168 entries categorized "Science"

April 26, 2008

Helium Mines

My problem--actually one of my many problems, but that's a long story--is that I don't understand where our supply of helium comes from. How is there helium trapped in the earth's crust that we can mine? Is it all from the decay of uranium?

Ah. Wikipedia comes through once again:

Helium - Wikipedia, the free encyclopedia: After an oil drilling operation in 1903 in Dexter, Kansas, U.S. produced a gas geyser that would not burn, Kansas state geologist Erasmus Haworth collected samples of the escaping gas and took them back to the University of Kansas at Lawrence where, with the help of chemists Hamilton Cady and David McFarland, he discovered that... 1.84% of the gas sample was helium. Far from being a rare element, helium was present in vast quantities under the American Great Plains, available for extraction from natural gas. This put the United States in an excellent position to become the world's leading supplier of helium.... World War I... 200 thousand cubic feet (5,700 m3) of 92% helium was produced in the program even though only a few cubic feet (less than 100 liters) of the gas had previously been obtained... the world's first helium-filled airship, the U.S. Navy's C-7, which flew its maiden voyage from Hampton Roads, Virginia to Bolling Field in Washington, D.C. on 1 December 1921.... National Helium Reserve in 1925 at Amarillo, Texas with the goal of supplying military airships in time of war and commercial airships in peacetime. Due to a US military embargo against Germany that restricted helium supplies, the Hindenburg was forced to use hydrogen... the reserve was expanded in the 1950s to ensure a supply of liquid helium as a coolant....

By 1995, a billion cubic metres of the gas had been collected... "Helium Privatization Act of 1996."...

For many years the United States produced over 90% of commercially usable helium in the world. Extraction plants created in Canada, Poland, Russia, and other nations produced the remaining helium. In the mid 1990s, A new plant in Arzew, Algeria producing 600 million cubic feet (1.7×107 m3) came on stream, with enough production to cover all of Europe's demand. Subsequently, in 2004–2006 two additional plants, one in Ras Laffen, Qatar and the other in Skikda, Algeria were built, but as of early 2007, Ras Laffen is functioning at 50%, and Skikda has yet to start up. Algeria quickly became the second leading producer of helium....

Nearly all helium on Earth is a result of radioactive decay. The decay product is primarily found in minerals of uranium and thorium, including cleveites, pitchblende, carnotite and monazite, because they emit alpha particles, which consist of helium nuclei (He2+) to which electrons readily combine. In this way an estimated 3.4 litres of helium per year are generated per cubic kilometer of the Earth's crust....

The world's helium supply may be in danger, according to Washington University in St. Louis chemist Lee Sobotka. The largest reserve is in Texas and would run out in eight years if consumed at the current pace.... [H]elium is extracted by fractional distillation from natural gas, which contains up to 7% helium.... 2005, approximately one hundred and sixty million cubic meters of helium were extracted from natural gas or withdrawn from helium reserves, with approximately 83% from the United States, 11% from Algeria, and most of the remainder from Russia and Poland. In the United States, most helium is extracted from natural gas in Kansas and Texas...

March 29, 2008

Making False Advertising True

Nick Barrowman gave his weblog a somewhat deceptive name:

Log base 2: perspectives on history, science, technology, politics, language, and culture from Nick Barrowman.

So he tries to recover:

Log base 2: log base 2

March 10, 2008

Scott Aaronson on How to Do Science

Scott sez:

http://stellar.mit.edu/S/course/6/sp08/6.080/courseMaterial/topics/topic1/lectureNotes/lec2/lec2.pdf
http://stellar.mit.edu/S/course/6/sp08/6.080/courseMaterial/topics/topic1/lectureNotes/lec2/lec2.pdf

March 08, 2008

Robert Waldmann Has a Big Problem with the Anti-Prozac Meta-Analysis Study

Robert Waldmann has a big problem with and talks back to the anti-Prozac meta-analysis study of Hirsch et al.*.

Mark Liberman summarizes the meta-analysis data in a nice picture:

Language Log: Listening to Prozac, hearing effect sizes

The x's are studies. The vertical axis shows the improvement in mood for people being given the placebo--the sugar pill. The horizontal axis shows the improvement in mood for people being given the antidepressant, both according to the Hamilton Scale of Depression.

People being given the placebo improved their mood a lot--by 7.8 points, which is a relatively big deal on the Hamilton Scale: feeling that you are taking control over your Depression by getting involved in a cutting-edge medical study, the fact that a group of research scientists are paying attention to you, and the passage of time together do a lot of good. But the people being given the actual anti-depressants improved their mood by even more. Let's turn the mike over to Hirsch et al.:

[W]eighted mean improvement was 9.60 points on the HRSD in the drug groups and 7.80 in the placebo groups, yielding a mean drug-placebo difference of 1.80 on [Hamilton] improvement scores.... [which] easily attained statistical significance [at the 0.001 level, in fact--much better than the 0.05 level]...

Subjects given Prozac improved their mood by an extra 1.8 points on the Hamilton scale. This difference is not due to chance sampling error--it is, statistically, very significant. The pills are really cheap to make. There is an upside. Better Living Through Chemistry.

So what's the problem with Prozac? The problem, according to Hirsch et al., is that the difference of 1.8 points on the Hamilton Scale:

does not meet the three-point drug–placebo criterion for clinical significance used by NICE [Britain's National Institute for Health and Clinical Excellence]...

Where does this requirement that no therapy for Depression is worthwhile unless it improves the Hamilton Scale score by three points come from? The weblog "Pyjamas in Bananas" finds a quote:

Pyjamas in Bananas: No research evidence or consensus is available about what constitutes a clinically meaningful difference in Hamilton scores, but it seems unlikely that a difference of less than 2 points could be considered meaningful. NICE required a difference of at least 3 points as the criterion for clinical importance but gave no justification for this figure...

Who wrote this? Irving Kirsch, lead author on the anti-Prozac study.

And it is at this point that the economist in me wants to reach for his revolver. A declaration that a real-world solid statistically-significant improvement in people's quality of life is not "clinically significant" is inadmissable unless it is motivated by a proper analysis of opportunity costs: a conclusion that the resources devoted to this therapy would have a higher value and a better alternative use in some other therapy. It cannot rest on an arbitary number that some organization pulls out of its a--.

Even worse, Robert Waldmann points out, is that the Guardian's health editor Sarah Boseley doesn't understand the article she is reporting on:

Prozac, used by 40m people, does not work say scientists: Analysis of unseen trials and other data concludes it is no better than placebo: Prozac, the bestselling antidepressant taken by 40 million people worldwide, does not work and nor do similar drugs in the same class, according to a major review released today.... When all the data was pulled together, it appeared that patients had improved - but those on placebo improved just as much as those on the drugs...

Waldmann comments that Boseley is:

totally dishonest, totally innumerate or both. 1.8 > 0. Patients on Placebo did not improve just as much as patients on SSRI's... this isn't even a case of treating a statistically insignificant difference... as... proof that the true value is zero.... "Irving Kirsch, Brett J. Deacon, Tania B. Huedo-Medina, Alan Scoboria, Thomas J. Moore & Blair T. Johnson" find a significant additional benefit of taking a SSRI rejecting the null of no benefit with a p value of "<0.001"... overwhelmingly strong evidence that SSRI's cause improvement in depression.... Oddly big Pharma, which spends huge amounts of money on advertising, doesn't seem to have managed to hire anyone intelligent enough to point out that 1.8 > 0...

