197 posts categorized "Science"

June 13, 2009

Nerd Tourism

Leila Abu-Saba sends us to Alison Chaiken's Technical Tourist's Guide to the San Francisco Bay Area:

Technical Tourist: Sick of netnews? Caught up on all your blogs? You could always exercise, floss, call your mom or perform a breast self-exam. Nah. Perhaps you need:

The Technical Tourist's Guide to the San Francisco Bay Area

  1. Tour the Geysers, Calpine's geothermal generation plant in Middletown, Lake County. See giant turbines and clouds of sulfuric acid steam! The link is, ahem, optimized for a non-Mozilla browser, so you can also call toll-free (866)-GEYSERS for more information.

  2. Visit the GM-Toyota NUMMI auto manufacturing plant in southern Fremont. There are fascinating robot welders and giant metal stampers. The tour is quite suitable for children in my unexpert opinion.

  3. Particle accelerators are big fun. Consider an outing to the Advanced Light Source in Berkeley or the Stanford Linear Accelerator. The LBNL tour may also visit other facilities such as the National Center for Electron Microscopy, the Environmental Energy Technologies Division and the Center for Beam Physics.

  4. For more gigantic steel structures, check out the Port of Oakland tour. Enjoy giant cranes and a boat ride too. (Thanks to Meg.) To get an even closer look at the cranes (and a fine view of San Francisco as well), walk around and have a picnic at Middle Harbor Shoreline Park.

  5. The Menlo Park branch of the USGS is a reliable source of entertainment. Every couple of years there's an Open House. In the meantime browse the quads, fault maps and satellite photos at the Earth Science Information Center, which is located in Building 3 at 345 Middlefield Road and is open Monday through Friday from 8 to 4.

  6. Meditate on earthquakes while hiking the San Andreas Fault Trail in Palo Alto or seeing the Loma Prieta Epicenter in Forest of Nisene Marks. (I'll confess that the Nisene Marks hike is a bit dull: miles and miles of trail through dark second-growth redwood forest.) Many more earthquake-related outings are described in Geologic Trips: San Francisco and the Bay Area, which I highly recommend. Another book of interest is Geology Trails of Northern California, which I haven't yet had the chance to purchase. If you're really interested in local seismology field trips, send for the Field Trip Guidebooks from the Conferences on Earthquake Hazards in the Eastern San Francisco Bay Area that were sponsored by Cal State East Bay.

  7. Take the ferry to Sausalito and view the San Francisco Bay Model. (Thanks to KML.)

  8. While you're in Marin, visit the Nike Missile Base in the Headlands. (Thanks to KML.)

  9. The Hiller Aviation Museum specializes in early helicopters which range from the admirable to the laughable. The annual Vertical Challenge should not be missed. (Thanks to KML.)

  10. Speaking of aviation, the Moffett Field Museum is now open Weds-Sat from 10-2. Learn all about Moffett's history with lighter-than-air craft.

  11. The Computer History Museum in Mountain View is full of treasures. Besides the Visible Storage there's an excellent speaker series. (Until the interpretive material at the exhibits is expanded, this one really is for nerds only.)

  12. The San Jose Astronomical Association will invite you to a star party. Alternatively drive up Mount Hamilton and take in the Lick Observatory. In the summer Lick has astronomical lectures and public viewing plus concerts. And the Chabot Space and Science Center in Oakland has free public telescope viewing every Friday and Saturday night. (Thanks to Leila.)

  13. Arthur Frommer rates the San Francisco Cable Car Museum as "one of the top ten free attractions in the world." (Thanks to Leila.)

  14. Take the Hazel-Atlas silica mine tour at the Black Diamond Mines in Antioch. There's also a lot of old mining equipment at Almaden Quicksilver County Park in San Jose. (Thanks to KML.)

  15. We still haven't gotten around to visiting the Intel Museum in Santa Clara or the Exploration Center at NASA Ames in Mountain View. South San Jose hosts the Magnetic Disk Heritage Center but there's no indication when it's open.

  16. A bit further afield, the California State Railroad Museum looks appealing. Of course you could take the remarkably scenic and comfortable Amtrak Capitol Corridor line to get there. Closer to home you can ride the Niles Canyon Railway in Fremont or the Roaring Camp Railroad in Felton. If you still have railfanning on the brain, consider the Western Railway Museum on Highway 12 between Suisun and Rio Vista. (Thanks to Mark.)

  17. No matter how you feel about our California water politics, the acqueducts and dams are certainly an engineering marvel. The Sunol water temple is open 9 AM to 3 PM Monday through Friday. The similar Pulgas Water Temple, adjacent to the Crystal Springs Reservoir, has more reasonable hours but no longer has any water. (Thanks to Mark and, come to think of it, KML.)

  18. The American Society for Mechanical Engineering has a Northern California Landmarks in Mechanical Engineering web site. Some of the sites can be visited in person while others just have cool photos. (Thanks to LSK.)

  19. Visit the California Academy of Science in their temporary home at 875 Howard Street in San Francisco and be amazed by the ant colonies. The museum is open every day from 10 to 5. (Thanks to LSK.)

  20. In the recent past I've seen advertisements for tours of the Altamont windfarm and the Cargill salt processing facility in Newark, but I can no longer find information about these excursions. Anyone?

  21. If you care about engineering history, check out the local chapter of the Society for Industry Archeology.

  22. If all else fails, go to Central Computer and hang out. CC employs staff who have actually used computers before.

  23. Know of any Bay Area technical highlights that I've omitted? Have a similar web page highlighting nerdly landmarks in another urban area? Please send email.

alchaiken@gmail.com

June 11, 2009

Somewhere in Philadelphia, an Opossum Is Having a Very Weird Time...

If this is genuine, that is:

Safari

May 30, 2009

Just-So Story of teh Aeon

iayork:

How the aphid got its wings | Mystery Rays from Outer Space: While nothing can match the pure undiluted awesomeness that is the parasitoid wasp/bracovirus symbiosis[1], there are other symbioses that are at least in the same ballpark.  The latest one I’ve learned about is the relationship between a densovirus and the rosy apple aphid[2]. I can’t do better than to quote the abstract:

Winged morphs of aphids are essential for their dispersal and survival. We discovered that the production of the winged morph in asexual clones of the rosy apple aphid, Dysaphis plantaginea, is dependent on their infection with a DNA virus, Dysaphis plantaginea densovirus (DplDNV). Virus-free clones of the rosy apple aphid, or clones infected singly with an RNA virus, rosy apple aphid virus (RAAV), did not produce the winged morph in response to crowding and poor plant quality. DplDNV infection results in a significant reduction in aphid reproduction rate, but such aphids can produce the winged morph, even at low insect density, which can fly and colonize neighboring plants. Aphids infected with DplDNV produce a proportion of virus-free aphids, which enables production of virus-free clonal lines after colonization of a new plant.[2]

So without the virus, the aphids don’t grow wings, and they’re not able to disperse to new sites. When infected, they can sprout wings, and spread to a new site. Presumably without a flying aphid to carry them the virus can’t disperse, either.

