Introduction
by Tani Jantsang Much hoolah has been made over
identical twins. Despite the so-called "research" on twins, exposed
and explained by many, the subject keeps popping up. The
old version was that twins were one Soul in two bodies. Books such as "The
Curious World of Twins" by Vincent and Margaret Gaddis is one of the more
interestingly entertaining books on twins, filled with anecdotal "evidence"
and even a push for astrology. But now, and for a long time, the focus seems
to be on the fact that they share identical genes. No problem there:
but that focus is stretched out, and backed by PHONY PROOFS, to try to show that
genetic determination reigns supreme. This
idea might be fine for some, but the following text exposes the shoddy and dishonest
resrearch for what it is.
But why is this being presented on this website?
Because some have fallen for genetic determination hook line and sinker.
Notably, it is mostly those who imagine they were BORN "the alien
elite" or somesuch - when they were IN FACT born from the gene
pool that has been Culturally Christian for 2000 or so years.
What? A Christian gene pool?
O.K. Let us for a moment get into the notion
of a Christian gene pool. Well, what that would mean is that whole
groups of people that married and mated and bore children, did so with
Christian Cultural norms guiding them every step of the way. Certain
phenotypes (visible traits, physical or behavioral) would be selected
against, others selected for. They couldn't exactly select based
on genotypes because they couldn't SEE the genotype: they could
only SEE the expression of the genotype - the phenotype.
Given that this would express within a given "NORM OF REACTION"
determined BY the environment: well they lived in a Culturally
Christian ENVIRONMENT. This would extend even into what they ate
and did not eat: metabolism.
Genetic determination is COMPLETELY against any
notion of Free Will, Free Choice, Freedom to like or dislike, and so
forth.
Please turn now to an expert, Professor Richard
Lewontin, who shocked the world and won a prize for PROVING that heterozygocity
is far superior to homozygocity. A chapter from his book HUMAN
DIVERSITY follows.
This is presented for educational purposes and falls
under "fair use."
Excerpts
from Human Diversity by Richard Lewontin:p.24: ...
But we do not even know which environmental factors are relevant to the development
of most human traits, much less how to control them for an experiment. Certainly,
early nutrition has some important effect on the height to which people grow,
but it is remarkably difficult to get reliable information on people's actual
food intake. For behavioral traits, the things that make up "personality,"
we hardly know what in the social environment we should begin to measure. The
second difficulty is more fundamental. In order to establish the norm of reaction
for a genotype, we need to have many individual organisms of identical genotype,
since exposing the same organism to different environments in sequence will not
tell us what we want to know. We would need sets of identical quintuplets (or
decuplets, or some such) whom we could separate at birth (or even before) and
raise in controlled environments. In fruit flies, special controlled breeding
methods are available that allow us to produce large numbers of genetically identical
organisms. In Achillea, identical triplets were produced by the simple
expedient of cutting each plant into three pieces. In humans, producing large
numbers of genetically identical individual organisms and then growing them in
controlled environments is biologically very difficult and socially out of the
question. The closest that investigators are reported to have come to finding
human beings of identical genotypes raised in different environments are the reported
cases of identical twins who have been raised apart. Identical twins come from
the same fertilized egg, and so are genetically identical. If such a pair could
be raised in different environments, then we would have at least two points in
the norm of reaction of their genotype. We do not, however, live in a Gilbert
and Sullivan operetta world, where children are separated r from their parents
at birth or exchanged in the cradle and raised in radically different environments.
The only published studies of identical twins raised apart that claimed completely
random adoptions were those of Cyril Burt, but it has now been revealed that these
twins were fictitious. The other published study with a substantial number of
twin pairs (43) shows clearly that twins separated at birth are not separated
very widely but are kept by sisters, aunts, p.25: grandmothers,
or close friends, usually living in the same region or even in the same village,
and often attending school together. We simply do not have the data necessary
to plot even two points on a norm-of-reaction curve. Thus, our assessment of the
interaction between genes and environment in influencing the development of human
beings necessarily depends on historical, anthropological, and social information
and on information about the molecular and developmental bases of different traits.
Although no one has ever determined
the norm of reaction for human blood groups in relation to, say, temperature or
nutrition, we are certain that blood type is insensitive to these variables because
of information we have on the r molecular mechanism underlying the formation of
red blood cell antigens. This confidence is supported, although by no means conclusively,
by the fact that ~ people have never been observed to change their blood type
in the course of a r lifetime. In itself, that stability is not evidence of a
constant norm of reaction. Finally, the relation of blood types of children to
those of their parents is particularly simple. For example, two parents of blood
type M have children only of type M, whereas two type N parents have type N children
only. Children of type MN are the only outcome of a mating of an M parent with
an N parent. The phenotype of an
individual organism is not completely specified even when its genotype and its
developmental environment are given. There is a third contributing cause of variation.
Consider the Drosophila whose left and right sides are shown in the photographs
above. The number of sternopleural bristles, p.72: environment
their average expressions would differ. The lack of heritability does not reveal
the cause of that lack. Conversely, a high heritability of a trait in one population
at one time tells us nothing about its heritability at other times in other populations.
A second important fact about heritability---one
that is widely misunderstood---is that knowing the heritability of a trait cannot
help one to decide how to change it. It is simply not true that, if a trait has
a heritability of, say, 90%, it is useless to change the environment because somehow
"genes determine the trait." Our discussion of genetic variance showed
that it is not possible to extrapolate from the amount of genetic variance to
the consequence of a change in the environment. All that the heritability
of a trait tells us is how much genetic variation exists for that trait at a particular
time in a particular population. A measure of heritability contains no implicit
prescription for change. These cautions
about heritability are not academic quibbles. They lie at the heart of important
social issues. A great deal of effort has been devoted to trying to determine
"the" heritability of such quantitative human traits as IQ performance,
wealth, schizophrenia, mental retardation, blood pressure, and so on, in the belief
that a knowledge of the heritability of these traits will somehow prescribe social
action. A recent U.S. court decision held that claimed cures for baldness are
necessarily fraudulent because baldness is "inherited". But there are
examples whose import is much more serious: It has been asserted that compensatory
education will necessarily fail because IQ is said to have a high heritability.