February 15, 2008

Why I Like the Atrium of Berkeley's Valley Life Sciences Building

iPhoto

November 26, 2007

Australian Actresses Are Plagiarizing Scott Aaronson's Quantum Mechanics Lecture to Sell Printers

I am not sure that "plagiarizing" is the right word here. But it is a remarkable situation--and there ought to be a way for Robin Hanson's friend Scott Aaronson's to get a printer out of it:

Shtetl-Optimized » Blog Archive » Australian actresses are plagiarizing my quantum mechanics lecture to sell printers: I tried to think of a witty, ironic title for this post, but in the end, I simply couldn’t. The above title is a literal statement of fact...

http://www.youtube.com/watch?v=saWCyZupO4U

Scott Aaronson: PHYS771: Quantum Computing Since Democritus

A course I would like to take:

PHYS771: Quantum Computing Since Democritus:

PHYS771 Lecture 1: Atoms and the Void; PHYS771 Lecture 10: Quantum Computing; PHYS771 Lecture 10.5: Penrose; PHYS771 Lecture 11: Decoherence and Hidden Variables.


http://www.cs.princeton.edu/theory/complexity/; http://www.amazon.com/Emperor-New-Mind-Concerning-Computers/dp/0192861980/sr=8-1/qid=1158134107/ref=pd_bbs_1/103-6440007-3621459?ie=UTF8&s=books; http://www.springerlink.com/content/w236774414114626/.

Scott Aaronson: PHYS771: Lecture 10.5: Penrose

Aha!: Scott Aaronson on Roger Penrose: "if we can only approach mathematical truth with the same unreliable, savannah-optimized tools that we use for doing the laundry, ordering Chinese takeout, etc. -- then it seems we ought to grant computers the same liberty of being fallible. But in that case, the claimed distinction between humans and machines would seem to evaporate...":

PHYS771 Lecture 10.5: Penrose: So, you guys finally finished reading Roger Penrose's The Emperor's New Mind? What did you think of it? (Since I forgot to record this lecture, the class responses are tragically lost to history. But if I recall correctly, the entire class turned out to consist of -- YAWN -- straitlaced, clear-thinking materialistic reductionists who correctly pointed out the glaring holes in Penrose's arguments. No one took Penrose's side, even just for sport.)

Alright, so let me try a new tack: who can summarize Penrose's argument (or more correctly, a half-century-old argument adapted by Penrose) in a few sentences? How about this: Gödel's First Incompleteness Theorem tells us that no computer, working within a fixed formal system F such as Zermelo-Fraenkel set theory, can prove the sentence: G(F) = "This sentence cannot be proved in F." But we humans can just "see" the truth of G(F) -- since if G(F) were false, then it would be provable, which is absurd! Therefore the human mind can do something that no present-day computer can do. Therefore consciousness can't be reducible to computation.

Alright, class: problems with this argument?

Yeah, there are two rather immediate ones:

Why does the computer have to work within a fixed formal system F?

Can humans "see" the truth of G(F)?

Actually, the response I prefer encapsulates both of the above responses as "limiting cases." Recall from Lecture 3 that, by the Second Incompleteness Theorem, G(F) is equivalent to Con(F): the statement that F is consistent. Furthermore, this equivalence can be proved in F itself for any reasonable F. This has two important implications.

First, it means that when Penrose claims that humans can "see" the truth of G(F), really he's just claiming that humans can see the consistency of F! When you put it that way, the problems become more apparent: how can humans see the consistency of F? Exactly which F's are we talking about: Peano Arithmetic? ZF? ZFC? ZFC with large cardinal axioms? Can all humans see the consistency of all these systems, or do you have to be a Penrose-caliber mathematician to see the consistency of the stronger ones? What about the systems that people thought were consistent, but that turned out not to be? And even if you did see the consistency of (say) ZF, how would you convince someone else that you'd seen it? How would the other person know you weren't just pretending? (Models of Zermelo-Fraenkel set theory are like those 3D dot pictures: sometimes you really have to squint...)

The second implication is that, if we grant a computer the same freedom that Penrose effectively grants to humans -- namely, the freedom to assume the consistency of the underlying formal system -- then the computer can prove G(F). So the question boils down to this: can the human mind somehow peer into the Platonic heavens, in order to directly perceive (let's say) the consistency of ZF set theory? If the answer is no -- if we can only approach mathematical truth with the same unreliable, savannah-optimized tools that we use for doing the laundry, ordering Chinese takeout, etc. -- then it seems we ought to grant computers the same liberty of being fallible. But in that case, the claimed distinction between humans and machines would seem to evaporate. (Perhaps Turing himself said it best: "If we want a machine to be intelligent, it can't also be infallible. There are theorems that say almost exactly that.")

In my opinion, then, Penrose doesn't need to be talking about Gödel's theorem at all. The Gödel argument turns out to be just a mathematical restatement of the oldest argument against reductionism in the book: "sure a computer could say it perceives G(F), but it'd just be shuffling symbols around! When I say I perceive G(F), I really mean it! There's something it feels like to be me!" The obvious response is equally old: "what makes you so sure that it doesn't feel like anything to be a computer?"...

Opening the Black Box:

Alright, look: Roger Penrose is one of the greatest mathematical physicists on Earth. Is it possible that we've misconstrued his thinking? To my mind, the most plausible-ish versions of Penrose's argument are the ones based on an "asymmetry of understanding": namely that, while we know the internal workings of a computer, we don't yet know the internal workings of the brain. How can one exploit this asymmetry? Well, given any known Turing machine M, it's certainly possible to construct a sentence that stumps M: S(M) = "Machine M will never output this sentence." There are two cases: either M outputs S(M), in which case it utters a falsehood, or else M doesn't output S(M), in which case there's a mathematical truth to which it can never assent.

The obvious response is, why can't we play the same game with humans? "Roger Penrose will never output this sentence." Well, conceivably there's an answer: because we can formalize what it means for M to output something, by examining its inner workings. (Indeed, "M" is really just shorthand for the appropriate Turing machine state diagram.) But can we formalize what it means for Penrose to output something? The answer depends on what we believe about the internal workings of the brain (or more precisely, Penrose's brain)! And this leads to Penrose's view of the brain as "non-computational." A common misconception is that Penrose thinks the brain is a quantum computer. In reality, a quantum computer would be much weaker than he wants! As we saw before, quantum computers don't even seem able to solve NP-complete problems in polynomial time. Penrose, by contrast, wants the brain to solve uncomputable problems, by exploiting hypothetical collapse effects from a yet-to-be-discovered quantum theory of gravity....

In Shadows, Penrose offers the following classification of views on consciousness:

Consciousness is reducible to computation (the view of strong-AI proponents)

Sure, consciousness can be simulated by a computer, but the simulation couldn't produce "real understanding" (John Searle's view)

Consciousness can't even be simulated by computer, but nevertheless has a scientific explanation (Penrose's own view, according to Shadows)

Consciousness doesn't have a scientific explanation at all (the view of 99% of everyone who ever lived)

Now it seems to me that... Penrose is retreating from view C to view B. For as soon as we say that passing the Turing Test isn't good enough -- that one needs to "pry open the box" and examine a machine's internal workings to know whether it thinks or not -- what could possibly be the content of view C that would distinguish it from view B?... I want to bend over backwards to see if I can figure out what Penrose might be saying. In science, you can always cook up a theory to "explain" the data you've seen so far: just list all the data you've got, and call that your "theory"! The obvious problem here is overfitting. Since your theory doesn't achieve any compression of the original data -- i.e., since it takes as many bits to write down your theory as to write down the data itself -- there's no reason to expect your theory to predict future data. In other words, your theory is a useless piece of shit....

Now, here's the point I keep coming back to: if this is what Penrose means, then he's left the world of Gödel and Turing far behind, and entered my stomping grounds -- the Kingdom of Computational Complexity. How does Penrose, or anyone else, know that there's no small Boolean circuit to simulate Winston Churchill? Presumably we wouldn't be able to prove such a thing, even supposing (for the sake of argument) that we knew what a Churchill simulator meant! All ye who would claim the intractability of finite problems: that way lieth the P versus NP beast, from whose 2n jaws no mortal hath yet escaped....

