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Does Cognitive testing and training work?

Isn't that Pascal's Wager?



Claus Spots a Moving of Goal Posts.

Relatively, all of a sudden?

What you gave me was an argument based on what you "think". You pulled out some definitions of "intelligence" from...somewhere, you pointed to "debatable" evidence, you used words like "likely", "pretty much", "some view", "I see", "indirect", "reasonable", "to me". To top it off, you were very uncertain of what IQ measurements actually measure.

Ain't gonna work with me. You know me better than that.



I am not. I am going with what you said. I am going with your claims.



No, I don't think you are saying that not all people are equally capable of learning. I think you are saying that all people are not equally capable of learning the same, but that people can learn to improve themselves, to some degree.

Isn't that true? Because if you are saying that not all people are equally capable of learning, then I cannot understand how you can advocate that the dumb are educated in any way.



No, I am not. I am saying that IF the theory of IQ is true, THEN we have no reason to educate the dumb. It has nothing to do with offing those with a higher risk of a certain disease.



What do you think of "The Mismeasure of Man"? You're at odds with one of the greatest skeptical minds here. You better whip out your best arguments.



But it isn't a case of being merely "ok", is it? If IQ determines your abilities, now and until you die, you are judged by your IQ, which in turn determines your whole life.

You can be an Epsilon or an Alpha. But don't think that Epsilons can be Alphas just like that.

Claus

I still think you're making a major false dilemma here-- more on that later, as I have to wi bowl with my son (who kicks my butt).


Re Gould: I think you vastly overestimate his skeptical mind. He was a great writer but a hack scientist. I'll submit I'll never come close to getting my vita to look like his, but he's still a hack.

We've gone this route before, but mismeasure is a complete strawman and a waste of time for anyone interested in say the last 40 years of research on iq.

I'm sure I posted this here before, but so far I have one article published on IQ. It's in a good journal, and when I wrote it I cited gould in the first paragraph. Here's what a blind reviewer said:

CITING FOOLS: Why cite an amateur (read idiot) like Gould? The man is an advocate, not a scientist. Would the authors cite people who claim the earth is flat in a paper on geography".


I think the reviewer is right, at least as far as mismeasure is concerned. Notice how the field has completely ignored it. I had an advisor once tell me that the worst thing that can happen to a "scientific contribution" is not that people attack it or dispute it, but that it be ignored. This is mismeasure.
 
I think the reviewer is right, at least as far as mismeasure is concerned. Notice how the field has completely ignored it. I had an advisor once tell me that the worst thing that can happen to a "scientific contribution" is not that people attack it or dispute it, but that it be ignored. This is mismeasure.

Well it seems to me that this would need a little more elaboration. Those involved in the "IQ industry" may not be the best judges of a critique which essentially says they are wasting their time, at best. There may be more than one reason why a contribution is ignored, and it is for you to show that your presumption of the reasons for this are correct.
 
Well it seems to me that this would need a little more elaboration. Those involved in the "IQ industry" may not be the best judges of a critique which essentially says they are wasting their time, at best. There may be more than one reason why a contribution is ignored, and it is for you to show that your presumption of the reasons for this are correct.

These are academic psychologists. I can't imagine they're making money directly from sales of IQ tests.

I see why you'd be skeptical on this point, but I think it would be highly unlikely for any area of science to reach a consensus on something based on financial gain versus the data.
 
Ok, let's see if I can address your other points now. BTW, if the OP feels like I am derailing his thread, please let me know-- I gots no problem shutting up here.

Isn't that Pascal's Wager?


I guess it might be, but the cost is some nominal sum of money (say, 50$ or 100$, which is about the most I'd pay for it). The potential benefit is vast, but we get the benefit only if they're right, and my skepticism is wrong (i.e., if it's true that people really do differ in learning styles, and matching learning to the style significantly boosts school performance). That's a big win worth the cost, since we're talking about a son's future.

Even if I think the win is improbable, I suspect it's still rational to do the program, as the potential (but improbable) benefits outway the certain but nominal costs.

Were this some type of woo therapy, then no way. But, the hypothesis seems reasonable, and certainly seems like an empirical question. So, yeah, if it's a pascal's wager, I'd take it here.


Claus Spots a Moving of Goal Posts.

Relatively, all of a sudden?

What you gave me was an argument based on what you "think". You pulled out some definitions of "intelligence" from...somewhere, you pointed to "debatable" evidence, you used words like "likely", "pretty much", "some view", "I see", "indirect", "reasonable", "to me". To top it off, you were very uncertain of what IQ measurements actually measure.