Apart from anything else, my kids, having learned about this at dinner[3], are now hoping to have their wings turned on the next time they’re infected with a virus.

  1. Bioweaponized wasps shooting mutualistic immune suppressive viruses at their prey! Pew! Pew! Pew!
  2. Ryabov, E., Keane, G., Naish, N., Evered, C., & Winstanley, D. (2009). Densovirus induces winged morphs in asexual clones of the rosy apple aphid, Dysaphis plantaginea Proceedings of the National Academy of Sciences, 106 (21), 8465-8470 DOI: 10.1073/pnas.0901389106
  3. We have interesting dinner conversations at my house

May 08, 2009

Obama's First 100 Days

And the four timescales on which he must act:

  • The three-year time-scale: the economic crisis.
  • The fifteen-year time scale: the health cost crisis.
  • The seventy-five-year time scale: the global power crisis.
  • The 375-year time scale: the global climate crisis.

http://www.j-bradford-delong.net/2009_mov/20090507_100_days.m4a

March 27, 2009

Cosma Shalizi Waterboards the Rev. Dr. Thomas Bayes

Bayesian inference gone horribly wrong. Cosma Shalizi:

Some Bayesian Finger-Puzzle Exercises, or: Often Wrong, Never In Doubt: The theme here is to construct some simple yet pointed examples where Bayesian inference goes wrong, though the data-generating processes are well-behaved, and the priors look harmless enough. In reality, however, there is no such thing as an prior without bias, and in these examples the bias is so strong that Bayesian learning reaches absurd conclusions....

Example 1:... The posterior estimate of the mean [of the generating process] thus wanders from being close to +1 to being close to -1 and back erratically, hardly ever spending time near zero, even though (from the law of large numbers) the sample mean [of the sufficient statistic] converges to [the true mean of the generating process of] zero....

Example 2:... As we get more and more data, the sample mean converges almost surely to zero (by the law of large numbers), which here drives the mean and variance of the posterior to zero almost surely as well. In other words, the Bayesian becomes dogmatically certain that the data are distributed according to a standard Gaussian with mean 0 and variance 1. This is so even though the sample variance almost surely converges to the true variance, which is 2. This Bayesian, then, is certain that the data are really not that variable, and any time now will start settling down....

It is a violation of the Geneva Convention to force a Bayesian statistician to begin analysis with a prior that places a weight of zero on the true underlying generating process, isn't it?

March 18, 2009

Michael Kinsley Is Not Happy

Michael Kinsley confronts the fact that Ross Douthat doesn't care more than a smidgeon about whether Kinsley lives or dies from Parkinson's disease:

New York Times' New Columnist Is Full of It - The Daily Beast

March 14, 2009

Uncertainty in Climate Science Is Not Our Friend

From the Economist:

Economist.com: SCIENCE and politics are inextricably linked. At a scientific conference on climate change held this week in Copenhagen, four environmental experts announced that sea levels appear to be rising almost twice as rapidly as had been forecast by the United Nations just two years ago. The warning is aimed at politicians who will meet in the same city in December to discuss the same subject and, perhaps, to thrash out an international agreement to counter it.

The reason for the rapid change in the predicted rise in sea levels is a rapid increase in the information available. In 2007, when the Intergovernmental Panel on Climate Change convened by the UN made its prediction that sea levels would rise by between 18cm and 59cm by 2100, a lack of knowledge about how the polar ice caps were behaving was behind much of the uncertainty. Since then they have been closely monitored, and the results are disturbing. Both the Greenland and the Antarctic caps have been melting at an accelerating rate. It is this melting ice that is raising sea levels much faster than had been expected. Indeed, scientists now reckon that sea levels will rise by between 50cm and 100cm by 2100, unless action is taken to curb climate change.

Konrad Steffen of the University of Colorado, Boulder, leads one study of the Greenland ice sheet. He told the conference that this sheet is melting not only because it is warmer but also because water seeping through its crevices is breaking it up. This effect had been neglected in the earlier report.

The impact of the melting ice has been measured by John Church of the Centre for Australian Weather and Climate Research. He told the conference that satellite and ground-based systems showed that sea levels have been rising more rapidly since 1993 than they were earlier in the 20th century. He is concerned that more climate change could cause a further acceleration in this rate.

Stefan Rahmstorf of the Potsdam Institute for Climate Impact Research has examined data stretching over 125 years that link increases in sea temperatures to rises in sea levels. He told the conference that, based on past experience, “I expect that sea-level rise will accelerate as the planet gets hotter.” He was supported in this view by the fourth expert, Eric Rignot of the University of California, Irvine, who called for the world’s leaders to slash the emission of carbon dioxide and other greenhouse gases.

Advance negotiations on the UN Climate Change Conference are due to begin in Bonn in just over a fortnight’s time. The scientists hope that their startling warnings will change the outcome of that pre-meeting meeting. With much still to argue over, they hope that a clear scientific lead will both help to narrow the room for disagreement and also galvanise the desire to get a treaty agreed.

March 11, 2009

Radical Skepticism

Sean Carroll presents the ultimate "who are you going to believe--me or your lying eyes? argument:

Boltzmann’s Universe | Cosmic Variance | Discover Magazine: Take for granted that we are exactly who we are — in other words, that the macrostate of the universe is exactly what it appears to be, with all the stars and galaxies etc. By the “macrostate of the universe,” we mean everything we can observe about it, but not the precise position and momentum of every atom and photon. Now, you might be tempted to think that you reliably know something about the past history of our local universe — your first kiss, the French Revolution, the formation of the cosmic microwave background, etc. But you don’t really know those things — you reconstruct them from your records and memories right here and now, using some basic rules of thumb and your belief in certain laws of physics.

The point is that, within this hypothetical thermal equilibrium universe from which we are purportedly a fluctuation, there are many fluctuations that reach exactly this macrostate — one with a hundred billion galaxies, a Solar System just like ours, and a person just like you with exactly the memories you have. And in the hugely overwhelming majority of them, all of your memories and reconstructions of the past are false. In almost every fluctuation that creates universes like the ones we see, both the past and the future have a higher entropy than the present — downward fluctuations in entropy are unlikely, and the larger the fluctuation the more unlikely it is, so the vast majority of fluctuations to any particular low-entropy configuration never go lower than that.

Therefore, this hypothesis — that our universe, complete with all of our records and memories, is a thermal fluctuation around a thermal equilibrium state — makes a very strong prediction: that our past is nothing like what we reconstruct it to be, but rather that all of our memories and records are simply statistical flukes created by an unlikely conspiracy of random motions. In this view, the photograph you see before you used to be yellow and wrinkled, and before that was just a dispersed collection of dust, before miraculously forming itself out of the chaos.

