From AI to distant probes

The aim of this post is to present a hypothetical future scenario that challenges some of our basic assumptions and intuitions about our place in the cosmos.


Hypothetical future scenario: Earth-descendant probes

Imagine a future scenario in which AI progress continues, and where the ruling powers on Earth eventually send out advanced AI-driven probes to explore other star systems. The ultimate motives of these future Earth rulers may be mysterious and difficult to grasp from our current vantage point, yet we can nevertheless understand that their motives — in this hypothetical scenario — include the exploration of life forms that might have emerged or will emerge elsewhere in the universe. (The fact that there are already projects aimed at sending out (much less advanced) probes to other star systems is arguably some evidence of the plausibility of this future scenario.)

Such exploration may be considered important by these future Earth rulers for a number of reasons, but a prominent reason they consider it important is that it helps inform their broader strategy for the long-term future. By studying the frequency and character of nascent life elsewhere, they can build a better picture of the long-run future of life in the universe. This includes gaining a better picture of where and when these Earth descendants might eventually encounter other species — or probes — that are as advanced as themselves, and not least what these other advanced species might be like in terms of their motives and their propensities toward conflict or cooperation.

The Earth-descendant probes will take an especially strong interest in life forms that are relatively close to matching their own, functionally optimized level of technological development. Why? First of all, they wish to ensure that the ascending civilizations do not come to match their own level of technological sophistication, which the Earth-descendant probes will eventually take steps to prevent so as to not lose their power and influence over the future. Second, they will study ascending civilizations because what takes place at that late “sub-optimized” stage may be particularly informative for estimating the nature of the fully optimized civilizations that the Earth-descendant probes might encounter in the future (at least the late sub-optimized stage of development seems more informative than does earlier stages of life where comparatively less change happens over time).

From the point of view of these distant life forms, the Earth-descendant probes are almost never visible, and when they occasionally are, they appear altogether mysterious. After all, the probes represent a highly advanced form of technology that the distant life forms do not yet understand, much less master, and the potential motives behind the study protocols of these rarely appearing probes are likewise difficult to make sense of from the outside. Thus, the distant life forms are being studied by the Earth-descendant probes without having any clear sense of their zoo-like condition.

Back to Earth

Now, what is the point of this hypothetical scenario? One point I wish to make is that this is not an absurd or unthinkable scenario. There are, I submit, no fantastical or unbelievable steps involved here, and we can hardly rule out that some version of this scenario could play out in the future. This is obviously not to say that it is the most likely future scenario, but merely that something like this scenario seems fairly plausible provided that technological development continues and eventually expands into space (perhaps around 1 percent likely?).

But what if we now make just one (theoretically) small change to this scenario such that Earth is no longer the origin of the advanced probes in question, but instead one of the perhaps many planets that are being visited and studied by advanced probes that originated elsewhere in the universe? Essentially, we are changing nothing in the scenario above, except for swapping which exact planet Earth happens to be.

Given the structural equivalence of these respective scenarios, we should hardly consider the swapped scenario to be much less plausible. Sure, we know for a fact that life has arisen on Earth, and hence the projection that Earth-originating life might eventually give rise to advanced probes is not entirely speculative. Yet there is a countervailing consideration that suggests that — conditional on a scenario equivalent to the one described above occurring — Earth is unlikely to be the first planet to give rise to advanced space probes, and is instead more likely to be observed by probes from elsewhere. 

The reason is simply that Earth is but one planet, whereas there are many other planets from which probes could have been sent to study Earth. For example, in a scenario in which a single civilization creates advanced probes that eventually go out and explore, say, a thousand other planets with life at roughly our stage of development (observed at different points in time), we would have a 1 in 1,001 chance of being that first, exploring civilization — and a 1000 in 1,001 chance of being an observed one, under this assumed scenario. Likewise, even if the exploring civilization in this kind of scenario only ever visits, say, two other planets with life at roughly our stage, we would still be more likely to be among the observed ones than the first one (2 in 3 versus 1 in 3). Thus, whatever probability we assign to the hypothetical future scenario in which Earth-descendant space probes observe other life forms at roughly our stage, we should arguably assign a greater probability to a scenario in which we are being observed by similar such probes.

Nevertheless, I think many of us will intuitively think just the opposite, namely that the scenario involving Earth-descendant probes observing others seems far more plausible than the scenario in which we are currently being observed by foreign probes. Indeed, many of us intuitively find the foreign-probes scenario to be quite ridiculous. (That is also largely the attitude that is expressed in leading scholarly books on the Fermi paradox, with scant justification.)

Yet this complete dismissal is difficult to square with the apparent plausibility — or at least the non-ridiculousness — of the “Earth-descendant probes observing others” scenario, as well as the seemingly greater plausibility of the foreign probe scenario compared to the “Earth-descendant probes observing others” scenario. There appears to be a breakdown of the transitivity of plausibility and ridiculousness at the level of our intuitions.

What explains this inconsistency?

I can only speculate on what explains this apparent inconsistency, but I suspect that various biases and cultural factors are part of the explanation.

For example, wishful thinking could well play a role: we may better like a scenario in which Earth’s descendants will be the most advanced species in the universe, compared to a scenario in which we are a relatively primitive and feeble party without any unique influence over the future. This could in turn cause us to ignore or downplay any considerations that speak against our preferred beliefs. And, of course, apart from our relative feebleness, being observed by an apparently indifferent superpower that does not intervene to prevent even the most gratuitous suffering would seem like bad news as well.

Perhaps more significantly, there is the force of cultural sentiment and social stigma. Most of us have grown up in a culture that openly ridicules the idea of an extraterrestrial presence around Earth. Taking that idea seriously has effectively been just another way of saying that you are a dumb-dumb (or worse), and few of us want to be seen in that way. For the human mind, that is a pressure so strong that it can move continents, and even block mere open-mindedness.

Given the unreasonable effectiveness of such cultural forces in schooling our intuitions, many of us intuitively “just know” in our bones that the idea of an extraterrestrial presence around Earth is ridiculous, with little need to invoke actual cogent reasons.

To be clear, my point here is not that we should positively believe in such a foreign presence, but merely that we may need to revise our intuitive assessment of this possibility, or at least question whether our intuitions and our level of open-mindedness toward this possibility are truly well-grounded.

What might we infer about optimized futures?

It is plausible to assume that technology will keep on advancing along various dimensions until it hits fundamental physical limits. We may refer to futures that involve such maxed-out technological development as “optimized futures”.

My aim in this post is to explore what we might be able to infer about optimized futures. Most of all, my aim is to advance this as an important question that is worth exploring further.


Contents

  1. Optimized futures: End-state technologies in key domains
  2. Why optimized futures are plausible
  3. Why optimized futures are worth exploring
  4. What can we say about optimized futures?
    1. Humanity may be close to (at least some) end-state technologies
    2. Optimized civilizations may be highly interested in near-optimized civilizations
    3. Strong technological convergence across civilizations?
    4. If technology stabilizes at an optimum, what might change?
    5. Information that says something about other optimized civilizations as an extremely coveted resource?
  5. Practical implications?
    1. Prioritizing values and institutions rather than pushing for technological progress?
    2. More research
  6. Conclusion
  7. Acknowledgments

Optimized futures: End-state technologies in key domains

The defining feature of optimized futures is that they entail end-state technologies that cannot be further improved in various key domains. Some examples of these domains include computing power, data storage, speed of travel, maneuverability, materials technology, precision manufacturing, and so on.

Of course, there may be significant tradeoffs between optimization across these respective domains. Likewise, there could be forms of “ultimate optimization” that are only feasible at an impractical cost — say, at extreme energy levels. Yet these complications are not crucial in this context. What I mean by “optimized futures” are futures that involve practically optimal technologies within key domains (such as those listed above).

Why optimized futures are plausible

There are both theoretical and empirical reasons to think that optimized futures are plausible (by which I mean that they are at least somewhat probable — perhaps more than 5 percent likely). Theoretically, if the future contains advanced goal-driven agents, we should generally expect those agents to want to achieve their goals in the most efficient ways possible. This in turn predicts continual progress toward ever more efficient technologies, at least as long as such progress is cost-effective.

Empirically, we have an extensive record of goal-oriented agents trying to improve their technology so as to better achieve their aims. Humanity has gone from having virtually no technology to creating a modern society surrounded by advanced technologies of various kinds. And even in our modern age of advanced technology, we still observe persistent incentives and trends toward further improvements in many domains of technology — toward better computers, robots, energy technology, and so on.

It is worth noting that the technological progress we have observed throughout human history has generally not been the product of some overarching collective scheme that was deliberately or directly aimed at technological progress. Instead, technological progress has in some sense been more robust than that, since even in the absence of any overarching scheme, progress has happened as the result of ordinary demands and desires — for faster computers, faster and safer transportation, cheaper energy, etc.

This robustness is a further reason to think that optimized futures are plausible: even without any overarching plan aimed toward such a future, and even without any individual human necessarily wanting continued technological development leading to an optimized future, we might still be pulled in that direction all the same. And, of course, this point about plausibility applies to more than just humans: it applies to any set of agents who will be — or have been — structuring themselves in a sufficiently similar way so as to allow their everyday demands to push them toward continued technological development.

An objection to the plausibility of optimized futures is that there might be hidden potential for progress far beyond what our current understanding of physics seems to allow. However, such hidden potential would presumably be discovered eventually, and it seems likely that such hidden potential itself would likewise be exhausted at some point, even if it may happen later and at more extreme limits than we currently envision. That is, the broad claim that there will ultimately be some fundamental limits to technological development is not predicated on the more narrow claim that our current understanding of those limits is necessarily correct; the broader claim is robust to quite substantial extensions of currently envisioned limits. Additionally, the claim that there will be no fundamental limits to future technological development overall seems a stronger and less empirically grounded claim than does the claim that there will be such limits (cf. Lloyd, 2000; Krauss & Starkman, 2004).

Why optimized futures are worth exploring

The plausibility of optimized futures is one reason to explore them further, and arguably a sufficient reason in itself. Another reason is the scope of such futures: the futures that contain the largest numbers of sentient beings will most likely be optimized futures, suggesting that we have good reason to pay disproportionate attention to such futures, beyond what their degree of plausibility might suggest.

Optimized futures are also worth exploring given that they seem to be a likely point of convergence for many different kinds of technological civilizations. For example, an optimized future seems a plausible outcome of both human-controlled and AI-controlled Earth-originating civilizations, and it likewise seems a plausible outcome of advanced alien civilizations. Thus, a better understanding of optimized futures can potentially apply robustly to many different kinds of future scenarios.

An additional reason it is worth exploring optimized futures is that they overall seem quite neglected, especially given how plausible and consequential such futures appear to be. While some efforts have been made to clarify the physical limits of technology (see e.g. Sandberg, 1999; Lloyd, 2000; Krauss & Starkman, 2004), these have generally said little about the likely trajectories and motives of civilizations with optimized technology.

Lastly, the assumption of optimized technology is a rather strong constraint that might enable us to say quite a lot about futures that conform to that assumption, suggesting that this could be a fruitful perspective to adopt in our attempts to think about and predict the future.

What can we say about optimized futures?

The question of what we can say about optimized futures is a big one that deserves elaborate analysis. In this section, I will merely raise some preliminary points and speculative reflections.

Humanity may be close to (at least some) end-state technologies

One point that is worth highlighting is that a continuation of current rates of progress would seem to imply that humanity could develop end-state technologies in information processing power within a few hundred years, perhaps 250 years at most (if current growth rates persist and assuming that our current understanding of the relevant physics is largely correct).

So at least in this important respect, and under the assumption of continued steady growth, humanity is surprisingly close to reaching an optimized future (cf. Lloyd, 2000).

Optimized civilizations may be highly interested in near-optimized civilizations

Such potential closeness to an optimized future could have significant implications in various ways. For example, if, hypothetically, there exists an older civilization that has already reached a state of optimized technology, any younger civilization that begins to approach optimized technologies would likely be of great interest to that older civilization.

First, it might be of interest because the optimized technologies of the younger civilization could potentially become competitive with the optimized technologies of the older civilization, and hence the older civilization might see a looming threat in the younger civilization’s advance toward optimized technologies.

Second, the younger civilization might be of interest because its evolutionary trajectory could provide valuable information regarding the likely trajectories and goals of far-away civilizations with optimized technology that the older civilization may encounter in the future. (More on this point here.)

Taken together, these considerations suggest that if a given civilization is approaching optimized technology, and if there is an older civilization with optimized technology in its vicinity, this older civilization should take an increasing interest in this younger civilization so as to learn about it before the older civilization might have to permanently halt the development of the younger one.

Strong technological convergence across civilizations?

Another implication of optimized futures is that the technology of advanced civilizations across the universe might be remarkably convergent. Indeed, there are already many examples of convergent evolution in biology on Earth (e.g. large brains evolving several times independently), as well as in cultural evolution in both early history (e.g. the independent emergence of farming, cities, and writing across the globe) and recent history (e.g. independent discoveries in science and mathematics).

