The Beginning of Infinity, Part 1
A collection of all the episodes on The Beginning of Infinity .
Science Is the Engine That Pulls Humanity Forward
“Believe in science” is an oxymoron
Naval: Welcome, Brett , to the eponymous Naval podcast. The topic that we started out on was the timeless principles of wealth creation. And then we touched a little bit on internal happiness and peace and well-being.
I’m first and foremost a student of science. I’m a failed physicist, in the sense that I loved physics, I wanted to pursue it, but I never felt I was going to be great at it. I was more pulled into technology, which is applied science.
Nevertheless, I remain a student of science. I remain fascinated by it. All of my real heroes are scientists, because I believe science is the engine that pulls humanity forward.
We’re lucky to live in an age when scientific and technological progress seem not likely, but inevitable. We’ve gotten used to this idea that life always gets better.
Despite all the complaining about how productivity growth is stagnant, the reality is, anyone who owns a smartphone or drives a car or even lives in a house has seen technology improve their quality of life over and over again. We take this progress for granted, and it’s thanks to science.
To me, science is also the study of truth. What do we know to be true? How do we know something to be true? As I get older, I find myself incapable of having an attention span for anything that isn’t steeped in the truth.
The background on this particular podcast series is that I thought I knew a lot about science. And there was a lot about science that I took for granted, such as what a scientific theory is and how scientific theories are formed.
Most of us have a vague idea of it. Some people think science is what scientists do, which has a definitional problem. What is a scientist? Other people think science is making falsifiable or testable predictions, and maybe that’s closer to it. Sometimes people say, “It’s the scientific method.” And what is the scientific method? And then they start describing their junior high school chemistry experiment and lose the trail after that.
Especially these days, when we’re told to “believe in science”—which is an oxymoron—people respect science, but they don’t understand what science is.
The idea of what science is gets hijacked, sometimes by well-meaning people who want to convince you of the science and sometimes by not so well-meaning people who want to influence the way that you think and feel and act.
The Beginning of Infinity
David Deutsch’s book expanded my repertoire of reasoning
Naval: I was pleasantly surprised a couple of years back when I opened an old book that I’d read a decade ago called The Beginning of Infinity by David Deutsch .
Sometimes you read a book and it makes a difference right away. Sometimes you read a book and you don’t understand it; then you read it at the right time and it makes a difference.
This time I went through it much more meticulously than I had in the past. Rather than reading it to say I was done reading it, I read it to understand the concepts and stopped at every point where something was new. It started re-forming my worldview. It changed the way that I think.
I credit this book as being the only book in the last decade—except maybe a few of Nassim Taleb’s works and maybe one or two other scattered books—that made me smarter. They literally expanded the way that I think. They expanded not just the repertoire of my knowledge but the repertoire of my reasoning.
People throw around the phrase “ mental models ” a lot. Most mental models aren’t worth reading or thinking about or listening to because they’re trivial. But the concepts that came out of The Beginning of Infinity are transformational because they very convincingly change the way that you look at what is true and what is not.
Karl Popper laid out the theory of what is scientific and what is not; what is a good explanation and what is not.
Deutsch dramatically expands on that in The Beginning of Infinity . The wide-ranging nature that he covers is incredible. He covers epistemology—which is the theory of knowledge—quantum mechanics, multiverse theory, infinity, mathematics, the reach of what is knowable and what is not knowable, universal explanations, the theory of computation, what is beauty, what systems of politics work better, how to raise your children, and more.
These are all-encompassing, long-range philosophical ideas.
Nullius in Verba
Take no one’s word for it
Naval:
The Beginning of Infinity is not an easy book to read. Deutsch wrote it for other physicists and philosophers. He has a certain peer group that he respects, and that respects him, and he has to meet them at their level.
I wanted to understand the principles in the book so I could confirm or refute them for myself. I love the old motto from the Royal Society, “ Nullius in Verba ,” which means, “Take no one’s word for it.” In other words, figure it out yourself. That’s the only way to know anything.
To do that, I was reading the book and started reading blog posts on it. Eventually I came across Brett Hall and started listening to his podcast, ToKCast , which stands for the “Theory of Knowledge-Cast.” I’ve brought him on this podcast to discuss the ideas in The Beginning of Infinity .
Brett, listening to your podcast helped me clarify a lot of these principles. I would love to explore the depth, clarity, reach, and importance of these ideas. Then hopefully someone out there can become smarter by it.
Brett Hall: Hello Naval, it’s great to be here. You’ve raised so many interesting aspects of The Beginning of Infinity , which has become a real passion of mine. Like a lot of people who enter science, when I was at school I thought, “Well, I want to be an astronomer, so I’ll go to a university and do a physics degree, then do an astronomy degree, and then become a professional astronomer.”
One day I picked up David Deutsch’s The Fabric of Reality in a bookstore and started reading it. The first chapter described what I was trying to achieve in my life. It was putting into words what I felt my university studies and my general outlook on life was about.
Deutsch says that the ancient philosophers thought they could get an understanding of the entire world. As time passed, though, modern science made it seem as though this was an impossible project. There’s no way you could understand everything about reality. There’s too much to know.
How could you possibly know everything?
Explanations That Reach the Entire Universe
We can understand anything that can be understood
Brett: At the beginning of The Fabric of Reality , David Deutsch presents this idea that you don’t need to know every single fact to fundamentally understand everything that can be understood.
He presents this vision that there are four fundamental theories from science and outside science: quantum theory, the theory of computation, evolution by natural selection, and epistemology—which is the theory of knowledge. Together they form the worldview, or lens, through which you can understand anything that can be understood.
Naval: I saw a beautiful video with him on YouTube where he was making the same points. He said, “You don’t have to memorize and know every fact. You don’t have to know where every particle moved. If you understand the deep underlying theories behind everything, then you know at a high level how everything works.” And this can all be understood by a single person, a single brain, a single human being. It’s accessible to anybody.
That is a jaw-droppingly powerful idea. We can have explanations that can reach the entire universe. It’s interesting that the theory of relativity is not in the list of four theories.
Brett: Deutsch regards quantum theory as being deeper than the theory of relativity. It’s not to say that we’re dismissing relativity, but his guess is that quantum theory will be more foundational than the theory of relativity. There’ll be a space-time of the multiverse, and the multiverse is David’s explanation of quantum theory. That’s why relativity doesn’t appear among them.
At some point most physicists expect that we’re going to have a unification of quantum theory and the theory of relativity.
Read the Best 100 Books Over and Over Again
Many claim to read, but very few understand
Naval: The Beginning of Infinity reminds me the most of Gödel, Escher, Bach in that it is very wide-ranging and stitches together ideas from many different disciplines. It’s very difficult to understand and follow completely. Everyone claims to have read it, but, as far as I can tell, very few people understand it.
I had this experience in college when I first found Hofstadter’s work. I remember that I put it on my bookshelf and I started reading it, and I started reading it, and I started reading it. About a year later, I was probably halfway through it. Then I just ran out of time. I had other things going on.
I remember that I would approach my other friends in college and would say, “This is a great book, you should read it.” And a week later they’d roll back and say, “Yeah, I read Gödel, Escher, Bach. It was great.” And I felt like the stupidest person in college.
It was only years later that I realized nobody had read it. When you get older, you get more confident in those confessionals, where you either say, “I didn’t read it” or “I read it at a constant pace and when I encountered something I didn’t understand, I kept going.”
I confess, to this day I have not read all of Gödel, Escher, Bach. But at least at this point, I’ve gone through and found the parts that were most interesting to me—which were the Gödel parts—and did read those and try to understand them. I skipped the parts that were not as interesting to me—which were the Bach parts.
The Beginning of Infinity is similar. Everybody in my social circle has it on their bookshelf. Many claim to have read it, but very few have gotten it.
I go back to this point that was first eloquently stated on Twitter by a character named @illacertus , who essentially wrote,“ I don’t want to read all the books; I just want to read the best 100 over and over again. ”
I’m currently stuck in a loop where, at least in science, I’m only going to read The Beginning of Infinity and The Fabric of Reality over and over again until I understand them fully. If I had read them 20 years ago, I would know a lot more, because then I would have chosen the right books and the right authors to read subsequently.
It’s a hard book to follow. You should buy the hardcover and electronic versions, so you have it all.
Brett: And the audio version.
Naval: Get it every way possible. If you can get through it in the first sitting and understand all the points at a deep level, then congratulations. But if not, we’re hoping to break it down for you.
We’re at the Beginning of an Infinity of Knowledge
Progress is inevitable as long as we have good explanations
Brett: The difference with The Beginning of Infinity is you’re getting a worldview. You’re not getting the standard take from physicists about how to understand quantum theory. You’re not getting the standard take of how to understand knowledge from philosophers. And you’re certainly not getting the standard take of how to understand mathematics from mathematicians.
Deutsch is an expert in all these areas.
Naval: What’s at the core of the worldview?
Brett: Deutsch’s worldview is that reality is comprehensible. Problems are solvable, or “soluble,” as he writes. It’s a deeply rationally optimistic worldview that believes in good scientific explanations and progress.
Progress is inevitable as long as we have these good explanations. Good explanations have tremendous reach. They are acts of creativity.
Humans are problem solvers and can solve all problems. All sins and evil are due to a lack of knowledge. One can be optimistic about constant progress. That’s what the title refers to: We’re at the beginning of an infinite series of progress.
It’s a very optimistic take. It states that we are at home in the universe and the universe is ours as a resource to learn about and exploit; that material wealth is a set of physical transformations that we can affect; that everything that is not forbidden by the laws of physics is eventually possible through knowledge and knowledge creation.
He also writes about how humans are universal explainers, that anything that can be known and understood can be known and understood by human beings in the computation power of a human system.
Everything is knowable by humans. We’re at the beginning of an infinity of knowledge.
We understand things using good explanations and constantly replace old theories with better ones. There’s no endpoint in sight. There’s no perfection. Every theory can be falsified eventually and improved.
We are on our way to being able to do everything that is not forbidden by the laws of physics.
People Are a Force of Nature
We create knowledge that transforms the universe
Brett: Knowledge is what transforms the world. We can take some raw material that has no particular use and within that raw material, we can find uranium nuclei, which then can be used to create bombs or energy in a nuclear reactor. We can find within something that for almost the entire geological existence of the earth sat there inert and would have done nothing, absent people. People are the entities within the universe that create explanations. They’re able to explain what raw materials might be transformed into.
Now, what are they transforming these raw materials into? Civilization. People creating knowledge end up becoming literally a force of nature.
If we seek to explain something like the shape of a galaxy or the shape of a star, any astrophysicist will give you a story based upon the laws of physics about how gravity will pull things into spheres, how the laws of thermodynamics will cause certain kinds of gas to heat up and expand. All of the known laws of physics are sufficient to explain what we see out there in the cosmos.
But the laws of physics alone will not be able to explain the appearance of Manhattan. You have to invoke things other than merely the fundamental laws of physics. You need to invoke the existence of people and their capacity to explain the world scientifically, philosophically and politically. It’s all of those things that will come together to explain why we have certain structures like skyscrapers in Manhattan.
This is a profound idea. It’s an idea that seems to have been overlooked by scientists, many of whom have a reductionist idea about how to explain what we see in our environment. They seek to explain only the natural phenomena that are in an environment.
Of course, everyone wants to know how the laws of nature work. But if we want to understand how the universe is going to evolve over time, whether it’s locally on our own planet or, eventually, the galaxy, we’re going to have to talk about the knowledge that people create and the choices that they’re going to make into the future.
This is a different vision of the place of people in the universe.
It’s Impossible to Predict the Growth of Knowledge
The laws of physics can’t predict the future
Brett: Stephen Hawking famously said, “ The human race is just a chemical scum on a moderate-sized planet, orbiting around a very average star in the outer suburb of one among a hundred billion galaxies. We are so insignificant that I can’t believe the whole universe exists for our benefit. ” This vision of what people are, and of what the planet Earth is, is true in a trivial sense, but it misses the point that people are a kind of hub. We are, so far as we know, the sole place in the universe that is creating knowledge, an open-ended stream of knowledge that could transform the rest of reality.
In the same way that gravity is able to pull a galaxy into a particular shape, knowledge in the future will be able to shape the course of the planet, the solar system and, eventually, the galaxy. We will have a profound impact on everything that we can see around us. There’s nothing the laws of physics, the laws of chemistry, or even the laws of biology can do to predict what is going to happen in the future.
It’s impossible to predict the future growth of knowledge. That’s the nature of knowledge, because knowledge creation is genuinely an act of creation. It is bringing something into existence that wasn’t there prior.
Naval: If you could predict it, you would have invented it already. A lot of our deeply pessimistic world views come from a straight-line linear extrapolation of negative trends while ignoring positive trends. Positive trends mostly come through creativity and knowledge creation, and it’s inherently unpredictable.
Every generation has its doomsayers, Cassandras , and modern Malthusians who say, “On this trajectory, we’re all going to die.” They’re very popular for the same reason that zombie movies and vampire movies are popular. But the reality is that they cannot predict what we’re going to do in the future that is going to improve our quality of life and save us from inevitable ruin.
Humans Are Unique in Our Ability to Understand Things
Knowledge is in the observer, not the observed
Naval: The value is in the knowledge, and the knowledge is inside the observer and the creator, in other words, a human. It’s not inside the thing itself. For example, oil is useless unless you know how to refine it, burn it, and use it for combustion. Information is useless unless there’s a brain there to receive it.
There could be a signal broadcasting English into outer space, but if there isn’t a creature capable of understanding what that language is, how it works, and who’s conveying it, then it’s just modulated electromagnetic frequencies that don’t mean anything. So a lot of the information—a lot of the value—is within a particular knowledge-bearing entity.
As the reach of science grows, we have gotten to a very reductive science where we break things down to smaller and smaller pieces. Then we try and explain things on the basis of that. There is a counter-trend in science, complexity theory , where we talk about emergent properties and higher-level systems. They’re looking at systems as they operate chaotically and unpredictably at a micro-level; but at a macro-level we can make certain statements about them that do have explanatory power.
Humans are unique in our capability to understand things.
Good Explanations Are Acts of Creativity
They’re not derived from looking at the past
Naval: There’s a phrase you’ll hear Brett and I use over and over again: “good explanations.” Good explanations are Deutsch’s improvement upon the scientific method.
