= 27d567bc2d48d9f40e9ccc20ea370b15)
Epiphany comments on Why Are Individual IQ Differences OK? - Less Wrong
You are viewing a comment permalink. View the original post to see all comments and the full post content.
= 783df68a0f980790206b9ea87794c5b6)
Loading…= b715d02e85f7b3b4ae65ca3d3e450868)
Subscribe to RSS Feed
Powered by Reddit
= f037147d6e6c911a85753b9abdedda8d)
You are viewing a comment permalink. View the original post to see all comments and the full post content.
Comments (526)
So what you're saying is that it's ethically wrong to use Bayesian reasoning.
If you intend to use an African prejudgment heuristic like 1 (below) rather than reacting as if you've done an equation that takes into account other relevant data like 2 (below), then I think your probability equation needs an upgrade.
1) African prejudgment heuristic: "The IQ test(s) said African's IQs are lower than those of whites, therefore this specific African individual is likely to be relatively stupid compared to my white friends."
2) Reasoning that Takes Relevant Data Into Account: "The IQ test(s) said African's IQs are lower than those of whites. However, there are known flaws with IQ tests such as cultural bias, so that figure might be wrong. Most published research findings are false (PLOS Medicine), so I should apply healthy skepticism to all the research I read. This is not likely to be an accurate piece of data to use as a Bayesian prior. Once I've decided on a prior to use, I should then adjust for other relevant data (things I know about the specific individual).
Then, if one wants to behave rationally after one has decided what to believe, I think one must continue by thinking something like this:
"Considering things like...
A. ...the fact my prior is likely to be inaccurate (there isn't an accurate one for this subject as far as I'm aware)...
B. ...the fact that even if the IQ study is correct and the IQ test it used was accurate, there's a decent chance (25%) that this specific individual has an IQ above the African average - meaning I need to avoid the logical fallacy called hasty generalization...
C. ...the risk of lost utility via damaging this individual's reputation, emotional health or opportunities for success by pre-judging them...
D. ...the risk that this makes for bad social signaling and witnesses may retaliate against me with one or more forms of social rejection if I pre-emptively treat an African like an idiot...
...do I really want to treat this person as if they are less intelligent?"
I think you may have reacted to my "I hope it is false." statement or my "it's ethically wrong to prejudge individual Africans" statement - but that shouldn't matter to your probability calculation. What should matter is to get an accurate idea of reality. Along with saying other things, I also provided other factors which are relevant, as credible sources can confirm. If one wants to be a good Bayesian probabilist, after one specifies some prior probability, one must then update it in the light of new, relevant data. [1] This situation where you focused on one part of my comment and ignored the rest reminds me of those math problems where there's an irrelevant statement thrown in just to distract you. I of course did not intend to distract you, but since you seem to think that Bayesian reasoning in this case means ignoring all the other data I presented, it appears that you have skipped the parts of the process where you ensure an accurate prior and update your prior with new, relevant data.
Life is really, really complicated. I doubt it's ever wise to just grab a prior and run with it and I certainly hope that you do not reason this way.
All of that looks like rationalization of a pre-determined belief.
No it doesn't. The conclusion supported is far too close to the 'middle ground' on the issue to readily pattern match to rationalization and seems to be a description of considered reasoning from plausibly held premises. The 'rationalisation' and 'pre-determined belief' charges could be credibly made in response to many of the comments in this thread but doesn't apply to the grandparent.
NOTE: I don't entirely agree with with either Epiphany's position or Eugine's position. In particular Epiphany seems a little too disillusioned with research while Eugine has somewhat too much passion on the race/IQ political correctness subject to keep his claims balanced enough that I could support them despite agreeing that there are almost certainly IQ differences between groups selected by just about any significant feature---not that this seems like an especially useful thing to place emphasis on. I seem to recall some credible claims about higher average mathematical intelligence in Ashkenazi Jews for example.
Regardless of whether I agree with the position being argued with, the parent is making what seems to me to be a false accusation and one of a kind that derails the flow of discourse.
Respectfully disagree, though we may be focusing on different parts. It worries me that your analysis seems to focus on the conclusion drawn rather than the procedures followed.
Consider this bit of the great-grandparent:
This looks like pure rationalization to me, with many inaccuracies and irrelevancies, all of which support the intended conclusion. (An unbiased sloppy thinker should be expected to make mistakes in both directions simultaneously; when the mistakes all point one way it suggests bias.) The most egregious irrelevance is the attempt to discredit one of the most replicated findings in social science with a study that showed that prominently promoted recent research often fails to replicate. The last sentence is bizarre by its addition- would someone using race as Bayesian evidence not update on other information? (The later reference on Bayesian updating is similarly bizarre.)
