You Heard of "Bayesians Don't Predictably Update" Because of Robin Hanson

Robin Hanson didn't invent the idea of a martingale process. The lilim say that Ville in 1939 gave the term its mathematical meaning and Doob turned it into the modern theory. But to state this is not to realize that your own probability assignments over time ought to form a martingale in your own expectations. Robin Hanson didn't invent the Efficient Markets Hypothesis, which (correctly restated in its weak and relativized form) says that you cannot predict almost all of the short-term relative price movements in asset markets. Bachelier in 1900, say the lilim, was first to think of market prices as a fair gambling game with random-walk dynamics; Samuelson in 1965 gave the martingale argument; Fama's 1965 thesis named the idea the Efficient Markets Hypothesis and organized it into weaker and stronger forms. The EMH is very near, but not quite identical to, the principle that you should not be able to predict a net direction in your own price movements, if you think of your own probability assignments as if they were prices. It is a very similar set of mental motions and ideas. But if Fama ever spelled that part out in words, the lilim do not know it. The lilim think "Bayesians Don't Predictably Update" would probably have been folk knowledge among Savage, Good, Raiffa, &co in the 1960s and 1970s. The lilim say that von Fraassen's reflection principle in 1984, and Goldstein in 1983 on "the prevision of prevision", are the first explicit philosophy-literature statements they are confident about. You have heard of it because of Robin Hanson. Robin Hanson is the person I know who went around saying to people that they ought not to update in a predictable direction, as a consequence of the martingale principle underlying EMH, applied to their personal epistemic lives. So…

Why Our Kind Can't Cooperate

From when I was still forced to attend, I remember our synagogue's annual fundraising appeal. It was a simple enough format, if I recall correctly. The rabbi and the treasurer talked about the shul's expenses and how vital this annual fundraise was, and then the synagogue's members called out their pledges from their seats. Straightforward, yes? Let me tell you about a different annual fundraising appeal. One that I ran, in fact; during the early years of a nonprofit organization that may not be named. One difference was that the appeal was conducted over the Internet. And another difference was that the audience was largely drawn from the atheist/libertarian/technophile/sf-fan/early-adopter/programmer/etc crowd. (To point in the rough direction of an empirical cluster in personspace. If you understood the phrase "empirical cluster in personspace" then you know who I'm talking about.) I crafted the fundraising appeal with care. By my nature I'm too proud to ask other people for help; but I've gotten over around 60% of that reluctance over the years. The nonprofit needed money and was growing too slowly, so I put some force and poetry into that year's annual appeal. I sent it out to several mailing lists that covered most of our potential support base. And almost immediately, people started posting to the mailing lists about why they weren't going to donate. Some of them raised basic questions about the nonprofit's philosophy and mission. Others talked about their brilliant ideas for all the other sources that the nonprofit could get funding from, instead of them. (They didn't volunteer to contact any of those sources themselves, they just had ideas for how we could do it.) Now you might say, "Well, maybe your mission and philosophy did have basic problems—you wouldn't…

Cached Thoughts

One of the single greatest puzzles about the human brain is how the damn thing works at all when most neurons fire 10–20 times per second, or 200Hz tops. In neurology, the “hundred-step rule” is that any postulated operation has to complete in at most 100 sequential steps—you can be as parallel as you like, but you can’t postulate more than 100 (preferably fewer) neural spikes one after the other. Can you imagine having to program using 100Hz CPUs, no matter how many of them you had? You’d also need a hundred billion processors just to get anything done in realtime. If you did need to write realtime programs for a hundred billion 100Hz processors, one trick you’d use as heavily as possible is caching. That’s when you store the results of previous operations and look them up next time, instead of recomputing them from scratch. And it’s a very neural idiom—recognition, association, completing the pattern. It’s a good guess that the actual majority of human cognition consists of cache lookups. This thought does tend to go through my mind at certain times. There was a wonderfully illustrative story which I thought I had bookmarked, but couldn’t re-find: it was the story of a man whose know-it-all neighbor had once claimed in passing that the best way to remove a chimney from your house was to knock out the fireplace, wait for the bricks to drop down one level, knock out those bricks, and repeat until the chimney was gone. Years later, when the man wanted to remove his own chimney, this cached thought was lurking, waiting to pounce . . . As the man noted afterward—you can guess it didn’t go well—his neighbor was not particularly knowledgeable in these matters, not a trusted source. If he’d questioned the idea, he probably would have realized it was a poor one. Some cache…