Note that this scenario makes no assumptions about our typicality — it assumes, to the contrary, that we are exactly who we (presently) perceive ourselves to be, no more and no less. But in this scenario, we have absolutely no right to trust any of our memories or reconstructions of the past; they are all just a mirage. And the assumptions that we make to derive that conclusion are exactly the assumptions we really do make to do conventional statistical mechanics!

Boltzmann taught us long ago that it’s possible for heat to flow from cold objects to hot ones, or for cream to spontaneously segregate itself away from a surrounding cup of coffee — it’s just very unlikely. But when we say “unlikely” we have in mind some measure on the space of possibilities. And it’s exactly that assumed measure that would lead us to conclude, in this crazy fluctuation-world, that all of our notions of the past are chimeric...

December 03, 2008

Death from the Skies!! Blogging

A colleague in another building emails me, inquiring why the Brookings Institution is holding Gregg Easterbrook out as an "expert" on "environmental policy; global warming; science; space policy; 'well-being' research; Christian theology..." and pointing me to Andrew Northrup:

The Poor Man: Dear God make it stop:

[Gregg Easterbrook's] Creepy Cosmic Thought: A running mystery of cosmology is gamma-ray bursts.... Astronomers assume gamma-ray bursts must be natural in origin.... [But] what if they are the muzzle flashes of horrific planet-killer weapons? Recently Louisiana State researchers... detected very strong gamma bursts coming not from deep space, but from about 3,000 light years distant.... [My] reaction: Great, maybe there is an interstellar war going on just 3,000 light years away....

[E]ven if there is never any way to exceed or circumvent the light-speed barrier, relatively nearby planets might still fight by hurling nuclear bombs at each other at 99 percent of light speed.... John Duezabou of Helena, Mont., adds this creepy postscript: “A bellicose or paranoid extra-solar civilization that could accelerate an object to 99 percent of light speed wouldn’t need to launch bombs at us. They could shoot anything with devastating results, because the kinetic energy of a moving object is half its mass multiplied by the square of its velocity, or KE = 1/2 mv2. Thus, one pound of anything — a pint of vanilla ice cream, for instance — accelerated to 99 percent of light speed has an energy of about 4.8 megatons, roughly the blast yield of the largest hydrogen bombs.”... 

Andrew comments:

Now, that a man who writes a sports column likes to fantasize about space wars and disaster movie plots is not news. That a widely-published man who is employed by the influential Brookings Institution... doesn’t have any sense of what that Einstein fellow was on about might be news...

My colleague comments:

  • Kinetic energy is not mv2/2--that is the low-energy Newtonian limit approximation--but rather m0c2[(1-(v/c)2)-1 - 1], which at a velocity of 0.99c is eleven times as great as the 4.8 megatons endorsed by Easterbrook.
  • It is not clear what gamma ray bursts are, but it is very clear that they are NOT the muzzle flashes of gigantic cannon launching kinetic projectiles to relativistic velocities.

UPDATE: Brad Johson of the Center for American Progress is on the case

November 29, 2008

California Academy of Sciences New Museum Building Blogging

Path Finder A Foucault Pendulum at the North Pole revolves clockwise with a period of 24 hours. A Foucault Pendulum at the South Pole revolves counterclockwise with a period of 24 hours.

By symmetry, a pendulum at the equator must not revolve at all.

By continuity, every pendulum away from the poles must revolve with a period greater than 24 hours.

Discuss.

October 30, 2008

Ph'nglui Mglw'nafh Cosma Shalizi R'lyeh Wgah'nagl Fhtagn!

Ghost Peaks, Buried in Ice, in Antarctica.

Cosma Shalizi writes:

Ghost Peaks, Buried in Ice: [T]his has me terrified:

It is perhaps the last great Antarctic expedition - to find an explanation for why there is a great mountain range buried under the White Continent. The Gamburtsevs match the Alps in scale but no-one has ever seen them because they are covered by up to 4km of ice. Geologists struggle to understand how such a massif could have formed and persisted in the middle of Antarctica. Now, an international team is setting out on a deep-field survey to try to get some answers. The group comprises scientists, engineers, pilots and support staff from the UK, the US, Germany, Australia, China and Japan.

The ambitious nature of the project - working in Antarctica's far interior - has required an exceptional level of co-ordination and co-operation.... "There are two easy ways to make mountains," explained Dr Robin Bell, from the Lamont-Doherty Earth Observatory, who is a lead US researcher on the expedition. "One is colliding continents, but after they collide they tend to erode; and the last collision was 500-million-plus years ago. They shouldn't be there. The other way is a hotspot, [with volcanoes punching through the crust] like in Hawaii; but there's no good evidence for underneath the ice sheet being that hot. I like to say it's rather like being an archaeologist and opening up a tomb in a pyramid and finding an astronaut sitting inside. It shouldn't be there."...

The expedition gets under way in the next few weeks and will take some two-and-a-half months to complete.

Space-travelers. In tombs. In an inaccessible, highly anomalous mountain-range in Antartica. Do the fools know nothing? Or do they know only too much?

I am forced into speech because men of science have refused to follow my advice without knowing why. It is altogether against my will that I tell my reasons for opposing this contemplated invasion of the Antarctic — with its vast fossil hunt and its wholesale boring and melting of the ancient ice caps. And I am the more reluctant because my warning may be in vain...

October 24, 2008

Do Gravitons Cause Decoherence?

Sean Carroll writes:

Quantum Hyperion | Cosmic Variance: The orbit of Hyperion around Saturn is fairly predictable; happily, even for lumpy moons, the center of mass follows a smooth path. But the orientation of Hyperion, it turns out, is chaotic — the moon tumbles unpredictably as it orbits, as measured by Voyager 2 as well as Earth-based telescopes. Its orbit is highly elliptical, and resonates with the orbit of Titan, which exerts a torque on its axis. If you knew Hyperion’s orientation fairly precisely at some time, it would be completely unpredictable within a month or so (the Lyapunov exponent is about 40 days). More poetically, if you lived there, you wouldn’t be able to predict when the Sun would next rise.

So — is Hyperion oriented when nobody looks? Zurek and Paz calculate (not recently — this is fun, not breaking news) that if Hyperion were isolated from the rest of the universe [except for the gravitational pull on it by Titan and Saturn], it would evolve into a non-localized quantum state over a period of about 20 years. It’s an impressive example of quantum uncertainty on a macroscopic scale.

Except that Hyperion is not isolated from the rest of the universe. If nothing else, it’s constantly bombarded by photons from the Sun, as well as from the rest of the universe. And those photons have their own quantum states, and when they bounce off Hyperion the states become entangled. But there’s no way to keep track of the states of all those photons after they interact and go their merry way. So when you speak about “the quantum state of Hyperion,” you really mean the state we would get by averaging over all the possible states of the photons we didn’t keep track of. And that averaging process — considering the state of a certain quantum system when we haven’t kept track of the states of the many other systems with which it is entangled — leads to decoherence. Roughly speaking, the photons bouncing off of Hyperion act like a series of many little “observations of the wavefunction,” collapsing it into a state of definite orientation.

