2011-06-20

Fusion research

Research into fusion power, or fusion research for short,
is a subject at the junction of science, technology, economics, and politics.

Fusion power offers vast potential to solve critical world problems,
most notably,
  • global warming and
  • dependence on rapidly vanishing fossil fuel reserves
(this latter entails a national security issue,
as most of the world’s reserves of fossil fuels
are not located in the United States).
For more information,
visit the U.S. Fusion Energy Science Program or Fusion Power Associates.

Considering the great benefits, to the nation and to the world,
from developing an economic way to obtain power from fusion,
it is surprising that the United States spends so little
on research into fusion power
(see, e.g., this One Pager, or for more, scroll down to Budget here,
or see the historical data here);
we are talking from $.3G to $.5G per year
(G = giga = billion = 109, so, to illustrate,
$.5G = $500M = $500,000K = $500,000,000),
which seems paltry considering the potential benefits.

The question, to me, is:
How much money can the scientific and technological community
productively absorb to advance this research?

Evidence is that it can absorb considerably more than it is now getting,
but how much more?
To answer this question, it seems to me the best approach would be
to ask the National Academy of Sciences to appoint a panel
to investigate precisely that question.
The panel would report back to Congress and the executive,
which would then make available the funding level
that offered the optimal combination
of achieving progress while avoiding undue risk.

A reasonable starting point for such a panel would be
the National Research Council’s 2001 report
“An Assessment of the Department of Energy’s
Office of Fusion Energy Sciences Program”
;
for the book in HTML, click here;
for more on the web, click here.
That report made seven specific, concrete, recommendations,
listed in its Executive Summary.
Note that its seventh recommendation was:
Recommendation 7.
There should be continuing broad assessments
of the outlook for fusion energy and
periodic external reviews of fusion energy science.
Have those contining broad assessments have been done?
Maybe so, but I don't know (yet).

In any case, questions I would like to be asked now are:
  1. Are those recommendations still valid, five years later?
    (Probably more crucially:)
  2. Have those recommendations received
    an adequate and desirable level of financial support?
    (One would suspect, just based on general knowledge,
    the answer is almost surely “No.”)
  3. What additional initiatives are desirable now, starting in 2006?











Miscellaneous Comments


2008-12-02-Friedman

The well-known NYT columnist Thomas Friedman’s latest book is titled
Hot, Flat, and Crowded.
Tonight he gave a talk summarizing the book.
He gave a list of (five) major problems that he considered humanity to be facing,
and, as I understood it, stated rather emphatically that they could all be solved, or at least greatly mitigated,
if someone could come up with a cheap, clean way of producing electrons,
by which I presume he meant a cheap, clean source of power.
(I’m sure the book would clarify this, but frankly I haven’t read the book.)

He left the talk before I could ask him a question that I thought relevant
to both his concerns and the subject of this post.
Let me phrase the question here,
together with a bit of context-setting preamble,
and perhaps someone reading this can bring it to his,
or someone else’s, attention.
Here goes:



Most people, when they establish a budget,
make a distinction between what is essential and what is “nice to have”.
Well, if one believes what he said in his talk,
coming up with a cheap, clean source of power
is absolutely essential to
the long-range continuation of anything resembling
the standard of living much of the world has become accustomed to
in the last few centuries.
On the other hand, so far as I can tell,
most medical research falls under the “nice to have” category.
If the world fails to cure cancer, heart disease,
or any other of the medical problems
that have afflicted the world for lo these many millennia,
we (the human race) won’t be in worse shape,
rather in just the same shape.
But again, to repeat myself,
if we fail to come up with reductions in hydrocarbon pollution
and a replacement for fossil fuels,
we will be in drastically worse shape.

If you believe all that, or at least a reasonable fraction of that,
then the question is:

Why does the U.S. government spend
on the order of $30 billion a year on medical research,
and only a few hundred million dollars per annum
on research into fusion power?






2009-05-26-NYT-Broad-NIF
In Hot Pursuit of Fusion (or Folly)
By WILLIAM J. BROAD
New York Times Science Times, 2009-05-26

LIVERMORE, Calif. —

[1]
Here in a dry California valley, outside a small town, a cathedral of light is to be dedicated on Friday. Like the cathedrals of antiquity, it is built on an unrivaled scale with unmatched technology, and it embodies a scientific doctrine that, if confirmed, might lift civilization to new heights.

[2]
“Bringing Star Power to Earth” reads a giant banner that was recently unfurled across a building the size of a football stadium.

[3]
The $3.5 billion site is known as the National Ignition Facility, or NIF. For more than half a century, physicists have dreamed of creating tiny stars that would inaugurate an era of bold science and cheap energy, and NIF is meant to kindle that blaze.

[4]
In theory, the facility’s 192 lasers — made of nearly 60 miles of mirrors and fiber optics, crystals and light amplifiers — will fire as one to pulverize a fleck of hydrogen fuel smaller than a match head. Compressed and heated to temperatures hotter than those of the core of a star, the hydrogen atoms will fuse into helium, releasing bursts of thermonuclear energy.

[5]
The project’s director, Ed Moses, said that getting to the cusp of ignition (defined as the successful achievement of fusion) had taken some 7,000 workers and 3,000 contractors a dozen years, their labors creating a precision colossus of millions of parts and 60,000 points of control, 30 times as many as on the space shuttle.

