.
Also, as a social scientist, I think in terms of probabilities, not "proof". It is not possible to "prove" that Barry Bonds used steroids based on his baseball statistics.
One guy labelled it "pseudoscience." Not "guys." Not "Kool Aid Krowd."
Tufts put out a press release in advance of a study's actual publication. They pimped for coverage with quotes that raise immediate questions in the absence of that study. Despite your attempt to indict everyone here who asked those questions, there's nothing wrong with asking them.
It's exactly the kind of reaction Tufts P.R. office wanted anyway.
Here's my assumptions: Normal distribution, average flyball distance = 250 feet, HR distance = 380 feet. I assume 1 standard deviation = 130 feet, as that would give a HR% of 16% on flyballs, not an uncommon percent for a guy who is already a power hitter.
Now give him steroids and assume that he can hit the ball 4% farther. His average distance is now 260, one SD is 395, so a homerun is anything hit over 0.9 SD's instead of one. He know hits homers on 18.4% of his flyballs.
Given 150 flyballs, he hits 28 instead of 24.
To get a 50% increase steroids would have to increase your average distance by more than 4%, or homeruns would have to be a much more rare occurrence than they are - perhaps a weaker player could go from 6 homer to 9 in this model.
In other words, bigger guys will hit more home runs.
Since I have never heard anyone suggest this before, it is indeed ground-breaking.
Of course, since steroids are the only way to add muscle mass, all the increase must be due to steroids. Now if there was some other way to add muscle mass, like exercise or legal supplements, or such. Too bad nobody ever thought of that.
It will be interesting to see if he can demonstrate the difference between adding 2 pounds or 5 pounds or 10 pounds or 15 pounds. And where the placement of the muscles is -- arms, back, legs, etc.
Those will be very interesting figures.
But if increased mass and increased bat speed allow for a hitter to wait longer to recognize a pitch and hit it "squarer" that is also a benefit that can lead to increased home runs.
Yes...and the infield fly rule will become the outfield fly rule.
Here's my assumptions: Normal distribution, average flyball distance = 250 feet, HR distance = 380 feet. I assume 1 standard deviation = 130 feet, as that would give a HR% of 16% on flyballs, not an uncommon percent for a guy who is already a power hitter.
I don't think flyball distance is normally distributed. It's got a high skewness.
Like Bobby Abreu doesn't have enough problems as it is. Now he has to try and catch 10,000 baseballs.
My guess (thoroughly unscientific) is that a combination of HGH and steroids is as magic as Viagra and Pam Anderson.
Just to make myself clear, I was specifically attempting to discover the sort of data that might correspond to increased muscle mass: home run distance. As in average distance, plus the relative numbers of his longest home runs in each year. I don't see how that could possibly not be at least somewhat related to muscle mass.
(And yes, Srul, we know that steroids aren't the only way to increase that muscle mass. What a revelation.)
It does seem that this would correlate with Bonds's home run rate, since presumably if Bonds's average home run distance increased by (top of my head number) 15 feet, then a certain percentage of warning track fly balls would get over the fence. But I wouldn't think that adding this data to the tracking of the distance of actual home runs would change the overall implications of the results of a strictly home run distance study.
I don't see anything wrong about beginning this sort of a study with Bonds, since we have had evidence of when his juicing began. And if the results show that his hyped up home run distances didn't in fact correlate to his steroid years, then that would seem to me to be a powerful piece of evidence that lots of us may have been wrong, either about Bonds or the PE effects of steroids, or both. And I'd be the first to admit it, since this has never been a crusade against any individual player on my part.
Also, as a social scientist, I think in terms of probabilities, not "proof". It is not possible to "prove" that Barry Bonds used steroids based on his baseball statistics.
As a layman, my bias is towards publishing all the facts that one can, and then letting people argue about what they mean or don't mean. Whether it hurts or helps a particular player's reputation will have more to do with what may be discovered than anything else. Whether one calls his conclusions "proof" or "probability" (with percentages added if warranted) isn't all that important, since both assertions are going to be subject to the same sort of cross-examination anyway.
Of course there are other factors at work, such as the trajectory of his swing. But certainly there are game tapes galore to take this into account.
