I don’t claim originality for any content here; people who’ve been influential on this include Nick Beckstead, Phil Trammell, Toby Ord, Aron Vallinder, Allan Dafoe, Matt Wage, and, especially, Holden Karnofsky and Carl Shulman. Everything tentative; errors all my own.
EDIT: Since writing this post, I've written an article on the same topic, forthcoming in a Festschrift in honor of Derek Parfit, available at my website here. The broad thrust is the same, but the details are improved. I'd encourage you to read that article rather than this blog post.
The most important change is to the priors-based argument. The priors-based argument I give in the text below is very poorly stated, and probably led to unnecessary confusion. I've revised the argument which I think now better represents the perspective I was arguing for here.
I've made a few other changes, too:
- I frame the argument in terms of the most influential people, rather than the most influential times. It’s the more natural reference class, and is more action-relevant.
- I use the term ‘influential’ rather than ‘hingey’.
- I define ‘influentialness’ (aka ‘hingeyness’) in terms of ‘how much expected good you can do’, not just ‘how much expected good you can do from a longtermist perspective’. Again, that’s the more natural formulation, and, importantly, one way in which we could fail to be at the most influential time (in terms of expected good done by direct philanthropy) is if longtermism is false and, say, we only discover the arguments that demonstrate that in a few decades’ time.
- The paper includes a number of graphs, which I think helps make the case clearer.
The main things that are missing from the article version are (i) discussion the simulation argument, which is discussed in the post below, and (ii) the arguments and counterarguments about priors, which are in the comments.
Introduction
Here are two distinct views:
Strong Longtermism := The primary determinant of the value of our actions is the effects of those actions on the very long-run future.
The Hinge of History Hypothesis (HoH) := We are living at the most influential time ever.
It seems that, in the effective altruism community as it currently stands, those who believe longtermism generally also assign significant credence to HoH; I’ll precisify ‘significant’ as >10% when ‘time’ is used to refer to a period of a century, but my impression is that many longtermists I know would assign >30% credence to this view. It’s a pretty striking fact that these two views are so often held together — they are very different claims, and it’s not obvious why they should so often be jointly endorsed.
This post is about separating out these two views and introducing a view I call outside-view longtermism, which endorses longtermism but finds HoH very unlikely. I won’t define outside-view longtermism here, but the spirit is that — as our best guess — we should expect the future to continue the trends of the past, and we should be sceptical of the idea that now is a particularly unusual time. I think that outside-view longtermism is currently a neglected position within EA and deserves some defense and exploration.
Before we begin, I’ll note I’m not making any immediate claim about the actions that follow from outside-view longtermism. It’s plausible to me that whether we have 30% or just 0.1% credence in HoH, we should still be investing significant resources into the activities that would be best were HoH true. The most obvious implication, however, is regarding what proportion of resources longtermist EAs should be spending on near-term existential risk mitigation versus what I call ‘buck-passing’ strategies like saving or movement-building. If you think that some future time will be much more influential than today, then a natural strategy is to ensure that future decision-makers, who you are happy to defer to, have as many resources as possible when some future, more influential, time comes. So in what follows I’ll sometimes use this as the comparison activity.
Getting the definitions down
We’ve defined strong longtermism informally above and in more detail in this post.
For HoH, defining ‘most influential time’ is pretty crucial. Here’s my proposal:
a time ti is more influential (from a longtermist perspective) than a time tj iff you would prefer to give an additional unit of resources, that has to be spent doing direct work (rather than investment), to a longtermist altruist living at ti rather than to a longtermist altruist living at tj.
(I’ll also use the term ‘hingier’ to be synonymous with ‘more influential’.)
This definition gets to the nub of the matter, for me. It seems to me that, for most times in human history, longtermists ought, if they could, to have been investing their resources (via values-spreading as well as literal investment) in order that they have greater influence at hingey moments when one’s ability to influence the long-run future is high. It’s a crucial question for longtermists whether now is a very hingey moment, and so whether they should be investing or doing direct work.
It’s significant that my definition focuses on how much influence a person at a time can have, rather than how much influence occurs during a time period. It could be the case, for example, that the 20th century was a bigger deal than the 17th century, but that, because there were 1/5th as many people alive during the 17th century, a longtermist altruist could have had more direct impact in the 17th century than in the 20th century.
It’s also significant that, on this definition, you need to take into account the level of knowledge and understanding of the average longtermist altruist at the time. This seems right to me. For example, hunter-gatherers could contribute more to tech speed-up than people now (see Carl Shulman’s post here); but they wouldn’t have known, or been in a position to know, that trying to innovate was a good way to benefit the very long-run future. (In that post, Carl mentions some reasons for thinking that such impact was knowable, but prior to the 17th century people didn’t even have the concept of expected value, so I’m currently sceptical.)
So I’m really bundling two different ideas into the concept of ‘most influential’: how pivotal a particular moment in time is, and how much we’re able to do something about that fact. Perhaps we’re at a really transformative moment now, and we can, in principle, do something about it, but we’re so bad at predicting the consequences of our actions, or so clueless about what the right values are, that it would be better for us to save our resources and give them to future longtermists who have greater knowledge and are better able to use their resources, even at that less pivotal moment. If this were true, I would not count this time as being exceptionally influential.
Strong longtermism even if HoH is not true
I mentioned that it’s surprising that strong longtermism and significant credence in HoH are so often held together. But here’s one reason why you might think you should put significant credence in HoH iff you believe longtermism: You might accept that most value is in the long-run future, but think that, at most times in history so far, we’ve been unable to do anything about that value. So it’s only because HoH is true that longtermism is true. But I don’t think that’s a good argument, for a few reasons.
First, given the stakes involved, it’s plausible that even a small chance of being at a period of unusually high extinction or lock-in risk is enough for working on extinction risk or lock-in scenarios to be higher expected value than short-run activities. So, you can reasonably think that (i) HoH is unlikely (e.g. 0.1% likely), but that (ii) when combined with the value of being able to influence the value of the long-run future, a small chance of HoH being true is enough to make strong longtermism true.
Second, even if we’re merely at a relatively hingey time — just not the most hingey time — as long as there are some actions that have persistent long-run effects that are positive in expected value, that’s plausibly sufficient for strong longtermism to be true.
Third, you could even be certain that HoH is false, and that there are currently no direct activities with persistent impacts, but still believe that longtermism is true if, as is natural to suppose, you have the option of investing resources, enabling future longtermist altruists to take action at a time which is more influential.
Arguments for HoH
In this post, I’m going to simply state, but not discuss, some views on which something like HoH would be entailed, and some arguments for thinking HoH is likely. Each of these views and arguments require a lot more discussion, and often have had a lot more discussion elsewhere.
There are two commonly held views that entail something like HoH:
The Value Lock-in view
Most starkly, according to a view regarding AI risk most closely associated with Nick Bostrom and Eliezer Yudkowsky: it’s likely that we will develop AGI this century, and it’s likely that AGI will quickly transition to superintelligence. How we handle that transition determines how the entire future of civilisation goes: if the superintelligence ‘wins’, then the entire future of civilisation is determined in accord with the superintelligence’s goals; if humanity ‘wins’, then the entire future of civilisation is determined in accord with whoever controls the superintelligence, which could be everyone, or could be a small group of people. If this story is right, and we can influence which of these scenarios occurs, then this century is the most influential time ever.
A related, but more general, argument, is that the most pivotal point in time is when we develop techniques for engineering the motivations and values of the subsequent generation (such as through AI, but also perhaps through other technology, such as genetic engineering or advanced brainwashing technology), and that we’re close to that point. (H/T Carl Shulman for stating this more general view to me).
