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All the ideas for 'The Problem of Empty Names', 'The Metaphysics of Modality' and 'Inference to the Best Explanation (2nd)'

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82 ideas

1. Philosophy / E. Nature of Metaphysics / 2. Possibility of Metaphysics
There must be a plausible epistemological theory alongside any metaphysical theory [Forbes,G]
     Full Idea: No metaphysical account which renders it impossible to give a plausible epistemological theory is to be countenanced.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 9.1)
     A reaction: It is hard to object to this principle, though we certainly don't want to go verificationist, and thus rule out speculations about metaphysics which are beyond any possible knowledge. Some have tried to prove that something must exist (e.g. Jacquette).
2. Reason / A. Nature of Reason / 4. Aims of Reason
Good inference has mechanism, precision, scope, simplicity, fertility and background fit [Lipton]
     Full Idea: Among the inferential virtues commonly cited are mechanism, precision, scope, simplicity, fertility or fruitfulness, and fit with background beliefs.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 08 'the guiding')
     A reaction: [He cites Hempel, Kuhn, Quine, and Newton-Smith] I take the over-arching term 'coherence' to cover much of this, though a bolder hypothesis offers more than mere coherence.
2. Reason / B. Laws of Thought / 4. Contraries
Contrary pairs entail contradictions; one member entails negation of the other [Lipton]
     Full Idea: All pairs of contraries entail a pair of contradictories, since one member of such a pair always entails the negation of the other. P&Q and not-P are contraries, but the first entails P, which is contradictory of not-P.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 09 'Is the best')
4. Formal Logic / B. Propositional Logic PL / 2. Tools of Propositional Logic / a. Symbols of PL
The symbol 'ι' forms definite descriptions; (ιx)F(x) says 'the x which is such that F(x)' [Forbes,G]
     Full Idea: We use the symbol 'ι' (Greek 'iota') to form definite descriptions, reading (ιx)F(x) as 'the x which is such that F(x)', or simply as 'the F'.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 4.1)
     A reaction: Compare the lambda operator in modal logic, which picks out predicates from similar formulae.
5. Theory of Logic / E. Structures of Logic / 2. Logical Connectives / d. and
Is the meaning of 'and' given by its truth table, or by its introduction and elimination rules? [Forbes,G]
     Full Idea: The typical semantic account of validity for propositional connectives like 'and' presupposes that meaning is given by truth-tables. On the natural deduction view, the meaning of 'and' is given by its introduction and elimination rules.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 4.4)
5. Theory of Logic / F. Referring in Logic / 1. Naming / e. Empty names
Unreflectively, we all assume there are nonexistents, and we can refer to them [Reimer]
     Full Idea: As speakers of the language, we unreflectively assume that there are nonexistents, and that reference to them is possible.
     From: Marga Reimer (The Problem of Empty Names [2001], p.499), quoted by Sarah Sawyer - Empty Names 4
     A reaction: Sarah Swoyer quotes this as a good solution to the problem of empty names, and I like it. It introduces a two-tier picture of our understanding of the world, as 'unreflective' and 'reflective', but that seems good. We accept numbers 'unreflectively'.
7. Existence / D. Theories of Reality / 10. Vagueness / d. Vagueness as linguistic
Vagueness problems arise from applying sharp semantics to vague languages [Forbes,G]
     Full Idea: It is very plausible that the sorites paradoxes arose from the application of a semantic apparatus appropriate only for sharp predicates to languages containing vague predicates (rather than from deficiency of meaning, or from incoherence).
     From: Graeme Forbes (The Metaphysics of Modality [1985], 7.3)
     A reaction: Sounds wrong. Of course, logic has been designed for sharp predicates, and natural languages are awash with vagueness. But the problems of vagueness bothered lawyers long before logicians like Russell began to worry about it.
9. Objects / A. Existence of Objects / 5. Individuation / a. Individuation
In all instances of identity, there must be some facts to ensure the identity [Forbes,G]
     Full Idea: For each instance of identity or failure of identity, there must be facts in virtue of which that instance obtains. ..Enough has been said to lend this doctrine some plausibility.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 5.5)
     A reaction: Penelope Mackie picks this out from Forbes as a key principle. It sounds to be in danger of circularity, unless the 'facts' can be cited without referring to, or implicitly making use of, identities - which seems unlikely.