Ain't gonna work with me. You know me better than that.


Scientists have to use weasel words. I said relatively because they're not perfectly stable. They are stable vastly moreso than one would expect by chance, and given the correlation between grades (as one example) and IQ, one could calculate the probability of a 90 IQ person getting straight A's. It would be very small but larger than zero. So, I think the qualification "relatively" is accurate, but does not diminish the thrust of what I'm arguing (that IQ tests have vast practical utility for predicting things; and that IQ rank is "relatively" stable t/o the lifespan, which is exactly what Neisser et al conclude).

I realize I am in the minority here, and some are sure I'm either a woo/idiot, racist or both. So, I try to use qualifications for claims I make so people don't accuse me of over-selling the data.

The Neisser cite is authoritative, and the dozen or so authors of it include none of the major "g" theorists out there. In fact, Sternberg is the third author, and he's about as anti-g as it gets.

It represents the APA's consensus (10 years ago) about what the field knows and doesn't re IQ (hence the title of the article).


I am not. I am going with what you said. I am going with your claims.


No, I don't think you are saying that not all people are equally capable of learning. I think you are saying that all people are not equally capable of learning the same, but that people can learn to improve themselves, to some degree.

Isn't that true? Because if you are saying that not all people are equally capable of learning, then I cannot understand how you can advocate that the dumb are educated in any way.

No; I think learning is just applying brain power; some brains are more powerful than others. The differences (within the normal range of IQ) are purely quantitative. Smart and dull brains process info the same way; the former just do it faster and more efficiently.

I think anyone with an IQ of 70 or so can eventually memorize the 10 commandments. How fast and how well they're learned though would be predicted largely by IQ.

The development of crystallized intelligence however is much more domain general; it's literally absorbing facts about the world. Everyone does this, but smarter brains are more efficient absorbers, and so acquire knowledge faster and better.

But learning's not all or none in this context.

Now what if you said: Should we teach a 70 iq rocket science? I'd argue it's a waste of time. You may eventually find a counterexample (and if I practice real hard I someday might make it in the NBA).

This is an extreme example, though, and I don't think we know enough to say what an 87 should be taught versus a 93.

No, I am not. I am saying that IF the theory of IQ is true, THEN we have no reason to educate the dumb. It has nothing to do with offing those with a higher risk of a certain disease.


I dont think it follows -- you seem to be assuming that learning is step like. One gets to the next step or stays forever at the current step. It's not (they are learning curves not learning steps). How much you eventually acquire, and how fast you get there, is determined by IQ, but everyone should be able to rise up his or her curve to his or her ability determined ceiling.

What do you think of "The Mismeasure of Man"? You're at odds with one of the greatest skeptical minds here. You better whip out your best arguments.

But it isn't a case of being merely "ok", is it? If IQ determines your abilities, now and until you die, you are judged by your IQ, which in turn determines your whole life.

You can be an Epsilon or an Alpha. But don't think that Epsilons can be Alphas just like that.


IQ determines / reflects cognitive ability. That in turn predicts (strongly but imperfectly) many life outcomes. But that's all IQ measures. There are other things that also contribute to success-- personality motivation, opportunity, etc. There are also other types of important abilities-- musical, physical, people-type skills.

Just because IQ is the most important piece of the pie doesn't force the conclusion that we must label people only by IQ and then wash our hands to any type of intervention.

I've never claimed that, nor do I think my world view even remotely forces that conclusion.

I hope I didn't screw up the quotes.
 
These are academic psychologists. I can't imagine they're making money directly from sales of IQ tests.

I see why you'd be skeptical on this point, but I think it would be highly unlikely for any area of science to reach a consensus on something based on financial gain versus the data.

I must have phrased what I said very badly, and I am sorry. I did not mean to imply at all that this was a question of financial gain. My use of the word "industry" was ill-advised and I see how I misled you. What I really meant was that people find it very hard to abandon any core construct, and scientists are no exception. It is true that they make their living from their belief in IQ and that is why the word "industry" came to my mind. But there are other types of reward and other reasons for dismissing a challenge (as outlined in the work on Cognitive Dissonance, for example)

Just as an aside, can you tell me why IQ is assumed to be a normal distribution? I see no reason for that assumption, yet it is crucial for the whole theory
 
Re Gould: I think you vastly overestimate his skeptical mind. He was a great writer but a hack scientist. I'll submit I'll never come close to getting my vita to look like his, but he's still a hack.