Let's set aside the specifics of Penrose's ideas, and ask a more general question. Should quantum mechanics have any affect on how we think about the brain?... When people try to make the question more concrete, they often end up asking: "is the brain a quantum computer?" Well, it might be, but I can think of at least four good arguments against this possibility:

The problems for which quantum computers are believed to offer dramatic speedups -- factoring integers, solving Pell's equation, simulating quark-gluon plasmas, approximating the Jones polynomial, etc. -- just don't seem like the sorts of things that would have increased Oog the Caveman's reproductive success relative to his fellow cavemen.

Even if humans could benefit from quantum computing speedups, I don't see any evidence that they're actually doing so. (It's said that Gauss could immediately factor large integers in his head -- but if so, that only proves that Gauss's brain was a quantum computer, not that anyone else's is!)

The brain is a hot, wet environment, and it's hard to understand how long-range coherence could be maintained there. (With today's understanding of quantum error-correction, this is no longer a knock-down argument, but it's still an extremely strong one.)

As I mentioned earlier, even if we suppose the brain is a quantum computer, it doesn't seem to get us anywhere in explaining consciousness, which is the usual problem that these sorts of speculations are invoked to solve!...

A Leukocyte Goes About Its Business...

Ah. Here this is with its narration:

In some ways, I think it is better without the narration--without the dry description of what is going on. It is in a sense more marvelous when it is incomprehensible, or rather uncomprehended.

See also:

http://delong.typepad.com/sdj/2006/10/yet_more_on_ins.html

http://delong.typepad.com/sdj/2006/10/biologists_weep.html

http://sparkleberrysprings.com/v-web/b2/index.php?p=737&c=1

http://cosmicvariance.com/2006/09/29/the-cell-is-like-tron/

http://www.studiodaily.com/main/searchlist/6850.html

Why Oh Why Can't We Have a Better Press Corps? (Yet Another IQ and Heredity Edition)

Hoisted from the Archives: August 17, 2005:


Brad DeLong's Website: Why Oh Why Can't We Have a Better Press Corps? (Michael Barone: Intellectual Garbage Scow Edition): Mark Thoma does intellectual garbage pickup on the overrated Michael Barone.

He tackle's Barone's claim that "maybe" the fall in social mobility in America is due to the fact that a high IQ genetic elite has risen to the top of the fair meritocracy that is our society. And Mark's head explodes:

Economist's View: Does Michael Barone Believe the Poor Lack the Genetic Intelligence and Drive Needed to Compete in the Emerging U.S. Meritocracy?: Am I reading this column by Michael Barone correctly? Does it blame being poor on lack of intelligence? Do you believe, as he does, that if you are poor it is most likely because your parents were unintelligent?... Read it yourself....

Michael Barone: [P]olls show that Americans think their chances of moving up are better than a generation ago. Statistics tell a different story: There is a higher correlation today between parents' and children's income than in the 1980s, and the income gap between college graduates and non-graduated doubled between 1979 and 1997.

"America," concludes Parker, "is becoming a stratified society based on education: a meritocracy."... [This] is exactly what Richard Herrnstein and Charles Murray predicted for America in their controversial book The Bell Curve, published 11 years ago. Herrnstein and Murray noted that intelligence is both measurable and in some large but unquantifiable part hereditary, an unexceptionable finding for experimental psychologists but maddening to social engineers. As college education becomes open to all with the requisite intelligence, graduates will tend to marry graduates and produce children with similar intelligence, while others will tend to produce children without it.

"Unchecked, these trends," Herrnstein and Murray wrote, "will lead the U.S. toward something resembling a caste society, with the underclass mired ever more firmly at the bottom and the cognitive elite ever more firmly anchored at the top."... Are we there yet?... [M]aybe so.

Yet should we be so gloomy?... Not everyone has an emotional need to be on top: How many people, if they thought seriously about it, would really want the burdens of a CEO, however lavish the pay?... As Murray has written, all you need to do to avoid poverty in this country is to graduate from high school, get and stay married, and take any job. The intelligence needed to get a place in the cognitive elite may become more concentrated in a fair meritocratic society, but the personal behaviors needed to find a valued place in society are available to everyone. Meritocracy may mean less mobility, but that is bearable if, as Brooks says, "America is becoming more virtuous."...

The inheritance of inequality is strikingly large in America today: if the father's lifetime was 100% above the American average for his day, the son's lifetime income will on average be 65% above the American average for his day. That's a lot of inherited inequality. Is this unequal distribution of wealth, income, and status in the United States today the result of the fact that a genetic elite has risen to the top in a "fair" IQ-driven meritocracy?

No.

This high degree of inherited inequality isn't because high IQ genetic eliteness genes are being passed down from fathers to sons. As Samuel Bowles and Herbert Gintis (2002), "The Inheritance of Inequality," report:

The direct effect of IQ on earnings... presented in Bowles, Gintis, and Osborne (2002a)... is 0.15, indicating that a [one] standard deviation change in the cognitive score, holding constant... remaining variables... changes... earnings by about one-seventh of a standard deviation.... An estimate of the causal impact of childhood IQ on years of schooling... is 0.53 (Winship and Korenman 1999). A rough estimate of the direct and indirect effect of IQ on earnings... is then... 0.15+(0.53)(0.22) = 0.266....

h is the heritability of IQ.... The value cannot be higher than 1, and most recent estimates are substantially lower, possibly more like a half or less.... [C]ouples tend to be more similar in IQ than would occur by random mate choice.... [The] genetic correlation of parent and offspring [is] (1 + m)/2....

Using the values estimated above, we see that the contribution of genetic inheritance of IQ to the intergenerational transmission of income is (h2(1+m)/2)(0.266)2 = .035(1 + m)h2. If the heritability of IQ were 0.5 and the degree of assortation, m, were 0.2 (both reasonable, if only ball park estimates) and the genetic inheritance of IQ were the only mechanism accounting for intergenerational income transmission, then the intergenerational correlation [of lifetime income] would be 0.01, or roughly two percent the observed intergenerational correlation [of lifetime income between parents and children].

Two percent is simply not a large number. Factors that currently account for two percent of lifetime earnings inequality are simply not yet a big deal, and cannot be responsible for the fall in social mobility.

If there is ever to be a genetic elite, its members will surely exhibit two behavioral traits: a facility with math, and a near-intinctive tendency to do back-of-the-envelope quantitative checks of assertions. We can conclude only one thing from Barone's column: neither he nor his descendents (unless they get really lucky in their mates) are plausible candidates for membership in any "genetic elite".

It is worth pointing out that neither Richard Herrnstein nor Charles Murray are plausible candidates for membership in any "genetic elite" either. Let me turn the microphone over to impeccably right-wing Jim Heckman, who comments on The Bell Curve:

The Book fails for five main reasons. 1. The central premise of this book is the empirically incorrect claim that a single factor - g or IQ - that explains linear correlations among test scores is primarily responsible for differences in individual performance in society at large.... There is much evidence that more than one factor -- as conventionally measured -- is required to explain conventional correlation matrices among test scores.... They do not emphasize how little of the variation in social outcomes is explained by AFQT or g. There is considerable room for factors other than their measure of ability to explain wages and other social outcomes. 2. In their empirical work, the authors assume that AFQT is a measure of immutable native intelligence. In fact, AFQT is an achievement test that can be manipulated by educational interventions. 3. The authors[']... implicit assumption of an immutable g that is all-powerful in determining social outcomes leads them to disregard a lot of evidence that a variety of relevant labor market and social skills can be improved. 4. The authors present no new evidence on the heritability of IQ or other socially productive characteristics.... [T]hey... [compare] IQ... [to] a crude measure of parental environmental influences. This comparison is misleading. It fails to recognize the crudity of their environmental measures and the environmental component that is built into their measure of IQ, which biases the evidence in favor of their position. Moreover, the comparison as they present it is intrinsically meaningless. 5. Finally, the authors' forecast of social trends is pure speculation... the social policy recommendations have an ad hoc flavor to them.... The appeal to Murray's version of communitarianism as a solution to the emerging problem of inequality among persons is a deus ex machina flight of fancy that is not credibly justified.