At the same time, it’s beyond science. It’s not just true in science but in all of life. We navigate our way through life, and we do it successfully by creating good explanations. If you take away nothing else, try and understand what a good explanation is.
A good explanation, first and foremost, is testable or falsifiable. You can run an experiment in the real world to see if it’s true or not. Even stepping back from that, it’s a creative explanation. It looks at something that’s going on in the real world and says, “This is why it’s happening.” It is a creative leap that says, “This is the underlying explanation for how the thing works.”
For example, when I’m watching a sunset with my young kids, I ask them: “Is the sun going somewhere? Is it moving? Or is it that maybe we’re moving, and we’re moving in such a way that it looks like the sun is setting?” Which is the proper explanation?
Looking at it naively, you would think the sun is hurtling across the sky and going around the Earth. But that’s not the only explanation. There’s a completely creative explanation that seems to fly in the face of the obvious observation of the sun’s movement but could also fit the facts—but it requires some creativity. That explanation is that the Earth is rotating.
Good explanations don’t have to be obvious. They’re not derived from just looking at what happened in the past. Rather, they are testable. There are experiments we can run to figure out if it’s the sun that is going around the earth or if it’s the Earth turning.
Good Explanations Are Hard to Vary
They should make risky and narrow predictions
Naval: Brett, would you say that a scientific theory is a subset of a good explanation?
Brett: Yes. They’re the testable kinds of good explanations. Falsifiable theories are actually a dime a dozen. This doesn’t tell you anything about the quality of the explanation you’re being given.
The example that’s used in The Fabric of Reality is the grass cure for the common cold. If someone says, “If you eat 1 kg of grass, it will cure your common cold,” then they have a testable theory. The problem is that no one should test it. Why? Because they haven’t explained the mechanism that would enable grass to cure the common cold. And if you do eat 1 kg of grass and it doesn’t cure your cold, they can turn around and say, “1.1 kg might do it.”
Naval: Right. Or you need a different kind of grass.
Brett: It’s always testable, but you’re not making any progress.
Naval: The second piece of a good explanation is that it’s hard to vary. It has to be very precise, and there has to be a good reason for the precision.
The famous example used in The Beginning of Infinity is the explanation for why we have seasons. There’s the old Greek explanation that it’s driven by Persephone, the goddess of spring, and when she can leave Hades. There was this whole theory involving gods and goddesses. Not only was that not easily testable, it was very easy to vary. Persephone could have been Nike, and Hades could have been Jupiter or Zeus. It’s very easy to vary that explanation without the predictions changing.
Whereas, if you look at the axis tilt theory—which says Earth is angled at 23 degrees relative to the sun and therefore we’d expect the sun to rise here in the winter and over there in the summer—the facts of that are very hard to vary. It makes risky and narrow predictions. The axis tilt theory can predict the exact length of summer and winter at different latitudes, and you can test that precisely.
Beyond it being a creative theory that is testable and falsifiable, it should be hard to vary the pieces of that theory without essentially destroying the theory. And you certainly don’t want to vary it after the fact—like in your grass example, “Oh, it was 1 kg? No, now it’s 1.1, now it’s 1.2.”
Finally, the predictions that it makes should be narrow and precise, and they should be risky. For example, I believe in relativity it was Eddington who did the experiment and showed that starlight gets bent around an eclipse. And that was a prediction that Einstein had made in relativity, which turned out to be true. That was a risky prediction that took a long time to confirm.
There Is No End of Science
We can keep on making progress
Brett: Eddington’s experiment is an excellent example of what’s called a crucial test , which is sort of the pinnacle of what science is all about.
If we do a test and it doesn’t agree with a particular theory that we have, that’s problematic. But that doesn’t mean that it refutes the theory. If you were to refute the only theory that you have, where do you jump to? You don’t have any alternative.
If we were to do a scientific test tomorrow and it was inconsistent with the theory of general relativity, then what? There is no alternative to general relativity. In fact, there have been experiments over the years that seem to have been inconsistent with general relativity. Guess what? They’ve all turned out to be faulty. If you had to choose between whether or not general relativity has been refuted by your test or your test is flawed, go with the fact that your test is flawed.
In the case of Eddington’s experiment, we had two viable theories for gravity. We had Newton’s theory of universal gravitation on the one hand and we had Einstein’s general theory of relativity on the other.
The experiment you described of how much the light bends during a solar eclipse is the correct way of describing what happened. It is not that we showed that general relativity was correct in some final sense; rather, we refuted Newton’s theory of gravitation. Newton’s theory was ruled out because it was inconsistent with the test, while general relativity was consistent with the test.
This doesn’t mean that general relativity is the final word in science. It means that it’s the best theory we have for now, and there’s a whole bunch of reasons that we might think general relativity ultimately has to be false in the final analysis. This is another aspect of the world view that we never have the final word—and that’s a good thing. That’s optimistic because it means we can keep improving, we can keep making progress, and we can keep discovering new things. There is no end of science.
People have feared that one day progress will come to a halt, that science will end. In fact, we are at the beginning of infinity, and we will always be at the beginning of infinity precisely because we can improve our ideas.
We’re fallible human beings. None of our theories is perfect, because we aren’t perfect. The process by which we create knowledge isn’t perfect, either. It’s error-prone.
There Is No Settled Mathematics
Proofs are not certainties
Naval: There are two other scientific thinkers who I like who come to similar conclusions as Deutsch.
One is
Nassim Taleb , who popularized the idea of the black swan , which is that no number of white swans disproves the existence of a black swan. You can never conclusively say all swans are white. You can never establish a final truth. All you can do is work with the best explanation you have today, which is still far better than ignorance. At any time a black swan can show up and disprove your theory, and then you have to go find a better one.
The other one I find fascinating is Gregory Chaitin . He is a mathematician very much in the vein of Kurt Gödel because he explores the limits and boundaries of what is possible in mathematics. One of the points that he makes is that Gödel’s incompleteness theorem doesn’t say that mathematics is junk; the theorem isn’t a cause for despair. Gödel’s incompleteness theorem says that no formal system—including mathematics—can be both complete and correct. Either there are statements that are true that cannot be proven true in the system, or there will be a contradiction somewhere inside the system.
This could be a cause of despair for mathematicians who view mathematics as this abstract, perfect, fully self-contained thing. But Chaitin makes the argument that, actually, it opens up for creativity in mathematics. It means that even in mathematics you are always one step away from falsifying something and then finding a better explanation for it. It puts humans and their creativity and their bid to find good explanations back at the core of it.
At some deep level, mathematics is still an art. Of course, very useful things come out of mathematics. You’re still building an edifice of knowledge, but there is no such thing as a conclusive, settled truth. There is no settled science, there is no settled mathematics. There are good explanations that will be replaced over time with more good explanations that explain more of the world.
Brett: This is something that we inherit from our schooling more than anything else. It’s part of our academic culture, and it bleeds into the wider culture as well. People have this idea that mathematics is this pristine area of knowledge where what is proved to be true is certainly true.
Then you have science, which doesn’t give you certain truth but you can be highly confident in what you discover. You can use experiments to confirm that what you’re saying appears to be correct, but you might be wrong. And then, of course, there’s philosophy, which is a mere matter of opinion.
This is the hierarchy that some people inherit from school: Mathematics is certain, science is almost certain, and the rest of it is more or less a matter of opinion. This is what Deutsch calls the mathematician’s misconception. Mathematicians have this intuitive way of realizing that their proof—the theorem they have reached by this method of proof—is absolutely, certainly true.
In fact, it’s a confusion between the subject matter and their knowledge of the subject matter.
The Methods of Mathematics Are Fallible
Even if the subject matter is not
Brett: If I compare math to physics: We have this domain called particle physics, and the deepest theory we have in particle physics is called the standard model. This describes all of the fundamental particles that exist and the interactions between them, the forces that exist between them, and the gauge bosons, which mediate the force between particles like electrons, protons and neutrons.
Now, what is matter made of? We would say matter is made of these particles described by the standard model of physics. But does that rule out the fact that these fundamental particles might themselves consist of even smaller particles? We have a possibly deeper theory called string theory . So our knowledge of what the most fundamental particles are and what, in reality , the most fundamental particles are, is different.
So, too in mathematics. Deutsch explains that mathematics is a field where what we’re trying to uncover is necessary truth . The subject matter of mathematics is necessary truth, in the same way that the subject matter of particle physics is the fundamental particles.
But since the subject matter of fundamental particle physics is the fundamental particles, that doesn’t mean you actually find the fundamental particles. All it means is that you have found the smallest particles that your biggest particle accelerators are able to resolve.
But if you had an even bigger particle accelerator, you might find particles within those particles.
This has been the history of particle physics. We used to think that atoms were fundamental. Then, of course, we found they contained nuclei and electrons. In the nuclei, we found out that there were protons and neutrons. Inside the protons and neutrons, we found out they were made up of quarks . And that’s where we’re at right now. We’re at the point where we say that quarks are fundamental and electrons and fundamental.
But that doesn’t mean that we’re going to end particle physics right now. What we need are further theories about what might be inside of those really small particles.
Comparing that to mathematics, if necessary truth is the subject matter of mathematics, mathematicians are engaged in creating knowledge about necessary truth. Because a mathematician has a brain—which is a physical object—and all physical objects are subject to making errors of degradation via the second law of thermodynamics—or simply the usual mental mistakes and errors that any human being makes—a mathematician is just as fallible as anyone else. So what they end up proving could be in error.
Naval: If I understand this point, even mathematics is capable of error because mathematics is a creative act. We’re never quite done. There could have been a mistake in your axiom somewhere.
All Knowledge Is Conjectural
Be skeptical of absolute certainty
Brett: All knowledge is conjectural. It’s always being guessed. It’s our best understanding at any given time.
You’re right to say that the axioms might be incorrect. How do we know that an axiom is incorrect? Traditionally the answer has been, “Because it’s clearly and obviously the case.” How can you prove that x plus zero must equal x? You just have to accept that it’s true.
But consider something like Euclid’s Elements . Anyone might want to try this experiment for themselves: Take a piece of paper, take a pen, draw two dots on the piece of paper. Now, how many unique straight lines can you draw through those two dots? It should be fairly obvious to you that only one line can be drawn. However, we know that’s false.
Reflect on the fact that as you’re staring at the piece of paper, through which only one straight line is being drawn, you have the feeling of certainty. You are absolutely sure that you’re not wrong. This feeling is something we should always be skeptical of. When people have been absolutely certain, even in a domain as apparently full of certainty as mathematics, they’ve been shown to be wrong.
So how can we show it’s wrong? You might think that I’m cheating, but, then again, you have to reflect on whether you understood what I was saying when I first told you to draw a unique straight line through two points. Bend the piece of paper. Think in three dimensions. Wrap the piece of paper around a basketball if you have one. Now consider the ways in which you could draw a straight line through those two points.
You could punch a hole through one of those dots with your pen and push it out through the other side through the other hole—and now you have a different straight line. You have the straight line that is drawn with your pen, and you have a straight line that is literally your pen pushed through these two dots.
Your initial feeling of absolute certainty that only a unique line could be drawn through these two dots is false. You might be thinking, “That’s unfair, that’s cheating.” You were thinking in two dimensions. I wasn’t. I was thinking in more dimensions than that.
Karl Popper has this wonderful saying, “ It is impossible to speak in such a way that you cannot be misunderstood. ” This is always the case.
Even in mathematics, where we try to be as precise as possible, it’s possible for people to make errors, to think false premises about what argument they’re trying to make.
This particular example of Euclidean geometry—because geometry was traditionally done in two dimensions on a piece of paper—was resolved by various people and led to geometry in curved space, which led to Einstein coming up with the general theory of relativity.
So it is questioning these deepest assumptions we have—where we think there’s no possible way we could be mistaken—that leads to true progress and to a genuine, fundamental change in the sciences and everywhere else.
Is the Universe Discrete or Continuous?
Quantum theory and relativity disagree
Naval: You said that we went from atoms in the time of Democrates, down to nuclei, and from there to protons and neutrons, and then to quarks. It’s particles all the way down, to paraphrase Feynman. We can keep going forever. But it’s not quite forever, right? At some point you run into the Planck length .
Brett: There’s the Planck time, there’s the Planck length, there’s even the Planck mass, which is actually quite a large mass. These things don’t have any physical significance. It’s not like the Planck time is the shortest possible time, and it’s not like the Planck length is the shortest possible length. The reason for that is because these Planck things are part of quantum theory. But length is not described by quantum theory. It’s described by the general theory of relativity . And in that theory, space is infinitely divisible. There is no smallest possible length or time.
This illuminates an ancient tension between the discrete and the continuous. Quantum theory seems to suggest that things are discrete. For example, there’s the smallest possible particle of gold, the gold atom. There’s the smallest possible particle of electricity, the electron. There’s the smallest possible particle of light, the photon. In quantum theory, we have this idea of discreteness, that there is the smallest possible thing from which everything else is built.
But in general relativity, the idea is the opposite. It says things can continuously vary, and the mathematics requires that things be continuously variable so they can be differentiated and so on. The idea is that you can keep on dividing up space and you can keep on dividing up time.
Physicists understand that there is this contradiction at the deepest level of our most foundational explanations in physics. It’s one of the reasons why there are these attempts to try and unify quantum theory and general relativity. What is the fundamental nature of reality? Is it that things can be infinitely divisible, or is that we must stop somewhere or other? If it’s infinitely divisible, then quantum theory might have to be subservient to general relativity. We just don’t know.
Every Theory Is Held Inside a Physical Substrate
You’re always bound by the laws of physics
Naval: There goes my solution for Zeno’s paradox , which says before you can get all the way somewhere, you have to get halfway there. And before you can get halfway there, you have to get a quarter of the way there, and therefore, you’ll never get there.
One way to get past that is to say even a series of infinite things can have a finite sum. You run the infinite series and sum it, and we learn pretty early on that it converges. Another thought I had was that you have to cover a minimum distance, the Planck length , and therefore you will get there. It’s a finite series of steps. But you’re saying we just don’t know.
Brett: If the laws of physics say that we can cover one meter in a certain time period, then that’s exactly what we’ll do. And our current understanding of the laws of physics says precisely that. So Zeno’s paradox is resolved simply by saying that we can cover this space in this amount of time. It’s silent on whether or not space is infinitely divisible.
When someone asks, “Is space infinitely divisible?” Then I would say, “
Yes, it is.