The Time of Perils view
According to the Time of Perils view, we live in a period of unusually high extinction risk, where we have the technological power to destroy ourselves but lack the wisdom to be able to ensure we don’t; after this point annual extinction risk will go to some very low level. Support for this view could come from both outside-view and inside-view reasoning: the outside-view argument would claim that extinction risk has been unusually high since the advent of nuclear weapons; the inside-view argument would point to extinction risk from forthcoming technologies like synthetic biology.
The ‘unusual’ is important here. Perhaps extinction risk is high at this time, but will be even higher at some future times. In which case those future times might be even hingier than today. Or perhaps extinction risk is high, but will stay high indefinitely, in which case the future is not huge in expectation, and the grounds for strong longtermism fall away.
And, for the Time of Perils view to really support HoH, it’s not quite enough to show that extinction risk is unusually high; what’s needed is that extinction risk mitigation efforts are unusually cost-effective. So part of the view must be not only that extinction risk is unusually high at this time, but also that longtermist altruists are unusually well-placed to decrease those risks — perhaps because extinction risk reduction is unusually neglected.
Outside-View Arguments
The Value Lock-In and Time of Perils views are the major views on which HoH — or something similar — would be supported. But there are also a number of more general, and more outside-view-y, arguments that might be taken as evidence in favour of HoH:
- That we’re unusually early on in human history, and earlier generations in general have the ability to influence the values and motivations of later generations.
- That we’re at an unusually high period of economic and technological growth.
- That the long-run trend of economic growth means we should expect extremely rapid growth into the near future, such that we should expect to hit the point of fastest-ever growth fairly soon, before slowing down.
- That we’re unusually well-connected and able to cooperate in virtue of being on one planet.
- That we’re unusually likely to become extinct in virtue of being on one planet.
My view is that, in the aggregate, these outside-view arguments should substantially update one from one’s prior towards HoH, but not all the way to significant credence in HoH.
Arguments against HoH
#1: The outside-view argument against HoH
Informally, the core argument against HoH is that, in trying to figure out when the most influential time is, we should consider all of the potential billions of years through which civilisation might exist. Out of all those years, there is just one time that is the most influential. According to HoH, that time is… right now. If true, that would seem like an extraordinary coincidence, which should make us suspicious of whatever reasoning led us to that conclusion, and which we should be loath to accept without extraordinary evidence in its favour. We don’t have such extraordinary evidence in its favour. So we shouldn’t believe in HoH.
I’ll take each of the key claims in this argument in turn:
- It’s a priori extremely unlikely that we’re at the hinge of history
- The belief that we’re at the hinge of history is fishy
- Relative to such an extraordinary claim, the arguments that we’re at the hinge of history are not sufficiently extraordinarily powerful
Claim 1
That HoH is a priori unlikely should be pretty obvious. It’s hard to know exactly what ur-prior to use for this claim, though. One natural thought is that we could use, say, 1 trillion years’ time as an early estimate for the ‘end of time’ (due to the last naturally occurring star formation), and a 0.01% chance of civilisation surviving that long. Then, as a lower bound, there are an expected 1 million centuries to come, and the natural prior on the claim that we’re in the most influential century ever is 1 in 1 million. This would be too low in one important way, namely that the number of future people is decreasing every century, so it’s much less likely that the final century will be more influential than the first century. But even if we restricted ourselves to a uniform prior over the first 10% of civilisation’s history, the prior would still be as low as 1 in 100,000.
(This is a very rough argument. I really don’t know what the right ur-prior is to set here, and I’d be keen to see further discussion, as it potentially changes one’s posterior on HoH by an awful lot.)
[Later Edit (Mar 2020): The way I state the choice of prior in the text above was mistaken, and therefore caused some confusion. The way I should have stated the prior choice, to represent what I was thinking of, is as follows:
The prior probability of us living in the most influential century, conditional on Earth-originating civilization lasting for n centuries, is 1/n.
The unconditional prior probability over whether this is the most influential century would then depend on one's priors over how long Earth-originating civilization will last for. However, for the purpose of this discussion we can focus on just the claim that we are at the most influential century AND that we have an enormous future ahead of us. If the Value Lock-In or Time of Perils views are true, then we should assign a significant probability to that claim. (i.e. they are claiming that, if we act wisely this century, then this conjunctive claim is probably true.) So that's the claim we can focus our discussion on.
It's worth noting that my proposal follows from the Self-Sampling Assumption, which is roughly (as stated by Teru Thomas ('Self-location and objective chance' (ms)): "A rational agent’s priors locate him uniformly at random within each possible world." I believe that SSA is widely held: the key question in the anthropic reasoning literature is whether it should be supplemented with the self-indication assumption (giving greater prior probability mass to worlds with large populations). But we don't need to debate SIA in this discussion, because we can simply assume some prior probability distribution over sizes over the total population - the question of whether we're at the most influential time does not require us to get into debates over anthropics.]
Claim 2
Lots of things are a priori extremely unlikely yet we should have high credence in them: for example, the chance that you just dealt this particular (random-seeming) sequence of cards from a well-shuffled deck of 52 cards is 1 in 52! ≈ 1 in 10^68, yet you should often have high credence in claims of that form. But the claim that we’re at an extremely special time is also fishy. That is, it’s more like the claim that you just dealt a deck of cards in perfect order (2 to Ace of clubs, then 2 to Ace of diamonds, etc) from a well-shuffled deck of cards.
Being fishy is different than just being unlikely. The difference between unlikelihood and fishiness is the availability of alternative, not wildly improbable, alternative hypotheses, on which the outcome or evidence is reasonably likely. If I deal the random-seeming sequence of cards, I don’t have reason to question my assumption that the deck was shuffled, because there’s no alternative background assumption on which the random-seeming sequence is a likely occurrence. If, however, I deal the deck of cards in perfect order, I do have reason to significantly update that the deck was not in fact shuffled, because the probability of getting cards in perfect order if the cards were not shuffled is reasonably high. That is: P(cards not shuffled)P(cards in perfect order | cards not shuffled) >> P(cards shuffled)P(cards in perfect order | cards shuffled), even if my prior credence was that P(cards shuffled) > P(cards not shuffled), so I should update towards the cards having not been shuffled.
Similarly, if it seems to me that I’m living in the most influential time ever, this gives me good reason to suspect that the reasoning process that led me to this conclusion is flawed in some way, because P(I’m reasoning poorly)P(seems like I’m living at the hinge of history | I’m reasoning poorly) >> P(I’m reasoning correctly)P(seems like I’m living at the hinge of history | I’m reasoning correctly). In contrast, I wouldn’t have the same reason to doubt my underlying assumptions if I concluded that I was living in the 1047th most influential century.
The strength of this argument depends in part on how confident we are on our own reasoning abilities in this domain. But it seems to me there’s a strong risk of bias in our assessment of the evidence regarding how influential our time is, for a few reasons:
- Salience. It’s much easier to see the importance of what’s happening around us now, which we can see and is salient to us, than it is to assess the importance of events in the future, involving technologies and institutions that are unknown to us today, or (to a lesser extent) the importance of events in the past, which we take for granted and involve unsalient and unfamiliar social settings.
- Confirmation. For those of us, like myself, who would very much like for the world to be taking much stronger action on extinction risk mitigation (even if the probability of extinction is low) than it is today, it would be a good outcome if people (who do not have longtermist values) think that the risk of extinction is high, even if it’s low. So we might be biased (subconsciously) to overstate the case in our favour. And, in general, people have a tendency towards confirmation bias: once they have a conclusion (“we should take extinction risk a lot more seriously”), they tend to marshall arguments in its favour, rather than carefully assess arguments on either side, more than they should. Though we try our best to avoid such biases, it’s very hard to overcome them.