[6]
“It’s the cathedral story,” Dr. Moses said during a tour. “We put together the best physicists, the best engineers, the best of industry and academia. It’s not often you get that opportunity and pull it off.”

[7]
In February, NIF fired its 192 beams into its target chamber for the first time, and it now has the world’s most powerful laser, as well as the largest optical instrument ever built. But raising its energies still further to the point of ignition could take a year or more of experimentation and might, officials concede, prove daunting and perhaps impossible.

[8]
For that reason, skeptics dismiss NIF as a colossal delusion that is squandering precious resources at a time of economic hardship. Just operating it, officials grant, will cost $140 million a year. Some doubters ridicule it as the National Almost Ignition Facility, or NAIF.

[9]
Even friends of the effort are cautious. “They’ve made progress,” said Roy Schwitters, a University of Texas physicist who leads a federal panel that recently assessed NIF’s prospects. “Ignition may eventually be possible. But there’s still much to learn.”

[10]
Dr. Moses, while offering no guarantees, argued that any great endeavor involved risks and that the gamble was worth it because of the potential rewards.

[11]
He said that NIF, if successful, would help keep the nation’s nuclear arms reliable without underground testing, would reveal the hidden life of stars and would prepare the way for radically new kinds of power plants.

[12]
“If fusion energy works,” he said, “you’ll have, for all intents and purposes, a limitless supply of carbon-free energy that’s not geopolitically sensitive. What more would you want? It’s a game changer.”

...

[In my opinion, this project, and other projects seeking ways to harness fusion,
are a hell of a lot more worthwhile than
the far more expensive and extensive research
that the federal government funds into medicine.
The medical research budget should be slashed,
with the savings going into fusion and other energy research,
or just reducing the deficit.

As to why cancer research gets so much spent on it, see here.]

















2010


2010-09-28-NYT-Mascheroni-laser-fusion
Zeal for Dream Drove Scientist in Secrets Case
By WILLIAM J. BROAD
New York Times, 2010-09-28

...

In 1988, after nine years at the weapons lab, he left and embarked on a personal crusade to achieve what had eluded thousands of other scientists: a controlled version of nuclear fusion, the violent process that powers the Sun, the stars and hydrogen bombs. His proposal — the use of a big laser — was considered among the most futuristic of the alternatives on the table.

Skeptical of federal plans for laser fusion, he promoted his own as cheaper, faster and far more likely to succeed. Its wavelength was much longer, and its blasts of concentrated light far easier to achieve. He dismissed resistance to his plan as an overzealous commitment to the status quo.

“It’s a cultural thing,” he told The New York Times in 1988. “They don’t want to admit something different.”

He won guarded approval. A Los Alamos panel led by Gregory H. Canavan, a respected senior scientist, found Dr. Mascheroni’s idea worth exploring. The main attraction, the panel said, was that his laser system might prove to be as little as one-twentieth the cost of its rivals.

“It’s very important for our country to have this option for the future,” Dr. Mascheroni said in a 1989 interview. “The other approaches are not going to work.”

After leaving the weapons lab, Dr. Mascheroni toiled on his pet project without pay, relying on his wife to provide most of the family’s income. Her jobs at Los Alamos included technical writing and editing.

Dr. Mascheroni, meanwhile, persistently lobbied the Capitol for his laser plan. In 2003, for example, he wrote to Senator John McCain, Republican of Arizona, who had just become chairman of the Senate Commerce Committee. The letter was 319 pages long, and Dr. Mascheroni sent copies to relevant experts outside of Congress.

Despite his rebel status and impolitic ways, he was often taken seriously. He won the backing of a former Central Intelligence Agency director, R. James Woolsey, who helped him promote his vision. Ultimately, however, the nation chose a more elaborate laser path.

...

As Dr. Mascheroni sits in a halfway house in Albuquerque awaiting trial, the rival laser that he criticized for so many years now looms over a small California town. The size of a football stadium, the $3.5 billion site is known as the National Ignition Facility. It is the world’s most powerful assemblage of lasers, their concentrated light like a tiny star. The 192 lasers fire in unison on flecks of hydrogen fuel smaller than a match head.

...

[This illustrates exactly the problem I suspected above.
There are indeed other reasonable approaches to achieving fusion power which have not been pursued, not because they are judged infeasible, but simply because there is not adequate funding.
Surely, as important as energy is for our nation’s and people’s future, funds could have been found (in my preference, diverted from medical research) to fund this alternative approach.]

















2014-02-12-WP-fusion-energy-milestone-reported-by-california-scientists
Fusion energy milestone reported by California scientists
By Joel Achenbach
Washington Post, 2014-02-12

Scientists are creeping closer to their goal of creating a controlled fusion-energy reaction, by mimicking the interior of the sun inside the hardware of a laboratory.
In the latest incremental advance, reported Wednesday online in the journal Nature, scientists in California used 192 lasers to compress a pellet of fuel and generate a reaction in which more energy came out of the fuel core than went into it.

There’s still a long way to go before anyone has a functioning fusion reactor, something physicists have dreamed of since Albert Einstein was alive. A fusion reactor would run on a common form of hydrogen found in seawater, would emit minimal nuclear waste and couldn’t have the kind of meltdown that can occur in a traditional nuclear-fission reactor.

...