And take a look at http://www.j-bradford-delong.net/movable_type/2003_archives/001975.html as well.

September 28, 2007

Melanin Level Blogging

From National Geogrqphic:

Skin Online Extra: Melanin, the brown pigment in the skin, acts as a natural sunscreen. It protects against UV, and populations in the tropics are darker skinned since there is more sunlight where they live. UV ages the skin, causes skin cancer, and--most significant to Jablonski and Chaplin's work—-breaks down folate, essential vitamin B needed for cell division and producing new DNA. Pregnant women in particular require large amounts of folate to support rapid cell division in the embryo.... So if a higher melanin level is so beneficial, why isn't everyone dark-skinned?

Jablonski and Chaplin concluded that modern humans... evolved in the tropics, where they were exposed to high UV levels. But... away from the equator, where UV levels are lower, humans became fairer so as to allow enough UV radiation to penetrate their skin and produce vitamin D, the "sunshine vitamin," also obtained from eating fish and marine mammals... essential for maintaining healthy blood levels of calcium and phosphorous, and thus promoting bone growth. Skin color... becomes a balancing act between the evolutionary demands of photo-protection and the need to create vitamin D in the skin.

But things aren't always what they ought to be. That is the case with Eskimos and other inhabitants of northern Alaska and northern Canada. "Looking at Alaska, one would think that the native people should be pale as ghosts," Jablonski says. One of the reasons they're not is that these populations have not lived in the region very long in terms of geological time. But more importantly, their traditional diet is rich in fish and other seafood.... "What's really interesting is that if these people don't eat their aboriginal diets of fish and marine mammals, they suffer tremendously high rates of vitamin D-deficiency diseases such as rickets in children and osteoporosis in adults," Jablonski says...

Interesting that the Eskimos have not lived long enough near the North Pole for their skin color to evolve...

September 09, 2007

Skin: A Natural History

Rick Steckel highly recommends:

Nina Jablonski (2006), Skin: A Natural History (Berkeley: University of California Press: 0520242815)

August 12, 2007

The Perseids Are Here!

And it is a new moon:

SPACE.com -- Shooting Stars! Viewer's Guide to the Perseid Meteor Shower: Though they vary, the Perseids are more predictable than most meteor showers. And while never grand on the scale of historic meteor storms caused by the November Leonid meteor shower, the Perseids are dependable. "From every northern location in the world, a fair number of nice meteors will be seen," says Rainer Arlt, an astronomer at Astrophysikalisches Institut Potsdam in Germany. "The only hindrance is artificial light." The Perseids regularly produce 50 to 150 meteors per hour -- more than 1 per minute -- under dark skies. There have been years when they produced only a handful, and other years when the count soared above 200 per hour. The first records of the shower date back to 36 A.D., with a Chinese account of "more than 100 meteors" being sighted one early morning. This year's peak hourly rate is expected to be on the low end of the range, likely around 50...

June 24, 2007

Annals of Horticulture

Kieran Healy of Tucson, AZ is alarmed:

The Triffid: Because I have no talent for or interest in it, I have been putting off dealing with my garden—-or yard, as we say in America. Although the landscaping is now on the domestic agenda, it may have been a serious error to wait so long. Because, over the past few months, this... thing... has grown up with astonishing rapidity by the side of my house, next to the A/C unit. It has become known as The Triffid. It is now about ten feet tall. Here’s a set of pictures showing its leaves and little tubular yellow flowers in more detail. It has recently acquired a little brother a few feet away.

For those of you who don’t know, I live in Tucson. Given how little water we have falling out of the sky around here, it disturbs me that anything so ugly could grow quite so big, quite so fast. (I feel the same way about Phoenix.) My question to the more horticulturally informed amongst you is, What the hell is it? And when the answer is, inevitably, “Giganticus Weedus Noxiensis,” tell me what combination of axe, chemicals and Wagner will be required to get rid of it.

Air conditioners leak incredible amounts of moisture, even in arid climates like Tucson. This plant has found the one moist spot for acres around, and is responding appropriately.

June 21, 2007

Possibilities for Really Cheap Entertainment

From "As You Know, Bob":

As You Know, Bob: "Ahhh! My hand!": Earlier today (well, last evening, now), the eldest kid and I made a nerd road trip up to the new digital-tv transmitter shack up in the hills. All afternoon, I had been brooding about standing at the foot of the broadcast tower while it was radiating a few megawatts of radio energy into space. So, come sunset, I went down to the basement and dug out a couple of 48" fluorescent bulbs, and threw them and the family into the car. We drove over to the nearest high-voltage power line, and we watched the fireflies while we waited for full dark, and then we played light sabers in the gloaming...

June 12, 2007

Sean Carroll and Coauthors Are... Boltzmann's Brain!

Now playing at a major physics department colloquium series near you:

Sean Carroll: Why Is the Past Different From the Future?

May 29, 2007

Gristmill: Global Warming Zombie Arguments Page

David Roberts directs Matthew Yglesias to the "Global Warming Zombie Arguments" page:

Gristmill: The environmental news blog | Grist: How to Talk to a Climate Skeptic: Below is a complete listing of the articles in "How to Talk to a Climate Skeptic," a series by Coby Beck containing responses to the most common skeptical arguments on global warming. There are four separate taxonomies; arguments are divided by: Stages of Denial, Scientific Topics, Types of Argument, and Levels of Sophistication.

Individual articles will appear under multiple headings and may even appear in multiple subcategories in the same heading...

May 13, 2007

Charlie Stross: Tomorrow's Future Today!

A science fiction writer as technological forecaster. I think his clients got much more than their money's worth. Whether they know what to do with it is another matter:

Charlie's Diary: Shaping the future: Good afternoon, and thank you for inviting me here today. I understand that you're expecting a talk about where the next 20 years are taking us, how far technology will go, how people will use the net, and whether big shoulder pads and food pills will be fashionable. Personally, I'm still waiting for my personal jet car — I've been waiting about fifty years now — and I mention this as a note of caution: while personal jet cars aren't obviously impossible, their non-appearance should give us some insights into how attempts to predict the future go wrong.

I'm a science fiction writer by trade, and people often think that means I spend a lot of time trying to predict possible futures. Actually, that's not the job of the SF writer at all — we're not professional futurologists, and we probably get things wrong as often as anybody else. But because we're not tied to a specific technical field we are at least supposed to keep our eyes open for surprises....

The big surprise in the 20th century — remember that personal jet car? — was the redefinition of progress that took place some time between 1950 and 1970. Before 1800, human beings didn't travel faster than a horse could gallop. The experience of travel was that it was unpleasant, slow, and usually involved a lot of exercise.... Then something odd happened; a constant that had held for all of human history — the upper limit on travel speed — turned into a variable. By 1980, the upper limit on travel speed had risen (for some lucky people on some routes) to just over Mach Two, and to just under Mach One on many other shorter routes. But from 1970 onwards, the change in the rate at which human beings travel ceased — to all intents and purposes, we aren't any faster today than we were when the Comet and Boeing 707 airliners first flew. We can plot this increase in travel speed on a graph — better still, plot the increase in maximum possible speed — and it looks quite pretty; it's a classic sigmoid curve, initially rising slowly, then with the rate of change peaking between 1920 and 1950, before tapering off again after 1970....