Similarly, it has been asserted that psychiatric treatment of schizophrenia either
is useless or must necessarily depend upon drugs and other physical manipulations
because schizophrenia is "heritable". In each case, the same fallacy
is operating: "Heritable" is taken to mean "insensitive to environmental
change." In addition, in the case of mental disease, the implication is that,
because it is heritable, there must be a molecular defect and that, therefore,
only a molecular manipulation can treat it. In part, the problem is that a word
like "heritability" carries with it an everyday meaning that has been
confounded witt its technical meaning. Counters have become money. But the problem
is deeper. It goes back to the false dichotomy between nature and nurture, to
the belief that gene and environment are separate and separable determinants of
organisms rather than interacting and inseparable shapers of development. The
Estimation of Heritability All
studies of inheritance, whether of quantitative traits or of simple qualitative
traits, are studies of the resemblances between relatives. If genetic differences
are implicated in differences between phenotypes, we expect relatives to look
more alike than unrelated people, since relatives are likely to have some of the
same genes, inherited from common ancestors. Because parents pass their genes
p.73: on
to their children, we expect those children to look more like each other and more
like their common parents than they look like the children next door. The basic
methodology of genetic investigation is always such family comparisons. The trouble
is that members of the same family share more than some of the same genes; they
share some of the same environments as well. To get at the role of genes in shaping
family resemblances, it is necessary, somehow, to cancel out the effects of environmental
similarities. In experimental organisms, that is no problem: Several offspring
of the same pair of parents are raised in controlled, separated environments together
with offspring of other parents. Cows and mice can be removed from their mothers
at birth and nursed mechanically or given to foster mothers. Seeds of plants can
be grown in rigidly controlled environments. But the nuclear or extended family
and social class are realities of human life that cannot be so easily cancelled
out or manipulated by experimenters. As a result, there is a complete confounding
of the effects of genetic similarity and those of environmental similarity on
the resemblances among parents and children, uncles and nieces, brothers and sisters.
It is essential to distinguish between
family resemblance and genetic resemblance. Many traits are familial
but not heritable: For example, in the United States, the greatest similarity
between parents and offspring is in two social traits, religious sect and political
party. Yet no serious person would suggest that the very high family resemblance
for these traits is a result of genetic determinaton. Familiality
is often confused with heritability, when it is supposed that the resemblance
of parents and children is a demonstration of the power of heredity. Familial
similarity is the observation. It should not be confused with the explanation,
which may involve genetic and environmental commonalities. The cases in which
people confuse the two can be deeply revealing of prior social assumptions. Although
no one takes a similarity in the political affiliation of parents and children
to be evidence of a gene for political party, it is widely believed that a similarity
between parents and offspring in IQ scores is prima facie evidence that
genes influence---even determine---intelligence. Alcoholism is commonly thought
of as inherited because it often happens that a father and his son are both known
to drink excessively, but we never hear it said that Presbyterianism is in the
genes. Yet the evidence is really the same. Assertions that alcoholism might somehow
have a simple biochemical basis confuse physiological sensitivity to a given amount
of alcohol, which does indeed appear to be heritable, with a complex social behavior---drinking
compulsively---for which there is no evidence of heritability. The
only solution to the dilemma of environmental similarity is, in principle, to
conduct adoption studies. Children separated from their parents and their p.74: siblings
at birth can be compared with their foster relatives and their biological relatives.
If a trait is completely heritable, we would expect adopted children to resemble
their biological relatives closely with respect to that trait, while they ought
to be no more similar to their foster parents than to randomly chosen people.
On the other hand, we would predict that adopted children would resemble their
foster parents, rather than their biological mother and father, in such traits
as religious affiliation. Thus, adoption studies lie at the heart of human quantitative
genetics. At first glance, the most seductive of these studies are those of identical
twins raised apart. Because identical twins result from the separation of a single
fertilized egg into two complete organisms, they are genetically identical. Therefore,
if they are similar even when raised apart, their similarities must be the result
of common genes; their differences will reveal the effects of environmental variation.
The trouble is that there are practically no cases of identical twins who have
been raised in truly different environments. In the next chapter, we will review
the evidence about these romantic lives. But it is sufficient, for the moment,
to observe that, when twins are separated at birth in real circumstances, they
usually turn out to be given to very similar families. p.76: The
Heritability of Some Human Traits heights
of the children and those of their biological parents, but there is no correlation
between the heights of the children and those of their adoptive parents. Thus,
we are entitled to conclude that height is highly heritable. However, all of the
children are a full 10 centimeters taller than their biological parents. The explanation
is that the superior nutrition the children received in their adoptive homes resulted
in considerable growth, but equally in all the adopted homes. As a consequence,
they showed no person-by-person similarities to their adoptive parents, but the
general amelioration of their environment made them as tall, on the average, as
their foster parents and much taller than their own malnourished biological mothers
and fathers. The phenomenon illustrated
by the growth of these hypothetical children is directly related to the issue
of heritability and environmental similarity: Height, in this example, is totally
heritable. The heights of the children are perfectly correlated with those of
their biological parents. Yet that perfect heritability does not contradict the
possibility of making the children grow taller by giving them better nutrition.
It should come as no surprise that
very little is known about the genetic variation underlying those human traits
that show continuous variation. The kinds of adoption studies that would be needed
to distinguish mere familiality from real heritability are not common, partly
because the data are expensive to acquire but also because adoptions are usually
not truly random with respect to family environment. There is a lot of folklore
about the heritability of various human traits but not a great deal of good evidence.
An example of the difference between
everyday wisdom and science is the case of musical ability. It is widely believed
that musical ability is "inherited," yet, when the evidence is examined,
it evaporates. First there is the problem of defining "musical ability."