Stewart Prager, director of the Princeton laboratory, applauded the new results reported in Nature by the California team, saying, “It’s the first sign that they’re getting what we call self-heating.”

He’s optimistic about fusion energy in the long run.

“In 30 years, we’ll have electricity on the grid produced by fusion energy — absolutely,” Prager said. “I think the open questions now are how complicated a system will it be, how expensive it will be, how economically attractive it will be.”

The short-term problem is funding.
Congress appropriated about $500 million for fusion energy science in the 2014 budget,
a boost of more than $100 million from the tight budgets of the previous two years,
but fusion advocates want more.

Rep. Rush D. Holt (D-N.J.), a physicist who spent 10 years working at the Princeton lab, said Wednesday that the United States is losing leadership in fusion energy research to Europe, Japan, South Korea and China.

“It’s nowhere close to making your electric meter run backwards,” Holt said of fusion energy. “But the reason other countries are now investing more than we are — this is a sad story in itself — is that the country that was the world’s leader in fusion research is no longer.”

[There is no clearer place where the nation's priorities are askew than here.
$30 billion for health care research and only $500 million for fusion research?
With the problems global warming is forecast to produce?
Talk about the wrong priorities!]

Labels: , , ,

2005-02-08

Intelligence

1994


1994-10-16-NYT-Herrnstein-Murray-Rushton-Itzkoff
What Is Intelligence, and Who Has It?
By Malcolm W. Browne
New York Times Book Review, 1994-10-16




[Emphasis is added.]

[1.1]
ONE may loathe or share the opinions expressed
in the three books under review,
but one thing seems clear:
The government or society
that persists in sweeping their subject matter under the rug
will do so at its peril.

[1.2]
The issues raised by the scholars who wrote these books
bear intimately on America’s near future:
its quality of life,
its citizens’ sense of belonging,
its economic survival and
the very foundations of a democratic society.
They believe that

America is rapidly evolving a huge underclass,
an intellectually deprived population

of men and women whose cognitive abilities
will never match the future needs of most employers
and for whom American society seems to have less use each year.

The prisoners of this new underclass, the authors fear,
may be permanently doomed by their intellectual shortcomings to
welfare dependency, poverty, crime and
lives shorn of any hope of realizing the American dream.

[1.3]
The numbers are far from encouraging.
Indicators of national intelligence in the United States
have declined compared with
similar measurements of intelligence in other countries.
The demographer Daniel R. Vining Jr. has calculated that
America’s I.Q. scores have fallen about five points
since intelligence tests first came into use at the beginning of this century,
and the College Entrance Examination Board says that
scores for the Scholastic Aptitude Test fell from 1962 to 1990 by
11 percent in the verbal section and
5 percent in the mathematics part.
The Educational Testing Service
does not call the S.A.T. an intelligence test,
but the test is nevertheless supposed to measure
something like native brainpower.

[1.4]
Worst of all, say the authors,

the lowest intellectual levels of the population
are strongly outbreeding the brightest,

and if (as most psychologists believe) intelligence is partly inherited,
America is losing the cognitive base
essential to coping with national problems.


[1.5]
In The Bell Curve: Intelligence and Class Structure in American Life,
Richard J. Herrnstein and Charles Murray write,
“Mounting evidence indicates that
demographic trends are exerting downward pressures on
the distribution of cognitive ability in the United States
and that
the pressures are strong enough to have social consequences.”
It makes little difference
whether people at the low end of the intelligence scale
pass on their deficit genetically or environmentally, they say:
“If women with low scores are reproducing more rapidly
than women with high scores,
the distribution of scores will, other things equal, decline,
no matter whether the women with the low scores
came by them through nature or nurture.”

[1.6]
This thesis becomes especially unpalatable
when one considers the authors’ observation that
a large proportion of this emergent underclass is black.
Unless future accommodations between ethnic groups
lead to a more harmonious social structure,
Mr. Herrnstein and Mr. Murray say,
the potential for racial hatred seems enormous.

[1.7]
However much one may disagree with this assessment,
the possibility that the authors may be even partly right
makes these three books worth plowing through and mulling over.
The articulation of issues touching on group intelligence and ethnicity
has been neither fashionable nor safe for the last three decades,
but these scholars argue that the time has come
to grasp the nettle of political heresy,
to discard social myths and
to come to grips with statistical evidence.

[1.8]
The authors suggest that unless we do something to correct present trends,
America may soon be permanently split between
an isolated caste of ruling meritocrats on one hand
and a vast, powerless Lumpenproletariat on the other.
Society, the authors predict,
will have little use for this underclass
in a world dominated by sophisticated machines
and the bright human beings who tend them.

[1.9]
This grim future may already be unavoidable.

[1.10]
Seymour W. Itzkoff, whose book
The Decline of Intelligence in America: A Strategy for National Renewal
is the gloomiest of the group, writes:
“Our problem is simple, but oh-so-difficult to discuss, let alone accept.
We are a different people than we were 50 years ago.
In truth, we are not the nation that we were.
Relative to the rest of the developed and developing world,
we probably no longer have the intellectual capital
that can profit from the available educational resources.”

[1.11]
These books are heavily laced with statistics, bibliographic citations and ideas requiring time to consider, and they are not light reading.
The authors of The Bell Curve tell readers that
they may limit their perusal to the summaries that precede each chapter,
and that they may skip the main text.
Still, “he Bell Curve is 845 pages long,
and a reader who skips even the appendixes
will miss many of the points the authors are at pains to make.

