The Flynn Effect

A Theory of Everyone

Posted by Peter on January 12, 2024
Posted in: Book Reviews, Politics, The Flynn Effect, The Human Mind. Leave a Comment

Book review: A Theory of Everyone – The New Science of Who We Are, How We Got Here, and Where We’re Going Energy, culture and a better future for everyone, by Michael Muthukrishna.

I found this book disappointing. An important part of that is because Muthukrishna set my expectations too high.

I had previously blogged about a paper that he co-authored with Henrich on cultural influences on IQ. If those ideas were new in the book, I’d be eagerly writing about them. But I’ve already written enough about those ideas in that blog post.

Another source of disappointment was that the book’s title is misleading. To the limited extent that the book focuses on a theory, it’s the theory that’s more clearly described in Henrich’s The Secret of our Success. A Theory of Everyone feels more like a collection of blog posts than like a well-organized book.

Continue Reading

The Flynn Effect Clarified

Posted by Peter on December 11, 2020
Posted in: The Flynn Effect, The Human Mind. Tagged: , .

I said in my review of WEIRDest People that the Flynn effect seems like a natural consequence of thinking styles that became more analytical, abstract, reductionist, and numerical.

I’ll expand here on some questions which I swept under the rug, so that I could keep that review focused on the book’s most important aspects.

Cultural Bias

After reading WEIRDest People, I find that the goal of a culture-neutral IQ test looks strange (and, of course, WEIRD). At least as strange as trying to fix basketball to stop favoring tall people.

Continue Reading

WEIRDest People

Posted by Peter on November 28, 2020
Posted in: Book Reviews, The Flynn Effect, The Human Mind. Tagged: , , .

Book review: The WEIRDest People in the World, by Joseph Henrich.

Wow!

Henrich previously wrote one of the best books of the last decade. Normally, I expect such an author’s future books to, at best, exhibit regression toward the mean. But Henrich’s grand overview of humanity’s first few million years was merely a modest portion of the ideas that he originally tried to fit into this magnum opus. Henrich couldn’t quite explain in one volume how humanity got all the way to industrial empires, so he split the explanation into two books.

The cartoon version of the industrial revolution: Protestant culture made the West more autistic.

However, explaining the most important event in history makes up only about 25% of this book’s focus and value.

Continue Reading

The Measure of All Minds

Posted by Peter on March 31, 2017
Posted in: Artificial Intelligence, Book Reviews, The Flynn Effect, The Human Mind. Tagged: , , .

Book review: The Measure of All Minds: Evaluating Natural and Artificial Intelligence, by José Hernández-Orallo.

Much of this book consists of surveys of the psychometric literature. But the best parts of the book involve original results that bring more rigor and generality to the field. The best parts of the book approach the quality that I saw in Judea Pearl’s Causality, and E.T. Jaynes’ Probability Theory, but Measure of All Minds achieves a smaller fraction of its author’s ambitions, and is sometimes poorly focused.

Hernández-Orallo has an impressive ambition: measure intelligence for any agent. The book mentions a wide variety of agents, such as normal humans, infants, deaf-blind humans, human teams, dogs, bacteria, Q-learning algorithms, etc.

The book is aimed at a narrow and fairly unusual target audience. Much of it reads like it’s directed at psychology researchers, but the more original parts of the book require thinking like a mathematician.

The survey part seems pretty comprehensive, but I wasn’t satisfied with his ability to distinguish the valuable parts (although he did a good job of ignoring the politicized rants that plague many discussions of this subject).

For nearly the first 200 pages of the book, I was mostly wondering whether the book would address anything important enough for me to want to read to the end. Then I reached an impressive part: a description of an objective IQ-like measure. Hernández-Orallo offers a test (called the C-test) which:

  • measures a well-defined concept: sequential inductive inference,
  • defines the correct responses using an objective rule (based on Kolmogorov complexity),
  • with essentially no arbitrary cultural bias (the main feature that looks like an arbitrary cultural bias is the choice of alphabet and its order)[1],
  • and gives results in objective units (based on Levin’s Kt).

Yet just when I got my hopes up for a major improvement in real-world IQ testing, he points out that what the C-test measures is too narrow to be called intelligence: there’s a 960 line Perl program that exhibits human-level performance on this kind of test, without resembling a breakthrough in AI.
Continue Reading

Hive Mind

Posted by Peter on January 2, 2016
Posted in: Book Reviews, The Flynn Effect. Tagged: , , .

Book review: Hive Mind: How your nation’s IQ matters so much more than your own, by Garett Jones.

Hive Mind is a solid and easy to read discussion of why high IQ nations are more successful than low IQ nations.

There’s a pretty clear correlation between national IQ and important results such as income. It’s harder to tell how much of the correlation is caused by IQ differences. The Flynn Effect hints that high IQ could instead be a symptom of increased wealth.

The best evidence for IQ causing wealth (more than being caused by wealth) is that Hong Kong and Taiwan had high IQs back in the 1960s, before becoming rich.