Yet the degree of convergence could well be even more pronounced in the case of the end-state technologies of advanced civilizations. After all, this is a case where highly advanced agents are bumping up against the same fundamental constraints, and the optimal engineering solutions in the face of these constraints will likely converge toward the same relatively narrow space of optimal designs — or at least toward the same narrow frontier of optimal designs given potential tradeoffs between different abilities.

In other words, the technologies of advanced civilizations might be far more similar and more firmly dictated by fundamental physical limits than we intuitively expect, especially given that we in our current world are used to continually changing and improving technologies.

If technology stabilizes at an optimum, what might change?

The plausible convergence and stabilization of technological hardware also raises the interesting question of what, if anything, might change and vary in optimized futures.

This question can be understood in at least two distinct ways: what might change or vary across different optimized civilizations, and what might change over time within such civilizations? And note that change of the one kind need not imply change of the other. For example, it is conceivable that there might be great variation across civilizations, yet virtually no change in goals and values over time within civilizations (cf. “lock-in scenarios”).

Conversely, it is conceivable that goals and values change greatly over time within all optimized civilizations, yet such change could in principle still be convergent across civilizations, such that optimized civilizations tend to undergo roughly the same pattern of changes over time (though such convergence admittedly seems unlikely conditional on there being great changes over time in all optimized civilizations).

If we assume that technological hardware becomes roughly fixed, what might still change and vary — both over time and across different civilizations — includes the following (I am not claiming that this is an exhaustive list):

  • Space expansion: Civilization might expand into space so as to acquire more resources; and civilizations may differ greatly in terms of how much space they manage to acquire.
  • More or different info: Knowledge may improve or differ over time and space; even if fundamental physics gets solved fairly quickly, there could still be knowledge to gain about, for example, how other civilizations tend to develop.
    • There would presumably also be optimization for useful and actionable information. After all, even a technologically optimized probe would still have limited memory, and hence there would be a need to fill this memory with the most relevant information given its tasks and storage capacity.
  • Different algorithms: The way in which information is structured, distributed, and processed might evolve and vary over time and across civilizations (though it is also conceivable that algorithms will ultimately converge toward a relatively narrow space of optima as well).
  • Different goals and values: As mentioned above, goals and values might change and vary, such as due to internal or external competition, or (perhaps less likely) through processes of reflection.

In other words, even if everyone has — or is — practically the same “iPhone End-State”, what is running on these iPhone End-States, and how many of them there are, may still vary greatly, both across civilizations and over time. And these distinct dimensions of variation could well become the main focus of optimized civilizations, plausibly becoming the main dimensions on which civilizations seek to develop and compete.

Note also that there may be conflicts between improvements along these respective dimensions. For example, perhaps the most aggressive forms of space expansion could undermine the goal of gaining useful information about how other civilizations tend to develop, and hence advanced civilizations might avoid or delay aggressive expansion if the information in question would be sufficiently valuable (cf. the “info gain motive”). Or perhaps aggressive expansion would pose serious risks at the level of a civilization’s internal coordination and control, thereby risking a drift in goals and values.

In general, it seems worth trying to understand what might be the most coveted resources and the most prioritized domains of development for civilizations with optimized technology. 

Information that says something about other optimized civilizations as an extremely coveted resource?

As hinted above, one of the key objectives of a civilization with optimized technology might be to learn, directly or indirectly, about other civilizations that it could encounter in the future. After all, if a civilization manages to both gain control of optimized technology and avoid destructive internal conflicts, the greatest threat to its apex status over time will likely be other civilizations with optimized technology. More generally, the main determinant of an optimized civilization’s success in achieving its goals — whether it can maintain an unrivaled apex status or not — could well be its ability to predict and interact gainfully with other optimized civilizations.

In other words, this could be the most precious resource for any civilization with optimized technology, namely information that can prepare this civilization for better exchanges with other optimized agents, whether those exchanges end up being cooperative, competitive, or outright aggressive. But again, I should stress that I mention this as a speculative conjecture that seems worth exploring, not as a confident prediction.

Practical implications?

In this section, I will briefly speculate on the implications of the prospect of optimized futures. Specifically, what might this prospect imply in terms of how we can best influence the future?

Prioritizing values and institutions rather than pushing for technological progress?

One implication is that there may be limited long-term value in pushing for better technology per se, and that it might make more sense to prioritize the improvement of other factors, such as values and institutions. That is, if the future is in any case likely to be headed toward some technological optimum, and if the values and institutions (etc.) that will run this optimal technology are more contingent and “up for grabs”, then it arguably makes sense to prioritize those more contingent aspects.

To be clear, this is not to say that values and institutions will not also be subject to significant optimization pressures that push them in certain directions, but these pressures will plausibly still be weaker by comparison. After all, a wide range of values will imply a convergent incentive to create optimized technology, yet optimized technology, in contrast, seems compatible with a wide range of values and institutions. And it is not clear that there is a similarly strong pull toward some “optimized” set of values or institutions given optimized technology.

This perspective is arguably also supported by recent history. For example, we have seen technology improve greatly, with computing power heading in a clear upward direction over the past decades. Yet if we look at our values and institutions, it is much less clear whether they have moved in any particular direction over time, let alone an upward direction. Our values and institutions seem to have faced much less of a directional pressure compared to our technology.

More research

Perhaps one of the best things we can do to make better decisions with respect to optimized futures is to do research on such futures. In particular, it seems that there are many questions that can help inform our decisions in this regard. These questions include the following:

  • What are the likely features and trajectories of optimized futures?
    • Are optimized futures likely to involve conflicts between different optimized civilizations?
    • Other things being equal, is a smaller or larger number of optimized civilizations generally better for reducing risks of large-scale conflicts?
    • More broadly, is a smaller or larger number of optimized civilizations better for reducing future suffering?
  • What might the likely features and trajectories of optimized futures imply in terms of how we can best influence the future?
  • Are there some values or cooperation mechanisms that would be particularly beneficial to instill in optimized technology?
    • If so, what might they be, and how can we best work to ensure their (eventual) implementation?

Conclusion

The future might in some ways be more predictable than we imagine. I am not claiming to have drawn any clear or significant conclusions about how optimized futures are likely to unfold; I have mostly aired various conjectures. But I do think the question is valuable, and that it may provide a helpful lens for exploring how we can best impact the future.

Acknowledgments

Thanks to Tobias Baumann for helpful comments.

Reasons to doubt that suffering is ontologically prevalent

It is sometimes claimed that we cannot know whether suffering is ontologically prevalent — for example, we cannot rule out that suffering might exist in microorganisms such as bacteria, or even in the simplest physical processes. Relatedly, it has been argued that we cannot trust common-sense views and intuitions regarding the physical basis of suffering.

I agree with the spirit of these arguments, in that I think it is true that we cannot definitively rule out that suffering might exist in bacteria or fundamental physics, and I agree that we have good reasons to doubt common-sense intuitions about the nature of suffering. Nevertheless, I think discussions of expansive views of the ontological prevalence of suffering often present a somewhat unbalanced and, in my view, overly agnostic view of the physical basis of suffering. (By “expansive views”, I do not refer to views that hold that, say, insects are sentient, but rather views that hold that suffering exists in considerably simpler systems, such as in bacteria or fundamental physics.)

While we cannot definitively rule out that suffering might be ontologically prevalent, I do think that we have strong reasons to doubt it, as well as to doubt the practical importance of this possibility. My goal in this post is to present some of these reasons.


Contents

  1. Counterexamples: People who do not experience pain or suffering
  2. Our emerging understanding of pain and suffering
  3. Practical relevance

Counterexamples: People who do not experience pain or suffering

One argument against the notion that suffering is ontologically prevalent is that we seem to have counterexamples in people who do not experience pain or suffering. For example, various genetic conditions seemingly lead to a complete absence of pain and/or suffering. This, I submit, has significant implications for our views of the ontological prevalence (or non-prevalence) of suffering.

After all, the brains of these individuals include countless subatomic particles, basic biological processes, diverse instances of information processing, and so on, suggesting that none of these are in themselves sufficient to generate pain or suffering.

One might object that the brains of such people could be experiencing suffering — perhaps even intense suffering — that these people are just not able to consciously access. Yet even if we were to grant this claim, it does not change the basic argument that generic processes at the level of subatomic particles, basic biology, etc. do not seem sufficient to create suffering. For the processes that these people do consciously access presumably still entail at least some (indeed probably countless) subatomic particles, basic biological processes, electrochemical signals, different types of biological cells, diverse instances of information processing, and so on. This gives us reason to doubt all views that see suffering as an inherent or generic feature of processes at any of these (quite many) respective levels.

Of course, this argument is not limited to people who are congenitally unable to experience suffering; it applies to anyone who is just momentarily free from noticeable — let alone significant — pain or suffering. Any experiential moment that is free from significant suffering is meaningful evidence against highly expansive views of the ontological prevalence of significant suffering.

Our emerging understanding of pain and suffering

Another argument against expansive views of the prevalence of suffering is that our modern understanding of the biology of suffering gives us reason to doubt such views. That is, we have gained an increasingly refined understanding of the evolutionary, genetic, and neurobiological bases of pain and suffering, and the picture that emerges is that suffering is a complex phenomenon associated with specific genes and neural structures (as exemplified by the above-mentioned genetic conditions that knock out pain and/or suffering).

To be sure, the fact that suffering is associated with specific genes and neural structures in animals does not imply that suffering cannot be created in other ways in other systems. It does, however, suggest that suffering is unlikely to be found in simple systems that do not have remote analogues of these specific structures (since we otherwise should expect suffering to be associated with a much wider range structures and processes, not such an intricate and narrowly delineated set).

By analogy, consider the experience of wanting to go to a Taylor Swift concert so as to share the event with your Instagram followers. Do we have reason to believe that fundamental particles such as electrons, or microorganisms such as bacteria, might have such experiences? To go a step further, do we have reason to be agnostic as to whether electrons or bacteria might have such experiences?

These questions may seem too silly to merit contemplation. After all, we know that having a conscious desire to go to a concert for the purpose of online sharing requires rather advanced cognitive abilities that, at least in our case, are associated with extremely complex structures in the brain — not to mention that it requires an understanding of a larger cultural context that is far removed from the everyday concerns of electrons and bacteria. But the question is why we would see the case of suffering as being so different.

Of course, one might object that this is a bad analogy, since the experience described above is far more narrowly specified than is suffering as a general class of experience. I would agree that the experience described above is far more specific and unusual, but I still think the basic point of the analogy holds, in that our understanding is that suffering likewise rests on rather complex and specific structures (when it occurs in animal brains) — we might just not intuitively appreciate how complex and distinctive these structures are in the case of suffering, as opposed to in the Swift experience.

It seems inconsistent to allow ourselves to apply our deeper understanding of the Swift experience to strongly downgrade our credence in electron- or bacteria-level Swift experiences, while not allowing our deeper understanding of pain and suffering to strongly downgrade our credence in electron- or bacteria-level pain and suffering, even if the latter downgrade should be comparatively weaker (given the lower level of specificity of this broader class of experiences).

Practical relevance

It is worth stressing that, in the context of our priorities, the question is not whether we can rule out suffering in simple systems like electrons or bacteria. Rather, the question is whether the all-things-considered probability and weight of such hypothetical suffering is sufficiently large for it to merit any meaningful priority relative to other forms of suffering.

For example, one may hold a lexical view according to which no amount of putative “micro-discomfort” that we might ascribe to electrons or bacteria can ever be collectively worse than a single instance of extreme suffering. Likewise, even if one does not hold a strictly lexical view in theory, one might still hold that the probability of suffering in simple systems is so low that, relative to the expected prevalence of other kinds of suffering, it is so strongly dominated so as to merit practically no priority by comparison (cf. “Lexical priority to extreme suffering — in practice”).

After all, the risk of suffering in simple systems would not only have to be held up against the suffering of all currently existing animals on Earth, but also against the risk of worst-case outcomes that involve astronomical numbers of overtly tormented beings. In this broader perspective, it seems reasonable to believe that the risk of suffering in simple systems is massively dwarfed by the risk of such astronomical worst-case outcomes, partly because the latter risk seems considerably less speculative, and because it seems far more likely to involve the worst instances of suffering.

Relatedly, just as we should be open to considering the possibility of suffering in simple systems such as bacteria, it seems that we should also be open to the possibility that spending a lot of time contemplating this issue — and not least trying to raise concern for it — might be an enormous opportunity cost that will overall increase extreme suffering in the future (e.g. because it distracts people from more important issues, or because it pushes people toward dismissing suffering reducers as absurd or crazy).

To be clear, I am not saying that contemplating this issue in fact is such an opportunity cost. My point is simply that it is important not to treat highly speculative possibilities in a manner that is too one-sided, such that we make one speculative possibility disproportionately salient (e.g. there might be a lot of suffering in microorganisms or in fundamental physics), while neglecting to consider other speculative possibilities that may in some sense “balance out” the former (e.g. that prioritizing the risk of suffering in simple systems significantly increases extreme suffering).

In more general terms, it can be misleading to consider Pascallian wagers if we do not also consider their respective “counter-Pascallian” wagers. For example, what if believing in God actually overall increases the probability of you experiencing eternal suffering, such as by marginally increasing the probability that future people will create infinite universes that contain infinitely many versions of you that get tortured for life?