[I have the book, have read parts of it,
and think the reviewer’s comment just above is excessively negative.
Sure, if you only read the summaries,
you will miss a lot of detail and substantiation of the argument,
but if you do as Herrnstein and Murray suggest and just read the summaries
you will get their main arguments,
which are certainly not part of the conventional wisdom
and well worth acquainting yourself with,
whether you agree with it or not.
The points that will be missed are, to some extent, redundant.]


[1.12]
The writers of these works are recognized by colleagues as serious scholars.
Mr. Herrnstein, who died from lung cancer at the age of 64 this September,
just before publication of The Bell Curve,
was a professor of psychology at Harvard University;
Mr. Murray, a fellow at the American Enterprise Institute
whose views influenced the Reagan White House,
is the author of Losing Ground: American Social Policy 1950-1980;
J. Philippe Rushton, the firebrand of the quartet,
is a professor of psychology at the University of Western Ontario, and
Mr. Itzkoff is a professor of education at Smith College.

[1.13]
Although their books vary in viewpoint,
the authors share a suite of controversial convictions.
They believe that
intelligence in some deep but ill-defined sense
is a real attribute of human beings,

not some artificial construct
of the psychometricians who invented intelligence tests.
(Mr. Itzkoff’s loose definition of intelligence,
very similar to that of the other authors,
is expressed as the capacity “to think abstractly, to reason. . . .
to organize large quantities of information into meaningful and useful systems.”)

[1.14]
They believe that I.Q. can be quantitatively measured,
and that intelligence is at least partly heritable.
They say that numerical measurements of intelligence
are statistically (albeit weakly) correlated with job performance,
as well as with rates of
birth, marriage, divorce, illegitimacy, crime, welfare dependency
and participation in the political process.



[2.1]
MOREOVER, they say,
intelligence test scores tend to vary with ethnic groups.
In the United States,
Asians generally score a few points higher than whites and
blacks some 15 I.Q. points lower than whites.
(Mr. Herrnstein and Mr. Murray mention in passing that
“Ashkenazi Jews of European origins . . .
test higher than any other ethnic group.”)
These relative standings have not changed appreciably over time,
despite many profound changes during the last half-century
in social and economic conditions.
The authors acknowledge that
an enriched social, educational, economic and intellectual environment
can and does raise intelligence scores,
but they insist that
even when due allowance is made in terms of statistical comparisons
of all other factors and measuring their relative weights,
intelligence still seems to be
strongly influenced by the genes of one’s forebears.

[2.2]
This leads to the depressing inference by the authors that
no matter how many remedial education programs are brought to bear on
intellectually disadvantaged children,
many of them will still be hamstrung by
an ineradicable cognitive disability created by genetic bad luck.

[2.3]
Society, the authors argue,
should accept this as a real possibility and learn to cope with it,
rather than merely denouncing all intelligence studies
and ignoring the data they yield.
For one thing, they say,
much of the Government money spent on education programs like Head Start
(which was launched in 1964)
is wasted,
helping only the nation’s bloated educational bureaucracies.

[2.4]
“The earliest returns on Head Start were exhilarating,”
Mr. Herrnstein and Mr. Murray write.
“A few months spent by preschoolers in the first summer program
seemed to be producing incredible I.Q. gains --
as much as 10 points.”
The gain was so impressive that in 1966 Congress expanded the program,
but by then, the authors of The Bell Curve say,
“experts were noticing the dreaded ‘fade-out,’
the gradual convergence in test scores
of the children who participated in the program
with comparable children who had not.
To shorten a long story,
every serious attempt to assess the impact of Head Start on intelligence
has found fade-out.”
Cognitive benefits “picked up in the first grade of school
are usually gone by the third grade.
By sixth grade, they have vanished entirely.”

[2.5]
This leaves unanswered questions about
whether the declining educational environment after Head Start
may in itself account for the fading out of its beneficial effects,
and it raises related questions about I.Q. itself:
if it can be raised by education,
how strongly is it linked to inheritance?



[3.1]
TAKEN individually,
none of the propositions advanced in these books is necessarily a call to arms,
but in combination they are explosive.
The writers themselves,
whose views have been widely known (among academics, at least)
for many years,
are no strangers to
public rows, student boycotts, hostile demonstrations and even legal assaults.
Aware of the storm of criticism their latest books may face,
all four invoke mountains of statistics to fend off anticipated criticism
from such critics as Stephen Jay Gould, the Harvard paleontologist
who in The Mismeasure of Man (1981) charged that
“determinist arguments
for ranking people according to a single scale of intelligence,
no matter how numerically sophisticated,
have recorded little more than social prejudice.”

[By the way,
Kevin MacDonald mounts a strong attack on the validity of Gould’s criticism
in Chapter 2 of The Culture of Critique,
as does Murray in the 1995 afterword to “The Bell Curve”.
Robert Wright has gone on record with the following assessment of Gould:

“At the risk of sounding grandiose,
I hereby declare myself to be involved in a bitter feud
with no less a personage than Stephen Jay Gould.
It all started in 1990,
when I reviewed his book Wonderful Life for the New Republic.
I argued, basically, that
Gould is a fraud.
He has convinced the public that he is not merely a great writer,
but a great theorist of evolution.
Yet, among top-flight evolutionary biologists,
Gould is considered a pest--
not just a lightweight,
but an actively muddled man
who has warped the public's understanding of Darwinism.”