A "hack scientist"? Not much of a skeptic?

Author of books like Ever Since Darwin, The Panda's Thumb, Hen's Teeth and Horse's Toes, The Flamingo's Smile, Bully for Brontosaurus, Eight Little Piggies, Dinosaur in a Haystack, Leonardo's Mountain of Clams and the Diet of Worms, Rocks of Ages, The Lying Stones of Marrakech and The Structure of Evolutionary Theory, arguably one of the - if not the - most thorough defenses of evolution in modern times? Who wrote 300 monthly columns in Natural History magazine?

We are talking about the same Stephen Jay Gould, aren't we?

We've gone this route before, but mismeasure is a complete strawman and a waste of time for anyone interested in say the last 40 years of research on iq.

I'm sure I posted this here before, but so far I have one article published on IQ. It's in a good journal, and when I wrote it I cited gould in the first paragraph. Here's what a blind reviewer said:

CITING FOOLS: Why cite an amateur (read idiot) like Gould? The man is an advocate, not a scientist. Would the authors cite people who claim the earth is flat in a paper on geography".

I think the reviewer is right, at least as far as mismeasure is concerned.

Explain why Gould is wrong.

Notice how the field has completely ignored it. I had an advisor once tell me that the worst thing that can happen to a "scientific contribution" is not that people attack it or dispute it, but that it be ignored. This is mismeasure.

Key word: Ignored. Not countered. Ignored.

That's a hallmark of pseudoscience: That contrary evidence is simply ignored.

I guess it might be, but the cost is some nominal sum of money (say, 50$ or 100$, which is about the most I'd pay for it). The potential benefit is vast, but we get the benefit only if they're right, and my skepticism is wrong (i.e., if it's true that people really do differ in learning styles, and matching learning to the style significantly boosts school performance). That's a big win worth the cost, since we're talking about a son's future.

But it isn't just a son's future. It's everyone's future.

Even if I think the win is improbable, I suspect it's still rational to do the program, as the potential (but improbable) benefits outway the certain but nominal costs.

Were this some type of woo therapy, then no way. But, the hypothesis seems reasonable, and certainly seems like an empirical question. So, yeah, if it's a pascal's wager, I'd take it here.

That's precisely the issue here: The hypothesis does not seem reasonable at all.

What is the result if you are right? We will get a Huxleian Brave New World.

Scientists have to use weasel words.

No, they don't. On the contrary, they should be as precise as possible.

I said relatively because they're not perfectly stable.

My point is that you did not qualify your statement earlier. There was absolutely no wiggle room:

Ability rank would be your place in the line where people are ordered based on IQ score. IQ scores change t/o the lifespan, but rank is stable.

But when you meet criticism, it's all weasel words.

They are stable vastly moreso than one would expect by chance, and given the correlation between grades (as one example) and IQ, one could calculate the probability of a 90 IQ person getting straight A's. It would be very small but larger than zero. So, I think the qualification "relatively" is accurate, but does not diminish the thrust of what I'm arguing (that IQ tests have vast practical utility for predicting things; and that IQ rank is "relatively" stable t/o the lifespan, which is exactly what Neisser et al conclude).

I realize I am in the minority here, and some are sure I'm either a woo/idiot, racist or both. So, I try to use qualifications for claims I make so people don't accuse me of over-selling the data.

The Neisser cite is authoritative

When you say things like that, it is no wonder that people question you. Nothing in science is "authoritative".

No; I think learning is just applying brain power; some brains are more powerful than others. The differences (within the normal range of IQ) are purely quantitative. Smart and dull brains process info the same way; the former just do it faster and more efficiently.

I think anyone with an IQ of 70 or so can eventually memorize the 10 commandments. How fast and how well they're learned though would be predicted largely by IQ.

The development of crystallized intelligence however is much more domain general; it's literally absorbing facts about the world. Everyone does this, but smarter brains are more efficient absorbers, and so acquire knowledge faster and better.

But learning's not all or none in this context.

Now what if you said: Should we teach a 70 iq rocket science? I'd argue it's a waste of time. You may eventually find a counterexample (and if I practice real hard I someday might make it in the NBA).

This is an extreme example, though, and I don't think we know enough to say what an 87 should be taught versus a 93.

So you do advocate that we don't educate the dumb. You will draw a line - but where would you draw it? When do we teach someone rocket science?

