Those aren't stats. That's counting.

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Re: Those aren't stats. That's counting. 

Post#41 » by Doctor MJ » Thu Aug 9, 2012 5:05 am

QuantMisleads wrote:Qualitative analysis is analysis that can be tested, and doesn't hide silly assumptions. On the other hand, quantiative analysis (the favorite tool of the positivist) cannot be tested, and certain assumptions have to be made to make the numbers say what you want them to say.


I find your bias here to be rather astonishing. The notion that qualitative analysis is somehow inherently more testable than quantitative analysis is just absurd. Right from the start, you aren't making any kind of sense.

More generally, your perspective is just bizarre to me because you insist on a fundamental distinction between yourself and those who come to different conclusions that simply doesn't exist.

As one of the group who favors Russell over Wilt (which is the group you despise so much), I wouldn't have come to the conclusions I did if it weren't for:

-People of the time explaining how they believed Russell was a more impactful player than Wilt.
-Various accolades singling out Russell above Wilt.
-Decisive team results in favor of Russell and
-Various negative observations and disappointments people had about Wilt.

None of these things is a "quant" thing. In fact, they put me very much at odds with many statisticians who could reasonably be called myopic positivists, and yet you don't see the distinction? I guess they aren't the only ones with myopia. I'm using qualitative and quantitative just like you, the only difference I can really see is that I've done it in a deeper, and yes more scientific, way.

You talk of testability. I wonder if you even understand what that means. What does it mean, for example, to have a historical basketball hypothesis? What of these "experiments" have you performed?
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Re: Those aren't stats. That's counting. 

Post#42 » by Doctor MJ » Thu Aug 9, 2012 5:13 am

QuantMisleads wrote:What is inherent in qualitative analysis is that we recognize as well that our judgements are never objective. It takes a lot of back and forth to straighten things out. Many objectivists (positivists) do not like this.


I've had my opinions about basketball changed so many times in so many different ways in the past few years, and yet you accuse people like me of "not liking' to have "back and forth". Meanwhile, you've basically stuck to the exact same mantra the whole time I've known you. It's remarkable that you cannot see how your actions would appear to others. You claim rational superiority by pointing out the rigidity of others, while speaking with greater rigidity than almost anyone else in the room at all times.

One would expect someone tossing around such lofty philosophical terms would know himself better.
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Re: Those aren't stats. That's counting. 

Post#43 » by QuantMisleads » Thu Aug 9, 2012 3:35 pm

Doctor MJ wrote:
QuantMisleads wrote:What is inherent in qualitative analysis is that we recognize as well that our judgements are never objective. It takes a lot of back and forth to straighten things out. Many objectivists (positivists) do not like this.


I've had my opinions about basketball changed so many times in so many different ways in the past few years, and yet you accuse people like me of "not liking' to have "back and forth". Meanwhile, you've basically stuck to the exact same mantra the whole time I've known you. It's remarkable that you cannot see how your actions would appear to others. You claim rational superiority by pointing out the rigidity of others, while speaking with greater rigidity than almost anyone else in the room at all times.

One would expect someone tossing around such lofty philosophical terms would know himself better.


Before saying anything else, I should note that I do not despise people who like Russell over Wilt, in fact I think Russell was also a once in a lifetime player as Wilt was, as they both had an unparalleled athleticism (and height to match), and I think Russell's skillsets made it easier for him to understand what he had to do which is why I think his teams were more successful. I do despise, however, the intellectual dishonesty among some posters and their appeal towards what they think is scientific analysis.

You raise some important points that I didn't explicitly raise perhaps in my last few posts. There are two issues at play when I see someone resort to DRTG/ORTG or other advanced statistical numbers and then pin most of it on one player:
1) Preconceived biases
2) Using themes to support the quantitative.

