Implicit Acceptance

If I gave you a number series of 29, 109, 200, what would you think it meant? You’d have no idea, right? In order for these numbers to have meaning, you have to give them names, and this is where historical circumstance creates problems. If the technology and investigation into statistics wasn’t very good, then there was little verification of the validity of these statistics, and if there was no verification, then we don’t know exactly what the numbers are telling us. When they named those statistics, however, they gave those numbers meaning, but the meaning wasn’t always accurate because, again, there was no investigation into the statistics before introducing them to the public. It wasn’t laziness. It wasn’t stupidity. It was a combination of something with little importance at the time (the importance of stats has since grown with the introduction of awards and the growing value of players, thus necessitating analysis) and insufficient technology. There really wasn’t anything they could do, and they had to name the statistics to tell people what they meant according to what they understood the statistics to mean. So, when I tell you those numbers at the beginning of the paragraph mean Robinson Cano’s home runs, RBI, and hits, you understand the numbers in their context. They now have meaning. But these numbers and statistics are fairly benign. Home runs are home runs. RBIs are the number of runners knocked in by a hitter. Hits are the number of hits a player had. There’s nothing controversial about them on the surface, but let’s look at some others that have more of an implication.

Batting average is easy enough—the number of this divided by the number of at-bats—but its history is not. Henry Chadwick developed the box score, and he didn’t think walks were manly or important. He left walks out of the box score and gave no credit to the hitter for getting one. When someone else came along to divine batting average, they used hits over at-bats because that was what was available and perceived as important. So let’s look at the name—batting average. It seems benign enough, but the name carries weight. By saying the word “batting”, it implies that this average indicates all that is important about hitting, but we know now that walks are important, though probably ever-so-slightly less so than hits. However, because no one questioned batting average for decades, it gained implicit acceptance because it was never refuted, thus somewhat unwittingly reaffirming its value. Sabermetrics has asked the question “Is batting average all that is important in hitting?”, and they answered no after investigation and testing. Batting average still plays a role in newer statistics, but newer statistics have adjusted to account for what batting average left out—walks and the difference between singles and extra-base hits. When saberists name their statistics, they try to be more accurate with their naming, but again, those names carry weight and sometimes more than they can carry. But they’re trying to get better.

Wins have really been in the news lately, and while some have used Felix’s win as the demise of the statistic, I think it’s still alive and well. But let’s take a look at it. Imagine being in our forefathers’ shoes. People want to know how to differentiate between pitchers, but how does one do that? There are no computers or since-accumulated knowledge. So let’s look at this in a very basic manner. Day by day, the team plays games, and there are eight guys who essentially play every one of those games. But guess who’s different? The pitcher, of course! So if the team around them is the same and the only thing that changes is the pitcher and the game’s outcome, then the pitcher must be the difference in the outcome! So, you can look at the team’s record in the games that that pitcher pitches, and the records correspond with the quality of the pitchers. Sounds good and logical, right? Well, at least when pitchers completed games it had a stronger correlation, but we know that things aren’t equal day-to-day—there are different teams faced, varying levels of offensive output, and different parks. Add the diminishing amount of innings pitched by starters and the corresponding increase in bullpen innings pitched, and that’s a lot of other things involved in the win than simply the starting pitcher. However, the term “win” causes problems when the pitcher is the only one receiving credit for the win (why not give the first baseman a W-L record? the second baseman?). The implication of the term, especially when it is called a pitching statistic, is that the pitcher is responsible for the team’s win, but we know the pitcher is not solely responsible. No one, however, seriously questioned this until a few decades ago, and like batting average, it gained implicit acceptance as a result. If no one calls it out, it must be right, correct? And when the object of the game is to win, it makes the statistic seem so much more important than other pitching statistics. If only it had been named something else.