9. Objects / B. Unity of Objects / 3. Unity Problems / d. Coincident objects
If we combined two clocks, it seems that two clocks may have become one clock. [Forbes,G]
     Full Idea: If we imagine a possible world in which two clocks in a room make one clock from half the parts of each, the judgement 'these two actual clocks could have been a single clock' does not seem wholly false.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 7.4)
     A reaction: You would, of course, have sufficient parts left over to make a second clock, so they look like a destroyed clock, so I don't think I find Forbes's intuition on this one very persuasive.
9. Objects / D. Essence of Objects / 3. Individual Essences
Only individual essences will ground identities across worlds in other properties [Forbes,G, by Mackie,P]
     Full Idea: Forbes argues that, unless we posit individual essences, we cannot guarantee that identities across possible worlds will be appropriately grounded in other properties.
     From: report of Graeme Forbes (The Metaphysics of Modality [1985]) by Penelope Mackie - How Things Might Have Been 2.4
     A reaction: There is a confrontation between Wiggins, who says identity is primitive, and Forbes, who says identity must be grounded in other properties. I think I side with Forbes.
An individual essence is a set of essential properties which only that object can have [Forbes,G]
     Full Idea: An individual essence of an object x is a set of properties I which satisfies the following conditions: i. every property P in I is an essential property of x; ii. it is not possible that some object y distinct from x has every member of I.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 5.1)
     A reaction: I am coming to the view that stable natural kinds (like electrons or gold) do not have individual essences, but complex kinds (like tigers or tables) do. The view is based on the idea that explanatory power is what individuates an essence.
Non-trivial individual essence is properties other than de dicto, or universal, or relational [Forbes,G]
     Full Idea: A non-trivial individual essence is properties other than a) those following from a de dicto truth, b) properties of existence and self-identity (or their cognates), c) properties derived from necessities in some other category.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 5.1)
     A reaction: [I have compressed Forbes] Rather than adding all these qualificational clauses to our concept, we could just tighten up on the notion of a property, saying it is something which is causally efficacious, and hence explanatory.
9. Objects / D. Essence of Objects / 5. Essence as Kind
Essential properties depend on a category, and perhaps also on particular facts [Forbes,G]
     Full Idea: The essential properties of a thing will typically depend upon what category of thing it is, and perhaps also on some more particular facts about the thing itself.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 5.1)
     A reaction: I see no way of dispensing with the second requirement, in the cases of complex entities like animals. If all samples are the same, then of course we can define a sample's essence through its kind, but not if samples differ in any way.
9. Objects / D. Essence of Objects / 7. Essence and Necessity / a. Essence as necessary properties
Essential properties are those without which an object could not exist [Forbes,G]
     Full Idea: An essential property of an object x is a property without possessing which x could not exist.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 5.1)
     A reaction: This is certainly open to question. See Joan Kung's account of Aristotle on essence. I am necessarily more than eight years old (now), and couldn't exist without that property, but is the property part of my essence?
9. Objects / D. Essence of Objects / 11. Essence of Artefacts
Artefacts have fuzzy essences [Forbes,G]
     Full Idea: Artefacts can be ascribed fuzzy essences. ...We might say that it is essential to an artefact to have 'most' of its parts.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 7.6)
     A reaction: I think I prefer to accept the idea that essences are unstable things, in all cases. For all we know, electrons might subtly change their general character, or cease to be uniform, tomorrow. Essences explain, and what needs explaining changes.
Same parts does not ensure same artefact, if those parts could constitute a different artefact [Forbes,G]
     Full Idea: Sameness of parts is not sufficient for identity of artefacts at a world, since the very same parts may turn up at different times as the parts of artefacts with different designs and functions.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 7.2)
     A reaction: Thus the Ship of Theseus could be dismantled and turned into a barn (as happened with the 'Mayflower'). They could then be reconstituted as the ship, which would then have two beginnings (as Chris Hughes has pointed out).
