Tag Archives: Philosophy

Chalmers Reply #2

In April 2010 I commented on David Chalmers’ singularity paper:

The natural and common human obsession with how much [robot] values differ overall from ours distracts us from worrying effectively. … [Instead:]
1. Reduce the salience of the them-us distinction relative to other distinctions. …
2. Have them and us use the same (or at least similar) institutions to keep peace among themselves and ourselves as we use to keep peace between them and us.

I just wrote a 3000 word new comment on this paper, for a journal. Mostly I complain Chalmers didn’t say much beyond what we should have already known. But my conclusion is less meta:

The most robust and promising route to low cost and mutually beneficial mitigation of these [us vs. superintelligence] conflicts is strong legal enforcement of retirement and bequest contracts. Such contracts could let older generations directly save for their later years, and cheaply pay younger generations to preserve old loyalties. Simple consistent and broad-based enforcement of these and related contracts seem our best chance to entrench the enforcement of such contracts deep in legal practice. Our descendants should be reluctant to violate deeply entrenched practices of contract law for fear that violations would lead to further unraveling of contract practice, which threatens larger social orders built on contract enforcement.

As Chalmers notes in footnote 19, this approach is not guaranteed to work in all possible scenarios. Nevertheless, compare it to the ideal Chalmers favors:

AI systems such that we can prove they will always have certain benign values, and such that we can prove that any systems they will create will also have those values, and so on … represents a sort of ideal that we might aim for (p.35).

Compared to the strong and strict controls and regimentation required to even attempt to prove that values disliked by older generations could never arise in any later generations, enforcing contracts where older generations pay younger generations to preserve specific loyalties seems to me a far easier, safer and more workable approach, with many successful historical analogies on which to build.

GD Star Rating
loading...
Tagged as: , ,

Sleeping Beauty’s Assistant

The Sleeping Beauty problem:

Sleeping Beauty goes into an isolated room on Sunday and falls asleep. Monday she awakes, and then sleeps again Monday night. A fair coin is tossed, and if it comes up heads then Monday night Beauty is drugged so that she doesn’t wake again until Wednesday. If the coin comes up tails, then Monday night she is drugged so that she forgets everything that happened Monday – she wakes Tuesday and then sleeps again Tuesday night. When Beauty awakes in the room, she only knows it is either heads and Monday, tails and Monday, or tails and Tuesday. Heads and Tuesday is excluded by assumption. The key question: what probability should Beauty assign to heads when she awakes?

The literature is split: most answer 1/3, but some answer 1/2 (and a few give other answers). Here an interesting variation:

Imagine sleeping beauty has a (perhaps computer-based) assistant. Like Beauty, the assistant’s memory of Monday is erased Monday night, but unlike Beauty, she is not kept asleep on Tuesday, even if the coin comes up heads. So when Beauty is awake her assistant is also awake, and has exactly the same information about the coin as does beauty. But the assistant also has the possibility of waking up to see Beauty asleep, in which case the assistant can conclude that it is definitely heads on Tuesday. The key question: should Beauty’s beliefs differ from her assistant’s?

Since the assistant knows that she might awake to see Beauty asleep, and conclude heads for sure, the fact that the assistant does not see this clearly gives her info. This info should shift her beliefs away from heads, with the assistant’s new belief in heads being less than half. (If she initially assigned an equal chance to waking Monday versus Tuesday, her new belief in heads is one third.) And since when Beauty awakes she seems to have exactly the same info as her assistant, Beauty should also believe less than half.

I can’t be bothered to carefully read the many papers on the Sleeping Beauty problem to see just how original this variation is. Katja tells me it is a variation on an argument of hers, and I believe her. But I’m struck by a similarity to my argument for common priors based on the imagined beliefs of a “pre-agent” who existed before you, uncertain about your future prior:

Each agent is asked to consider the information situation of a “pre-agent” who is not sure which agents will get which priors. Each agent can have a different pre-agent, but each agent’s prior should be consistent with his pre-agent’s “pre-prior,” in the sense that the prior equals the pre-prior conditional on the key piece of information that distinguishes them: which agents actually get which priors. The main result is that an agent can only have a different prior if his pre-agent believed the process that produced his prior was special. (more)

I suggest we generalize these examples to a rationality principle:

The Assistant Principle: Your actual beliefs should match those of some imaginable rational (perhaps computer-based) assistant who lived before you, who will live after you, who would have existed in many other states than you, and who came to learn all you know when you learned it, but was once highly uncertain.