One side-effect of faster travel was that people traveled more. A brief google told me that in 1900, the average American traveled 210 miles per year by steam-traction railroad, and 130 miles by electric railways. Today, comparable travel figures are 16,000 miles by road and air — a fifty-fold increase in distance traveled.... We probably don't spend significantly more hours per year aboard aircraft that our 1900-period ancestors spent aboard steam trains, but at twenty times the velocity — or more — we travel much further and consume energy faster while we're doing so.

Around 1950, everyone tended to look at what the future held in terms of improvements in transportation speed. But as we know now, that wasn't where the big improvements were going to come from. The automation of information systems just weren't on the map, other than in the crudest sense — punched card sorting and collating machines and desktop calculators.

We can plot a graph of computing power against time that, prior to 1900, looks remarkably similar to the graph of maximum speed against time. Basically it's a flat line from prehistory up to the invention, in the seventeenth or eighteenth century, of the first mechanical calculating machines. It gradually rises as mechanical calculators become more sophisticated, then in the late 1930s and 1940s it starts to rise steeply. From 1960 onwards, with the transition to solid state digital electronics, it's been necessary to switch to a logarithmic scale to even keep sight of this graph. It's worth noting that the complexity of the problems we can solve with computers has not risen as rapidly as their performance would suggest to a naive bystander. This is largely because interesting problems tend to be complex, and computational complexity rarely scales linearly with the number of inputs; we haven't seen the same breakthroughs in the theory of algorithmics that we've seen in the engineering practicalities of building incrementally faster machines....

We know that Moore's Law has some way to run.... However, it looks unlikely that we'll ever be able to build circuits where the component count exceeds the number of component atoms, so I'm going to draw a line in the sand and suggest that this exponential increase in component count isn't going to go on forever.... The cultural picture in computing today therefore looks much as it did in transportation technology in the 1930s — everything tomorrow is going to be wildly faster than it is today, let alone yesterday. And this progress has been running for long enough that it's seeped into the public consciousness.... All of this is irrelevant. Because computers and microprocessors aren't the future. They're yesterday's future, and tomorrow will be about something else.

I don't expect I need to lecture you about bandwidth.... Improvements in bandwidth are something we get from improvements in travel speed or information processing; you should never underestimate the bandwidth of a pickup truck full of magnetic tapes.... Now, with little or no bandwidth, when it was expensive and scarce and modems were boxes the size of filing cabinets that could pump out a few hundred bits per second, computers weren't that interesting; they tended to be big, centralized sorting machines.... With lots of bandwidth, the picture is very different... a world where there are nearly as many mobile phones in the EU as there are people, where each mobile phone is a small computer, and where the fast 3G, UMTS phones are moving up to a megabit or so of data per second over the air — and the next-generation 4G standards are looking to move 100 mbps of data. So that's where we are now. And this picture differs from the past in a very interesting way: because lots of people are interacting with them.... It's like the difference between having an experimental test plane that can fly at 1000 km/h, and having thousands of Boeings and Airbuses that can fly at 1000 km/h and are used by millions of people every month. There will be social consequences, and you can't easily predict the consequences of the mass uptake of a technology by observing the leading-edge consequences when it first arrives.

It typically takes at least a generation before the social impact of a ubiquitous new technology becomes obvious. We are currently aware of the consequences of the switch to personal high-speed transportation — the car — and road freight distribution. It shapes our cities and towns, dictates where we live and work, and turns out to have disadvantages our ancestors were not aware of, from particulate air pollution to suburban sprawl and the decay of city centers in some countries. We tend to be less aware of the social consequences.... It is no longer rare to live a long way from relatives, workplaces, and educational institutions. Countries look much more homogeneous... because community has become delocalized from geography.... This is the effect of cheap, convenient high speed transport.

Now, we're still in the early stages of the uptake of mobile telephony, but some lessons are already becoming clear.... Mobile phones in contrast connect people, not places.... This has interesting social effects. Sometimes it's benign; you never have to wonder if someone you're meeting is lost or unable to find the venue, you never lose track of people. On the other hand, it has bad effects... bullying via mobile phone is rife in British schools.... It's even harder to predict the second-order consequences of new technologies when they start merging at the edges, and hybridizing. A modern cellphone is nothing like a late-1980s cellphone....

Putting it all together: Let's look at our notional end-point where the bandwidth and information processing revolutions are taking us — as far ahead as we can see... about 25-50 years away. Firstly, storage. I like to look at the trailing edge; how much non-volatile solid-state storage can you buy for, say, ten euros?... Today, I can pick up about 1Gb of FLASH memory in a postage stamp sized card for that much money. fast-forward a decade and that'll be 100Gb. Two decades and we'll be up to 10Tb.

10Tb is an interesting number. That's a megabit for every second in a year... enough to store a live DivX video stream... of everything I look at for a year.... It's a life log; replay it and you've got a journal file for my life.... Why would anyone want to do this?... Initially, it'll be edge cases. Police officers on duty: it'd be great to record everything they see, as evidence. Folks with early stage neurodegenerative conditions like Alzheimers: with voice tagging and some sophisticated searching, it's a memory prosthesis. Add optical character recognition on the fly for any text you look at, speech-to-text for anything you say, and it's all indexed and searchable. "What was the title of the book I looked at and wanted to remember last Thursday at 3pm?" Think of it as google for real life.

We may even end up being required to do this, by our employers or insurers.... (There are also a whole bunch of very nasty drawbacks to this technology — I'll talk about some of them later, but right now I'd just like to note that it would fundamentally change our understanding of privacy, redefine the boundary between memory and public record, and be subject to new and excitingly unpleasant forms of abuse....)

Now, this might seem as if it's generating mountains of data — but really, it isn't. There are roughly 80 million people in Germany. Let's assume they all have lifelogs. They're generating something like 10Tb of data each, 10^13 bits, per year, or 10^21 bits for the entire nation every year. 10^23 bits per century.... My model of a long term high volume data storage medium is a synthetic diamond. Carbon occurs in a variety of isotopes, and the commonest stable ones are carbon-12 and carbon-13, occurring in roughly equal abundance... a device that will create a diamond, one layer at a time, atom by atom, by stacking individual atoms — and with enough discrimination to stack carbon-12 and carbon-13, we've got a tool for writing memory diamond. Memory diamond is quite simple: at any given position in the rigid carbon lattice, a carbon-12 followed by a carbon-13 means zero, and a carbon-13 followed by a carbon-12 means one.... Sixty kilograms can store a lifelog for the entire human species for a century.... The Google cluster, as of mid-2006, was estimated to have 4 petabytes of RAM. In memory diamond, you'd need a microscope to see it. So, it's reasonable to conclude that we're not going to run out of storage any time soon.

Now, capturing the data, indexing and searching the storage, and identifying relevance — that's another matter entirely, and it's going to be one that imprint the shape of our current century on those ahead, much as the great 19th century infrastructure projects (that gave our cities paved roads and sewers and railways) define that era for us. I'd like to suggest that really fine-grained distributed processing is going to help; small processors embedded with every few hundred terabytes of storage. You want to know something, you broadcast a query: the local processors handle the problem of searching their respective chunks of the 128-bit address space, and when one of them finds something, it reports back. But this is actually boring. It's an implementation detail. What I'd like to look at is the effect this sort of project is going to have on human civilization....

[W]e're going to end up with — at the least — lifelogs, ubiquitous positioning and communication services, a civilization where every artifact more complicated than a spoon is on the internet and attentive to our moods and desires, cars that drive themselves, and a whole lot of other mind-bending consequences. All within the next two or three decades. So what can we expect of this collision between transportation, information processing, and bandwidth?