- Track record. People have a poor track record of assessing the importance of historical developments. And in particular, it seems to me, technological advances are often widely regarded as being more dangerous than they are. Some examples include assessment of risks from nuclear power, horse manure from horse-drawn carts, GMOs, the bicycle, the train, and many modern drugs.
I don’t like putting weight on biases as a way of dismissing an argument outright (Scott Alexander gives a good run-down of reasons why here). But being aware that long-term forecasting is an area that’s very difficult to reason correctly about should make us quite cautious when updating from our prior.
If you accept you should have a very low prior in HoH, you need to be very confident that you’re good at reasoning about the long-run significance of events (such as the magnitude of risk from some new technology) in order to have a significant posterior credence in HoH, rather than concluding we’re mistaken in some way. But we have no reason to believe that we’re very reliable in our reasoning in these matters. We don’t have a good track record of making predictions about the importance of historical events, and some track record of being badly wrong. So, if a chain of reasoning leads us to the conclusion that we’re living in the most important century ever, we should think it more likely that our reasoning has gone wrong than that the conclusion really is true. Given the low base rate, and given our faulty tools for assessing the claim, the evidence in favour of HoH is almost certainly a false positive.
Claim 3
I’ve described some of the arguments for thinking that we’re at an unusually influential time in the previous section above.
I won’t discuss the object-level of these arguments here, but it seems hard to see how these arguments could be strong enough to move us from the very low prior all the way to significant credence in HoH. To illustrate: a randomised controlled trial with a p-value of 0.05, under certain reasonable assumptions, corresponds to a Bayes factor of around 3; a Bayes factor of 100 is regarded as ‘decisive’ evidence. In order to move from a prior of 1 in 100,000 to a posterior of 1 in 10, one would need a Bayes factor of 10,000 — extraordinarily strong evidence.
But, so this argument goes, the evidence we have for either the Value Lock-in view or the Time of Perils view are informal arguments. They aren’t based on data (because they generally concern future events) nor, in general, are they based on trend extrapolation, nor are they based on very well-understood underlying mechanisms, such as physical mechanisms. And the range of deep critical engagement with those informal arguments, especially from ‘external’ critics, has, so far, been limited. So it’s hard to see why we should give them much more evidential weight than, say, a well-done RCT with a p-value at 0.05 — let alone assign them an evidential weight 3000 times that amount.
An alternative path to the same conclusion is as follows. Suppose that, if we’re at the hinge of history, we’d certainly have seeming evidence that we’re at the hinge of history; so say that P(E | HoH ) ≈ 1. But if we weren’t at the hinge of history, what would be the chances of us seeing seeming evidence that we are at the hinge of history? It’s not astronomically low; perhaps P(E | ¬HoH ) ≈ 0.01. (This would seem reasonable to believe if we found just one century in the past 10,000 years where people would have had strong-seeming evidence in favour of the idea that they were at the hinge of history. This seems conservative. Consider: the periods of the birth of Christ and early Christianity; the times of Moses, Mohammed, Buddha and other religious leaders; the Reformation; the colonial period; the start of the industrial revolution; the two world wars and the defeat of fascism; and countless other events that would have seemed momentous at the time but have since been forgotten in the sands of history. These might have all seemed like good evidence to the observers at the time that they were living at the hinge of history, had they thought about it.) But, if so, then our Bayes factor is 100 (or less): enough to push us from 1 in 100,000 to 1 in 1000 in HoH, but not all the way to significant credence.
#2: The Inductive Argument against HoH
In addition to the previous argument, which relies on priors and claims we shouldn’t move drastically far from those priors, there’s a positive argument against HoH, which gives us evidence against HoH, whatever our priors. This argument is based on induction from past times.
If, when looking into the past, we saw hinginess steadily decrease, that would be a good reason for thinking that now is hingier than all times to come, and so we should take action now rather than pass resources on to future longtermists. If we had seen hinginess steadily increase, then we have some reason for thinking that the hingiest times are yet to come; if we had a good understanding of the mechanism of why hinginess is increasing, and knew that mechanism was set to continue into the future, that would strengthen that argument further.
I suggest that in the past, we have seen hinginess increase. I think that most longtermists I know would prefer that someone living in 1600 passed resources onto us, today, rather than attempting direct longtermist influence. (I certainly would prefer this.) One reason for thinking this would be if one thinks that now is simply a more pivotal point in time, because of our current level of technological progress. However, the stronger reason, it seems to me, is that our knowledge has increased so considerably since then. (Recall that on my definition a particularly hingey time depends both on how pivotal the period in history is and the extent to which a longtermist at the time would know enough to do something about it.) Someone in 1600 couldn’t have had knowledge of AI, or population ethics, or the length of time that humanity might continue for, or of expected utility theory, or of good forecasting practices; they would have had no clue about how to positively influence the long-run future, and might well have done harm. Much the same is true of someone in 1900 (though they would have had access to some of those concepts). It’s even true of someone in 1990, before people became aware of risks around AI. So, in general, hinginess is increasing, because our ability to think about the long-run effects of our actions, evaluate them, and prioritise accordingly, is increasing.
But we know that we aren’t anywhere close to having fully worked out how to think about the long-run effects of our actions, evaluate them, and prioritise accordingly. We should confidently expect that in the future we will come across new crucial considerations — as serious as the idea of population ethics, or AI risk — or major revisions of our views. So, just as we think that people in the past should have passed resources onto us rather than do direct work, so, this argument goes, we should pass resources into the future rather than do direct longtermist work. We should think, in virtue of future people’s far better epistemic state, that some future time is more influential.
There are at least three ways in which our knowledge is changing or improving over time, and it’s worth distinguishing them:
- Our basic scientific and technological understanding, including our ability to turn resources into things we want.
- Our social science understanding, including our ability to make predictions about the expected long-run effects of our actions.
- Our values.
It’s clear that we are improving on (1) and (2). All other things being equal, this gives us reason to give resources to future people to use rather than to use those resources now. The importance of this, it seems to me, is very great. Even just a few decades ago, a longtermist altruist would not have thought of risk from AI or synthetic biology, and wouldn’t have known that they could have taken action on them. Even now, the science of good forecasting practices is still in its infancy, and the study of how to make reliable long-term forecasts is almost nonexistent.
It’s more contentious whether we’re improving on (3) — for this argument one’s meta-ethics becomes crucial. Perhaps the Victorians would have had a very poor understanding of how to improve the long-run future by the lights of their own values, but they would have still preferred to do that than to pass resources onto future people, who would have done a better job of shaping the long-run future but in line with a different set of values. So if you endorse a simple subjectivist view, you might think that even in such an epistemically impoverished state you should still prefer to act now rather than pass the baton on to future generations with aims very different from yours (and even then you might still want to save money in a Victorian-values foundation to grant out at a later date). This view also makes the a priori unlikelihood of living at the hinge of history much less: from the perspective of your idiosyncratic values, now is the only time that they are instantiated in physical form, so of course this time is important!