Everything I've written about Bonds and steroids in general has been based on my interpretation of what I've seen put out there. And so far it leads me to the conclusion that Bonds juiced, and that it helped him pad his home run totals beyond what they would ever have been without the juicing. This is a pretty standard conclusion these days, although the estimates of the padding obviously vary.
But I also am more than willing to take new empirical evidence about Bonds into consideration, and if that evidence points contrary to what I've thought so far, so be it. Which is why I think that this sort of a study might be very interesting.
You're probably right, I'm not sure what the distribution would like like, but I don't know if it would change the results much. The professor seems to be talking about something pretty close to a normal distribution:
"In most any statistical distribution -- of people's heights, SAT scores, or how far baseballs are hit -- there's a large bump where most of the values fall, with the graph falling rapidly as you move away from that region in either direction toward the rarer values,"
When you have an answer it is very easy to go looking for questions that "proves" the answer. Virtually anything we do in regards to Barry Bonds is going to come back as proof of steroid use. Even if for some oddball reason whatever did happen had nothing to do with steroids. Why? For me it is because we already "know" the answer. We know Bonds did steroid therefore anything unusual we find in Bonds will indicative of steroid use.
For instance this guy from Tufts took the steroid slant and even decided ahead of time to rule out all these other factors. Which was truly bizarre as already pointed out. This guy is not the first to do it we have had many many studies in which the conclusion was steroids and usually all the other variables get brushed aside into one wide sweeping statement in which the researcher recognizes that these other variables play a role but couldn't possibly play this large of role therefore it is steroids.
Speaking of which--hey all you history geeks, has sports also been a big deal in Western culture? Were there ever times when nobody gave a crap because they were too busy going to plays or arguing about angels on the head of a pin? Is the exaltation of sports a recent phenomenon rising with the rise of the middle class and industrialization? Huh huh huh?
When you have an answer it is very easy to go looking for questions that "proves" the answer. Virtually anything we do in regards to Barry Bonds is going to come back as proof of steroid use.
But if we're interested in testing our hypotheses, then the more data we can come up with, the better.
And what if my proposed HR distance study showed that Bonds had not increased his home run distance in his steroid years?
To me that would lead to one of two possibly inescapable conclusions.
Either he really hadn't been juicing, or....
The juicing had no effect.
Which would certainly force me to reconsider my opinions about both Bonds and steroids.
And if anyone had the time, money and inclination, he could also do similar studies of any other player he wanted. I mention Bonds first because of his high profile both as a juicer and as an already established Grade A all-time hitter, but I'm not saying to restrict a study like this to Bonds alone.
WRT the Tufts guy, I'm not attacking or defending his study until I've seen it, beyond defending his right to publish it and my curiosity to see what it might say. But my idea for looking at Bonds's home run distances was completely independent of that.
Depends what you mean by Sports.
Chariot racing was HUGE in Rome, and later in the Byzantine Empire. Gladitorial games were pretty big too. During the Dark and Middle Ages, I thing people were too busy dodging Huns and Vikings. Jousting and combat games were big in the late Middle Ages, part sport, part training.
I think it has to do with prosperous urban societies, though I'm no expert.
Lets look at this one at a time.
Ballpark dimensions: Have gotten deeper an avg of 4-5' over the past 40 years. Especially when the last wave of ballpark construction kicked in. Mostly deeper in alleys and poles, shorter in center.
League expansion: Two expansions in this period. Obviously a help.
Black athletes: Why did he bring this up? While the talent pool has been growing, Japan didn't just open up at once.
Mound: That was what, 1969?
This article was not too convincing to me, but worth looking at when the data is available. I think there are too may factors to just point out one that caused the scoring jump of the 90's.
Let's assume for the sake of argument that Tobin isn't just talking out of his butt on the muscle mass to distance phenomenon, and let's also assume he hasn't spent years doing secret detailed studies with real major leaguers.
Wouldn't the muscle mass business have to be based on some study of major leaguers? He'd have to take their weight, infer from that (and perhaps body type, and/or body fat percentages, assuming those figures are available or can be usefully generalized) the amount of muscle in a body, estimate muscle mass, then do a comparative study: existing players with more muscle mass and the distance of their hits/home runs versus existing players with less muscle mass and the distance of their hits/home runs.