We're already living in a future nobody anticipated. We don't have personal jet cars, but we have ridiculously cheap intercontinental airline travel.... [W]e do, in fact, require more than four computers for the entire planet.... An increasing number of people don't have telephone lines any more — they rely on a radio network instead.... Hands up, anyone in the audience, who owns a slide rule? Or a set of trigonometric tables? Who's actually used them, for work, in the past year? Or decade?... [T]he pocket calculator and the computer algebra program have effectively driven those tools into obsolescence. This happened some time between the early 1970s and the late 1980s. Now we're about to see a whole bunch of similar and much weirder types of obsolescence....

[W]e'll be raising a generation of kids who don't know what it is to be lost, to not know where you are and how to get to some desired destination from wherever that is. Think about that. "Being lost" has been part of the human experience ever since our hominid ancestors were knuckle-walking around the plains of Africa. And we're going to lose it — at least, we're going to make it as unusual an experience as finding yourself out in public without your underpants. We're also in some danger of losing the concept of privacy.... [W]e're already seeing some interesting tendencies in the area of attitudes to privacy on the internet among young people, under about 25; if they've grown up with the internet they have no expectation of being able to conceal information about themselves. They seem to work on the assumption that anything that is known about them will turn up on the net sooner or later, at which point it is trivially searchable....

It'd be nice to tie your lifelog into your blog and the rest of your net presence, for your personal convenience. And at first, it'll just be the kids who do this.... Well, it'll be the kids and the folks on the Sex Offenders Register who're forced to lifelog as part of their probation terms.... Okay, it'll also be people in businesses with directors who want to exercise total control over what their employees are doing, but they don't have to work there ... yet.... The political hazards of lifelogging are, or should be, semi-obvious.... If you dig hard enough, everyone is a criminal....

And then there's history.... Barring a catastrophic universal collapse of human civilization — which I should note was widely predicted from August 1945 onward, and hasn't happened yet — we're going to be laying down memories in diamond that will outlast our bones, and our civilizations, and our languages. Sixty kilograms will handily sum up the total history of the human species, up to the year 2000. From then on... we still don't need much storage, in bulk or mass terms. There's no reason not to massively replicate it and ensure that it survives into the deep future.... [W]e're going to give future historians a chance to build an annotated, comprehensive history of the entire human race. Charting the relationships and interactions between everyone who's ever lived since the dawn of history — or at least, the dawn of the new kind of history that is about to be born this century.... I expect to live long enough to be lifelogging, but my first forty or fifty years are going to be very poorly documented, mere gigabytes of text and audio to document decades of experience. What I can be fairly sure of is that our descendants' relationship with their history is going to be very different from our own, because they will be able to see it with a level of depth and clarity that nobody has ever experienced before.

Meet your descendants. They don't know what it's like to be involuntarily lost, don't understand what we mean by the word "privacy", and will have access (sooner or later) to a historical representation of our species that defies understanding. They live in a world where history has a sharply-drawn start line, and everything they individually do or say will sooner or later be visible to everyone who comes after them, forever. They are incredibly alien to us. And, yet, these trends are emergent from the current direction of the telecommunications industry, and are likely to become visible as major cultural changes within the next ten to thirty years.

None of them require anything but a linear progression from where we are now, in a direction we're already going in. None of them take into account external technological synergies, stuff that's not obviously predictable like brain/computer interfaces, artificial intelligences, or magic wands. I've purposefully ignored discussion of nanotechnology, tissue engineering, stem cells, genomics, proteomics, the future of nuclear power, the future of environmentalism and religion, demographics, our environment, peak oil and our future energy economy, space exploration, and a host of other topics.

As projections of a near future go, the one I've presented in this talk is pretty poor. In my defense, I'd like to say that the only thing I can be sure of is that I'm probably wrong, or at least missing something as big as the internet, or antibiotics.

(I know: driverless cars. They're going to redefine our whole concept of personal autonomy. Once autonomous vehicle technology becomes sufficiently reliable, it's fairly likely that human drivers will be forbidden, except under very limited conditions. After all, human drivers are the cause of about 90% of traffic accidents: recent research shows that in about 80% of vehicle collisions the driver was distracted in the 3 seconds leading up to the incident. There's an inescapable logic to taking the most common point of failure out of the control loop — my freedom to drive should not come at the risk of life and limb to other road users, after all. But because cars have until now been marketed to us by appealing to our personal autonomy, there are going to be big social changes when we switch over to driverless vehicles.

(Once all on-road cars are driverless, the current restrictions on driving age and status of intoxication will cease to make sense. Why require a human driver to take an eight year old to school, when the eight year old can travel by themselves? Why not let drunks go home, if they're not controlling the vehicle? So the rules over who can direct a car will change. And shortly thereafter, the whole point of owning your own car — that you can drive it yourself, wherever you want — is going to be subtly undermined by the redefinition of car from an expression of independence to a glorified taxi. If I was malicious, I'd suggest that the move to autonomous vehicles will kill the personal automobile market; but instead I'll assume that people will still want to own their own four-wheeled living room, even though their relationship with it will change fundamentally. But I digress ...)

Anyway, this is the future that some of you are building. It's not the future you thought you were building, any more than the rocket designers of the 1940s would have recognized a future in which GPS-equipped hobbyists go geocaching at weekends. But it's a future that's taking shape right now, and I'd like to urge you to think hard about what kind of future you'd like your descendants — or yourselves — to live in. Engineers and programmers are the often-anonymous architects of society, and what you do now could make a huge difference to the lives of millions, even billions, of people in decades to come...

April 21, 2007

"Reduction of the Wave Packet" and Other Mumbo-Jumbo

Effects-that-happen-before-causes department:

Scientific American: Quantum Erasing in the Home.

I am not sure whether this is as disturbing or more disturbing than Bell's inequality.

April 06, 2007

Checking that Space-Time Is Locally Pretty Flat...

6:47 AM: the reported time of sunrise in Lafayette, California, on April 6, 2007.

6:59 AM: the moment the sun first peaked over the top of Mt. Diablo on April 6, 2007.

Mt. Diablo has 3,750 feet on us, and is about 15 miles x 5000 feet/mile = 75,000 feet away, for a sine value of 1/20, which is an angle of 1/20 radians. The earth rotates 1 radian in 12/π hours, so the sun travels 1/20 radians in 3/5π hours = 11 minutes.

So, yes, locally, space-time around here is pretty flat so that plane trigonometry approximately holds...

April 01, 2007

Hoisted from the Archives: Information Technology and the Future of Society: My CITRIS Kickoff Speech

My CITRIS kickoff speech: Information Technology and the Future of Society (Hoisted from the Archives)

Information Technology and the Future of Society: For perhaps 9000 years after the beginnings of agriculture the overwhelming proportion of human work lives were spent making things: growing crops, shearing sheep, spinning yarn, weaving cloth, throwing pots, cutting down trees, copying books, and so on, and so forth. Technology did improve enormously over those 9000 years: contrast the clothes-making technology at the disposal of Henry VIII of England with that of Rameses II of Egypt three thousand years before; contrast the triple-crop paddy-irrigated rice- and water-control-based agriculture of the Yangtze Delta in eighteenth-century China with the scratch-the-soil-with-a-hoe agriculture of two thousand years before. But as Thomas Robert Malthus first wrote in the 1790s, rising populations had put enough pressure on scarce natural resources to offset the benefits of better technology and keep living standards nearly constant for the people if not for the elite: American President Thomas Jefferson in 1803 A.D. certainly enjoyed a higher standard of living than Roman Consul Marcus Tullius Cicero in 63 B.C. But did Jefferson's slaves enjoy a higher standard of living than Cicero's? A large amount of archeological evidence has not yet found significant differences.

