(11,159 words)
THE THIRD CULTURE
[Editor's Note: See "How
Is Personality Formed?" A Talk with Frank J. Sulloway in EDGE
40 and also the
response by Judith Rich Harris in EDGE 42 ).
FRANK SULLOWAY RESPONDS TO JUDITH RICH HARRIS
Birth Order and The Nurture Misassumption: A Reply to Judith
Harris
INTRODUCTION
It is odd to find myself being criticized by Judith Harris in
her commentary on my EDGE interview with John Brockman. This is
because we share so much in common in our views about the origins
of personality. For example, we agree that parents have relatively
little direct impact on the personalities of their children. We
also agree that genetics accounts for a substantial source of personality
differences among human beings.
Where Harris and I disagree is over the nature of the specific
environmental influences that are important in personality development.
Harris ascribes these environmental sources almost entirely to the
peer group--that is, to influences operating outside of the family
environment. In particular, she contends in her book The Nurture
Assumption that the influence of parents ends with conception.
By contrast, I believe that a variety of influences, both inside
and outside of the family, contribute to individual differences
in personality. In this connection, I certainly support Harris's
thesis that peer groups affect personality, and I applaud her constructive
arguments on this topic. However, I also believe that Harris has
pushed her thesis much too far, and that her rather extreme stand
on this subject has led her to deny solid evidence in favor of within-family
influences.
Much of the relevant evidence on within-family influences was
presented in my recent book Born to Rebel: Birth Order, Family
Dynamics, and Creative Lives. Based on 26 years of research
involving 6,566 participants in 121 radical revolutions and reform
movements, I demonstrated that birth order and other aspects of
family niches are systematically related to personality for a variety
of different traits. Furthermore, these behavioral findings hold
when the data are controlled for sibship size, social class, and
various other background influences that have tended to confound
the results of previous studies on this subject.
BIRTH-ORDER RESEARCH: JUDITH HARRIS'S ACHILLES HEEL
The critical relevance of birth-order research to Harris's controversial
thesis about the family is best understood in connection with the
cumulative findings of behavioral geneticists. In studies of twins
raised together and apart, researchers have shown that about 40
percent of the variance in personality traits is attributable to
genetics. Another 35 percent of the variance is attributable to
the nonshared environment (that is, experiences that are not shared
by siblings who have grown up together). Of the remaining variance
in personality, about 20 percent is associated with errors in measurement,
which leaves just 5 percent that can be explained by the shared
environment (or family milieu).
One of the most important unanswered questions arising from these
behavioral genetics findings is the precise nature of the nonshared
environment, which constitutes the lion's share of all environmental
influences. The nonshared environment has two main sources: family
microenvironments and those extrafamilial experiences, including
peer group influences, that are not shared by siblings. By proclaiming
that personality is primarily shaped by peer groups, Harris is forced
to deny an overwhelming body of evidence that supports the influence
of family microenvironments on personality. The single most convincing
threat to Harris's extreme thesis is the voluminous research on
birth order. Because there are no genes for being a firstborn or
a laterborn, birth-order effects must be attributed to differences
in within-family environments. (1)
At first glance, the literature on birth order does not appear
to provide encouraging support for the influence of family microenvironments.
In their important 1983 book, two Swiss investigators--Cecile Ernst
and Jules Angst--undertook a comprehensive review of more than a
thousand studies on this subject that had appeared between 1946
and 1980. Ernst and Angst argued that when studies are controlled
for background factors that often confound results (and lead to
spurious conclusions), birth-order differences are not generally
observed. They concluded that birth-order effects are mostly artifacts
of uncontrolled background influences, principally differences in
social class and sibship size.
Based on Ernst and Angst's critical verdict, Harris reiterated
this viewpoint in her 1995 Psychological Review article that
outlined the basic thesis of her new book. Unfortunately, Ernst
and Angst's literature review was impressionistic--that is, conducted
without the benefit meta-analytic techniques, which, in the early
1980s, were beginning to be employed in the biomedical and social
sciences. In the Preface to their 1983 book, these two authors regretted
that they had not taken advantage of these newer methods, which
have shown themselves, in the interim, to be far more reliable than
impressionistic forms of review.
In an article published in 1995, I performed what is called a
"vote counting" meta-analysis of the birth-order data summarized
in Ernst and Angst's book. In this form of meta-analysis, the number
of significant findings in the published literature is compared
with the number of null outcomes. For those studies reported as
being controlled for social class or sibship size, I found a confirmation
rate of 37 percent for 196 controlled findings. To the nonspecialist,
such a modest confirmation rate might seem lackluster, but it is
actually statistically impressive because the expected hit rate
is nowhere near 100 percent. Given the median size of birth-order
studies (about 250 subjects) and assuming that birth-order effects
on personality are roughly of the same magnitude as those observed
for age and sex, the best one could possibly hope for is a confirmation
rate of about 50-60 percent. By contrast, if there are no true birth-order
effects, the expected confirmation rate is only 2.5 percent (based
on a two-tailed statistical test). Thus, the observed confirmation
rate for birth order effects is 15 times higher than the expected
rate and leads to a very different conclusion than Ernst and Angst
themselves reached. These impressive meta-analytic findings represent
the Achilles heel of Harris's argument about personality development,
which explains why Harris is so concerned about repudiating these
findings.
META-ANALYTIC MADNESS
In my 1996 book Born to Rebel, I summarized my previous
meta-analytic results in the context of a Darwinian theory of personality
development based on sibling competition. It is relevant that Harris's
own response to my book was inspired by a review in Science magazine,
by the historian John Modell, who remarked that he had been unable
to replicate my meta-analytic totals. When I contacted Modell in
order to find out exactly why he had been unable to replicate my
results, it became apparent that Modell had overlooked a crucial
footnote at the bottom of the table in which I presented my meta-analytic
findings. In this footnote, I explicitly state that I had tallied
my results in terms of individual "findings" rather than "studies."
Because Modell counted studies--ignoring multiple findings in the
same study--he naturally obtained different totals. Modell subsequently
acknowledged his mistake to me (personal communication).