” They might turn around and say, “ How do you know? ” And I would say, “ General relativity. ” How do I know that’s true? Well, I don’t know that it’s true. However, it is the best explanation that we presently have of space-time. And then they might get into a discussion about, “ Well, if it’s infinitely divisible, then you’re presented with Zeno’s paradox all over again. ” And I would say, “ No, you refute that by a simple experiment. ”
So we don’t know how it is, but we can travel through all of these infinite points if, in fact, there are infinite points. Zeno’s paradox is about the domain of pure mathematics. But we don’t live in a world of pure mathematics; we live in a world of physics. And if physics says that we can transverse an infinite number of points in a finite amount of time, then that’s what we’ll do regardless of the mathematics.
Naval: Every mathematical theory is held inside a physical substrate of a brain or a computer. You’re always bound by the laws of physics, and these pure, abstract domains may have no mappings to reality.
We Can’t Prove Most Theorems with Known Physics
Unprovable theorems vastly outnumber the provable ones
Brett: The overwhelming majority of theorems in mathematics are theorems that we cannot possibly prove. This is Gödel’s theorem , and it also comes out of Turing’s proof of what is and is not computable.
The things that are not computable vastly outnumber the things that are computable, and what is computable depends entirely upon what computers we can make in this physical universe. The computers that we can make must obey our laws of physics.
If the laws of physics were different, then we’d be able to prove different sorts of mathematics. This is another part of the mathematician’s misconception: They think they can get outside of the laws of physics. However, their brain is just a physical computer. Their brain must obey the laws of physics.
If they existed in a universe with different laws of physics, then they could prove different theorems. But we exist in the universe that we’re in, so we’re bound by a whole bunch of things, not least of which is the finite speed of light. There could be certain things out there in abstract space that we would be able to come to a fuller understanding of if we could get outside of the restrictions of the laws of physics.
Happily, none of those theorems that we cannot prove at the moment are inherently interesting. Some things can be inherently boring—namely, all of these theorems which we cannot possibly prove as true or false.
Those theorems can’t have any bearing in our physical universe. They have nothing to do with our physical universe, and this is why we say they’re inherently uninteresting. And there’s a lot of inherently uninteresting things.
Probability Is Subjective
All physically possible things occur
Naval: Does probability actually exist in the physical universe, or is it a function of our ignorance? If I’m rolling a die, I don’t know which way it’s going to land; so therefore I put in a probability. But does that mean there’s an actual probabilistic unknowable thing in the universe? Is the universe rolling a die somewhere, or is it always deterministic?
Brett: All probability is actually subjective. Uncertainty and randomness are subjective. You don’t know what the outcome’s going to be, so you roll a die. That’s because you individually do not know; it’s not because there is uncertainty there deeply in the universe. What we know about quantum theory is that all physically possible things occur.
This leads to the concept of the multiverse . Rather than refute all of the failed ways of trying to understand quantum theory, we’re going to take seriously what the equations of quantum theory say. What we’re compelled to think about quantum theory, given the experiments, is that every single possible thing that can happen does happen. This means that there is no inherent uncertainty in the universe because everything that can happen actually will happen. It’s not like some things will happen and some things won’t happen. Everything happens.
You occupy a single universe, and in that universe, when you roll the die, it comes up a two. Somewhere else in physical reality, it comes up a one, somewhere else a three, a four, a five, and a six.
Naval: If I’m rolling two dice, then the universes in which they sum up to two is less than the number of universes in which we roll a seven, because that can be a three and a four, a five and a two, and so on. So the number of universes still does correspond to what we calculate as the probability.
Brett: Yes. This leads to what Deutsch calls their decision-theoretic way of understanding probability within quantum theory. Decision-theoretic means you assume there’s proportionality between the universes’ way of splitting things up. So if you’re rolling two different dice, then the universes proportion themselves into measures. A measure is a way of talking about infinities.
Is Light a Particle or a Wave?
God does not play dice with the universe
Naval: There’s a YouTube video in which Deutsch explains the famous quantum double-slit experiment , which is about particle-wave duality. Is light a particle or a wave? You pass it through a slit and, depending on whether there’s an observer and interference or not, it ends up in a wave pattern or as individual photons.
This is a famous experiment that has baffled people for a long time and caused them to revise their world view. It led Einstein to say, “ God does not play dice with the universe. ”
Brett: Einstein was a realist at the time when the founders of quantum theory were trying to develop a good explanation of what precisely was going on with these experiments in quantum theory. Einstein rejected all of them on the basis that they weren’t realistic, and he was right to do so because none of them made any sense.
To this day, none of the other alternatives make any sense.
Now, Einstein didn’t know about the multiverse. We had to wait until Hugh Everett in the 1950s was able to devise a simple, realistic way of understanding quantum theory. But if I go back to this idea of the double-slit experiment, it is often claimed that particles have a duality to them: Sometimes they’re particles, and sometimes they’re waves.
For example, the electron, given certain experiments, will behave like a particle. And in other experiments, it behaves like a wave. People who hear this think, “ Well, okay, that kind of explains what’s going on. ”
In the photoelectric effect, you shine a light at electrons, which literally means you’re firing a photon—a particle of light—at an electron, and you can knock the electron out of the atom. This is supposed to be proof positive that light, in the form of photons, and electricity, in the form of electrons, are both particles, because they’re bouncing off one another.
That’s what particles do; waves don’t do that. Watch water waves at the beach, and you’ll see they pass through each other. They don’t bounce off one another. Waves will bounce off particles, but they won’t bounce off each other.
Prior to Young’s twin slit experiment, we relied on Newton’s ideas of light. Newton’s idea was that light was corpuscular, as he said, which means made of particles.
Then Young came along and shined a line through two slits, cut into a piece of paper, and what you find when you project that light onto another sheet of paper is not just two beams of light. You find what’s called an interference pattern, where the light has interfered with itself.
It’s similar to when waves pass through small apertures, or natural geological gaps. The waves will interfere with one other. They produce crests in some places and troughs in others. They can cancel each other out. This was supposed to be proof to some of the early physicists that light, in fact, was a wave.
Now we get to quantum theory and find that things we thought were certainly particles—like electrons—interfere with each other when we do the same experiment with them. It appears as though we’ve got particles acting like waves and waves acting like particles.
The resolution to this is not to admit nonsense. What often is explained in quantum theory lectures at the undergraduate level is that you have to accept that something like a photon is born as a particle, lives as a wave, and then dies again as a particle—which is nonsense.
The reason it’s nonsense is because the photon doesn’t know that it’s alive or dead. It doesn’t know what experiment it’s participating in.
The Multiverse
Experiments force us to acknowledge other universes
Brett: We have to come to a deeper understanding of what is going on in this double-slit experiment . If we fire either a photon or an electron at that double-slit apparatus and put a detector at either of those slits, then we will detect a particle.
We can detect that we’ve fired a particle; we can detect that a particle is going through those slits; and we can detect a particle at the projection screen as well.
When you do this experiment in the laboratory using electrons, you can see the dots where the electrons strike, hitting the screen. But you don’t get a simple pattern that you would expect.
If you’re firing cannonballs at a wall through the same two holes, you would expect all the cannonballs to land in one of two positions behind the wall.
But with particles at the quantum level, that’s not what happens.
The only explanation is that when we fire a photon, there’s the photon that we can see in our universe and also there are photons we can’t see in other universes that pass through the apparatus. These photons are able to interact with the photon that we can detect.
This is where the concept of interference comes in. Interference is an old concept in physics. It goes back to waves. Waves certainly interfere, but we need to understand the way in which particles can interfere with one another. This includes particles that we can observe and particles that we can only assume to observe given these experiments.
This is why we are forced to acknowledge the existence of these other particles—and not only these other particles but other universes in which these particles exist.
We Explain the Seen in Terms of the Unseen
No one has ever seen the core of the sun
Brett: At this point people might object, “How dare you invoke in science things that can’t be seen or observed? This is completely antagonistic towards the scientific method, surely.”
And I would say that almost everything of interest that you know about science is about the unobserved.
Let’s consider dinosaurs. Dinosaurs are unobserved. You say, “Ah, hold on, I’ve been to the museum, I’ve seen a dinosaur.” No, you have seen a fossil, and a fossil isn’t even a bone. It’s an ossified bone that has been metamorphosed into rock. So no one has ever seen a dinosaur.
We have seen things that look like dinosaurs and interpreted them to be huge reptilian bird-like creatures. When we assemble their skeletons, we make up a story about what this thing was that walked the earth tens or hundreds of millions of years ago.
In the same way, no one has ever seen the core of the sun and no one will ever observe the core of the sun. But we know about stellar fusion . We know that hydrogen nuclei are being crashed together there to form helium and in the process producing heat.
We don’t see the big bang. We don’t see the movement of continents. Almost everything of interest in science we do not observe.
Naval: Even many of the things that we say we have seen, we’ve actually just seen instruments detect those things. We’re watching the effects through instruments and then theorizing that there are other universes out there where the photons are interacting with the photons that we can see.
Science Expands Our Vision of Reality
The multiverse is another step in this direction
Brett: Many scientists and philosophers have talked about the concept of a multiverse . But we’re talking about a very strict, very sober understanding of what a multiverse is.
All of these universes in this multiverse obey the same laws of physics. We’re not talking about universes where there are other laws of physics.
We used to think that everything in our universe—other planets, stars, the sun, the moon—orbited around us. We existed on this tiny planet.
Then our vision of reality got expanded a little bit. We realized that, in fact, we were not the center of the universe—the sun was the center. We also realized the sun and some of the other planets—Jupiter, Saturn and the other gas giants—were bigger than our planet. So our universe became larger.
Then we realized that we were just one star system among many in a huge galaxy of hundreds of billions of stars. Later we realized that this galaxy is one of hundreds of billions of galaxies.
The history of ideas and science is a history of us broadening our vision of exactly how large physical reality is.
The multiverse is another step in that general trend, and we should expect it to continue. It shouldn’t be that hard for people to accept that this is the way to understand things.
Do we know everything about quantum theory and how this multiverse works? No. We haven’t united the multiverse with general relativity. We still need a space-time or a geometry of the multiverse.
Science Is an Error-Correcting Mechanism
It does not presume to predict the future from the past
Naval: Where do good explanations come from?
There’s currently an obsession with induction , the idea that you can predict the future from the past. You can say, “I saw one, then two, then three, then four, then five, so therefore next must be six, seven, eight, nine.”
There’s a belief that this is how new knowledge is created, that this is how scientific theories are formed and this is how we can make good explanations about the universe.
What’s wrong with induction, and where does new knowledge actually come from?
Brett: You mentioned the black swan earlier, and I’d like to go back to that. The black swan is an example people have used over the years to illustrate this idea that repeatedly observing the same phenomena over and over again should not make you confident that it will continue in the future.
In Europe we have white swans, so any biologist who’s interested in birds would observe white swan after white swan and apparently conclude that, therefore, all swans are white. Then someone travels to Western Australia and notices swans there look otherwise identical to the ones in Europe—but they’re black.
Let’s consider another example of induction.
Ever since the beginning of your life, you have observed that the sun has risen. Does this mean that scientifically you should conclude that the sun will rise tomorrow and rise every day after that? This is not what science is about.
Science is not about cataloging a history of events that have occurred in the past and presuming they’re going to occur again in the future.
Science is an explanatory framework. It’s an error-correcting mechanism. It’s not ever of the form, “The sun always rose in the past, therefore it will rise in the future.”
There are all sorts of ways in which we can imagine the sun won’t rise tomorrow. All you need to do is to take a trip to Antarctica, where the sun doesn’t rise at all for some months of the year.
If you go to the International Space Station, you won’t see the sun rise and set once per day. It will rise and set repeatedly over the course of your very fast journey around the Earth.
Theories Are Explanations, Not Predictions
The prediction comes after the explanation
Brett: There’s another example like this. You can do this with a saucepan at home. Put a beaker of water on a heat source, then put a thermometer into that water and turn on your heat source. As time passes, record the temperature of the water.
You’ll notice the temperature of water increase. So long as the heat source is relatively constant, the temperature rise will be relatively constant as well. After one minute, the temperature might go from 20 ° C to 30 ° C. Imagine every minute it climbs by another 10 ° C.
Naval: But at some point, it’s going to stall when it hits the boiling point.
Brett: Precisely. Now, if you’re an inductivist—or even a Bayesian reasoner—and you don’t know anything about the boiling temperature and what phenomena happen at that temperature, you can join all of those lovely lines into a perfectly diagonal straight line and extrapolate off into infinity.
According to your Bayesian reasoning and your induction, after two hours we should assume that the temperature of that water will be 1,000 ° C. But, of course, this is completely false. Once the water starts boiling, it stays at its boiling temperature. We get a plateau at about 100 ° C that remains there until all the water boils away.
There’s no possible way of knowing this without first doing the experiment or having already guessed via some explanatory means what was going to happen. No method of recording all of these data points and extrapolating off into the future could ever have given you the correct answer. The correct answer can only come from creativity.
Notice that science is not about predicting where the trend starts and where the trend goes.
To explain what’s going on with the water, we’d refer to the particles and how, as the temperature increases, the kinetic energy of the particles starts to increase. This means the velocity of the particles is increasing. Eventually, particles in the liquid state achieve escape velocity from the rest of the liquid. At this point, we have boiling.
That escape velocity—the technical term is latent heat —requires energy. For this reason, we can have heating of water without a temperature increase.
That’s what science is, that whole complicated story about how the particles are moving faster. It’s not about trends and predictions; it’s about explanations.
Only once we have the explanation can we make the prediction.
Make Bold Guesses and Weed Out the Failures
The best theories come from your imagination, not extrapolation
Naval: Going even further, it’s not just science.
When we look at innovation, technology and building—for example, everything that Thomas Edison and Nikola Tesla did—this came from trial and error, which is creative guesses and trying things out. If you look at how evolution works through variation and then natural selection, it tries a lot of random mutations and filters out the ones that didn’t work.
This seems to be a general model through which all complex systems improve themselves over time: They make bold guesses and then they weed out the things that didn’t work.
There’s a beautiful symmetry to it across all knowledge creation. It’s ultimately an act of creativity. We don’t know where it comes from. It’s not just a mechanical extrapolation of observations.
I’ll close with the most famous example of this. We talked about black swans and boiling water, but the fun and easy one is the turkey.