Another piece of similar evidence (which Hive Mind doesn’t point to) is that Saudi Arabia is the most conspicuous case of a country that became wealthy via luck. Its IQ is lower than countries of comparable wealth, and lower than neighbors of similar culture/genes.

Much of the book is devoted to speculations about how IQ could affect a nation’s success.

High IQ is associated with more patience, probably due to better ability to imagine the future:

Imagine two societies: one in which the future feels like a dim shadow, the other in which the future seems a real as now. Which society will have more restaurants that care about repeat customers? Which society will have more politicians who turn down bribes because they worry about eventually getting caught?

Hive Mind describes many possible causes of the Flynn Effect, without expressing much of a preference between them. Flynn’s explanation still seems strongest to me. The most plausible alternative that Hive Mind mentions is anxiety and stress from poverty-related problems distracting people during tests (and possibly also from developing abstract cognitive skills). But anxiety / stress explanations seem less likely to produce the Hong Kong/Taiwan/Saudi Arabia results.

Hive Mind talks about the importance of raising national IQ, especially in less-developed countries. That goal would be feasible if differences in IQ were mainly caused by stress or nutrition. Flynn’s cultural explanation points to causes that are harder for governments or charities to influence (how do you legislate an increased desire to think abstractly?).

What about the genetic differences that contribute to IQ differences? The technology needed to fix that contributing factor to low IQs is not ready today, but looks near enough that we should pay attention. Hive Mind implies [but avoids saying] that potentially large harm from leaving IQ unchanged could outweigh the risks of genetic engineering. Fears about genetic engineering of IQ often involve fears of competition, but Hive Mind shows that higher IQ means more cooperation. More cooperation suggests less war, less risk of dangerous nanotech arms races, etc.

It shouldn’t sound paradoxical to say that aggregate IQ matters more than individual IQ. It should start to seem ordinary if more people follow the example of Hive Mind and focus more attention on group success than on individual success as they relate to IQ.

Uploaded Bonobos

Posted by Peter on November 6, 2015
Posted in: Artificial Intelligence, The Flynn Effect. Tagged: , , , .

I’d like to see more discussion of uploaded ape risks.

There is substantial disagreement over how fast an uploaded mind (em) would improve its abilities or the abilities of its progeny. I’d like to start by analyzing a scenario where it takes between one and ten years for an uploaded bonobo to achieve human-level cognitive abilities. This scenario seems plausible, although I’ve selected it more to illustrate a risk that can be mitigated than because of arguments about how likely it is.

I claim we should anticipate at least a 20% chance a human-level bonobo-derived em would improve at least as quickly as a human that uploaded later.

Considerations that weigh in favor of this are: that bonobo minds seem to be about as general-purpose as humans, including near-human language ability; and the likely ease of ems interfacing with other software will enable them to learn new skills faster than biological minds will.

The most concrete evidence that weighs against this is the modest correlation between IQ and brain size. It’s somewhat plausible that it’s hard to usefully add many neurons to an existing mind, and that bonobo brain size represents an important cognitive constraint.

I’m not happy about analyzing what happens when another species develops more powerful cognitive abilities than humans, so I’d prefer to have some humans upload before the bonobos become superhuman.

A few people worry that uploading a mouse brain will generate enough understanding of intelligence to quickly produce human-level AGI. I doubt that biological intelligence is simple / intelligible enough for that to work. So I focus more on small tweaks: the kind of social pressures which caused the Flynn Effect in humans, selective breeding (in the sense of making many copies of the smartest ems, with small changes to some copies), and faster software/hardware.

The risks seem dependent on the environment in which the ems live and on the incentives that might drive their owners to improve em abilities. The most obvious motives for uploading bonobos (research into problems affecting humans, and into human uploading) create only weak incentives to improve the ems. But there are many other possibilities: military use, interesting NPCs, or financial companies looking for interesting patterns in large databases. No single one of those looks especially likely, but with many ways for things to go wrong, the risks add up.

What could cause a long window between bonobo uploading and human uploading? Ethical and legal barriers to human uploading, motivated by risks to the humans being uploaded and by concerns about human ems driving human wages down.

What could we do about this risk?

Political activism may mitigate the risks of hostility to human uploading, but if done carelessly it could create a backlash which worsens the problem.

Conceivably safety regulations could restrict em ownership/use to people with little incentive to improve the ems, but rules that looked promising would still leave me worried about risks such as irresponsible people hacking into computers that run ems and stealing copies.

A more sophisticated approach is to improve the incentives to upload humans. I expect the timing of the first human uploads to be fairly sensitive to whether we have legal rules which enable us to predict who will own em labor. But just writing clear rules isn’t enough – how can we ensure political support for them at a time when we should expect disputes over whether they’re people?

We could also find ways to delay ape uploading. But most ways of doing that would also delay human uploading, which creates tradeoffs that I’m not too happy with (partly due to my desire to upload before aging damages me too much).

If a delay between bonobo and human uploading is dangerous, then we should also ask about dangers from other uploaded species. My intuition says the risks are much lower, since it seems like there are few technical obstacles to uploading a bonobo brain shortly after uploading mice or other small vertebrates.