Meta-analytic tallies in terms of "studies" make no sense. Findings
are what matter. This is especially true given the goals of my own
meta-analysis, which sought to test specific hypotheses about sibling
strategies in terms of the Big Five personality dimensions. For
example, I expected firstborns to be more conscientious than laterborns,
and I expected laterborns to be more agreeable and open to experience
than firstborns. Each birth-order study may report multiple findings
relevant to each of these different hypotheses. A single study may
therefore confirm one hypothesis and refute others. In addition,
a study with multiple findings should not be given the same weight
as a study containing only a single finding. Thus Modell's decision
to count studies rather than findings was an inherently bad idea.
Unfortunately, Judith Harris followed in Modell's methodological
footsteps, basing her own meta-analytic counts on "studies." She
did so in spite of being fully aware that my own counts were by
"findings." Additionally, she made no effort to ascertain how these
two alternative methods of counting might differ in their outcomes.
Harris subsequently submitted her meta-analytic results to two mainstream
psychology journals, both of which rejected her manuscripts. As
a reviewer for the second of these two journals, I first became
aware of the discussion and arguments that are now presented, in
much the same form, in Harris's EDGE commentary and as Appendix
1 of her book.
Not only does counting by studies lead to different results (a
fact that Harris eagerly exploited as part of her critique), but
it also distorts the ratio between confirmations and refutations.
If, for example, a given study reported that firstborns are more
conscientious than laterborns, but also more agreeable, I counted
one confirmation and one refutation (in accordance with my formal
hypotheses for these two dimensions). By contrast, Harris classified
such "mixed" results as a single null outcome. Harris's method of
counting "mixed" results as nulls tends to underestimate the number
of confirming findings and to overestimate the number of nulls,
skewing the results in favor of her own theoretical biases. By contrast,
Harris's equally inappropriate procedure of counting interaction
effects as single positive or negative outcomes has the opposite
consequence. (An interaction effect occurs, for example, when birth-order
effects hold for men but not for women.) It would be nice to think
that these two sources of errors cancel one another out, but Harris
did not discuss this issue.
There is another reason why Modell and Harris both obtained differing
meta-analytic totals from my own: unbeknownst to them, their tallies
were riddled with errors. Neither of these two investigators consulted
the original literature, relying instead on Ernst and Angst's (1983)
summaries of the birth-order research through 1980. It is customary
for researchers performing a meta-analysis of a specific literature
to actually read the original literature. Accordingly, before I
undertook my own meta-analysis, I examined more than two hundred
of the original publications in an effort to verify Ernst and Angst's
tabulations. In the process, I found at least 45 errors and inconsistencies,
which I corrected before tallying my results. (A formal compilation
of these errors is available from the author.) Last January, I sent
a complete list of these errors to Judith Harris, indicating the
publications involved, the specific nature of the reporting errors,
and the pages in Ernst and Angst's book where the reporting errors
occur. During the seven months between her receipt of this list
of errors and the publication of her book, Harris made no attempt
to verify these inaccuracies or to implement the necessary corrections
in her own tallies. Instead, she has published her original tallies
in unaltered form as part of her critique of my own meta-analysis.
She has also withheld from her readers the extent of these errors,
as well as her own prior knowledge of this information. In science,
the knowing publication of erroneous data is considered serious
misconduct. (2)
Given Harris's inappropriate method of counting "studies" rather
than "findings," as well as her refusal to correct her counts for
the 40-odd errors that I identified in her overall tallies, it is
hardly surprising that Harris and I reached differing totals in
our respective meta analytic counts. In spite of these errors, Harris's
confirmation rate was only modestly lower than mine (29 percent,
for 179 studies, versus 37 percent for my total of 196 findings).
Moreover, her tallies--distorted as they were--did not support her
theoretical position, which becomes apparent when statistical tests
are applied to her results.
THE FILE DRAWER PROBLEM
A confirmation rate of 29 percent is generally considered impressive
by meta-analytic standards. This high a proportion of confirming
results would arise by chance considerably less than once in a million
times. This strong degree of statistical support creates a problem
for Harris's thesis. She has attempted to reconcile this difficulty
by claiming that these meta-analytic results cannot be analyzed
statistically. (3) Because some studies report more than one finding,
Harris notes, multiple findings from the same population are not
statistically independent. This assertion is true, but Harris fails
to point out that it is true only in a limited sense. About a third
of the studies in both of our meta-analytic surveys report only
one finding, and the likelihood of these findings arising by chance
is also less than one in a million. In other words, the trend toward
significant birth-order findings is sufficiently pronounced that
it remains even if two-thirds of the data are thrown away.
Harris has raised a second objection to the use of statistical
testing. Birth-order researchers, she claims, have employed a "divide-and-conquer"
strategy by testing for birth-order effects in subsamples. Because
it is not generally known how many of these subsamples may have
been tested, Harris maintains that one cannot apply the normal rules
of probability to the resulting findings. This claim is a variant
of the so-called "file drawer" problem, which involves the tendency
for investigators to publish their significant findings but for
these same investigators to leave their nonsignificant findings
lying around in file drawers. In my 1995 article, as well as in
my 1996 book, I discussed this important issue, a point that Harris
fails to bring to the attention of her readers (who are thereby
encouraged to think that I did not consider it). In this particular
context, moreover, Harris's claims about the file drawer problem
are misleading. In both Harris's and my own meta-analytic totals,
confirming findings involving interaction effects do not occur more
often than expected by chance, compared with other kinds of significant
findings, whereas the opposite outcome ought to be the case if Harris's
speculative assertion has any merit. (4)
By this point, we can perceive a characteristic style to Harris's
mode of argument. She begins by casting doubt on the validity of
birth-order results, but she invariably fails to test her claims
by using readily available data that might either confirm or refute
her position. Here is one more example of a formal test that refutes
Harris's own claims and findings. Let us grant, as most researchers
do, that file drawers contain a higher proportion of null findings
than does the published literature. This tendency would presumably
not affect the publication of significant findings that refute other
researcher's claims about birth order. In my own meta-analysis,
the number of significant confirming findings exceeds the number
of significant refuting findings by a 5-to-1 ratio, which would
occur by chance less than once in a million times (and less than
once in ten thousand times if we throw away two thirds of the data
by ignoring all studies reporting more than one finding). For Harris's
own totals, the ratio of confirming to negating findings is 4 to
1, which would occur by chance less than once in a hundred thousand
times (and less than once in a thousand times if we again choose
to ignore studies reporting more than one finding). In short, it
is not only possible, but appropriate, to apply statistical tests
to these birth-order results. For obvious reasons, Harris would
rather not do so.