So, in the real world, not only does this particular moon (of Saturn) exist when we’re not looking, it’s also in a pretty well-defined orientation — even if, in a simple model that excludes the rest of the universe, its wave function would be all spread out after only 20 years of evolution. As Zurek and Paz conclude, “Decoherence caused by the environment … is not a subterfuge of a theorist, but a fact of life.” (As if one could sensibly distinguish between the two.)

But gravity works--presumably, at some level--by massive objects constantly bombarding each other with gravitons, so we are also averaging over all the possible states of gravitons that we are not keeping track of, aren't we? That should cause decoherence too, shouldn't it?

I am confused. Not as confused as I am about the powers of the Vice President of the United States as President of the Senate, but confused.

October 19, 2008

Fear the Wrath of Hilzoy!

Today we bring you another installment of Angry and Snarky Moral Philosopher Blogging.

One word: Hilzoy says that were she to submit an article about social insects to the Atlantic Monthly that they would have fact-checked it. Don't count on it.

Presenting Hilzoy:

Obsidian Wings: E. O. Wilson On Biology And Morality: Via Andrew Sullivan, I see that The Atlantic has put E. O. Wilson's article 'The Biological Basis Of Morality' online. I had repressed all memory of this article, but it really annoyed me at the time, so much so that I wrote a letter to the editors about it. For some, um, unfathomable reason they declined to publish it, but now (heh heh) I can, and so I have put it below the fold. (Why should perfectly good snark go to waste?)

I am reliably informed that E. O. Wilson is a brilliant biologist. I would read anything he wrote about ants with interest. But it does not follow from that that he knows anything about philosophy. Of course, that's no reason why he can't write intelligently on it. But it is a reason why someone at the Atlantic should have gone over what he wrote to make sure it was accurate, as I'm sure they would have done had I submitted an article on insects. Apparently, no one did.


To the Editors:

Suppose that E. O. Wilson's article on 'The Biological Basis of Morality' were a hoax. Suppose that, inspired by Alan Sokal, Wilson had written it to see whether, if a scholar who is deservedly famous for his work in one field were to write on another, you would hold his work to your usual standards of accuracy and sound argument. And suppose he now wrote to let you in on the joke. He would be able cite from his article all the features of Sokal’s work that so embarrassed the editors of Social Text, including:

  • Obvious and easily detectable factual errors. Wilson claims that ethicists "tend not to declare themselves on the foundations of ethics." This would be astonishing if true; fortunately, as any attempt to check this assertion would have made clear, it is not. He writes that Kant’s Categorical Imperative "does not accord ... with the evidence of how the brain works". It would be fascinating to learn what advances in neurology have shown that it is morally permissible to act on maxims that we cannot will to be universal laws. According to Wilson, John Rawls "offers no evidence that justice-as-fairness is consistent with human nature." In fact, Rawls devotes a sixty-page chapter of A Theory of Justice to this question. Wilson describes Rawls as a "transcendentalist", i.e., a thinker who holds that "the order of nature contains supreme principles, either divine or intrinsic". In fact, Rawls explicitly rejects this view. These are only a few of the factual inaccuracies that pervade Wilson’s article. None of them would have been difficult to detect, had anyone tried to do so.

  • Quotes taken out of context. One example: Wilson claims that "Rawls opens A Theory of Justice with a proposition he regards as irrevocable", and which he then quotes. In fact, Rawls begins the next paragraph of Theory as follows: "These propositions express our intuitive conviction of the primacy of justice. No doubt they are expressed too strongly. In any event I wish to inquire whether these contentions or others similar to them are sound, and if so how they can be accounted for." If this counts as taking a claim to be irrevocable, I would hate to see Wilson’s idea of diffidence.

  • Unsound arguments. Wilson begins by distinguishing the view that moral laws "exist outside the mind" from the view that they are "contrivances of the mind". He then argues that we should reject the first alternative, since it amounts to the view that moral laws are "ethereal messages awaiting revelation, or independent truths vibrating in a non-material dimension of the mind". He takes the view that morality is a human contrivance to imply that we can answer moral questions only by understanding the biology behind our moral sentiments. It is worth noticing the implications of this argument. If we could not conduct any inquiry whose object is a human contrivance without inquiring into its biological roots, we would be unable to balance our checkbooks or figure out winning moves in chess without first understanding the selection processes that led us to engage in these activities -- unless, of course, we were prepared to regard truths about our bank balances or what move will mate in two as “ethereal messages awaiting revelation”.
    Wilson's argument depends on the idea that these are our only alternatives. But they are not. Suppose, for the sake of argument, that morality is a 'contrivance of the mind'. This would not imply that we need to use biology to determine what the answers to moral questions are. Think of mathematics, which is arguably a human invention. Biology might explain why we have the ability to construct mathematical proofs, but it is not necessary to know anything about biology to construct the proofs themselves, since biological claims do not normally figure as premises in mathematical arguments. Likewise, the claim that morality is a human contrivance might imply the existence of a biological underpinning to our ability to construct moral arguments, but it does not follow from this that biological claims must figure in the arguments themselves.
    Still, one might think, biology might be relevant to ethics not because ethics is a human contrivance, but because of the particular sort of contrivance that it is. To assess this suggestion, we should distinguish different ways in which biology might be relevant to ethics. First, ethicists have to make certain assumptions about what it is possible for people to do, since morality should not require anything it is impossible for us to do, like being in two places at one time. (Since most moral theories require qualities, like generosity and courage, which some people actually display, and which it must therefore be possible for people to have, it is unclear that sustained biological research is needed on this point.) Second, biology might help us to understand the social consequences of adopting various different moral views. Most of Wilson’s examples show biology to be relevant to ethics in one of these two ways, whose possibility few ethicists would dispute.
    The crucial issue is whether biology is relevant to ethics in a third way. If we knew which moral principles people can act on, and the consequences of adopting them, we would still have to decide which principles we should adopt. Should we adopt those that make us happiest? Those that promote human autonomy? Those that all could endorse? Professor Wilson’s central thesis is that we can use biology to answer this question. But it is not clear how biology could answer it: how, for instance, any amount of information about the processes of selection that led to altruistic behavior could license conclusions about when that behavior should be encouraged and when it should be proscribed. Wilson’s only support for the claim that it can is that the alternative is to imagine moral truths "vibrating in a nonmaterial dimension of the mind". But if, as I argued above, this is not our only alternative -- if we can hold both that morality is a human contrivance and that biology is not relevant to answering moral questions -- then this is no support at all.

Suppose Wilson were to inform you that his article was in fact a hoax, and to list the points made above: that his article contains obvious errors that anyone familiar with his subject would have caught and corrected; that it takes quotes out of context and attributes to thinkers positions they explicitly disavow; and that its central thesis is supported only by the semblance of an argument. And suppose he then asked why, given these facts, you chose to print it. How would you reply?