The rest of the great-grandparent discusses how, even if we had an estimate, we should be careful how we use that estimate. Of course--who would argue against using estimates carefully?--but irrelevant to the question of whether or not it is ethical to use Bayesian reasoning.
This reads like a classic case of motivated cognition. You don't want to believe the conclusion; therefore, you selectively look for potential flaws then declare that there's still a chance. The reason I believe the connection between race and intelligence is not just because of the tests but because more or less every relevant aspect of reality (e.g., the statistic on race and crime, the nearly complete lack of blacks in intelligence intensive fields, e.g., math, programing, the state of majority black countries) looks the way one would expect it to look if the connection existed.
Who is claiming otherwise?
Yes there is. You just don't want to believe it exists.
Actually the chance of this particular black being above the African average is 50% (more if I condition on the fact that he is in the USA). The probability that he is above the white average is significantly less. The probability that he is above some high cutoff is can be even lower.
This is a general argument against using evidence of any kind.
This is potentially a problem, although here the problem is arguably with the witnesses behaving irrationally and/or participating in out of control signaling arms races than with the strategy itself.
Did you stop to make distinction between me being influenced by motivated cognition and alternate explanations like:
Me seeing significant flaws in data that would otherwise support your conclusion. Part of this may be that I've spent a significant amount of time reading about IQ and giftedness and I have learned that there are a lot of pitfalls to doing IQ related research.
Me simply being unaware of relevant data. (This might be the case in the event that the people who supplied my data were influenced by motivated cognition or confirmation bias.)
You seeing motivated cognition in my words because of being influenced by motivated cognition yourself?
There is an alternate explanation for those which does not have the same issues that IQ tests and studies have: The effects of slavery and prejudice. We are certain that slavery and prejudice has influenced them, and that it has existed for a long time. To know this, one must only look at the KKK or investigate the history of black enslavement. Imagine a third world country. Imagine that an equal proportion of those inhabitants are removed and used as slaves. Imagine an equal proportion of them dying. Imagine that they're freed, but all of them - not some but all - are freed into a situation of extreme poverty where they don't even own a home or have the ability to read. Many still aren't being taught to read. Consider also that even though there have been advances in medicine, poverty means you can't afford health insurance or medical treatments. Don't think that disability and chronic illness are uncommon - they're not. Not even in America. They're probably especially common for the poor. Don't think that severe worker abuse ended with slavery, either - do some research on sweatshops in America sometime. Now take into account the effects of stress, and the human element - how those effects can compound into things like mental illnesses and drug addictions. Would you predict that the majority of these people who started out with literally nothing and without even the education to read would manage to avoid pitfalls like disability, mental illness, drug addiction and sweatshops and carve an opportunity to excel out of poverty and ignorance over the course of 150 years? I would not expect that. I would expect most of them to have fared poorly.
I don't see a good way to tell the difference between a low IQ score due to actually being less intelligent versus a low IQ score due to nurture-related reasons such as the following:
If you want to attribute the IQ scores to race, not poverty or circumstances, then there needs to be a good way to distinguish between nurture and nature as a cause for low IQ scores. Do you have one?
If it's true I want to believe it. However, it's hard to believe it exists without a citation. Do you have one?
I respect you more for being able to say something that supports my view better than it does yours. +1 karma for that. I still think the number is 25%, however I do not view this as a key point in our disagreement, so I will leave it at that.
You appear to have taken that statement as an argument regarding what to believe. It was not. I deliberately put that part after the section where I was discussing deciding what to believe, and put it under "if one wants to behave rationally".
In Africa? It so happens that the world is much bigger than the USA and the people in sub-Saharan Africa test for IQ pretty much the same as African-Americans.
Sure, you can control for wealth/economic status. Or you can go and test poor peasants in China and poor peasants in Africa. You seem to think that this is a white-vs-black US problem. It's not. The highest-average-IQ large group of people is East Asians, like Han Chinese -- not Caucasian whites.
I am curious -- how do you figure out that in a distribution close to normal only 25% are higher than the mean?
Actually much of sub-Saharan Africa has average IQ around 70, whereas African-Americans average around 85.
