Book review: Global Catastrophic Risks by Nick Bostrom, and Milan Cirkovic.
This is a relatively comprehensive collection of thoughtful essays about the risks of a major catastrophe (mainly those that would kill a billion or more people).
Probably the most important chapter is the one on risks associated with AI, since few people attempting to create an AI seem to understand the possibilities it describes. It makes some implausible claims about the speed with which an AI could take over the world, but the argument they are used to support only requires that a first-mover advantage be important, and that is only weakly dependent on assumptions about that speed with which AI will improve.
The risks of a large fraction of humanity being killed by a super-volcano is apparently higher than the risk from asteroids, but volcanoes have more of a limit on their maximum size, so they appear to pose less risk of human extinction.
The risks of asteroids and comets can’t be handled as well as I thought by early detection, because some dark comets can’t be detected with current technology until it’s way too late. It seems we ought to start thinking about better detection systems, which would probably require large improvements in the cost-effectiveness of space-based telescopes or other sensors.
Many of the volcano and asteroid deaths would be due to crop failures from cold weather. Since mid-ocean temperatures are more stable that land temperatures, ocean based aquaculture would help mitigate this risk.
The climate change chapter seems much more objective and credible than what I’ve previously read on the subject, but is technical enough that it won’t be widely read, and it won’t satisfy anyone who is looking for arguments to justify their favorite policy. The best part is a list of possible instabilities which appear unlikely but which aren’t understood well enough to evaluate with any confidence.
The chapter on plagues mentions one surprising risk – better sanitation made polio more dangerous by altering the age at which it infected people. If I’d written the chapter, I’d have mentioned Ewald’s analysis of how human behavior influences the evolution of strains which are more or less virulent.
There’s good news about nuclear proliferation which has been under-reported – a fair number of countries have abandoned nuclear weapons programs, and a few have given up nuclear weapons. So if there’s any trend, it’s toward fewer countries trying to build them, and a stable number of countries possessing them. The bad news is we don’t know whether nanotechnology will change that by drastically reducing the effort needed to build them.
The chapter on totalitarianism discusses some uncomfortable tradeoffs between the benefits of some sort of world government and the harm that such government might cause. One interesting claim:

totalitarian regimes are less likely to foresee disasters, but are in some ways better-equipped to deal with disasters that they take seriously.

Charlie Munger in the August 31, 2008 issue of Outstanding Investor Digest:

Let’s say you’re insuring against the outcome that people will lose money on a $100 million bond issue, and the credit default swaps, instead of amounting to $100 million, amount to $3 billion. Now you’ve got people with $3 billion worth of contracts that really have a big incentive in having somebody fail. And they may manipulate in some fraudulent or extreme way to cause a default in order to make the big collection.

There doesn’t seem to be enough transparency in financial systems to figure out whether this concern is relevant to this week’s panic.

Most experts were surprised at the news that human DNA seems to contain less than 25000 genes.
Since then signs have emerged that the rest of the DNA (often called junk DNA is quite active, with about 80% of the DNA being transcribed into RNA even though only 1-2% constitutes protein-coding genes.
There’s a lot of mystery about what, if anything, most of that RNA does, but it’s not all junk. One such RNA molecule, HOTAIR, appears to control expression of some genes. RNA has an ability to fold into shapes that may rival proteins in their diversity, so there’s no good reason to think that creating proteins comes close to describing the set of functions that RNA performs.

To deter any suspicion that the comparisons I plan to make between Intrade’s predictions and polls are comparisons I selected to make Intrade look good, I’m announcing now that I intend to use FiveThirtyEight.com as the primary poll aggregator. I intend to pay attention to predictions that are more long-term than I focused in 2004, so the comparison I’ll attach the most importance to will be based on the first snapshot I took of FiveThirtyEight.com’s state by state projections, which was on July 24.

Also, as of last week, one of the Presidential Decision Markets that I’m subsidizing, DEM.PRES-OIL.FUTURES, has attracted enough trading (I suspect from one large trader) to make me reasonably confident that it’s showing the effects of trader opinion rather than the effects of my automated market maker (saying that oil futures will drop if the Democratic candidate wins, and rise if he loses).