For the past two hundred and fifty years, since the start of the Industrial Revolution, the productivity of those workers who make things has exploded. Hand-spinners in the eighteenth century took 50,000 hours--20 full work-years--to spin 100 lbs of cotton into thread (Freeman and Louca (2001), and spinning of one sort or another took up perhaps 5% of total labor-time. Today it takes 40 work hours to spin 100 lbs. of cotton: a more than thousand-fold amplification of productivity in this one task.

As our productivity at growing crops and making things has exploded, demand for the things we make has grown too, but not fast enough to keep the crop-growing, food-cooking, mineral-extracting, clothes-making, box-carrying, and other goods-producing share of our economy's labor force from falling. Today those who in any earlier age would be classified as "production workers"--and would have been the overwhelming majority of the labor force--are perhaps 20% of our economy, and the bulk of them are better characterized as machine-watchers and machine-fixers. According to Stanford's Robert Hall, as early as 1980 there were twice as many salesmen in Ford-selling auto dealerships as there were assembly-line workers employed by Ford Motor Company.

So what are the rest of us--the other 80%--doing? In a sense, we all--from U.C. professors to chief technical officers to xerox operators, Ford Salesmen, cashiers, and parking-lot attendants--are and have long been information workers: people whose jobs are, if we examine them closely, largely concerned with determining what exactly the goods-producing sectors should make, how it should be made, where it should go, and to whom it should be distributed--and that is leaving aside the large chunk of our economy that is symbolic communication as an end in itself.

Today we see--not yet sharply, not yet clearly, but no longer dimly--the prospect that the ongoing technological revolutions in data processing and data communications will do for the "information" sectors of the economy something like what the Industrial Revolution did for goods-producing sectors like cotton spinning. As Steve Cohen over in the City Planning department here likes to say, you are now building the equivalent of the industrial-age tools for shaping and handling matter, but you are building tools for thought (Cohen, DeLong, and Zysman (2001)). And if we can figure out how to make these tools for thought fulfill their promise, they should produce a quantum jump in our technological power, economic productivity, and--we hope--quality of life of as many energy levels as the jump of the Industrial Revolution itself.

But there are major problems of social engineering and organizational design that stand in our way. A century or so ago, at the height of the Industrial Revolution, the market economy turned out to have an extraordinarily good fit with the developing industrial technologies of goods-making. It provided a framework of social organization that was extraordinarily effective in providing people with incentives to carry on activities that generated rapid technological development, capital accumulation, and economic growth.

An effective form of social organization faces decision makers with incentives that mirror the impacts of their actions on society as a whole. Because the goods produced by industrial technologies were rival--that is, could only be of use to one person at one time--each person's use of such a good diminished the supply available to the rest of society. Thus it made sense from the viewpoint of efficient distribution to require that users pay a price--diminish their ability to acquire and use other resources--for commodities. And those prices paid then gave producing organizations the resources to carry on and expand their activities. Because the goods produced were excludable--that is, it was by-and-large straightforward to limit control over use to those authorized--it was easy and straightforward to push decision-making outward from the clueless bureaucratic center to the periphery where people on the ground might actually have a good sense of the situation, and of what should be done.

These three advantages--earmarking additional resources for successful and efficient production organizations, providing users with incentives for economically-efficient distribution, and decentralization of decision-making to where the knowledge was likely to be--were delivered by accident by the trade-and-market economic structure of Adam Smith.

But now as we try to realize the technological promise of information technologies, the old forms of economic organization no longer have a natural fit with the requirements of technological development and economic growth. Once an "information good" has been produced, sharing it with another person doesn't reduce the rest of society's resources and opportunities. So there is no efficient-distribution reason to charge a price for it. But where then does the flow of signals to assess which production organizations are efficient come from? In an earlier age we would be more inclined to rely on government funding, but these days we have a keen awareness of the advantages in applied development at least of semi-Darwinian competitive mechanisms, where investigators are responsible to investors seeking profits and not to committees seeking whatever committees seek.

Moreover, it is only with difficulty that information goods are excludable. But if their use can't be restricted to authorized users, then the entire market-as-a-social-calculating-and-signalling mechanism simply breaks down. Unfortunately, attempts to make information goods "excludable" by various forms of use protection waste valuable time and energy: I shudder at the memory of having spent two hours on hold during three phone calls, and having spent another two hours of my time rebooting and reading installation error messages the last time I tried to upgrade one of the Adobe programs--GoLive--on this laptop. I doubt I'll ever be able to face the prospect of buying another Adobe program again.

Two things, however, are clear. First, caught between "government failures" in applied research and the ever-larger "market failures" that will be created as the characteristics of information-age goods clash with the requirements for market efficiency, intermediate forms of organization--like large publicly-funded research universities--need to play an even larger role in research and development in the future than they have in the past. Projects like CITRIS promise the benefits of government research--the wide distribution of knowledge and the acceleration of cumulative research--and the benefits of private entrepreneurship--the willingness to take risks and investigate large numbers of potential development projects rather than just those that have won the stamp of approval of a single central committee. It is the task of chancellors and deans, of course, to make sure that projects like CITRIS don't wind up producing the drawbacks of both forms of organization: the strangulation by bureaucratic red-tape and committee infighting of government, combined with the restrictions on the distribution of information and the use of products that make a large share of private-sector development work duplicative of what has already been done.

Second, realizing the promise of the Societal-Scale Information Systems that are the Holy Grails of this quest will turn out to be a problem of social engineering as well as computer science. I have long wondered just why it was that the first half of the 1980s were the era of the IBM PC rather than of the DEC VAX--when the hardware cost of a VAX was, as best as I can guess, no more than 1/5 that of the equivalent number of 8086 machines, and when thanks largely to Berkeley UNIX there was no comparison at all in software. The answer lies somewhere in social engineering--that somehow paying out five times as much for inferior software was worth not having to wrestle with established MIS bureaucracies. But what the answer is I am not sure.

So let me turn this into a sales pitch for the social scientists at Berkeley interested in information technology--from Manuel Castells in sociology to Pam Samuelson and Mark Lemley at the law school to John Zysman and Steve Weber in political science to Hal Varian and his simians to Suzanne Scotchmer at public policy to the industrial organization and antitrust barons of the business school and the economics department--Glenn Woroch, Rich Gilbert, Dan Rubinfeld, Mike Katz, Carl Shapiro--and a host of others. I do not know of a place with a more vibrant and smarter community of scholars interested in the social engineering aspects of information technology.

And I do not know of a better place than this to assemble the resources to build the Societal-Scale Information Systems that can make information technologies realize their promise.

March 30, 2007

Today's Whorfian Linguistic Blogging: Country Names in Chinese

Jim Fallows points out a feature of the Chinese language:

It's not bad that they [call themselves Zhongguo] 中国 ["central country"] as long as they keep calling us 美国 "beautiful country"...

March 13, 2007

The Muffin Joke Is So Funny!

Jack Balkin says that the muffin joke is so funny:

Balkinization: Repeat after me: The Muffin Joke is NOT funny: This article [by John Tierney] in the New York Times asserts that the muffin joke is not funny; we only laugh at it because we want to get along with other people in social situations.I disagree. When I first heard the muffin joke, I thought it was very funny. Still do.... The muffin joke is funny because it is self-undermining. The punch line undermines the suspension of disbelief that the joke's narrative presumes. It is kind of like breaching the fourth wall in drama. It's like the line in Dr. Strangelove "You can't fight in here. This is the War Room!" or the Atheist Hymn we came up with in high school: "There is no God, there is no God, He told me so himself"...

I agree: I think the muffin joke is so funny. Why, it is even funny when told by as low-status an individual as John Tierney:

What’s So Funny? Well, Maybe Nothing - New York Times: Plato, Aristotle, Hobbes, Kant, Schopenhauer, Freud and the many theorists who have tried to explain laughter based on the mistaken premise that they’re explaining humor. Occasionally we’re surprised into laughing at something funny, but most laughter has little to do with humor. It’s an instinctual survival tool for social animals, not an intellectual response to wit. It’s not about getting the joke. It’s about getting along....