How else would you do it?
There's nothing wrong with the study per se, Andy. But as others have noted, there are simply too many variables. You can tell us that Bonds started hitting fly balls x% farther on average in 2000, but you'll never be able to tell us why with any scientific certainty. You would first need to go back in time and have Bonds spend the 1999/2000 off-season working his tail off in the wight room, without using any supplements, and then play a season to measure the effect of that. Next, crank up the time machine again and add creatine and any other legal supplements you like to the off-season regimen and replay the season to measure the incremental benefit of those changes. Finally, rewind once again and add the cream and clear this time. And even though my little thought experiment "controls" for age, there are still about a bazillion other confounding factors that I've left out.
I'll briefly toot my own horn by noting that I've asked the Bonds "distance through videotape" question several times. It seems eminently doable.
I'll add the observation that not only could you get distances from videotape, but you could also work backwards to bat speed by going frame by frame and getting velocity off the bat -- essentially the same thing.
Golf ball distance was limited by the USGA at one time (I'm not sure if it is anymore) by essentially these means -- a robot hit the ball and if its velocity off the club was too high, it was an illegal ball.
Also, I wonder if his "50%" headline and the much smaller calculation I came up with above has to do with this:
You have to look at flyballs, not batted balls, and by doing so homeruns become much less of a rare event. Even Conan isn't going to hit a groundball hard enough to turn it into a homerun. Willie Wilson might on astroturf, but we aren't talking about inside-the-parkers here.
I doubt very much that his study involved major leaguers in any way. The press release says that he reviewed previously published studies of steroid benefits to come up with those percentages. I'm not aware of any published studies of steroid effects that used major league baseball players as test subjects. Presumably he used whatever studies he could find of healthy, young, well-conditioned males to estimate the average benefits in terms of muscle mass and efficiency.
There's no reason you couldn't do that with video. If you can get all that info with the Zapruder tape, you can get it with a baseball swing.
What does his GB/FB graph look like over time?
He definitely increased his FB percentage over time:
Year---GB/FB
1987---1.13
1988---0.85
1989---1.03
1990---0.83
1991---0.87
1992---0.74
1993---0.75
1994---0.72
1995---0.72
1996---0.71
1997---0.76
1998---0.63
1999---0.62
2000---0.57
2001---0.56
2002---0.65
2003---0.65
2004---0.75
2005---0.50
2006---0.66
2007---0.97
RDF Mr. Murphy.
Best Regards
John
500 ABs with 140 Ks is 360 balls put in play. In his lowest GB ratio year, 2001, 64.1 out of every hundred balls in play were fly balls, giving him on the assumptive numbers used here, 231 fly balls.
In a year like 1997, only 57% of the balls in play were fly balls which, out of 360, would be 205 fly balls.
So I'm thinking roughly 26 extra fly balls in the high fly ball years and in a 40HR year around 1 HR per 5 fly balls, so the fly ball effect alone would give Bonds somewhere from 5-7 extra HRs. The 73 would be 66-68 otherwise ... still pretty suspicious and still an outlier.
I thought the numbers would be a little better for Bonds, but they are what they are.
Make of it what you will.
Steroid use by pitchers enhances home runs. Everything else equal a ball thrown harder will fly further when hit.
The stats/features of the steroid era reflect exactly what one would predict -- harder pitches, more strikeouts, more home runs.
We had a thread maybe 3-4 weeks ago that got into this. Bonds actually didn't increase the raw number of fly balls that he hit very much at all in his peak years of 2001 - 05 because he started drawing those absurdly high numbers of walks, so he hit a higher percentage of a smaller number of balls-in-play. In 1997, he had 445 non-K ABs, whereas in 2001, he only had 383 non-K ABs. ESPN lists total FB and GB numbers for players by season.
There's nothing wrong with the study per se, Andy. But as others have noted, there are simply too many variables. You can tell us that Bonds started hitting fly balls x% farther on average in 2000, but you'll never be able to tell us why with any scientific certainty. You would first need to go back in time and have Bonds spend the 1999/2000 off-season working his tail off in the wight room, without using any supplements, and then play a season to measure the effect of that. Next, crank up the time machine again and add creatine and any other legal supplements you like to the off-season regimen and replay the season to measure the incremental benefit of those changes. Finally, rewind once again and add the cream and clear this time. And even though my little thought experiment "controls" for age, there are still about a bazillion other confounding factors that I've left out.