I dont think it follows -- you seem to be assuming that learning is step like. One gets to the next step or stays forever at the current step. It's not (they are learning curves not learning steps). How much you eventually acquire, and how fast you get there, is determined by IQ, but everyone should be able to rise up his or her curve to his or her ability determined ceiling.

But if they are, we should see an increase in average IQ - given that we have much higher literacy and far better education than ever before.

Do we see that?

IQ determines / reflects cognitive ability. That in turn predicts (strongly but imperfectly) many life outcomes. But that's all IQ measures. There are other things that also contribute to success-- personality motivation, opportunity, etc. There are also other types of important abilities-- musical, physical, people-type skills.

Just because IQ is the most important piece of the pie doesn't force the conclusion that we must label people only by IQ and then wash our hands to any type of intervention.

I've never claimed that, nor do I think my world view even remotely forces that conclusion.

It would have to: People won't have the opportunities or even personality motivation, because they are stopped way before they become adults. They are frozen in childhood because their IQ determines what education they should get.
 
Claus, you missed this gem (from the thread about Race 'Science'):

(did you know that something like 50% of the cites in Mismeasure were over 75 years old--iirc-- I can get the exact data if you're interested).

Stephen Jay Gould writes the brilliant book The Mismeasure of Man about all the biassed, racist 'science' of intelligence through the last couple of centuries, ending with g, the bell curve and factor analysis, and Bpesta blames him that a book about the history of 'intelligence testing' contains too many cites that are more than 75 years old!
Gould should not have been allowed to die!
 
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Steady, dann. It is well known that "modern" is the highest possible value and that everything old is by definition wrong. I am waiting with bated breath for the new improved two times table, myself
 
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Claus, you missed this gem (from the thread about Race 'Science'):



Stephen Jay Gould writes the brilliant book The Mismeasure of Man about all the biassed, racist 'science' of intelligence through the last couple of centuries, ending with g, the bell curve and factor analysis, and Bpesta blames him that a book about the history of 'intelligence testing' contains too many cites that are more than 75 years old!
Gould should not have been allowed to die!

The fossil nature of practically all the objects of Gould's expose is suggested by the fact that, although the book is not properly a history of mental testing, most of the key references are amazingly old. Present- day workers in these fields will have nothing to worry about! Few, if any, will consider it worth the bother to dig into such ancient tomes to check the validity of Gould's interpretations. Of all the book's references, a full 27 percent precede 1900. Another 44 percent fall between 1900 and 1950 (60 percent of those are before 1925); and only 29 percent are more recent than 1950. From the total literature spanning more than a century, the few "bad apples" have been hand- picked most aptly to serve Gould's purpose. Yet what relevance to current issues in mental testing are the inadequacies and errors of early anatomical studies by Samuel Morton (who died in 1851) or Paul Broca (who died in 1880) concerning racial- variation in cranial capacity (to which Gould devotes the better part of two chapters): Who now wishes to resurrect Lombroso's (1836- 1909) theory- of physical criminal types; Cyril Burt's 1909 report (his very first publication) of social class differences in intelligence; Goddard's account of the Kallikak family (1912) and the long since discredited theory of "feeblemindedness" as a simple Mendelian character; Terman's pronouncements in 1916 about eugenic measures to reduce the incidence of mental retardation; the primitive 1917 army mental tests; or the U.S. Congress's 1924 Immigration Restriction Act, which cited the 1917 army test data? These antiquated topics, which occupy most of Gould's book, can in no way serve to undermine or discredit current work in physical anthropology, psychometrics, differential psychology, behavioral genetics, and sociobiology. Readers expecting to find a forthright critique of the present status of issues and controversies in these fields are in for disappointment. The closest thing they will find to criticism of contemporary mental testing is the insinuation of its guilt through remote historic lineage.
 