You have a turkey that’s being fed very well every single day and fattened up. The turkey thinks that it lives in a benevolent household—until Thanksgiving arrives. Then, it’s in for a very rude awakening. That shows you the limits of induction.
Brett: Precisely. Now, the theories have to be guessed.
All of our great scientists have always made noises similar to this. It’s only the philosophers and certain mathematicians who think that science is this inductive trend-seeking way of extrapolating from past observations into the future.
Einstein said that he wasn’t necessarily brighter than most other people; it’s that he was passionately interested in particular problems. And he had a curiosity and an imagination. Imagination was key for him. He needed to imagine what could possibly explain these things.
Einstein wasn’t looking at past phenomena in order to come up with general relativity. He was seeking to explain certain problems that existed in physics. Induction wasn’t a part of it.
Naval: Good explanations rely on creativity. They are testable and falsifiable, of course, and they’re also hard to vary and to make risky and narrow predictions. That’s a good guiding point for anybody who is trying to figure out how they can incorporate these concepts in their everyday life.
Your best theories are going to be creative guesses, not simple extrapolations.
Science Advances One Funeral at a Time
Even the best get stuck
Naval: There’s some deep symmetry between multiverse theory and Feynman path integrals , right?
Brett: You’re absolutely right. Feynman believed in multiple histories, but it’s an open question whether he thought these were actually physically real things or merely mathematical objects. He was relatively silent on the matter.
Feynman was a realist and an absolute genius—probably the second greatest physicist of the 20th century after Einstein—but he made one of the worst quips. He said, “If you think you understand quantum theory, you don’t understand quantum theory.” Which is nonsense. David Deutsch understands quantum theory. That was one of the few occasions when Feynman fell into irrationality.
Naval: I think it was Planck who said, “ Science advances one funeral at a time. ” Unfortunately, even the best get stuck behind.
I see this in my own field. Some of the greatest investors of our time—people like Warren Buffett and
Charlie Munger
—are absolute geniuses but cannot wrap their minds around cryptocurrencies.
The idea that there’s extra-sovereign money that’s native to the Internet and programmable is foreign to them because their money is always something that has been provided by the government and controlled by the government. They just cannot imagine it any other way.
It’s just the nature of people.
It’s Rare to Have Competing, Viable, Scientific Theories
General relativity vs. Newtonian mechanics is a recent example
Naval: There’s also Solomonoff’s theory of induction . I don’t know if you’ve looked at that at all?
Brett: I’ve heard of it, but I haven’t investigated it.
Naval: I’m going to mangle the description. It says that if you want to find a new theory that explains why something is happening—in this case something that’s encoded as a binary string —then the correct one is a probability-weighted theory that takes into account all possible theories and weighs them based on their complexity. The simpler theories are more likely to be true, and the more complex ones are less likely to be true. You sum them all together, and that’s how you figure out the correct probability distribution function for your explanation.
Brett: That’s similar to Bayesianism , isn’t it? In both cases they’re assuming you can enumerate all the possible theories. But it’s very rare in science to have more than one viable theory. There was the Newtonian theory of gravity and the theory of general relativity. That’s one of the rare occasions where you had two competing theories. It’s almost unknown to have three competing theories to try and weigh.
Naval: What confuses people is that induction and Bayesianism work well for finite, constrained spaces that are already known. They’re not good for new explanations.
Bayesianism says, “I got new information and used it to weigh the previous probability predictions that I had. Now I’ve changed my probability based on the new data, so I believe that something different is going to happen.”
For example, there’s the classic Monty Hall problem from the “Let’s Make a Deal” TV show. Monty Hall calls you up, and there’s three doors. One has a treasure behind it, and there’s nothing behind the other two.
You pick a door—one, two or three. Then he opens one of the other two doors and shows you there’s nothing behind it.
Hall asks, “Now, do you want to change your vote?”
Naive probability says you shouldn’t change your vote. Why should it matter that one of the ones he showed you doesn’t have something? The probability should not have changed.
But Bayesianism says you’ve got new information, so you should revise your guess and switch to the other door.
An easier way to understand this is to imagine there were 100 doors and you pick one at random. Then he opens 98 of the remaining 99 and shows you there’s nothing behind them.
Now do you switch?
Of course you do. You had one in 100 odds of picking the right door the first time, and now your odds are 99 in 100.
So it becomes much more obvious when you change the thought exercise to being one of the two.
People discover this and say, “Of course, now I’m a smart Bayesian. I can update my priors based on new information. That’s what smart people do. Therefore, I’m a Bayesian.” But it in no way helps you discover new knowledge or new explanations.
Brett: That’s the uncontroversial use of Bayesianism, which is a very powerful tool.
It’s used in medicine to try and figure out which medicines might be more effective than others. There are whole areas of mathematics like Bayesianism that can be applied in science without controversy at all.
It becomes controversial when we say that Bayesianism is the way to generate new explanations or the way to judge one explanation against another.
In fact, the way we generate new explanations is through creativity. And the way we judge one explanation against another is either through experimental refutation or a straightforward criticism, when we realize that one explanation is bad.
We’re All Equal in Our Infinite Ignorance
The door is always open for new ideas
Brett: Induction says that prediction is the main reason science exists, but it’s really explanation.
You want an explanation of what’s going on, even if you can’t necessarily predict with any certainty what’s going to happen next.
In fact, knowing what’s going to happen next with some degree of certainty can be deflating. The unknown can be far more fun than absolute certitude about what tomorrow will bring.
Naval: This brings us to the related point that science is never settled. We should always be free to have new creativity and new conjecture.
You never know where the best ideas are going to come from. You have to take every idea that’s made in good faith seriously.
This idea that “the science is settled” or “the science is closed” is nonsense. It implies that we can all agree on the process with which we come up with new theories.
But new theories come through creativity and conjecture. The door is always open for new people with new ideas to come in and do that.
Brett: As Popper said, “ In our infinite ignorance we are all equal. ”
Even if someone claims expertise—and they might have a valid claim—there’s an infinite number of things they don’t know that could affect the things they do know.
The student who’s not expert in anything can still come up with an idea that can challenge the foundations of the greatest expert.
Like the child, the expert is ignorant about a whole bunch of things and could have errors. Someone who lacks that fine-tuned knowledge can still point out those errors and present a better idea.
It’s Easy to Extrapolate How Things Will Get Worse
It’s harder to guess how life might improve
Naval: A lot of the theories as to why we’re imminently going to create an AGI are based in a naïve extrapolation of computational power.
It’s almost an induction of more and more computational power. They say, “AI has already gotten good at vision and beating humans at chess and at video games; therefore, it’s going to start thinking soon.”
Another offshoot is this idea that humans are eating up all the Earth’s resources, so having more humans on Earth is a bad idea.
But if you believe that knowledge comes through creativity, then any child born tomorrow could be the next Einstein or Feynman. They could discover something that will change the world forever with creativity that has nonlinear outputs and effects.
Brett: At the moment we’re very concerned about the pollution and the loss of certain species, and these are legitimate concerns for some people. But it should never be at the expense of the long-term vision that we can solve all of those problems—and far more—if we could progress at a faster rate by using the resources that we have available to us.
Naval: Why does the world always seem to be full of more pessimists than optimists, especially when we still live with mostly Enlightenment Era values and such tremendous innovation?
There are probably multiple reasons for that. It’s easier to be a pessimist than an optimist. It’s hard to guess how life is going to improve; it’s easier to extrapolate how it’s going to get worse.
You could also argue that the risk of ruin is so large—you can’t come back from it—that we’re hardwired to be pessimists.
If you’re correct as an optimist, then you have a small gain. But if you’re wrong when you’re optimistic and you get eaten by a tiger, then it goes to zero.
Pessimism Seems Like an Intellectually Serious Position
We’ve innovated our way out of previous traps
Brett: If you’re an academic, being able to explain all of the problems that are out there and how dangerous these problems are and why you need funding to look at them in more depth appears to be the intellectually serious position; whereas, someone who claims that we can solve it sounds a little bit kumbaya.
In fact, collaboration, cooperation and resource exploitation are the things that will drive this knowledge economy forward so that we can solve these problems.
It always seems more intellectually serious if you can stand out there with a frown on your face in front of a TED Talk audience and say, “These are all the ways in which we’re going to die, in which the Earth is going to fail, and in which we’re going to come to ruin.”
Naval: I’m guilty of having recorded one of these doomsayer podcasts about enders blowing up the Earth. That was the one podcast I regretted the most. We had a great conversation, but I don’t fundamentally agree with conclusions that we should slow down because the world is going to end.
The only way out is through progress.
I haven’t promoted that podcast as much as others. When I read Deutsch, I realized why: Pessimism is an easy trap to fall into, but it implies that humans are not creative. Pessimism doesn’t acknowledge all the ways that we have innovated our way out of previous traps.
Entrepreneurs are inherently optimistic because they get rewarded for being optimistic. As you were saying, intellectuals get rewarded for being pessimistic. So there is incentive bias.
If you’re a pessimist, you get your feedback from other people. It’s a social act. You’re convincing other people of your pessimism. But entrepreneurs get feedback from nature and free markets, which I believe are much more realistic feedback mechanisms.
So far, most of the pessimistic predictions have turned out to be false. If you look at the timelines on which the world was supposed to end or environmental catastrophes were supposed to happen, they’ve been quite wrong.
Rational Optimism Is the Way Out
Pessimism is self-fulfilling
Naval: Professions in which you get your feedback from other members of that profession tend to get corrupted.
When you see a journalist writing articles to impress other journalists or a restaurant owner trying to impress other foodies and restaurant owners, it’s usually not practical or high-quality.
The journalist or restaurant owner may receive accolades within certain elite circles, but that doesn’t reflect reality.
A scientist or an experimentalist gets feedback from Mother Nature, and an entrepreneur gets feedback from a free market in which people vote with their money and time. Those are much better predictors.
People who get paid to operate in the real world tend to be optimistic. People who operate in ivory towers are incentivized to be pessimists.
Brett: To be an entrepreneur, you need to be optimistic about the fact that you’re creating something that other people are going to find value in.
People who have a pessimistic philosophy tend to have a pessimistic psychology as well.
If you’re constantly thinking about all the ways in which the world is going to wreck and ruin, then this has a day-to-day impact on your outlook on everything—the rest of society, your family, and your friends—because you think this world is condemned.
You’re going to feel that weight on your shoulders, and that’s going to come through in how you present yourself to the rest of the world.
We see a lot of this on social media. Entrepreneurs are typically too busy to spend a whole lot of time on social media, but you get scientists, academics and journalists who are depressed with life because they have a pessimistic view of reality. That impacts their subjective experience of the world.
On the other hand, people who are creating are trying to bring something new into existence.
Naval: Unfortunately, pessimism is self-fulfilling.
Here we take the stance that all evils are due to lack of knowledge. Rational optimism is the way out. The data supports it, and history supports it.
Through creativity, we can always come up with good explanations to improve our lives and everybody else’s lives.
So stay optimistic.
《无限的起点》,第一部分
《无限的起点》全部剧集合集。
科学是推动人类前行的引擎
“相信科学”是一个自相矛盾的说法
Naval: 欢迎,Brett,来到同名的 Naval 播客。我们最初讨论的话题是创造财富的永恒原则。后来我们也谈了一些关于内在幸福、平静和身心健康的内容。
我首先是一个科学的学生。我是一个失败的物理学家——意思是,我热爱物理,想从事物理研究,但我从没觉得自己能在其中出类拔萃。我更多地被技术所吸引,而技术就是应用科学。
尽管如此,我依然是一个科学的学生。我始终对科学充满热忱。我所有真正的英雄都是科学家,因为我相信科学是推动人类前行的引擎。
我们很幸运生活在一个科学技术进步似乎不是可能、而是必然的时代。我们已经习惯了生活总会越变越好这个观念。
尽管人们抱怨生产率增长停滞不前,但事实是,任何拥有智能手机、开车甚至住在房子里的人,都一次又一次地见证了技术改善了自己的生活质量。我们把这种进步视为理所当然,而这都要归功于科学。
对我来说,科学也是对真理的研究。我们知道什么是真的?我们如何知道某件事是真的?随着年龄增长,我发现自己对任何不深深扎根于真理的事物都无法保持注意力。
这个播客系列的背景是:我以为自己对科学了解很多。科学中有很多东西我视为理所当然,比如什么是科学理论,科学理论是如何形成的。
我们大多数人对这些只有一个模糊的概念。有些人认为科学就是科学家做的事——这在定义上就有问题:什么是科学家?另一些人认为科学就是做出可证伪的或可检验的预测,也许这更接近一些。有时候人们会说”就是科学方法”。那什么是科学方法?然后他们就开始描述自己的初中化学实验,之后就说不出个所以然了。
尤其是现在,当人们被告知要”相信科学”——这本身就是一个自相矛盾的说法——人们尊重科学,却不理解科学是什么。
关于科学是什么的概念被劫持了,有时是善意的人想让你信服科学,有时则是不那么善意的人想要影响你思考、感受和行动的方式。
《无限的起点》
David Deutsch 的书拓展了我的推理工具库
Naval: 几年前我重新翻开了一本十年前读过的旧书——David Deutsch 的《无限的起点》(The Beginning of Infinity),这让我感到惊喜。
有时候你读一本书,它立刻就会对你产生影响。有时候你读了一本书,并不理解它;然后在合适的时机再读,它就会产生影响。
这一次我比过去更加细致地阅读了这本书。我不是为了读完而读,而是为了理解其中的概念而读,在每个遇到新知识的地方都停下来。它开始重塑我的世界观,改变了我的思维方式。
我认为这本书是过去十年中唯一一本让我变得更聪明的书——也许 Nassim Taleb 的几部作品和其他一两本零散的书除外。它们确实拓展了我思考的方式,不仅拓展了我的知识储备,更拓展了我的推理工具库。
人们经常把”心智模型(mental models)“挂在嘴边。大多数心智模型不值得阅读、思考或倾听,因为它们不过是些显而易见的东西。但《无限的起点》中提出的概念是变革性的,因为它们非常有说服力地改变了你看待真与假的方式。
Karl Popper 阐述了什么是科学的、什么不是,什么是好的解释、什么不是的理论。
Deutsch 在《无限的起点》中对这些进行了大幅度的扩展。他所涉及的范围之广令人惊叹。他涵盖了认识论(epistemology)——即关于知识的理论——量子力学、多重宇宙理论、无穷、数学、可知与不可知的边界、普遍性解释、计算理论、什么是美、哪种政治体制更有效、如何教育子女,等等。
这些都是包罗万象的、具有长远意义的哲学思想。
Nullius in Verba
不要轻信任何人的话
Naval: 《无限的起点》不是一本容易读的书。Deutsch 是为其他物理学家和哲学家而写的。他有一个彼此尊重的同侪圈子,他必须达到他们的水平。
我想理解书中的原理,以便能够自己去确认或反驳。我喜欢英国皇家学会那句古老的箴言——“Nullius in Verba”,意思是”不要轻信任何人的话”。换言之,自己去弄清楚。这是通向任何知识的唯一途径。
为此,我一边读这本书,一边开始阅读相关的博客文章。最终我发现了 Brett Hall,开始听他的播客 ToKCast,也就是”Theory of Knowledge-Cast”的缩写。我邀请他来这个播客讨论《无限的起点》中的思想。
Brett,听你的播客帮助我厘清了很多这些原理。我很希望能深入探讨这些思想的深度、清晰度、影响范围和重要性。然后希望听众中有人能因此变得更聪明。
Brett Hall:Naval 你好,很高兴来到这里。你提到了《无限的起点》中许多有趣的方面,这本书已经成为我真正的热情所在。和很多进入科学领域的人一样,我上学的时候想:“嗯,我想成为一名天文学家,所以我要上大学拿一个物理学位,再拿一个天文学学位,然后成为一名职业天文学家。”
有一天我在书店里拿起 David Deutsch 的《实在的结构》(The Fabric of Reality)开始读。第一章描述了我一生想要追求的东西。它把我大学学习和我对生活的整体态度用文字表达了出来。
Deutsch 说,古代哲学家认为他们可以理解整个世界。然而随着时间推移,现代科学让人觉得这是一个不可能完成的项目。你不可能理解关于实在的一切。需要知道的东西太多了。
你怎么可能知道一切呢?