[hilzoy]

P.S.: The chapter of Rawls' Theory devoted to the question whether Rawls' principles are consistent with human nature is ch. 8 (pp. 453-512). Rawls' rejection of what Wilson calls 'transcendentalism' can be found in Political Liberalism. In that work Rawls defines a view which he calls 'rational intuitionism'. Rational intuitionists, as Rawls describes them, hold that "moral first principles and judgments, when correct, are true statements about an independent order of moral values; moreover, this order does not depend on, nor is it to be explained by, the activity of any actual (human) minds." (p. 91) By contrast, Rawls holds that the principles of justice should be "represented as the outcome of a procedure of construction" (p. 93); or, in Professor Wilson’s terms, as a contrivance of the mind. Rawls spends a chapter developing his view by explicitly contrasting it to the view Wilson attributes to him, which makes this attribution hard to understand.

September 08, 2008

Somehow I Think I Knew This Already...

From Gordon's Notes:

Exercise cannot control obesity gene associated weight gain: The title on this SciAm summary is silly...

Do I look fat in these genes? Exercise can cancel out effects of 'heavy-weight' DNA: Scientific American Blog: ... Physically active people who carry gene mutations linked to obesity are no more likely to be overweight than those without the variants -- as long as they exercise at least three hours a day...

Exercising 3+ hours a day is not compatible with life in a post-industrial world. If these results turned out be generalizable to a reasonable portion of the obese population (big if), then we'd know that exercise won't control our expanding (sorry) obesity problem. We already know diet doesn't work, so here's hoping for great drugs ...

Either that, or we get rid of our cars ...

August 30, 2008

P.Z. Myers Blogs About Zhou Q, Brown J, Kanarek A, Rajagopa J, Melton DA (2008), "In Vivo Reprogramming of Adult Pancreatic Exocrine Cells to β-Cells," Nature Aug 27.

Hacking the Pancreas:

Pharyngula: This is a big deal, I think.... [T]his is a recent result published in Nature... basic science, not clinical work... this has a long, long way to go before it can be applied to humans....

The pancreas is... made up of a variety of different [kinds of] cells.... [T]here are exocrine cells, cells that produce quantities of important substances that are piped directly into the digestive tract via ducts.... [There are] endocrine cells... that generate hormonal signals that are secreted into the blood stream... the most familiar of these are the beta (β) cells, which are organized into clumps called islets and which secrete insulin....

What the researchers did was identify a small subset of transcription factors, the genes Ngn3, Pdx1 and Mafa, that are sufficient to switch on the insulin production genes in non-insulin-producing cells of the pancreas. They can turn exocrine cells into β cells... [by] insert[ing] the transcription factors (and a gene that makes a glowing protein, GFP, as a marker) into adenoviruses, and then inject[ing] the virus directly into the pancreases of genetically immunodeficient (to reduce immune response complications) adult mice. The viruses infected a subset of the pancreatic cells, preferentially the exocrine cells, and started pumping out the transcription factors.... [T]he use of viral transfection is perhaps the scariest part of the story; viruses aren't trivial to keep in check.... [T]hey also found that inducing the expression of the 3 transcription factors in other kinds of cells, like muscle, seems to do nothing. These genes are only potent in pancreatic cells that are already primed....

The virus is also not needed for long term maintenance of these cells.... [A]ll it takes is a brief jolt of expression of Ngn3, Pdx1 and Mafa to switch susceptible cells into the β cell state, and that the developmental program is then self-sustaining....

A lot of attention has been paid to embryonic stem cell and adult stem cell technologies, and those are both important and provide research and treatment opportunities that must not be neglected, but this is a third way: mastering the developmental control genes of the cell so that we can reprogram mature cells into any cell type we need.... This is the direction developmental medicine can take us — I hope you're all ready to support it.

Clinical and Actuarial Judgment

Cosma Shalizi on how we are not as smart as the simple linear models our computers can estimate:

Clinical and Actuarial Judgment Compared: For something like fifty years now, psychologists have been studying the question of "clinical versus actuarial judgment".... Say you're interested in diagnosing heart diseases from electrocardiograms. Normally we have clinicians, i.e., expert doctors, look at a chart.... Alternately, we could ask the experts what features they look at, when making their prognosis, and then fit a statistical model to that data, trying to predict the outcome or classification based on those features.... This is the actuarial approach, since it's just based on averages --- "of patients with features x, y and z, q percent have a serious heart condition".

The rather surprising, and completely consistent, result of these studies is that there are no known cases where clinicians reliably out-perform actuarial methods, even when the statistical models are just linear classification rules.... In many areas, statistical classifiers significantly out-perform human experts. They even out-perform experts who have access to the statistical results, apparently because the experts place too much weight on their own judgment.... [H]uman experts are... no better than simple statistical models.

On the other hand, there is another body of experimental work, admittedly more recent, on "simple heuristics that make us smart", which seems to show that people are often very good judges, under natural conditions. That is to say, we're very good at solving the problems we tend to actually encounter, presented in the way we encounter them. The heuristics we use to solve those problems may not be generally applicable, but they are adapted to our environments, and, in those environments, are fast, simple and effective.

I have a bit of difficulty reconciling these two pictures in my mind. I can think of three resolutions.

  1. The "clinicial versus actuarial" results... do not reflect the "natural" conditions of clinical judgment.... What one really wants is a representative sample of actual cases, comparing the normal judgment of clinicians to that of the statistical models. This may have been done; I don't know.
  2. The "fast and frugal heuristics" results are... irrelevant.... [A]daptive mechanisms [that] let us figure out good heuristics in everyday life don't apply in the situations where we rely on clinical expertise.... [S]omething... about the conditions of clinicial judgment... render our normal cognitive mechanisms ineffective there.
  3. Clinicial judgment is a "fast and frugal heuristic", with emphasis on the fast and frugal.... [C]linicians are... as accurate as one can get, using only a reasonable amount of information and a reasonable amount of time, while still using the human brain, which is not a computing platform well-suited to floating-point operations...

I am unable to judge between these.

Hurricane Gustav Hits Cuba

Hurricane Gustav Satellite Images | TwisterVideos.com - Tornado Videos, Chasing and Forecasting

Twister Videos says:

Hurricane Gustav Satellite Images | TwisterVideos.com - Tornado Videos, Chasing and Forecasting: The satellite  presentation of Hurricane Gustav has improved significantly over the past few hours.  There is noticeable deep convection near the center of the storm with great outflow in all quadrants.  There have been faint signs on visible satellite of an eye-feature beginning to form...

I am not sure "improved" is the word they really want to use here.

This is an indication that Hurricane [Gustav] is getting better organized...

Unlike, say, the McCain campaign.

Cosma Shalizi: Statistics 36-350: Data Mining (Fall 2008)

I really should take this course this fall:

Statistics 36-350: Data Mining (Fall 2008).

I should note that "data mining" in statistics has a very different meaning from "data mining" in economics.