That is, there is something wrong with your beliefs if there is no imaginable assistant who would now have exactly your beliefs and info, but who also would have existed before you, knowing less, and has rational beliefs in all related situations. Your beliefs are supposed to be about the world out there, and only indirectly about you via your information. If your beliefs could only make sense for someone who existed when and where you exist, then they don’t actually make sense.

Added 8a: Several helpful commenters show that my variation is not original – which I consider to be a very good thing. I’m happy to hear that academia has progressed nicely without me! :)

GD Star Rating
loading...
Tagged as: ,

What Is “Belief”?

Richard Chappell has a couple of recent posts on the rationality of disagreement. As this fave topic of mine appears rarely in the blogsphere, let me not miss this opportunity to discuss it.

In response to the essential question “why exactly should I believe I am right and you are wrong,” Richard at least sometimes endorses the answer “I’m just lucky.” This puzzled me; on what basis could you conclude it is you and not the other person who has made a key mistake? But talking privately with Richard, I now understand that he focuses on what he calls “fundamental” disagreement, where all parties are confident they share the same info and have made no analysis mistakes.

In contrast, my focus is on cases where parties assume they would agree if they shared the same info and analysis steps.  These are just very different issues, I think.  Unfortunately, they appear to be more related than they are, because of a key ambiguity in what we mean by “belief.”  Many common versions of this concept do not “carve nature at the relevant joints.”  Let me explain.

Every decision we make is influenced by a mess of tangled influences that can defy easy classification. But one important distinction, I think, is between (A) influences that come most directly from inside of us, i.e., from who we are, and (B) influences that come most directly from outside of us. (Yes, of course, indirectly each influence can come from everywhere.) Among outside influences, we can also usefully distinguish between (B1) influences which we intend to track the particular outside things that we are reasoning about, from (B2) influences that come from rather unrelated sources.

For example, our attitude toward rain soon might be influenced by (A) our dark personality, that makes us expect dark things, and from (B1) seeing dark clouds, which is closely connected to the processes that make rain.  Our attitude toward rain might also be influenced by (B2) broad social pressures to make weather forecasts match the emotional mood of our associates, even when this has little relation to if there will be rain.

Differing attitudes between people on rain soon is mainly problematic regarding (B1) aspects of our mental attitudes which we intend to have track that rain. Yes of course if we are different inside, and are ok with remaining different in such ways, then it is ok for our decisions to be influenced by such differences. But such divergence is not so ok regarding the aspects of our minds that we intend to track things outside our minds.

Imagine that two minds intend for certain aspects of their mental states to track the same outside object, but then they find consistent or predictable differences between their designated mental aspects. In this case these two minds may suspect that their intentions have failed. That is, their disagreement may be evidence suggesting that for at least one of them other influences have contaminated mental aspects that person had intended would just track that outside object.

This is to me the interesting question in rationality of disagreement; how do we best help our minds to track the world outside us in the face of apparent disagreements? This is just a very different question from what sort of internal mental differences we are comfortable with having and acknowledging.

Unfortunately most discussion about “beliefs” and “opinions” are ambiguous regarding whether those who hold such things intend for them to just be mental aspects that track outside objects, or whether such things are intended to also reflect and express key internal differences. Do you want your “belief” in rain to just track the chance it will rain, or do you also want it to reflect your optimism toward life, your social independence, etc.?  Until one makes more clear what mental aspects exactly are referred to by the word “belief”, it seem very hard to answer such questions.

This ambiguity also clouds our standard formal theories. Let me explain.  In standard expected-utility decision theory, the two big influences on actions are probabilities and utilities, with probabilities coming from a min-info “prior” plus context-dependent info. Most econ models of decision making assume that all decision makers use expected utility and have the same prior. For example, agents might start with the same prior, get differing info about rain, take actions based on their differing info and values, and then change their beliefs about rain after seeing the actions of others. In such models, info and thus probability is (B1) what comes from outside agents to influence their decisions, while utility (A) comes from inside. Each probability is designed to be influenced only by the thing it is “about,” minimizing influence from (A) internal mental features or (B2) unrelated outside sources.

In philosophy, however, it is common to talk about the possibility that different people have differing priors. Also, for every set of consistent decisions one could make, there are an infinite number of different pairs of probabilities and utilities that produce those decisions. So one can actually model any situation with several expected-utility folks making decisions as either one with common priors or with uncommon priors.