Book review: Monkeyluv: And Other Essays on Our Lives as Animals by Robert M. Sapolsky.
This collection of essays starts out by rehashing nature/nurture arguments that ought to be widely understood by now, but then becomes mostly entertaining and occasionally quite informative.
He mentions one interesting study which questions sexual selection arguments put forward by Geoffrey Miller and others about animals selecting mates with better genes. The study shows that female Mallards produce stronger offspring after mating with more attractive males because they invest more resources in those eggs, rather than because of anything that seems connected to the genes provided by the males.
He helps explain the attraction of gambling by describing experiments which show larger dopamine releases due to rewards that are most uncertain (the subject thinks they have a 50% chance of happening) than is released when there’s more certainty (e.g. either a 25% chance or a 75% chance) of the same reward.
One place where I was disappointed was when he described “repressive personalities”, which he made seem quite similar to Aspergers, and made me wonder whether I fit his description. “dislike novelty”? My reaction to novelty is sufficiently context-dependent that any answer is plausible. “prefer structure and predictability”? Yes and usually. “poor at expressing emotions or at reading the nuances of emotions in other people”? That’s me. “can tell you what they’re having for dinner two weeks from Thursday”? I could probably predict 5 days in advance with 50% accuracy, so I’m probably closer than most people. So I Googled and found another description (mentioning the same researcher that Sapolsky mentioned) in the Sciences and find descriptions of “repressive personality” that seem wildly different from me (“a strong personal need for social conformity” and “agreement with statements framed as absolutes, statements loaded with the words never and always”). Who wrote this competing description? Wait, it’s the same Sapolsky! It looks like his current description reuses a small piece of an older article with inadequate thought to whether it’s complete enough.

Oil Volatility

News reports plus the pattern of crude oil fluctuations indicate that the large price increases around May and June were due mainly to Chinese desperation to guarantee a larger than normal margin of safety during the Olympics, not manipulation (although the results bear a good deal of resemblance to the results of manipulation).

Book Review: Let Their People Come: Breaking the Gridlock on Global Labor Mobility by Lant Pritchett.
This book is primarily written for economists and academics in related fields, but most of it can be understood by an average person.
I was a little hesitant to read this book because I suspected it would do little more than reinforce my existing beliefs. There were certainly parts of the book that I would have been better off skipping for that reason.
But one important effect of the book was to convince me that the effects on the poor of migration to wealthier countries is so large compared to things like “foreign aid” and free trade that anyone trying to help the poor by influencing government policies shouldn’t spend any time thinking about how to improve “foreign aid” or trade barriers.
I’ve long been wondering how to respond to remarks such as Jimmy Carter’s ‘We are the stingiest nation of all’ based the U.S.’s low “foreign aid” to GDP ratio. Pointing out that “foreign aid” is mostly wasted or even harmful requires too much analysis of lots of not-too-strong evidence. Pritchett shows that the wealth affects of allowing the poor to work in rich countries should dominate any measure of how those rich countries treat the poor. By that measure, adjusting for country size, the U.S. ranks better than countries in the EU, but is embarrassingly callous compared to the United Arab Emirates, Kuwait, and Jordan.
The book addresses both moral and selfish arguments for restricting immigration. It treats the selfish arguments (even those based on myths) as problems that can’t be overcome, but which can be reduced via compromises. These pragmatic parts of the book are too ordinary to be worth much.
The sections about moral arguments are more powerful. He clearly demonstrates a large blind spot in the moral vision of those who think they’re opposed to all discrimination but who aren’t offended by discrimination on the basis of the nationality a person was assigned at birth. But he exaggerates when he claims that nationality is the only exception to a widely agreed on outrage at discrimination based on “condition of birth”. Discrimination based on date of birth still gets wide support (e.g. the drinking age). And if you’re born as a conjoined twin, don’t expect much protection from surgery that looks about as moral as brain surgery designed to cure a child’s homosexuality should.
Perhaps this book is one small step toward creating a movement with a slogan such as “Tear down that kinder, gentler Berlin wall!”.