Is it the ability to compose, or to perform on an instrument, or simply to carry
a tune, or just to be able to distinguish ascending from descending sequences
of notes? The evidence offered in support of the potion that outstanding musical
ability is inherited is usually the datum that composers run in families. After
all, look at the seven generations of musical Bachs, of whom two were truly outstanding,
the Mozarts (father and son), the Scarlattis, or the Haydn-brothers. But anecdotes
are not evidence. For every Bach family, there are scores of outstanding musicians
who were the first and last of their line. Mendelsohn's father was a banker, Chopin's
a bookkeeper, Schubert's a schoolmaster, Haydn's a wheelwright. Much less is known
about their mothers, but none were known composers or performers. It is not at
all clear that the number of musical families relative to the number of musical
singletons is greater than might occur by chance, because no one has ever com- p.77: piled
the statistics of familiality of musical performance and composition. In reading
about the lives of composers, one certainly gets the impression that a large number
were the children of minor performers---mediocre court tenors like Beethoven's
father or free-lance double-bass players like the elder Brahms. Even granting
familiality, it is impossible to say whether the correlation between parent and
offspring is genetic in any part or is entirely environmental. The familiality
of musical performance certainly seems to have been greater in the eighteenth
and early nineteenth centuries than it is now, which is what one would expect
from a time in which music was a trade like tailoring, tinkering, or baking, passed
on from father to son as a way of making a living. Unfortunately for science,
the prolific Johann Sebastian Bach did not have the foresight to have ten of his
twenty children fostered from birth by pastry cooks and peasant families so that
we might estimate the heritability of musical genius. p.78:
Heritabilities of human traits |
Trait |
H² |
Height | .94 |
Weight | .42 |
Arm length | .87 |
Foot length | .81 |
Hip circumference |
.66 | Cephalic
index (head breadth/head length) | .70 |
Masculinity-femininity |
.85 | IQ |
.53 | Extroversion |
.50 | Neuroticism |
.30 | The
table above shows estimates of heritability, H², for a number of physical and
personality traits of white women in the United States. These estimates are from
a number of different studies. The physical measurements are clearly defined.
The "personality" traits, however, refer to scores on various standardized
tests or the outcomes of structured interviews. The reader should not take too
seriously the names given these tests. Whether "masculinity," "neuroticism,"
or "intelligence" has been assessed is a matter open to debate, inasmuch
as there is no agreed upon definition or measure of such constructs. The values
given in the table have not been estimated from adoption studies. Rather, they
depend upon an alternative approach, using twins, that is meant to solve the problem
of environmental correlation. Identical, or monozygotic, twins are genetically
identical since they come from a single fertilized egg. Fraternal, or dizygotic,
twins are simply siblings who happened to have been conceived simultaneously from
the fertilization of two eggs. They are no more alike genetically than any pair
of siblings: They share 50% of their genes. If we can assume that the environmental
correlation between monozygotic twins is the same as that between dizygotic twins,
since a pair of twins of either sort is brought up as a pair in the family, then
we can use comparisons between the two kinds of twin pairs to estimate heritability.
Identical twins will be identical for a trait with 100% heritability, while fraternal
twins will not. In general, symbolizmg the correlation between monozygotic twins
as rM and between dizygotic twins as rD, an estimate of herirability is: H²
= (rM - rD)/(1- rD) p.79: It
was this formula that was used to obtain the values in the table on the facing
page. It is exceedingly unlikely, however, that the assumption of the method is
correct. Dizygotic twins, even when they are of the same sex (as they are in all
such calculations), are not treated like monozygotic twins. The very similarity
in physical characters between identical twins causes them to be treated alike
and to see themselves as alike. In many ways, their similarities are reinforced:
Often they are given names that begin with the same letter, are given the same
hair style, or are dressed identically. Thus, whatever genetic similarities exist
become the cause of enforced environmental similarities that spill over onto other
traits. Physical traits, such as height or cephalic index, are less susceptible
to this bias. But if arm length and foot length are influenced by sports activity
or by shoe style, these traits may be more environmentally correlated in monozygotic
than in dizygotic twins. So-called "personality" measures will suffer
greatly from this confounding. As a result, we really do not know what the heritabilities
of these traits are, or even if they are heritable at all. Without random adoption
studies, we cannot know how much of the observed familiality of a given trait
is a consequence of common genes and how much is a consequence of common environment.
In the next chapter, we take a closer look at the explanation of a trait that
has received a great deal of attention from human geneticists, psycholgists, and
social theorists, but about which we know much less than is asserted: intelligence.
p.88: Mental
Traits One of the most
obvious facts of our social existence is the immense variation in status, wealth,
and power that exists among individuals and groups. Some people have a lot of
money, while others have little; some have power over the condition of their own
lives and over the lives of others, while most are relatively powerless. In all
advanced countries of the capitalist world, the poorest 20% of families have about
5% of the total income, while the richest 5% have 25% of the income. Nor have
the proportions changed significantly in the past 50 years. If we consider wealth
rather than income, the distribution is much more asymmetrical. About 2% of the
population of the United States own 25% of the wealth. But, if we exclude from-consideration
such commonly held property as cars and houses, that 2% own a much greater fraction
(75% of the corporate stock, for example). In addition to individual variation
in wealth and power, there is marked differentiation by race. The median family
income of blacks in the United States is only 60% that of whites, but their infant
mortality rate is 1.8 times as high, and their life expectancy is 10% shorter,
as was true 50 years ago. An outstanding
feature of status, wealth, and power is that they run in families. The children
of oil magnates tend to own banks, whereas the children of oil workers tend to
be in debt to those banks. It was exceedingly unlikely that Nelson Rockefeller
would have spent his life pumping gas in a Standard Oil station. Certainly, there
is social mobility in our society, but rather less than is celebrated in song
and story. The best-known study of social mobility in the United States showed
that 71% of the sons of white-collar workers were themselves white-collar, whereas
62% of the sons of blue-collar workers remained in that category. These figures
vastly overestimate the amount of mobility in status, wealth, and power, however,
because most of the movement between white- and blue-collar jobs is horizontal
with respect to income, status, control of working conditions, and security. Clerks
are no less workers because they sit at desks rather than stand at benches, and
salesclerks, who constitute one of the largest "white-collar" occupational
groups, are among the lowest paid and least secure of all workers. Of American
business leaders in 1952, 83% had fathers who were either businessmen or professionals,
10% more than in the first quarter of the century when farm families
contributed significant numbers of children to upward social mobility. The
fact that there is familial variation in status, wealth, and power in our society
is deeply troubling to many---perhaps most---Americans. We are the beneficiaries
of social revolutions, extending over the seventeenth and eighteenth centuries,
that were supposed to abolish inherited wealth and power. The founding fathers
called for "liberty, equality, and fraternity" and assured us that "all
men are created equal." Of course, they meant literally men---women's
p.89: suffrage
did not come until the twentieth century---but they did not mean literally all
men: Slavery persisted in the United States (and in British and French dominions)
until the middle of the nineteenth century. One cannot make a revolution, however,
with the slogan "liberty and equality for some"; so the notion that
we really are all born free and equal is the cornerstone of our national ideology.