能触达整个宇宙的解释
我们能理解任何可以被理解的事物
Brett: 在《实在的结构》的开头,David Deutsch 提出了这样一个观点:你不需要知道每一个事实,就能从根本上理解一切可以被理解的事物。
他描绘了这样一个愿景:科学内外有四个基础理论——量子理论、计算理论、自然选择进化论和认识论——即关于知识的理论。它们共同构成了一个世界观,或者说一个透镜,通过它你可以理解任何可以被理解的事物。
Naval:我在 YouTube 上看过他的一段精彩视频,表达了同样的观点。他说:“你不需要记忆和知道每一个事实。你不需要知道每一个粒子移动到了哪里。如果你理解了万物背后深层的基础理论,那么你就从高层次上了解了一切是如何运作的。“而这一切都可以被一个人、一个大脑、一个人类所理解。任何人都能够触及。
这是一个令人惊叹的强大理念。我们可以拥有覆盖整个宇宙的解释。有趣的是,相对论并不在这四个理论之列。
Brett: Deutsch 认为量子理论比相对论更深层。这并不是说我们要否定相对论,而是他的判断是,量子理论将比相对论更具基础性。将会存在一个多重宇宙的时空,而多重宇宙就是 David 对量子理论的解释。这就是相对论没有出现在其中的原因。
大多数物理学家预期,量子理论和相对论最终会走向统一。
反复阅读最好的 100 本书
许多人声称读过,但真正理解的寥寥无几
Naval: 《无限的起点》最让我联想到的是《哥德尔、埃舍尔、巴赫》,因为它涉猎广泛,将许多不同学科的思想缝合在一起。它非常难以理解和完全跟上。每个人都声称读过它,但据我所知,很少有人真正理解了它。
我在大学时第一次发现 Hofstadter 的作品就有过这样的经历。我记得我把它放上书架,开始读,开始读,开始读。大概一年后,我可能才读到一半。然后就抽不出时间了,我还有其他事情要做。
我记得我会去找大学里的朋友,跟他们说:“这是一本好书,你应该读读。“一周后他们回来会说:“嗯,我读过《哥德尔、埃舍尔、巴赫》了,很棒。“而我觉得自己是大学里最蠢的人。
直到多年以后我才意识到,根本没有人真正读完过它。当你年纪渐长,你会更有勇气在那种坦白时刻说出:“我没读过”或者”我以恒定的速度读,遇到不懂的地方就继续往下读”。
我坦白,直到今天我都没有把《哥德尔、埃舍尔、巴赫》全部读完。但至少到了现在,我通读了全书,找到了最令我感兴趣的部分——也就是哥德尔相关的部分——并且确实读了那些内容,尝试理解它们。我跳过了不太感兴趣的部分——也就是巴赫相关的部分。
《无限的起点》也是如此。我的社交圈里每个人都把它放在书架上。许多人声称读过,但很少有人真正读懂了。
我反复提到一个观点,它在 Twitter 上最初由一位名叫 @illacertus 的人精辟地表达过,他大致写道:“我不想读完所有的书;我只想把最好的 100 本书反复阅读。”
我现在陷入了一个循环:至少在科学方面,我只打算一遍又一遍地读《无限的起点》和《实在的结构》,直到完全理解它们。如果我 20 年前就读了这两本书,我会知道得多得多,因为那样我就会选择正确的书和正确的作者来继续阅读。
这是一本很难跟上的书。你应该同时买精装版和电子版,这样就能随时翻阅。
Brett: 还有有声版。
Naval: 能弄到的方式都弄一份。如果你能在第一次通读时就深刻理解所有的要点,那么恭喜你。如果不能,我们希望能为你拆解它。
我们正处在无穷知识的起点
只要拥有好的解释,进步就是必然的
Brett: 《无限的起点》的不同之处在于,你获得的是一个世界观。你得到的不是物理学家关于如何理解量子理论的标准观点。你得到的不是哲学家关于如何理解知识的标准观点。当然也不是数学家关于如何理解数学的标准观点。
Deutsch 在所有这些领域都是专家。
Naval: 这个世界观的核心是什么?
Brett: Deutsch 的世界观是:实在是可以被理解的。问题是可以被解决的,或者用他的写法,是”可解的”(soluble)。这是一种深层的理性乐观主义世界观,相信好的科学解释和进步。
只要我们拥有这些好的解释,进步就是必然的。好的解释具有巨大的覆盖范围。它们是创造力的体现。
人类是问题解决者,能够解决所有问题。一切罪恶和恶行都源于知识的匮乏。人们可以对持续的进步保持乐观。这正是书名所指向的:我们正处于一个无穷进步系列的起点。
这是一个非常乐观的立场。它宣称,我们在宇宙中是自在的,宇宙是我们学习和利用的资源;物质财富是我们能够促成的一组物理转化;一切不被物理定律所禁止的事物,最终都可以通过知识和知识创造来实现。
他还写道,人类是通用的解释者,任何可以被认识和理解为可知和可解的事物,都可以被人类在人类系统的计算能力范围内认识和理解为可知和可解。
一切对人类而言都是可知的。我们正处于无穷知识的起点。
我们通过好的解释来理解事物,并不断用更好的理论取代旧理论。看不到终点。没有完美。每一个理论最终都可以被证伪和改进。
我们正在走向能够实现一切不被物理定律所禁止之事的道路上。
人是自然之力
我们创造知识,改造宇宙
Brett: 知识是改变世界的力量。我们可以取一些没有特定用途的原材料,在这些原材料中找到铀原子核,进而用它们在核反应堆中制造炸弹或能量。我们可以从某些东西中发现——这些东西在地球几乎整个地质存在时期里一直静静地待在那里,惰性十足,如果没有人类,它们什么也不会做。人是宇宙中创造解释的实体。他们能够解释原材料可以转化为怎样的东西。
那么,他们将这些原材料转化成了什么?文明。创造知识的人最终名副其实地成为了一种自然之力。
如果我们试图解释诸如星系的形状或恒星的形状,任何天体物理学家都会基于物理定律给你一个说法:引力如何将物质拉成球体,热力学定律如何使某些气体升温膨胀。所有已知的物理定律足以解释我们在宇宙中观察到的一切。
但仅仅物理定律无法解释曼哈顿的出现。你必须引入比基本物理定律更多的东西。你需要引入人的存在,以及他们从科学、哲学和政治层面解释世界的能力。正是所有这些东西共同作用,才能解释为什么我们在曼哈顿会有摩天大楼这样的结构。
这是一个深刻的思想。这个思想似乎被科学家们忽视了,其中许多人对如何解释我们在环境中看到的事物持还原论的观点。他们试图解释的只是环境中的自然现象。
当然,每个人都想了解自然定律是如何运作的。但如果我们想要理解宇宙将如何随时间演化——无论是在我们自己星球上的局部范围,还是最终扩展到整个星系——我们就必须谈论人类创造的知识以及他们未来将做出的选择。
这是关于人在宇宙中位置的一种不同的愿景。
知识的增长是不可能预测的
物理定律无法预测未来
Brett: Stephen Hawking 说过一句著名的话:“人类不过是一颗中等大小行星上的化学渣滓,这颗行星围绕着一颗极其普通的恒星运行,而那颗恒星处在一千亿个星系中某个星系的外围郊区。我们微不足道到了这种程度,我无法相信整个宇宙是为了我们的利益而存在的。“这种关于人是什么、地球是什么的愿景,在某种平庸的意义上是对的,但它忽略了一个要点——人是一种枢纽。据我们所知,我们是宇宙中唯一正在创造知识的场所,一条开放性的知识之流,有能力改变其余的一切现实。
正如引力能够将一个星系拉成特定的形状,未来的知识也将能够塑造行星的进程、太阳系,并最终塑造银河系。我们将对我们周围能看到的一切产生深远的影响。物理定律、化学定律、乃至生物学定律,都无法预测未来会发生什么。
知识未来的增长是不可能预测的。这是知识的本性所在,因为知识的创造是一种真正的创造行为——它将某种此前不存在的东西带入了存在。
Naval: 如果你能预测它,你早就发明它了。我们许多根深蒂固的悲观世界观,来源于对负面趋势的直线外推,同时忽视了正面趋势。正面趋势主要来自创造力和知识的创造,而这本质上是不可预测的。
每一代人都有自己的末日论者、Cassandra 们和现代的 Malthusian 们,他们说:“按这个趋势下去,我们都得死。“他们之所以很受欢迎,原因和僵尸片、吸血鬼片受欢迎的原因一样。但现实是,他们无法预测我们在未来会做出什么来改善生活质量、将我们从不可避免的毁灭中拯救出来。
人类独特之处在于理解事物的能力
知识在于观察者,而非被观察者
Naval: 价值在于知识,而知识存在于观察者和创造者之中——换言之,存在于人身上。它不存在于事物本身。例如,石油毫无用处,除非你知道如何炼油、燃烧它、将它用于燃烧做功。信息也毫无用处,除非那里有一个大脑来接收它。
可能有一个信号正在向太空广播英语,但如果没有一个能够理解那种语言是什么、它如何运作、以及谁在传递它的生物,那不过是经过调制的电磁频率,没有任何意义。因此,大量的信息——大量的价值——存在于特定的知识承载实体之中。
随着科学触及的范围不断扩大,我们走向了一种非常还原论的科学,把事物拆解成越来越小的碎片,然后试图在此基础上进行解释。科学中存在一股反潮流,即复杂性理论(complexity theory),我们在其中讨论涌现属性(emergent properties)和更高层次的系统。他们关注那些在微观层面上以混沌且不可预测的方式运作的系统;但在宏观层面上,我们可以对它们做出某些具有解释力的陈述。
人类独特之处在于我们理解事物的能力。
好的解释是创造行为
它们不是从回顾过去中推导出来的
Naval: 有一个短语你会听到 Brett 和我一遍又一遍地使用:“好的解释”(good explanations)。好的解释是 Deutsch 对科学方法的改进。
同时,它又超越了科学。它不仅适用于科学,也适用于生活的方方面面。我们在生活中摸索前行,而成功前行靠的就是创造好的解释。如果你从这次对话中什么都没记住,至少试着理解什么是好的解释。
好的解释,首先也是最重要的,是可检验的或可证伪的。你可以在现实世界中做一个实验来验证它是否成立。即使退一步说,它也是一种创造性的解释。它观察现实世界中正在发生的事情,然后说:“这就是它正在发生的原因。“这是一个创造性的跳跃——“这就是该事物运作方式背后的解释。”
比如,当我和我的小孩一起看日落时,我问他们:“太阳是不是要去某个地方?它在移动吗?还是说,也许是我们自己在移动,而且我们的移动方式让太阳看起来像是在落山?“哪一个是正确的解释?
天真地看,你会觉得太阳在划过天际、围绕地球运转。但这不是唯一的解释。还有一种完全创造性的解释,它似乎违背了对太阳运动的显而易见的观察,但同样能够吻合事实——只不过它需要一些创造力。那个解释就是:地球在自转。
好的解释不必是显而易见的。它们不是仅仅通过回顾过去发生的事推导出来的。相反,它们是可检验的。我们可以做实验来弄清楚,到底是太阳绕着地球转,还是地球在自转。
好的解释难以更改
它们应该做出大胆而精确的预测
Naval: Brett,你会说科学理论是好的解释的子集吗?