F.M. Busby’s The Breeds of Man was written in 1988. Many of his expectations for what was then the future are surprising not just because they’re wrong, but because it took me a fair amount of effort to remember that back in 1988 I wouldn’t have dismissed them as silly.
Most of the book takes place in an unspecified year that is no earlier than 2005 and probably no later than 2020. One of the most striking features of the story is that a powerful person is able to exert pressure on the news media to kill a story that at least one reporter is working on. The story would have generated enough publicity that in 1988 it would have been somewhat doubtful whether it could have been suppressed, but it would have been the kind of possibility that in 1988 I would have expected to generate some entertaining debates. But today, the idea that the reporter couldn’t advance her career by taking the story to an alternate news channel seems too foreign for even a moderately crazy conspiracy theorist to propose.
The book is not particularly bad as science fiction goes, but it’s full of places where I’m almost shocked at how primitive the flow of information seems. And when I think back, I remember that for more than half my life I lived in that primitive world.

Book review: Human Accomplishment: The Pursuit of Excellence in the Arts and Sciences, 800 B.C. to 1950 by Charles Murray.
I was reluctant to read this book but read it because a reading group I belong to selected it. I agree with most of what it says, but was underwhelmed by what it accomplished.
He has compiled an impressive catalog of people who have accomplished excellent feats in arts, science, and technology.
He has a long section arguing that the disproportionate number of dead white males in his list is not a result of bias. Most of this just repeats what has been said many times before. He appears do have done more than most to check authorities of other cultures to verify that their perspective doesn’t conflict with his. But that’s hard to do well (how many different languages does he read well enough to avoid whatever selection biases influence what’s available in English?) and hard for me to verify. He doesn’t ask how his choice of categories (astronomy, medicine, etc) bias his results (I suspect not much).
His most surprising claim is that the rate of accomplishment is declining. He convinced me that he is measuring something that is in fact declining, but didn’t convince me that what he measured is important. I can think of many other ways of trying to measure accomplishment: number of lives saved, number of people whose accomplishment was bought by a million people, number of people whose accomplishment created $100 million in revenues, the Flynn Effect, number of patents, number of peer-reviewed papers, or number of metainnovations. All of these measures have nontrivial drawbacks, but they illustrate why I find his measure (acclaim by scholars) very incomplete. An incomplete measure may be adequate for conclusions that aren’t very sensitive to the choice of measure (such as the male/female ratio of important people), but when most measures fail to support his conclusion that the rate of accomplishment is declining, his failure to try for a more inclusive measure is disappointing.
His research appears careful to a casual reader, but I found one claim that was definitely not well researched. He thinks that “the practice of medicine became an unambiguous net plus for the patient” around the 1920s or 1930s. He cites no sources for this claim, and if he had found the best studies on the subject he’d see lots of uncertainty about whether it has yet become a net plus.

Ending Aging

Book review: Ending Aging: The Rejuvenation Breakthroughs That Could Reverse Human Aging in Our Lifetime by Aubrey de Grey and Michael Rae.
This book makes a strong argument that the most important medical need in developed countries is to cure the damage associated with aging, rather than to combat the diseases which become serious as a result of that damage. It outlines a set of solutions which, if they can be implemented, look like they would add at least a decade or two to healthy lifespans.
All of the solutions look like they have a reasonable chance of being implemented within 20 years. But the probability of all of them working within that time is a good deal lower than the probability of any one solution working, and there’s no obvious way to analyze whether we can get significant health benefits without implementing all of the solutions.
The authors seem somewhat overconfident about most aspects of their proposed solutions, but that doesn’t affect the substance if their arguments very much. Even a small chance of postponing death and disability is worth a good deal of effort.
The parts of the solutions that appear hardest are the ones that rely on techniques similar to what are already being attempted by mainstream scientists (genetic engineering to add and delete genes from most cells in the body, massive use of stem cells, and moving enzymes across the blood-brain barrier). My impressions about the effort that has been put into these techniques and the results that have been produced so far suggest that at least one of these is likely to take much longer than the book asks us to hope for. The book gives one clear example of important research not living up to the hype surrounding it when it gives arguments that most cancer research is directed toward modestly postponing cancer rather than providing a full solution to cancer. I see no obvious way for a layman to tell whether the authors are relying on similarly overhyped research.
So even though the book gives convincing arguments that the goals of medical research ought to be reframed to focus on aging as the primary threat to be solved, it’s far from conclusive about whether that should imply a large change in actual research. It may be that the hardest and most valuable tasks are the ones that are already being worked on. Or it may be that one of the critical tasks is sufficiently hard that the most important need is to invent tools that are substantially more sophisticated than what’s used in existing research (i.e. that we most need something more radical that what’s proposed in the book, such as nanomedicine).