How are we to reconcile the manifest
contradiction between the ideology of equality and the fact of inequality? On
the one hand, one might claim that the inequalities that have characterized our
society since the eighteenth century constitute a structural property of social
relations themselves, that we do not really live in a community designed to give
equal psychic and material benefits to all its members but that, on the contrary,
our social system is built on inequality. That is, we might claim that the Declaration
of the Rights of Man and the Declaration of Independence were propaganda designed
to legitimize the ascent to power of a new aristocracy, the aristocracy of money.
Needless to say, that point of view has not been very popular. An
alternative explanation---the one that has been dominant for two centuries---is
that our society is as equal as it can be, given the natural inequalities among
people. According to this view, the political and social revolutions of the eighteenth
and nineteenth centuries destroyed artificial hierarchies and allowed the natural
differences in ability to manifest themselves: Ours is an equalopportunity society
in which everyone starts the race of life together and with p.90: the
same social opportunities, but some are simply faster runners than others. It
r is not sufficient, however, to assert that there are intrinsic differences in
ability, for that alone would not account for the passage of social power from
one generation to the next. It must also be claimed that the differences are biologically
inherited---that, for example, the Rockefellers of the present generation are
rich not because they inherited money and power, like aristocrats of the age of
Louis XVI, but because they inherited the ability to acquire money andr power.
The idea that variations in intelligence,
morals, gentility, and acumen are~ biologically inherited was a prominent theme
of nineteenth-century literature. r Dickens and Eliot were its greatest exponents
in English. Oliver Twist, it will be remembered, was raised from birth in a parish
work house, the most vicious and ~ degraded social institution of the nineteenth
century, where, together withr "twenty or thirty other juvenile offenders
against the poor-laws, [he] rolled about the floor all day, without much inconvenience
of too much food or too much clothing." Yet, from earliest youth, he is the
epitome of gentleness, honesty, and morality, not to mention perfect English grammar
and pronunciation. In all this he contrasts sharply with young Jack Dawkins, the
Artful Dodger, a person of similar uphringing who is as low and cunning a specimen
of lower- class English ragamuffin as can be imagined. The reason for their difference,
which is the central mystery of the novel, is that Oliver is of upper middle-class
parentage: His life story is the perfect adoption study showing that blood will
out. A more extreme example is George
Eliot's hero Daniel Deronda who, as the adopted son of an English baronet, spends
his time in gaming and the other idle but genteel pursuits that were characteristic
of young men of his class. But, mysteriously, at about the age of 21, he develops
an interest in Hebrew philosophy and falls in love with a Jewish girl. The reader
is not too surprised to learn, at the end of the book, that Daniel is really the
son of a famous Jewish actress. Nor was this only an English preoccupation: The
most widely read French authors of the late-nineteenth century, Eugene Sue and
Emile Zola, used the same themes. Zola's entire cycle of Rougon-Macquart novels
was explicitly designed to show the determining power of heredity over social
differences. In the twentieth century,
the claims for the dominance of heredity in human affairs have been expressed
less in literature and more in science. In 1905, in a scientific paper on twins,
E. L. Thorndike, who was unquestionably the leading American psychologist of the
day, declared that, "in the actual race of life, which is not to get ahead,
but to get ahead of somebody, the chief determining factor is heredity."
The firm scientific basis for this dictum may be judged from the fact that it
was written a mere 5 years after the rediscovery of Mendel's p.91: paper,
but 5 years before the chromosome theory of inheritance, 10 years before the development
of the statistical theory of correlation coefficients, and 13 years before the
foundation of the theory of inheritance of quantitative traits. In the three-quarters
of a century that have since passed, the central effort of human behavioral and
psychological genetics has been to put a firm foundation under Thorndike's claim.
Click here to see picture: "The
supposed history of the Kallikak family is often cited in psychology textbooks
as an exampleof the critical role of heredity in determining mental and moral
traits." of the critical
role of heredity in determining mental and moral traits." p.92:
Although there have been many studies
of temperament, alcoholism, mental disease, spatial perception, and other mental
characteristics, the core of human psychological genetics has been the problem
of "mental ability." This concentration arises from the widespread conviction
that social success in modern industrial society depends increasingly on the power
of abstract reasoning. In this view, cognitive ability determines the order at
the finish line in Thorndike's "race of life," an ability that must
be inherited. Concentration on intelligence has been made possible technically
by the creation of instruments that are said to measure differences in cognitive
ability: so-called intelligence, or IQ, tests. The
IQ test was first introduced in France in 1903 by Alfred Binet in an attempt to
identify those children who were not doing well in school but who would benefit
from extra remedial work. The test emphasized memory, vocabulary, and the ability
to discriminate among related items. This test was later modified in the United
States by L. N. Terman to produce the Stanford-Binet IQ test, which became (and
still is) the standard against which subsequent tests have been validated. In
adapting Binet's test, Terman (and the proponents of the mental-testing movement
in general) wrought a subtle but fundamental change in purpose. From being a test
for singling out children who could profit from remedial work in school, the IQ
test became a method for arraying all children on a scale of intrinsic mental
ability, which was presumed to be independent of schooling and experience. The
belief that IQ tests measure something that is intrinsic to the individual and
beyond the influence of the environment is not an incidental feature of IQ testing;
rather, it is basic to it. The very name IQ (intelligence quotient) is derived
from the operation of dividing the actual scores on the test by a correction factor
for age, thus restandardizing the test for each age group and cancelling out the
major developmental change that occurs in mental functioning. Those who have worked
on developing the tests have also cancelled out the effects of sex by weeding
out those questions on which boys and girls, on the average, score differently.