In contrast, if you are more sympathetic to moral realism (or a more sophisticated form of subjectivism), as I am, then you’ll probably be more sympathetic to the idea that future people will have a better understanding of what’s of value than you do now, and this gives another reason for passing the baton on to future generations. For just some ways in which we should expect moral progress: Population ethics was first introduced as a field of enquiry in the 1980s (with Parfit’s Reasons and Persons); infinite ethics was only first seriously discussed in moral philosophy in the early 1990s (e.g. Vallentyne’s Utilitarianism and Infinite Utility), and it’s clear we don’t know what the right answers are; moral uncertainty was only first discussed in modern times in 2000 (with Lockhart’s Moral Uncertainty and its Consequences) and had very little attention until around the 2010s (with Andrew Sepielli’s PhD and then my DPhil), and again we’ve only just scraped the surface of our understanding of it.
So, just as we think that the intellectual impoverishment of the Victorians means they would have done a terrible job of trying to positively influence the long-run future, we should think that, compared to future people, we are thrashing around in ignorance. In which case we don’t have the level of understanding required for ours to be the most influential time.
#3: The simulation update argument against HoH
The final argument is:
- If it seems to you that you’re at the most influential time ever, you’re differentially much more likely to be in a simulation. (That is: P(simulation | seems like HoH ) >> P(not-simulation | seems like HoH).)
- The case for focusing on AI safety and existential risk reduction is much weaker if you live in a simulation than if you don’t. (In general, I’d aver that we have very little understanding of the best things to do if we’re in a simulation, though there’s a lot more to be said here.)
- So we should not make a major update in the most action-relevant proposition, which is that we’re both at the hinge of history and not in a simulation.
The primary reason for believing (1) is that the most influential time in history would seem likely to be a very common subject of study by our descendents, and much more common than other periods in time. (Just as crucial periods in time, like the industrial revolution, get vastly more study by academics today than less pivotal periods, like 4th century Indonesia.) The primary reasons for believing (2) are that if we’re in a simulation it’s much more likely that the future is short, and that extending our future doesn’t change the total amount of lived experiences (because the simulators will just run some other simulation afterwards), and that we’re missing some crucial consideration around how to act.
This argument is really just a special case of argument #1: if it seems like you’re at the most influential point in time ever, probably something funny is going on. The simulation idea is just one way of spelling out ‘something funny going on’. I’m personally reticent to make major updates in the direction of living in a simulation on the basis of this rather than updates to more banal hypotheses like just some inside-view arguments not actually being very strong; but others might disagree on this.
Might today be merely an enormously influential time?
In response to the arguments I’ve given above, you might say: “Ok, perhaps we don’t have good reasons for thinking that we’re at the most influential time in history. But the arguments support the idea that we’re at an enormously influential time. And very little changes whether you think that we’re at the most influential time ever, or merely at an enormously influential time, even though some future time is even more influential again.”
However, I don’t think this response is a good one, for three reasons.
First, the implication that we’re among the very most influential times is susceptible to very similar arguments to the ones that I gave against HoH. The idea that we’re in one of the top-10 most influential times is 10x more a priori likely than the claim that we’re in the most influential time, and it’s perhaps more than 10x less fishy. But it’s still extremely a priori unlikely, and still very fishy. So that should make us very doubtful of the claim, in the absence of extraordinarily powerful arguments in its favour.
Second, some views that are held in the effective altruism community seem to imply not just that we’re at some very influential time, but that we’re at the most influential time ever. On the fast takeoff story associated with Bostrom and Yudkowsky, once we develop AGI we rapidly end up with a universe determined in line with a singleton superintelligence’s values, or in line with the values of those who manage to control it. Either way, it’s the decisive moment for the entire rest of civilisation. But if you find the claim that we’re at the most influential time ever hard to swallow, then you have, by modus tollens, to reject that story of the development of superintelligence.
Third, even if we’re at some enormously influential time right now, if there’s some future time that is even more influential, then the most obvious EA activity would be to invest resources (whether via financial investment or some sort of values-spreading) in order that our resources can be used at that future, more high-impact, time. Perhaps there’s some reason why that plan doesn’t make sense; but, currently, almost no-one is even taking that possibility seriously.
Possible other hinge times
If now isn’t the most influential time ever, when is? I’m not going to claim to be able to answer that question, but in order to help make alternative possibilities more vivid I’ve put together a list of times in the past and future that seem particularly hingey to me.
Of course, it’s much more likely, a priori, that if HoH is false, then the most influential time is in the future. And we should also care more about the hingeyness of future times than of past times, because we can try to save resources to affect future times, but we know we can’t affect past times. But past hingeyness might still be relevant for assessing hingeyness today: If hingeyness has been continually decreasing over time, that gives us some reason for thinking that the present time is more influential than any future time; if it’s been up and down, or increasing over time, that might give us evidence for thinking that some future time will be more influential.
Looking through history, some candidates for particularly influential times might include the following (though in almost every case, it seems to me, the people of the time would have been too intellectually impoverished to have known how hingey their time was and been able to do anything about it):
- The hunter-gatherer era, which offered individuals the ability to have a much larger impact on technological progress than today.
- The Axial age, which offered opportunities to influence the formation of what are today the major world religions.
- The colonial period, which offered opportunities to influence the formation of nations, their constitutions and values.
- The formation of the USA, especially at the time just before, during and after the Philadelphia Convention when the Constitution was created.
- World War II, and the resultant comparative influence of liberalism vs fascism over the world.
- The post-WWII formation of the first somewhat effective intergovernmental institutions like the UN.
- The Cold War, and the resultant comparative influence of liberalism vs communism over the world.
In contrast, if the hingiest times are in the future, it’s likely that this is for reasons that we haven’t thought of. But there are future scenarios that we can imagine now that would seem very influential:
- If there is a future and final World War, resulting in a unified global culture, the outcome of that war could partly determine what values influence the long-run future.
- If one religion ultimately outcompetes both atheism and other religions and becomes a world religion, then the values embodied in that religion could partly determine what values influence the long-run future.
- If a world government is formed, whether during peacetime or as a result of a future World War, then the constitution embodied in that could constrain development over the long-run future, whether by persisting indefinitely, having knock-on effects on future institutions, or by influencing how some other lock-in event takes place.
- The time at which settlement of other solar systems begins could be highly influential for longtermists. For example, the ownership of other solar systems could be determined by an auction among nations and/or companies and individuals (much as the USA purchased Alaska and a significant portion of the midwest in the 19th century); or by an essentially lawless race between nations (as happened with European colonisation); or through war (as has happened throughout history). If the returns from interstellar settlement pay off only over very long timescales (which seems likely), and if most of the decision-makers of the time still intrinsically discount future benefits, then longtermists at the time would be able to cheaply buy huge influence over the future.
- The time when the settlement of other galaxies begins, which might obey similar dynamics to the settlement of other solar systems.
Implications
I said at the start that it’s non-obvious what follows, for the purposes of action, from outside-view longtermism. The most obvious course of action that might seem comparatively more promising is investment, such as saving in a long-term foundation, or movement-building, with the aim of increasing the amount of resources longtermist altruists have at a future, more hingey time. And, if one finds my second argument compelling, then research, especially into social science and moral and political philosophy, might also seem unusually promising.
These are activities that seem like they would have been good strategies across many times in the past. If we think that today is not exceptionally different from times in the past, this gives us reason to think that they are good strategies now, too.
Hi Will,
It is great to see all your thinking on this down in one place: there are lots of great points here (and in the comments too). By explaining your thinking so clearly, it makes it much easier to see where one departs from it.
My biggest departure is on the prior, which actually does most of the work in your argument: it creates the extremely high bar for evidence, which I agree probably couldn’t be met. I’ve mentioned before that I’m quite sure the uniform prior is the wrong choice here and that this makes a big difference. I’ll explain a bit about why I think that.