August 10, 2008

Hoisted from Comments: The Dawn of Humanity

Hoisted from Comments: The Dawn of Humanity

Grasping Reality with Both Hands: Brad DeLong's Semi-Daily Journal: The Dawn of Humanity: What astonishes me is the speed. They've got the origin date at -56,000, and the oldest modern human remains in Australia are -40,000. The route from East Africa across Asia to Northern Australia is 10K+ miles, which means humans were expanding at close to a mile a year. That's just unbelievably fast.

We have all sorts of branches of homo surviving stably for a million plus years all over africa, asia, and europe, and this new branch comes out of Africa and by the end of the Great Migration, only a little over ten thousand years later, they are building boats to sail to Australia. And wiping out or out-competing every one of our homo sibling species on the way.

The Singularity is truly in our past.

Posted by: tavella | January 23, 2007 at 05:15 PM

August 08, 2008

Buce Talks About the Luckiest Horse in the Fifth Millennium BCE

From Underbelly:

Underbelly: The Luckiest Horse in the Fifth Millennium BCE: The subject for the day is the domestication of the horse, where and when and how and why, as recounted by David W. Anthony in his fascinating and absorbing new book, The Horse, the Wheel, and Language (2008)—and also a salute to the luckiest horse.in the Fifth Millennium BCE.

Per Anthony, the date is about 4800 BCE; the place is in what he chooses to call “the Pontic-Caspian steppes,” just above the Caspian Sea. The “why” is interesting: apparently not for riding, but for food—horses were big and meaty and could live over the winter in cold climates (riding came later).

AS to “how,” the flip answer is “it wasn’t easy,” which is not surprising when you stop to think of it: horses—or, more precisely, stallions—are a notoriously tricky lot and they wouldn’t take kindly to being stabled or hobbled or slapped into harness.

But as to precisely how, the DNA evidence provides a remarkable clue. Per Anthony:

the female bloodline of modern domesticated horses shows extreme diversity. Traits inherited through the mitochondrial DNA, which passes unchanged from mother to daughter, show that this part of the bloodline is so diverse that at least seventy-seven ancestral mares, grouped into seventeen phlogenetic branches, are required to account for the genetic variety in modern populations around the globe. Wild mares must have been taken into domestic horse herds in many different places at different times. (196)

So much for the ladies. What of the gents? Anthony continues:

Meanwhle the male aspect of modern horse DNA, which is passed unchanged on the Y chromosome from sire to colt, shows remarkable homogeneity. It is possible that just a single wild stallion was domesticated. (Id.)

Got the picture yet? “The standard feral horse band,” explains Anthony, “consists of a stallion with a harem of two to seven mares and their immature offspring.”

Mares are…instinctively disposed to accept the dominance of others, whether dominant mares, stallions—or humans. Stallions are headstrong and violent, and are instinctively disposed to challenge authority by biting and kicking. … [A] relatively docile and controllable stallion was an unusual individual—and one that had little hope of reproducing in the wild. Horse domestication might have depended on a lucky coincidence: the appearance of a relatively manageable and docile male in a place where humans could use him as a breeder of a domesticated bloodline. From the horse’s perspective, humans were the only way he could get a girl. From the human perspective, he was the only sire they wanted.

So here’s to you, Mr. Lucky, the granddaddy of them all.

Afterthought: Anthony’s book is a rewarding read but it’s hard to figure out just who is his target audience. He seems to have written at least three books here—the horse, the wheel, and language—or maybe six—one set each for specialists and non-specialists. The nonspecialist (that would be me) will get a lot out of it, but he’ll find himself skipping a lot of the detail. The specialist—well, my impression is that nothing is ever settled in archaeology, so I suspect there are plenty of specialists ready to prove to me that he’s full of something horsey.

July 19, 2008

Transit of Earth by the Moon

John Scalzi directs us to:

July 01, 2008

Nurture vs. Nature in Math Skills

John Timmer:

Why Judy can't add: gender inequality and the math gap: [T]here's a gender gap in performance on tests of basic skills: boys tend to perform better at math, while girls get superior reading scores. It has been suggested that these gaps are the result of biological differences.... But a new study suggests that, when it comes to math, we can forget biology.... A total of over 275,000 students in 40 countries took the PISA exam as 15-year-olds.... [T]he math gap wasn't consistent between countries. For example, it was nearly twice as large as the average in Turkey, while Icelandic girls outscored males by roughly 2 percent. The general pattern of these differences suggested to the authors that the performance differences correlated with the status of women....

Scandinavian countries such as Norway and Sweden score very high on gender equality measures; in these nations, the gender gap on math performance is extremely small. In contrast, nations at the other end of the spectrum, such as Turkey and Korea, had the largest gender gap....

The frightening thing, from a male perspective, is that a lack of gender equality also seems to be holding down girls' reading scores. Female superiority in reading tests is slightly lower than average in Turkey, but the gap is actually wider in countries with greater equality between the sexes. In Iceland, for example, girls outscore boys by well over 10 percent.

The math gender gap thus joins a long list of differences in test scores that were once ascribed to biology, but now appear to be caused by social influences. The study, however, leaves us with yet another question of this sort: why do boys appear to read so poorly? We clearly can't ascribe it to social inequality, but that doesn't mean it isn't due to some other social factor.

June 22, 2008

Higher-Level Languages and Genetic Programming

The Quintessence writes::

Quintessence of Dust: Wait...did you say "eldritch?": Comparison of the various chordate genomes reveals that there are very few chordate-specific genes. Specifically, the authors described 239 "chordate gene novelties" out of 22,000 genes in the lancelet. The nature and function of these genes is intensely interesting, and indeed the authors devote a separate report to issues related to this. But think about it: only 1% of the genes in chordates (vertebrates and all their relatives) are "novel" among genes from all other organisms. So if the toolbox isn't all that different between lancelets and lions, despite divergence at least 550 million years ago, then what is different? Anything? As John Timmer notes on Nobel Intent, the authors could find relatively few examples of regulatory DNA sequences that are conserved between lancelets and vertebrates, pointing to the likelihood that changes in regulation of a (mostly) common genetic toolkit is a major factor in evolution of form. (Okay, so that was just a plug for evo-devo. It's my blog.)...

Now that is scary. The DNA genome is best conceptualized not just as machine language for the cell and the organism, not just machine plus assembly language, not just machine plus assembly language plus Fortran, but all of those and overlaid over the whole, controlling everything, the highest-level genetic code for our humanity written in the molecular equivalent of Java...

June 20, 2008

Meterror Impacts Once Again

Hoisted from Comments: Frank:

Grasping Reality with Both Hands: The Semi-Daily Journal Economist Brad DeLong: impact rates based on the cratering record are pretty much in line with estimates based on the population of Earth-crossing asteroids. Size distributions roughly fit an inverse square law distribution (i.e., 2 x diameter = 1/4 probability; 1/2 diameter = 4 x probability). Using this one can calculate impact rates based on a probability of a 500 m impactor every 100,000 years. So on average, 50 m projectiles should impact every 10,000 years or so (10 x 10 times more frequent). Once you get down to about 50 m the probability of the projectile exploding in the atmosphere (like Tungusaka) is quite high. Much smaller events might be like nuclear explosions, but they are rare and very unlikely to hit populated areas.