So as I mentioned before, we try to find the numbers to support our hypothesis...big surprise there. I find it both hilarious and pathetic that bastillon shows up (and does so faithfully) when he gets to push his view of a certain player using whatever methods at his disposal and has voting power (INCLUDING spreading the lie that Russell was injured in 1967). Of course there are other numbers, other facts that don't support that, but lets put that at the side for the moment.
The second matter is related to the first. In this case, we use the themes that aren't numbers to support the cherrypicked numbers that we have. Yet these themes are so overused that it's almost as if we're talking about robots rather than a complex 5 on 5 game. For example, we want to rationalize why Wilt only won 2 championships. So the theme is created to explain away EVERY YEAR HE PLAYED AND LOST, and we use whatever statistical tool we can find to support it! Every other poster reads this and assumes their analysis is impeccable, and you basically get everyone thinking the same way. You call this analysis?? So when all the newspapers, Cousy, and Russell said Wilt played like a monster in that 7 game series in 1962 (where Wilt loses by 2 points due to someone else not covering Sam Jones) where nobody gave the Warriors a chance in hell in winning, how do we treat Wilt? "Oh...he only scored 14 points in that final game! His scoring average was WAAAAY below average in the playoffs, he choked"! This is literally the story told. Was it true in other years? yes, perhaps it was, but not this year.

Look, there is ALWAYS room for interpretation. For example, I think Wilt's 1962 season isn't given the credit it deserves, but I respect other opinions on the matter. But when we use advanced statistics (that, no, whose assumptions cannot be tested in the way I described earlier) to give it the allure of scientific analysis, we should know better. But judging by the fact that many posters resort to themes to support their analysis (which, by the way, is the only thing I would accuse you of) and don't do enough newspaper or comments from their peers (or even interviews that were done with older players from that generation).

There is always going to be bias in our interpretations, but we're not doing the best of trying to root it out. The problem so much isn't with you guys, but that there are few educated dissenting voices. The problem with me is that I get easily angered at intellectual dishonesty so I can't seem to hang around for longer than a month, nor are my comments helpful in the right direction either because I'm too lazy to try to find the newspaper article or interview to rebut someone.

And for me, finding someone's dishonesty is particularly easy, even when it comes to people like ElGee, who has used 1965 and 1969(much like Bastillon, I might note) (without any historical analysis) to "prove" that Chamberlain had no impact when he switched teams. These guys are dishonest because I'm sure they have read my posts on what happened those particular years and why they're not applicable, but unfortunately for Chamberlain those were also the only seasons where he switched teams and/or missed games. This creates a theme of course: Wilt didn't have an impact, while Russell did. Does team record show this to be true? does where they made it in the playoff show this to be true? Nope. Though others will say yes, that this huge impact was evident in Russell's 2 point or 1 point victory over Wilt in game 7.
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Re: Those aren't stats. That's counting. 

Post#44 » by Nivek » Thu Aug 9, 2012 6:12 pm

Quant: You're not making much sense to me. Your central point seems to be that you think some people are doing bad analysis. Okay, you're correct. There's lots of bad analysis. It's generally pretty easy to spot bad analysis and to identify why. When someone cherrypicks data to support a point, there's going to be data to counter with. Or, at very least, their argument can be deconstructed.

I don't see what this has to do with advanced stats. Your point is really about poor argumentation.
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Re: Those aren't stats. That's counting. 

Post#45 » by QuantMisleads » Thu Aug 9, 2012 7:25 pm

Nivek wrote:Quant: You're not making much sense to me. Your central point seems to be that you think some people are doing bad analysis. Okay, you're correct. There's lots of bad analysis. It's generally pretty easy to spot bad analysis and to identify why. When someone cherrypicks data to support a point, there's going to be data to counter with. Or, at very least, their argument can be deconstructed.

I don't see what this has to do with advanced stats. Your point is really about poor argumentation.

No, it's not easy to spot bad analysis. Go to the Player Comparison forum and how they're ranking the highest peaks. What essentially happens is someone like ElGee comes along and posts a bunch of advanced statistics (one that of course favors his argument), ignores the statistics he thinks conceals what is hidden, tells everyone (based on his ranking) who the best player are, and lo and behold: everyone else starts voting the same way he does. Never mind that his analysis may suffer from all of the things I listed above (which, they surely do).

And as to someone countering data with data, it just doesn't work like that. Real data from the games, and even slightly more advanced ones like TS%, do not counter false and misleading data like DRTG and ORTG. Furthermore, as I stated above, people build themes around their data to create their story. It's clever of course, but incorrect and sometimes (depending on the poster) entirely dishonest. Look, people can do whatever they want, and they can fool whoever they want (you can fool with numbers, but not with qualitative data) but if they think their silly rankings actually mean anything, they are entirely mistaken.