I could do this all day, but I think you’ve gotten the point. Look, we all want to point the blame somewhere, but sometimes, stuff happens that is out of our control. Traditional statistics developed problems because of a variety of reasons. Sometimes, it was misguided machismo, and sometimes, it was a lack of available technology. Numbers were given names, and those names carried meaning. When no one challenged them, the meaning gained power and authority without anyone giving it to them, and eventually, people even gave the meaning that tangible power. As saberists have challenged these statistics, their argument encounters the neglected might of language, time, and reinforced belief. Saberists often challenge the names of the traditional statistics, but I don’t know that we delve into why those names have so much power. When these names are confronted, it’s hard to understand how we could have been wrong, or at least misguided, for so long. How could no one have noticed? If there was something wrong, we should have seen it, right? Our implied ignorance of the problem implies that we are stupid and/or negligent. The thing is that this isn’t what is going on. We believed what we did because A) it was what our forefathers declared, B) it seemed logical at the time, and C) we kept believing it over and over, through generations, and reinforcing its power by passing it on. It added up to some misguided beliefs, but there is no shame in it. Things like this happen all the time—Columbus can just sail west and hit India, the rain gods withhold or grant rain based on how happy or unhappy they are with us, etc.—but we eventually figure it out and usually as a result of having the necessary equipment, discovery, or technology. That shouldn’t be a criticism of the human mind. The ability to figure out our mistakes is a testament to human intelligence. It might take a while, but we undo previously-held beliefs all the time. After a while, those challenges become new previously-held beliefs, and they may need to be challenged (advanced statistics need to be challenged, albeit to improve them and not to destroy, and they already are). Don’t be afraid to learn. Embrace it. It’s what makes you human (though animals also learn and adapt, but I mean that we learn abstract morality and thought). You’ve always loved statistics and have always used them no matter which side you identify with. Don’t make these arguments about stats versus intangibles because it’s never been about that. It’s always been a power struggle over which stats to use and the credence and authority gained from winning that battle. And I’d argue that it’s, most importantly, a power struggle over the right to use certain words to name those statistics, with the term “win” pushing toward the forefront.

13 thoughts on “Implicit Acceptance

  1. Lazolo's Other

    I've always thought that the biggest problem with stats is that everyone is convinced that "their" stat is the best, be it wins or FIP. All stats are flawed, and all need to be interpreted. I still like wins, BA, RBI, and HR, but I also look at BABIP, OBP, OPS, FIP, XFIP, WAR, etc. I don't see sabermetrics as replacing the older stats so much as adding value and clarity.

    So, wins are good, but Felix obviously deserved the Cy. RBIs are good, but taken in relation to BA with RISP. Sabermatiricians shouldn't assert that "wins' are useless (C.C.'s 21 were a good indication of how he pitched this year), and ":old-timers" like me shouldn't over value wins, claiming C.C. should get the Cy because he won 20. After all, he pitched for a team with a dominant offense (Felix was the most dominant pitcher in the AL and deserved the Cy, wins not withstanding).

    I like the old stats,I'm open to the new stats, and I enjoy them all. I also enjoy IATMS.

  2. Mark Smith

    We're glad to hear it.

    On the stats, I really like your line "All stats are flawed, and all need to be interpreted." The WARs are the closest thing to being a be-all-end-all statistic, but their components are far from perfect. When I have taken a look at the awards, I've started at the WARs, but I've had to delve deeper into them to see if there's anything fishy. If there is, I try to adjust the values. No stat is perfect, as you mentioned, but the idea is to understand what those flaws are and take precautions when using it. As for the difference between new and old, I would argue the old ones have more and more significant flaws, but no one should take the new ones for granted either.

  3. Dave

    I once heard a good quote about stats, which I think is relavent to this discussion. "Statistics are like bikinis; they are important for what they show, but also for what they don't show." I don't think this case is any different.

  4. moooose

    I think a lot of the problem is the age old struggle between rational and intuitive analysis (disclaimer, I'm a judgment and decision researcher, so I think everything is). Our guts tell us one thing but these numbers often say something different. A walk seems like the pitcher's fault, not the batter's skill, running fast and catching a ball seems to require more skill than being in the right spot in the first place. It's hard to get over our intuitions, even when we know better. I think it's the same mental process that causes people to bet on red in roulette after a run of black. Red is "due," after all.