9. Objects / E. Objects over Time / 12. Origin as Essential
An individual might change their sex in a world, but couldn't have differed in sex at origin [Forbes,G]
     Full Idea: In the time of a single world, the same individual can undergo a change of sex, but it is less clear that an individual of one sex could have been, from the outset, an individual of another.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 6.5)
     A reaction: I don't find this support for essentiality of origin very persuasive. I struggle with these ideas. Given my sex yesterday, then presumably I couldn't have had a different sex yesterday. Given that pigs can fly, pigs can fly. What am I missing?
9. Objects / F. Identity among Objects / 1. Concept of Identity
Identities must hold because of other facts, which must be instrinsic [Forbes,G, by Mackie,P]
     Full Idea: Forbes has two principles of identity, which we can call the No Bare Identities Principle (identities hold in virtue of other facts), and the No Extrinsic Determination Principle (that only intrinsic facts of a thing establish identity).
     From: report of Graeme Forbes (The Metaphysics of Modality [1985], 127-8) by Penelope Mackie - How Things Might Have Been 2.7
     A reaction: The job of the philosopher is to prise apart the real identities of things from the way in which we conceive of identities. I take these principles to apply to real identities, not conceptual identities.
10. Modality / A. Necessity / 4. De re / De dicto modality
De re modal formulae, unlike de dicto, are sensitive to transworld identities [Forbes,G]
     Full Idea: The difference between de re and de dicto formulae is a difference between formulae which are, and formulae which are not, sensitive to the identities of objects at various worlds.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 3.1)
10. Modality / C. Sources of Modality / 4. Necessity from Concepts
De re necessity is a form of conceptual necessity, just as de dicto necessity is [Forbes,G]
     Full Idea: De re necessity does not differ from de dicto necessity in respect of how it arises: it is still a form of conceptual necessity.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 9.4)
     A reaction: [Forbes proceeds to argue for this claim] Forbes defends a form of essentialism, but takes the necessity to arise from a posteriori truths because of the a priori involvement of other concepts (rather as Kripke argues).
10. Modality / E. Possible worlds / 1. Possible Worlds / c. Possible worlds realism
Unlike places and times, we cannot separate possible worlds from what is true at them [Forbes,G]
     Full Idea: There is no means by which we might distinguish a possible world from what is true at it. ...Whereas our ability to separate a place, or a time, from its occupier is crucial to realism about places and times, as is a distance relation.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 4.2)
     A reaction: He is objecting to Lewis's modal realism. I'm not fully convinced. It depends whether we are discussing real ontology or conceptual space. In the latter I see no difference between times and possible worlds. In ontology, a 'time' is weird.
The problem with possible worlds realism is epistemological; we can't know properties of possible objects [Forbes,G]
     Full Idea: The main objection to realism about worlds is from epistemology. Knowledge of properties of objects requires experience of these objects, which must be within the range of our sensory faculties, but only concrete actual objects achieve that.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 4.2)
     A reaction: This pinpoints my dislike of the whole possible worlds framework, ontologically speaking. I seem to be an actualist. I take possibilities to be inferences to the best explanation from the powers we know of in the actual world. We experience potentiality.
10. Modality / E. Possible worlds / 2. Nature of Possible Worlds / a. Nature of possible worlds
Possible worlds are points of logical space, rather like other times than our own [Forbes,G]
     Full Idea: Someone impressed by the parallel between tense and modal operators ...might suggest that just as we can speak of places and times forming their own manifolds or spaces, so we can say that worlds are the points of logical space.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 4.2)
     A reaction: I particularly like the notion of worlds being "points of logical space", and am inclined to remove it from this context and embrace it as the correct way to understand possible worlds. We must understand logical or conceptual space.
10. Modality / E. Possible worlds / 3. Transworld Objects / a. Transworld identity
Transworld identity concerns the limits of possibility for ordinary things [Forbes,G]
     Full Idea: An elucidation of transworld identity can be regarded as an elucidation of the boundaries of possibility for ordinary things.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 5.1)
     A reaction: I presume that if we don't search for some such criterion, we just have to face the possibility that Aristotle could have been a poached egg in some possible world. To know the bounds of possibility, study the powers of actual objects.