As a general rule if you have a domain like this that extends indefinitely in one direction, the correct prior is one that diminishes as you move further away in that direction, rather than picking a somewhat arbitrary end point and using a uniform prior on that. People do take this latter approach in scientific papers, but I think it is usually wrong to do so. Moreover in your case in particular, there are also good reasons to suspect that the chance of a century being the most influential should diminish over time. Especially because there are important kinds of significant event (such as the value lock-in or an existential catastrophe) where early occurrence blocks out later occurrence.
This directly leads to diminishing credence over time. e.g. if there is a known constant chance of such a key event happening in any century conditional on not happening before that time then the chance it first happens in any century diminishes exponentially as time goes on. Or if this chance is unknown and could be anything between zero and one, then instead of an exponential decline, it diminishes more slowly (analogous to Weitzman discounting). The most famous model of this is Laplace’s Law of Succession, where if your prior for the unknown contstant hazard rate per time period is uniform on the interval between 0 and 1, then the chance it happens in the nth period if it hasn’t before is 1/n+2 — a hyperbola. I think hazard rates closer to zero and one are more likely than those in between, so I prefer the bucket shaped Jeffrey’s prior (= Beta(0.5, 0.5) for the maths nerds out there), which gives a different hyperbola of 1/2n+2 (and makes my case a little bit harder than if I’d settled for the uniform prior).
A raw application of this would say that since Homo sapiens has been around for 2,000 centuries (without, let us suppose, having had such a one-off critical time yet), the chance it happens this century is 1 in 2,002 (or 1 in 4,002). [Actually I’ll just say 1 in 2,000 or (1 in 4,000), as the +2 is just an artefact of how we cut up the time periods and can be seen to go to zero when we use continuous time.] This is a lot more likely than your 1 in a million or 1 in 100,000. And it gets even more so when you run it in terms of persons or person years (as I believe you should). i.e. measure time with a clock that ticks as each lifetime ends, rather than one that ticks each second. e.g. about 1/20th of all people who have ever lived are alive now, so the next century it is not really 1/2,000th of human history but more like 1/20th of it. On this clock and with this prior, one would expect a 1/20 (or 1/40) chance of a pivotal event (first) occurring.
Note that while your model applied a kind of principle of indifference uniformly across time, saying each century was equally likely (a kind of outside view), my model makes similar sounding assumptions. It assumes that each century is equally likely to have such a high stakes pivotal event (conditional on it not already happening), and if you do the maths, this also corresponds to each order of magnitude of time having an equal (unconditional) chance of the the pivotal event happening in it (i.e. instead of equal chance in century 1, century 2, century 3… it is equal chance in centuries 1 to 10, centuries 10 to 100, centuries 100 to 1,000), which actually seems more intuitive to me. Then there is the wrinkle that I don’t assign it across clock time, but across persons or person-years (e.g. where I say ‘century’ your could read it as ‘1 trillion person years’). All these choices are inspired by very similar motivations to how you chose your prior.
[As an interesting side-note, this kind of prior is also what you get if you apply Richard Gott’s version of the Doomsday Argument to estimate how long we will last (say, instead of the toy model you apply), and this is another famous way of doing outside-view forecasting.]
I doubt I can easily convince you that the prior I’ve chosen is objectively best, or even that it is better than the one you used. Prior-choice is a bit of an art, rather like choice of axioms. But I hope you see that it does show that the whole thing comes down to whether you choose a prior like you did, or another reasonable alternative. My prior gives a prior chance of HoH of about 5% or 2.5%, which is thousands of times more likely than yours, and can easily be bumped up by the available evidence to probabilities >10%. So your argument doesn’t do well on sensitivity analysis over prior-choice. Additionally, if you didn’t know which of these priors to use and used a mixture with mine weighted in to a non-trivial degree, this would also lead to a substantial prior probability of HoH. And this is only worse if instead of using a 1/n hyperbola like I did, you had arguments that it declined more quickly, like 1/n^2 or an exponential. So it only goes through if you are very solidly committed to a prior like the one you used.
Hi Toby,
Thanks so much for this very clear response, it was a very satisfying read, and there’s a lot for me to chew on. And thanks for locating the point of disagreement — prior to this post, I would have guessed that the biggest difference between me and some others was on the weight placed on the arguments for the Time of Perils and Value Lock-In views, rather than on the choice of prior. But it seems that that’s not true, and that’s very helpful to know. If so, it suggests (advertisement to the Forum!) that further work on prior-setting in EA contexts is very high-value.
I agree with you that under uncertainty over how to set the prior, because we’re clearly so distinctive in some particular ways (namely, that we’re so early on in civilisation, that the current population is so small, etc), my choice of prior will get washed out by models on which those distinctive features are important; I characterised these as outside-view arguments, but I’d understand if someone wanted to characterise that as prior-setting instead.
I also agree that there’s a strong case for making the prior over persons (or person-years) rather than centuries. In your discussion, you go via number of persons (or person-years) per century to the comparative importance of centuries. What I’d be inclined to do is just change the claim under consideration to: “I am among the (say) 100,000 most influential people ever”. This means we still take into account the fact that, though more populous centuries are more likely to be influential, they are also harder to influence in virtue of their larger population. If we frame the core claim in terms of being among the most influential people, rather than being at the most influential time, the core claim seems even more striking to me. (E.g. a uniform prior over the first 100 billion people would give a prior of 1 in 1 million of being in the 100,000 most influential people ever. Though of course, there would also be an extra outside-view argument for moving from this prior, which is that not many people are trying to influence the long-run future.)
However, I don’t currently feel attracted to your way of setting up the prior. In what follows I’ll just focus on the case of a values lock-in event, and for simplicity I’ll just use the standard Laplacean prior rather than your suggestion of a Jeffreys prior.
In significant part my lack of attraction is because the claims — that (i) there’s a point in time where almost everything about the fate of the universe gets decided; (ii) that point is basically now; (iii) almost no-one sees this apart from us (where ‘us’ is a very small fraction of the world) — seem extraordinary to me, and I feel I need extraordinary evidence in order to have high credence in them. My prior-setting discussion was one way of cashing out why these seem extraordinary. If there’s some way of setting priors such that claims (i)-(iii) aren’t so extraordinary after all, I feel like a rabbit is being pulled out of a hat.
Then I have some specific worries with the Laplacean approach (which I *think* would apply to the Jeffreys prior, too, but I'm yet to figure out what a Fischer information matrix is, so I don't totally back myself here).
But before I mention the worries, I'll note that it seems to me that you and I are currently talking about priors over different propositions. You seem to be considering the propositions, ‘there is a lock-in event this century’ or ‘there is an extinction event this century’; I’m considering the proposition ‘I am at the most influential time ever’ or ‘I am one of the most influential people ever.’ As is well-known, when it comes to using principle-of-indifference-esque reasoning, if you use that reasoning over a number of different propositions then you can end up with inconsistent probability assignments. So, at best, one should use such reasoning in a very restricted way.
The reason I like thinking about my proposition (‘are we at the most important time?’ or ‘are we one of the most influential people ever?’) for the restricted principle of indifference, is that:
(i) I know the frequency of occurrence of ‘most influential person’, for each possible total population of civilization (past, present and future). Namely, it occurs once out of the total population. So I can look at each possible population size for the future, look at my credence in each possible population occurring, and in each case know the frequency of being the most influential person (or, more naturally, in the 100,000 most influential people).
(ii) it’s the most relevant proposition for the question of what I should do. (e.g. Perhaps it’s likely that there’s a lock-in event, but we can’t do anything about it and future people could, so we should save for a later date.)
Anyway, the worries about Laplacean (and Jeffreys) prior.