The tests are claimed to be without cultural bias and, in some earlier tests,
to be without any linguistic bias either. This is patently untrue for verbal tests,
but a considerable effort has gone into constructing nonverbal mental tests to
cope with the problem of culture. The tests have not, however, been restandardized
to cancel out class or race differences, inasmuch as these are the very differences
the tests are meant to reveal. That is, if differential intelligence is the cause
of differential social success, then a test that claims to measure intelligence
had better discriminate between individuals with a larger probability of social
success and those whose chance of making it is small. A
great deal of attention has been paid to the supposed fixity of IQ as opposed
to the development of abilities during a person's life history. For the same per- p.93: son,
the scores on an IQ test that is repeated within a short time are highly correlated
(r = +.95); so the test is said to be reliable. Tests given increasing numbers
of years apart become more and more poorly correlated, especially if the second
test is given well into adulthood, but the correlation of tests 10 years apart
is reasonably good (r = +.80). The different components of an IQ test, such as
vocabulary, analogies, pattern recognition, and so on, are also reasonably well
correlated with each other, as are different tests, including both verbal and
nonverbal ones. This correlation between tests and parts of tests is regarded
as a demonstration that they all measure some underlying general intelligence,
the so-called "g factor," that is reflected in various ways but is itself
a fixed feature of the organism that neither develops with age nor is susceptible
to environmental influence. Thus, the theoretical superstructure of mental testing
has a strong commitment to a biological explanation of variation in performance.
The stage is set for the demonstration of the heritability of intelligence. How
do we know that a test called an intelligence test does, in fact, measure intelligence?
When the first IQ test was created, it was designed so that children judged on
some other ground to be intelligent would do well on it. If the test had given
high marks to those children everyone "knew" to be stupid, it would
have been rejected. The original IQ tests were culled and adjusted so that the
scores corresponded to teachers' and psychologists' a priori judgments about who
was intelligent and who was not. The tests were tinkered with to make them the
best possible predictors of school performance. IQ
tests vary immensely in form and apparent content, but many of them contain a
good deal of material that obviously depends upon social class, home environment,
and quality of schooling. Children are asked to identify characters and authors
from English literature ("Who was Wilkins Micawber?"); they are asked
to make judgments about socially acceptable behavior ("What should you do
if a child younger than you hits you?"); they are asked to conform to social
stereotypes ("Which is prettier?" when given a picture of a child with
Negroid features and one with doll-like European features). The "right"
answers to the questions do, in fact, correlate highly with scholastic performance.
On the other hand, nonverbal geometric tests correlate less well with school performance.
Not surprisingly, the ability to sit for a long time concentrating on a series
of apparently meaningless questions is itself a reasonable predictor of school
performance. IQ tests were not developed
from some general theory of intelligence and then subsequently shown, quite independently,
to predict scholastic or social success. On the contrary, they were carefully
designed to be predictors of scholastic p.94: performance,
and the notion that they measure some intrinsic human characteristic, intelligence,
has been added on with no clear justification. Indeed, there is no general agreement
even about what intelligence is, and at least one educational psychologist has
defined intelligence as the quality that IQ tests measure. We do not, in fact,
know whether there is normal variation in intrinsic "intelligence" because
we do not know how that mysterious property is to be defined. What is clear, however,
is that there is considerable variation in actual school performance and that
there are short-cut tests whose scores are highly correlated with that performance.
That these tests are called "intelligence" tests instead of "school-performance
predictors" should not mislead anyone into accepting their implicit claims.
The important social claim of mental
testing is not simply that IQ tests measure intelligence but that they explain
the variation in social success. The equation is simple: Variations in status,
wealth, and power are the result of variation in intelligence; IQ tests measure
intelligence; therefore, IQ tests predict the distribution of status, wealth,
and power. But do they? The standard
measure of social success used by American sociologists is not social class, a
European concept whose current validity is denied by most English-speaking sociologists,
but socioeconomic status (SES, for short). This is a numerical score compounded
of the income, occupation, and years of schooling of the male head of household.
The observed correlation between a man's childhood IQ score and his adult success,
measured either as SES or as income alone, is reasonably high in most studies,
about .85. Thus, IQ seems to be a good predictor of social success. There is a
problem, however: Economic and social success may have many causes, including
intelligence, and these causes are themselves causally linked to each other. The
apparent correlation between income and IQ might be purely an indirect effect
of the other causes. For example, suppose that family background were both the
direct cause of good performance on an IQ test and the direct cause of success
in later life. Then IQ would have a strong correlation with later success, not
because IQ caused later success but because both IQ score and later success were
effects of the same underlying cause. fomily background. The
case of IQ and success is an example of a general problem in the analysis of causes
of variation. Whenever there are multiple and complex paths of causation. the
simple observation that two variables are correlated does not identify the paths
of causation. The figure on the facing page is a very much simplified set of possible
paths of causation relating socioeconomic background, schooling, IQ, genes, and
adult socioeconomic status. An observed correlation between any two variables
in the figure is evidence only that there are one or more p.95: Click
here to see picture: "A simple
scheme of possible causal paths connecting family backgrounds, genotype, IQ, and
social status." paths connecting
the variables. It is not evidence of the direction of the causation or of how
many steps the path contains. Thus, childhood IQ might be correlated with adult
income (1) because IQ is a cause of school success, which, in turn, is a cause
of income (path f-c); or (2) because it is a predictor of adult IQ, which is a
cause of income (path g-d); or (3) because it is a cause of school success, which
is a predictor of adult IQ, which is a cause of income (path f-e-d). All of these
paths make IQ itself a cause of adult success. Suppose, however, that all the
paths were abolished except a and i. Childhood IQ would still be correlated with
adult success, but without being a cause of that success. On the contrary, it
would be an effect of socioeconomic status rather than its cause. Clearly,
if we wish to understand the causes of social power, simple correlations are not
sufficient. We need to look at the individual links in the scheme of causation.