The problem of transworld identity can be solved by individual essences [Forbes,G]
     Full Idea: The motivation for investigating individual essences should be obvious, since if every object has such an essence, the problem of elucidating transworld identity can be solved.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 5.1)
     A reaction: It is important that, if necessary, the identities be 'individual', and not just generic, by sortal, or natural kind. We want to reason about (and explain) truths at the fine-grained level of the individual, not just at the broad level of generalisation.
10. Modality / E. Possible worlds / 3. Transworld Objects / c. Counterparts
Counterpart theory is not good at handling the logic of identity [Forbes,G]
     Full Idea: The outstanding technical objection to counterpart-theoretic semantics concerns its handling of the logic of identity. In quantified S5 (the orthodox semantics) a = b → □(a = b) is valid, but 'a' must not attach to two objects.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 3.5)
10. Modality / E. Possible worlds / 3. Transworld Objects / d. Haecceitism
Haecceitism attributes to each individual a primitive identity or thisness [Forbes,G]
     Full Idea: Haecceitism attributes to each individual a primitive identity or thisness, as opposed to the sort of essentialism that gives non-trivial conditions sufficient for transworld identity.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 6.6)
     A reaction: 'Haecceitism' is the doctrine that things have primitive identity. A 'haecceity' is a postulated property which actually does the job. The key point of the view is that whatever it is is 'primitive', and not complex, or analysable. I don't believe it.
We believe in thisnesses, because we reject bizarre possibilities as not being about that individual [Forbes,G]
     Full Idea: The natural response to an unreasonable hypothesis of possibility for an object x, that in such a state of affairs it would not be x which satisfies the conditions, is evidence that we do possess concepts of thisness for individuals.
     From: Graeme Forbes (The Metaphysics of Modality [1985], 9.4)
     A reaction: We may have a 'concept' of thisness, but we needn't be committed to the 'existence' of a thisness. There is a fairly universal intuition that cessation of existence of an entity when it starts to change can be a very vague matter.
11. Knowledge Aims / A. Knowledge / 2. Understanding
Understanding is not mysterious - it is just more knowledge, of causes [Lipton]
     Full Idea: On the causal model of explanation, understanding is unmysterious and objective; it is not some sort of super-knowledge, but simply more knowledge; knowledge of causes.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 03 'Fact')
     A reaction: There seems to be some distinction between revealing some causes, and revealing a cause which 'makes the light dawn'.
13. Knowledge Criteria / B. Internal Justification / 3. Evidentialism / a. Evidence
How do we distinguish negative from irrelevant evidence, if both match the hypothesis? [Lipton]
     Full Idea: How can Best Explanation distinguish negative evidence from irrelevant evidence, when the evidence is logically consistent with the hypothesis?
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 05 'A case')
     A reaction: There seems no answer to this other than to assess batches of evidence by their coherence, rather than one at a time. Anomalies can be conclusive, or pure chance.
14. Science / A. Basis of Science / 1. Observation
The inference to observables and unobservables is almost the same, so why distinguish them? [Lipton]
     Full Idea: The inferential path to unobservables is often the same as to unobserved observables. In these two sorts of case, the reason for belief can be equally strong, so the suggestion that we infer truth in one case but not the other seems perverse.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 09 'Voltaire's')
     A reaction: [Van Fraassen 1980 is the target of this] Van F seems to be in the grip of some sort of verificationism, which I always disliked on the grounds that speculation can be highly meaningful. Why embrace something because it 'could' be observed?
14. Science / A. Basis of Science / 2. Demonstration
Inductive inference is not proof, but weighing evidence and probability [Lipton]
     Full Idea: Inductive inference is a matter of weighing evidence and judging probability, not of proof.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 01 'Underd')
     A reaction: This sounds like a plausible fallibilist response to the optimistic view of Aristotle.