]

[3.2]
The authors cite many surveys suggesting significant correlations
between low scores on intelligence tests and undesirable tendencies:
a difficulty with learning,
a likelihood of remaining impoverished and jobless,
an involvement in all types of crime,
a tendency not to vote or participate in community affairs,
a high incidence of abusing or abandoning children and
a record of producing far more children (most of them illegitimate)
than can be supported.

[3.3]
Mr. Itzkoff believes that
the least intelligent, least educable, poorest,
most politically apathetic and abusive contingent of the population
is reproducing faster than
the smart, rich, politically active and nurturing contingent.
He believes this has fueled a dysgenic trend:
America’s collective smartness is being diluted,
gravely endangering
the nation’s ability to compete economically in international markets;
for example, he says,

America’s declining ability to compete
in the global sale of automobiles and other manufactured products,
as well as its status as the world’s leading debtor nation,
are partly the result of
the declining cognitive abilities of workers and administrators.


[3.4]
In his book,
Mr. Itzkoff places most of the blame for America’s alleged intellectual decline
on what he sees as
an economically and intellectually elite caste of misguided liberals.
They have isolated themselves from American society, he says,
by their paternalistic treatment of the underclass,
by discounting the importance of traditional family values [e.g.] and
by failing to raise enough bright, educated children
to sustain national competence.
Mr. Itzkoff’s unabashedly conservative tract
condemns liberals in government, in the news media and in society at large,
and calls for
an end to welfare programs,
a radical reform of the academic and employment quota systems
that are supported by affirmative action and
a tightening of immigration standards,
perhaps barring families deemed likely
to become permanently dependent on the welfare system.

[3.5]
No such calls to action are urged by Mr. Rushton,
the author of Race, Evolution, and Behavior: A Life History Perspective,
or by Mr. Herrnstein and Mr. Murray.
Nowhere do they advocate
the measures championed by the eugenicists of the 1920’s and 1930’s,
whose ideas were appropriated and perverted by the Nazis
as the rationale for the Holocaust.
Indeed, the authors of The Bell Curve say that
the granting to any government or social institution
of the power to decide who may breed and who may not
is fraught with such obvious dangers as to be unacceptable.

[3.6]
Still, one suspects that the authors of these three books
may have softened their agendas somewhat
to parry the expected fury of
liberal critics, fellow academics and hostile mobs.
Given their conclusions about intellect and demographics,
it is hard to believe that these writers would oppose
a eugenically motivated program
designed to influence patterns of reproduction.

[3.7]
They leave many subjects untouched,
including the genetic opportunities created by molecular biology --
a Pandora’s box loaded with paradoxes and snares.
For the first time in human history,
it may soon be possible
to confer resistance to disease upon living organisms and
to free people of inherited scourges
like sickle-cell anemia and Tay-Sachs disease.
Most people would argue that society is justified in fighting physical disease,
but what if we were to carry the war against disease a step farther?
Is it wrong to regard a hereditary predisposition to lower intelligence
as a kind of genetic disease and to find ways to cure it?

[3.8]
Merely asking that question is enough to cause fear and outrage,
and these authors, perhaps wisely, elect to leave it alone.
Sooner or later, however, society may have to decide
whether human beings have the right -- perhaps even the duty --
to strengthen our species’ cognitive defenses against
an increasingly dangerous global environment.
Human beings evolved over the eons to defend themselves against
changes in their environment, and things are still changing.

[3.9]
Meanwhile, there are matters of practical policy to consider,
such as the merits of affirmative action.
Psychometricians generally agree that
blacks, on average, have scored lower than whites on intelligence tests
and that
whites have scored lower than Asians
ever since such tests were devised early in this century.
But it is often argued that standardized tests cannot measure intelligence,
and that the tests administered in the United States are especially pointless
because they are culturally biased against blacks and Hispanics.
In 1971 the Supreme Court endorsed such criticisms
and ruled that tests of general intelligence
(as opposed to tests that solely measure fitness for particular jobs)
are discriminatory and cannot be administered as a condition of employment.

[3.10]
Mr. Murray and Mr. Herrnstein argue, however, that
charges of systematic bias in intelligence testing are refuted by
objective analyses of the available data.
They cite the Scholastic Aptitude Test as one of their examples.
“If the S.A.T. is biased against blacks,” they say,
“it will underpredict their college performance.”
But “external evidence of bias has been sought in hundreds of studies,”
Mr. Herrnstein and Mr. Murray say.
“It has been evaluated relative to performance
in elementary school, in secondary school, in the university,
in the armed forces, in unskilled and skilled jobs, in the professions.
Overwhelmingly, the evidence is that
the major standardized tests used to help make school and job decisions
do not underpredict black performance,
nor does the expert community find any other general or systematic difference
in the predictive accuracy of tests for blacks and whites.”

[3.11]
One of the strengths of The Bell Curve is that
it devotes an entire section to
the relationships between I.Q. and behavior among whites alone,
thereby eliminating the complications arising from interracial comparisons.
Analyses of data gathered from exclusively white demographic groups
strongly suggest that
even if one ignores race, socioeconomic status and family background,
I.Q. does indeed correlate with
birth rates, crime rates and many other things.
Taken as a whole, the statistics are impressive;
it seems hard to challenge the notion that
I.Q. plays a statistically important role in the shaping of society.