This can be done by examining each variable alone while holding the others constant.
Thus, we can ask, "How much of the variation in adult income is predicted
by variations in childhood IQ if we consider only people with the same schooling
and the same socioeconomic background?" Conversely, we could hold IQ constant
and see how much variation in success is explained by variation in parental success.
When this was done by economists Sam Bowles and Valerie Nelson, the results were
quite dramatic. The first graph on the next page shows the probability of a man
being in the top one-fifth of the population in income given various amounts of
schooling. Schooling here is measured not in absolute years but in what proportion
of the population had as many or fewer years in school. For example, a man who
fell in the lowest 10% of the population in number of years of school had only
a 3.5% chance of being in the top income group, whereas a man who fell in the
highest 10% of schooling had a 45.9% chance of being at the top of the income
distribution. Is this because high IQ causes both school success and economic
success? No. The solid bars in the graph show the probabilities when we consider
only people with IQ scores near 100, which is the average for the population as
a whole. There is virtually no difference. Even a man with an IQ of 100 was ten
times more likely to p.96: Click
here to see picture: "Relation
between the probability of high income for the population as a whole (light-color
bars) and for only persons having average IQ's (dark-color bars) and years of
schooling (upper graph) or social background (lower graph)." [caption] receive
a high income if he was in the top 10% of schooling than it he were in the bottom
10%. Holding IQ constant does very little to the relation between years of schooling
and eventual success. The second graph shows a similar comparison when family
socioeconomic score rather than schooling is considered. Men whose fathers were
in the top 10% of the social hierarchy were ten times more) likely to receive
high incomes than those who came from the poorest social~ stratum (43.9% compared
with 4.2%). This changes only a little if we consider p.97: only
men with average IQs. As the solid bars show, a man of average IQ from an upper-class
family had an advantage of seven and one-half times over a man of the same IQ
from the poorest family. If there is some intrinsic quality that differentiates
the successful from the unsuccessful, IQ tests have failed to capture it. If such
tests really do measure intrinsic intelligence, as they are claimed to do, then
one can only conclude that it is better to be born rich than smart. IQ
and Genes To postulate an
inborn and unchanging basic intelligence is not the same as postulating genes
for intelligence. The relation between the properties of being unborn, unchanging,
and genetic are more complex than they appear. First, inborn does not mean genetic.
Of the physical and physiological differences among individual people that are
present from birth, many are caused not by genetic differences but by developmental
noise. Small accidental alterations in the growth patterns of nerve connections
in the fetal brain may produce considerable differences in mental functioning.
Second, genetic does not mean unchanging, as this book has repeatedly stressed.
Gene action is directly responsive to environmental signals, and the complex development
and metabolism of the whole organism put it into constant interaction with the
external world. Third, inborn does not mean unchanging. "Blue babies"
born with an anatomical defect of the circulation can be made quite normal by
a straightforward operative procedure to close off the connection in the blood
supply that should have been closed off naturally during fetal development. Finally,
differences between people may be unchanging without being either inborn or genetic,
as those who have lost limbs, sight, or hearing in accidents can testify. These
facts have not been understood by psychologists, who have usually assumed that,
if intelligence was really intrinsic, it must be genetic and that, if it was genetic,
it must be unchanging. An example of this misunderstanding is a famous article
by the educational psychologist Arthur Jensen, which posed in its title the question
"How much can we boost IQ and scholastic achievement?" and concluded
"not much" on the grounds that IQ is largely hereditary. To complete
the circle of confusion, part of the evidence offered by Jensen in support of
the notion that IQ is hereditary was its supposed constancy over a person's lifetime.
IQ scores are distributed as shown
in the graph on the next page in each population for which the test was designed.
The mean score is 100, and the standard deviation is 15 points. The distribution
is symmetrical around the mean and has a bell shape called the normal distribution.
There is nothing particularly revealing in any of these characteristics of the
distribution of IQ scores, because the p.98: Click
here to see the picture: "Distribution
of IQ scores in a population for which the test has been standardized. The percentage
of the population falling within each range of scores is given above the horizontal
axis; so 17% of the people have an IQ between 80 and 90." [caption] tests
were designed and the scoring system was adjusted in order to produce ar normal
distribution of scores with a mean of 100 and a standard deviation of 15. When
the Japanese version of the Wechsler Intelligence Scale for Children was developed,
for example, it was carefully tailored to produce that distribu-r tion among Japanese
school children. In the belief that important issues of social practice would
be determined by knowing the heritability of IQ scores, psychological geneticists
have made a considerable effort to partition the variance of the IQ distribution
into genetic and environmental fractions and to) establish a heritability ratio.
Quite aside from the question of what use such information really is to social
policy, the problems of the estimation itself arer enormous. The
question, as always, is to separate genetic from environmental similarity in families.