We infer from evidence by working out what would explain that evidence [Lipton]
     Full Idea: Explanatory considerations are an important guide to inference, …we work out what to infer from our evidence by thinking about what would explain that evidence.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], Pref 2nd ed)
     A reaction: I take this to be inferences about the physical world, rather than of pure logic. The thesis sounds a bit thin, since there is no logical sense of 'infer' here, so all it could mean is 'what caused that?'.
14. Science / A. Basis of Science / 4. Prediction
It is more impressive that relativity predicted Mercury's orbit than if it had accommodated it [Lipton]
     Full Idea: We are more impressed by the fact that the special theory of relativity was used to predict the shift in the perihelion of Mercury than we would have been if we knew that the theory was constructed in order to account for that effect.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 10 'The fudging')
     A reaction: Lipton has a nice discussion of the relative merits of predicting data and accommodating it. He invites astrologers to predict events, rather than accommodate past ones.
Predictions are best for finding explanations, because mere accommodations can be fudged [Lipton]
     Full Idea: Accommodations are often worth less than predictions, because only they have to face the possibility that the best explanation of the fit between the theory and data is that the theoretical system was fudged.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 11 'Circularity')
     A reaction: Lipton illuminatingly explores the discovery by Semmelweiss of the cause of childbed fever. He predicted various explanations, and tested them out in a hospital. It clicks when the prediction occurs.
14. Science / B. Scientific Theories / 1. Scientific Theory
If we make a hypothesis about data, then a deduction, where does the hypothesis come from? [Lipton]
     Full Idea: The cost of the hypothetico-deductive method …is that we are left in the dark about the source of the hypotheses themselves.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 05 'Explanation')
     A reaction: How do we distinguish a wild hypothesis from a plausible one? It can only be from patterns in the data, rather than mere accumulations of data. If water causes cholera, or smoking causes cancer, the hypothesis guides the data search.
14. Science / C. Induction / 1. Induction
Induction is repetition, instances, deduction, probability or causation [Lipton]
     Full Idea: Five attempts to describe induction are 'more of the same', the instantial model, the hypothetico-deductive model, the Bayesian approach …and causal inference.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 01 'Descr')
     A reaction: This interesting list totally fails to mention the best answer, which is essentialism! If you observe some instances, you only begin to think that there will be more of the same if you think you have discerned the essence. Ravens are black things!
14. Science / C. Induction / 3. Limits of Induction
Standard induction does not allow for vertical inferences, to some unobservable lower level [Lipton]
     Full Idea: One of the problems of the extrapolation and instantial models of confirmation is that they do not cover vertical inferences, where we infer from what we observe to something at a different level that is often unobservable.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 04 'Attractions')
     A reaction: This is my preferred essentialist view of induction, that we don't just infer that future swans will be white, but also that whiteness is built into the biology of swans. There seems to be predictive induction and explanatory induction.
14. Science / C. Induction / 4. Reason in Induction
An inductive inference is underdetermined, by definition [Lipton]
     Full Idea: If an inference is inductive, then by definition it is underdetermined by the evidence and the rules of deduction.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 01 'Underd')
We can argue to support our beliefs, so induction will support induction, for believers in induction [Lipton]
     Full Idea: There is nothing illegitimate about giving arguments for beliefs one already holds. …So inductive justification of induction, while impotent against the skeptic, is legitimate for those who already rely on induction.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 11 'Circularity')
     A reaction: Not so fast! The first sentence is generally right, but if the 'beliefs one already holds' are beliefs about methods of argument, that is a different case. Compare 'this book is the word of God, because it says so in the book'. Can logic prove logic?
14. Science / C. Induction / 5. Paradoxes of Induction / b. Raven paradox
If something in ravens makes them black, it may be essential (definitive of ravens) [Lipton]
     Full Idea: We are considering that there is something in ravens, a gene perhaps, that makes them black, and this cause is part of the essence of ravens. Birds lacking this cause could not interbreed with ravens.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 05 'Unsuitable')
     A reaction: At last, the essentialist approach to induction! Of course, it is tricky to decide a priori whether there could be albino ravens. It only takes one white (interbreeding) raven to ruin a nice essentialist story. Individuals matter.