In this way, our view of Pascal’s wager may change drastically when we go beyond its original one-sided framing and consider a broader range of possibilities, and the same applies to Pascallian wagers relating to the purported suffering of simple entities like bacteria or electrons. When we consider a broader range of speculative hypotheses, it is hardly clear whether we should overall give more or less consideration to such simple entities than we currently do, at least when compared to how much consideration and priority we give to other forms of suffering.

Does digital or “traditional” sentience dominate in expectation?

My aim in this post is to critique two opposite positions that I think are both mistaken, or which at least tend to be endorsed with too much confidence.

The first position is that the vast majority of future sentient beings will, in expectation, be digital, meaning that they will be “implemented” in digital computers.

The second position is in some sense a rejection of the first one. Based on a skepticism of the possibility of digital sentience, this position holds that future sentience will not be artificial, but instead be “traditionally” biological — that is, most future sentient beings will, in expectation, be biological beings roughly as we know them today.

I think the main problem with this dichotomy of positions is that it leaves out a reasonable third option, which is that most future beings will be artificial but not necessarily digital.


Contents

  1. Reasons to doubt that digital sentience dominates in expectation
  2. Reasons to doubt that “traditional” biological sentience dominates in expectation
  3. Why does this matter?

Reasons to doubt that digital sentience dominates in expectation

One can roughly identify two classes of reasons to doubt that most future sentient beings will be digital.

First, there are object-level arguments against the possibility of digital sentience. For example, based on his physicalist view of consciousness, David Pearce argues that the discrete and disconnected bits of a digital computer cannot, if they remain discrete and disconnected, join together into a unified state of sentience. They can at most, Pearce argues, be “micro-experiential pixels”.

Second, regardless of whether one believes in the possibility of digital sentience, the future dominance of digital sentience can be doubted on the grounds that it is a fairly strong and specific claim. After all, even if digital sentience is perfectly possible, it by no means follows that future sentient beings will necessarily converge toward being digital.

In other words, the digital dominance position makes strong assumptions about the most prevalent forms of sentient computation in the future, and it seems that there is a fairly large space of possibilities that does not imply digital dominance, such as (a future predominance of) non-digital neuron-based computers, non-digital neuron-inspired computers, and various kinds of quantum computers that have yet to be invented.

When one takes these arguments into account, it at least seems quite uncertain whether digital sentience dominates in expectation, even if we grant that artificial sentience does.

Reasons to doubt that “traditional” biological sentience dominates in expectation

A reason to doubt that “traditional” sentience dominates is that, whatever one’s theory of sentience, it seems likely that sentience can be created artificially — i.e. in a way that we would deem artificial. (An example might be further developed and engineered versions of brain organoids.) Specifically, regardless of which physical processes or mechanisms we take to be critical to sentience, those processes or mechanisms can most likely be replicated in other systems than just live biological animals as we know them.

If we combine this premise with an assumption of continued technological evolution (which likely holds true in the future scenarios that contain the largest numbers of sentient beings), it overall seems doubtful that the majority of future beings will, in expectation, be “traditional” biological organisms — especially when we consider the prospect of large futures that involve space colonization.

More broadly, we have reason to doubt the “traditional” biological dominance position for the same reason that we have reason to doubt the digital dominance position, namely that the position entails a rather strong and specific claim along the lines that: “this particular class of sentient being is most numerous in expectation”. And, as in the case of digital dominance, it seems that there are many plausible ways in which this could turn out to be wrong, such as due to neuron-inspired or other yet-to-be-invented artificial systems that could become both sentient and prevalent.

Why does this matter?

Whether artificial sentience dominates in expectation plausibly matters for our priorities (though it is unclear how much exactly, since some of our most robust strategies for reducing suffering are probably worth pursuing in roughly the same form regardless). Yet those who take artificial sentience seriously might adopt suboptimal priorities and communication strategies if they primarily focus on digital sentience in particular.

At the level of priorities, they might restrict their focus to an overly narrow set of potentially sentient systems, and perhaps neglect the great majority of future suffering as a result. At the level of communication, they might needlessly hamper their efforts to raise concern for artificial sentience by mostly framing the issue in terms of digital sentience. This framing might lead people who are skeptical of digital sentience to mistakenly dismiss the broader issue of artificial sentience.

Similar points apply to those who believe that “traditional” biological sentience dominates in expectation: they, too, might restrict their focus to an overly narrow set of systems, and thereby neglect to consider a wide range of scenarios that may intuitively seem like science fiction, yet which nevertheless deserve serious consideration on reflection (e.g. scenarios that involve a large-scale spread of suffering due to space colonization).

In summary, there are reasons to doubt both the digital dominance position and the “traditional” biological dominance position. Moreover, it seems that there is something to be gained by not using the narrow term “digital sentience” to refer to the broader category of “artificial sentience”, and by being clear about just how much broader this latter category is.

Controlling for a thinker’s big idea

This post is an attempt to write up what I consider a useful lesson about intellectual discourse. The lesson, in short, is that it is often helpful to control for a thinker’s big idea. That is, a proponent of a big idea may often overstate the plausibility or significance of their big idea, especially if this thinker’s intellectual persona has become strongly tied to that idea.

This is in some sense a trivial lesson, but it is also a lesson that seems to emerge quite consistently when one does research and tries to form a view on virtually any topic. Since I have not seen anyone write about this basic yet important point, I thought it might be worth doing so here (though others have probably written about it somewhere, and awareness of the phenomenon is no doubt widespread among professional researchers).


Contents

  1. Typical patterns of overstatement, overconfidence, and overemphasis
  2. Analogy to sports fans
  3. Controlling for the distorting influence of overconfidence and skewed emphases
  4. Examples of thinkers with big ideas
    1. Kristin Neff and self-compassion
    2. Jonathan Haidt and the social intuitionist model of moral judgment
    3. David Pinsof and hidden status motives
    4. Robin Hanson and grabby aliens
    5. David Pearce and the abolitionist project
    6. Other examples
  5. Concluding note: The deeper point applies to all of us

Typical patterns of overstatement, overconfidence, and overemphasis

The tendency for a thinker to overstate their big idea often takes the following form: in a condition where many different factors contribute to some given effect, a thinker with a big idea can be inclined to highlight one particular factor, and to then confidently present this one factor as though it is the only relevant one, in effect downplaying other plausible factors.

Another example might be when a thinker narrowly advocates their own approach to a particular problem, whereby they quietly neglect other approaches that may be similarly, or even more, helpful.

In many cases, the overstatement mostly takes the form of skewed emphasis and framing rather than explicit claims about the relative importance of different factors or approaches.

Analogy to sports fans

An illustrative analogy might be sports fans who are deeply invested in their favorite team. For example, if a group of football fans argue that their favorite team is objectively the best one ever, we would rightly be skeptical of this assessment. Likewise, if such fans complain that referee calls against their team tend to be deeply unfair, we should hardly be eager to trust them. The sports fans are not impartial judges on these matters.

While we might prefer to think that intellectuals are fundamentally different from dedicated sports fans, it seems that there are nevertheless some significant similarities. For instance, in both cases, identity and reputation tend to be on the line, and unconscious biases often push beliefs in self-serving directions.

Indeed, across many domains of life, we humans frequently act more like sports fans than we would like to admit. Hence, the point here is not that intellectuals are uniquely similar to sports fans, but simply that intellectuals are also — like everyone else — quite like sports fans in some significant respects, such as when they cheer for their own ideas. (An important corollary of this observation is that we usually need to consult the work of many different thinkers if we are to acquire a balanced picture of a given issue — an insight that is, of course, also widely appreciated among professional researchers.)

I should likewise clarify that my point isn’t that scholars with a big idea cannot be right about their big idea; sometimes they are. My point is merely that if a thinker is promoting some big idea that has become tied to their identity and reputation, then we have good reason to be a priori skeptical of this thinker’s own assessment of the idea. (And, of course, this point about a priori skepticism also applies to me, to the extent that I am advancing any particular idea, big or small.)

Controlling for the distorting influence of overconfidence and skewed emphases

Why do people, both scholars and laypeople, often state their views with excessive confidence? Studies suggest that a big part of the reason is that overconfidence quite simply works at persuading others.

Specifically, in studies where individuals can earn money if they convince others that they did well in an intelligence test, participants tend to display overconfidence in order to be more convincing, and this overconfidence in turn makes them significantly more persuasive to their audience. In other words, overconfidence can be an effective tool for influencing and even outright distorting the beliefs of receivers.

These findings suggest that we actively need to control for overconfidence, lest our minds fall for its seductive powers. Similar points apply to communication that emphasizes some ideas while unduly neglecting others. That is, it is not just overconfidence that can distort the beliefs of receivers, but also the undue neglect of alternative views, interpretations, approaches, and so on (cf. the availability heuristic and other salience-related biases).

Examples of thinkers with big ideas

Below, I will briefly list some examples of thinkers who appear, in my view, to overstate or overemphasize one or more big ideas. I should note that I think each of the thinkers mentioned below has made important contributions that are worth studying closely, even if they may at times overstate their big ideas.

Kristin Neff and self-compassion

Kristin Neff places a strong emphasis on self-compassion. In her own words: “I guess you could say that I am a self-compassion evangelist”. And there is indeed a large literature that supports its wide-ranging benefits, from increased self-control to greater wellbeing. Even so, it seems to me that Neff overemphasizes self-compassion relative to other important traits and constructs, such as compassion for others, which is also associated with various benefits. (In contrast to Neff, many psychologists working in the tradition of compassion-focused therapy display a more balanced focus on compassion for both self and others, see e.g. Gilbert et al., 2011; Kirby et al., 2019.)

One might object that Neff specializes in self-compassion and that she cannot be expected to compare self-compassion to other important traits and constructs. That might be a fair objection, but it is also an objection that in some sense grants the core point of this post, namely that we should not expect scholars to provide a balanced assessment of their own big ideas (relative to other ideas and approaches).

Jonathan Haidt and the social intuitionist model of moral judgment

Jonathan Haidt has prominently defended a social intuitionist approach to moral judgment. Simply put, this model says that our moral judgments are almost always dictated by immediate intuitions and then later rationalized by reasons.

Haidt’s model no doubt has a lot of truth to it, as virtually all of his critics seem to concede: our intuitions do play a large role in forming our moral judgments, and the reasons we give to justify our moral judgments are often just post-hoc rationalizations. The problem, however, is that Haidt appears to greatly understate the role that reasons and reasoning can play in moral judgments. That is, there is a lot of evidence suggesting that moral reasoning often does play an important role in people’s moral judgments, and that it frequently plays a larger role than Haidt’s model seems to allow (see e.g. Narvaez, 2008; Paxton & Greene, 2010; Feinberg et al., 2012).

David Pinsof and hidden status motives

David Pinsof emphasizes the hidden status motives underlying human behavior. In a world where people systematically underestimate the influence of status motives, Pinsof’s work seems like a valuable contribution. Yet it also seems like he often goes too far and overstates the role of status motives at the expense of other motives (which admittedly makes for an interesting story about human behavior). Likewise, it appears that Pinsof makes overly strong claims about the need to hide status motives.

In particular, Pinsof argues that drives for status cannot be openly acknowledged, as that would be self-defeating and undermine our status. Why? Because acknowledging our status drives makes us look like mere status-seekers, and mere status-seekers seem selfish, dishonest, and like they have low status. But this seems inaccurate to me, and like it assumes that humans are entirely driven by status motives, while simultaneously needing to seem altogether uninfluenced by status motives. An alternative view is that status motives exert a significant, though not all-powerful, pull on our behavior, and acknowledging this pull need not make us appear selfish, dishonest, or low-status. On the contrary, admitting that we have status drives (as everyone does) may signal a high level of self-awareness and honesty, and it hardly needs to paint us as selfish or low-status (since again, we are simply acknowledging that we possess some basic drives that are shared by everyone).

It is also worth noting that Pinsof seems to contradict himself in this regard, since he himself openly acknowledges his own status drives, and he does not appear to believe that this open acknowledgment is self-defeating or greatly detrimental to his social status, perhaps quite the contrary. Indeed, by openly discussing both his own and others’ hidden status motives, it seems that Pinsof has greatly boosted his social status rather than undermined it.

Robin Hanson and grabby aliens

Robin Hanson has many big ideas, and he seems overconfident about many of them, from futarchy to grabby aliens. To keep this section short, I will focus on his ideas related to grabby aliens, which basically entail that loud and clearly visible aliens explain why we find ourselves at such an early time in the history of the universe, as such aliens would prevent later origin dates.

To be clear, I think Hanson et al.’s grabby aliens model is an important contribution. The model makes some simplifying assumptions, such as dividing aliens into quiet aliens that “don’t expand or change much” and loud aliens that “visibly change the volumes they control”, and Hanson et al. then proceed to explore the implications of these simplifying assumptions, which makes sense. Where things get problematic, however, is when Hanson goes on to make strong statements based on his model, without adding the qualification that his conclusions rely on some strong and highly simplifying assumptions. An example of a strong statement is the claim that loud aliens are “our most robust explanation for why humans have appeared so early in the history of the universe.”