First, the Laplacean prior seems to get the wrong answer for lots of similar predicates. Consider the claims: “I am the most beautiful person ever” or “I am the strongest person ever”, rather than “I am the most important person ever”. If we used the Laplacean prior in the way you suggest for these claims, the first person would assign 50% credence to being the strongest person ever, even if they knew that there was probably going to be billions of people to come. This doesn’t seem right to me.
Second, it also seems very sensitive to our choice of start date. If the proposition under question is, ‘there will be a lock-in event this century’, I’d get a very different prior depending on whether I chose to begin counting from: (i) the dawn of the information age; (ii) the beginning of the industrial revolution; (iii) the start of civilisation; (iv) the origin of homo sapiens; (v) the origin of the genus homo; (vi) the origin of mammals, etc.
Of course, the uniform prior has something similar, but I think it handles the issue gracefully. e.g. On priors, I should think it’s 1 in 5 million likely that I’m the funniest person in Scotland; 1 in 65 million that I’m the funniest person in Britain, 1 in 7.5 billion that I’m the funniest person in the world. Similarly, with whether I’m the most influential person in the post-industrial era, the post-agricultural era, etc.
Third, the Laplacean prior doesn’t add up to 1 across all people. For example, suppose you’re the first person and you know that there will be 3 people. Then, on the Laplacean prior, the total probability for being the most influential person ever is ½ + ½(⅓) + ½(⅔)(¼) = ¾. But I know that someone has to be the most influential person ever. This suggests the Laplacean prior is the wrong prior choice for the proposition I’m considering, whereas the simple frequency approach gets it right.
So even if one feels skeptical of the uniform prior, I think the Laplacean way of prior-setting isn't a better alternative. In general: I'm sympathetic to having a model where early people are more likely to be more influential, but a model which is uniform over orders of magnitude seems too extreme to me.
(As a final thought: Doesn’t this form of prior-setting also suffer from the problem of there being too many hypotheses? E.g. consider the propositions:
A - There will be a value lock-in event this century
B - There will be a lock-in of hedonistic utilitarian values this century
C - There will be a lock-in of preference utilitarian values this century
D - There will be a lock-in of Kantian values this century
E - There will be a lock-in of fascist values this century
On the Laplacean approach, these would all get the same probability assignment - which seems inconsistent. And then just by stacking priors over particular lock-in events, we can get a probability that it’s overwhelmingly likely that there’s some lock-in event this century. I’ve put this comment in parentheses, though, as I feel *even less* confident about my worry here than my other worries listed.)
Thanks for this very thorough reply. There are so many strands here that I can't really hope to do justice to them all, but I'll make a few observations.
1) There are two versions of my argument. The weak/vague one is that a uniform prior is wrong and the real prior should decay over time, such that you can't make your extreme claim from priors. The strong/precise one is that it should decay as 1/n^2 in line with a version of LLS. The latter is more meant as an illustration. It is my go-to default for things like this, but my main point here is the weaker one. It seems that you agree that it should decay, and that the main question now is whether it does so fast enough to make your prior-based points moot. I'm not quite sure how to resolve that. But I note that from this position, we can't reach either your argument that from priors this is way too unlikely for our evidence to overturn (and we also can't reach my statement of the opposite of that).
2) I wouldn't use the LLS prior for arbitrary superlative properties where you fix the total population. I'd use it only if the population over time was radically unknown (so that the first person is much more likely to be strongest than the thousandth, because there probably won't be a thousand) or where there is a strong time dependency such that it happening at one time rules out later times.
3) You are right that I am appealing to some structural properties beyond mere superlatives, such as extinction or other permanent lock-in. This is because these things happening in a century would be sufficient for that century to have a decent chance of being the most influential (technically this still depends on the influenceability of the event, but I think most people would grant that conditional on next century being the end of humanity, it is no longer surprising at all if this or next century were the most influential). So I think that your prior setting approach proves too much, telling us that there is almost no chance of extinction or permanent lock-in next century (and even after updating on evidence). This feels fishy. A bit like Bostrom's 'presumptuous philosopher' example. I think it looks even more fishy in your worked example where the prior is low precisely because of an assumption about how long we will last without extinction: especially as that assumption is compatible with, say, a 50% chance of extinction in the next century. (I don't think this is a knockdown blow here: but I'm trying to indicate the part of your argument I think would be most likely to fall and roughly why).
4) I agree there is an issue to do with too many hypotheses . And a related issue with what is the first timescale on which to apply a 1/2 chance of the event occurring. I think these can be dealt with together. You modify the raw LLS prior by some other kind of prior you have for each particular type of event (which you need to have since some are sub-events of others and rationality requires you to assign lower probability to them). You could operationalise this by asking over what time frame you'd expect a 1/2 chance of that event occurring. Then LLS isn't acting as an indifference principle, but rather just as a way of keeping track of how to update your ur prior in light of how many time periods have elapsed without the event occurring. I think this should work out somewhat similarly, just with a stretched PDF that still decays as 1/n^2, but am not sure. There may be a literature on this.
I appreciate your explicitly laying out issues with the Laplace prior! I found this helpful.
The approach to picking a prior here which I feel least uneasy about is something like: "take a simplicity-weighted average over different generating processes for distributions of hinginess over time". This gives a mixture with some weight on uniform (very simple), some weight on monotonically-increasing and monotonically-decreasing functions (also quite simple), some weight on single-peaked and single-troughed functions (disproportionately with the peak or trough close to one end), and so on…
If we assume a big future and you just told me the number of people in each generation, I think my prior might be something like 20% that the most hingey moment was in the past, 1% that it was in the next 10 centuries, and the rest after that. After I notice that hingeyness is about influence, and causality gives a time asymmetry favouring early times, I think I might update to >50% that it was in the past, and 2% that it would be in the next 10 centuries.
(I might start with some similar prior about when the strongest person lives, but then when I begin to understand something about strength the generating mechanisms which suggest that the strongest people would come early and everything would be diminishing thereafter seem very implausible, so I would update down a lot on that.)
I'm sympathetic to the mixture of simple priors approach and value simplicity a great deal. However, I don't think that the uniform prior up to an arbitrary end point is the simplest as your comment appears to suggest. e.g. I don't see how it is simpler than an exponential distribution with an arbitrary mean (which is the max entropy prior over R+ conditional on a finite mean). I'm not sure if there is a max entropy prior over R+ without the finite mean assumption, but 1/x^2 looks right to me for that.
Also, re having a distribution that increases over a fixed time interval giving a peak at the end, I agree that this kind of thing is simple, but note that since we are actually very uncertain over when that interval ends, that peak gets very smeared out. Enough so that I don't think there is a peak at the end at all when the distribution is denominated in years (rather than centiles through human history or something). That said, it could turn into a peak in the middle, depending on the nature of one's distribution over durations.
I think this point is even stronger, as your early sections suggest. If we treat the priors as hypotheses about the distribution of events in the world, then past data can provide evidence about which one is right, and (the principle of) Will's prior would have given excessively low credence to humanity's first million years being the million years when life traveled to the Moon, humanity becoming such a large share of biomass, the first 10,000 years of agriculture leading to the modern world, and so forth. So those data would give us extreme evidence for a less dogmatic prior being correct.
On the other hand, the kinds of priors Toby suggests would also typically give excessively low credence to these events taking so long. So the data doesn't seem to provide much active support for the proposed alternative either.