My shoes are not white because they lack some black essence of ravens [Lipton]
     Full Idea: The reason my shoe is white is not that it lacks some feature essential to ravens that makes them black.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 06 'The Method')
     A reaction: Good, but not totally true. If my shoes were made to grow from genes, and then had some raven spliced into them, we might manage it. That is an explanation, but a long way from the best one. Enquiry is explanations, not deductions.
A theory may explain the blackness of a raven, but say nothing about the whiteness of shoes [Lipton]
     Full Idea: Explanatory considerations help with the raven paradox since, while the raven hypothesis may provide an explanation for the blackness of a particular raven, neither the original hypothesis nor its contrastive explanation explain why the shoe is white.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 06 'Unsuitable')
     A reaction: For me, the examination of ravens is a search for the essence of ravenhood, which is why non-ravens don't help. Of course, if you eliminate all culprits except one, you have your culprit, but will your evidence stand up in court?
We can't turn non-black non-ravens into ravens, to test the theory [Lipton]
     Full Idea: We cannot transform a non-black non-raven into a raven to see whether we get a simultaneous transformation from non-black to black, in the way we can transform a flame without sodium into a flame with sodium.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 06 'Unsuitable')
     A reaction: A white shoe would be an example of a non-black non-raven. People mesmerised by the raven paradox are too concerned with investigation being a 'logical' process. Lipton makes a nice point. We need to know the nature of ravens.
To pick a suitable contrast to ravens, we need a hypothesis about their genes [Lipton]
     Full Idea: Without something like a hypothesis about the genes of ravens, we simply do not know what would count as a relevantly similar bird for comparison.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 06 'Unsuitable')
     A reaction: Lipton is endorsing the view that explanation should be 'contrastive', as well as aiming to discover the inner nature of ravens. He makes a good case for the contrastive approach.
14. Science / C. Induction / 6. Bayes's Theorem
Bayes seems to rule out prior evidence, since that has a probability of one [Lipton]
     Full Idea: Old evidence seems to provide some confirmation, but Bayesianism does not allow for this, since old evidence will have a prior probability of one, and so have no effect on the posterior probability of the hypothesis.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 01 'Descr')
A hypothesis is confirmed if an unlikely prediction comes true [Lipton]
     Full Idea: In English, Bayes's Theorem says that there is a high confirmation when your hypothesis entails an unlikely prediction that turns out to be correct - a very plausible claim.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 01 'Descr')
     A reaction: Presumably the simple point is that a likely prediction could have been caused by many things, but an unlikely prediction will probably only be caused by that thing.
Bayes is too liberal, since any logical consequence of a hypothesis confirms it [Lipton]
     Full Idea: Since the Bayesian account says a hypothesis is confirmed by any of its logical consequences …it seems to inherit the over-permissiveness of the hypothetico-deductive model.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 01 'Descr')
     A reaction: This sounds like Hempel's Raven Paradox, where the probability of some logical consequences seems impossible to assess.
Bayes involves 'prior' probabilities, 'likelihood', 'posterior' probability, and 'conditionalising' [Lipton]
     Full Idea: In p(H|E) = p(E|H)p(H)/p(E), the left side is the 'posterior' probability of H given E, p(E|H) is the 'likelihood' of E given H, and the others are the 'priors' of H and E. Moving from right to left is known as 'conditionalization'.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 07 'The Bayesian')
Explanation may be an important part of implementing Bayes's Theorem [Lipton]
     Full Idea: Explanatory considerations may play an important role in the actual mechanisms by which inquirers 'realize' Bayesian reasoning.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 07 'The Bayesian')
     A reaction: Lipton's strategy for making peace between IBE and Bayesians. Explanations give likeliness. The background question for Bayesians always seems to be how the initial probabilities are assigned. Pure logic won't do that job.