But I get the impression that many people associated with MIRI worry about risks of uploaded mice, and I don’t have strong evidence that I’m wiser than they are. I encourage people to develop better analyses of this issue.

The Beginning of Infinity

Posted by Peter on April 20, 2012
Posted in: Artificial Intelligence, Book Reviews, Life, the Universe, and Everything, Science and Technology, The Flynn Effect. Tagged: , , .

Book review: The Beginning of Infinity by David Deutsch.

This is an ambitious book centered around the nature of explanation, why it has been an important part of science (misunderstood by many who think of science as merely prediction), and why it is important for the future of the universe.

He provides good insights on jump during the Enlightenment to thinking in universals (e.g. laws of nature that apply to a potentially infinite scope). But he overstates some of its implications. He seems confident that greater-than-human intelligences will view his concept of “universal explainers” as the category that identifies which beings have the rights of people. I find this about as convincing as attempts to find a specific time when a fetus acquires the rights of personhood. I can imagine AIs deciding that humans fail often enough at universalizing their thought to be less than a person, or that they will decide that monkeys are on a trajectory toward the same kind of universality.

He neglects to mention some interesting evidence of the spread of universal thinking – James Flynn’s explanation of the Flynn Effect documents that low IQ cultures don’t use the abstract thought that we sometimes take for granted, and describes IQ increases as an escape from concrete thinking.

Deutsch has a number of interesting complaints about people who attempt science but are confused about the philosophy of science, such as people who imagine that measuring heritability of a trait tells us something important without further inquiry – he notes that being enslaved was heritable in 1860, but that was useless for telling us how to change slavery.

He has interesting explanations for why anthropic arguments, the simulation argument, and the doomsday argument are weaker in a spatially infinite universe. But I was disappointed that he didn’t provide good references for his claim that the universe is infinite – a claim which I gather is controversial and hasn’t gotten as much attention as it deserves.

He sometimes gets carried away with his ambition and seems to forget his rule that explanations should be hard to vary in order to make it hard to fool ourselves.

He focuses on the beauty of flowers in an attempt to convince us that beauty is partially objective. But he doesn’t describe this objective beauty in a way that would make it hard to alter to fit whatever evidence he wants it to fit. I see an obvious alternative explanation for humans finding flowers beautiful – they indicate where fruit will be.

He argues that creativity evolved to help people find better ways of faithfully transmitting knowledge (understanding someone can require creative interpretation of the knowledge that they are imperfectly expressing). That might be true, but I can easily create other explanations that fit the evidence he’s trying to explain, such as that creativity enabled people to make better choices about when to seek a new home.

He imagines that he has a simple way to demonstrate that hunter-gatherer societies could not have lived in a golden age (the lack of growth of their knowledge):

Since static societies cannot exist without effectively extinguishing the growth of knowledge, they cannot allow their members much opportunity to pursue happiness.

But that requires implausible assumptions such as that happiness depends more on the pursuit of knowledge than availability of sex. And it’s not clear that hunter-gatherer societies were stable – they may have been just a few mistakes away from extinction, and accumulating knowledge faster than any previous species had. (I think Deutsch lives in a better society than hunter-gatherers, but it would take a complex argument to show that the average person today does).

But I generally enjoyed his arguments even when I thought they were wrong.

See also the review in the New York Times.

Create Your Own Economy (?)

Posted by Peter on August 21, 2009
Posted in: Book Reviews, The Flynn Effect, The Human Mind. Tagged: , , .

Book review: Create Your Own Economy: The Path to Prosperity in a Disordered World by Tyler Cowen.

This somewhat misleadingly titled book is mainly about the benefits of neurodiversity and how changing technology is changing our styles of thought, and how we ought to improve our styles of thought.

His perspective on these subjects usually reflects a unique way of ordering his thoughts about the world. Few things he says seem particularly profound, but he persistently provides new ways to frame our understanding of the human mind that will sometimes yield better insights than conventional ways of looking at these subjects. Even if you think you know a good deal about autism, he’ll illuminate some problems with your stereotypes of autistics.

Even though it is marketed as an economics book, it only has about one page about financial matters, but that page is an eloquent summary of two factors that are important causes of our recent problems.

He’s an extreme example of an infovore who processes more information than most people can imagine. E.g. “Usually a blog will fail if the blogger doesn’t post … at least every weekday.” His idea of failure must be quite different from mine, as I more often stop reading a blog because it has too many posts than because it goes a few weeks without a post.

One interesting tidbit hints that healthcare costs might be high because telling patients their treatment was expensive may enhance the placebo effect, much like charging more for a given bottle of wine makes it taste better.

The book’s footnotes aren’t as specific as I would like, and sometimes leave me wondering whether he’s engaging in wild speculation or reporting careful research. His conjecture that “self-aware autistics are especially likely to be cosmopolitans in their thinking” sounds like something that results partly from the selection biases that come from knowing more autistics who like economics than autistics who hate economics. I wish he’d indicated whether he found a way to avoid that bias.