Yet there are many ways in which the simplifying assumptions of the model might be wrong, and which Hanson seems to either ignore or overconfidently dismiss. To mention just two: First, it is conceivable that much later origin dates are impossible, or at least prohibitively improbable, due to certain stellar and planetary conditions becoming highly unfavorable to complex life in the future (cf. thegreatatuin, 2016; 2017). Since we do not have a good understanding of the conditions necessary for the evolution of complex life, it seems that we ought to place a significant probability on this possibility (while also placing a significant probability on the assumption that the evolution of complex life will remain possible for at least a trillion years).

Second, Hanson et al.’s basic model might be wrong in that expansionist alien civilizations could generally converge to be quiet, in the sense of not being clearly visible; or at least some fraction of expansionist civilizations could be quiet (both possibilities are excluded by Hanson et al.’s model). This is not a minor detail, since if we admit the possibility of such aliens, then our observations do not necessarily give us much evidence about expansionist aliens, and such aliens could even be here already. Likewise, quiet expansionist aliens could be the explanation for early origin dates rather than loud expansionist ones.

When considering such alternative explanations, it becomes clear that the claim that loud aliens explain our seemingly early position in time is just one among many hypotheses, and it is quite debatable whether it is the most plausible or robust one (see also Friederich & Wenmackers, 2023).

David Pearce and the abolitionist project

David Pearce is another thinker who has many big and profound ideas. By far the biggest of these ideas is that we should use biotechnology to abolish suffering throughout the living world, what he calls the abolitionist project. This is an idea that I strongly support in principle. Yet where I would disagree with Pearce, and where it seems to me that he is overconfident, is when it comes to the question of whether pushing for the abolitionist project is the best use of marginal resources for those seeking to reduce suffering.

Specifically, when we consider the risk of worst-case outcomes due to bad values and political dynamics, it seems likely that other aims are more pressing, such as increasing the priority that humanity devotes to the reduction of suffering, as well as improving our institutions such that they are less prone to worst-case outcomes (see also Tomasik, 2016; Vinding, 2020, ch. 13; 2021; 2022). At the very least, it seems that there is considerable uncertainty as to which specific priorities are most helpful for reducing suffering.

Other examples

Some other examples of thinkers who appear to overstate their big ideas include Bryan Caplan and Jason Brennan with their strong statements against democracy (see e.g. Farrell et al., 2022), as well as Paul Bloom when he makes strong claims against the utility of emotional empathy (see e.g. Christov-Moore & Iacoboni, 2014; Ashar et al., 2017; Barish, 2023).

Indeed, Bloom’s widely publicized case against empathy is a good example of how this tendency of overstatement is not confined to just a single individual, as there is also an inclination among publishers and the media to amplify strong and dramatic claims that capture people’s attention. This can serve as yet another force that pushes us toward hearing strong claims and simple narratives, and away from getting sober and accurate perspectives, which are often more complex and nuanced. (For example, contrast Bloom’s case against empathy with the more complex perspective that emerges in Ashar et al., 2017.)

Concluding note: The deeper point applies to all of us

Both for promoters and consumers of ideas, it is worth being wary of the tendency to become unduly attached to any single idea or perspective (i.e. attached based on insufficient reasons or evidence). Such attachment can skew our interpretations and ultimately get in the way of a commitment to form more complete and informed perspectives on important issues.

Can we confidently dismiss the existence of near aliens? Probabilities and implications

An earlier post of mine reviewed the most credible evidence I have managed to find regarding seemingly anomalous UFOs. My aim in this post is to mostly set aside the purported UFO evidence and to instead explore whether we can justify placing an extremely low probability on the existence of near aliens, irrespective of the alleged UFO evidence. (By “near aliens”, I mean advanced aliens on or around Earth.)

Specifically, after getting some initial clarifications out of the way, I proceed to do the following:

  • I explore three potential justifications for a high level of confidence (>99.99 percent) regarding the absence of near aliens: (I) an extremely low prior, (II) technological impossibility, and (III) expectations about what we should observe conditional on advanced aliens being here.
  • I review various considerations that suggest that these potential justifications, while they each have some merit, are often overstated.
    • For example, in terms of what we should expect to observe conditional on advanced aliens having reached Earth, I argue that it might not look so different from what we in fact observe.
      • In particular, I argue that near aliens who are entirely silent or only occasionally visible are more plausible than commonly acknowledged. The motive of gathering information about the evolution of life on Earth makes strategic sense relative to a wide range of goals, and this info gain motive is not only compatible with a lack of clear visibility, but arguably predicts it.
  • I try to give some specific probability estimates — priors and likelihoods on the existence of near aliens — that seem reasonable to me in light of the foregoing considerations.
  • Based on these probability estimates, I present Bayesian updates of the probability of advanced aliens around Earth under different assumptions about our evidence.
  • I argue that, regardless of what we make of the purported UFO evidence, the probability of near aliens seems high enough to be relevant to many of our decisions, especially those relating to large-scale impact and risks.
  • Lastly, I consider the implications that a non-negligible probability of near aliens might have for our future decisions, including the possibility that our main influence on the future might be through our influence on near aliens.

Contents

  1. My own background with the topic
  2. Preliminary clarification
  3. Real extraordinary UFOs need not imply aliens
  4. Hypothetical near aliens and expected value: Worth taking seriously even if unlikely
  5. What can justify confidence about the absence of near aliens?
  6. I. An extremely low prior in near aliens
    1. Counterpoints to the “big empty universe” argument
      1. The possibility of panspermia siblings
      2. A priori arguments from theoretical models
      3. An unusual galaxy
      4. Pseudo-panspermia
      5. Uncertainty about the prevalence of clearly visible aliens given prevalent alien life
      6. A moderate prevalence of life + a moderate visibility ratio need not imply current visibility
    2. Counterpoints to the evolutionary argument
      1. A potentially large number of habitable planets
      2. Crowding out evolutionary niches
    3. All-things-considered probability estimates: Priors on near aliens
  7. II. Technological impossibility
  8. III. Not what we should observe conditional on aliens being here
    1. Why so confident?
    2. The info gain hypothesis
      1. The plausibility of the info gain motive
      2. Info gain as a plausible explanation for a lack of clear visibility
      3. Info gain as further (weak) support for a modestly high prior in near aliens
    3. All-things-considered probability estimates: Likelihoods on near aliens
  9. Puzzling intuitions
  10. Bayesian updates
  11. Decision-related implications of hypothetical near aliens
    1. Influencing future alien actions?
    2. Seeking a better understanding
    3. How to better understand near aliens
    4. Wagers to focus on human-controlled scenarios versus alien-controlled scenarios
    5. Updating toward more of a short-term focus?
  12. More research needed
  13. Acknowledgments

My own background with the topic

Around ten years ago, I was planning to write a short ebook titled Why We Will Never Encounter Intelligent Extraterrestrial Life. The core argument of the book would be based on (1) the vast distances of interstellar space, and (2) the Rare Earth hypothesis and the many “only-happened-once” steps that seem to have been involved in the emergence of technological civilization on Earth (akin to the arguments found here).

So to say that I was skeptical of extraterrestrial life in our vicinity, and to say that I was confident in my skepticism, would be an understatement. I think this background is worth sharing because it gives some sense as to where I am coming from in my approach to this topic. That is, I used to believe, and still do believe, that there are good reasons to be skeptical of the possibility of alien intelligence close to us. But what I have found worth reconsidering and exploring more deeply is the exact nature and strength of those reasons, and whether they can indeed justify the kind of extreme confidence that I used to hold. At this point, I no longer believe that they do.

Preliminary clarification

This essay contains a lot of speculation and loose probability estimates. It would be tiresome if I constantly repeated caveats like “this is extremely speculative” and “this is just a very loose estimate that I am highly uncertain about”. So rather than making this essay unreadable with constant such remarks, I instead say it once from the outset: many of the claims I make here are rather speculative and they mostly do not imply a high level of confidence. My aim in this essay is to try to reason through a subject that puzzles me and about which I am quite agnostic. I hope that readers will keep this key qualification in mind.

Real extraordinary UFOs need not imply aliens

Another basic clarification is that real UFOs with remarkable abilities would not necessarily have to be aliens. The extraterrestrial hypothesis is just one hypothesis among others, and even if it may be the most plausible one (conditional on extraordinary UFOs being real), we still need to consider the many other hypotheses that also deserve non-negligible weight. These include the hypothesis that some secret human organization has developed craft with remarkable abilities, as well as any other hypothesis that implies an Earth-based origin.

A related clarification is that aliens need not imply animal-like or biological-like aliens, since they could be entirely artificial or otherwise self-designed beyond their original form, which is arguably the most plausible hypothesis (again conditional on extremely advanced aliens being real). After all, any alien civilization capable of visiting Earth would likely be millions of years ahead of us, and it seems unlikely that a technologically advanced species would retain its initial form for so long.

Hypothetical near aliens and expected value: Worth taking seriously even if unlikely

It might be natural to assume that a fairly high probability in near aliens is required for the issue to be worth taking seriously. Yet that is by no means the case. From an expected value perspective, the issue would be worth taking seriously and worth analyzing even if there were only, say, a 1 in 10,000 probability of advanced aliens near Earth, especially if we are concerned with analyzing risks that involve large-scale outcomes. Given how consequential it would be if aliens were already here, we seem to have good reason to explore the implications that would follow from such an alien presence. Indeed, this seems true even if we had no reports of UFOs whatsoever, as I will try to argue below. (To clarify, by “worth taking seriously” I do not mean to imply that considerations about near aliens should necessarily weigh strongly in our decisions given a 1 in 10,000 probability, but merely that they should not be dismissed as irrelevant.)

It is hardly a mystery why we might assume that a high probability of aliens is required for the issue to be worth taking seriously, since that is generally how our intuitive reasoning seems to work. That is, research shows that we are prone to belief digitization, which is the tendency to only consider the single most likely hypothesis in prediction and decision contexts, and to fallaciously disregard all other hypotheses as though they had no relevance whatsoever. Yet it would be a mistake to rely on this rough heuristic of “only consider the single most likely hypothesis” in more serious analyses. For example, any risk analysis that relies on this heuristic would be practically useless.

What can justify confidence about the absence of near aliens?

It is worth asking why many of us are — or have been — so confident about the absence of near aliens (i.e. advanced aliens on or around Earth), seemingly giving it much less than a 1 in 10,000 probability. I am not here interested in sociological explanations of this confidence (e.g. stigma and conformity), but rather in reasons that can provide legitimate justification for confidence in the absence of near aliens.

It seems to me that we can roughly divide the potential justifications into three classes (this resembles the breakdown found in Hanson, 2021):

  • I. An extremely low prior in near aliens
  • II. Technological impossibility
  • III. What we currently see on Earth is not what we should observe conditional on aliens being here

I will explore each of these in turn.

I. An extremely low prior in near aliens

One path to a very low probability in near aliens is to have an extremely low prior to begin with. (What I mean by the “prior” in this context is the probability we would assign to the existence of near aliens given our prior knowledge from fields like cosmology and evolutionary history, before we consider any events that we observe — or fail to observe — on and around Earth today.)

The two main reasons in favor of an extremely low prior in near aliens is the lack of clear signs of advanced aliens in the universe at large (call this the “big empty universe” argument), as well as the apparent rarity of the critical steps that led to intelligent life on Earth (call this the evolutionary argument).

I would agree that both these reasons count in favor of a low prior in near aliens. But the question is how low, especially when we factor in other aspects of our prior knowledge that may point in the opposite direction.

Counterpoints to the “big empty universe” argument

The “big empty universe” argument roughly says that if advanced aliens are common enough to have reached us, then we should expect to see clearly visible signs of advanced aliens in the universe at large (because there would in that case be so many alien civilizations out there, and it seems unlikely that all of them would converge toward policies of low visibility). Therefore, since we do not observe any clear signs of aliens elsewhere, we should conclude that advanced aliens are not near.

What follows are some counterpoints to this argument.

The possibility of panspermia siblings

The absence of clearly visible aliens in the universe at large is not necessarily that strong of a reason to discount near aliens when we consider the possibility of correlated panspermia siblings. This is somewhat analogous to how the apparent rarity of life in general is not a strong reason to be surprised by the existence of non-human animal cousins here on Earth, conditional on our existence. A mostly lifeless universe need not speak strongly against the existence of living relatives in our vicinity.

Of course, the idea that Earth-based life might have panspermia siblings is highly speculative, yet the theoretical possibility still somewhat reduces the force of the “big empty universe” argument.

A priori arguments from theoretical models

A consideration that may weakly raise our credence in the panspermia hypothesis, as well as in the more general hypothesis that key steps in life evolution may have occurred early in our galaxy, is that a number of theoretical frameworks appear to support an earlier origin.

For example, the hard-steps model underlying Hanson et al’s work on grabby aliens implies that the emergence of advanced civilizations should occur at an increasing frequency over time, and hence hypotheses that imply an earlier origin of the earliest life would a priori be more likely under this model. The related model explored in Snyder-Beattie et al (2021, sec. 6.3) similarly favors an earlier origin of life, other things being equal (the authors only mention the possibility of an earlier origin on Mars, but their point generalizes to even earlier hypothetical origins).