Yeah. I suspect there are two reasons for that. First, malnutrition as a child can drive your IQ down and malnutrition is much more common in sub-Saharan Africa. And second, many African-Americans have some white ancestors. Look at Obama, for example -- he self-identifies as African-American though only half his genes come from Africans.
Ethiopians have lots of Caucasian admixture too. (But once we know that both genes and environment play an important role, working out which fraction of the variance in IQs is due to each to within three significant figures doesn't sound terribly interesting to me.)
How is that not self-evident given the edge cases (puppies going to human schools / children growing up in a sensory-deprivation tank, both not doing well on IQ tests)? Regarding the significant figures, we need to keep in mind those are to be interpreted as "this is how much of the variance factor X explains given a certain scenario". They will vary across e.g. nations:
In a homogeneous environment (e.g. classless society, higher Gini-index), genes will acount for more of the variance than in a mixed environment with people of the same genetic makeup. IOW, as you e.g. change the school system, or who marries whom, so you change those relative weights of nature v. nurture.
You might say "well, given typical circumstances and typical gene pool variances", but consider that the discussion is in any case comparing e.g. the US to sub-saharan Africa (or whereever), which absolutely cannot have the same relative weights for their respective nature versus nurture, unless the different gene variances in tribal societies and the different "school" environment somehow equalled out, a dubious proposition.
If your point is that it's not clear to what extent the difference in intelligence is due to nature or nurture, I agree but would like to point out that for many applications it doesn't matter.
"X have a lower IQ on average."
You can choose "People of African descent" or you can choose "People from poor backgrounds" or "People with serious health conditions" or "People with drug addictions" or any number of other things.
When attempting to determine how best to help a school in a black ghetto that is failing, and you're choosing between spending money on remedial courses or on a school nutrition program, you will most certainly benefit from having this knowledge.
Conversely, I can't think of any applications for which tying IQ to race is useful. Would you name three examples?
Also, I'm still interested in seeing the source that you believe is an accurate prior regarding race and IQ. Do you happen to have that information available?
The Bell Curve book is a standard source. Otherwise a quick look at Wikipedia provides this:
Ok thanks. However, I am aware that "most published research is wrong" (PLOS Medicine) and know that there are factors that need to be controlled for in studies on race and IQ (in the second numbered list). Do you also claim that these factors were controlled for, that the key study or studies have been replicated, and that this is quality data that generally avoids research pitfalls? That's what I am looking for.
Yes, I've read Ioannidis. However you're using this quote here as a rather blatant aid to your confirmation bias. There have been many, many studies which all show the same thing. These are findings which have been confirmed, re-confirmed, and confirmed once again.
Precisely because these results are so controversial they have been the subject of very thorough checking, vetting, and multiple attempts to debunk them. The results survived all this. What, do you think that for the last 50 years no one really tried to find holes in the studies showing racial IQ differences? Many highly qualified people tried. The results still stand.
I think everyone should consider that published research findings are likely to be wrong each time they are seeking research findings. If you agree that we should be skeptical about research findings, why do you think that asking questions about whether the research controlled for multiple factors, was replicated etc. should be taken as evidence of confirmation bias? Maybe you disagree that we should be skeptical about research findings?
Every single one? I would find that hard to believe for any topic, especially one as politically charged and controversial as this one, where both sides have a motive to bias research in their particular direction. If that is true, I would find it surprising. Assuming you were referring to the results of a meta-analysis, would you point to that meta-analysis please?
Are you saying that studies used for "The Bell Curve" did take into account the factors I mentioned, were replicated and / or may contain a meta-analysis that states that all the studies that could be found had similar findings?
If you aren't specific about what measures were taken to ensure quality in the information you're providing, I have no way to make the distinction between a matter of opinion and a matter of fact when you claim things like "The results survived all this." Please be specific about what particular quality features the data in The Bell Curve provides.
I started checking out this book because of your high praise and was surprised to find this:
On page 270, The Bell Curve clearly states: "The debate about whether and how much genes and environment have to do with ethnic differences remains unresolved"
Can you explain why you seem to be disagreeing with me, when both myself and The Bell Curve agree that we don't have a good way to tell whether IQ differences are nature or nurture? (Note: In addition to that, my view is also influenced by skepticism about research in general and an understanding that although IQ tests are correlated with various things, they have some limitations.)
You might be in a situation where you need to decide how to allocate money to help a black school or a white school. If white people have higher IQs, and if money is worse at improving the performance of students who do poorly because of IQ than it is at improving the performance of students who do poorly for other reasons, then you should allocate the money to the white school.