Thus in contrast to the practice of most economists, philosophers’ use of “belief” (and “probability” and “prior”) confuses or mixes (A) internal and (B) external sources of our mental states. Because of this, it seems pointless for me to argue with philosophers about whether rational priors are common, or whether one can reasonably have differing “beliefs” given the same info and no analysis mistakes. We would do better to negotiate clearer language to talk about the parts of our mental states that we intend to track what our decisions are about.

Since I’m an economist, I’m comfortable with the usual econ habit of using “probability” to denote such outside influences intended to track the objects of our reasoning.  (Such usage basically defines priors to common.) But I’m willing to cede words like “probability”, “belief” or “opinion” to other purposes, if other important connotations need to be considered.

However, somewhere in our lexicon for discussing mental states we need words to refer to something like what econ models usually mean by “probabilities”, i.e., aspects of our mental states that we intend to track the objects of our reasoning, and to be minimally influenced by other aspects of our mental states.

(Of course all this can be applied to “beliefs” about our own minds, if we consider influences coming from our minds as if it were something outside.)

GD Star Rating
loading...
Tagged as: , ,

Bad News: Kant & Bets

The famous philosopher Kant saw bets as encouraging thoughtfulness and discouraging self-deception:

The usual touchstone of whether what someone asserts is mere persuasion or at least a subjective conviction, i.e., firm belief, is betting. Often someone pronounces his propositions with such confident and inflexible defiance that he seems to have entirely laid aside all concern for error. A bet disconcerts him. Sometimes he reveals that he is persuaded enough for one ducat but not for ten. For he would happily bet one, but at ten he suddenly becomes aware of what he had not previously noticed, namely that it is quite possible that he has erred. (Critique of Pure Reason, A824/B852; more; HT Tyler)

If we were to see life out there in the universe, at or below our level of development, that would be bad news regarding our future.  It would suggest that more of the great filter that stands between dead matter and expanding civilization lies ahead of our place on that path. Similarly, it is bad news to hear that Kant had a high opinion of the accuracy advantages of bets.  Let me explain.

I hope for a future where betting markets are a commonly used mechanism to create official consensus beliefs, but I must explain the fact that they are not already often used this way.  What barriers have stood in their way? One barrier is widespread skepticism about bet accuracy. But hearing of Kant’s well-known position reduces my estimate of this barrier; many respected people have long respected bet accuracy. So I must therefore increase my estimate of the difficulty of other barriers.  Alas, since skepticism about accuracy seems one of the easiest barriers to overcome, via track records and lab experiments, I must increase my estimate of the overall difficulty of my goal.  I’ll keep trying though.

GD Star Rating
loading...
Tagged as: , ,

How To Doubt

Doubting conventional wisdom seems pretty central to my style and central issues. So I took some time to ponder the general issue of doubt. Here’s what I came up with.

The relation between confident and doubtful states of belief is like that between the three corners of a triangle and the points within the area of the triangle. Even though there are far more area points than corner points, area points are more similar to each other, in a distance sense. In the same way, there are far more states of doubt than confidence, yet states of doubt are more similar to each other, in that they lead to similar decisions.

What can you do about serious skepticism, i.e., the possibility that you might be quite mistaken on a great many of your beliefs? For this, you might want to consider which of your beliefs are the most reliable, in order to try to lean more on those beliefs when fixing the rest of your beliefs. But note that this suggests there is no general answer to what to do about doubt – the answer must depend on what you think are actually your most reliable beliefs.

When seeking your most reliable beliefs, to help fix other beliefs, you might be tempted to just consider simple beliefs like “George is my friend” or “carrots are orange.” But you may do better to rely on your less often stated beliefs that it is quite unlikely for a great many of your “independently” generated beliefs to all be mistaken.

That is, our most potent beliefs for dealing with doubt are often our beliefs about the correlations between errors in other beliefs. This is because having low error correlations can imply that related averages and aggregates are very reliable. For example, if there is little correlation in the errors your eyes make under different conditions in judging brightness, then you need only see the same light source under many conditions to get a reliable estimate of its brightness.

Since beliefs about low error correlations can support such strong beliefs on aggregates, in practice doubt about one’s beliefs often focuses on doubts about the correlations in one’s belief errors. If we guess that a certain set of errors have low correlation, but worry that they might really have a high correlation, it is doubts about such hidden correlations that threaten to infect many other beliefs.