More to the point of the Easterbrook article, I've searched the Web of Science publication database for papers by the chief protagonist in his article. DH Abbot has not published a significant paper in 5 years and has never published anything other than unreviewed abstracts on this subject that I can find. Looks like a squeeky wheel getting Easterbrook's attention, but no follow-up to credible experts in this field.

And then there is the cross-section problem: we have what? 6000 cities each of roughly 100 square miles = 600,000 square miles of devastating impact cross section in a world of 200M square miles. That means only 1 out of 400 50M impacts will be "devastating" if we say that a 50 meter meteorite--2 megatons, Barringer crater-sized--hitting a city is our threshold for "devastating."

So we are down to one devastating every 4,000,000 years--not the one every thousand years of the Atlantic Monthly's lead to Gregg Easterbrook's article.

June 19, 2008

Reported Deaths and Injuries from Meteorite Impact

From Oberlin College, we read:

Meteorite Impact Structures Student Research:

  • 1420 BC  Israel - Fatal meteorite impact.
  • 588 AD China - 10 deaths; siege towers destroyed.
  • 1321-68 China - People & animals killed; homes ruined.
  • 1369  Ho-t'ao China - Soldier injured; fire.
  • 02/03/1490 Shansi, China - 10,000 deaths.
  • 09/14/1511 Cremona, Italy - Monk, birds, & sheep killed.
  • 1633-64 Milono, Italy - Monk killed.
  • 1639 China - Tens of deaths; 10 homes destroyed.
  • 1647-54 Indian Ocean - 2 sailors killed aboard a ship.
  • 07/24/1790 France - Farmer killed; home destroyed; cattle killed.
  • 01/16/1825 Oriang, India - Man killed; woman injured.
  • 02/27/1827 Mhow, India - Man injured.
  • 12/11/1836 Macao, Brazil - Oxen killed; homes damaged.
  • 07/14/1847 Braunau, Bohemia - Home struck by 371 lb meteorite.
  • 01/23/1870 Nedagolla, India - Man stunned by meteorite.
  • 06/30/1874 Ming Tung li, China - Cottage crushed, child killed.
  • 01/14/1879 Newtown, Indiana, USA - Man killed in bed.
  • 01/31/1879 Dun-Lepoelier, France - Farmer killed by meteorite.
  • 11/19/1881 Grossliebenthal, Russia - Man injured.
  • 03/11/1897 West Virginia, USA - Walls pierced, horse killed, man injured.
  • 09/05/1907 Weng-li, China - Whole family crushed to death.
  • 06/30/1908 Tunguska, Siberia - Fire, 2 people killed. (referenced throughout paper)
  • 04/28/1927 Aba, Japan - Girl injured by meteorite.
  • 12/08/1929 Zvezvan, Yugoslavia - Meteorite hit bridal party, 1 killed.
  • 05/16/1946 Santa Ana, Mexico - Houses destroyed, 28 injured.
  • 11/30/1946 Colford, UK - Telephones knocked out, boy injured.
  • 11/28/1954 Sylacauga, Alabama, USA - 4 kg meteorite struck home, lady injured.
  • 08/14/1992 Mbole, Uganda - 48 stones fell, roofs damaged, boy injured.

Meteorite Impact Structures Student Research: The most incredible Chinese report is that of the Chíing-yang Meteorite Shower of 1490.  Supposedly, tens of thousands of people were killed during the shower in the Shansi province.  Yau et al. tell us that "[t]he Chíing-yang incident seems rather implausible in terms of the total number of casualties and the narrow size distribution of the meteorite fragments (Yau et al. 1994)," but they also point out its similarities to the Tunguska event, which would have devastated a populated area.

Yau, K., P. Weissman, and D. Yeomans. "Meteorite Falls in China and Some Related Human Casualty Events." Meteoritics 29, 864-871. [Geobase]


Impact event - Wikipedia: Near misses and forecasts:

  • On 19 May 1996 a 300–500 m asteroid, 1996 JA1, passed within 450,000 km of Earth; it had been detected a few days before.
  • On 18 March 2004 a 30 m asteroid, 2004 FH, passed within 40,000 km of Earth only a few days after it had been detected. This asteroid probably would have detonated in the atmosphere and posed negligible hazard to the surface, had it been on impact course.
  • On 31 March 2004, a 6 m meteoroid, 2004 FU162 made the second closest near miss pass ever observed (closest so far was The Great Daylight 1972 Fireball) with a separation of only 1.02 Earth radii from the surface (6,500 km). Because this object is certainly too small to pass through the atmosphere, it is classed as a meteoroid rather than an asteroid.
  • In 2004, a newly discovered 320 m asteroid, 99942 Apophis (previously called 2004 MN4), achieved the highest impact probability of any potentially dangerous object. The probability of collision on 13 April 2029 is estimated to be as high as 1 in 17 by Steve Chesley of NASA's Jet Propulsion Laboratory, though the previously published figure was the slightly lower odds of 1 in 37, calculated in December 2004. Later observations showed that the asteroid will miss the earth by 25,600 km (within the orbits of communications satellites) in 2029, but its orbit will be altered unpredictably in a way which does not rule out a collision on 13 or 14 April 2036 or later in the century. These possible future dates have a cumulative probability of 1 in 45,000 for an impact in the 21st century.
  • Asteroid 2004 VD17, of 580 m, previously was estimated to have a probability of 1 in 63,000 of striking earth on 4 May 2102 (as of July 2006), with risk 1 on the Torino scale, but further observations lowered the estimate. As of the observation on December 17, 2006, JPL assigns 2004 VD17 a Torino value of 0 and an impact probability of 1 in 41.667 million in the next 100 years.
  • Asteroid (29075) 1950 DA has a potential to collide with Earth on March 16, 2880. The probability of impact is either 1 in 300 or zero, depending on which one of the two possible directions for the asteroid's spin pole is correct. This asteroid has a mean diameter of about 1.1 km. The energy released by the collision would cause major effects on the climate and biosphere and may be devastating to human civilization. The Atlantic Ocean is predicted to be facing towards the asteroid on the day of the potential collision.
  • Asteroid 2007 TU24 with an estimated diameter between 300-500-m came very close to earth orbit by 1.4 ld(lunar distance) on January 29, 2008. The orbit of the asteroid is shown on NASA's website [6].
  • Relatively small objects that burn up in the atmosphere can be dangerous beyond their own capabilities. In 2002, U.S. Air Force Brig. Gen. Simon P. Worden told members of a U.S. House of Representatives Science subcommittee that the U.S. has instruments that determine if an atmospheric explosion is natural or man-made, but no other nation with nuclear weapons has that detection technology. He said there is concern that some of those countries could mistake a natural explosion for an attack, and launch nuclear retaliation. In the summer of 2001 U.S. satellites had detected over the Mediterranean an atmospheric flash of energy similar to a nuclear weapon, but determined that it was caused by an asteroid.
  • As of March 2008, the Near-Earth Asteroid with the highest probability of impact within the next 100 years is 2007 VK184, with a Torino scale of 1.