I'd have two responses to this:
Depends on how much the differences were (if in fact there are any at all), and
Depends on what level of conclusiveness you're trying to demonstrate.
To take the extremes here, a tiny or nonexistent difference in those home runs distances would suggest the strong possibility that either Bonds or steroids (or both) have been unfairly maligned, whereas a large jump in average distance combined with a finding that nearly all of his longest home runs occurred during his steroid years would suggest the strong possibility that not only was Bonds juicing, but that the steroids added to his home run power.
Note my emphasis in both cases on "possibility." I do this both because of the inherent imprecision of any such findings, and because one person's "strong possibility" is another person's "proof." And we can go back and forth on that for years without getting anywhere. Much as everyone here hates to admit it, there's always going to be a fair amount of subjectivity entering into our judgments, based not only on what we may think of particular players, or even of particular drugs and our differing concepts of sportsmanship, but also because some of us think more like lawyers (with strict rules of evidence) or scientists (with high standards of "proof"), while others among us are simply trying to make a good educated guess about probabilities, based on whatever credible evidence we might find. Obviously I'd put myself in the latter category, but the former is certainly an equally valid way of looking at things, as long as it's made clear what is and is not being claimed.
A little bit of you rubs off every now and then, John. ;-)
maybe, but it still means better performance by the pitchers. possibly averaging more strikesouts per game.
I don't see how this gets us anywhere. We already know he hit more home runs. Let's assume the distances were longer (and I don't know how you plan to get accurate distance measurements). So what? The question is still what caused these things, and we're no closer to showing that steroids did.
I find it somewhat droll that amidst all the charges of creationism, I'm the one who seems interested in discovering new empirical evidence, and the anti-creationists seem to want to dismiss it before it's even gathered. I'm certainly not saying that whatever findings we might come up with would constitute 100% conclusive proof, but to say in advance "I don't see how this gets us anywhere" doesn't strike me as particularly "scientific." It sounds to me more as if you've arrived at your conclusion and don't want anything to disturb it.
And your conclusion? I might paraphrase it along the lines of "You can't prove he juiced, and even if he did, so what?" Hard to argue with that sort of a moving target.
And if this is a distortion of what you believe, then please explain in specific ways how it's a distortion.
Perhaps you do think that he juiced, and perhaps it does matter to you if he did. Perhaps you're merely waiting for better evidence to emerge. In that case, then, how would you suggest going about getting such evidence, other than waiting for Bonds to confess and admit that he couldn't have done it without the juice?
Where on earth does he come up with this equation??? 10 % increase in "muscle mass" = 4 mph faster = one fewer earned run every other game. Every single step of that is pure garbage.
Not to mention how terribly myopic the conclusion is. Take, as an example, Dontrelle Willis. If you increase his muscle mass by 10% and follow the equation, you've changed him from a 3.79 ERA pitcher, ranked 23rd among active pitchers, into a 3.08 ERA pitcher, ranking 2nd. If you increase Roy Oswalt's muscle mass by 10%, he becomes the greatest starting pitcher in the history of baseball. One wonders why he doesn't spend more time in the weight room! This simple cluelessness about baseball suggests that the rest of the study will be rife with errors.
That's not fair. How can you draw any conclusions at all from an excerpt? You're reading a one-page blurb that summarizes the conclusions of a scientific study in layman's terms. You could be right, but how can you possibly conclude that this is "pure garbage" when as you yourself acknowledge, you have no idea how he came up with the equation?
And how are you drawing your conclusions for Dontrelle Willis and Roy Oswalt? The excerpt you quoted doesn't give you any ability to do so.
He calculated that a 10 percent increase in muscle mass should increase the speed of a thrown ball by about 5 percent, or 4 to 5 mph for a pitcher who throws a 90-mph fastball.
That could translate into one fewer earned run every other game.
