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RIPR is a (paper) newsletter
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Our economic dependence on high health care spending. Review of
Crashing the Gate
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Responsibility:
Tom Sgouros
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Mon, 29 Nov 2004
Computational Genomics
What to make of an article
in the National Review about amazing advances in genetics and what
that means for cherished liberal ideas? The article, predictably, was
all about how advances are really going to uncover important
differences between races, and deterministic facts about intelligence,
and therefore it has to be conducted in secrecy, lest the researchers
be branded bigots. The writer told about a friend of his, a
"datanaut" who was up to his neck in complex math to analyze
the genome.
Well, there is a lot to say about computational genomics, but not
really what the NR author had in mind. The message of modern genetics
is both encouraging and discouraging, but not in the way he had it.
The encouraging part is that while the "datanaut" in that
NR article knows a lot about the math of genetics, math is hardly
everything. A developmental biologist (whose name I wish I could
remember, but maybe someone will help me) made this point famously
many years ago by taking a chick embryo, pureeing it, and centrifuging
it. He pointed out that after pureeing, it still contained as much
genetic information as it had before, and that the centrifuging added
order, but that no one thought it would still turn into a chick. A
living egg is a complicated thing, and no one has yet figured out how
to reduce its complexity to math, which is why there is no field of
"Computational Development," with computer scientists
pretending to "slum" as development biologists. So the
encouraging part is that there is still a great deal of mystery in
life, and most of the claims you read about in the Science Times or in
the National Review are at least partly crap.
Here's an example: you hear pundits moaning about the possibility
of cloning babies. Our Congressman Langevin says this is why he voted
against stem-cell research: over the fear of reproductive cloning.
Well, I guess we've cloned a sheep, so why not a baby? What you never
read about is that Dolly the sheep was the first successful result
after almost 300 failures. That's 300 stillborn, deformed, or
died-as-infant sheep to produce just one
now-that-we-think-about-it-not-very-healthy adult, to translate
"failure" into something more concrete. Presumably this
record will improve, probably dramatically. But will it improve
enough for even the most morally obtuse person to want to try it?
Maybe, but it hasn't yet, so far as I know.
The discouraging part, on the other hand, is that nothing seems to
stop people in this kind of science from overstating the power of
their results. Scientific hubris is an old tradition, and the
successes of datanauts at finding things like the gene for
Huntington's disease has only emboldened them. I don't doubt for a
minute that they may have found "genes" that have some
correlation with intelligence. (Such a claim was made in the NR
article.) But so what? Good diet correlates with intelligence, too.
I doubt very much that there's any kind of profound understanding
why some stretch of DNA correlates that way. Maybe they've
found a section of DNA that regulates something else that has to do
with efficient digestion. Who knows? I don't. And I stongly suspect
they don't, either. They can't even agree on what constitutes
a gene.
Humility is a virtue, but it's not one shared by most computer
scientists, who think they have a monopoly on understanding issues
involving computation. Genetics and psychology both seem to touch on
related subjects to some degree, but does that give computer
programmers the keys to the kingdom?
The NR author writes that he is snowed by the sophisticated math of
his datanaut. What he doesn't realize is that the math is
sophisticated because the understanding isn't. They're using the math
to look for correlations between distant parts of the genome, and
looking for all different kinds of ways to massage the genetic data so
that it is readable. But it's all based on the assumption that all
the information is in there, which anyone who spends five minutes
thinking about the subject can tell isn't true. (Think of that poor
chick again.)
But, like the NR author fears, word will get out, and pundits who
don't know squat about the science will be persuaded by the simple and
straightforward and mostly wrong story told by datanauts. They'll
find some gene that correlates with intelligence and then find that
Asians have more of it, and there will be a to-do and cry in our
newspapers and on our television sets about how it's inevitable that
China overtake the US in everything. And then in 20 years we'll learn
that it's really a bit of DNA that makes something to do with your
lungs (which are also important to intelligence), and there are two
other genes that do the same work, and are just as good. But in the
meantime, we'll have made all kinds of stupid policy decisions based
on that first interpretation.
So that's the discouraging part. What makes me fearful is
not that we'll eventually understand too much of what makes our selves
and our races. It's that on the way there, we'll fool ourselves into
thinking that we know more than we do and we will do some very very
stupid things to ourselves.
23:49 - 29 Nov 2004 [/y4/no]
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