So not only is the use of advanced statistics abused, but it also creates the false appearance of scientific vigor and creates what should be a good discussion into silly and nearly worthless analysis.

The only person I've seen to use a good mix of both is Tsherkin (and for good qualitative analysis posters, see Dipper13 or Tharegul8r(but don't look at what he bolds)). The rest of you can carry on your mostly pseudoscientific endeavor until you wisen up.
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Re: Those aren't stats. That's counting. 

Post#46 » by EvanZ » Thu Aug 9, 2012 7:28 pm

QuantMisleads wrote: Look, people can do whatever they want, and they can fool whoever they want (you can fool with numbers, but not with qualitative data) but if they think their silly rankings actually mean anything, they are entirely mistaken.



Sorry, but that's one of the silliest statements I've read in a long time. I'll have to remember that. You can fool people with numbers, but not with qualitative data. Ok. :lol:
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Re: Those aren't stats. That's counting. 

Post#47 » by QuantMisleads » Thu Aug 9, 2012 7:44 pm

EvanZ wrote:
QuantMisleads wrote: Look, people can do whatever they want, and they can fool whoever they want (you can fool with numbers, but not with qualitative data) but if they think their silly rankings actually mean anything, they are entirely mistaken.



Sorry, but that's one of the silliest statements I've read in a long time. I'll have to remember that. You can fool people with numbers, but not with qualitative data. Ok. :lol:

Seems like someone is taking offense because I'm hitting at the way he sees the world?

"In the early 1900s, some researchers rejected positivism, the theoretical idea that there is an objective world about which we can gather data and "verify" this data through empiricism. " --Wikipedia

Qualitative data consists of historical analysis, interviews, grounded theory (creating a theory from your research rather than through deductive means), ethnographic research, etc. All of this is lain bare in front of those interested. Now, he could make all of it up and "fool" them that way, but otherwise I can't think of another instance where it's possible.

so :lol: :lol: :lol: :lol: :lol: right back in your face bud
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Re: Those aren't stats. That's counting. 

Post#48 » by EvanZ » Thu Aug 9, 2012 7:48 pm

I'd probably be offended, but your arguments are virtually incoherent.
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Re: Those aren't stats. That's counting. 

Post#49 » by Nivek » Thu Aug 9, 2012 7:51 pm

Virtually?
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Re: Those aren't stats. That's counting. 

Post#50 » by QuantMisleads » Thu Aug 9, 2012 7:58 pm

Nivek wrote:Virtually?

Here's the deal. If you attempt to lead your argument with quantitative data only (and worse, only advanced statistics), then dial yourself back and bring in some newspaper accounts, what other players or coaches or others said at the time or later, etc. And don't complain that that's too hard.
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Re: Those aren't stats. That's counting. 

Post#51 » by EvanZ » Thu Aug 9, 2012 8:09 pm

Nivek wrote:Virtually?


Well, this is like when someone starts a sentence, "With all due respect..."
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Re: Those aren't stats. That's counting. 

Post#52 » by EvanZ » Thu Aug 9, 2012 8:10 pm

QuantMisleads wrote:
Nivek wrote:Virtually?

Here's the deal. If you attempt to lead your argument with quantitative data only (and worse, only advanced statistics),


So advanced statistics are even worse than, um, primitive statistics? How does that work exactly?
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Re: Those aren't stats. That's counting. 

Post#53 » by QuantMisleads » Thu Aug 9, 2012 8:29 pm

EvanZ wrote:
QuantMisleads wrote:
Nivek wrote:Virtually?

Here's the deal. If you attempt to lead your argument with quantitative data only (and worse, only advanced statistics),


So advanced statistics are even worse than, um, primitive statistics? How does that work exactly?