An unusual galaxy

The “panspermia siblings” hypothesis is just one potential explanation as to why intelligent life might have evolved elsewhere in our galaxy despite not being clearly visible in the universe at large. Another class of explanations is that our galaxy happens to be uniquely suited for the emergence of life, and hence alien life could be close even if the “panspermia siblings” hypothesis is false.

There is some evidence that our galaxy is indeed a rare outlier in various respects. For instance, our galaxy appears to exist within an unusually empty region of space, adjacent to an unusually large void, while being unusually large for a galaxy positioned at the edge of a “cosmological wall”. It is not yet clear whether these features make our galaxy especially conducive to life, yet it is conceivable that they do.

Relatedly, one could argue that the fact that we have emerged in this galaxy is itself a weak reason to think that our galaxy may be uniquely conducive to the emergence of life. That is, just like there is a so-called Goldilocks zone around stars and within galaxies, there might likewise be an intergalactic Goldilocks zone defined by a unique set of galactic properties. If there are, we should expect to find ourselves — and hypothetical aliens — within that zone. (Note also that the panspermia hypothesis and the Goldilocks hypothesis could be complementary; that is, intergalactic Goldilocks conditions could help explain why early panspermia happened here, if it did.)

Pseudo-panspermia

A specific way in which our galaxy could have been uniquely conducive to life even without full-blown panspermia is via pseudo-panspermia. In contrast to panspermia, pseudo-panspermia merely entails that many of the smaller organic compounds required for life originated in space. And unlike panspermia, pseudo-panspermia is fairly well-supported; indeed, a number of organic molecules have already been shown to exist in comets and cosmic dust.

Pseudo-panspermia could imply correlated and unusually prevalent life in our galaxy, provided that the “pseudo-panspermic conditions” of our galaxy were uniquely favorable to life. And again, the fact that we are here could be taken as weak support for that conjecture.

In other words, it is conceivable that a substantial part of the great filter lies in collecting the “right” mix of organic molecules in the first place, possibly even a unique composition of isotopes. Some perhaps relevant evidence in this regard is that a recent study found that “the chemical nature of the Milky Way is rare among galaxies of its rough shape and structure”. Relevant, too, both to the panspermia and pseudo-panspermia hypotheses, is that “the Milky Way is remarkably efficient at mixing its material, circulating molecules and atoms from the galactic center out into the galaxy’s spiral arms and back”.

Uncertainty about the prevalence of clearly visible aliens given prevalent alien life

That life may have arisen uniquely early and become uniquely prevalent in our particular galaxy is one reason the “big empty universe” argument might not speak strongly against near aliens. Another reason has to do with uncertainty about the prevalence of clearly visible aliens conditional on a high prevalence of alien life.

That is, the “big empty universe” argument against the existence of advanced aliens in our galaxy assumes that we would see clear signs of life elsewhere, i.e. beyond our galaxy, if advanced alien life were prevalent in the universe at large. Yet just how sure can we be about this claim? Even if we grant that we would most likely see unmistakable signs of alien life if such life were prevalent, it seems that we still have some reasons to doubt that we would.

For example, we can hardly rule out that the ratio of “advanced aliens who are clearly visible” to “advanced aliens who are not clearly visible” (from vast distances) could be extremely low. After all, there might be strong strategic reasons not to become a clearly visible civilization, or to greatly postpone clearly visible activity. One of these reasons might be the info gain motive mentioned below, and there could well be many other such reasons.

In light of these considerations, it seems reasonable to assign ~5 percent probability to observing roughly what we observe even assuming that advanced aliens are fairly prevalent throughout the universe. (To be specific, “fairly prevalent” could here mean something like 1 advanced alien civilization per 100 large galaxies.)

Note that our uncertainty about alien visibility from vast distances is a disjunctive reason to lower the force of the “big empty universe” argument, distinct from the reasons relating to the potentially correlated origin of near aliens.

A moderate prevalence of life + a moderate visibility ratio need not imply current visibility

Let us define the ‘visibility ratio’ as the ratio of advanced aliens who are “clearly visible” to those who are “not clearly visible” when observed from a vast distance within their future light cone. The “big empty universe” argument can seem to imply that we must assume an extremely low visibility ratio in order for intergalactic advanced aliens to be here and for us to not see clearly visible aliens in the universe at large. However, by taking a closer look and inserting some specific numbers, we see that this is not necessarily the case.

For example, say that we assume an average concentration of 1 advanced alien civilization per sphere with a radius of 300 million light years throughout the universe. Such a concentration could imply that advanced aliens from another galaxy would have been able to reach us by now. For instance, they could be the average advanced civilization from within our 300 Mly sphere, or they could even be from an adjacent sphere, provided that they originated around 600 million years ago.

Yet this concentration would also imply that the lack of clearly visible aliens in the universe at large is not strong evidence against the existence of near aliens. For as we look beyond a radius of a few hundred million light years, the light that reaches us becomes increasingly out of date and thus requires increasingly early alien origins for us to observe any signs of them.

Hence, uncorrelated advanced aliens could be near, moderately prevalent throughout the universe, not yet visible, and have a moderate visibility ratio — say, 1 in 5 or even higher. The ratio can be higher or lower depending on the exact concentration and how recently we assume advanced aliens to have appeared. For example, if one thinks that a substantial fraction of advanced aliens likely appeared much earlier than a few hundred million years ago, then near aliens could likewise be much older and from much further away (e.g. from 2 billion light years away), and thus earlier origins and a lower concentration of advanced aliens could still imply near-alien presence, no current large-scale visibility, and a moderate-to-high visibility ratio.

This point about how uncorrelated near aliens need not imply an extremely low visibility ratio is yet another disjunctive point against the “big empty universe” argument, on top of both the possibility of correlated origins and our uncertainty about the large-scale visibility of advanced aliens conditional on prevalent alien life. That is, when evaluating the probability of near aliens in an apparently empty universe, we should separately assign some weight to the hypotheses of “correlated origins”, “uncorrelated origins + an extremely low visibility ratio”, and “uncorrelated origins + a moderate visibility ratio and concentration”.

Counterpoints to the evolutionary argument

What about the observation that many of the critical steps in the history of life appear to have happened only once? I see at least two reasons why this is not a strong point against the existence of near aliens.

A potentially large number of habitable planets

The number of planets in the Milky Way Galaxy is estimated to be around 100-300 billion. Research suggests that 300 million of these could be habitable, perhaps many more; and a non-trivial fraction of these planets might be more habitable than Earth. With such a large number of potentially habitable planets, it seems difficult to confidently exclude that intelligent life might have evolved elsewhere in our galaxy, even if we grant that the evolution of intelligent life requires some exceedingly rare events.

Moreover, as noted earlier, our galaxy is by no means the only conceivable place from which hypothetical near aliens could have originated. If we go beyond our galaxy and look at, say, the ~2,500 large galaxies that exist within 100 million light years, a crude extension of the Milky Way estimates above would suggest that these galaxies contain around 250 to 750 trillion planets, and around 750 billion habitable planets. Extending this estimate to a radius of 300 million light years, we get 67,500 large galaxies with 6 to 20 quadrillion planets and around 20 trillion habitable planets. These staggering numbers make it much less plausible still to be confident about the absence of near aliens based on our own evolutionary history.

Crowding out evolutionary niches

The fact that many critical events seem to have happened only once on Earth is not necessarily strong evidence as to how often similar events might occur across different habitable environments, such as other planets. After all, it seems plausible that at least some evolutionary developments only happen once because they in effect crowd out a particular niche, thereby preventing similar steps from happening again in the same environment (cf. the competitive exclusion principle). This is not to deny that many of the events involved in the evolution of life on Earth are rare, but the crowding-out consideration does serve to question just how rare we should infer them to be based on our limited knowledge of evolutionary histories (n=1).

All-things-considered probability estimates: Priors on near aliens

Where do all these considerations leave us? In my view, they overall suggest a fairly ignorant prior. Specifically, in light of the (interrelated) panspermia, pseudo-panspermia, and large-scale Goldilocks hypotheses, as well as the possibility of near aliens originating from another galaxy, I might assign something like a 10 percent prior probability to the existence of at least one advanced alien civilization that could have reached us by now if it had decided to. (Note that I am here using the word “civilization” in a rather liberal sense; for example, a distributed web of highly advanced probes would count as a civilization in this context.) Furthermore, I might assign a probability not too far from that — maybe around 1 percent — to the possibility that any such civilization currently has a presence around Earth (again, as a prior).

Why do I have something like a 10 percent prior on there being an alien presence around Earth conditional on the existence of at least one advanced alien civilization that could have reached us? In short, the main reason is the info gain motive that I explore at greater length below. Moreover, as a sanity check on this conditional probability, we can ask how likely it is that humanity would send and maintain probes around other life-supporting planets assuming that we became technologically capable of doing this; roughly 10 percent seems quite sane to me.

At an intuitive level, I would agree with critics who object that a ~1 percent prior probability in any kind of alien presence around Earth seems extremely high. However, on reflection, I think the basic premises that get me to this estimate look quite reasonable, namely the two conjunctive 10-percent probabilities in “the existence of at least one advanced alien civilization that could have reached us by now if it had decided to” and “an alien presence around Earth conditional on the existence of at least one advanced alien civilization that could have reached us”.

Note also that there are others who seem to defend considerably higher priors regarding near aliens (see e.g. these comments by Jacob Cannell; I agree with some of the points Cannell makes, though I would frame them in more uncertain and probabilistic terms).

I can see how substantially lower priors than mine could be defensible, even a few orders of magnitude lower, depending on how one weighs the relevant arguments. Yet I have a hard time seeing how one could defend an extremely low prior that practically rules out the existence of near aliens. (Robin Hanson has likewise argued against an extremely low prior in near aliens.)

II. Technological impossibility

Another potential justification for a very low probability in near aliens has to do with claims about technological impossibility. That is, the technology that would be required seems impossible, and therefore we have strong reasons to doubt that aliens could be present around Earth.

This claim is relevant in at least two ways. First, it is relevant to the possibility of alien visits to Earth: could they even travel from their planet of origin to here in the first place? Second, it is relevant to how we evaluate purported UFO sightings: could hypothetical aliens have technology capable of the advanced feats that various pilots have reported, such as extreme acceleration and flying without visible means of propulsion?

These two questions belong to separate parts of our analysis — i.e. the prior and the likelihood, respectively — yet it seems worth treating them together in light of their similarity. Indeed, I would argue that the same basic line of reasoning applies to both cases. That line of reasoning is as follows: for any civilization that is millions, or even just several thousands, of years ahead of us in terms of their scientific and technological development, we should not be particularly confident that they could not eventually achieve capabilities at this level. (It is also worth noting that there is some theoretical speculation as to how reported UAP capabilities could be physically possible; see also this interview with physicist Eric Davis.)

Specifically, it seems to me that we can hardly defend placing much less than 50 percent probability on the claim that an advanced civilization that is countless generations ahead of ours would possess capabilities like these. After all, such a civilization would presumably have exceedingly advanced AI, physics, materials science, and so on.

I should clarify that this ~50 probability estimate does not change my prior listed in the previous section, since the ~50 percent probability that the hypothetical aliens would not be able to travel through the galaxy is already factored into that prior.

Overall, I suspect that most analysts would not give this technology-related objection as their main reason for doubting that aliens could be present around Earth, at least not on reflection. However, I suspect that many of us might nevertheless feel like it is a strong reason at an intuitive level, even if it might not be strong on closer scrutiny. That being said, I think the need to update our intuitions is much greater when it comes to the third and final point, namely what we should expect to see if advanced aliens were in fact present around Earth.

III. Not what we should observe conditional on aliens being here

It is my impression that, at least for many people, by far the strongest reason to be confident that there are no near aliens is that the events we currently see on and around Earth are not what we should observe conditional on advanced aliens being here. But just how strong is this reason, and is it a strong reason at all? It seems to me that it is not.

Why so confident?

The assumption seems to be that if advanced aliens were here, they should be clearly visible and leave no doubt as to their presence. Yet this is a rather strong assumption. After all, it seems that there is a fairly broad class of motives for not being clearly visible, and we can hardly claim to be confident that advanced aliens would not have motives within that rather broad class of motives.

As Robin Hanson writes: “If we often have trouble explaining the behaviors of human societies and individuals, I don’t think we should feel very confident in predicting detailed behaviors of a completely alien civilization.” Hanson has speculatively proposed some specific explanations for not clearly visible aliens, such as particular values or strategies for gradually causing humanity to submit, and he suggests that there are many other possible explanations as to why advanced aliens might be quiet (conditional on them being here).

The info gain hypothesis

To my mind, Hanson’s specific explanations are not even among the most plausible ones. As I see it, the most plausible explanation for advanced alien visits to Earth is to gain information about the evolution of life on Earth, including our future evolution. We may call this the “info gain hypothesis” regarding the key motive for advanced alien visitation to Earth (conditional on them being here).

It is worth noting that many people seem to agree that this is a plausible motive. For example, in a Twitter poll conducted by Hanson (n=1,243), more than 65 percent of people thought that the most likely motive for alien UFO visits to Earth would be to “study us as [an] independent example of life evolution”. And there is indeed much to be said in favor of the plausibility of this motive.