“Laughter is an honest social signal because it’s hard to fake,” Professor Provine says. “We’re dealing with something powerful, ancient and crude. It’s a kind of behavioral fossil showing the roots that all human beings, maybe all mammals, have in common.”... Professor Panksepp thinks the brain has ancient wiring to produce laughter so that young animals learn to play with one another. The laughter stimulates euphoria circuits in the brain and also reassures the other animals that they’re playing, not fighting. “Primal laughter evolved as a signaling device to highlight readiness for friendly interaction,” Professor Panksepp says. “Sophisticated social animals such as mammals need an emotionally positive mechanism to help create social brains and to weave organisms effectively into the social fabric.”...

Which brings us back to the muffin joke. It was inflicted by social psychologists at Florida State University on undergraduate women.... The women put in the underling position were a lot more likely to laugh at the muffin joke (and others almost as lame) than were women in the control group.... In some cases the woman watching was designated the boss; in other cases she was the underling or a co-worker of the person on the videotape. When the woman watching was the boss, she didn’t laugh much at the muffin joke. But when she was the underling or a co-worker, she laughed much more, even though the joke-teller wasn’t in the room to see her. When you’re low in the status hierarchy, you need all the allies you can find, so apparently you’re primed to chuckle at anything even if it doesn’t do you any immediate good...

March 01, 2007

Earthquake! (Epicenter Two Miles North; Magnitude 5?)

An earthquake! 8:40 PM PST March 1, 2007. Epicenter apparently two miles due north, by Acalanes High School, at the corner of Pleasant Hill and Deer Hill Road. I always thought we were roughly halfway between the Hayward and the Calaveras faults, but clearly we are on something.

Within twelve minutes after the earthquake, 1343 people had sent their internet reports to the United States Geological Survey. 4851 responses within 20 minutes. That's a pretty good response, IMHO.

February 11, 2007

More Bad News on Global Climate Change

John Fialka says that the IPCC report was too optimistic:

Global-Warming Report Gets U.S. Emphasis - WSJ.com: U.S. government scientists Friday said the long-term outlook for global warming may be more dire than suggested by this week's United Nations' report, which they say doesn't fully address the impact of clouds and melting glaciers. Recent evidence of accelerated melting of glaciers in Greenland and the Antarctic ice cap came too late to be included in the report released Thursday by the U.N.-sponsored Intergovernmental Panel on Climate Change.

Glaciers are among the largest sources of fresh water in the world and are contributing to rising ocean levels. Rising sea levels could expose population centers bordering the ocean to more storm damage and could require evacuation in some areas. But the computer models used for the IPCC report based their predictions only on the results of heating of the existing water in the world's oceans, causing the oceans to expand and sea levels to rise, said Tom Delworth, a climate modeler for the National Oceanic and Atmospheric Administration, the government agency in charge of climate science and weather service.

The IPCC report predicts sea levels will rise by between one to two feet over the next 100 years. Mr. Delworth said there remains "much more uncertainty" over how much accelerated melting of glaciers might add to that.

A second area of continuing uncertainty has to do with the impact of clouds on climate change.... [T]he supercomputers the agency uses to model the effect on the earth's climate -- which were also used for the IPCC report -- aren't detailed or fast enough to predict how much clouds are accelerating the problem...

February 06, 2007

Why Oh Why Can't We Have a Better Press Corps? (Washington Post/Anne Applebaum Edition)

Each day that the Washington Post publishes Anne Applebaum diminishes its longevity by a week. Here she drives Kevin Drum into shrill unholy madness:

The Washington Monthly: IT'S A NEWSPAPER, NOT A MIRROR....I'm really tired of this kind of thing. Here is Anne Applebaum's sneering column today about the latest IPCC report on global warming:

"Worse than we thought." The headline in the British Guardian newspaper on Saturday was almost gloating about the bad news. The tone of the article that followed was no different....Among the coastal cities threatened by the higher ocean levels caused by melting ice caps, the paper noted -- not without a degree of satisfaction -- are London, New York, Tokyo and Hong Kong.

"Almost gloating"? I defy you to read either the headline or the Guardian's brief report (here) and find even a hint of gloating. Sure, the news they're reporting is dismal, but that's because the IPCC report was pretty dismal and they're reporting what the IPCC report actually said. As for the melting ice caps, the Guardian summarizes the likely consequences of a 4 degree rise in global temperature at the end of the piece. Here's the full paragraph on flooding:

Sea levels rise by up to 59cm. Bangladesh and Vietnam worst hit, along with coastal cities such as London, New York, Tokyo, Hong Kong, Calcutta and Karachi. 1.8m people at risk from coastal flooding in Britain alone.

This was reported "not without a degree of satisfaction"? She must be kidding. That's as telegraphic a style as you're ever likely to see in a modern newspaper. I recommend that in the future Applebaum leave the faux psychoanalysis to Charles Krauthammer. It suits him better.


The Washington Monthly: GLOBAL WARMING, TAKE 2....Now that I've vented my annoyance with Anne Applebaum's mind reading performance in today's Post, a reader suggests I should follow this up by mentioning that her substantive position is actually perfectly reasonable:

Any lasting solutions will have to be extremely simple....Fortunately, there is such a solution....It's called a carbon tax, and it should be applied across the board to every industry that uses fossil fuels, every home or building with a heating system, every motorist, and every public transportation system. Immediately, it would produce a wealth of innovations to save fuel, as well as new incentives to conserve. More to the point, it would produce a big chunk of money that could be used for other things.

Quite so, and virtually every serious analyst I've read agrees that a carbon tax is one of the primary building blocks for any effective global warming policy. Considering the results of this poll (see page 2), it's especially welcome to hear this kind of sensible talk from a conservative.

Of course, this makes the mockery in Applebaum's opening paragraph even more inexplicable. If she agrees that global warming is real, and that it may have catastrophic consequences, and that serious action is justified to fight it, why was she so dismissive of a newspaper report that implied the exact same thing? Very mysterious.

February 02, 2007

IPCC Global Warming Projections (as of 2/2007)

Climate model estimates of twenty-first century global warming are still fuzzy to a factor of three--plus the uncertainty about what policies will be, and what the effects of policies on emissions will be. But they are a lot less fuzzy than they were a decade ago.

The prospect of a world that is five degrees warmer in a century is unsettling. More unsettling is what happens after 2100.

Everything You Ever Wanted to Know About Climate Change

Felix Salmon on global warming:

RGE - IPCC report released: Everything you ever wanted to know about climate change: The IPCC Report is out. In the New York Times, Elisabeth Rosenthal and Andy Revkin have a good summary of the summary:

If carbon dioxide concentrations reach twice their pre-industrial levels, the report said, the climate will likely warm some 3.5 to 8 degrees. But there would be more than a one in 10 chance of much greater warming, a situation many earth scientists say poses an unacceptable risk. Many energy and environment experts see such a doubling as a foregone conclusion sometime after midcentury unless there is a prompt and sustained shift away from the 20th-century pattern of unfettered burning of coal and oil, the main sources of carbon dioxide, and an aggressive quest for expanded and improved nonpolluting energy options.

They also note that the IPCC, by its very nature, errs on the side of conservatism:

Scientists have recently reported evidence that the glaciers and ice sheets in the Arctic and Antarctic could flow seaward far more quickly than estimated in the past and have proposed risks to coasts could be much more imminent. But the I.P.C.C. is proscribed by its charter from entering into speculation and so could not include such possible instabilities in its assessment.

Meanwhile, Brad DeLong points to a story about how Exxon-Mobil-funded denialists are already trying to pay scientists to "undermine" the report -- since clearly none of the thousands of scientists who worked on the IPCC report have