The fossil nature of practically all the objects of Gould's expose is suggested by the fact that, although the book is not properly a history of mental testing, most of the key references are amazingly old. Present- day workers in these fields will have nothing to worry about! Few, if any, will consider it worth the bother to dig into such ancient tomes to check the validity of Gould's interpretations. Of all the book's references, a full 27 percent precede 1900. Another 44 percent fall between 1900 and 1950 (60 percent of those are before 1925); and only 29 percent are more recent than 1950. From the total literature spanning more than a century, the few "bad apples" have been hand- picked most aptly to serve Gould's purpose. Yet what relevance to current issues in mental testing are the inadequacies and errors of early anatomical studies by Samuel Morton (who died in 1851) or Paul Broca (who died in 1880) concerning racial- variation in cranial capacity (to which Gould devotes the better part of two chapters): Who now wishes to resurrect Lombroso's (1836- 1909) theory- of physical criminal types; Cyril Burt's 1909 report (his very first publication) of social class differences in intelligence; Goddard's account of the Kallikak family (1912) and the long since discredited theory of "feeblemindedness" as a simple Mendelian character; Terman's pronouncements in 1916 about eugenic measures to reduce the incidence of mental retardation; the primitive 1917 army mental tests; or the U.S. Congress's 1924 Immigration Restriction Act, which cited the 1917 army test data? These antiquated topics, which occupy most of Gould's book, can in no way serve to undermine or discredit current work in physical anthropology, psychometrics, differential psychology, behavioral genetics, and sociobiology. Readers expecting to find a forthright critique of the present status of issues and controversies in these fields are in for disappointment. The closest thing they will find to criticism of contemporary mental testing is the insinuation of its guilt through remote historic lineage.

So you also discredit modern medicine today because doctors in the past used leeches to cure disease.

How can we trust cosmology today! We used to believe the earth was the center of the universe.
 
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Isn't it obvious? Bpesta knows somebody who called him an idiot! :)



I think that's the way homeopaths usually deal with criticism, isn't it?

In the context, I think it's significant. The was a blind reviewer selected by the best journal in this subfield to critically review a submitted manuscript.

The comment was made as part of the review.
 
I must have phrased what I said very badly, and I am sorry. I did not mean to imply at all that this was a question of financial gain. My use of the word "industry" was ill-advised and I see how I misled you. What I really meant was that people find it very hard to abandon any core construct, and scientists are no exception. It is true that they make their living from their belief in IQ and that is why the word "industry" came to my mind. But there are other types of reward and other reasons for dismissing a challenge (as outlined in the work on Cognitive Dissonance, for example)

Just as an aside, can you tell me why IQ is assumed to be a normal distribution? I see no reason for that assumption, yet it is crucial for the whole theory

Here's data from my lab--

N=227 university students-- 18-21 age range

Kurtosis -.008, standard error .322
Skew .053, standard error .162

The rule of thumb is to worry about non-normality when either measure is > 2 standard errors. These are well below one se.

test0.jpg
 
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Claus; you've obviously never submitted a paper for publication. The rule is not to overstate your data. Especially when using stats to make inferences, qualifiers are needed. The values are precise; the labels one attaches to them should be qualified. That's social science.

I didn't use them in my first post because I didn't know you were going to parse every word I said in an attempt to fish out out some perceived contradiction.

You obviously are not trained as a scientist-- I don't mean that as an insult, but you're just not asking the right questions (nor is dann). Blow my comments off with smug arrogance, but at least concede that nominally I've been open minded here (i.e., willing to be shown I am wrong) whereas you and Dann are coming across as rather arrogant (imo).

The neisser cite is authoratative in that the article was commissioned by the APA, included a dozen leading experts as authors, and was endorsed by all of them. It represents what psychology can conclude about IQ in 1995. I'm not claiming it can't be wrong, I am claiming it's the default for what most everyone in the field would agree upon.

re Gould. Indeed, sometimes data are ignored for bad reasons. Gould didn't present any data. I haven't followed his career, but has he ever collected data? Gould's ideas were ignored not because he pwnd the evil/bumbling IQ theorists but because they were straw men wholly irrelevant to anything anyone's been doing in the field now (now, being when the book was published).

No one will, but read jensen's reply to gould. It's devastating:

http://www.debunker.com/texts/jensen.html
 
Not really what I meant - I seem to be rather less than articulate in this thread for some reason. I know that IQ always follows a normal distribution: this is because we make sure it does. All tests are designed to be so and it is in fact a measure of "validity" as I understand it. What I am asking is why ? What is the theoretical basis for the assumption that IQ is so distributed?
 