It also seems to me like different kinds of priors are probably warranted for predictions about when a given kind of event will happen for the first time (e.g. the first year in which someone is named Steve) and predictions about when a given property will achieve its maximum value (e.g. the year with the most Steves). It can therefore be consistent to expect the kinds of "firsts" you list to be relatively bunched up near the start of human history, while also expecting relevant "mosts" (such as the most hingey year) to be relatively spread out.
That being said, I find it intuitive that periods with lots of "firsts" should tend to be disproportionately hingey. I think this intuition could be used to construct a model in which early periods are especially likely to be hingey.
I don't think I agree with this, unless one is able to make a comparative claim about the importance (from a longtermist perspective) of these events relative to future events' importance - which is exactly what I'm questioning.
I do think that weighting earlier generations more heavily is correct, though; I don't feel that much turns on whether one construes this as prior choice or an update from one's prior.
A related outside-view argument for the HoH being more likely to occur in earlier centuries:
If we accept these premises, this justifies using a diminishing prior like Laplace.
Just a quick thought on this issue: Using Laplace's rule of succession (or any other similar prior) also requires picking a somewhat arbitrary start point. You suggest 200000BC as a start point, but one could of course pick earlier or later years and get out different numbers. So the uniform prior's sensitivity to decisions about how to truncate the relevant time interval isn't a special weakness; it doesn't seem to provide grounds for prefering the Laplacian prior.
I think that for some notion of an "arbitrary superlative," a uniform prior also makes a lot more intuitive sense than a Laplacian prior. The Laplacian prior would give very strange results, for example, if you tried to use it to estimate the hottest day on Earth, the year with the highest portion of Americans named Zach, or the year with the most supernovas.
I agree with this intuition, but I suppose see it as a reason to shift away from a uniform prior rather than to begin from something as lopsided as a Laplacian. I think that this intuition is also partially (but far from entirely) counterbalanced by the countervailing intuitions Will lists for expecting influence to increase over time.
Doesn't the uniform prior require picking an arbitrary start point and end point? If so, switching to a prior that only requires an arbitrary start point seems like an improvement, all else equal. (Though maybe still worth pointing out that all arbitrariness has not been eliminated, as you've done here.)
You are right that having a fuzzy starting point for when we started drawing from the urn causes problems for Laplace's Law of Succession, making it less appropriate without modification. However, note that in terms of people who have ever lived, there isn't that much variation as populations were so low for so long, compared to now.
I see your point re 'arbitrary superlatives', but am not sure it goes through technically. If I could choose a prior over the relative timescale of beginning to the final year of humanity, I would intuitively have peaks at both ends. But denominated in years, we don't know where the final year is and have a distribution over this that smears that second peak out over a long time. This often leaves us just with the initial peak and a monotonic decline (though not necessarily of the functional form of LLS). That said, this interacts with your first point, as the beginning of humanity is also vague, smearing that peak out somewhat too.
So your prior says, unlike Will’s, that there are non-trivial probabilities of very early lock-in. That seems plausible and important. But it seems to me that your analysis not only uses a different prior but also conditions on “we live extremely early” which I think is problematic.
Will argues that it’s very weird we seem to be at an extremely hingy time. So we should discount that possibility. You say that we’re living at an extremely early time and it’s not weird for early times to be hingy. I imagine Will’s response would be “it’s very weird we seem to be living at an extremely early time then” (and it’s doubly weird if it implies we live in an extremely hingy time).
If living at an early time implies something that is extremely unlikely a priori for a random person from the timeline, then there should be an explanation. These 3 explanations seem exhaustive:
1) We’re extremely lucky.
2) We aren’t actually early: E.g. we’re in a simulation or the future is short. (The latter doesn’t necessarily imply that xrisk work doesn’t have much impact because the future might just be short in terms of people in our anthropic reference class).
3) Early people don’t actually have outsized influence: E.g. the hazard/hinge rate in your model is low (perhaps 1/N where N is the length of the future). In a Bayesian graphical model, there should be a strong update in favor of low hinge rates after observing that we live very early (unless another explanation is likely a priori).
Both 2) and 3) seem somewhat plausible a priori so it seems we don’t need to assume that a big coincidence explains how early we live.
I don't think I'm building in any assumptions about living extremely early -- in fact I think it makes as little assumption on that as possible. The prior you get from LLS or from Gott's doomsday argument says the median number of people to follow us is as many as have lived so far (~100 billion), that we have an equal chance of being in any quantile, and so for example we only have a 1 in a million chance of living in the first millionth. (Though note that since each order of magnitude contributes an equal expected value and there are infinitely many orders of magnitude, the expected number of people is infinite / has no mean.)
If you're just presenting a prior I agree that you've not conditioned on an observation "we're very early". But to the extent that your reasoning says there's a non-trivial probability of [we have extremely high influence over a big future], you do condition on some observation of that kind. In fact, it would seem weird if any Copernican prior could give non-trivial mass to that proposition without an additional observation.
I continue my response here because the rest is more suitable as a higher-level comment.
What is a Copernican prior? I can't find any google results
It's just an informal way to say that we're probably typical observers. It's named after Copernicus because he found that the Earth isn't as special as people thought.
I don't know the history of the term or its relationship to Copernicus, but I can say how my forgotten source defined it. Suppose you want to ask, "How long will my car run?" Suppose it's a weird car that has a different engine and manufacturer than other cars, so those cars aren't much help. One place you could start is with how long it's currently be running for. This is based on the prior that you're observing it on average halfway through its life. If it's been running for 6 months so far, you would guess 1 year. There surely exists a more rigorous definition than this, but that's the gist.
Wikipedia gives the physicist's version, but EAs (and maybe philosophers?) use it more broadly.
https://en.wikipedia.org/wiki/Copernican_principle
The short summary I use to describe it is that "we" are not that special, for various definitions of the word we.
Some examples on FB.
>> And it gets even more so when you run it in terms of persons or person years (as I believe you should). i.e. measure time with a clock that ticks as each lifetime ends, rather than one that ticks each second. e.g. about 1/20th of all people who have ever lived are alive now, so the next century it is not really 1/2,000th of human history but more like 1/20th of it.
And if you use person-years, you get something like 1/7 - 1/14! [1]
>> I doubt I can easily convince you that the prior I’ve chosen is objectively best, or even that it is better than the one you used. Prior-choice is a bit of an art, rather like choice of axioms.
I'm pretty confused about how these dramatically different priors are formed, and would really appreciate it if somebody (maybe somebody less busy than Will or Toby?) could give pointers on how to read up more on forming these sort of priors. As you allude to, this question seems to map to anthropics, and I'm curious how much the priors here necessarily maps to your views on anthropics. Eg, am I reading the post and your comment correctly that Will takes an SIA view and you take an SSA view on anthropic questions?
In general, does anybody have pointers on how best to reason about anthropic and anthropic-adjacent questions?
[1] https://eukaryotewritesblog.com/2018/10/09/the-funnel-of-human-experience/
On your prior,
P(high influence) isn't tiny. But if I understand correctly, that's just because
P(high influence | short future) isn't tiny whereas
P(high influence | long future) is still tiny. (I haven't checked the math, correct me if I'm wrong).
So your argument doesn't seems to save existential risk work. The only way to get a non-trivial P(high influence | long future) with your prior seems to be by conditioning on an additional observation "we're extremely early". As I argued here, that's somewhat sketchy to do.
I don't have time to get into all the details, but I think that while your intuition is reasonable (I used to share it) the maths does actually turn out my way. At least on one interpretation of what you mean. I looked into this when wondering if the doomsday argument suggested that the EV of the future must be small. Try writing out the algebra for a Gott style prior that there is an x% chance we are in the first x%, for all x. You get a Pareto distribution that is a power law with infinite mean. While there is very little chance on this prior that there is a big future ahead, the size of each possible future compensates for that, such that each order of magnitude of increasing size of the future contributes an equal expected amount of population to the future, such that the sum is infinite.