So then what do we actually worry about, when we worry that our belief errors might be correlated? It seems to me that we mainly worry about two sources of correlated error:

  • Hidden psychological tendencies: We worry that our mind are built in such a way as to give related errors on what appear to be unrelated topics. Our minds might, for example, be biased toward high estimates of our ability, for many kinds of unrelated abilities.
  • Hidden social coordination: We worry that our social groups coordinate so as to give related errors from what appear to be unrelated social sources. Sources that share a common ideology might, for example, make similar errors on diverse topics.

Most academic consideration of radical skepticism happens in philosophy. But the above analysis suggests that if you were serious about actually doubting, instead of just discussing doubt, you’d want to study psychology and social sciences, especially hidden psychological biases and social coordination. Getting a grip on these subjects might position you well to actually consider the possibility that you might in fact be quite mistaken about a great deal.

Of course once you do understand psych and socsci, there is no guarantee that such understanding enables you to, on your own, powerfully address your doubts.  If fact, you may end up agreeing with me that our best approach is for would-be doubters to coordinate to support new institutions that better reward correction of error, especially correlated error.  I refer of course to prediction markets.

In sum: States of doubt are diverse, yet lead to similar decisions, relative to states of confidence. To productively doubt, you’ll want to identify beliefs in which you have greater confidence. When your belief errors have low correlation, you can have quite high confidence in certain aggregate beliefs. So doubts about belief error correlations are central to real skepticism. Since most doubts about correlations seem to arise from concerns about hidden mental tendencies and social coordination, a serious doubter will give those topics the most attention. And an ambitious doubter might join me in supporting something like prediction markets.

GD Star Rating
loading...
Tagged as: , , ,

Meat Philosophy

[We] surveyed several hundred philosophers and non-philosophers on their opinions about various moral issues; we also asked survey respondents to describe their own behavior on those same issues. … The biggest divergences in moral opinion concerned our question about “regularly eating the meat of mammals such as beef and pork”. 60% of ethics professor respondents rated mammal-meat consumption as morally bad, compared to 45% of non-ethicist philosophers and just 19% of non-philosophers. Opinion also divided by gender and age. … Fully 81% of female philosophers born in 1960 or later said it was morally bad to regularly eat the meat of mammals. To put this degree of consensus in perspective, … only 82% of philosophers endorsed non-skeptical realism about the existence of an external world. …

38% of [young female philosophers] reported having eaten the meat of a mammal at their previous evening meal — a rate not statistically different from the 39% reported rate among respondents overall. … Similarly, despite the difference in normative view, there was no statistically detectable difference in the mean age of respondents who said they had eaten the meat of a mammal at their previous evening’s meal. … 78% of those who reported that they never eat mammal meat said eating mammal meat is bad, compared to 32% of those who reported sometimes eating meat. However, it seems that among non-vegetarians there is little if any relationship between normative ethical view and actual meat consumption. (more; HT Stefano Bertolo)

So why, among all the moral issues on which one could be hypocritical, and people which could be hypocritical, is the observed worst case young female philosophers on eating meat?

GD Star Rating
loading...
Tagged as: , , , ,

Am I A Sim?

The simulation argument says that IF you:

  1. expect a substantial chance Q of our civilization surviving a long time,
  2. given survival, expect a vast number V of subjective years of experience by future descendants, in total across the whole future,
  3. expect them to spend a substantial fraction F of their per-person-subjective-year resources R running simulations of their distant past, for entertainment, research, or other purposes,
  4. expect a fraction A of such sim resources to go to sim this our current year, 2010, on Earth, and
  5. expect a fraction B of these 2010 sim resources to go to sim fully conscious humans unaware they are in a sim, where each such creature costs on average C per subjective year of experience.

THEN you should expect there will be on average of N = A*B*Q*V*F*R/C sim creatures who assume they are humans living in 2010. If your N >> 1010 (current human population), then unless there is some particular reason to think your life is much less likely than average to be the sort of life that a sim lives, you should strongly expect that you are such a creature; you are a sim.  (Of course you should then question how much you know about the sort of universe you live in, which may change your N estimate. Even so that probably won’t drastically reduce your estimated chance you are a sim.)