    • Mark Smith

      In a way, that's what I'm saying. Your gut intuition, however, is the result of this implicit acceptance. You grew up with certain statistics and have learned to intuit through them. I agree that this is difficult to get through these, which is why I plan to keep attacking this from all sides until we're all happy, damnit. :)

      • moooose

        Mark, I agree, but I also think that these stats flourish because they appeal to our flawed intuitions. I also think that baseball professionals believe that their intuitions are better than the statistics. At least Joe Morgan does.

        • Mark Smith

          It makes me wonder if things would be different if baseball had been invented 30 years ago instead of 130. If statisticians would have had control over the statistics and baseball analysis instead of journalists/managers/players. It's not worth asking "what" would be different or if things would be "better" the other way around, but it's worth knowing that things "could" be different, if for nothing else than to know that what happened isn't the natural answer.

          About intuitions, I think we're in agreement that they influence our behavior. But isn't it necessary to get people to look past those intuitions to actual evidence? It certainly explains behavior, but why does it influence behavior? Is it instinct? Is it socialized? Is intuition an evolutionary adaptation? I think we agree that intuition matters, but I'm trying to ask why it matters.

  5. spinner

    By your post you seem to possess a true desire to understand, but you miss the mark. I am a firm believer in traditional statistics, and I have always recognized and acknowledged their flaws. I think this is largely true about most traditionalists. When saberists insist that traditionalists don't understand these flaws, it's very insulting, and it desensitizes us to what else you say. At the same time what I see conveyed about the advanced metrics always seems to ignore or downplay their flaws. Sometimes it is suggested that the flaws can be eliminated, but then it is left as an exercise for the reader to undertake the far from trivial task of doing so. This further amplifies the distrust we see the saberists propagating. Witness as example, the practice of using field effects to adjust a statistic for a certain-handed pitcher, when in reality the field effect in question is only observed to be applicable to opposite-handed pitchers. Advanced metric flaws like this are constantly being swept under the rug. I really can't see very many traditionalists being impressed, until your community can become strongly committed to openly and honestly portraying these issues.

    • Mark Smith

      You bring up some interesting points. I agree that saberists sometimes imply (or directly state) that "traditionalists" are dumb. When I first started looking into it, I asked a question in a chat, and I received a snarky answer to what I thought was a legitimate answer. I was 19 years old and had never heard of those statistics before, and I was getting insulted. That never helps. The tough thing about the internet is that you don't know who your audience is. When you see people in public, you adjust your speech and understanding of context from seeing the other person, but when I read chats, no one has any idea who the audience is, how old they are, and how much experience they have with the metrics. I agree that people should be more careful responding to their audience.

      As for the downfalls of each metric, I actually think the sabermetric community does quite a bit of self-critiquing. The problem is that you can't find the critiques in mainstream areas such as newspapers or major network websites, basically because none of those places has anyone qualified to adequately challenge those statistics (journalists generally don't have statistics degrees). The critiques are elsewhere, but it really wouldn't take that long to Google the metric in question and find something that pointed out its strengths and flaws. Yes, the burden is on you to do so, but saberists can't bring it to your house, and major networks haven't adopted them, which would be another source of information for you. If you took 10 minutes a day to research one metric, you could probably be read-up by New Year's. But I would definitely disagree that the saberist community doesn't critique itself. In fact, there are power struggles over who has the best metrics, and with that comes quite a bit of critiquing.

      As for the last part of your comment, I'm not sure what you mean. If you have a more specific (player names, maybe?) example, I can probably help you or at least direct you somewhere that can.

  6. spinner

    Ahh, the argument has been made that Felix Hernandez benefits from pitcher friendly Safeco field, and the park factor adjustments embedded in the advanced metrics calculations penalize him accordingly. However, Safeco field truly provides significant benefit only to left-handed pitchers, rendering the adjustments inappropriate. I will concede that the significance of this is largely mooted by Hernandez actually winning the Cy Young Award, but this is a "tip of the iceberg" sort of situation.