The Bottom Line

There are two sealed boxes up for auction, box A and box B. One and only one of these boxes contains a valuable diamond. There are all manner of signs and portents indicating whether a box contains a diamond; but I have no sign which I know to be perfectly reliable. There is a blue stamp on one box, for example, and I know that boxes which contain diamonds are more likely than empty boxes to show a blue stamp. Or one box has a shiny surface, and I have a suspicion—I am not sure—that no diamond-containing box is ever shiny. Now suppose there is a clever arguer, holding a sheet of paper, and they say to the owners of box A and box B: “Bid for my services, and whoever wins my services, I shall argue that their box contains the diamond, so that the box will receive a higher price.” So the box-owners bid, and box B’s owner bids higher, winning the services of the clever arguer. The clever arguer begins to organize their thoughts. First, they write, “And therefore, box B contains the diamond!” at the bottom of their sheet of paper. Then, at the top of the paper, the clever arguer writes, “Box B shows a blue stamp,” and beneath it, “Box A is shiny,” and then, “Box B is lighter than box A,” and so on through many signs and portents; yet the clever arguer neglects all those signs which might argue in favor of box A. And then the clever arguer comes to me and recites from their sheet of paper: “Box B shows a blue stamp, and box A is shiny,” and so on, until they reach: “and therefore, box B contains the diamond.” But consider: At the moment when the clever arguer wrote down their conclusion, at the moment they put ink on their sheet of paper, the evidential entanglement of that physical ink with the physical boxes became fixed. It may help to visualize a collection of…

Your Strength as a Rationalist

The following happened to me in an IRC chatroom, long enough ago that I was still hanging around in IRC chatrooms. Time has fuzzed the memory and my report may be imprecise. So there I was, in an IRC chatroom, when someone reports that a friend of his needs medical advice. His friend says that he’s been having sudden chest pains, so he called an ambulance, and the ambulance showed up, but the paramedics told him it was nothing, and left, and now the chest pains are getting worse. What should his friend do? I was confused by this story. I remembered reading about homeless people in New York who would call ambulances just to be taken someplace warm, and how the paramedics always had to take them to the emergency room, even on the 27th iteration. Because if they didn’t, the ambulance company could be sued for lots and lots of money. Likewise, emergency rooms are legally obligated to treat anyone, regardless of ability to pay.1 So I didn’t quite understand how the described events could have happened. Anyone reporting sudden chest pains should have been hauled off by an ambulance instantly. And this is where I fell down as a rationalist. I remembered several occasions where my doctor would completely fail to panic at the report of symptoms that seemed, to me, very alarming. And the Medical Establishment was always right. Every single time. I had chest pains myself, at one point, and the doctor patiently explained to me that I was describing chest muscle pain, not a heart attack. So I said into the IRC channel, “Well, if the paramedics told your friend it was nothing, it must really be nothing—they’d have hauled him off if there was the tiniest chance of serious trouble.” Thus I managed to explain the story within my existing model, though the fit still felt a little forced…

Belief in Belief

Carl Sagan once told a parable of someone who comes to us and claims: “There is a dragon in my garage.” Fascinating! We reply that we wish to see this dragon—let us set out at once for the garage! “But wait,” the claimant says to us, “it is an invisible dragon.” Now as Sagan points out, this doesn’t make the hypothesis unfalsifiable. Perhaps we go to the claimant’s garage, and although we see no dragon, we hear heavy breathing from no visible source; footprints mysteriously appear on the ground; and instruments show that something in the garage is consuming oxygen and breathing out carbon dioxide. But now suppose that we say to the claimant, “Okay, we’ll visit the garage and see if we can hear heavy breathing,” and the claimant quickly says no, it’s an inaudible dragon. We propose to measure carbon dioxide in the air, and the claimant says the dragon does not breathe. We propose to toss a bag of flour into the air to see if it outlines an invisible dragon, and the claimant immediately says, “The dragon is permeable to flour.” Carl Sagan used this parable to illustrate the classic moral that poor hypotheses need to do fast footwork to avoid falsification. But I tell this parable to make a different point: The claimant must have an accurate model of the situation somewhere in their mind, because they can anticipate, in advance, exactly which experimental results they’ll need to excuse. Some philosophers have been much confused by such scenarios, asking, “Does the claimant really believe there’s a dragon present, or not?” As if the human brain only had enough disk space to represent one belief at a time! Real minds are more tangled than that. There are different types of belief; not all beliefs are direct anticipations. The claimant clearly does not anticipate seeing…