For example, if Q = 10-2, V = 1030, F = 10-4, A = 10-9, B = 10-2, R/C = 101, then N = 1014; you are a sim.

While I published back in ’01 on how to live your life differently if you might be a sim, it took Charlie Stross pondering the topic recently to remind me that I’ve never fully engaged the argument, by trying to come up with my own best estimate of N.  So what do I think?

Let’s break it down by purpose.  First, consider entertainment.  Even compared to other humans, we today spend record large fractions of our income on tv, movies and video games; we are in the process of reacting to the development of unprecedented hyper-stimuli.  Humans in general are also clearly unusual compared to other animals, who spend almost nothing on anything sim-like.  And humans are mainly interested in simulations of other humans; we hardly have movies or games about monkey life.

So if our descendants become better adapted to their new environment, they are likely to evolve to become rather different from us, so that they spend much less of their income on sim-like stories and games, and what sims they do like should be overwhelmingly of creatures much like them, which we just aren’t. Furthermore, if such creatures have near subsistence income, and if a fully conscious sim creature costs nearly as much to support as future creatures cost, entertainment sims containing fully conscious folks should be rather rare.

Now, consider academic study of history.  Once economic growth and tech innovation slows to a near halt, I expect far less interest in learning new things, which includes learning new history.  The little learning that remains should mostly be done to signal future folk good features, and so they’ll much prefer to pay one future person to think carefully about the past, rather than spend similar resources to sim one person from the distant past.

Full scale simulations of the entire Earth over many years should be very rare, and perhaps non-existent. Similar understanding would come much cheaper from sims that only model a few people in enough detail to make them fully conscious.  Modeling a few such folks in detail and then having most other modeled folks just act in ways that are statistically similar to those few detailed folks is probably good enough for most purposes. Perhaps there will be other reasons to run sims containing fully conscious creatures, but I expect those to be even more rare.

Bottom line: I expect R/C near one, even if Q=1, and expect A*B*F to be smaller than 1010/V. So, I’m probably not a sim.

GD Star Rating
loading...
Tagged as: ,

Very Bad News

Back in ’98 I considered the “doomsday argument”:

A creative argument [suggests] “doom” is more likely than we otherwise imagine. … [Consider] the case of finding yourself in an exponentially growing population that will suddenly end someday. Since most of the members will appear just before the end, you should infer that that end probably isn’t more than a few doubling times away from now.

I didn’t buy it (nor did Tyler):

Knowing that you are alive with amnesia tells you that you are in an unusual and informative situation. … The mere fact that you exist would seem to tell you a lot.

I instead embraced “self-indication analysis”, which blocks the usual doomsday argument.  In ’08 I even suggested self-indication helps explain time-asymmetry:

Even if we knew everything about what will happen where and when in the universe, we could still be uncertain about where/when we are in that universe. … [So] we need … a prior which says where/when we should expect to find ourselves, if we knew the least possible about that topic. …  Self-indication … says … you should … expect more to find yourself in universes that have many slots for creatures like you. …

Given self-indication we should expect to be in a finite-probability universe with nearly the max possible number of observer-moment slots.  … [which] seem large enough to have at least one inflation origin, which then implies … large regions of time-asymmetry.

Alas, Katja Grace had just shown that, given a great filter, self-indication implies doom!  This is the great filter:

Humanity seems to have a bright future, i.e., a non-trivial chance of expanding to fill the universe with lasting life. But the fact that space near us seems dead now tells us that any given piece of dead matter faces an astronomically low chance of begating such a future. There thus exists a great filter between death and expanding lasting life, and humanity faces the ominous question: how far along this filter are we?

And here is Katja’s simple argument, in one elegant diagram:

doom

Here are three possible worlds, and within each possible world three different planets are shown on the X axis, while three different times are shown on the Y axis.  The three worlds correspond to three different times when the great filter might occur:  1) before any life, 2) before intelligent life, or 3) before space colonization.

After at first thinking you are in a random box, you update on the fact that your planet recently acquired intelligence, and conclude you are somewhere in the middle row.  Then you update on self-indication, i.e., that you exist, and so are in an orange box.  You conclude you likely live in world 3.  (It has 3/5 of the orange boxes.)  Doom awaits!

The diagram just illustrates the general principle.  As Katja disclaims:

The small number of planets and stages and the concentration of the filter is for simplicity; in reality the filter needn’t be only one unlikely step, and there are many planets and many phases of existence between dead matter and galaxy colonizing civilization.