SELF-REPORT DATA VERSUS REAL-LIFE DATA
In Born to Rebel I noted that real-life studies--those
based on observable behavior--yield a significantly higher proportion
of confirming studies than do self-report personality measures.
(5) Radical revolutions in history provide a dramatic case in point,
which leads Harris to engage in what appears to be another misrepresentation.
For example, she claims that my assessment of attitudes toward revolutionary
change in history involved only "a single question," remarking:
"How well can we judge someone's personality by his answer to a
single question?" In actual fact, my historical survey of 6,556
individuals involved responses to more than a hundred different
historical events. None of these events involved a single question.
Consider the case of Darwinism, which at minimum--required
Darwin's contemporaries to make judgments about organic evolution
in general, the evolution of mankind, and Darwin's own controversial
theory of natural selection. The number of questions that I and
my 110 expert raters assessed in this historical study varied by
event. For example, my analysis of attitudes toward the Reign of
Terror among the 893 deputies of the French National Convention
(1792-94) involved six different votes that took place within the
Convention; the decision to sign, or not to sign, a document protesting
illegal actions within the Convention; and 19 different measures
of political activity, which I combined into an overall scale of
tough-mindedness. (6) In assessing openness to experience among
the 3,890 scientists who participated in 28 scientific revolutions,
I employed five different measures: religious and political attitudes
(as rated by 94 expert historians), world travel, breadth of intellectual
interests, and openness to radical innovations (as judged by 110
expert historians). (7) In conclusion, it is an outrageous misrepresentation
of the facts for Harris to say that the historical data presented
in Born to Rebel reflect responses to only "a single question."
Harris places a high degree of reliance on self-report studies,
whereas I am more cautious about such measures. Over the last year
I have conducted one of the largest birth-order studies ever undertaken
in order to determine why self-report data are often less supportive
of birth-order effects than are real-life studies. This new study
involves more than 5,700 subjects who rated themselves, their siblings,
friends, spouses, and, in some cases, their parents and offspring.
One of the most serious problems with self-report data is that
measurement scales are typically unanchored. What does it mean for
us to assign ourselves a "7" on a 9-step scale for empathy, given
that we have no accurate idea about who belongs at the closest reference
points (6 and 8)? In a study of 660 CEOs, I found only minimal birth-order
effects based on self-ratings using unanchored scales. By contrast,
when I had the same CEOs rate themselves relative to a sibling,
birth-order effects were highly significant and a whopping 5 times
larger than by the previous method of assessment. Using this same
method of direct sibling comparisons with more than 4,800 additional
subjects, aged 8 to 95, I have confirmed every general claim about
personality that I made in Born to Rebel. In terms of their
overall magnitude, birth-order effects for 30 different personality
traits are somewhat smaller than those for sex but somewhat larger
than those for age (Sulloway, in press). (8) Moreover, the similarity
between the effect sizes for Big Five personality dimensions in
this new study, and the confirmation rates for the same personality
dimensions in my previous meta-analysis of the birth-order literature,
is reflected by the substantial correlation, which is .89. In other
words, meta-analysis provides a remarkably accurate measure of the
birth-order trends that are recognized by siblings themselves.
Harris maintains that we leave our birth orders behind us when
we depart the family for the wider world, a claim that is fundamental
to her peer-based theory of personality development. In order to
test this assertion, I asked 757 people to rate themselves and their
spouses on 30 personality traits. Not only do ratings among spouses
reveal significant birth order differences, but these differences
are almost as large as those found in direct sibling comparisons.
In addition, the specific traits that exhibit these birth-order
differences are the same traits that correlate significantly with
birth order in direct sibling comparisons. (9) I have recently replicated
this result in a sample of 135 roommates, which demonstrates that
unrelated individuals recognize birth-order effects in the people
with whom they live on a day-to-day basis. (10) In sum, birth-order
effects are not limited to sibling relationships or confined, as
Harris argues, to behavior within the family. On this crucial matter,
her theory is clearly falsified. The theory is also falsified by
evidence relating to other aspects of family niches, including age
spacing between siblings and changes in functional birth order owing
to the death of siblings or the acquisition of step-siblings.
For some traits, middle children score significantly higher or
lower than either firstborns or lastborns. In my previous interview
with John Brockman, I cited Catherine Salmon's recent researches
bearing on this topic (Salmon 1998; Salmon, in press; and Salmon
and Daly, 1998). By testing a series of Darwinian hypotheses about
middle children in a variety of different behavioral contexts, Salmon
found that middle children, compared with their siblings, are less
closely tied to parents and more closely identified with their peers.
In her commentary on my interview with John Brockman, Judith Harris
ridiculed my discussion of Salmon's study, saying that "the fun
part" in birth-order research comes in making up ad hoc explanations
to fit such findings. It is worth noting that Harris had not read
any of Salmon's studies; this is of a piece with her less than thorough
study of the original birth-order literature. (11) To be sure, reading
the original literature on any subject does not guarantee the accuracy
of one's conclusions. But it is generally thought to help.
CONCLUSION
Birth-order effects are alive and well in the psychological literature,
despite Judith Harris's claims to the contrary. Birth-order effects
are just the tip of the iceberg in terms of how family environments
resolve themselves into a series of microenvironments for each individual
member. Apart from the effects of birth order, we know very little
about the ways in which the nonshared environment influences human
development, mainly because psychologists have not been successful
in developing direct measures of this environment. The challenge
for future researchers lies in devising ways to test competing hypotheses
that bear on the nature and influence of this elusive environment.