I'm not quite sure what to make of this, and it may be quite brittle (e.g. if we were somehow certain that there weren't more than 10^100 people in the future, the expected population wouldn't be all that high), but as a raw prior I really think it is both an extreme outside view, saying we are equally likely to live at any relative position in the sequence *and* that there is extremely high (infinite) EV in the future -- not because it thinks there is any single future whose EV is high, but because the series diverges.
This isn't quite the same as your claim (about influence), but does seem to 'save existential risk work' from this challenge based on priors (I don't actually think it needed saving, but that is another story).
Interesting point!
The diverging series seems to be a version of the St Petersburg paradox, which has fooled me before. In the original version, you have a 2^-k chance of winning 2^k for every positive integer k, which leads to infinite expected payoff. One way in which it's brittle is that, as you say, the payoff is quite limited if we have some upper bound on the size of the population. Two other mathematical ways are 1) if the payoff is just 1.99^k or 2) if it is 2^0.99k.
On second thoughts, I think it's worth clarifying that my claim is still true even though yours is important in its own right. On Gott's reasoning, P(high influence | world has 2^N times the # of people who've already lived) is still just 2^-N (that's 2^-(N-1) if summed over all k>=N). As you said, these tiny probabilities are balanced out by asymptotically infinite impact.
I'll write up a separate objection to that claim but first a clarifying question: Why do you call Gott's conditional probability a prior? Isn't it more of a likelihood? In my model it should be combined with a prior P(number of people the world has). The resulting posterior is then the prior for further enquiries.
As you wrote, the future being short "doesn’t necessarily imply that xrisk work doesn’t have much impact because the future might just be short in terms of people in our anthropic reference class".
Another thought that comes to mind is that there may exist many evolved civilizations that their behavior is correlated with our behavior. If so, us deciding to work hard on reducing x-risks means it's more likely that those other civilizations would also decide—during early centuries—to work hard on reducing x-risks.
Under Toby's prior, what is the prior probability that the most influential century ever is in the past?
Quite high. If you think it hasn't happened yet, then this is a problem for my prior that Will's doesn't have.
More precisely, the argument I sketched gives a prior whose PDF decays roughly as 1/n^2 (which corresponds to the chance of it first happening in the next period after n absences decaying as ~1/n). You might be able to get some tweaks to this such that it is less likely than not to happen by now, but I think the cleanest versions predict it would have happened by now. The clean version of Laplace's Law of Succession, measured in centuries, says there would only be a 1/2,001 chance it hadn't happened before now, which reflects poorly on the prior, but I don't think it quite serves to rule it out. If you don't know whether it has happened yet (e.g. you are unsure of things like Will's Axial Age argument), this would give some extra weight to that possibility.
Given this, if one had a hyperprior over different possible Beta distributions, shouldn't 2000 centuries of no event occurring cause one to update quite hard against the (0.5, 0.5) or (1, 1) hyperparameters, and in favour of a prior that was massively skewed towards the per-century probability of no-lock-in-event being very low?
(And noting that, depending exactly on how the proposition is specified, I think we can be very confident that it hasn't happened yet. E.g. if the proposition under consideration was 'a values lock-in event occurs such that everyone after this point has the same values'.)
That's interesting. Earlier I suggested that a mixture of different priors that included some like mine would give a result very different to your result. But you are right to say that we can interpret this in two ways: as a mixture of ur priors or as a mixture of priors we get after updating on the length of time so far. I was implicitly assuming the latter, but maybe the former is better and it would indeed lessen or eliminate the effect I mentioned.
Your suggestion is also interesting as a general approach, choosing a distribution over these Beta distributions instead of debating between certainty in (0,0), (0.5, 0.5), and (1,1). For some distributions over Beta parameters these the maths is probably quite tractable. That might be an answer to the right meta-rational approach rather than an answer to the right rational approach, or something, but it does seem nicely robust.
I don't understand this. Your last comment suggests that there may be several key events (some of which may be in the past), but I read your top-level comment as assuming that there is only one, which precludes all future key events (i.e. something like lock-in or extinction). I would have interpreted your initial post as follows:
Suppose we observe 20 past centuries during which no key event happens. By Laplace's Law of Succession, we now think that the odds are 1/22 in each century. So you could say that the odds that a key event "would have occurred" over the course of 20 centuries is 1 - (1-1/22)^20 = 60.6%. However, we just said that we observed no key event, and that's what our "hazard rate" is based on, so it is moot to ask what could have been. The probability is 0.
This seems off, and I think the problem is equating "no key event" with "not hingy", which is too simple because one can potentially also influence key events in the distant future. (Or perhaps there aren't even any key events, or there are other ways to have a lasting impact.)
I know this is an old thread, and I'm not totally sure how this affects the debate here, but for what it's worth I think applying principle of indifference-type reasoning here implies that the appropriate uninformative prior is an exponential distribution.
I apply the principle of indifference (or maybe of invariance, following Jaynes (1968)) as follows: If I wake up tomorrow knowing absolutely nothing about the world and am asked about the probability of 10 days into the future containing the most important time in history conditional on it being in the future, I should give the same answer as if I were to be woken up 100 years from now and were asked about the day 100 years and 10 days from now. I would need some further information (e.g. about the state of the world, of human society, etc.) to say why one would be more probable than the other, and here I'm looking for a prior from a state of total ignorance.
This invariance can be generalized as: Pr(X>t+k|X>t) = Pr(X>t'+k|X>t') for all k, t, t'. This happens to be the memoryless property, and the exponential distribution is the only continuous distribution that has this property. Thus if we think that our priors from a state of total ignorance should satisfy this requirement, our prior needs to be an exponential distribution. I imagine there are other ways of characterizing similar indifference requirements that imply memorylessness.
This is not to say our current beliefs should follow this distribution: we have additional information about the world, and we should update on this information. It’s also possible that the principle of indifference might be applied in a different way to give a different uninformative prior as in the Bertrand paradox.
(The Jaynes paper: https://bayes.wustl.edu/etj/articles/prior.pdf)
The following is yet another perspective on which prior to use, which questions whether we should assume some kind of uniformity principle:
As has been discussed in other comments and the initial text, there are some reasons to expect later times to be hingier (e.g. better knowledge) and there are some reasons to expect earlier times to be hingier (e.g. because of smaller populations). It is plausible that these reasons skew one way or another, and this effect might outweigh other sources of variance in hinginess.
That means that the hingiest times are disproportionately likely to be either a) the earliest generation (e.g. humans in pre-historic population bottlenecks) or b) the last generation (i.e. the time just before some lock-in happens). Our time is very unlikely to be the hingiest in this perspective (unless you think that lock-in happens very soon). So this suggests a low prior for HoH; however, what matters is arguably comparing present hinginess to the future, rather than to the past. And in this perspective it would be not-very-unlikely that our time is hingier than all future times.
In other words, rather than there being anything special about our time, it could just the case that a) hinginess generally decreases over time and b) this effect is stronger than other sources of variance in hinginess. I'm fairly agnostic about both of these claims, and Will argued against a), but it's surely likelier than 1 in 100000 (in the absense of further evidence), and arguably likelier even than 5%. (This isn't exactly HoH because past times would be even hingier.)
At least in Will's model, we are among the earliest human generations, so I don't think this argument holds very much, unless you posit a very fast diminishing prior (which so far nobody has done).