You might be in a situation where you need to hire a white person or a black person and have no information about their IQs, but you would prefer an employee with a higher IQ. You then should hire the white person.
Of course, this is exactly why using IQ this way is a bad idea.
How often do you know someone's race but nothing else whatsoever about them?
What?
It's an additional piece of information and allows you to do more of an update. If black people, on the average, have lower IQs than white people, then (for instance) black people with college degrees are still likely to have lower IQs than white people with college degrees, even if college raises the likely IQ for both groups. It is also possible to have traits such that given those traits race is no predictor at all, but those would be balanced out--if race is no predictor of IQ among people with PhDs, it must be a stronger predictor for people without PhDs than it is for the general populace.
Not necessarily. You haven't accounted for differences in variance between the two groups.
To make a very rough analogy: it seems widely believed that there is greater variance in intelligence among men than among women; surely such differences are imaginable among racial groups. (For one thing, there's more genetic variation among Africans than among other human populations — which makes sense, given that all other human populations descended from small subsets of Africans.)
Nor for selection effects on who gets to go to college — for instance, there seem to be a lot of pretty dopey people who have unusual bonuses to their chances to get into college on account of their parents being wealthy.
Nor for socioeconomic differences in general, which are substantial between whites and blacks in America. To make another very rough analogy: If two people reach the same measurement of achievement, but one has to overcome greater obstacles to get there, we would often take this as an indicator that that person had greater ability: a runner who runs a five-minute mile while carrying ten pounds of lead weights is a better runner than one who makes the same achievement carrying no weight.
Why would IQ matter more than academic and job performance?
If the results of the racial IQ studies are true, then that is very important because it disproves the doctrine of ethnic cognitive equality. Many people, especially in America, have this idea that all ethnic groups must have exactly equal average cognitive ability, and that if one or more ethnic groups perform below average on a test of aptitude, that is taken as strong evidence that the test is invalid and racially biased and thus cannot be used.
For this reason, many aptitude tests are severely restricted in their use since they are considered racist. This in turn would have a negative economic impact if these tests are actually valid, since employers and colleges are forced to use other, less effective means to vet candidates.
Actually, the legal rationale for restricting the use of such tests in certain kinds of hiring is not that they're invalid. If you proved to the courts that they were "valid," meaning an accurate reflection of crystallized intelligence/abstract reasoning/g/whatever, this would not undermine the central legal argument against them, which is that they produce disparate impacts on protected classes.
There is the "business necessity" defense to disparate impact accusations. If the courts were to accept that IQ tests correctly reflect g/intelligence that defense will be much more applicable.
I'm pretty sure the courts have allowed that IQ-like tests are acceptable in many situations for many types of employment. It's not a hypothetical. I guess I'm saying the question of the "validity of the tests" is a red herring, even if it's an ideological hot potato. I think the main debate these days is not at all about the validity of the tests, it's a debate over business necessity versus disparate impact.
Yes, and what is the justification for the disparate impact doctrine?
And for that matter what is the justification for declaring certain classes "protected"?
Are you asking rhetorically?
The American legal justification for the disparate impact doctrine, and for declaring race a protected category, is the 1964 Civil Rights Act, and the legislative justification for that was a history of massive mistreatment of individuals based on skin color.
I gather from the thrust of arguments in this thread that you may be strongly opposed to government protection of racial minorities in the United States, and that you may not believe that racial bigotry is--or possibly even was--a problem that needed legal redress. It is worthwhile to note that the legal basis for these doctrines is well established and, through the wonders of litigation, much studied and highly nuanced. That does not speak to any philosophical objections you have but, frankly, no philosophical objections you make have any bearing on the legal justification.
Well, seeing an unknown man approaching you at night, granted this is more about criminality than IQ but the correlation is the same.
Also thinking about whether affirmative action and the desperate impact doctrine are reasonable ideas.
Actually, it is far more prudent to avoid a stranger approaching me at night, regardless of his race - depending on the environment I am in.
If he is approaching from a dark alley, I will head away from him, whatever his race. If he approaches me at a party full of friends, I will speak to him.
The crime statistics are not so incredibly different for blacks and whites that you can simply trust all of the whites.
Once you specify where I am, who I am with, what kind of body language the man is using, how big he is, and what he is wearing, further specifying what race he is wouldn't matter that much.
I can't recall anyone on LW advocating those, so you might be attacking a straw man.
That's because they rarely come up. In any case my point is that these doctrines are in place in the USA and the false belief that race is uncorrelated with anything important.