Peer groups are doubtless an important aspect of this source of
environmental influences, but so are family microenvironments, as
well as life experiences more generally. To claim, as Harris does,
that peer groups explain almost everything about the environmental
sources of personality, and that family microenvironments explain
almost nothing, seems like a scientific parody of the currently
known facts.
CITATIONS AND NOTES See Below.
FRANK J. SULLOWAY is the author of Freud, Biologist of the
Mind : Beyond the Psychoanalytic Legend, and Born to Rebel
: Birth Order, Family Dynamics, and Creative Lives. -
THE REALITY CLUB
Philip W. Anderson on John McWhorter's "The Demise of Affirmative
Action at Berkeley: Dissecting the Stalemate"
From: Philip W. Anderson
Submitted: 8.26.98
Anyone who has taught blacks even briefly is likely to have encountered
the syndrome which McWhorter is talking about. It is good to have
it openly discussed and I enjoyed his piece. But I found my quantitative
sense somewhat disturbed by the statistics he gave. when one has
figures near 50% of single-parent families and 20% young blacks
unemployed (admittedly, my memory may predate Clinton prosperity)
it is hard to fit these numbers into a 2 1/2% underclass. Not to
mention everyone's anecdotal evidence based on his neighborhood
problem city, in my case Trenton and NJ has ten Trentons
at least.
It seemed to me that the argument did not need to rest on arguable
statistics.
One of the problems with Affirmative Action is that it seems to
be perpetuating a racist definition of race. We are all using an
antebellum Southern definition of black as ugh!! any
'touch of the tarbrush". When I have to fill out the official report
of a hiring, no matter in what capacity, i have to classify all
of the candidates considered in a truly weird set of categories,
especially so because there are a lot of physicists all over Asia,
and a lot of Latin American refugee intellectuals who would spit
if they knew that they willy-nilly have to be Hispanic whether they
speak Portuguese, Italian, or for that matter Nachua. But the worst
is that black trumps all other identities like Tiger Woods.
And what is Vijay Singh? Fijian, for those who don't follow
the sports news. In India, incidentally, blacker is often more intellectual.
A possibly irrelevant diatribe, but the point that the problem,
insofar as it is one, is cultural, is a good one it's the
culture, stupid!
PHILIP W. ANDERSON is a Nobel laureate physicist at Princeton
and one of the leading theorists on superconductivity.
John McWhorter responds to David Bunnell & Daniel C. Dennett
From: John McWhorter
Submitted: 11.13.98
Anyone reading my essay will clearly see that I carefully address
the income/class discrepancy in many black families; as it happens,
I lived in a whole neighborhood of such families for half of my
childhood. I know that scene well however, the simple existence
of such families which is nothing less than unexpected
does not automatically signify that they are a norm, and in my view
there is nothing whatsoever that suggests that they are. I can assure
Bunnell that if he had occasion to spend time teaching Berkeley's
African American undergraduates, he would be hard put to characterize
any but a fraction of them "working class" in any sense of the term.
The very fact that Bunnell is so quick to designate as a norm
what is more likely a subsidiary lag is telling. Never have I heard
anyone even consider it germane to specify how prevalent this income/class
discrepancy might be; instead, the simple fact that such families
exist is automatically taken to mean that this is the typical situation.
The very sorts of thinking people who decry the public's tendency
to conceive of the black fraction of the welfare caseload as its
totality have, on the other hand, no problem treating this income/class
discrepancy as the lay of the land.
Bunnell's perspective is understandable in its way, demonstrating
how difficult it is for us to shake the habit of associating "blackness"
with lower-income culture. The problem is that this tendency is
now the source of the latest roadblock Affirmative Action fans have
begun to throw in the path of constructive engagement with the issue.
My mother worked two jobs at a time (social work professor and
child psychologist); my father worked as well (public university
administrator). In no sense of the term were we "working class"
people; on the contrary, my parents were paradigm examples of the
modern middle class family struggling with overextended credit cards
and extra jobs to make ends meet. My parents were not atypical among
black couples of their generation. Both grew up working class, and
were beneficiaries of desegregation, earning their degrees in the
1970s while raising children. Nor, as one might object, were their
jobs ritzier than most of today's Berkeley undergrads' parents'.
Ask any number of black Berkeley undergrads what their parents do,
and you will hear precious few say that their parents drive buses
or work part-time at UPS.
Finally, even if in the aggregate one might suppose that black
middle class families lean closer to the working class cultural
band than whites, this would not suffice as an explanation for the
lag in black/white scholarly performance. For example, even low-income
Asians score much better than blacks on average on tests and also
make higher grades, and yet many of their parents are uneducated
and work two jobs at a time, there are few books in their homes,
etc.
What, then, makes us so naturally perceive these problems as crippling
in black homes as opposed to Asian ones? "Well, Asian culture values
scholarly achievement more than black culture" would be almost anyone's
answer. Which is precisely my answer. Black students do not lag
behind because of working class cultural echoes. They lag behind
because of ingrained aspects of the culture which transcend class
and reach even into the ritziest households which no one could begin
to call "working class" on any level.
Most dismaying, though, is Bunnell's conviction that my opinion
should not even be heard. Let us recall: I favor Affirmative Action
in the business realm, and would even support it in university admissions
if based on class and yet my essay is a mere "diatribe" written
by someone with their "head in the sand". The serene conviction
among Affirmative Action advocates that opposing opinions deserve
no more of an airing than a speech by Adolf Hitler stems from a
sense that all forms of Affirmative Action except perhaps
the most glaringly inefficacious misapplications are as morally
unassailable and celestially anointed as feeding the hungry. Clearly,
however, the mounting body of sober objections indicates at the
very least that some issues are up for debate.
The insistence among many that they are not and what is
frightening is that I believe that this conviction is genuine, not
a mere strategical ploy as Shelby Steele argues in his latest book
is precisely what prevents so many "discussions" of Affirmative
Action from being anything but disguised pep rallies for the old
status quo. John Hope Franklin's casual rejection of Ward Connerly
and the Thernstroms from the "national debate" on race, and members
of the African-American National Bar Association's recent attempt
to bar Clarence Thomas from speaking before them, are further examples
of how on this topic, people who consider themselves more open-minded
than those they would designate "conservative" have become as reflexively
resistant to even civil dialogue as the Jesse Helmses most of us
are so secure in dismissing.