[3.12]
Mr. Murray and Mr. Herrnstein draw extensively from
the National Longitudinal Survey of Youth,
which has focused on 12,686 high school students,
picked as a representative sample
of the high school population, who graduated between 1980 and 1982.
These students, who were tested and measured at the outset of the study in 1979, have been tracked ever since.
Based on the psychometric indicators
and the personal histories of these young people,
the authors found various suggestive correlations and concluded that
the biggest influence on the lives of the people in their sample
was the “g” factor --
psychometricians’ jargon for core intelligence.

[3.13]
Definitions of intelligence have always been controversial,
as have been tests devised to measure it quantitatively.
In 1904, the British psychometrician Charles Spearman
conceived of a quality he called “g,” or “general factor” of intelligence,
which has remained part of the psychometrician’s lexicon ever since.
Spearman’s idea was based on his finding that
people tend to achieve similar scores
on tests that may be very different in content
but that contain questions requiring cognitive skill.
Such questions were said to measure “g,”
and tests that emphasized this factor
rather than calling for demonstrations of learned skills
are said to be “g-loaded” tests.

[3.14]

“G-loaded” tests,
the authors of these three books contend,
are better predictors of job performance
than tests for specific learned skills.




[4.1]
THE Pentagon found the National Longitudinal Survey so useful that
its experts used it in devising
a general intelligence test known as the Armed Forces Qualification Test,
which focuses on problem-solving aptitude
and has been administered to all would-be recruits for many years.
Mr. Herrnstein and Mr. Murray cite military statistics showing that
the “strongly g-loaded” Armed Forces Qualification Test
is an excellent predictor of success in military training schools,
even including combat schools that stress physical performance.
The statistics were assembled from
the records of 472,539 service personnel and 828 military schools.

[4.2]
Statistics are so important to the subjects under discussion that
Mr. Murray and Mr. Herrnstein offer readers
a short course on the interpretation of
standard deviations, regression analysis and kindred matters.
Their title, The Bell Curve,
refers to the shape of normal distribution graphs --
bulging in the middle and thinning out at the edges --
that are used to represent large numbers of individuals
sorted according to any shared characteristic --
weight, exposure to asbestos, taste in clothes or I.Q.

[4.3]
The authors frequently refer to bell curves to make a point:
that predictions about any individual based exclusively on his or her I.Q.
are virtually useless.
It is only when weak correlations between intelligence and job success
are applied to large groups of people
that they have predictive value.

Within statistically large groups of people, the authors say,
the pervasive influence of I.Q. on human society becomes evident.

[4.4]
Statistics can be powerfully persuasive but they are as slippery as eels,
often susceptible to opposing interpretations.
In brief,
it is sometimes difficult to tell good statistics from bad ones.
Epidemiology, a branch of medicine that relies heavily on statistics
and
has had some brilliant successes but also some spectacular failures,
is a case in point.
Epidemiologists have successfully used statistical correlations
to convince most people that
smoking increases the incidence of certain diseases, for example,
but when some epidemiologists pointed out
a relationship between low doses of microwave radiation and disease,
their claims were bitterly contested.
Debates over the epidemiology of intelligence
have fallen into the same witch’s brew.



[5.1]
ONE of the main problems in assessing statistics is
the risk of overlooking confounding variables.
A graph demonstrating
a positive correlation between intelligence test scores
and academic achievement
may be very persuasive until, perhaps,
one looks at an equally impressive graph that shows
a negative correlation between academic achievement
and the level of environmental lead to which a student is exposed.
Does the lead impair the learning process directly,
or does it do so indirectly by reducing cognitive ability?
Is it merely a coincidence that
environmental lead levels are high in inner-city neighborhoods
whose children do badly in school?
In any study of I.Q.,
can an epidemiologist “control” for
all the independent factors that may create spurious correlations,
such as inequalities in
schooling, nutrition, family environment and general health?
Maybe so, but
it is notoriously difficult for scientists who study intelligence
to reach consensus about anything.

[5.2]
Despite its impressive (albeit numbing) mass of statistical arguments,
The Bell Curve suffers from a consistent weakness:
Its authors seem unsure whether they are addressing
ordinary (but scientifically literate) readers or professional scholars.
In their indecision, they offer either too little or too much information.
Their book abounds with tables and graphs,
but to gauge the validity of many of the inferences the authors present,
a reader is often obliged to dig into the book’s huge bibliography
and seek out the original papers to which it refers,
many of them available only at scientific libraries.

[It seems to me that is only a problem if one doesn’t trust the authors.
If they are trusted, why would one challenge
“the validity of … the inferences the authors present”?
And isn’t this a problem that can be raised for any book
that references the scientific literature?
Why just raise it here?
Can it be that this is just a convenient excuse to disparage the book?]


[5.3]
The book leaves unanswered questions a reader might have
about such vital matters as sampling procedures.
In a discussion of one of the statistical methods for gauging heritability,
the authors write:
“Nonspecialists need not concern themselves with nuts and bolts,
but they may need to be reassured on a few basic points.”
What follows is partly a discussion of statistical analysis
and partly a plea to the reader to accept certain inferences on faith.

[Again, what non-technical book doesn’t make such implicit pleas?]