Nobody has yet shown that racial-group data is more correlated with important things than individual data.
Is that true? Depending on the "where I am" part?
There's only so much you can tell about someone from "what kind of body language the man is using, how big he is, and what he is wearing", after all. In the right racially-segregated society, could it provide valuable additional data?
As the saying goes, "Life is an IQ test." The predictive ability of IQ on income (and most other statistics of interest) is very similar for each race, which suggests that differences in measured IQ scores map onto differences in life outcomes. To the extent that a medical condition makes someone test poorly, it generally also makes them live poorly. (There are a handful of prominent exceptions to this- like dyslexia- which don't significantly impact the main point.)
Now, where those IQ differences come from in the first place is an interesting question. Many people have looked at it, and the consensus answer for individual IQ differences is "somewhere between 50% and 80% of it is genetic," and the extrapolation from that to group IQ differences is somewhat controversial but seems straightforward to me. A perhaps more interesting question is "what knobs do we have to adjust those IQ differences?"
Here's Jason Richwine explaining that all serious scientists have agreed on the basics of IQ for decades, and the media is completely mistaken on the state of reality and scientific consensus.
It seems pretty relevant to me, because it looks like basic statistical innumeracy on your part, unless you think the IQ distribution of African Americans is tremendously skewed such that the mean intelligence is the 75th percentile of intelligence, rather than the 50th percentile like it would be in a symmetric distribution. (Or you think that the African average is higher than the African American average, which is very much not the case.)
As a stand-alone statement, I would probably leave this alone. But as a response to "What about nurture", the first thing that comes to mind is:
Has Vaniver adequately corrected for the just world fallacy?
Ok, that's interesting, but it does nothing to rule out nurture factors that would impact both IQ and income.
I agree that IQ is mostly genetic and that IQ does seem to correlate with a lot of factors. I'm not saying IQ does not exist. What I am saying is that, specifically when it comes to black people, there are other factors that are definitely influencing performance and IQ scores. Therefore I reject claims about IQ and race that haven't controlled for known factors.
Actually, when I read that section (it starts with "What scholars"), I parsed it like this:
Jason explicitly says that there's a scientific consensus on many issues that seem controversial to journalists.
Jason states that virtually all psychologists (not scientists) believe there is a general mental ability factor (That he's not saying is specifically connected to race).
Then, without qualifying these statements with anything along the lines of "most x believe", he states: "In terms of group differences, people of northeast Asian descent have higher average IQ scores than people of European lineage, who in turn have higher average scores than people of sub-Saharan African descent."
I will not assume that this sequence of claims means that the group differences statement is also something scientists have a consensus about. If I did, that would be a non-sequitur.
Also, below that, he writes:
"It is possible that genetic factors could influence IQ differences among ethnic groups, but many scientists are withholding judgment until DNA studies are able to link specific gene combinations with IQ."
This is where I stop reading the article because it is clear to me that it does not say "there's a scientific consensus that there's a link between race and IQ". If you have a credible source for that claim, I'll be curious about it. No more Politico articles please.
It might or might not have been an error. In any case, I'm not going to go digging for that right now because I still think knowing the percentage is irrelevant to the current point. Whether the figure is 50% or 25%, it is still true that a significant proportion of people will have an IQ above average and therefore it would be hasty generalization to assume that a person of a certain group was an idiot. That is one way in which the exact number is irrelevant. However, that point about hasty generalization is much more irrelevant at this particular moment because we haven't even decided on a prior, let alone have we got a decent posterior - so the step where we have a concern about making a hasty generalization based on our probabilities should be in this disagreement's future. If it becomes relevant, I will dig around, but not right now.
It's not clear to me why you would be interested in nurture factors. There are two things going on here: the ability of IQ to measure intelligence, and the historical causes of intelligence.
With the exception of disorders that prevent people from testing well without significantly impacting life outcomes, the historical causes of intelligence don't appear to have much to do with the ability of IQ to measure intelligence. A nurture factor (like, for example, being breastfed as a child or being struck on the head) actually alters someone's intelligence, and their intelligence influences both their test scores and their income.
Again, this looks like it's mixing up the historical causes and the predictive ability. If the predictive ability is the same independent of race (it is), then it doesn't matter why the racial IQ averages are the way they are. What we would need to show to discount IQ measurements is that the IQ measurements are not as predictive for members of one race than another.