In reference to Daniel Dennett's comment, I have not meant to
imply that there is no respect for education in the black community.
However, while most African-Americans would certainly praise education
on the overt level, there is an underlying ambivalence towards the
black "braniac", the sense being that too hearty an embrace of book
knowledge tends to draw a person away from identification with "black"
concerns. To be fair, it often does but the fact remains
that this ambivalence profoundly affects black students' school
performance most importantly, on all class levels, not just
in ghettos.
An illustration: As a graduate student, I once gave a report on
the verb "to be" in Swahili. Some months later, a fellow black graduate
student told me that the zeal with which I had approached the subject
had made them wonder whether I was "a brother" or not. In other
words, even for this graduate student in my own department, my commitment
to knowledge for knowledge's sake as opposed to their study
of Black English was suspicious. Yet this type of sentiment
is so typical that at the time it barely threw me; it is part of
the warp and woof of growing up African-American. Any black kid
on ANY class level is suckled on this attitude from
birth. Only later have I come to reconceive this as having been
a demonstration of a grave cultural problem.
This tendency continues even among tenured university professors.
When the Oakland school board declared that black children were
to be taught standard English via translation from their "native
language" Ebonics, when consulted by the media I argued that Oakland
was on the wrong track. I brought various data to bear, such as
showing that children worldwide learn standard dialects in school
without translation when their home dialects are so different from
the standard as to be practically a different tongue; that Black
English is not in any sense an "African" language; and even that
over the years a great many studies have shown that the "Ebonics"
method of teaching black children does not work.
Unfortunately, I found myself alone here. The sister currents
of victimology and separatism led black linguists and educators
to stand behind Oakland's decision almost to a man. Few of my observations
were unknown to them, but my choosing to say these things rather
than politely skirting over them in favor of a vague "support for
addressing the needs of African-American children" was nevertheless
considered a breach of racial solidarity. To this day several are
distinctly cool in their relations towards me, with the guru of
the "Ebonics" approach even having sent me a string of invective-laced
hate mail. The crucial thing here was this: barely any of my critics
has ever even considered it germane to address my reasoning itself,
and never in anything approaching detail. The message is painfully
clear whatever its validity, the primary value of knowledge
is its usefulness in The Struggle, to the extent that even distorted
knowledge is permissible; otherwise, it is of marginal concern.
Thus few blacks would overtly condemn education, but underlying
this formal support is a sense that books for books' sake is essentially
for whitey. My Black Musical Theatre history class at Berkeley has
been a kind of laboratory test of this. The first time I taught
it most of the students were white, the next time, almost all black.
I could count on the black students' ears to perk up when I discussed
racism and segregation in the industry. However, when it came to
things such as what decade (not even year) a musical appeared in
or who the principal performer was, whereas most of the white students
delighted in this sort of thing as interesting "lore", for most
of the black students it was clear that the very same lectures I
had given the white students might as well have been pages from
the Pittsburgh phone book. A few of them even casually expressed
surprise and dismay that I expected them to know such things for
the midterm.
I don't mean to sound dismissive of these students; the appearance
of such may be part of what arouses Bunnell's response. Although
I openly admit that my patience wears thinner with tenured colleagues,
on the individual, social level the students tend to be my favorites.
However, I at the same time see that they are almost all under the
sway of an understandable but pernicious culturally-based holding
pattern, whose depth I can only get across with unvarnished descriptions.
My main intention is to explore what we can do about this. My ideal
would be for this tendency to decrease with the generations to come,
rather than increase, as I fear the current sociopolitical climate
is ensuring. -
JOHN H. MCWHORTER, Assistant Professor of Linguistics at the University
of California at Berkeley, is the author of The Word on the Street.
Catherine Bateson, George Dyson, Douglas Rushkoff, and Duncan Steel
on Stewart Brand's "The Clock of the Long Now"
From: Catherine Bateson
Submitted: 8.26.98
Since I first started hearing about the Y2K problem I have been
wondering whether it offered an opportunity to get beyond some of
the ethnocentricity in our ways of reckoning time. Like Danny Hillis,
I had thought of the approximate date of the neolithic revolution
10K years ago as more meaningful, though it is still a local phenomenon
and of course cannot be identified with precision. Because knowledge
of the past get fuzzy as you go back more than a few thousand years,
it makes sense to have a minus calculation. But that leaves us supporting
a cosmology in which the (approximate) birthdate of Jesus is the
center of everything. Some of that is masked by the convention of
referring to dates as C.E. (Common Era) or B.C.E. which is at least
an improvement in courtesy. A system beginning 10K years ago would
scoop up the Jewish creation date and the Shah's date for the Persian
monarchy but are there other beginning dates in circulation?
Check out India and China.
The use of five digits in Danny's system would borrow the specificity
and familiarity of the C.E. dating but at least eliminate the notion
of that as the beginning of everything.
But...why is this project being double locked into parochialism
by location? Surely the actual clock should not be built in either
in the US (or in Greenwich) but, say, in 3 different locations on
the planet (or maybe 2, to organize around hemispheres Australia
has lots of desert.) Three is a sacred number in many traditions
beside the western one, all the integers have a certain sacrality,
2 is surely the sacred number of the computer age!) Disney is greatly
interested in becoming more universal, but any imagery that claims
to unite the world cannot be centered in the Sonoran desert!
Or perhaps the planning for multiple sites should address climate
change as well as urbanization, with more than one scenario taken
into account, drastic cooling and drastic warming. Will Epcot be
submerged? In a new Ice Age one would not want one's fancy technology
to be in the path of a glacier! Archeological time is often vertical.
Think of esperanto invented as a universal language, it
is in fact a composite of European languages. Time to do better.
MARY CATHERINE BATESON is Clarence Robinson Professor of Anthropology
and English at George Mason University; author of With a Daughter's
Eye; Our Own Metaphor; Angels Fear (written with Gregory Bateson),
Composing A Life; Peripheral Visions: Learning Along The Way.