Brett: 是的。它们是好的解释中可检验的那一类。可证伪的理论其实遍地都是。它并不能告诉你所得到的解释的质量高低。
《实在的结构》中用了一个例子——用草治疗感冒。如果有人说”如果你吃一公斤草,它就能治好你的感冒”,那他就有一个可检验的理论。问题在于,没有人应该去检验它。为什么?因为他们没有解释草能够治好感冒的机制。而如果你真的吃了一公斤草,感冒没有好,他们可以转过身来说:“1.1 公斤也许就行了。”
Naval: 对。或者你需要另一种草。
Brett: 它总是可检验的,但你没有取得任何进步。
Naval: 好的解释的第二个要素是,它难以更改(hard to vary)。它必须非常精确,而且必须有充分的理由来解释这种精确性。
《无限的起点》中用了一个著名的例子——关于我们为什么会有季节的解释。古希腊的解释是,季节由 Persephone(春之女神)驱使,取决于她何时能离开 Hades。有一整套涉及众神的理论。那不仅不容易检验,而且很容易更改。Persephone 可以换成 Nike,Hades 可以换成 Jupiter 或 Zeus。你很容易更改那个解释,而预测不会改变。
而如果你看轴倾角理论——它说地球相对于太阳倾斜了 23 度,因此我们预期太阳在冬天从这里升起,在夏天从那里升起——其中的事实是很难更改的。它做出的是大胆而精确的预测。轴倾角理论可以预测不同纬度上夏天和冬天的精确长度,你可以精确地检验它。
一个好的解释,除了是一个可检验、可证伪的创造性理论之外,它的各个部分应该难以被更改,否则就会从根本上破坏整个理论。而且你当然不希望事后再去更改它——就像在草的例子中那样,“哦,是一公斤?不,现在是 1.1,现在是 1.2。”
最后,它所做出的预测应该是精确而狭窄的,而且应该具有风险。例如,在相对论中,我相信是 Eddington 做了那个实验,证明了星光在日食周围会发生弯曲。那是 Einstein 在相对论中做出的一个预测,结果被证实是正确的。那是一个大胆的预测,花了很长时间才得到确认。
科学没有终点
我们可以持续取得进步
Brett: Eddington 的实验是一个极好的例子,说明了所谓的判决性实验(crucial test),这可以说是科学的核心所在。
如果我们做了一项实验,结果与我们已有的某个理论不一致,那就有问题了。但这并不意味着它证伪了该理论。如果你证伪了你唯一的那个理论,你还能跳到哪里去?你没有任何替代方案。
如果明天我们做了一项科学实验,其结果与广义相对论不一致,那又怎样?广义相对论没有替代理论。事实上,多年来确实有过一些实验看起来与广义相对论不一致。结果呢?它们全都被发现是实验本身有误。如果你必须在”广义相对论被你的实验证伪了”和”你的实验有缺陷”之间做出选择,那就押你的实验有缺陷。
在 Eddington 实验的案例中,我们有两种可行的引力理论。一方面是 Newton 的万有引力理论,另一方面是 Einstein 的广义相对论。
你所描述的那个关于日食期间光线弯曲多少的实验,是描述当时发生之事的正确方式。并不是说我们在某种终极意义上证明了广义相对论是正确的;而是我们证伪了 Newton 的引力理论。Newton 的理论被排除了,因为它与实验不一致,而广义相对论与实验一致。
这并不意味着广义相对论是科学的定论。它意味着这是目前我们所拥有的最好的理论,而且我们有充分理由认为,广义相对论最终在根本意义上必然是错误的。这是这一世界观的另一个方面——我们永远不会拥有定论——而这是一件好事。这是乐观的,因为它意味着我们可以持续改进,我们可以不断取得进步,我们可以不断发现新事物。科学没有终点。
人们一直担心有一天进步会停滞,科学会终结。事实上,我们正处于无限的起点,而且我们将永远处于无限的起点,恰恰是因为我们能够改进我们的思想。
我们是可错的人类。我们的理论没有一个是完美的,因为我们本身并不完美。我们创造知识的过程也不是完美的。它是容易出错的。
数学没有定论
证明不等于确定性
Naval: 还有两位科学思想家我也很欣赏,他们得出了与 Deutsch 类似的结论。
一位是 Nassim Taleb,他普及了黑天鹅的概念,即无论你看到多少只白天鹅,都无法否定黑天鹅的存在。你永远无法断言所有天鹅都是白色的。你永远无法确立一个终极真理。你所能做的,就是运用你当下拥有的最好的解释——这仍然远胜于无知。黑天鹅随时可能出现并推翻你的理论,然后你就不得不去寻找一个更好的解释。
另一位我觉得很精彩的是 Gregory Chaitin。他是一位非常接近 Kurt Gödel 风格的数学家,因为他探索的是数学中可能性的极限与边界。他提出的观点之一是,Gödel 不完备定理并没有说数学是垃圾;这条定理不是绝望的理由。Gödel 不完备定理说的是,没有任何形式系统——包括数学——能够同时是完备的和正确的。要么存在一些在系统内无法被证明为真的真命题,要么系统内部某处会出现矛盾。
对于那些将数学视为某种抽象、完美、完全自足之物的人来说,这可能是令人绝望的。但 Chaitin 的论点是,实际上它为数学中的创造力打开了空间。这意味着即使在数学中,你也总是离证伪某件事只有一步之遥,然后为它找到一个更好的解释。它将人及其创造力、以及寻求好的解释的努力重新放回了核心位置。
在某种深层意义上,数学仍然是一门艺术。当然,数学会产出非常有用的成果。你仍在建造一座知识的大厦,但不存在所谓的 conclusive、settled 的真理。没有定论的科学,也没有定论的数学。存在的只是好的解释,它们会随着时间被能够解释更多世界的更好的解释所取代。
Brett: 这更多是我们从学校教育中继承来的,超过其他任何来源。它是我们学术文化的一部分,也渗透到了更广泛的文化中。人们有这样一种观念,认为数学是一片纯粹的知识领域,在那里,被证明为真的东西就是确定无疑的。
然后你有科学,它不会给你确定的真理,但你可以对你所发现的东西抱有高度信心。你可以用实验来确认你所说的看起来是正确的,但你可能是错的。再然后,当然还有哲学,那不过是 opinion 而已。
这就是一些人从学校继承来的层级结构:数学是确定的,科学是近乎确定的,其余的或多或少都只是 opinion。这就是 Deutsch 所说的”数学家的误解”(mathematician’s misconception)。数学家有一种直觉式的信念,认为他们的证明——即通过这种证明方法所达到的定理——是绝对地、确定地为真的。
事实上,这是对 subject matter(研究对象本身)与他们对研究对象的知识之间的混淆。
数学的方法也是可错的
即使研究对象本身不是
Brett: 如果我把数学和物理学做个比较:我们有一个领域叫粒子物理学,在粒子物理学中我们所拥有的最深层的理论叫做标准模型(standard model)。它描述了所有存在的基本粒子以及它们之间的相互作用、它们之间存在的作用力,以及在电子、质子和中子等粒子之间传递作用力的规范玻色子(gauge bosons)。
那么,物质由什么构成?我们会说物质由标准模型所描述的这些粒子构成。但这能否排除这些基本粒子本身可能由更小的粒子组成的可能性?我们有一个可能更深层的理论叫做弦理论(string theory)。所以我们关于什么是最基本粒子的知识,与实际上什么是最基本粒子,是不同的。
数学也是如此。Deutsch 解释说,数学是一个试图揭示必然真理(necessary truth)的领域。数学的研究对象是必然真理,正如粒子物理学的研究对象是基本粒子。
但是,基本粒子物理学的研究对象是基本粒子,这并不意味着你真的找到了基本粒子。这只意味着你找到了你最大的粒子加速器所能分辨的最小粒子。
但如果你有一个更大的粒子加速器,你可能会在那些粒子中发现更小的粒子。
这正是粒子物理学的历史。我们曾经认为原子是基本的。然后当然,我们发现原子内部有原子核和电子。在原子核中,我们发现有质子和中子。在质子和中子内部,我们发现它们由夸克(quarks)组成。这就是我们目前所处的阶段。我们目前说夸克是基本的,电子也是基本的。
但这并不意味着我们现在就要终结粒子物理学。我们需要进一步的理论,来探讨那些极小的粒子内部可能还有什么。
数学中的易错性
将这与数学作比较:如果必然真理是数学的研究对象,那么数学家所从事的就是创造关于必然真理的知识。由于数学家拥有一个大脑——它是一个物理对象——而所有物理对象都会因热力学第二定律而发生退化性错误——或者仅仅是任何人类都会犯的常见思维失误和错误——数学家和其他任何人一样容易犯错。所以他们最终证明的东西可能是有误的。
Naval: 如果我没有理解错的话,即使数学也是可能出错的,因为数学是一种创造性的行为。我们永远无法彻底完成。你的某条公理中可能就藏着一个错误。
一切知识都是猜想
对绝对确定性保持怀疑
Brett: 一切知识都是猜想的。它始终是被猜测出来的。它是我们在任何时刻所能达到的最佳理解。
你说公理可能是不正确的,这没有错。但我们怎么知道一条公理是不正确的?传统上答案一直是:“因为这是显而易见的。“你怎么证明 x 加零一定等于 x?你只能接受它是真的。
但想想欧几里得的《几何原本》。任何人都可以亲自尝试这个实验:拿一张纸,拿一支笔,在纸上画两个点。那么,你能画出多少条唯一的直线穿过这两个点?你应该很容易看出,只能画一条线。然而,我们知道这是错的。
反思一下:当你盯着那张纸,上面只画了一条直线穿过两个点时,你内心有一种确定的感觉。你绝对确信自己没有错。这种确定感是我们应该始终保持怀疑的。当人们感到绝对确定时,即使在数学这样一个看似充满确定性的领域中,事实证明他们也可能是错的。
那我们怎么证明这是错的呢?你可能觉得我在耍赖,但是,你也需要反思一下,当我最初让你画一条唯一直线穿过两个点时,你是否真的理解了我的意思。把那张纸弯折起来。在三维空间中思考。如果你手边有篮球,把纸包在篮球上。现在再想想,你可以用多少种方式画一条直线穿过那两个点。
你可以用笔尖戳穿其中一个点,从另一侧穿出,经过另一个孔——现在你就有了另一条不同的直线。一条是你用笔画在纸上的直线,另一条是你的笔实际穿过那两个点形成的直线。
你最初那种只能画一条唯一直线穿过这两个点的绝对确定感是错误的。你可能在想:“这不公平,你在耍赖。“你是在二维中思考的。而我不是。我在比那更多的维度中思考。
Karl Popper 有一句精彩的话:“不可能以某种方式说话而使人无法误解你。“事情总是如此。
即使在数学中,我们竭尽所能追求精确,人们仍然可能犯错,对自己正在构建的论证持有错误的前提。
欧几里得几何这个具体例子——因为几何传统上是在二维的纸面上进行的——被多人解决,并最终引出了弯曲空间中的几何,而这又促使 Einstein 提出了广义相对论。
所以,正是对我们最深层假设的质疑——那些我们认为绝不可能出错的地方——才带来了真正的进步,带来了科学和其他一切领域中真正的、根本性的变革。
宇宙是离散的还是连续的?
量子理论与相对论的分歧
Naval: 你说我们从 Democritus 时代的原子一路向下,到了原子核,再到质子和中子,然后到夸克。借用 Feynman 的话来说,一路向下都是粒子。我们可以永远继续下去。但也不完全是永远,对吧?在某些时候你会碰到普朗克长度(Planck length)。
Brett: 有普朗克时间,有普朗克长度,甚至还有普朗克质量——它实际上是一个相当大的质量。这些东西并没有什么物理意义。并不是说普朗克时间是最短可能的时间,也不是说普朗克长度是最短可能的长度。原因在于,这些普朗克量是量子理论的一部分。但长度并不是由量子理论描述的。它是由广义相对论描述的。而在那个理论中,空间是无限可分的。不存在最短可能的长度或时间。
这揭示了一个古老的张力——离散与连续之间的张力。量子理论似乎暗示事物是离散的。例如,存在最小可能的金粒子——金原子;最小可能的电的粒子——电子;最小可能的光的粒子——光子。在量子理论中,我们有离散性的概念,即存在一种最小可能的东西,其他一切都由它构建而成。
但在广义相对论中,观念恰恰相反。它说事物可以连续变化,数学上要求事物是连续可变的,这样才能进行微分等等。其思想是你可以不断地分割空间,也可以不断地分割时间。
物理学家明白,在我们物理学最基础的解释的最深层,存在着这样一个矛盾。这也是为什么人们一直在尝试将量子理论和广义相对论统一起来。现实的根本本质是什么?是事物可以无限可分,还是我们必须在某个地方停下来?如果是无限可分的,那么量子理论可能需要服从于广义相对论。我们就是不知道。
每个理论都承载于物理基底之中
你始终受物理定律的约束
Naval: 我本来以为我找到了芝诺悖论(Zeno’s paradox)的解法——它说你到达某处之前,必须先到达一半的地方;到达一半之前,必须先到四分之一处,因此你永远到不了。
一种破解方式是说,即使是一个无穷序列也可以有有限的和。你求这个无穷级数(infinite series)的和,我们很早就学到它是收敛的。我的另一个想法是,你必须跨越一个最小距离——普朗克长度,因此你终究会到达。那是一个有限的步数。但你说我们就是不知道。
Brett: 如果物理定律说我们可以在一定时间内跨越一米,那我们就会做到。而我们对物理定律的当前理解恰恰就是这么说的。所以芝诺悖论的解决很简单:我们可以在这段时间内跨越这段空间。至于空间是否无限可分,它是沉默的。
当有人问”空间是否无限可分?“我会说”是的。“他们可能会反问”你怎么知道?“我会说”广义相对论。“我怎么知道那是真的?嗯,我并不知道它是不是真的。不过,它是我们目前拥有的关于时空的最好的解释。然后他们可能会展开讨论:“好吧,如果它是无限可分的,那芝诺悖论又出现了。“我会说:“不,你可以通过一个简单的实验来反驳它。”
所以我们不知道它究竟是怎样的,但如果确实存在无穷多个点,我们可以穿越所有这些点。芝诺悖论属于纯数学的领域。但我们并不生活在一个纯数学的世界中;我们生活在一个物理的世界中。如果物理学说我们可以在有限的时间内穿越无穷多个点,那我们就会做到,无论数学怎么说。
Naval: 每一个数学理论都承载于大脑或计算机这样的物理基底之中。你始终受物理定律的约束,而那些纯粹的、抽象的领域可能与现实没有任何映射关系。
用已知的物理无法证明大多数定理
不可证的定理在数量上远远超过可证的定理
Brett: 数学中绝大多数的定理都是我们无法证明的。这就是 Gödel 定理,同时也是 Turing 关于什么是可计算、什么是不可计算的证明所给出的结论。
不可计算的事物在数量上远远超过可计算的事物,而什么是可计算的,完全取决于我们在这个物理宇宙中能制造出什么样的计算机。我们能制造的计算机必须遵守我们的物理定律。
如果物理定律不同,我们就能证明不同类型的数学。这是数学家的误解的又一个方面:他们以为自己可以超越物理定律。然而,他们的大脑只不过是一台物理计算机。他们的大脑必须遵守物理定律。
如果他们存在于一个物理定律不同的宇宙中,他们就能证明不同的定理。但我们存在于我们所在的这个宇宙中,所以我们受制于各种各样的限制,其中不可忽视的就是有限的光速。抽象空间中可能存在某些东西,如果我们能超越物理定律的限制,就能对它们获得更充分的理解。
幸运的是,那些我们目前无法证明的定理中,没有一个是天生就有趣的。有些东西天生就是无聊的——即所有那些我们根本无法判定真假或伪的定理。
那些定理不可能对我们的物理宇宙产生任何影响。它们与我们的物理宇宙毫无关系,这就是为什么我们说它们天生无趣。天生无趣的东西还有很多。
概率是主观的
所有物理上可能的事情都会发生
Naval: 概率是否真的存在于物理宇宙中,还是它只是我们无知的一种表现?如果我掷一颗骰子,我不知道它会哪一面朝上;因此我引入了概率。但这是否意味着宇宙中真的存在某种概率性的、不可知的东西?宇宙是否在某个地方掷骰子,还是说一切归根结底都是决定论的?