[5.4]
Nevertheless, The Bell Curve makes a strong case that
America’s population is becoming dangerously polarized between
a smart, rich, educated elite and
a population of unintelligent, poor and uneducated people.
The authors deplore this polarization, which, they feel,
has begun to manifest itself in the polarization of the nation’s services:
while the elite
use private delivery services,
go to private schools,
live in gated communities and
rely on arbitration by private lawyers to handle business disputes,
the rest of the population
uses the Federal postal service,
goes to public schools,
lives outside the gates of private communities and
relies on public judicial process.
Moreover, the authors note,
America no longer has a conscript army --
an institution which, with all its faults,
was one of the great mixers of young men from all levels of society.

[5.5]
As the job market for the masses --
the people at the low end of the intelligence spectrum --
dries up,
Mr. Herrnstein and Mr. Murray write,
America’s leaders are increasingly likely to create a “custodial” state
that minimally nourishes, houses and cares for its despised underclass
in the equivalent of an Indian reservation.
[For a description of a situation that sadly bears at least a passing resemblence
to that described by Herrnstein and Murray,
see “A Frightening 'New Normal' in the District” by Colbert King.]

The result, the authors contend, will be alienation and vicious racial hatred.
Once a major segment of society becomes a permanent ward of the state,
democracy must swiftly die.



[6.1]
Mr. Rushton’s book, Race, Evolution, and Behavior, is incendiary.
His thesis is that
separate races of human beings evolved
different reproductive strategies
to cope with different environments,

and that these strategies led to physical differences between races,
including differences in brain size and hence in intelligence.
Human beings who evolved in
the warm but highly unpredictable environment of Africa
adopted a strategy of high reproduction,
while human beings who migrated to
the hostile cold of Europe and northern Asia
took to producing fewer children but nurturing them more carefully.

[6.2]
This, Mr. Rushton contends, gave rise to three major races
(he scorns the phrase “ethnic groups”) --
mongoloids, caucasoids and negroids --
and to physiological differences between the races
(things like pelvis size, genital size and fertility rates)
that are consonant with their rates of reproduction.
He cites

worldwide studies concluding that
black women ovulate more often than white women,
have more twins than white women,
mature sexually faster than whites, and
differ in other ways
that affect their reproduction rates and strategies for child rearing.

Among Mr. Rushton’s conclusions are that whites, on average,
emphasize nurture rather than numbers of offspring,
while blacks, on average,
are shaped by evolutionary selection pressures to produce more children
but to nurture each one less.

At the other extreme,
some studies suggest that mongoloids evolved to produce even fewer offspring.
One indicator, Mr. Rushton says, is a tendency to produce fraternal twins --
twins conceived from two eggs in the same menstrual cycle.
The rate of fraternal twins per 1,000 births
for mongoloids is less than 4,
for whites, approximately 8, and
for negroids, more than 16,
he says.

[Of course, the countervailing, PC, argument is that
female fertility is a function of income and education.
There is certainly evidence for that.
But there are also significant religious factors:
consider, say, Mormons and Orthodox Jews.]


[6.3]
THIS is the kind of proposition
that makes Mr. Rushton a constant target of furious protests.
His classes in psychology at the University of Western Ontario
have been barred by hostile demonstrators year after year,
forcing him to lecture by videotape.

[6.4]
Mr. Rushton is nevertheless regarded by many of his colleagues
as a scholar and not a bigot.
[Are charges of “bigotry” all too often just a way of suppressing inconvenient facts?]
The University of Western Ontario
has consistently upheld his right to continue teaching.
One of his papers on racial differences was presented at a 1989 meeting of the American Association for the Advancement of Science
and caused an uproar,
but demands to suppress the paper were rejected by Walter Massey,
who at the time was president of the association.
Mr. Massey, who is black, argued that
no scientific organization has the right
to act as a censor of scientific debate.

[6.5]
In their book, Mr. Murray and Mr. Herrnstein
do not support Mr. Rushton’s theories of human evolution,
but they comment that
“Rushton’s work is not that of a crackpot or a bigot,
as many of his critics are given to charging. . . .
As science, there is nothing wrong with Rushton’s work in principle;
we expect that time will tell whether it is right or wrong in fact.”

[6.6]

The most insistent plea of the four authors is for
freedom of debate
and an end to
the shroud of censorship imposed upon
scientists and scholars
by pressure groups and an acquiescing society.

Mr. Murray and Mr. Herrnstein write that
“for the last 30 years, the concept of intelligence
has been a pariah in the world of ideas,”
and that the time has come
to rehabilitate rational discourse on the subject.
It is hard to imagine a democratic society doing otherwise.





1994-12-05-NR-Novak-Bell-Curve
Sins of the cognitive elite - intelligence and morality -
'The Bell Curve'

by Michael Novak
National Review, 1994-12-05

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2005-02-07

STEM education and jobs

2013

2013-04-25-WP-there-may-not-be-a-shortage-of-american-stem-graduates-after-all
Study: There may not be a shortage of American STEM graduates after all
By Jia Lynn Yang
Washington Post, 2013-04-25

If there’s one thing that everyone can agree on in Washington, it’s that the country has a woeful shortage of workers trained in science, technology, engineering and math — what’s referred to as STEM.