From: George Dyson
Submitted: 8.18.98
When I pick up the morning paper and read that gigahertz processors
are slated for the production line, I'm left a bit nervous for the
remainder of the day. But I sleep better at night, knowing that
Danny Hillis and Stewart Brand are pushing our clock cycles 20 orders
of magnitude the other way.
In early 1680, Robert Hooke (physicist, clock-maker, and imagineer,
much like Danny Hillis but with a bad temper) introduced the idea
of the "Sensible Moment," in his "Hypothetical Explication of Memory;
how the Organs made use of by the Mind in its Operation may be Mechanically
understood": "And I do not at all doubt but that the sensible Moments
of Creatures are somewhat proportion'd to their Bulk, and that the
less a Creature is, the shorter are its sensible Moments; and that
a Creature that is a hundred times less than a Man, may distinguish
a hundred Moments in the time that a Man distinguishes one... So
that many of those Creatures that seem to be very short lived in
respect to Man, may yet rationally enough be supposed to have lived,
and been sensible of and distinguished as many Moments of time(and)
as many distinct Differences of Moments, as a Man hath in the Age
he lives."
High-speed memory and high-speed processing have produced astonishing
results by dividing time into increments of microsecond and now
nanosecond scale. Equally important, if less measurable, is the
extension of our Sensible Moment, through mechanical intelligence
of one form or another, towards the Long Now that Danny's clock
epitomizes so well.
GEORGE DYSON is the leading authority in the field of Russian
Aleut kayaks, he has been a subject of the PBS television show Scientific
American Frontiers. He is the author of Baidarka, and
Darwin Among The Machines:The Evolution Of Global Intelligence.
From: Douglas Rushkoff
Submitted: 8.22.98
It wasn't until Stewart described the Clock project to me that
I understood what the last thirty or so years of his work was about.
From demanding a photo of the earth to publicizing the Pranksters,
founding the well or scenario planning it's less about results
and agendas than teaching people to "suppose." The trick is changing
perspective, which in most cases seems to mean pulling back, or
zooming out.
Oddly, for our obsession-driven culture, learning to go macro
in time, space, communications is precisely the kind
of therapy we need. When a society can spend a year or more avidly
deconstructing the minute details of a president's penile activities
(I refuse to call what he does sex) it is a fair indication of our
ability to hone in. Our shock and confusion about the nature of
the terrorist attacks against our embassies and Clinton's military
response show just how distracted we have been by the details, and
how utterly unprepared we are to consider the big picture (in this
case, the symbolic war against US targets who, like cell phone owners,
can be tagged and found wherever they might roam regardless of territory.)
And finally, like a Christo wrapping, it's less important whether
any of these projects actually happen (though the Grateful Dead
*did* finally show up as promised by the Pranksters) than that they
be considered. The main reason to implement them is so that the
thought experiment can be experienced by those who are not in a
position to "get it" by reading The EDGE.
DOUGLAS RUSHKOFF is the author of Cyberia, Media Virus, Children
of Chaos, Ecstasy Club and the upcoming Coercion: Why We
Listen to What "They" Say.
From: Duncan Steel
Submitted: 8.22.98
Problems for the 10,000 year clock
I liked the concept for the 10,000 year clock, but it's a concept
which does not seem realizeable. There are several insurmountable
problems if the intention is to let it tick away on its own into
the future, unless one accepts gross inaccuracies occurring. Let
me give an example. Stewart Brand said:
"Danny wanted to make an instrument that was not participating
in those rapid exponential curves of population and technology growth
and megabytes per dollar and so on, but something that just plugs
along at the same pace as seasons - spring, summer, fall, winter,
spring, summer, fall, winter it's the same 10000 years from now
probably as 10000 years ago."
Well, no, that last clause is incorrect.
Let me start by asking "What is the pace of the seasons?" At school
you've all learnt that the seasons depend mainly on the tilt of
the Earth's spin axis, and the time taken to come back to the same
orientation is a little less than 365.25 days, and that's the reason
for the leap year cycle (leap year every fourth year except in those
divisible by 100 but not by 400: AD 2000 is a leap year, but 1800,
1900 were not). This period (a little under 365.25 days) is called
the tropical year, and I will not bore you with technicalities on
its definition here (although see below). Unfortunately a recent
analysis of temperature records stretching back over 300 years (see
David Thompson's paper in SCIENCE, April 1995) has shown that the
cyclicity/pace of the seasons in the present epoch (over that period
from the 17th century to now) is not the tropical year at all, but
the anomalistic year (the time between perihelion passages of the
Earth), which is actually a little LONGER than 365.25 days. Thus
one could claim that instead of LOSING leap year days from 1800
or 1900 or 2100 we actually need to maintain them. Indeed to fit
against the anomalistic year one needs every fourth year being a
leap year PLUS an additional day every century, which one could
accommodate by making every '00 year a super leap year with 367
days (a January Zero to recover?). This would only be a temporary
need, however, I would anticipate: I would interpret Thompson's
result as being due to the fact that perihelion currently occurs
in early January, close to the winter solstice (December 21), and
whilst this phasal relationship has occurred it happens that the
Earth's gross climate has latched onto the anomalistic rather than
the tropical year as its fundamental periodicity. But the date of
perihelion moves by about one day every 70 years due to precession,
with the result that within a few centuries, or maybe a millennium,
the dates of perihelion passage and the solstice will have separated
sufficiently such that the climate cyclicity will change to the
tropical year.
In the above context, one asks: what is the year length that is
going to be used for this 10,000 year clock, then?
But it gets more complicated. If one looks at the official publications
of the US and UK governments (per the US Naval Observatory and the
Royal Greenwich Observatory: e.g., the Explanatory Supplement to
the Astronomical Almanac, revised 1992) regarding timekeeping, one
will find that the (mean) tropical year is incorrectly defined,
and thus misleading. From the aspect of the calendar, however, the
mean tropical year is irrelevant. The US and the UK use a calendar
which happens to coincide with the Gregorian calendar (I would argue
as to whether it is IDENTICAL with the GC because the definition,
in Lord Chesterfield's Act of 1751, does not mention the GC although
it defines leap years in the same way; a specific difference is
that the Easter computus is not the same algorithm as that used
by the Catholic Church although it leads to the same result). But
the aim of the Gregorian Calendar was to keep the Vernal Equinox
on about the same date, so as to regularize the Easter computus.