Advanced statistics in and of themselves mean little of course, one has to put context around it. When it comes to raw stats (that is, ppg/rbg or even slightly more advanced statistic like TS%) one can only put so much context around it. The context one puts around advanced statistics are also called assumptions. Are those assumptions testable? No, most of the time they aren't, which is why we're using advanced statistics to begin with. Now, sometimes we can make fair assumptions, but fair according to whom? Everyone has a different bias. Some people are more fair and care to do things more carefully, but others aren't. I'm telling you that when someone comes onto this forum, and says that Wilt Chamberlain's 1965 and 1969 season is PROOF that Wilt didn't make an impact EVER (except maybe 1967, say these people), well, I know they're thieves and liars (long story, but I've repeatedly referenced what happened in those seasons to prove their idiotic hypothesis and conclusions incorrect). yet they continue making the same claim, knowing that I got banned and won't come and rebut them again, and especially make that same claim when they have a vote for whether someone was GOAT, who had the highest peak, ETC. Note that was just one example, for me almost anything else in basketball is debatable which is why I mostly stay on the sidelines, but other things like this are for me akin to murdering someone.

Statistics hide bias, especially advanced statistics. That isn't the only problem, but that is a huge problem.
I will share one small story on one of the posters named Bastillon who is one of the most intellectually corrupt people on this board. He is by far the most biased of all of the posters who frequently resort to advanced statistics. So he hates Wilt Chamberlain for whatever reason, and for the 1967 season he had to try to find a way to not credit Wilt. Of course he couldn't resort to any sort of regular statline because Chamberlain as always blew everyone away. So one advanced statistic showed (ORTG) that Philly had an unbelivable offense that year, which was true. But, he noted, they only had an average defense. But these arguments weren't working for him as they had in other years, so he had to come up with something else. So he first said "Russell's numbers aren't the same as they were in previous years, he must have been injured. Never mind that much of those advanced statistics from that time are estimated, and seem to mostly be determined by whether the team was the league champion that year. So after this he changed his statement from including the words "he thinks" to "russell was injured". He has repeated this lie more times than I cared to count. The sad part is that Wilt was actually injured the following year (which, if he did the other sort of analysis I've been talking about, even Russell noted after a game that "it's obvious he's hurting", but of course it's harder to mention these things because it didn't account for the following year. Anyway yes it's all very sad, but I'm still pissed.

And I know i've been incoherent at times but I'm making a very important point here. DoctorMJ, if you would like I can make a thread that shows people how to do a good mix of both types of analysis (and I'll make sure it's very coherent) that can be sticked either here or on the player comparison forum.
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Re: Those aren't stats. That's counting. 

Post#54 » by mysticbb » Thu Aug 9, 2012 8:47 pm

QuantMisleads wrote:And I know i've been incoherent at times but I'm making a very important point here.


Don't you realise that your point gets lost within all the incoherent stuff you write, man. ;)

You are confusing so many things within the philosophy of science here that the whole thing just looks like a desperate attempt to descredit other users. Why didn't you instead link articles or make a coherent arguments as to why Chamberlain was the greatest ever in the proper thread? Not everyone will follow, but maybe one or two will get something more out of this. Your posts in this thread just giving the impression of a frustrated old man, who finds out that his personal beliefs are challenged by others and he has no good arguments for his beliefs anymore.
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Re: Those aren't stats. That's counting. 

Post#55 » by QuantMisleads » Thu Aug 9, 2012 8:53 pm

mysticbb wrote:
QuantMisleads wrote:And I know i've been incoherent at times but I'm making a very important point here.


Don't you realise that your point gets lost within all the incoherent stuff you write, man. ;)

You are confusing so many things within the philosophy of science here that the whole thing just looks like a desperate attempt to descredit other users. Why didn't you instead link articles or make a coherent arguments as to why Chamberlain was the greatest ever in the proper thread? Not everyone will follow, but maybe one or two will get something more out of this. Your posts in this thread just giving the impression of a frustrated old man, who finds out that his personal beliefs are challenged by others and he has no good arguments for his beliefs anymore.

I'm not confusing anything within the philosophy of science, I just didn't create a good story for people to follow.

It's not just about one person, it's also how people conduct analysis. I can't be making valid claims against things which are invalid claims. I will never win that battle.