June 17, 2008

The Atlantic Monthly Death Spiral Watch (Gregg Easterbrook Asteroid Devastation Edition)

Why oh why can't we have a better press corps? The Atlantic Monthly features Gregg Easterbook, who writes:

The Sky Is Falling: The odds that a potentially devastating space rock will hit Earth this century may be as high as one in 10. So why isn’t NASA trying harder to prevent catastrophe?

If the odds that a devastating space rock will hit the earth in a century are one in ten, then the chances that we have gone...

  • one millennium without a DSR hitting the earth are 0.35...
  • two millennia without a DSR hitting the earth are 0.12...
  • four millennia without a DSR hitting the earth are 0.014...

It's possible a devastating space rock hit the earth between eight and four millennia ago and we know nothing about it--but it's not terribly likely. It's very hard for me to believe that a devastating space rock has hit the earth since 3000 BC. We have Tunguska--and that's pretty much it[1].

That means that if you started out with a 50-50 prior probability that Gregg Easterbrook knows what he is talking about, your posterior probability that the lead of his Atlantic article is better than birdcage liner given no rock since 2000 BC is 0.0138. But we start with a lower probability than that, don't we? Gregg Easterbrook has a history, doesn't he? I would start with a prior probability that Easterbrook knows what he is talking about of one in a ten, in which case our posterior judgment, given no rock since 3000 BC, is 0.0014. If the Atlantic published an article by Gregg Easterbrook every month, we would have to wait 41 years before there was a 50-50 chance that even one of the Easterbrook articles was right.

"Odds that a potentially devastating space rock will hit Earth this century may be as high as one in 10." Feh!!


[1] Yes, I know that Easterbrook claims that the abnormally cold weather of 536-537 was caused by a dust cloud raised by a "space object about 300 meters in diameter hit[ting] the Gulf of Carpentaria, north of Australia, in 536 A.D." But I had thought that sulphur left in ice cores in 536-7 was strong evidence that the cause was a volcanic eruption: see http://www.realclimate.org/index.php/archives/2008/03/536-ad-and-all-that/. Easterbrook doesn't mention SO4 concentrations in ice cores.

June 08, 2008

Shut Up and Calculate!

Eliezer Yudkowsky wonders aloud just what the Born probabilities in quantum mechanics are. It is, I think, an object lesson that nobody should try to understand quantum mechanics: it simply cannot be done.

We hope he recovers someday:

Overcoming Bias: The Born Probabilities: One serious mystery... is where the Born probabilities come from, or even what they are probabilities of.  What does the integral over the squared modulus of the amplitude density have to do with anything?... A professor teaching undergraduates might say:  "The probability of finding a particle in a particular position is given by the squared modulus of the amplitude at that position."

This is oversimplified in several ways. First, for continuous variables like position, amplitude is a density, not a point mass.  You integrate over it.  The integral over a single point is zero. (Historical note:  If "observing a particle's position" invoked a mysterious event that squeezed the amplitude distribution down to a delta point, or flattened it in one subspace, this would give us a different future amplitude distribution from what decoherence [theory] would predict.  All interpretations of QM that involve quantum systems jumping into a point/flat state, which are both testable and have been tested, have been falsified.  The universe does not have a "classical mode" to jump into; it's all amplitudes, all the time.)

Second, a single observed particle doesn't have an amplitude distribution.  Rather the system containing yourself, plus the particle, plus the rest of the universe, may approximately factor into the multiplicative product of (1) a sub-distribution over the particle position and (2) a sub-distribution over the rest of the universe.  Or rather, the particular blob of amplitude that you happen to be in, can factor that way. So what could it mean, to associate a "subjective probability" with a component of one factor of a combined amplitude distribution that happens to factorize?...

If a whole gigantic human experimenter made up of quintillions of particles interacts with one teensy little atom whose amplitude factor has a big bulge on the left and a small bulge on the right, then the resulting amplitude distribution, in the joint configuration space, has a big amplitude blob for "human sees atom on the left", and a small amplitude blob of "human sees atom on the right.... [T]he Born probabilities seem to be about finding yourself in a particular blob, not the particle being in a particular place. But what does the integral over squared moduli have to do with anything?  On a straight reading of the data, you would always find yourself in both blobs, every time.  How can you find yourself in one blob with greater probability?  What are the Born probabilities probabilities of?  Here's the map - where's the territory?

I don't know.  It's an open problem.  Try not to go funny in the head about it. This problem is even worse than it looks because the squared-modulus business is the only non-linear rule in all of quantum mechanics...

June 06, 2008

Daniel Davies, Diet Coach

He writes:

Daniel Davies: Fat Hominid: There’s a paper to be written at some point on the economics of fad diets... a rich source for the self-organising systems literature and a good case study of how irrational and somewhat self-destructive beliefs spread through proselytisation.... [N]early everyone’s digestive system is different.... Different foods agree and disagree with different people.... [F]ad diets... can... be modelled as more or less spanning the possible combinations of foods.... [E]very now and then, someone is going to come across a fad diet which really really really works, for them, because it happens to not include whatever food is giving them their current digestive troubles.

Someone like that is very likely to become an evangelist for their preferred fad diet; after all, they have first-hand empirical evidence that it really really really works. And sudden relief from digestive discomfort, or very rapid weight loss, is an experience the emotional impact and profundity of which should not be underestimated....

Of course, the vast majority of people on fad diets are getting no real benefit from them, other than from the incidental factor that most of them are basically calorie controlled (either by design or, per Atkins Diet, de facto by simply being such inconvenient and unpleasant ways to eat). Thinking about these sorts of things and their spread through the community gets you onto the subject quite quickly of Charles Mackay and Extraordinary Popular Delusions, which is why it’s a bit of a disappointment to me to see that a sharp cookie like Nassim Nicholas Taleb appears to have fallen hook line and sinker for a fad diet...

May 28, 2008

The Great Element Naming Controversy

Abi Sutherland sends us to

Element naming controversy: Finally in 1997, the following names were agreed on the 39th IUPAC General Assembly in Geneva, Switzerland: 104 - rutherfordium; 105 - dubnium; 106 - seaborgium; 107 - bohrium; 108 - hassium; 109 - meitnerium.

In 1999, Glenn T. Seaborg died, still disputing the name change for #105 and adamant about it remaining known as hahnium. His reason concerning Dubna in Russia was that he believed that they had made a false claim about discovering the element for which they had been credited. When the Dubna group finally did release some additional data on the experiment, Seaborg claimed that it was a misreading of the decay pattern of their product. Even then, the Dubna group still refused to remove their claim. Some people in the Berkeley group and some others still refer to it as hahnium.

Huh. I had thought that they had taken Glenn Seaborg's name away from him--that all he was left with was a room in Berkeley's Faculty Club and the Lafayette Library. Now I feel better.

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.

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