The appropriate year length to use is therefore the time between
Vernal Equinoxes and this is NOT the same as the mean tropical year,
which might be thought of as being the long-term average of the
four distinct years resulting from considerations of the times between
vernal equinoxes, autumnal equinoxes, summer solstices, and winter
solstices. These are all different, and varying due to the precession
of the Earth's non-circular orbit. If you are interested in setting
up a 10,000 year clock, the changes are going to be very significant
indeed, and not predictable due to various things (lunar and planetary
perturbations, for example).
In all of the above I have talked about year lengths in 'days'.
In fact our fundamental unit of time is the second, which is now
defined using atomic clocks, and referred to the day length at the
start of the year 1900. Actually our days are getting longer due
to tidal drag, and that is why leap seconds need to be inserted
into some years (one to be inserted at the end of December 31st
this year was gazetted just a couple of days ago). Over a period
of centuries or millennia this slow-down of the Earth's spin is
very significant: some hours over a couple of thousand years. For
example, we have records of solar eclipses seen from (say) Athens
or Rome in the first millennium BC which would have produced ground
tracks thousands of kilometres away if the Earth had a constant
spin rate. One cannot say what the change in the spin rate (and
orientation) of our planet will be in the future, because there
is an erratic component superimposed on the overall trend. There
are seasonal changes, and others due to vagaries of the climate
(which changes the angular momentum of the atmosphere). Certainly
over 10,000 years one expects an accumulated spin deficit of order
a day, but one cannot predict it to better than a few hours.
All of the above matters I discuss in much more detail in my forthcoming
book MARKING TIME (Wiley, 1999).
I recognize that IN PRINCIPLE one could set up a self-correcting
clock to accommodate corrections necessitated by the above considerations
(and there are others). Stewart Brand mentioned the possibility
of the clock observing the Sun every so often so as to correct itself,
but it would also need to make observations of the moon and stars.
Indeed our best knowledge on the variation in the rate and orientation
of the terrestrial spin comes from Very-Long Baseline (radio) Interferometry
using distant quasars. I would think that even Charles Babbage would
have doubts as to whether one could accomplish such things with
a purely mechanical system.
Duncan Steel
DUNCAN STEEL, research astronomer at the Anglo-Australian Observatory
and a research fellow at the University of Adelaide, Australia,
is the author of Rogue Asteroids and Doomsday Comets.
SULLOWAY CITATIONS AND NOTES
BIRTH ORDER AND THE NURTURE MISASSUMPTION: A REPLY TO JUDITH
HARRISBy Frank Sulloway
LITERATURE CITED
Blanchard, Ray. Birth order and sibling sex ratio in homosexual
versus heterosexual males and females. Annual Review of Sex Research,
8:27-67.
Costa, Paul T., Jr., and McCrae, Robert R. 1992. NEO PI-R Professional
Manual. Odessa, FL: Psychological Assessment Resources.
Ernst, CÇcile, and Jules Angst. 1983. Birth Order:
Its Influence on Personality. Berlin and New York: Springer-Verlag.
Harris, Judith Rich. 1995. Where is the child's environment? A
group socialization theory of development. Psychological Review,
102:458-89.
Harris, Judith Rich. 1998. The Nurture Assumption: Why Children
Turn Out the Way They Do. New York: Free Press.
Loehlin, John C. 1997. A test of J. R. Harris's theory of peer
influences on personality. Journal of Personality and Social Psychology,
72:1197-1201.
Modell, John. 1996. Family niche and intellectual bent. Review
of Born to Rebel, by Frank J. Sulloway. Science, 275:624.
Rosenthal, Robert. 1987. Judgment Studies: Design, Analysis, and
Meta-analysis. Cambridge: Cambridge University Press.
Salmon, Catherine A. 1998. The evocative nature of kin terminology
in political rhetoric. Politics and the Life Sciences, 17:51-57.
Salmon, Catherine A. In press. On the impact of sex and birth
order on contact with kin. Human Nature.
Salmon, Catherine A., and Daly, Martin. 1998. Birth order and
familial sentiment: Middleborns are different. Human Behavior and
Evolution, 19:299-312.
Sulloway, Frank J. 1995. Birth order and evolutionary psychology:
A meta-analytic overview. Psychological Inquiry, 6, 75-80.
Sulloway, Frank J. 1996. Born to Rebel: Birth Order, Family
Dynamics, and Creative Lives. New York: Pantheon; Vintage,
1997.
Sulloway, Frank J. In press. Birth order, sibling competition,
and human behavior. In Paul S. Davies and Harmon R. Holcomb III,
eds., The Evolution of Minds: Psychological and Philosophical Perspectives.
Dordrecht and Boston: Kluwer Academic Publishers.
NOTES
1. An important exception to this statement involves research
on homosexuality, where birth order has been implicated in the build-up
of antibodies to one of the minor histocompatibility antigens (Blanchard
1997). This apparent biological source of birth-order affects in
psychosexual behavior applies only to a small portion of the population
and appears to have no measurable influence on normal individuals.
2. I do not bother to address here Harris's claim that birth-order
effects are less frequent in large studies because she bases this
argument on data that are contaminated with errors.
3. Of course, it is inconsistent for Harris to code her results
in terms of "studies" purportedly to eliminate multiple findings
that are not statistically independent--and then to fall back on
the claim that these results cannot be tested statistically because
they contain findings that are not statistically independent. It
is also relevant to compare Harris's meta-analytic findings regarding
Ernst and Angst's (1983) list of studies with her erroneous statement,
in her 1995 article: "When the proper controls were used, no birth-order
effects were found on personality" (p. 461). By Harris's own count,
49 significant confirming results are to be found in her own total
of 179 controlled studies compiled from Ernst and Angst's tables,
or more than ten times the rate of confirming results expected by
chance.