The plausibility of the info gain motive

Perhaps the main reason that supports the info gain motive is the potentially extreme value of information concerning the evolution of life on Earth. Or expressed in more general terms: it may be extremely valuable to study any life-supporting planet in order to better understand the distribution of evolutionary trajectories across life-supporting planets.

There are two basic reasons why this could be exceptionally valuable. First, even if we grant the existence of near aliens, it still seems likely that the evolution of complex life — let alone civilizations — is quite rare in the universe at large. Perhaps there are only a few civilizations within the (hypothetical) near aliens’ reach, in which case there would be a large info gain to studying life on Earth: it would constitute a large relative update in the expected distribution of evolutionary trajectories.

Second, apart from its potential rarity, the information could be valuable because it might inform highly consequential decisions in the far future. For example, if we assume something like a grabby aliens picture, and thus assume that multi-galaxy-spanning alien civilizations will eventually meet each other, then probably the best source of information that any such grabby alien civilization has about the likely trajectory of other grabby civilizations is to study non-grabby or pre-grabby civilizations within their reach.

After all, even if we assume that a grabby civilization would be able to run sophisticated simulations of other grabby aliens, those simulations would likely be significantly more accurate if they were based on data from real-world evolutionary trajectories. And this need not be restricted to data about the kinds of factions and life forms that have actually built civilizations; it may also include the many factions and life forms that did not develop into a powerful civilization, but which potentially could have under slightly different circumstances. Such broad data may not only help predict what future grabby aliens might be like, but also how prevalent and how far away they are likely to be.

Info gain as a plausible explanation for a lack of clear visibility

The info gain motive also tentatively predicts that the advanced aliens should not be clearly visible (I might give ~75 percent probability to “no clear visibility” conditional on them being here and having this motive). After all, ideas of non-reactive research, unobtrusive research, and the like are familiar from social science and animal studies, and the justification for such methodologies is fairly straightforward: if one interferes (too strongly) with the phenomenon under investigation, one risks dictating or otherwise distorting its outcome.

However, an info gain motive is also compatible with a certain level of experimentation, which could take the form of some occasionally visible interferences in order to test the reaction. So the info gain motive does not necessarily predict complete silence, even if it mostly predicts a not clearly visible presence.

Info gain as further (weak) support for a modestly high prior in near aliens

As hinted earlier, the plausibility of the info gain motive is also relevant to our prior. For example, if we combine a strong info gain motive with the above-mentioned hard-steps model, this would imply a scenario in which the very first advanced civilization would (mostly) quietly study other alien life forms and civilizations that emerge later at an increasing rate over time. And within this scenario, we should a priori expect ourselves to be among the more numerous later observees rather than the one very first (eventual) cosmic observer.

All-things-considered probability estimates: Likelihoods on near aliens

In light of the points raised above, what rough probability would I assign to advanced aliens being quiet, or not clearly visible, conditional on them being present around Earth (and conditional on our being here on Earth and not seeing clear signs of aliens in the universe at large)? As with all the numbers I give in this essay, the following are just rough numbers that I am not adamant about defending; I can readily see how different numbers can be defended. 

I might place ~10 percent probability on advanced aliens being completely quiet conditional on them being present, meaning that they would leave no observable trace, not even occasionally visible UFOs. In addition, I might place ~30 percent probability on them being occasionally visible, yet without being clearly visible. That leaves roughly 60 percent probability mass on clear visibility conditional on them being here, which includes outcomes where they continuously engage in unmistakable acts of aggression, diplomacy, or experimentation. (Of course, “visibility” is gradual and could be subdivided into many levels, but I have here chosen three rough categories for simplicity.)

I think a combined ~40 percent probability in “not clearly visible conditional on them being here” is reasonable in light of the plausibility of the info gain motive, which seems instrumentally rational for a wide range of future goals. (If the info gain motive is so plausible, then why not assign an even higher probability than 40 percent to “not clearly visible” conditional on them being here? Partly because we should also give some probability to seeing “clearly visible” activity given the info gain motive, such as overt and continuous experimentation, and partly because there are alternative motives that would mostly imply “clear visibility”.)

What specifically explains my ~10 percent in “totally quiet” conditional on them being here? The main reasons I would give are the desire not to disturb the phenomenon under investigation and the presumably high level of technological sophistication of a much older alien civilization, which might allow them to leave no trace whatsoever.

What explains my ~30 percent in “occasionally visible”? Despite the point made above, extensive studies still seem likely to involve some occasionally visible traces, either as an unavoidable side effect or as a deliberate consequence of an experimental procedure. And again, as noted by Hanson, there are other motives besides the info gain motive that could imply occasional visibility, such as gradually causing humanity to submit or get assimilated. Note also that different hypotheses of these kinds may be compatible. For example, the info gain motive and the assimilation motive could co-exist and be complementary: perhaps an alien civilization would see value in not only studying our evolution but also in assimilating and preserving Earth as a living library of sorts.

Puzzling intuitions

Before putting all these probability estimates together, it seems worth briefly reflecting on the core intuition explored in the previous section. That is, as hinted above, it seems that many people are intuitively confident that advanced aliens should be clearly visible conditional on them being here. But this seems puzzling considering the plausibility of the info gain motive, and not least considering that the plausibility of this motive seems widely accepted (cf. the earlier-mentioned poll). Moreover, it is quite likely that this is what we ourselves would do if we were to discover alien life on another planet, namely to study it with minimal interference. So why would our intuitions largely disregard this motive when considering hypothetical near aliens?

I suspect that part of the reason behind this intuition is that we may fail to intuit just how technologically advanced aliens might be. An interesting contrast in this regard is how an increasing number of people talk about the abilities of future AI systems, and about how these systems might eventually be able to hide and make plans that we cannot readily understand. At the level of intuitions, many of us seem to view near-term AI systems as far more capable than hypothetical advanced aliens with a presence around Earth. Yet the relationship would most likely be the opposite: the probes of an advanced alien civilization would be far more powerful than any self-improving AI system whose knowledge and technology are millions of years behind.

Indeed, just as some have speculated that future technology might make it possible to have a galaxy-scale population on Earth, one can similarly speculate that advanced technology could allow near aliens to fit more than the existing (effective) computing power of present-day Earth into a one-meter orb (cf. Lloyd, 2000). Thus, if our intuitions are out of touch when it comes to how advanced and inscrutable near-term AI systems might be, they seem completely out of touch as to how advanced and inscrutable hypothetical near aliens might be.



In any case, my point here is simply that it seems worth noticing whether we have strong intuitions about what we should observe conditional on advanced aliens being present, and to reflect on whether strong intuitions are justified.

Bayesian updates

My aim in this section is to present some Bayesian updates based on the estimates provided in the earlier sections. I will seek to provide two distinct posterior probabilities regarding near aliens, one in which our observed evidence is assumed to be “no trace of truly unusual UFOs”, and one in which the observed evidence is assumed to be “occasional sightings of truly unusual UFOs”. As hinted earlier, these are exceptionally broad and rough categories that could be partitioned much further, but they are helpful for keeping the analysis simple.

The general formula for the posterior probability is the following, where A is the hypothesis “advanced aliens around Earth”, E is the evidence, P(A) is the prior, and P(E|A) is the likelihood:

In the case of the first assumption about our observed evidence — “no trace of anything truly unusual” — my loose estimates imply the following:

In other words, a 0.1 percent posterior probability of advanced aliens around Earth given the 1 percent prior and no trace of anything unusual. The evidence (only) reduced the prior by a factor of around 10 due to the estimated 10 percent probability of advanced aliens leaving no trace conditional on them being here. (The only new estimate introduced in the equation above is the 98 percent probability of seeing no truly unusual UFOs conditional on there being no advanced aliens around Earth.)

Next, we have the assumption that our evidence is “occasional sightings of truly unusual UFOs”, where my rough estimates imply the following:

The posterior update is perhaps weaker than one might expect. The reason it is not stronger is partly the significant probability mass on something other than “occasional visibility” conditional on advanced aliens around Earth, and partly the non-trivial probability — around 1.5 percent in my rough estimate — of occasionally seeing truly unusual UFOs conditional on there being no near aliens, such as secret human-created or otherwise non-alien craft.

Of course, this is a rather crude and preliminary analysis. One could potentially refine it by looking at more specific predictions and evidence. For example, one could look at the predictions that would follow from the info gain motive in particular, and then explore the evidence related to those predictions. Specifically, one could argue that the info gain motive plausibly implies that hypothetical near aliens should be willing to make occasional interventions in order to prevent human self-destruction, since such preventive efforts would likely increase their info gain (after all, one would presumably learn more about future grabby aliens from civilizations that survived rather than from those that went extinct or collapsed). And one could then try to hold that prediction up against the numerous reports made by nuclear missile launch officers regarding UFOs interfering with nuclear weapons.

Such further investigations are beyond the scope of this post. What I will say, to share my own two cents, is that it seems to me that our observed evidence is more akin to “occasional sightings of truly unusual UFOs” than to “no trace of truly unusual UFOs”. For instance, it is difficult for me to see how one can take a closer look at the Nimitz incident and conclude that any conventional explanation like birds, balloons, helicopters, or drones is a plausible explanation of the totality of the evidence (e.g. the reports from David Fravor, Alex Dietrich, and Kevin Day).

However, the main point I would stress in light of the preceding analysis does not rest on the specific UFO evidence that we may (or may not) have, nor does it rest on any given interpretation of this evidence. In my view, perhaps the most important takeaway is that even assuming “no trace of truly unusual UFOs”, it seems that the probability of advanced aliens around Earth, while not high in absolute terms, is still high enough for us to take this possibility into account in our decisions going forward. From a perspective concerned with large-scale influence, a 1 in 1,000 probability of advanced aliens around Earth — and even a much lower probability than that — makes it worth exploring what the decision-related implications might be.

As with everything else in this essay, the following will be a highly incomplete discussion. I should also clarify that the decision-related implications that I here speculate on are not meant as anything like decisive or overriding considerations. Rather, I think they would mostly count as weak to modest considerations in our assessments of how to act, all things considered. (Of course, the exact strength of these considerations will depend on our exact probability in near aliens.)

Influencing future alien actions?

Perhaps the main implication of (a non-negligible probability of) near aliens is that we might be able to influence their expectations and future actions. That is, if aliens have reached Earth, they are likely far more powerful than us, and they likely prefer to keep things that way, suggesting that most of our influence on the long-term future might be through our influence on them.

How could we possibly influence their future actions if they are so much more powerful than us? One way is by influencing their expectations about how other aliens in the universe might act. For example, if we act in a hostile way, such as by preparing to fight them, the near aliens might (marginally) update their expectations toward conflict with future grabby aliens. Conversely, if we show a willingness to cooperate, they might update their expectations toward greater cooperation.

Of course, one may object that near aliens would take our efforts to influence them into account, and hence we should not expect that any such efforts to influence them would make any difference. Yet even if hypothetical near aliens were aware of our intentions to influence them, our actions could still count as (weak) evidence regarding how other real-world agents might act in the future, and thus still exert some influence. For example, our actions might provide some information about the distribution of values and decision strategies among real-world agents more broadly, agents who might face similar conditions of uncertainty as we do.

Assuming that we could influence near-alien expectations, how should we ideally influence them? Should we try to nudge them to prepare for conflict or cooperation? The answer is hardly clear. While it may feel intuitively obvious to say “cooperation”, it is conceivable that “conflict” might be better — for instance, if far grabby aliens will be much worse than our near aliens, and if conflict preparations best enable our near aliens to win or otherwise create better outcomes.

Seeking a better understanding

A better understanding of the near aliens would be helpful for our decisions in this regard, and seeking such a better understanding would likely be a top priority conditional on their existence. From a circumstance of high uncertainty about their existence, it is obviously less of a priority, but it is probably still worth devoting some resources toward it, at least by some people.

Quite a bit has been written about the speculative possibility of understanding and cooperating with distant aliens (e.g. in the context of “acausal trade” and “Multiverse-wide cooperation”). Yet relatively little serious analysis seems to have been done on the possibility of understanding and interacting with hypothetical near aliens (which is also speculative, to be sure, though perhaps less so).

How to better understand near aliens

How, specifically, could we seek to gain a better understanding of hypothetical near aliens? One way might be to engage in informed theorizing to see whether we can draw any sensible inferences about them based on their lack of clear visibility (conditional on their presence). Another strategy would be to explore purported UFO reports in order to see whether any informative patterns might emerge. For instance, one could explore whether the many UFO reports connected with nuclear weapons are indicative of any consistent set of motives. A third strategy might be to seek out new data, such as by using advanced sensor technology to track purported UFO hotspots (see e.g. UAPx).

To be clear, none of these investigative efforts require us to assume that near aliens actually exist, as opposed to simply exploring what we might infer, or modestly update toward, conditional on their existence. And, of course, these strategies may be unlikely to yield any clear or greatly useful results, but they could still be worth pursuing given both the potential stakes and the neglectedness of the issue.