Making Beliefs Pay Rent (in Anticipated Experiences)

Thus begins the ancient parable: If a tree falls in a forest and no one hears it, does it make a sound? One says, “Yes it does, for it makes vibrations in the air.” Another says, “No it does not, for there is no auditory processing in any brain.” If there’s a foundational skill in the martial art of rationality, a mental stance on which all other technique rests, it might be this one: the ability to spot, inside your own head, psychological signs that you have a mental map of something, and signs that you don’t. Suppose that, after a tree falls, the two arguers walk into the forest together. Will one expect to see the tree fallen to the right, and the other expect to see the tree fallen to the left? Suppose that before the tree falls, the two leave a sound recorder next to the tree. Would one, playing back the recorder, expect to hear something different from the other? Suppose they attach an electroencephalograph to any brain in the world; would one expect to see a different trace than the other? Though the two argue, one saying “No,” and the other saying “Yes,” they do not anticipate any different experiences. The two think they have different models of the world, but they have no difference with respect to what they expect will happen to them; their maps of the world do not diverge in any sensory detail. It’s tempting to try to eliminate this mistake class by insisting that the only legitimate kind of belief is an anticipation of sensory experience. But the world does, in fact, contain much that is not sensed directly. We don’t see the atoms underlying the brick, but the atoms are in fact there. There is a floor beneath your feet, but you don’t experience the floor directly; you see the light reflected from the floor, or rather, you see what your retina and visual…

Knowing About Biases Can Hurt People

Once upon a time I tried to tell my mother about the problem of expert calibration, saying: “So when an expert says they’re 99% confident, it only happens about 70% of the time.” Then there was a pause as, suddenly, I realized I was talking to my mother, and I hastily added: “Of course, you’ve got to make sure to apply that skepticism evenhandedly, including to yourself, rather than just using it to argue against anything you disagree with—” And my mother said: “Are you kidding? This is great! I’m going to use it all the time!” Taber and Lodge’s “Motivated Skepticism in the Evaluation of Political Beliefs” describes the confirmation of six predictions: Prior attitude effect. Subjects who feel strongly about an issue—even when encouraged to be objective—will evaluate supportive arguments more favorably than contrary arguments. Disconfirmation bias. Subjects will spend more time and cognitive resources denigrating contrary arguments than supportive arguments. Confirmation bias. Subjects free to choose their information sources will seek out supportive rather than contrary sources. Attitude polarization. Exposing subjects to an apparently balanced set of pro and con arguments will exaggerate their initial polarization. Attitude strength effect. Subjects voicing stronger attitudes will be more prone to the above biases. Sophistication effect. Politically knowledgeable subjects, because they possess greater ammunition with which to counter-argue incongruent facts and arguments, will be more prone to the above biases. If you’re irrational to start with, having more knowledge can hurt you. For a true Bayesian, information would never have negative expected utility. But humans aren’t perfect Bayes-wielders; if we’re not careful, we can cut ourselves. I’ve seen people severely…

Tsuyoku Naritai! (I Want To Become Stronger)