4. Ways of resolving the file-drawer problem have attracted considerable
discussion by statisticians, but Harris, having planted her seeds
of doubt on this topic, chooses to pass over this literature. For
example, Robert Rosenthal (1987) has suggested a "rough and ready
guide" for determining whether a given number of significant findings
in the published literature would be invalidated by unpublished
null findings in file drawers. This test involves calculating the
number of null findings that would have to exist in file drawers
in order to cause the number of significant published findings to
no longer exceed chance expectations. This number is 19S-N, where
S is the number of significant findings and N is the number of nonsignificant
findings. Specifically, Rosenthal's formula requires the existence
of 1,244 null findings from controlled birth-order studies to invalidate
the results in my own meta-analysis. Rosenthal considers a meta-analysis
as passing the file-drawer test if the number of null findings needed
for refutation is more than 5 times the total number of findings,
plus 10 (in this case, 990 findings). In short, by Rosenthal's guide,
these meta-analytic counts pass the file-drawer test. This form
of the file-drawer test is considerably less powerful than one based
on effect sizes. A conservative version of this alternative test
involves estimating effect sizes based on p-values and setting z
(the effect size for each finding), to 1.645 for all results that
are significant at p<.05, and to 0 for all nonsignificant results.
Based on this method, the number of null findings that are required
to exist in file drawers in order to invalidate the significant
meta-analytic totals in my own survey is 3,171, or 16 times the
number of published findings. For Harris's totals, the required
number of null findings in file drawers is 1,339, or 7.5 times the
number of published findings. In actuality, the number of null findings
that would be required to invalidate these results is considerably
greater than either of these two conservative estimates.
5. Although self-report studies manifest more significant birth-order
differences than would be expected by chance, many of these studies
even large ones report small and nonsignificant effects.
Judith Harris likes to cite Jules Angst's large birth-order study
involving 7,582 college-age Swiss subjects, which found only one
significant difference among the 12 scales he and his colleagues
employed. These admittedly modest results are probably explained
by the use of unanchored scales, the omission of the most relevant
scales (for example, those related to conscientiousness), and problems
with scale heterogeneity (that is, combining traits such as dominance
and sociability when measuring general attributes such as extraversion--see
Sulloway, in press). It is noteworthy that when these Swiss investigators
sampled specific behaviors among their subjects, they obtained strikingly
different results from those based on their self-report personality
test. For example, laterborns were significantly more likely than
firstborns to admit having experimented with drugs, including tobacco,
alcohol, marijuana, tranquilizers, and hypnotics. In addition, firstborns
were significantly more likely than laterborns to discuss their
problems with their parents. Harris fails to cite these significant
findings.
6. Firstborns and laterborns differed significantly on each of
the six votes within the Convention; on the decision to sign, or
not to sign, the protest petition; and on the composite scale for
tough-mindedness.
7. Firstborn and laterborn scientists differed significantly on
all five measures, which are similar, moreover, to measures of openness
to experience employed on standard personality tests, such as the
NEO PI-R (Costa and McCrae 1992).
8. These birth-order effects explain 4.2 percent of the variance
in personality, after being controlled for age, sex, sibship size,
and social class. This degree of influence is equivalent to a medicine
that would increase one's chances of surviving a deadly disease
from 40 percent to 60 percent, or a 50 percent increase over the
base rate. It is worth noting that the shared family environment,
which explains about 5 percent of the variance in personality, involves
an even larger contribution to personality. Harris, who does not
properly explain to her readers the real-world meaning of such modest
"effect sizes," repeatedly describes the influence of the shared
family environment as negligible, as with the following statement:
"The data [from behavioral genetic studies] showed that growing
up in the same home, being reared by the same parents, had little
or no effect on the adult personalities of siblings. Reared-together
siblings are alike in personality only to the degree that they are
alike genetically" (1998:37). Added together, these two sources
of environmentally explained variance (stemming from parents and
siblings) total more than 9 percent, which is nearly a quarter of
the entire amount of variance (40 percent) that is actually available
for explanation. Based on these data alone, one could write a persuasive
book about the influence of the family on personality, and these
data are not even the whole story, because they do not include other
within-family influences. In particular, parents have a much greater
influence on the social attitudes and values of their offspring
than they do on personality.
In a recent test of Harris's group socialization theory, Loehlin
(1997) found that shared peer groups among late-adolescent twins
explained only 2.6 percent of the variance in personality, whereas
Harris's theory demands that it account for the bulk of the variance
that is available for explanation (about 35 percent). Loehlin's
study also demonstrated a role for parental treatment on personality,
which, in his study, explained about 1 percent of the variance.
Although Loehlin was not able to test for the role of shared peer
groups in early and middle childhood, his findings can be extrapolated
from another of his measures and are not particularly encouraging
for Harris's theory. In short, peer groups seem to matter (certainly
a reasonable proposition), but they do not appear to provide anything
like the whole story about environmental influences, as Harris would
have us believe.
9. The correlation between the two relevant sets of effects sizes
(for siblings and spouses) is .73 (N=30 traits, p<.001).
10. The consistency of birth-order effects among roommates, compared
with those found by direct sibling comparisons, is given by the
correlation between these two sets of effect sizes--namely, .87
(N=25 traits, p<.001). With peer ratings, birth-order effects in
my study are also statistically significant, although they are smaller
than those effects observed among siblings, spouses, and roommates.
This is to be expected because the reliability of peer ratings is
substantially lower than for spouses and siblings (and presumably
for roommates), thus attenuating correlations with birth order.
11. In addition to their findings about middle children, Salmon
and Daly (1998) have also replicated my findings about birth order
and attitudes toward radical change. They asked 100 middle-aged
Canadian subjects, "Do you think that you are open to new and radical
ideas (such as cold fusion)?" Of the firstborn respondents, 47 percent
answered "yes" to this question, whereas 86 percent of the middle
children answered in the affirmative, and 89 percent of the lastborns
did so (partial r=.38, p<.001, controlled for age, sex, and sibship
size).