Wagers to focus on human-controlled scenarios versus alien-controlled scenarios

Regarding the potential stakes, one could argue that there is a wager against focusing on scenarios in which we mostly influence the long-term future through our — perhaps at best modest — effects on near aliens. In other words, one could argue that our influence on the future seems rather limited in this class of scenarios, which gives us reason to instead focus on scenarios in which we can determine our long-term future ourselves.

I see at least two arguments against this line of reasoning. First, the validity of the argument above seems to depend on who “we” are. Specifically, if “we” are a group of marginal actors who try to steer the future in a slightly better direction, then it is hardly clear whether our influence on human descendants would necessarily be greater than our influence on advanced near aliens (conditional on their existence). In fact, one may argue that our influence on near aliens could be greater, as they might be less resistant to updating their views, be better informed about our actions, have broader attention bandwidth, and so on, compared to humanity at large.

Second, the wager to focus on vast human-controlled futures seems weakened by a wager in the opposite direction, namely a wager to focus on vast futures controlled by near aliens. And one could argue that the latter wager is stronger in some important ways. After all, if advanced near aliens exist, they are already an expansive species with cosmic-scale influence, whereas humans seem quite far from reaching that stage, and might well never reach it. Thus, a low probability of a human-controlled cosmic future could imply that the wager on near alien influence is overall stronger, even given uncertainty about their existence. To be clear, I am not saying that I endorse this argument, but it does seem worth considering, especially in a generalized form that pertains to our influence on all future aliens that might potentially learn about and be influenced by us.

Updating toward more of a short-term focus?

Another implication might be to update more toward helping beings in the short term. In particular, if one believes that near aliens would govern the long-term future in a mostly predecided manner regardless of what humans do, then a greater probability in near aliens would shift a greater fraction of our expected impact toward the short term. For under those assumptions, our expected impact on the long-term future would be greatly reduced by near aliens, yet our potential to help fellow beings in the short term would seem largely unchanged.

Thus, somewhat ironically, (greater degrees of) belief in near aliens could ultimately push us toward more commonsensical priorities in altruistic endeavors.

More research needed

The remarks above have barely scratched the surface. In light of the considerations reviewed in this essay, it seems to me that more serious attention to the possibility of near aliens is warranted, especially in terms of its potential implications for our decisions.

Acknowledgments

For helpful comments, I thank Teo Ajantaival, David Althaus, Tobias Baumann, Mathias Kirk Bonde, Tristan Cook, and Robin Hanson.

A convergence of moral motivations

My aim in this post is to outline a variety of motivations that all point me in broadly the same direction: toward helping others in general and prioritizing the reduction of suffering in particular.


Contents

  1. Why list these motivations?
  2. Clarification
  3. Compassion
  4. Consistency
  5. Common sense: A trivial sacrifice compared to what others might gain
  6. The horror of extreme suffering: The “game over” motivation
  7. Personal identity: I am them
  8. Fairness
  9. Status and recognition
  10. Final reflections

Why list these motivations?

There are a few reasons why I consider it worthwhile to list this variety of moral motivations. For one, I happen to find it interesting to notice that my motivations for helping others are so diverse in their nature. (That might sound like a brag, but note that I am not saying that my motivations are necessarily all that flattering or unselfish.) This diversity in motivations is not obvious a priori, and it also seems different from how moral motivations are often described. For example, reasons to help others are frequently described in terms of a singular motivation, such as compassion.

Beyond mere interest, there may also be some psychological and altruistic benefits to identifying these motivations. For instance, if we realize that our commitment to helping others rests on a wide variety of motivations, this might in turn give us a greater sense that it is a robust commitment that we can be confident in, as opposed to being some brittle commitment that rests on just a single wobbly motivation.

Relatedly, if we have a sense of confidence in our altruistic commitment, and if we are aware that it rests on a broad set of motivations, this might also help strengthen and maintain this commitment. For example, one can speculate that it may be possible to tap into extra reserves of altruistic motivation by skillfully shifting between different sources of such motivation.

Another potential benefit of becoming more aware of, and drawing on, a greater variety of altruistic motivations is that they may each trigger different cognitive styles with their own unique benefits. For example, the patterns of thought and attention that are induced by compassion are likely different from those that are induced by a sense of rigorous impartiality, and these respective patterns might well complement each other.

Lastly, being aware of our altruistic motivations could help give us greater insight into our biases. For example, if we are strongly motivated by empathic concern, we might be biased toward mostly helping cute-looking beings who appeal to our empathy circuits, like kittens and squirrels, and toward downplaying the interests of beings who may look less cute, such as lizards and cockroaches. And note that such a bias can persist even if we are also motivated by impartiality at some level. Indeed, it is a recipe for bias to think that a mere cerebral endorsement of impartiality means that we will thereby adhere to impartiality at every level of our cognition. A better awareness of our moral motivations may help us avoid such naive mistakes.

Clarification

I should clarify that this post is not meant to capture everyone’s moral motivations, nor is my aim to convince people to embrace all the motivations I outline below. Rather, my intention is first and foremost to present the moral motivations that I myself am compelled by, and which all to some extent drive me to try to reduce suffering. That being said, I do suspect that many of these motivations will tend to resonate with others as well.

Compassion

Compassion has been defined as “sympathetic consciousness of others’ distress together with a desire to alleviate it”. This is similar to having empathic concern for others (compassion is often regarded as a component of empathic concern).

In contrast to some of the other motivations listed below, compassion is less cerebral and more directly felt as a motivation for helping others. For example, when we experience sympathy for someone’s misery, we hardly need to go through a sequence of inferences in order to be motivated to alleviate that misery. The motivation to help is almost baked into the sympathy itself. Indeed, studies suggest that empathic concern is a significant driver of costly altruism.

In my own case, I think compassion tends to play an important role, though I would not claim that it is sufficient or even necessary for motivating the general approach that I would endorse when it comes to helping others. One reason it is not sufficient is that it needs to be coupled with a more systematic component, which I would broadly refer to as ‘consistency’.

Consistency

As a motivation for helping others, consistency is rather different from compassion. For example, unlike compassion, consistency is cerebral in nature, to the degree that it almost has a logical or deductive character. That is, unlike compassion, consistency per se does not highlight others’ suffering or welfare from the outset. Instead, efforts to help others are more a consequence of applying consistency to our knowledge about our own direct experience: I know that intense suffering feels bad and is worth avoiding for me (all else equal), and hence, by consistency, I conclude that intense suffering feels bad and is worth avoiding for everyone (all else equal).

One might object that it is not inconsistent to view one’s own suffering as being different from the suffering of others, such as by arguing that there are relevant differences between one’s own suffering and the suffering of others. I think there are several points to discuss back and forth on this issue. However, I will not engage in such arguments here, since my aim in this section is not to defend consistency as a moral motivation, but simply to present a rough outline as to how consistency can motivate efforts to help others.

As noted above, a consistency-based motivation for helping others does not strictly require compassion. However, in psychological terms, since none of us are natural consistency-maximizers, it seems likely that compassion will usually be helpful for getting altruistic motivations off the ground in practice. Conversely, as hinted in the previous section, compassion alone is not sufficient for motivating the most effective actions for helping others. After all, one can have a strong desire to reduce suffering without having the consistency-based motivation to treat equal suffering equally and to spend one’s limited resources accordingly.

In short, the respective motivations of compassion and consistency seem to each have unique benefits that make them worth combining, and I would say that they are both core pillars in my own motivations for helping others.

Common sense: A trivial sacrifice compared to what others might gain

Another motivation that appeals to me might be described as a commonsense motivation. That is, there is a vast number of sentient beings in the world, of which I am just one, and hence the beneficial impact that I can have on other sentient beings is vastly greater than the beneficial impact I can have on my own life. After all, once my own basic needs are met, there is probably little I can do to improve my wellbeing further. Indeed, I will likely find it more meaningful and fulfilling to try to help others than to try to improve my own happiness (cf. the paradox of hedonism and the psychological benefits of having a prosocial purpose).

Of course, it is difficult to quantify just how much greater our impact on others might be compared to our impact on ourselves. Yet given the enormous number of sentient beings who exist around us, and given that our impact potentially reaches far into the future, it is not unreasonable to think that it could be greater by at least a factor of a million (e.g. we may prevent a million times as many instances of similarly bad suffering in expectation for others than for ourselves). Indeed, I think that a factor of around a billion is more plausible (again, in expectation, relative to the difference we can make for ourselves when our basic needs are already met).

In light of this massive difference in potential impact, it feels like a no-brainer to dedicate a significant amount of resources toward helping others, especially when my own basic needs are already met. Not doing so would amount to giving several orders of magnitude greater importance to my own wellbeing than to the wellbeing of others, and I see no justification for that. Indeed, one need not endorse anything close to perfect consistency and impartiality to believe that such a massively skewed valuation is implausible. It is arguably just common sense.

The horror of extreme suffering: The “game over” motivation

A particularly strong motivation for me is the sheer horror of extreme suffering. I refer to this as the “game over” motivation because that is my reaction when I witness cases of extreme suffering: a clear sense that nothing is more important than the prevention of such extreme horrors. Game over.

One might argue that this motivation is not distinct from compassion and empathic concern in the broadest sense. And I would agree that it is a species of that broad category of motivations. But I also think there is something distinctive about this “game over” motivation compared to generic empathic concern. For example, the “game over” motivation seems meaningfully different from the motivation to help someone who is struggling in more ordinary ways. In fact, I think there is a sense in which our common circuitry of sympathetic relating practically breaks down when it comes to extreme suffering. The suffering becomes so extreme and unthinkable that our “sympathometer” crashes, and we in effect check out. This is another reason it seems accurate to describe it as a “game over” motivation.

Where the motivations listed above all serve to motivate efforts to help others in general, the motivation described in this section is more of a driver as to what, specifically, I consider the highest priority when it comes to helping others, namely to alleviate and prevent extreme suffering.

Personal identity: I am them

Another motivation derives from what may be called a universal view of personal identity, also known as open individualism. This view entails that all sentient beings are essentially different versions of you, and that there is no deep sense in which the future consciousness-moments of your future self (in the usual narrow sense) is more ‘you’ than the future consciousness-moments of other beings.

Again, I will not try to defend this view here, as opposed to just describing how it can motivate efforts to help others (for a defense, see e.g. Kolak, 2004; Leighton, 2011, ch. 7; Vinding, 2017).

I happen to accept this view of personal identity, and in my opinion it ultimately leaves no alternative but to work for the benefit of all sentient beings. In light of open individualism, it makes no more sense to endorse narrow egoism than to, say, only care about one’s own suffering on Tuesdays. Both equally amount to an arbitrary disregard of my own suffering from an open individualist perspective.

This is one of the ways in which my motivations for helping others are not necessarily all that flattering: on a psychological level, I often feel that I am selfishly trying to prevent future versions of myself from being tortured, virtually none of whom will share my name.

I would say that the “I am them” motivation is generally a strong driver for me, not in a way that changes any of the basic upshots derived from the other motivations, but in a way that reinforces them.

Fairness

Considerations and intuitions related to fairness are also motivating to me. For example, I am lucky to have been born in a relatively wealthy country, and not least to have been born as a human rather than as a tightly confined chicken in a factory farm or a preyed-upon mouse in the wild. There is no sense in which I personally deserve this luck over those who are born in conditions of extreme misery and destitution. Consequently, it is only fair that I “pay back” my relative luck by working to help those beings who were or will be much less lucky in terms of their birth conditions and the like.

I should note that this is not among my stronger or more salient motivations, but I still think it has significant appeal and that it plays some role for me.

Status and recognition

Lastly, I want to highlight the motivation that any cynic would rightly emphasize, namely to gain status and recognition. Helping others can be a way to gain recognition and esteem among our peers, and I am obviously also motivated by that.

There is quite a taboo around acknowledging this motive, but I think that is a mistake. It is simply a fact about the human mind that we want recognition, and this is not necessarily a problem in and of itself. It only becomes a problem if we allow our drive for status to corrupt our efforts to help others, which is no doubt a real risk. Yet we hardly reduce that risk by pretending that we are unaffected by these drives. On the contrary, openly admitting our status motives probably gives us a better chance of mitigating their potentially corrupting influence.

Moreover, while our status drives can impede our altruistic efforts, we should not overlook the possibility that they might sometimes do the opposite, namely improve our efforts to help others.

How could that realistically happen? One way it might happen is by forcing us to seek out the assessments of informed people. That is, if our altruistic efforts are partly driven by a motive to impress relevant experts and evaluators of our work, we might be more motivated to consider and integrate a wider range of informed perspectives (compared to if we were not motivated to impress such evaluators).

Of course, this only works if we are indeed motivated to impress an informed audience, as opposed to just any audience that may be eager to throw recognition after us. Seeking the right audience to impress — those who are impressed by genuinely helpful contributions — might thus be key to making our status drives work in favor of our altruistic efforts rather than against them (cf. Hanson, 2010; 2018). 

Another reason to believe that status drives can be helpful is that they have proven to be psychologically potent for human beings. Hence, if we could hypothetically rob a human brain of its status drives, we might well reduce its altruistic drives overall, even if other sources of altruistic motivation were kept intact. It might be tantamount to removing a critical part of an engine, or at least a part that adds a significant boost.