Alas I now drastically increase my estimate of our existential risk; I am, for example, now far more eager to improve our refuges.  And let’s avoid the common bias to punish the bearers of bad news; Katja deserves our deepest gratitude; fore-warned is fore-armed.

GD Star Rating
loading...
Tagged as: , ,

Big Questions

When young, I imagined that the giants of the intellectual world would be found chipping away at our deepest most important questions.  Sure perhaps most intellectuals would work on practical problems with paying customers, or do less glorious but needed ground work, but the best and the brightest would focus on combining that ground work into deep answers.  Aspiring to high status, I also tried to identify and chip away at deep questions.

Imagine how strange, then, the real world seems to me.  For example, Caltech prof and top science blogger Sean Carroll publishes a well-written book, From Eternity to Here, arguing for his explanation for the arrow of time, clearly one of our deepest questions.  Yet not only are such attempts rare, they get surprising little engagement.  Of the fourteen other blurbs, reviews, and articles (besides mine) listed at the book website, none express an opinion on whether Carroll’s answer is right, much less offer reasons for such an opinion.  Of the six Amazon reviews, two do express an opinion, one by complete-crank Ranger McCoy, and one by Lubos Motl, who says there is no arrow of time problem.  I also found a review by Peter Woit, who rejects the whole idea of a multiverse.  Geez, what does it take to get serious engagement of a proposed answer to a deep question?

If you search for “arrow of time” or “origin time asymmetry” at arxiv.org you’ll find a smattering of papers, but almost no one makes the subject their main focus.  In our real intellectual world, smart ambitious folks find it far easier to signal their ability by working on more mundane ground work or practical questions.  So only a crank focuses their effort on a deep question, inducing people afraid of being confused with cranks to be careful to avoid such questions.  Super bigshots sometimes counter-signal, rambling on about such topics without having given them much thought, just to show that they can.

Kudos to Sean for bucking the trend, and I hope he gets more serious engagement sometime soon.  As I said, his story is consistent, if speculative:

Many of these are far-from-proven conjectures, but still it does all hold together. … Even so, it is very hard to over-emphasize just how far one must project current physics beyond the accuracy with which we have verified it to talk about tiny new universes popping out of quantum fluctuations in empty space at 10-29K.

In the social sciences books that propose answers to deep questions do at least get reviews that engage those proposed answers.  Is that because we actually care more about social science questions?

GD Star Rating
loading...
Tagged as: ,

“Oughts” Are Derived From “Is”

I tire of hearing folks repeat “you cannot derive `ought’ from `is’,” because there is an important sense in which most attempts to derive “ought” are built on “is.”  Let me explain.

An argument for an “ought” is typically built on some set of more basic “obvious” claims that the speaker assumes their audience will accept without argument. Many of those claims have their own supporting arguments somewhere else, but those arguments are also be built on further obvious claims.

Eventually we end up with with a set of basic supporting claims that seem obvious, but which don’t have much in the way of explicit arguments supporting them.  Yes, almost always one of these obvious but not explicitly argued claims is of the “ought” type. So in this sense every “ought” is derived from other “oughts.”

However, a key implicit argument sits behind these obvious unargued supporting claims, namely that those claims seem right. That is, we typically assume that we should believe an “obvious” claim because our subconscious/intuition recommends that we believe such a claim.

Now in order for it to make sense to believe an “ought” claim that seems right to our intuition, we have to at least believe that our intuition tends on average to be right about similar sorts of claims. There is no point in believing our intuition on some topic if it has no consistent relation to the truth there.

But the claim that one’s intuition about a particular “ought” claim correlates with truth on that “ought” claim is itself an “is” claim.  Yes that claim about the reliability of our intuition is itself also mainly supported by noting that this reliability claim seems right to our intuition, but I’m not complaining about that.

I’m instead pointing out that most every attempt to derive an “ought” is based ultimately on “is” claims about the reliability of our intuitions about such more basic “ought” claims.  If we can’t find a coherent way to integrate these “is” claims with the rest of our network of reasonable “is” claims, then we can’t argue coherently for such “ought” claims at all.

(This same argument applies to “wow” claims on beauty; yes every “wow” claim appears derived from other unargued “wows” but the support for those “wows” are key “is” claims on the reliability of our “wow” intuitions.)

GD Star Rating
loading...
Tagged as: ,