Oswalt has started 208 games. Remove 104 ER (one every other game) from his record and his ERA and ERA+ go to 2.42 and 181 respectively.
I find it somewhat droller that the more you go down this path, the more you sound like a creationist. This comment, for example, is exactly the sort of response you get from a Discovery Institute type ("these nasty closeminded paleontologists won't investigate my 'theories'") when it's not-so-gently pointed out that their "evidence" of "signs of intelligence" can't actually be tested scientifically.
That could be a sloppy quote from Yahoo. From the article linked here, which I quote in #3 above, "That translates to a reduction in earned run average of about 0.5 runs per game." Lower Oswalt's ERA by 0.5 and his ERA+ is 169. Sure that's high, but is it really inconceivable for an elite pitcher who hasn't sniffed his decline phase yet? And besides, who's to say that Oswalt's ERA isn't already lower by 0.5 or that Tobin's equation would suggest that Oswalt's ERA would go down that much.
This just reinforces my point - there's absolutely no way to draw any conclusions about his conclusions without knowing exactly what they are and how he arrived at them.
still absurd at 0.5 run.
Since when is velocity so easy to isolate over location and change of speeds??
bye bye.
Except that the claim is that a pitcher's ERA would drop by half that.
I agree with the latter point, but as to the former, very, very few pitchers have had a career ERA+ as high as 169 at any time in their career. Aside from Pedro and Walter Johnson, I don't there are any. OK, Fernando Valenzuela after his first 8 starts, but certainly none with over 1400 IP.
Yeah, I have to admit that I was surprised to note that a 169 ERA+ would be the alltime leader by 9 points. I'm skeptical that Roy Oswalt could become that good. But that quickie blurb doesn't say that Tobin really thinks he could either.
Where did you get it?
I yam what I yam.
I asked the author for a copy.
Because I cannot imagine that he did the research to support those claims.
If someone published a study that asserted, convincingly, that a 10% increase in muscle mass would add 4-5 mph to a pitcher's fastball, that would be a landmark study far more important than the conclusions presented in this one.
If someone published a study that asserted, convincingly, that a 4-5 mph increase in velocity would drop your ERA by 0.50 or more, that would be a landmark study far more important than the conclusions presented in this one.
Either one of those would have to have years of experiments with control groups of professional baseball players, massive amounts of aid from physiologists, access to statistics of unprecendented depth (pitch speed velocities for every game going back a generation), etc.
And yet, those two equations are just baby steps, almost tangental ones at that, in a study that presents the not exactly earth-shattering thesis that steroids might help hitters hit a lot more homeruns. I just don't buy it. It seems totally impossible to me.
I find it somewhat droller that the more you go down this path, the more you sound like a creationist. This comment, for example, is exactly the sort of response you get from a Discovery Institute type ("these nasty closeminded paleontologists won't investigate my 'theories'") when it's not-so-gently pointed out that their "evidence" of "signs of intelligence" can't actually be tested scientifically.
Well, given that I've been referred to as a "steroid McCarthyite" who supports congressional "Stalinist show trials" (i.e. the steroid hearings), I guess "creationist" is a relatively mild mannered putdown. Chip is clearly the kinder and gentler version of Primate we're now getting in these steroid wars.
OK, Chip, I won't insist that any findings of these distance measurements be taught in the public schools of Kansas. Your children will be safe.
But if ever such a study is made, it still might be interesting to see the results, even if Chip and his friends will greet them with cotton in their ears and duct tape over their eyes, screaming at the top of their lungs that they don't mean anything. And the rather hysterical reaction to even a suggestion of such a study might possibly suggest that certain people might not like what the results of that study might be.
The underlying assumption that all that was new was steroid use, rather than the general acceptance of the idea that building up muscles would make you a better hitter, is just not true.
Speaking of hysterical reaction.
Thanks for continuing to reinforce my analogy.
If you did such a study, you might come up with evidence that Bonds was stronger post 1998. Is that in dispute?
Probably not, but you never know what such a study might discover, which is why I think it would be an interesting one to undertake. And BTW I am not saying that the results would "prove" anything, only that they might suggest one interpretation over another. Steroids might well be a strong factor in any demonstrated gain of strength, but I'm not saying that they would be the only factor.
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