As an example of a real bias like this, girls tend to get better grades than standardized test scores alone would predict. In order to get an accurate estimate of what a girl's grades would be from her standardized test scores, you need to adjust upwards because she's a girl. Symmetrically, boys score better than one would expect from their grades, and so when predicting scores one needs to adjust upwards. When moving in the opposite direction, one would need to adjust downwards; a girl's grades overestimate her standardized test scores. But note that this doesn't mean we throw out the data- it's still predictive! We just adjust it the correct quantitative amount.
Now, do we know the historical causes of that effect? I'm not familiar with that field, but it seems like there are lots of plausible theories that probably have support. Even without knowing the causes, though, we can use our estimates of the size of the effect in order to predict more accurately.
What would you call a scientist who studies intelligence? (I suppose I should also make clear that by "serious" I mean a scientist speaking confidently in their field of expertise.)
One does not say "most scientists believe that hydrogen has one proton," one says "hydrogen has one proton."
Here's the APA report he references. The group means section starts on page 16.
In general, though, asking for citations like this is really frustrating, because it doesn't seem like the true rejection. The linked Richwine article referenced more serious sources that you could find if interested, and even if you didn't notice that Googling "racial IQ averages" leads to this as the fourth hit, and if sufficiently motivated you could find the paper that journalist was writing about, and so on.
But if you're not curious enough to seek out this information, and you don't seem to have updated on the other information I've provided, what reason do I have to expect that the difference between my position and your position is that I have citations, and as soon as I share them you'll adopt my position?
Sure. When you think in distributions, an estimate generally comes with both a mode and a precision (or, relatedly, the standard deviation). Knowing someone is African American gives you an estimate with a mode of 85 and standard deviation of 15, which has a non-trivial but small chance of being over 120. Knowing someone got a 120 on a recent IQ test gives you an estimate with a mode slightly south of 120 and a standard deviation of probably 2-5, depending on the precision of the test.
That's a saying? Are there also sayings "Life is a test of height.", "Life is a test of immune system efficiency" and "Life is a test of facial symmetry"? We may as well round out the set. Anything of comparable test significance that I missed? Oh! "Life is a test of breast perkiness" and "Life is a test of capacity for situation-appropriate violence."
(I actually agree with the point of the rest of the paragraph.)
Those may be qualitatively similar but I would suggest they are quantitatively different. I would be surprised if facial symmetry did not correlate with income, health, social status, and so on, but I would expect the correlation to be much lower than the correlation with IQ. The saying means that most metrics of life success are moderately highly g-loaded, and so it makes sense that IQ correlates positively with basically everything good.
I think you either drastically overestimate the impact of IQ or underestimate the predictive value of those other factors of life success---particularly in environments different to those experienced by the white male nerd class of first world countries. Regardless, the paragraph with that alleged saying redacted would be far more persuasive than the one with it included. It strongly undermines the credibility of your point. I currently agree with you despite the opening sentence, not because of it.
Perhaps we should switch to numbers to make it easier to communicate. I haven't looked at any numbers recently, so I don't expect these guesses to be particularly accurate, but I'd guess IQ correlates .2 to .6 with most interesting measures of life success, and height correlates around 0 to 0.1 (after controlling for IQ). I'd guess facial symmetry has correlation >0.3 with other health-related things, a correlation around 0.4 with social things, and a correlation below 0.3 with the rest.
If you have a source handy that estimates these sorts of correlations, I'd like to see it, but I don't think it's important enough to spend time hunting something down.
I would be very surprised if IQ correlates at .6 with, say, wealth or income. Parental wealth and income possibly correlate no more than 0.5 to childrens' incomes, and it would be frankly remarkable for IQ to be (1) transmitted intergenerationally to a large degree, and (2) more closely correlated to financial outcomes than one's parent's financial outcomes, since your parents often give you not only your genes, but your inheritance/early support, financial assumptions, and first set of career contacts.
Do you similarly control the IQ finding for height? For obvious reasons that is necessary for consistency.
I'd certainly expect (based on loose memories of studies encountered) height to predict more than '0 to 0.1' and IQ to predict a heck of a lot less than 0.6, especially when considering populations that are not limited to first world nations. I wish it were otherwise, naturally. I'd love the world to be more biased in favour of my own highest stat.
In any case, I would consider it legitimate to readers who encounter "Life is an IQ test" delivered in response to the quoted context to be sufficient evidence that the comment is not worth reading and downvoting and ignoring it. It was only because I was more patient that normal that I bothered to read further and found you had a good point hidden in the detail. Do with that information what you will.
EDIT: sorry, misunderstood your comment.