In terms of my own motivations, I would say that drives for status often do help motivate my altruistic efforts, whether I endorse my status drives or not. Yet it is difficult to estimate the strength and influence of these drives. After all, the status motive is regarded as unflattering, and hence there are reasons to think that my mind systematically downplays its influence. Moreover, like all of the motivations listed here, the status motive probably varies in strength depending on contextual factors, such as whether I am around other people or not; I suspect that it becomes weaker when I am more isolated, which in effect suggests a way to reduce my status drives when needed.

I should also note that I aspire to view my status drives with extreme suspicion. Despite my claims about how status drives could potentially be helpful, I think the default — if we do not make an intense effort to hone and properly direct our status drives — is that they distort our efforts to help others. And I think the endeavor of questioning our status drives tends to be extremely difficult, not least since status-seeking behavior can take myriad forms that do not look or feel like status-seeking behavior at all. It might just look like “conforming to the obviously reasonable views of my peers”, or like “pursuing this obscure and interesting idea that somehow feels very important”.

So a key question I try to ask myself is: am I really trying to help sentient beings, or am I mostly trying to raise my personal status? And I strive to look at my professed answers with skepticism. Fortunately, I feel that the “I am them” motivation can be a powerful tool in this regard. It essentially forces the selfish parts of my mind to ask: do I really want to gain status more than I want to prevent my future self from being tortured? If not, then I have strong reasons to try to reduce any torture-increasing inefficiencies that might be introduced by my status motives, and to try, if possible, to harness my status motives in the direction of reducing my future torment.

Final reflections

The motivations described above make up quite a complicated mix, from other-oriented compassion and fairness to what feels more like a self-oriented motivation aimed at sparing myself (in an expansive sense) from extreme suffering. I find it striking just how diverse these motivations are, and how they nonetheless — from so seemingly different starting points — can end up converging toward roughly the same goal: to reduce suffering for all sentient beings.

For me, this convergence makes the motivation to help others feel akin to a rope that is weaved from many complementary materials: even if one of the strings is occasionally weakened, the others can usually still hold the rope together.

But again, it is worth stressing that the drive for status is somewhat of an exception, in that it takes serious effort to make this drive converge toward aims that truly help other sentient beings. More generally, I think it is important to never be complacent about the potential for our status drives to corrupt our motivations to help others, even if we feel like we are driven by a strong and diverse set of altruistic motivations. Status drives are like the One Ring: powerful yet easily corrupting, and they are probably best viewed as such.

What credible UFO evidence?

Some have claimed that the strongest UFO reports are too compelling to be dismissed as mere mistakes (e.g. Hanson, 2023). This has led others to ask what these strongest UFO reports are exactly. Hanson only provides two sources to back up his claim: a full-length documentary by James Fox, titled The Phenomenon (2020), and a full-length book by Leslie Kean, titled UFOs: Generals, Pilots and Government Officials Go On the Record (2010). Yet it is understandable if most people are skeptical toward these sources. After all, those who produce books and documentaries about UFOs may not be fully objective and dispassionate in their reporting. So it is only reasonable to ask for other sources of evidence.

As a skeptic toward Hanson’s claims myself, I have spent some time trying to see if I could find any instances of credible UFO reports. This post is meant to be a collection of the sources and reported observations I could find that seem to reach a certain threshold of credibility, at least in my view. To be clear, the threshold in question is not anything like “this is 100 percent trustworthy and true”, but more like “this seems credible enough to be worthy of further investigation/credible enough to cause us to take this issue more seriously”.

A general point that may be surprising to those who have not looked much into the UFO topic — and something that was quite surprising to me — is that a large number of UFO reports come from esteemed navy pilots with no pre-existing interest in UFOs. Likewise, there are many high-ranking US officials and former officials who take the issue seriously, and who have actively been pushing for further investigation. In other words, many of the key figures talking about UFOs are not the fringe conspiracy theorists that are commonly associated with UFOs in the public imagination, but instead surprisingly reputable people.

I share the following names and reports because I think it is helpful if people are better informed about them. After all, even if none of these reports pertain to any extraordinary phenomena, it still seems helpful if people are familiar with the alleged sightings and reports that arguably constitute the main basis for the modern UFO discourse, such that discussion about the issue can at least proceed in an informed manner.

For some preliminary background on the issue, and on how the discourse around it has changed over the last couple of years, it might be helpful to read the short NPR article “How UFO Sightings Went From Conspiracy Theory To A Serious Government Inquiry”.

People who have shared notable reports

The following are people who have shared what strikes me as fairly credible and update-worthy information:

Notable reports and events

The following are some of the more notable UFO stories:

High-profile people who consider the issue important

In addition to the stories and people listed above, it is worth noting that several high-profile US officials (both former and current ones) have taken the issue seriously. These include:

  • Kirsten Gillibrand, US senator
  • Marco Rubio, US Senator
  • Harry Reid, former US senator
  • John Brennan, former head of the CIA
  • John Podesta, White House chief of staff to Bill Clinton
  • Christopher Mellon, former Deputy Assistant Secretary of Defense for Intelligence in the Clinton and George W. Bush administrations
  • Barack Obama and Mitt Romney have also made statements on the issue:
    • Obama: “There is footage and records of objects in the skies. We don’t know exactly what they are. We can’t explain how they moved, their trajectory. They did not have an easily explainable pattern.”
    • Romney: “I don’t believe they are coming from foreign adversaries. If they were that would suggest they have a technology that is in a whole different sphere than anything we understand, and frankly China and Russia just aren’t there, and neither are we by the way.”

Likewise, it is worth noting that various academics and intelligence analysts have taken the issue seriously. Besides Robin Hanson mentioned above (who has done various podcasts on the issue), these include:

  • James E. McDonald, senior physicist at the Institute for Atmospheric Physics and a professor of meteorology at the University of Arizona (see e.g. his statement here)
  • J. Allen Hynek, professor of astronomy at Ohio State University, initial debunker who gradually changed his mind while serving as scientific advisor to various UFO studies conducted by the US Air Force
  • Peter A. Sturrock, professor emeritus of applied physics at Stanford University
  • Richard F. Haines, former researcher at NASA and associate professor of psychology at San Jose State University, creator of a large archive of UFO sightings
  • Kevin H. Knuth, associate professor of physics and informatics at University at Albany
  • Garry Nolan, professor at Stanford University School of Medicine
  • Tyler Cowen, professor of economics at George Mason University
  • Alexander Wendt, professor of political science at Ohio State University
  • Marik Von Rennenkampff, former intelligence analyst in the U.S. Department of State’s Bureau of International Security and Nonproliferation
  • Daniel Coumbe, research associate at the Niels Bohr Institute in Copenhagen, author of Anomaly: A Scientific Exploration of the UFO Phenomenon (review)

More broadly, in a survey conducted among US academics spanning 14 disciplines and 144 universities, a majority of respondents said that they were at least moderately curious about the topic of UFO/UAP. The survey also asked people whether they or someone close to them had observed anything of unknown origin that “might fit the United States government’s definition of UAP”, to which 18.9 percent said ‘yes’ and another 8.7 percent said ‘maybe’. Yet it should be noted that the survey was sent to nearly 40,000 academics by email, of whom only 1,549 answered, so there are likely strong selection effects in these results.

Recurrent patterns

Lastly, it is worth mentioning that there are some striking commonalities across many of the reports mentioned above. Specifically, the objects that are reported are often claimed to be:

  • Almost or entirely silent
  • Able to fly and navigate without any visible means of propulsion or steering
  • Able to hover in a perfectly stationary position
  • Able to accelerate rapidly and to travel at very high speeds (often above 10,000 km/hour), yet without causing a sonic boom
  • Able to change direction near-instantaneously

From Iran and China to Peru and Braziland across time — these features are surprisingly recurrent in UFO reports (see also Knuth et al, 2019; Knuth, 2022). Another pattern is that the UFO reports are often connected to nuclear facilities (e.g. in Iran and in various incidents in the US, allegedly also in recent times). Moreover, the unidentified objects are frequently claimed to be orbs (in around 50 percent of recent reports), and they are typically reported to measure 1-4 meters in diameter.

It is difficult to know what to make of these patterns. Of course, there is good reason to be extremely skeptical of such a priori unlikely features, let alone the combination of many such features. But the fact that these features and abilities are often mentioned in UFO reports by professional aviators — people who are well aware that these are crazy unlikely and bizarre abilities — is arguably some reason to think that there really are objects that possess these abilities. At the very least, it raises the challenge of explaining why pilots across different nations and different eras would converge to report these same bizarre patterns. I myself am genuinely agnostic and puzzled.

Minimalist versions of objective list theories of wellbeing

My colleague Teo Ajantaival is currently writing an essay on minimalist views of wellbeing, i.e. views according to which wellbeing ultimately consists in the minimization of one or more sources of illbeing. My aim in this post is to sketch out a couple of related points about objective list theories of wellbeing.

I should note that objective list theories of wellbeing are not necessarily the ones that I myself consider most plausible, but I still think it is worth highlighting how one can endorse minimalist versions of objective list views, which are arguably the most plausible versions of these views.


Contents

  1. Objective list theories of wellbeing
  2. Harms of premature death
  3. A possible foundation for a negative utilitarian view
  4. Concluding remarks

Objective list theories of wellbeing

In their typical formulations, objective list theories say that wellbeing consists in having a variety of objective goods in one’s life. These purported objective goods could include knowledge, health, virtuous conduct, personal achievements, and autonomy. Note that a key claim of objective list views is that these purported goods contribute independently to a person’s wellbeing, and not merely by means of satisfying our desires or improving our hedonic states.

Minimalist versions of objective list theories can be largely equivalent to standard versions of these theories, in the sense that they may include essentially the same list of objective goods, except that these “goods” are construed in terms of the absence of bads. That is, minimalist versions of objective list theories understand wellbeing as consisting in the absence of objective bads, rather than consisting in the presence of objective goods (which do not exist on the minimalist conception of wellbeing).

For example, rather than seeing autonomy as an objective good that can bring our wellbeing above some neutral level, the absence of autonomy is seen as an objective bad that detracts from our wellbeing, placing us below a neutral or unproblematic state of wellbeing; and having full autonomy can at most bring us to an untroubled or unproblematic level of wellbeing.

Similarly, rather than seeing health as an objective good that takes us above a neutral or unproblematic state, the lack of health is seen as an objective bad, and complete health can at most bring us to an untroubled level of wellbeing. Rather than seeing virtue as an objective good that contributes positively to wellbeing, vice is seen as an objective bad that contributes negatively, and virtue may be understood as the mere absence of vice (cf. Kupfer, 2011; Knutsson, 2022, sec. 4). And so on for any other purported objective good.

Harms of premature death

It is worth noting that minimalist versions of objective list views can support the view that premature death is bad, and they can do so in many ways. For not only may these views consider premature death to be bad because it entails many other objective bads (e.g. death would prevent us from completing our life projects), but these views may also see premature death itself as an objective bad. Minimalist objective list views may thus see a far greater harm in death than do more optimistic views of wellbeing.

A possible foundation for a negative utilitarian view

Note also how these minimalist views could be incorporated into a version of utilitarianism that might be more intuitive than most other forms of utilitarianism. That is, minimalist objective list views could form the basis of a negative utilitarian view that says that we ought to minimize illbeing, understood as the minimization of the independent bads that contribute to illbeing.

Such views can avoid many of the counterintuitive implications of classical utilitarianism — e.g. that we should force people to bring about new happy beings in hypothetical worlds where nobody wants to create such beings, even at the price of increasing extreme suffering — while also avoiding the conclusion that early death is always morally best for any individual’s own sake in isolation, as implied by some other forms of negative utilitarianism.

Of course, minimalist theories of wellbeing are not tied to any particular view of ethics, but this ethics-related point seems worth stressing since discussions of negative utilitarianism often overlook the possibility of basing utilitarianism on the theories of wellbeing outlined above.

Concluding remarks

My aim in this post has not been to provide arguments in favor of minimalist objective list theories over competing “objective goods” theories of wellbeing. Such arguments could seek to establish that it is more plausible that the purported objective goods found in objective list theories are in fact objective bads to be avoided, or they could seek to establish that purported objective goods only contribute instrumentally to wellbeing by reducing objective bads. Yet such arguments are beyond the scope of this brief post, whose aim has been of a more modest nature, namely to draw attention to a group of minimalist views that is often overlooked.

Minimalist views can be construed in many different ways and can accommodate a wide range of intuitions, which makes them a far richer and more flexible class of views than is commonly acknowledged. Consequently, it is worth avoiding the common mistake of dismissing all minimalist views with reference to arguments that only apply to a relatively narrow subset of these views.

Essays on Suffering-Focused Ethics

Essays on Suffering-Focused Ethics is a collection of 34 essays that explore various questions related to the reduction of suffering. Some of the essays provide novel arguments in favor of suffering-focused moral views, while others explore urgent practical questions about how we can best reduce the torment of sentient beings. Taken together, these essays make the case for a principled yet nuanced approach to the prevention of extreme suffering.

Free download: Amazon, Smashwords, Apple Books, Barnes & Noble, Kobo, Scribd, Thalia



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