Brett: 所有的概率实际上都是主观的。不确定性和随机性都是主观的。你不知道结果会怎样,所以你掷骰子。那是因为你个人不知道;而不是因为宇宙深处存在不确定性。我们对量子理论的认识是,所有物理上可能的事情都会发生。
这就引出了多重宇宙的概念。我们不去逐一反驳那些试图理解量子理论的失败方案,而是要认真对待量子理论方程所告诉我们的东西。给定实验结果,量子理论迫使我们认为:每一件可能发生的事情都会发生。这意味着宇宙中不存在固有的不确定性,因为所有能发生的事情确实都会发生。并不是有些事情会发生、有些事情不会发生——一切都会发生。
你身处一个单一的宇宙中,在那个宇宙里,当你掷骰子时,它掷出了二。在物理实在的某个别的地方,它掷出了一;在另一个地方是三、四、五、六。
Naval: 如果我掷两颗骰子,那么点数之和为二的宇宙数量,少于掷出七的宇宙数量,因为七可以由三和四、五和二等等组合而成。所以宇宙的数量仍然与我们计算出的概率相对应。
Brett: 是的。这就引出了 Deutsch 所说的在量子理论中理解概率的决策论方法。决策论的意思是,你假设宇宙在分裂时存在比例关系。所以如果你掷两颗不同的骰子,宇宙会按比例分配成不同的度量。度量是一种谈论无穷的方式。
光是粒子还是波?
上帝不掷骰子
Naval: YouTube 上有一段视频,Deutsch 在其中讲解了著名的量子双缝实验,讲的是粒子-波的二象性。光究竟是粒子还是波?你让它通过一条狭缝,根据是否存在观测者和干涉,它会形成波的模式或以单个光子的形式呈现。
这是一个著名的实验,长期困扰着人们,促使他们重新审视自己的世界观。它让 Einstein 说出了那句话:“上帝不掷骰子。”
Brett: Einstein 是一个实在论者,当时量子理论的创始人正试图为这些量子实验究竟发生了什么找到一个好的解释。Einstein 基于它们不符合实在论而拒绝了所有那些解释,他这样做是对的,因为那些解释没有一个说得通。
直到今天,其他所有替代方案也都不知所云。
不过,Einstein 当时并不知道多重宇宙。我们不得不等到 1950 年代,Hugh Everett 才设计出一种简洁的、符合实在论的方式来理解量子理论。但如果我回到双缝实验这个话题——人们经常声称粒子具有二象性:有时它们是粒子,有时它们是波。
例如,电子在某些实验中表现得像粒子,在另一些实验中又表现得像波。听到这些的人会想:“好吧,这多少解释了到底怎么回事。”
在光电效应中,你用光照射电子,这实际上意味着你朝一个电子发射一个光子——一粒光——然后你可以把电子从原子中撞出来。这被认为是确凿的证据,证明光(以光子的形式)和电(以电子的形式)都是粒子,因为它们彼此弹开了。
粒子就是这样的;波不会这样做。去海滩观察水波,你会发现它们彼此穿过,不会弹开。波会从粒子上弹开,但波与波之间不会弹开。
在 Young 的双缝实验之前,我们依赖的是 Newton 的光的学说。Newton 认为光是微粒——用他的话说——也就是说由粒子构成。
后来 Young 出现了,让一束光穿过纸上的两条狭缝,当你把光投射到另一张纸上时,你看到的不是两束光,而是所谓的干涉图样——光与自身发生了干涉。
这类似于波浪穿过小孔或天然地质缝隙时的情形。波浪彼此干涉,在某些地方形成波峰,在另一些地方形成波谷。它们可以相互抵消。这被认为是早期一些物理学家的证据,证明光实际上是波。
现在我们进入量子理论,发现我们曾确信是粒子的东西——比如电子——当我们用它们做同样的实验时,它们也彼此干涉。看起来就好像粒子表现得像波,而波又表现得像粒子。
解决这个问题的办法不是接受无稽之谈。在本科阶段的量子理论课上,常见的说法是:你必须接受,像光子这样的东西,作为一个粒子诞生,作为波存活,然后又作为一个粒子死去——这是无稽之谈。
之所以说它是无稽之谈,是因为光子并不知道自己是活着还是死了。它也不知道自己正在参与什么实验。
多重宇宙
实验迫使我们承认其他宇宙的存在
Brett: 我们必须更深入地理解双缝实验中到底发生了什么。如果我们向双缝装置发射一个光子或电子,并在其中一条狭缝处放置探测器,我们就能检测到一个粒子。
我们可以探测到发射了一个粒子;可以探测到粒子穿过了狭缝;也可以在投影屏上探测到粒子。
当你在实验室中用电子做这个实验时,你可以看到电子击中屏幕时留下的亮点。但你得到的并不是你所预期的简单图样。
如果你朝一堵墙上的两个洞发射炮弹,你会期望所有炮弹都落在墙后两个位置之一。
但在量子层面的粒子世界中,情况并非如此。
唯一的解释是:当我们发射一个光子时,有一个我们在自己的宇宙中能看到的光子,同时还有其他宇宙中我们看不到的光子也穿过了这个装置。这些光子能够与我们可以探测到的那一个光子发生相互作用。
这就是干涉概念的由来。干涉是物理学中一个古老的概念,起源于波动理论。波当然会干涉,但我们需要理解粒子之间如何干涉——包括我们能观测到的粒子和鉴于这些实验我们只能假定存在的粒子。
这就是为什么我们不得不承认这些其他粒子的存在——不仅是这些其他粒子,还包括这些粒子所存在的其他宇宙。
用不可见解释可见
没有人见过太阳核心
Brett: 此时人们可能会反对:“你怎么敢在科学中引入看不见、观测不到的东西?这完全违背了科学方法吧。”
而我会说,你所知道的关于科学的几乎所有有趣的事,都是关于未被观测之物的。
以恐龙为例。恐龙就是未被观测过的。你会说:“等等,我去过博物馆,我见过恐龙。“不,你见过的是化石,而化石甚至不是骨头——它是矿化的骨骼,已经变成了岩石。所以从来没有人见过恐龙。
我们看到的是看起来像恐龙的东西,然后将其解释为数千万乃至数亿年前行走在地球上的巨大爬行类鸟形生物。当我们组装它们的骨架时,我们编造了一个关于这种生物的故事。
同理,没有人见过太阳核心,也没有人将能观测到太阳核心。但我们了解恒星核聚变。我们知道氢原子核在那里被撞到一起形成氦,并在这一过程中产生热量。
我们看不到大爆炸。我们看不到大陆的漂移。科学中几乎所有有趣的事物,我们都无法直接观测。
Naval: 甚至许多我们声称”见过”的东西,实际上只是看到仪器检测到了那些东西。我们通过仪器观测其效应,然后推断出存在其他宇宙,那里的光子正在与我们所见的光子发生相互作用。
科学拓展我们对实在的认知
多重宇宙是这一方向的又一步
Brett: 许多科学家和哲学家都讨论过多重宇宙的概念。但我们谈论的是一种非常严格、非常审慎的多重宇宙理解。
这个多重宇宙中的所有宇宙都遵循相同的物理定律。我们不是在谈论拥有不同物理定律的宇宙。
我们曾经认为宇宙中的一切——其他行星、恒星、太阳、月亮——都围绕我们运转。我们存在于这颗小小的行星上。
后来我们对实在的认知稍稍扩大了一些。我们意识到,事实上我们并不是宇宙的中心——太阳才是中心。我们还意识到太阳和其他一些行星——木星、土星和其他气态巨行星——比我们的行星更大。于是我们的宇宙变大了。
然后我们意识到,自己不过是包含数千亿颗恒星的巨大星系中众多恒星系统之一。后来我们又意识到,这个星系不过是数千亿个星系中的一个。
思想史和科学史,就是我们不断拓宽对物理实在究竟有多宏大的认知的历史。
多重宇宙是这一总体趋势的又一步,我们应该预期这一趋势会继续下去。人们不应该觉得接受这种理解方式有多困难。
我们对量子理论和这个多重宇宙的运作方式已经无所不知了吗?并非如此。我们还没有将多重宇宙与广义相对论统一起来。我们仍然需要一个属于多重宇宙的时空或几何结构。
科学是一种纠错机制
它并不妄图从过去预测未来
Naval: 好的解释从何而来?
如今人们对归纳法有一种执念,认为可以从过去预测未来。你可以说:“我看到了一、二、三、四、五,所以接下来一定是六、七、八、九。”
人们相信新知识就是这样产生的,科学理论就是这样形成的,我们就是这样对宇宙做出好的解释的。
归纳法有什么问题?新知识究竟从何而来?
Brett: 你之前提到过黑天鹅,我想再回到这个话题。黑天鹅是人们多年来用来阐明这一观点的例子:反复观察同一种现象,不应让你确信它在未来仍将继续。
在欧洲我们有白天鹅,所以任何对鸟类感兴趣的生物学家观察到一只又一只白天鹅后,可能会得出结论:因此所有天鹅都是白色的。然后有人去了西澳大利亚,发现那里的天鹅看起来与欧洲的完全一样——但它们是黑色的。
再来看一个归纳法的例子。
从你有生以来,你一直观察到太阳升起。这是否意味着从科学上你应该断定太阳明天会升起,此后每一天都会升起?这不是科学要做的事。
科学不是将过去发生的事件编目成册,然后假定它们未来还会发生。
科学是一个解释框架,一种纠错机制。科学从来不是这样的形式:“太阳过去总是升起,因此它将来也会升起。”
我们可以想象出各种各样的太阳明天不升起的情况。你只需去一趟南极洲,那里一年中有几个月太阳根本不会升起。
如果你去国际空间站,你不会看到太阳每天升落一次。在你围绕地球高速运行的过程中,太阳会反复地升起和落下。
理论是解释,而非预测
预测先要有解释
Brett: 还有一个类似的例子。你在家用锅就能做。把一个装水的烧杯放在热源上,将温度计插入水中,然后打开热源。随着时间推移,记录水温。
你会注意到水温在上升。只要热源相对恒定,温度的上升也会相对恒定。一分钟后,温度可能从 20°C 升到 30°C。假设每分钟再升高 10°C。
Naval: 但到了某个时刻,当温度到达沸点时,它就会停滞了。
Brett: 没错。现在,如果你是一个归纳主义者——甚至是一个贝叶斯推理者——而且你对沸点温度和该温度下会发生什么现象一无所知,你可以把所有那些漂亮的数据点连成一条完美的对角直线,然后一路外推到无穷。
归纳法的局限与科学解释的本质
根据你的贝叶斯推理和你的归纳法,两小时后我们应该假设水的温度会达到 1000°C。但当然,这完全错误。水一旦开始沸腾,温度就会停留在沸点。我们在大约 100°C 处会看到一个平台期,一直维持到所有水都蒸发殆尽。
不先做实验,或不事先通过某种解释性手段猜出会发生什么,就不可能知道这一点。没有任何方法能通过记录所有数据点然后外推到未来而给出正确答案。正确答案只能来自创造力。
请注意,科学并不是关于预测趋势从哪里开始、往哪里去。
要解释水发生了什么,我们需要谈到粒子——随着温度升高,粒子的动能如何开始增加。这意味着粒子的速度在增加。最终,液态中的粒子达到了脱离其余液体的逃逸速度。此时,我们就有了沸腾。
这个逃逸速度——专业术语叫潜热——需要能量。正因如此,水可以被加热而温度不上升。
科学就是这样的——那个关于粒子如何运动得更快的完整而复杂的故事。它不是关于趋势和预测的;它是关于解释的。
只有当我们拥有了解释,才能做出预测。
大胆猜想,淘汰失败者
最好的理论来自你的想象力,而非外推。
Naval: 再进一步说,不仅仅是科学如此。
当我们审视创新、技术和建造时——比如 Thomas Edison 和 Nikola Tesla 所做的一切——这些都来自试错,也就是创造性的猜想和不断尝试。如果你看看进化是如何通过变异然后自然选择来运作的,它尝试了大量随机突变,然后筛选掉那些不成功的。
这似乎是所有复杂系统随时间自我改进的普遍模式:它们做出大胆猜想,然后淘汰掉那些不奏效的。
在所有知识创造中,有一种美妙的对称性。它归根结底是一种创造性的行为。我们不知道它从何而来。它不是对观察的机械外推。
我用一个最著名的例子来收尾。我们谈过黑天鹅和沸水,但有趣又简单的是火鸡的例子。
你有一只火鸡,每天都被喂得很好,被养得肥肥胖胖的。火鸡以为自己生活在一个善良的人家——直到感恩节到来。然后,它迎来了一次非常残酷的醒悟。这就是归纳法的局限性所在。
Brett: 没错。理论必须是被猜想出来的。
我们所有伟大的科学家都曾发出过类似的声音。只有哲学家和某些数学家才认为科学是这种归纳式的趋势追踪方法——从过去的观察外推到未来。
Einstein 说过,他不一定比大多数其他人更聪明;他只是对特定的问题怀有强烈的兴趣。他拥有好奇心和想象力。想象力对他来说至关重要。他需要想象什么东西可能解释这些现象。
Einstein 并不是通过观察过去的现象来提出广义相对论的。他是在试图解释物理学中存在的某些问题。归纳法与此无关。
Naval: 好的解释依赖创造力。当然,它们是可检验和可证伪的,同时也是难以更改的,能做出冒险而狭窄的预测。对于任何试图弄清楚如何将这些概念融入日常生活的人来说,这是一个很好的指引。
你最好的理论将是创造性的猜想,而非简单的 extrapolations(外推)。
科学是一次葬礼一步地前进的
即使是最优秀的人也会陷入困境
Naval: 多重宇宙理论和 Feynman 路径积分之间存在某种深刻的对称性,对吧?