In Orthodox Judaism there is a saying: “The previous generation is to the next one as angels are to men; the next generation is to the previous one as donkeys are to men.” This follows from the Orthodox Jewish belief that all Judaic law was given to Moses by God at Mount Sinai. After all, it’s not as if you could do an experiment to gain new halachic knowledge; the only way you can know is if someone tells you (who heard it from someone else, who heard it from God). Since there is no new source of information; it can only be degraded in transmission from generation to generation. Thus, modern rabbis are not allowed to overrule ancient rabbis. Crawly things are ordinarily unkosher, but it is permissible to eat a worm found in an apple—the ancient rabbis believed the worm was spontaneously generated inside the apple, and therefore was part of the apple. A modern rabbi cannot say, “Yeah, well, the ancient rabbis knew diddly-squat about biology. Overruled!” A modern rabbi cannot possibly know a halachic principle the ancient rabbis did not, because how could the ancient rabbis have passed down the answer from Mount Sinai to him? Knowledge derives from authority, and therefore is only ever lost, not gained, as time passes. When I was first exposed to the angels-and-donkeys proverb in (religious) elementary school, I was not old enough to be a full-blown atheist, but I still thought to myself: “Torah loses knowledge in every generation. Science gains knowledge with every generation. No matter where they started out, sooner or later science must surpass Torah.” The most important thing is that there should be progress. So long as you keep moving forward you will reach your destination; but if you stop moving you will never reach it. Tsuyoku naritai is Japanese. Tsuyoku is…

Politics is the Mind-Killer

People go funny in the head when talking about politics. The evolutionary reasons for this are so obvious as to be worth belaboring: In the ancestral environment, politics was a matter of life and death. And sex, and wealth, and allies, and reputation . . . When, today, you get into an argument about whether “we” ought to raise the minimum wage, you’re executing adaptations for an ancestral environment where being on the wrong side of the argument could get you killed. Being on the right side of the argument could let you kill your hated rival! If you want to make a point about science, or rationality, then my advice is to not choose a domain from contemporary politics if you can possibly avoid it. If your point is inherently about politics, then talk about Louis XVI during the French Revolution. Politics is an important domain to which we should individually apply our rationality—but it’s a terrible domain in which to learn rationality, or discuss rationality, unless all the discussants are already rational. Politics is an extension of war by other means. Arguments are soldiers. Once you know which side you’re on, you must support all arguments of that side, and attack all arguments that appear to favor the enemy side; otherwise it’s like stabbing your soldiers in the back—providing aid and comfort to the enemy. People who would be level-headed about evenhandedly weighing all sides of an issue in their professional life as scientists, can suddenly turn into slogan-chanting zombies when there’s a Blue or Green position on an issue. In artificial intelligence, and particularly in the domain of nonmonotonic reasoning, there’s a standard problem: “All Quakers are pacifists. All Republicans are not pacifists. Nixon is a Quaker and a Republican. Is Nixon a pacifist?” What…

Twelve Virtues of Rationality

The first virtue is curiosity. A burning itch to know is higher than a solemn vow to pursue truth. To feel the burning itch of curiosity requires both that you be ignorant, and that you desire to relinquish your ignorance. If in your heart you believe you already know, or if in your heart you do not wish to know, then your questioning will be purposeless and your skills without direction. Curiosity seeks to annihilate itself; there is no curiosity that does not want an answer. The glory of glorious mystery is to be solved, after which it ceases to be mystery. Be wary of those who speak of being open-minded and modestly confess their ignorance. There is a time to confess your ignorance and a time to relinquish your ignorance. The second virtue is relinquishment. P. C. Hodgell said: “That which can be destroyed by the truth should be.”[1] Do not flinch from experiences that might destroy your beliefs. The thought you cannot think controls you more than thoughts you speak aloud. Submit yourself to ordeals and test yourself in fire. Relinquish the emotion which rests upon a mistaken belief, and seek to feel fully that emotion which fits the facts. If the iron approaches your face, and you believe it is hot, and it is cool, the Way opposes your fear. If the iron approaches your face, and you believe it is cool, and it is hot, the Way opposes your calm. Evaluate your beliefs first and then arrive at your emotions. Let yourself say: “If the iron is hot, I desire to believe it is hot, and if it is cool, I desire to believe it is cool.” Beware lest you become attached to beliefs you may not want. The third virtue is lightness. Let the winds of evidence blow you about as though you are a leaf, with no direction of your own. Beware lest you fight a rearguard retreat against the…