President Obama has said that improving STEM education is one of his top priorities. Chief executives regularly come through Washington complaining that they can’t find qualified American workers for openings at their firms that require a science background. And armed with this argument in the debate over immigration policy, lobbyists are pushing hard for more temporary work visas, known as H-1Bs, which they say are needed to make up for the lack of Americans with STEM skills.

But not everyone agrees. A study released Wednesday by the left-leaning Economic Policy Institute reinforces what a number of researchers have come to believe: that the STEM worker shortage is a myth.

The EPI study found that the United States has “more than a sufficient supply of workers available to work in STEM occupations.” Basic dynamics of supply and demand would dictate that if there were a domestic labor shortage, wages should have risen. Instead, researchers found, they’ve been flat, with many Americans holding STEM degrees unable to enter the field and a sharply higher share of foreign workers taking jobs in the information technology industry. (IT jobs make up 59 percent of the STEM workforce, according to the study.)

...


2013-07-15-Forbes-Anderson-international-students-are-70-of-ee-grad-students-in-u-s
International Students Are 70% of EE Grad Students in U.S.
by Stuart Anderson
Forbes.com, 2013-07-15

International students play an important role at U.S. universities and in the country as a whole, yet they are rarely discussed in the immigration debate. I recently gathered and analyzed data from the National Science Foundation on the number and percentage of international students by field and in individual universities, and also spoke with professors. (Find full National Foundation for American Policy (NFAP) report here.)

The most important finding is not what I expected when I started the research. What I found is that graduate students, many of them international students, play a key role in supporting research at universities. And the research is important because it attracts and retains high quality professors at U.S. universities, which in turn helps U.S. students by keeping science and engineering programs at a high level.

And the research itself is important, since universities conduct more than half of all basic research conducted in the United States, according to government data, and that research not only benefits U.S. society and the economy but helps keep U.S. universities and America at the center of both education and innovation around the world.

One question raised by openness towards international students is whether such students “crowd out” Americans who wish to attend college. “The first priority is U.S. citizens, we get as many who qualify as we can,” said Ohio State Professor Stuart Cooper. “I don’t think there is crowding out. There is a lot of pressure to have more U.S. citizens. We try for that. The reality is there are not enough to go around.”

Economists Keith Maskus, Aaditya Mattoo, and Gnanaraj Chellaraj point to data over the last three decades that show: “The number of Ph.D.s granted to undergraduates of U.S. institutions, most of whom were U.S. citizens, did not change much during this period, while there was a substantial growth in the number of foreign bachelor’s graduates obtaining U.S. doctorates. Thus the change in proportion is mostly due to the expansion of Ph.D. programs, with a majority of the new slots being taken for foreign students rather than through substitution.”

Looking at U.S. graduate programs for the years 1982 through 1995, Mark Regets of the National Science Foundation found no evidence that international students displaced U.S. citizens in graduate programs. The data showed increases in international students in a graduate department were associated with increases, not decreases, in the enrollment of U.S. citizens and permanent residents (approximately one additional U.S. student for every three added international students). Rising enrollment for one group associated with enrollment increases for all groups is “a result inconsistent with displacement,” according to Regets.

Here are some of the key findings in the NFAP report: International students account for 70 percent of the full-time graduate students (master’s and Ph.D.s) in electrical engineering. In computer science, international students make up 63 percent of the full-time graduate students. In industrial engineering, economics, chemical engineering, materials engineering and mechanical engineering more than half the full-time graduate students are foreign nationals. The numbers are even higher at some individual colleges, depending on the field.

When companies go to individual campuses they find half to two-thirds or even more of the graduate students are international students. Would it make sense for U.S. companies to ignore such a large pool of talent if they want to compete globally? It is a reasonable question and I think most companies would say it would not make sense to ignore this talent pool. But it is likely the largest contribution international students make is to strengthen U.S. graduate school programs, which helps keep America at the center of research and innovation.

[It's the pipeline, stupid.
The efforts in our public schools have been, for the last few decades,
all about "helping girls to develop their potential"
and "closing the racial gap."
Evidently the potential of girls to be good EEs is less than their potential for the fields they have flocked into,
while those trying to close the racial gap might ask how many scientists has Africa produced,
and whether racism is really the cause of that lack.
Meanwhile, at, say, Fairfax County's Thomas Jefferson High School for Science and Technology, for example,
despite the impressive sounding name, math ability only counts for 30% in its admissions,
while its director of admissions is a black woman!!!!
One might wonder what her priorities are: getting women and blacks into the school,
or getting those with the most potential for advanced work in math, science, and technology,
irrespective of race and gender.

As to the problems that educator's emphasis on the needs of girls
have created for boys,
see either the 2001 or 2013 edition of
The War Against Boys: How Misguided Policies are Harming Our Young Men
by Christina Hoff Sommers
(note: the 2001 edition had the word "Feminism" instead of "Policies" in the subtitle).
Is the "advantage" of
law and medical schools filled with flocks of young American women
worth the problem (in my view) that
the young American men who could have filled the engineering departments
have either been turned off by
an American educational system that focuses on women's needs
(see the Sommers book for examples of this),
or filtered out by selection criteria at the various levels of education
that focus, in effect, on political correctness rather than merit and
suitability for a scientific or technical career?]

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2005-01-20

Complexity

2010


2010-05-02-NYT-Segal-complexity
It’s Complicated: Making Sense of Complexity
By DAVID SEGAL
New York Times, 2010-05-02

Labels: ,