The figure on the facing page gives observed correlations in IQ scores between
various kinds of related and unrelated people. Both medians and ranges over various
studies are given, together with the correlation expected if the heritability
were 100% and the effects of genes on IQ were additive. Ther more closely related
the people, the higher the correlation in their IQ scores. The median correlations
between parent and child, between siblings, and between dizygotic twins are all
close to the simple genetic expectation of .50. Unrelated people have a much lower
correlation, and identical twins have a much higher one. An increasing correlation
with increasing family relationship is predicted ~ by any theory of the causation
of IQ, however; so the gross pattern is not very r informative. The
very large ranges for each class of relationship are disturbing. It is diffcult
to have too much confidence in the studies of parent-child correlation when the
results are evenly spread over a range of r = .20 to r = .80, or of the siblings
who are, again, remarkably evenly spread between r = .30 and r = .80. Under the
circumstances, the fact that their median values fall close to .50 seems more
like a numerical artifact than the revelation of any biological reality. These
ranges correspond to a range of heritability between H² = 40% and H² = 160%---not
a very reassuring result. Comparisons
between people with the same genetic relationships but different environmental
circumstances and those between people with different genetic relationships but
the same environmental circumstances have been most p.99: Click
here to see the picture: "Observed
correlations in IQ between people of different degrees of relationship. Each point
is a separate study and each vertical line shows the median value for each degree
of relationship." [caption] often
used to estimate the heritability of IQ. The IQ scores of unrelated people are
uncorrelated when they are reared apart, as indeed they must be under any theory
of causation, but their scores have a median correlation of about .25 when they
are brought up together. One study produced a correlation of .30 for the IQ scores
of unrelated persons raised apart, which should caution us against accepting scientific
results too readily. There is no way that a truly random sample of unrelated persons
can be correlated in their IQ scores. Either the study was badly designed or the
result was a statistical fluke. In either case, it gives one pause. Comparing
the correlation between the IQs of foster parents and those of their foster children
with the correlation between the IQs of biological parents and those of their
children again show the effect of a common environment. At the other end of the
scale, the IQ scores of identical twins reared together have a median correlation
of .88, whereas those of identical twins reared apart have a correlation of .75.
Again, the effect of a shared family environment is detected. If
we take the results in the figure above at face value for the moment, we can see
that there are a variety of ways in which to estimate the heritability of IQ,
and they all agree in giving a fairly high value. The .25 correlation between
unrelated persons reared together might be regarded as a direct estimate of the
effect of a common environment. Monozygotic twins raised together have both genes
and environment in common, and their median correlation is .87. So, correcting
for the effects of a common environment, we can get an estimate of heritability
of .87 - .25 = .62. Alternatively, we can use the standard compar- p.100: ison
between dizygotic and monozygotic twins. The median correlation for: monozygotic
twins is .87 and that for dizygotic twins is .53. Therefore,
| rM
- rD | | .87
- .53 | | | H²
= | -------- | = | --------- | = | .72 |
| 1-rD | | 1
- .53 | | | However,
the trouble is that we cannot take any of these studies or theories at face value.
We have already discussed (p. 79) the dubiousness of the assumption that identical
and fraternal twins are really treated in the same way; so the estimate of .72
is too large by some undetermined amount. This problem also contaminates the first
estimate. Can we really assume that the correlation of .25 between the IQ scores
of unrelated persons reared together is also an adequate estimate of the strength
of the effect of a common environment on identical twins ? If not, then we have
undercorrected for common environment in the first estimate as well. Indeed, we
ought to be suspicious of hanging too much generality on any study of what is
an extraordinary human relationship. Twins
separated from birth have a fatal fascination for the human geneticist, just as
they do for the romantic novelist. Alexandre Dumas's Corsican Brothers,
separated by a knife at birth but feeling simultaneous pain and pleasure over
a distance of many miles, are but the literary counterparts of Sir Cyril Burt's
no less fictitious identical twins who have identical IQs although they have never
seen each other. The scenario seems perfect for an examination of the genetic
effects on human variation: Identical twins have identical genes; if, raised in
unrelated environments, they nevertheless show similarities in their tests, these
similarities must be genetic. In fact, the correlation between the IQ scores of
identical twins raised apart is a direct estimate of the heritability of IQ. As
the figure on page 99 shows, the estimate is .75. A
little rumination on the subject of identical twins raised apart begins to raise
questions. Nineteenth-century novels aside, what do we imagine the circumstances
to be that will separate identical twins in earliest infancy? Are the twins really
raised in utterly different environments ? There are only four studies of IQ in
separated twins reported in the literature on this subject, and these have been
the subject of a detailed analysis and review, by the psychologist Leo Kamin,
that produced disquieting results. As might be expected, none of the studies contains
many twin pairs: Juel-Nielsen, 12 pairs; Newman et al., 19 pairs; Shields, 44
pairs; and Burt, 53 pairs. Newman and Shields got their pairs by advertising in
newspapers or on television and then culling the respondents' mailed replies.
Thus, it seems there was self-selection on the part of the respondents, each of
whom was sufficiently similar to the other twin to regard the pair as identical
and each of whom was in contact with his or her "separated" twin. P.101: Only
Shields provided detailed life histories for his twins, and it turns out that
they were not really separated at all. In real life, twins are separated at birth
because the mother has died, or because the parents cannot afford to keep them
both, or because they are too sick to do so. The children are typically given
to aunts, sisters, or best friends, and are brought up in neighboring houses in
the same towns. In Shields's study, every twin pair but 4 was raised by close
relatives, close friends, or neighbors. Twin pairs separated at birth and raised
in unrelated environments belong more to the realm of romance than to reality.