14. Science / D. Explanation / 1. Explanation / a. Explanation
Explanation may describe induction, but may not show how it justifies, or leads to truth [Lipton]
     Full Idea: Explanation is a partial answer to the descriptive problem of induction, …but the justificatory problem is recalcitrant, since it may seem particularly implausible that explanatory considerations should be a reliable guide to truth.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 09 'Voltaire's')
     A reaction: His claim that explanation is a guide to inference is intended to bridge the gap. One might say that a good explanation has to be true, so just make sure your explanation is 'good', according to a few criteria.
14. Science / D. Explanation / 1. Explanation / b. Aims of explanation
An explanation gives the reason the phenomenon occurred [Lipton]
     Full Idea: According to the reason model of explanation, to explain a phenomenon is to give a reason to believe that the phenomenon occurs.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 02 'Reason')
     A reaction: [He cites Hempel 1965] Put like that, it doesn't sound very promising. Personally I believe things occur if my wife tells me they do, because I trust her. Lipton says knowing that it occurs is not understanding why it occurs.
An explanation is what makes the unfamiliar familiar to us [Lipton]
     Full Idea: On the 'familiarity' model of explanation, unfamiliar phenomena call for explanation, and good explanations somehow make them familiar.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 02 'Reason')
     A reaction: Lipton notes that his encourages explanation by analogy, but that may not add to understanding. A better version is that an explanation makes a phenomenon less surprising (but that sounds rather relative and subjective).
An explanation is what is added to knowledge to yield understanding [Lipton]
     Full Idea: The question about explanation can be put this way: What has to be added to knowledge to yield understanding?
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 02 'Underst')
     A reaction: In the spirit of Aristotle, I take 'understanding' to be the end of all enquiry, even if it's rather open-ended, relative and vague. Presumably there are lots of true explanations which don't deliver understanding, because baffling ingredients are cited.
Seaching for explanations is a good way to discover the structure of the world [Lipton]
     Full Idea: One of the points of our obsessive search for explanations is that this is a peculiarly effective way of discovering the structure of the world.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 04 'Attractions')
     A reaction: This remark is a nice corrective to the sceptical view that explanations are entirely subjective, pragmatic, and even conventional. Whether this means that there are 'real' and 'objective' explanations is another matter.
14. Science / D. Explanation / 2. Types of Explanation / b. Contrastive explanations
In 'contrastive' explanation there is a fact and a foil - why that fact, rather than this foil? [Lipton]
     Full Idea: In a 'contrastive' explanation what gets explained is not 'Why this?', but 'Why this rather than that?'. There is a fact and a foil, and one fact may have several foils. Why do leaves turn yellow in November rather than in January?
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 03 'Fact')
     A reaction: Lipton really likes this, and builds his story around it. Maybe, but it looks to me like an easier step towards a proper explanation. The foils are infinite. Why turn yellow rather than radioactive, insincere, divisible by three, or expensive?
With too many causes, find a suitable 'foil' for contrast, and the field narrows right down [Lipton]
     Full Idea: The class of possible causes is often too big, …but if we are lucky or clever enough to find or produce a contrast where fact and foil have similar histories, most potential explanations are immediately 'cancelled out', and we have a research programme.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 05 'A case')
     A reaction: He has a nice example of a triumph in 19th century German epidemiology. Once you get a good hypothesis, you can set up comparisons, based on a possible fact and a good foil. Genius is spotting hypothesis and foil. Nice.
14. Science / D. Explanation / 2. Types of Explanation / c. Explanations by coherence
An explanation unifies a phenomenon with our account of other phenomena [Lipton]
     Full Idea: According to the 'unification' model of explanation, we come to understand a phenomenon when we see how it fit together with other phenomena into unified whole.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 02 'Reason')
     A reaction: [He cites Kitcher 1989] This works quite well for a lot of explanation, but a revolutionary explanation might involve a completely new theory. Lipton says it is rather linguistic, and has no room for a regress of causes, or for singular explanations.
14. Science / D. Explanation / 2. Types of Explanation / e. Lawlike explanations
Good explanations may involve no laws and no deductions [Lipton]
     Full Idea: Many ordinary explanations include no laws and allow no deduction, yet are not incomplete or mere sketches.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 02 'Reason')
     A reaction: The simplest sort of explanation simply shows the underlying cause.