    I wasn't arguing that I can't find the flaws in the metrics. I was bristling because I don't think I should have to make an effort to look for them.

    • Mark Smith

      I'm not sure that is what's happening. FanGraphs doesn't include park effects, and pitching metrics such as FIP, SIERA, and xFIP don't either. Now, when adjusting the WARs for pitchers, parks usually come into play, and in Felix's case, he gets "penalized" for pitching in a pitcher's park. As for Safeco itself, it really harms right-handed power hitters, but this doesn't mean only left-handed pitchers benefit. Felix still has to face a lot of right-handed hitters, and they still hit balls to left. He faces lefties, who also hit the ball to left. And if Felix knows this, he should pitch hitters to go that way. Yes, left-handed pitchers will have to face more righties than right-handed pitchers do because of platoons and pinch-hitting match-ups, but Felix does in fact benefit from his park. Now, you can make the argument that he doesn't as much as a left-hander, but it's not as if Felix doesn't benefit at all.

      You wouldn't have to make an effort to find them if mainstream newspapers and networks brought them to you like they do for traditional statistics. It's not really saberists' fault that the mainstream media doesn't bring it to you more directly. I understand your sentiment, but I think you're mad at the wrong people. Saberists can only bring you the information on the platforms available to them. They've worked to influence mainstream media, and for some of the reasons you mentioned in your first comment and others, they haven't really gained a hold anywhere else but the internet, which then forces you to have to look for them. Honestly, I wish mainstream networks would bring up the new statistics just to have a conversation about them, but they don't appear interested in doing so. At least ESPN has tried a little harder to do so.

  7. spinner

    Okay, one more swing and I'm out. This banter misses the point of my original post. I don't seek to impress you or anyone else with my knowledge of metrics, be they saber or traditional. I was reluctant to give details in my example because I was wary that you would seize it as an opportunity to demonstrate that your take is different from mine, as you have. Also, I'm not looking for pointers.

    The takeaway here is simply this. One traditionalist is trying to explain to one saberist why it is not prudent for traditionalists to take saberists seriously. At times you seem close to understanding. At times you seem to want to understand better. Perhaps someone other than myself will be more successful at closing the gap.

    • Mark Smith

      I don't mean to seek to impress anyone either. You mentioned a situation that frustrated you, and I was just trying to explain what's actually being done. If I think you are misunderstanding the metric, it doesn't do anyone any good if I don't explain it, and honestly, a lot of people probably have the same questions you do, and it might help another reader for me to explain it.

      But I am still trying to understand your point. What it seems like you're saying (and please point it out if I'm wrong) is that you are frustrated because saberists simply tell you that your statistics are wrong while ignoring the fact that their statistics are not absolute truths, either. It seems to equally frustrate you that while they take the time to point out the flaws of traditional stats they should also point out the flaws in their own stats. I'm really not trying to be argumentative here. But you bring up some common feelings that I've seen elsewhere, and I'd like to address them by explaining the other side of the argument. You can take it or leave it, which is your prerogative, but all I ask is that you listen (or read) before giving up.

      1) I agree that some saberists just blatantly dismiss some traditional statistics, and they aren't kind about it. They also sometimes act as if these are the last statistics you'll ever need, without acknowledging room for improvement. Stripping away the condescension, the idea is that, while the newer stats have flaws, the traditional stats' have more significant flaws and are not describing (to various degrees) what they say they describe or what people use them to describe.

      2) I pretty much agree that people should explain the statistics more often. The problem, however, is that, as you try to gain acceptance, some don't want to show their weaknesses because they fear that people will simply dismiss them without looking at the substantial positives. I think, in the long-run, they should be more open out the positives and weaknesses of what they develop, but I understand the short-term reaction.

      Again, I'm not trying to be argumentative here. I respond because I feel your points are worth responding to, and I'm not trying to show-off for anyone. Yes, I am trying to convince you to be more open to new statistics, but I honestly don't expect it to work. But what I do want is to understand, and I do want you to continue this conversation if there's still a disconnect. How will anything ever get solved if no one talks about and each side simply dismisses the other side?

Comments are closed.