Brett: 你说得完全正确。Feynman 相信多重历史,但他是否认为这些是物理上真实存在的东西还是仅仅是数学对象,这是一个开放的问题。他在这个问题上相对沉默。
Feynman 是一个实在论者,也是一个绝对的天才——大概是 20 世纪仅次于 Einstein 的最伟大物理学家——但他说过最糟糕的一句俏皮话。他说:“如果你认为自己理解了量子理论,那你就没有理解量子理论。“这是无稽之谈。David Deutsch 理解量子理论。那是 Feynman 难得陷入非理性的几次之一。
Naval: 我记得是 Planck 说过:“科学是一次葬礼一步地前进的。“不幸的是,即使是最优秀的人也会被卡住。
我在自己的领域就看到了这一点。我们这个时代一些最伟大的投资者——像 Warren Buffett 和 Charlie Munger——都是绝对的天才,但无法理解加密货币。
存在一种超主权的、原生于互联网的、可编程的货币——这个想法对他们来说是陌生的,因为在他们的世界里,货币始终是政府提供并由政府控制的东西。他们就是无法想象另一种可能。
这就是人的本性。
存在相互竞争的可行科学理论是罕见的
广义相对论与牛顿力学是一个近期的例子
Naval: 还有 Solomonoff 的归纳理论。你有没有了解过这个?
Brett: 我听说过,但没有深入研究过。
Naval: 我可能会把描述说得不太好。它的意思是,如果你想找到一个新理论来解释某件事为什么会发生——在这里,某件事被编码为一个二进制串——那么正确的理论是一个概率加权理论,它考虑了所有可能的理论,并根据它们的复杂程度进行加权。更简单的理论更有可能是真的,更复杂的理论则不太可能是真的。你把它们全部加总在一起,这就是你得出解释的正确概率分布函数的方法。
Brett: 这和贝叶斯主义很类似,不是吗?在这两种情况下,它们都假设你可以枚举所有可能的理论。但在科学中,拥有一个以上的可行理论是非常罕见的。曾经有牛顿的引力理论和广义相对论。那是少有的存在两个竞争理论的情况。存在三个竞争理论来权衡——这几乎是闻所未闻的。
Naval: 让人困惑的是,归纳法和贝叶斯主义在有限的、已知的约束空间中运作得很好。它们不擅长的是提供新的解释。
贝叶斯主义说的是:“我获得了新信息,用它来权衡之前的概率预测。现在我已经根据新数据改变了概率,所以我相信会有不同的事情发生。”
比如说,有个经典的 Monty Hall 问题,出自电视节目”Let’s Make a Deal”。Monty Hall 叫你上来,面前有三扇门。其中一扇后面有宝藏,另外两扇后面什么都没有。
你选一扇门——一、二或三。然后他打开另外两扇门中的一扇,让你看到后面什么都没有。
Hall 问:“现在,你想换你的选择吗?”
朴素概率论说你不需要换。他给你看了其中一扇门后面没有东西,这有什么关系?概率应该没有变。
但贝叶斯主义说你获得了新信息,所以你应该修正你的猜测,换到另一扇门。
一个更容易理解的方式是想象有 100 扇门,你随机选一扇。然后他打开其余 99 扇中的 98 扇,让你看到后面什么都没有。
现在你换不换?
当然换。你第一次选中正确的门的概率是百分之一,而现在你选中的概率是百分之九十九。
所以当你把思想实验换成两扇门的时候,就显而易见多了。
人们发现了这一点之后会说:“当然,现在我是个聪明的贝叶斯主义者了。我可以根据新信息更新先验概率。聪明人就是这么做的。所以,我是贝叶斯主义者。“但这对于发现新知识或新解释毫无帮助。
Brett:那是贝叶斯主义毫无争议的用法,是一种非常有用的工具。
它被用于医学领域,试图弄清楚哪些药物可能比其他药物更有效。像贝叶斯主义这样一整套数学体系,可以毫无争议地应用于科学。
但当有人说贝叶斯主义是生成新解释的方式,或者用它来评判一个解释优于另一个解释时,它就变得有争议了。
事实上,我们生成新解释的方式是通过创造力。而我们评判一个解释优于另一个解释的方式,要么是通过实验反驳,要么是直接批评——当我们意识到某个解释是糟糕的时候。
无限无知之中人人平等
新思想的大门永远敞开
Brett:归纳法说预测是科学存在的主要原因,但其实应该是解释。
你想要的是对正在发生之事的解释,哪怕你未必能确定地预测接下来会发生什么。
事实上,以某种确定度知道接下来会发生什么,反而可能令人沮丧。未知远比对明天会带来什么的绝对确定要有趣得多。
Naval:这就引出了一个相关的话题——科学永远没有定论。我们应该始终自由地拥有新的创造力和新的猜想。
你永远不知道最好的想法会从哪里来。你必须认真对待每一个善意提出的想法。
那种”科学已经定论”或”科学已经封闭”的说法是无稽之谈。它暗示我们可以在产生新理论的过程上达成共识。
但新理论来自创造力和猜想。新思想的大门永远为带着新想法走进来的人敞开。
Brett:正如 Popper 所说:“在无限的 ignorance 面前,我们人人平等。”
即使有人声称自己是专家——而且他们的声明可能是合理的——仍然有无限多他们不知道的事情可能影响他们所知道的事情。
一个在任何领域都不是专家的学生,仍然可以提出一个挑战最伟大的专家根基的想法。
就像孩子一样,专家对很多东西是无知的,可能会犯错误。一个缺乏那些精细知识的人,仍然可以指出这些错误并提出更好的想法。
悲观外推比乐观猜想容易
Naval:很多关于我们即将创造 AGI 的理论,建立在对计算能力的朴素外推之上。
这几乎是对越来越强计算能力的一种归纳。他们说:“AI 已经在视觉识别、下棋、玩电子游戏方面超越了人类;所以它很快就会开始思考了。”
另一个分支是这样一种观念:人类正在消耗地球上的所有资源,所以地球上人口越多越糟糕。
但如果你相信知识来自创造力,那么明天出生的任何一个孩子都可能成为下一个 Einstein 或 Feynman。他们可能发现某种具有非线性输出和效应的东西,永远改变世界。
Brett:目前我们非常关注污染和某些物种的消失,对一些人来说这些是合理的担忧。但这绝不应该以牺牲长远愿景为代价——如果我们能够以更快的速度利用现有资源取得进步,我们就能解决所有这些问题——乃至更多。
Naval:为什么世界上悲观主义者似乎总是比乐观主义者多,尤其是在我们仍然大多生活在启蒙时代的价值观之下、拥有如此巨大的创新的情况下?
这大概有多个原因。做一个悲观主义者比做一个乐观主义者更容易。猜测生活将如何改善是困难的;外推它将如何变糟则容易得多。
你也可以说毁灭的风险如此之大——一旦发生便无法挽回——所以我们天生就是悲观主义者。
如果你作为乐观主义者判断正确,你得到的只是一个小的收益。但如果你乐观地判断失误,被老虎吃掉了,那就归零了。
悲观看起来更像严肃的知识分子姿态
我们已经通过创新走出了之前的困境
Brett:如果你是一个学者,能够解释所有那些存在的问题,说明这些问题有多危险,以及为什么你需要经费来深入研究它们,这似乎是一种严肃的知识分子姿态;而声称我们能解决它的人则听起来有点天真。
事实上,合作、协作和资源开发才是推动这个知识经济向前发展的力量,使我们能够解决这些问题。
如果你能皱着眉头站在 TED 演讲台的观众面前说:“这些都是我们将要死去的所有方式,地球将要失败的方式,我们将走向毁灭的方式。“这似乎总是更显得有知识分量。
Naval:我得承认,我也录过一期那样的末日论播客,谈论终结者炸毁地球。那是我最后悔的一期播客。我们的对话很精彩,但我从根本上是反对那种我们应该放慢脚步因为世界将要终结的结论的。
唯一的出路是通过进步。
我没有像推广其他播客那样推广那一期。当我读了 Deutsch 之后,我明白了原因:悲观主义是一个容易掉进去的陷阱,但它暗示人类没有创造力。悲观主义不承认我们通过创新走出之前困境的所有方式。
企业家天生是乐观主义者,因为乐观会得到回报。正如你所说,知识分子因悲观而得到回报。所以这里存在激励偏差。
如果你是悲观主义者,你从其他人那里获得反馈。这是一种社会行为。你在说服其他人接受你的悲观主义。但企业家从自然和自由市场获得反馈,我认为这是现实得多的反馈机制。
到目前为止,大多数悲观预测都被证明是错误的。如果你看看世界应该终结的时间表,或者环境灾难应该发生的时间线,它们都错得离谱。
理性的乐观主义才是出路
悲观是自我实现的
Naval:从同行那里获得反馈的职业往往容易腐败。
当你看到一个记者写文章是为了给其他记者看,或者一个餐厅老板试图取悦其他美食家和餐厅老板时,结果通常不太实用或高质量。
记者或餐厅老板可能会在某些精英圈子里获得赞誉,但这并不反映现实。
科学家或实验者从大自然母亲那里获得反馈,企业家从自由市场中获得反馈——人们用金钱和时间投票。这些是好得多的预测器。
在现实世界中谋生的人往往是乐观主义者。身处象牙塔中的人则被激励成为悲观主义者。
Brett:要成为企业家,你需要乐观地相信你正在创造的东西会被他人认为有价值。
持有悲观哲学的人往往也有悲观的心理。
如果你不断思考世界将以各种方式崩溃和毁灭,这会对你的日常心态产生全面影响——对社会的其他部分、你的家人和朋友——因为你认为这个世界已经没救了。
你会感受到那份沉甸甸的压力,而这也会体现在你向世界呈现自己的方式中。
我们在社交媒体上看到了大量这种现象。创业者通常太忙,不会花大量时间在社交媒体上,但科学家、学者和记者中有许多人因为对现实持悲观态度而对生活感到抑郁。这影响了他们对世界的主观体验。
另一方面,那些正在创造的人,正在努力将新的事物带入存在。
Naval: 不幸的是,悲观主义是自我实现的。
我们在此采取的立场是:一切恶都源于知识的匮乏。理性的乐观主义是出路。数据支持这一点,历史也支持这一点。
通过创造力,我们总能提出好的解释,来改善我们自己以及其他所有人的 lives(生活)。
所以,保持乐观吧。
术语表
| 原文 | 中文 |
|---|---|
| @illacertus | @illacertus(Twitter 用户) |
| AGI | AGI(通用人工智能) |
| Bayesian | 贝叶斯(推理方法) |
| Bayesianism | 贝叶斯主义 |
| binary string | 二进制串 |
| black swan | 黑天鹅 |
| Brett Hall | Brett Hall(播客 ToKCast 主理人) |
| Cassandras | Cassandra 们(悲观预言者,源自希腊神话) |
| Charlie Munger | Charlie Munger(投资家) |
| complexity theory | 复杂性理论 |
| crucial test | 判决性实验 |
| David Deutsch | David Deutsch(物理学家、量子计算先驱) |
| decision-theoretic | 决策论的 |
| Democritus | Democritus(古希腊哲学家) |
| doomsayer | 末日论者 |
| double-slit experiment | 双缝实验 |
| Eddington | Eddington(天文学家) |
| Einstein | Einstein(物理学家) |
| emergent properties | 涌现属性 |
| epistemology | 认识论 |
| Euclid’s Elements | 《几何原本》(欧几里得) |
| Feynman | Feynman(物理学家) |
| Feynman path integrals | Feynman 路径积分 |
| gauge bosons | 规范玻色子 |
| general theory of relativity | 广义相对论 |
| good explanations | 好的解释 |
| Gregory Chaitin | Gregory Chaitin(数学家、算法信息论学者) |
| Gödel’s incompleteness theorem | Gödel 不完备定理 |
| Hades | Hades(希腊神话中的冥界之神/冥界) |
| hard to vary | 难以更改 |
| Hugh Everett | Hugh Everett(物理学家,多重宇宙诠释提出者) |
| induction | 归纳法 |
| inductivist | 归纳主义者 |
| interference | 干涉 |
| interference pattern | 干涉图样 |
| Karl Popper | Karl Popper(科学哲学家) |
| Kurt Gödel | Kurt Gödel(数学家、逻辑学家) |
| latent heat | 潜热 |
| Malthusians | Malthusian 们(新马尔萨斯主义者,认为资源增长跟不上人口增长) |
| mathematician’s misconception | 数学家的误解 |
| measure | 度量 |
| mental models | 心智模型 |
| Monty Hall problem | Monty Hall 问题 |
| multiple histories | 多重历史 |
| multiverse | 多重宇宙 |
| Nassim Taleb | Nassim Taleb(作家、风险分析学者) |
| necessary truth | 必然真理(已在术语表中) |
| Nikola Tesla | Nikola Tesla(发明家、电气工程师) |
| Nullius in Verba | Nullius in Verba(英国皇家学会箴言,意为”不要轻信任何人的话”) |
| Persephone | Persephone(希腊神话中的春之女神) |
| photoelectric effect | 光电效应 |
| photon | 光子 |
| Planck | Planck(物理学家) |
| Planck length | 普朗克长度 |
| Planck mass | 普朗克质量 |
| Planck time | 普朗克时间 |
| quarks | 夸克 |
| reductionist | 还原论 |
| Solomonoff’s theory of induction | Solomonoff 归纳理论 |
| standard model | 标准模型 |
| stellar fusion | 恒星核聚变 |
| Stephen Hawking | Stephen Hawking(物理学家) |
| string theory | 弦理论 |
| The Beginning of Infinity | 《无限的起点》 |
| The Fabric of Reality | 《实在的结构》 |
| Thomas Edison | Thomas Edison(发明家) |
| trial and error | 试错 |
| Turing’s proof | Turing 的证明(指 Turing 关于可计算性的证明) |
| Warren Buffett | Warren Buffett(投资家) |
| Young | Young(Thomas Young,物理学家) |
| Zeno’s paradox | 芝诺悖论 |
此文章由 AI 翻译(miaoyan_chunk_translate)