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The fossil nature of practically all the objects of Gould's expose is suggested by the fact that, although the book is not properly a history of mental testing, most of the key references are amazingly old. Present- day workers in these fields will have nothing to worry about! Few, if any, will consider it worth the bother to dig into such ancient tomes to check the validity of Gould's interpretations. Of all the book's references, a full 27 percent precede 1900. Another 44 percent fall between 1900 and 1950 (60 percent of those are before 1925); and only 29 percent are more recent than 1950. From the total literature spanning more than a century, the few "bad apples" have been hand- picked most aptly to serve Gould's purpose. Yet what relevance to current issues in mental testing are the inadequacies and errors of early anatomical studies by Samuel Morton (who died in 1851) or Paul Broca (who died in 1880) concerning racial- variation in cranial capacity (to which Gould devotes the better part of two chapters): Who now wishes to resurrect Lombroso's (1836- 1909) theory- of physical criminal types; Cyril Burt's 1909 report (his very first publication) of social class differences in intelligence; Goddard's account of the Kallikak family (1912) and the long since discredited theory of "feeblemindedness" as a simple Mendelian character; Terman's pronouncements in 1916 about eugenic measures to reduce the incidence of mental retardation; the primitive 1917 army mental tests; or the U.S. Congress's 1924 Immigration Restriction Act, which cited the 1917 army test data? These antiquated topics, which occupy most of Gould's book, can in no way serve to undermine or discredit current work in physical anthropology, psychometrics, differential psychology, behavioral genetics, and sociobiology. Readers expecting to find a forthright critique of the present status of issues and controversies in these fields are in for disappointment. The closest thing they will find to criticism of contemporary mental testing is the insinuation of its guilt through remote historic lineage.

Stolen from here.

Here's data from my lab--

What lab?

N=227 university students-- 18-21 age range

Given that you test university students, why do you expect IQ to be a normal distribution there?

In your own words: Why is IQ assumed to be a normal distribution?

Claus; you've obviously never submitted a paper for publication. The rule is not to overstate your data. Especially when using stats to make inferences, qualifiers are needed. The values are precise; the labels one attaches to them should be qualified. That's social science.

I didn't use them in my first post because I didn't know you were going to parse every word I said in an attempt to fish out out some perceived contradiction.

I wasn't going to. I checked your argument to see if it held up to scrutiny, that's all.

Why do you expect not to be questioned, especially about such a controversial field?

You obviously are not trained as a scientist-- I don't mean that as an insult, but you're just not asking the right questions (nor is dann). Blow my comments off with smug arrogance, but at least concede that nominally I've been open minded here (i.e., willing to be shown I am wrong) whereas you and Dann are coming across as rather arrogant (imo).

Just because you are a scientist does not give you the one-and-only way to ask questions. Sometimes, being schooled in what questions to ask can be a huge hindrance to asking those questions that need to be asked.

Randi isn't a scientist either, but that doesn't stop him from asking pertinent questions. Would you brush him off in this manner, if he were the one asking the questions I ask?

Or, to ask more generally: Do you think that Radin and Schwartz should be allowed to brush Randi off, just because they are scientists and he is not?

The neisser cite is authoratative in that the article was commissioned by the APA, included a dozen leading experts as authors, and was endorsed by all of them. It represents what psychology can conclude about IQ in 1995. I'm not claiming it can't be wrong, I am claiming it's the default for what most everyone in the field would agree upon.

Let me ask you this, wrt to your (well, not your own, but someone else's) complaints about Gould's work: If 29 % is from 1950 and later, but you accept data from 13 years back, just when does the data become solid and sound?

re Gould. Indeed, sometimes data are ignored for bad reasons. Gould didn't present any data. I haven't followed his career, but has he ever collected data? Gould's ideas were ignored not because he pwnd the evil/bumbling IQ theorists but because they were straw men wholly irrelevant to anything anyone's been doing in the field now (now, being when the book was published).

Are you saying that the conclusions in The Bell Curve are correct?

No one will, but read jensen's reply to gould. It's devastating:

http://www.debunker.com/texts/jensen.html

Please ask the mods to edit your post #53.

When do we teach someone rocket science?

Do we see an increase in average IQ?
 
These antiquated topics, which occupy most of Gould's book, can in no way serve to undermine or discredit current work in physical anthropology, psychometrics, differential psychology, behavioral genetics, and sociobiology.

No, of course they cannot! Did Gould (or I) claim that they could?! What Gould did do was not only to prove them wrong but also to investigate how and why they were wrong. But it goes without saying that proving them wrong does not prove anything else wrong.

Readers expecting to find a forthright critique of the present status of issues and controversies in these fields are in for disappointment. The closest thing they will find to criticism of contemporary mental testing is the insinuation of its guilt through remote historic lineage.

What readers expect to find is rather immaterial, isn't it? Or are you saying that Gould somehow tricked his readers into believing that his book was about something which is was not?
And as far as "contemporary mental testing" is concerned, The Mismeasure of Man, i.e. the revised edition, does not deal only with "remote historic lineage" but also with the contemporary The Bell Curve.
However, I can understand why "contemporary mental testing" is not very pround of its historic lineage. :)
 

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