And your last sentence I object to, certainly I'm frustrated but it has nothing to do with my beliefs per say about a particular player or set of players. As I said, there is always, always room for interpretation because I understand what social science is all about, but not according to the standards set here or elsewhere.
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Re: Those aren't stats. That's counting. 

Post#56 » by EvanZ » Thu Aug 9, 2012 9:52 pm

QuantMisleads wrote:The context one puts around advanced statistics are also called assumptions. Are those assumptions testable? No, most of the time they aren't, which is why we're using advanced statistics to begin with. Now, sometimes we can make fair assumptions, but fair according to whom? Everyone has a different bias.


You are the cleverest spambot ever! :D
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Re: Those aren't stats. That's counting. 

Post#57 » by QuantMisleads » Thu Aug 9, 2012 10:09 pm

EvanZ wrote:
QuantMisleads wrote:The context one puts around advanced statistics are also called assumptions. Are those assumptions testable? No, most of the time they aren't, which is why we're using advanced statistics to begin with. Now, sometimes we can make fair assumptions, but fair according to whom? Everyone has a different bias.


You are the cleverest spambot ever! :D

;) of course my intention was not to say that we can't judge the difference per say....but that we can't assume that everyone is being "fair and balanced" so to speak...
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Re: Those aren't stats. That's counting. 

Post#58 » by Doctor MJ » Fri Aug 10, 2012 6:37 pm

Things got a little heated there, let's everyone take a break for a bit.
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Re: Those aren't stats. That's counting. 

Post#59 » by floppymoose » Sat Aug 11, 2012 6:04 am

Doctor MJ wrote:
Henry Abbott wrote:Right now the reason a lot of teams don't make smarter decisions is, I'd argue, because they have key decision-makers who simply don't get statistics. They are so incredibly incurious that it matters not at all what any stat person might say.

These people say things like "I watch the game," and "I believe my eyes."

Kobe's response to data that he hurts the Lakers in crunch time was, essentially, you're going to believe stats?

To me, the fact that the Laker offense loses all punch in crunch time, that they're outscored, and that Bryant is setting all-time records for misses ... those aren't stats. That's counting.



So this is gonna be OT, but whatever, I've feeling bold baby!

I'm surprised that Kobe was hurting the team in crunch time, because I basically only watched him against the Warriors last season, and against us he stank most of the game and then killed us at crunch time.

So I'm guessing that means 4 games is not a big enough sample size?
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Re: Those aren't stats. That's counting. 

Post#60 » by CablexDeadpool » Wed Aug 15, 2012 3:01 am

What QuantMisleads is saying is that reality is subjective. Meaning your beliefs and biases and your perception makes your reality.

Using objective tools to in measurement or an experiment with an already preconceived assumption does not reveal the truth, it's only an educated opinion or bias that is presented as truth, the "scientist" points the data and numbers he has cherry picked with his assumption to "prove" his "truth" and everyone else sees his data and his theory and if it makes enough sense, it is "truth".

That is why double blind experiments are the best. It attempts to eliminate biases and assumptions.

So what QuantMisleads is trying to say. If I put Michael Jordan's career stats, with Oscars' and Lebron's stats and then say who is the better player.

Statistically speaking no doubt all of them impressive. But what if I wanna find out who is the better scorer, all 3 put up 27 a game or more points in a season. What if I wanna find out who is the better passer, all 3 has averaged more than 6 assists a season.

You can't get those things by just looking at stats, you would need to know the offensive system, the era, the teammates, their offensive skill set etc.

You would be looking more at historical data than anything else. It will be foolish for me to look at someone's PER and the pace and the points avg. and say it's Jordan.

What if I want to know who is the more athletic player between Oscar, Jordan and Lebron? There isn't a stat for that. Yes I can look at the combine measurements, but OJ Mayo has a 40 vert and he doesn't play as athletic as DWade who has a 35 inch vert. I would have to watch games and get anecdotes from people around them.

Qualitative Analysis and Quantitative Analysis goes hand in hand. The world isn't objective no matter how many measurements and stats you have. Objective tools can measure a subjective world to a certain extent, but you will still have biases and assumptions that will interfere with an objective endeavor.

Just because one uses measurements and the scientific method doesn't make their findings without bias.

I can make numbers say anything.

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