The largest and most widely used
study of separated twins is actually a series of studies presumably carried out
by Sir Cyril Burt and his collaborators over a period of 20 years. The researchers
maintained that there was no significant correlation in economic status between
the families raising the separated twins. No details were given. When Kamin examined
the studies carefully, curious anomalies appeared. Sample sizes were reported
differently, or sometimes not at all, in different reports. No details were given
about the IQ tests. Test scores were adjusted to account for the interviewers'
subjective perception of whether they adequately reflected the similarities of
the twins. Correlation coefficients computed on different sets of twins nevertheless
agreed over and over to the third decimal place. The original data, moreover,
were supposed to have been lost in a laboratory fire. Several
years of investigation by Kamin and, later, by the medical writer Oliver Gillies
finally revealed that Burt's twin studies were a complete fabrication. Burt's
named collaborators did not exist, the test scores did not exist, and, it appears,
the twins did not exist either. For this reason, all studies by Burt and his "collaborators"
were left out of the figure on page 99. Burt apparently had a long history of
fabrication, including laudatory reviews of his own work, published under fictitious
names in a journal of which he was the editor. The
reactions of psychologists and human geneticists to the succession of revelations
about Burt's work are in themselves revealing. Some said that Burt had merely
"carelessly reported" his work. One can be careless, it seems, to the
third decimal place. Others said it was a phenomenon of Burt's old age, a result
of senility, but it became clear that the frauds went back to his early work as
well. Most disturbing of all, some of his senior colleagues said that they had
always doubted Burt's reports but that they had never challenged him because he
"said it with such style." Burt's
fraudulent reports and the reactions of his colleagues to them are only the extreme
of a general phenomenon in the study of human mental and temperamental variation.
Most studies of the heritability of mental traits are marked by one or more serious
methodological defects, including (1) very small sample size; (2) confusion of
observed correlation between relatives with genetic correl- P.102: ation;
(3) selective adoptions in fostering studies; (4) subjective ratings of similarities;
and (5) after-the-fact statistical adjustments that bring the data more in line
with genetic expectations. Any or all of these defects would automatically disqualify
a research report for publication in a scientific journal if the subject were
milk yield in cattle. Journals of psychology and behavioral genetics regularly
publish them, and no progress in the rigor of such work is apparent. As late as
1979, the major scientific journal of behavioral genetics published an estimate
of the heritability of human IQ based entirely on the observed correlation between
parents and offspring in normally structured families, even though the editor
knew, and has elsewhere stated, that there is no way of knowing in such cases
how much of the correlation is a consequence of shared family environment. It
is impossible to avoid the conclusion that there is a deeply established prejudice
in favor of a genetical explanation of human behavioral variation. Adoption
Studies In principle, it
should be possible to assess genetic influence on IQ variation from adoption studies.
The figure on page 99 includes data from studies comparing either the IQs of parents
with those of their foster children or the IQs of siblings raised apart. On the
face of it, the two sets of studies give very similar results, although the expected
genetic correlation between the IQs of siblings raised apart is .5 and that between
the IQs of foster parents and those of their foster children is zero. Thus, there
is not much evidence here for heritability. The
ideal adoption study would compare the IQ of an adopted child with the IQs of
its adopted parents and those of its biological parents. This ideal is difficult
to realize, howevet, because it is usually impossible to obtain the data about
the biological parents. A substitute is to use a different group of children and
their biological parents, but to try to match the characteristics of the biological
and adoptive families as closely as possible. In either case, it is vital that
the adoptions have been made at random. That is, it is essential that children
of parents whose IQs are high are not fostered into families with higher than
average IQs. Otherwise, an IQ correlation may appear between foster children and
their biological parents that may be a consequence not of the biological relation
but of the environment in which they were raised. There
have been three large adoption studies that have used this comparative design.
Two, the studies by Burks and Leahy, compared foster families with a different,
but supposedly matched, set of biological families. The third, the study by Skodak
and Skeels, used educational levels of the foster mothers, IQs of the children,
and IQs of the biological mothers of the foster children. Unfortunately, no IQ
tests were given to the adoptive mothers. The results shown in the table on the
facing page seem very strong evidence for genetic effects, inasmuch as the correlation
of children with their foster parents in each case is so tl~natelv no 1() tests
were t!iven to the adontive mothers. The results shown in the table on the facing
page seem very srong evidewnce for genetic effects, inasmuch as the correlation
of children with their foster parents in each case is so p.103:
| Correlations | | |
Study | Foster Child
with Foster Mother | Biological Child with Biological
Mother | Foster Child with Biological Mother |
Burks | .19 | .46 | --- |
Leahy | .20 | .51 | --- |
Skodak and Skeels | .02 | --- | .32 |
much lower than
the correlation of the children with their biological parents. A careful examination
of these studies by Kamin, however, raises some serious questions about their
design. The study by Burks included many severely retarded children, which, of
course, greatly reduced the IQ correlation with the adoptive parents, who in general
come from higher socioeconomic categories and have higher IQ scores than the average
for the population as a whole. In both the Burks study and the Leahy study, the
matching of biological and foster families was poor. Adoptive parents were older,
had incomes that were higher by 50%, and had fewer children, as might be expected.
They were, in general, much less variable than the biological families in nearly
every respect. In the Skodak and Skeels study, there were selective adoptions,
with children of highly educated mothers being placed in higher-status homes.
So, from such studies we really do not know what the heritability of IQ is.
The
most striking and consistent feature of adoption studies is not usually much commented
upon by those interested in demonstrating genetic effects: Whatever the correlations
may be between the IQs of children and those of their biological parents, the
phenomenon of adoption raises children's IQ significantly. In the study by
Skodak and Skeels, the biological mothers' IQs averaged only 86, one standard
deviation below the average for the population. By contrast, the mean IQ of their
children who were raised by adoptive families was 117, one standard deviation
above the mean for the population. In a study of orphanage children in the United
Kingdom, the same phenomenon was seen. Children taken into the orphanage in early
infancy had an average IQ of 105 if they remained in the orphanage until they
were about 5 years old, 100 if they were returned to their biological mothers,
but 115 if they were adopted. These observations are just what is to be expected
from the social characteristics of adopting parents: They are generally middle-class
and upper-middle-class couples, with few or no children of their own, who have
the financial power, the motivation, and the class background to produce "intelligent"
children. There is, of course, no contradiction between this adoption effect and
the possibility that IQ scores may be highly heritable. "Genetic" does
not mean "unchanging." No matter how high the heritability of IQ might
prove to be, upper-middle-class families tend to produce upper-middle-class children.
//END EXCERPTS// |