Deduction explanation is too easy; any law at all will imply the facts - together with the facts! [Lipton]
     Full Idea: Deduction models of explanation make it far too easy to explain. You can explain that planets move in an ellipse from the conjunction of the fact that they do, together with any law you please, say a law in economics.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 02 'Reason')
We reject deductive explanations if they don't explain, not if the deduction is bad [Lipton]
     Full Idea: The hypothetico-deductive model does not account for the negative impact of explanatory failure. We reject hypotheses because they fail to explain contrasts, not because they are logically incompatible with them.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 05 'Explanation')
     A reaction: The general move in modern accounts of investigation is away from an excessive emphasis on logic that used to be favoured. The underpinning of this is that science concerns mechanisms more than equations.
14. Science / D. Explanation / 2. Types of Explanation / f. Necessity in explanations
An explanation shows why it was necessary that the effect occurred [Lipton]
     Full Idea: According to the 'necessity' model of explanation, an explanation shows that the phenomenon in question had to occur.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 02 'Reason')
     A reaction: [He cites Glymour 1980] Lipton objects that the sort of necessity involved is too uncertain, can't account for the 'why-regress', and doesn't fit everyday explanation, like why we abandoned the football match.
14. Science / D. Explanation / 2. Types of Explanation / g. Causal explanations
To explain is to give either the causal history, or the causal mechanism [Lipton]
     Full Idea: According to the causal model of explanation, to explain a phenomenon is simply to give information about its causal history, or, where the phenomenon is itself a causal regularity, to give information about the mechanism linking cause and effect.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 03 'Fact')
     A reaction: [He cites Lewis's 1986 paper] Simply citing causal regularity seems to me to explain nothing. It happened because it always happens. Mechanism, on the other hand, is just what we are after.
Mathematical and philosophical explanations are not causal [Lipton]
     Full Idea: Mathematical explanations are never causal, and philosophical explanations seldom are.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 03 'Fact')
     A reaction: There may still be a 'direction' of explanation in mathematics, as when the nature of the triangle explains the Pythagoras Theorem, but the theorem may not give you the basic nature of triangles. Lipton suggests 'determination' for 'causation'.
A cause may not be an explanation [Lipton]
     Full Idea: I take it that we may think about causes without thinking especially about explanations, and so we might judge likeliest cause without considering loveliest explanation.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 08 'From cause')
Causal inferences are clearest when we can manipulate things [Lipton]
     Full Idea: Our most secure basis for causal inference is manipulation, as when flicking the switch causes the light to go on.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 08 'From cause')
     A reaction: Correct, but Woodward elevates this into an entire theory of causation, which does not convince me.
Explanations may be easier to find than causes [Lipton]
     Full Idea: It is often easier to say what a factor would explain than it is to say what it would cause.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 08 'From cause')
     A reaction: Presumably the presence of some factor might explain something, but the factor itself might have mysterious causal powers. A catalyst, for example. We don't need to understand the factor that explains.
14. Science / D. Explanation / 2. Types of Explanation / i. Explanations by mechanism
We want to know not just the cause, but how the cause operated [Lipton]
     Full Idea: We understand a phenomenon better when we know not just what caused it, but how the cause operated.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 08 'the guiding')
     A reaction: This is the key point behind the desire for 'mechanism' in explanation. It strikes me as undeniable.
14. Science / D. Explanation / 2. Types of Explanation / l. Probabilistic explanations
To maximise probability, don't go beyond your data [Lipton]
     Full Idea: If all we wanted was to maximise probability, we would never venture beyond our data.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 07 'friends')
14. Science / D. Explanation / 3. Best Explanation / a. Best explanation
Is Inference to the Best Explanation nothing more than inferring the likeliest cause? [Lipton]
     Full Idea: A suspicion is that Inference to the Best Explanation is nothing more than Inference to the Likeliest Cause in fancy dress, and so fails to account for the symptoms of likeliness.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 04 'Attractions')
     A reaction: In a lot of cases the cause is the explanation. An explanation might be the absence of a cause (as in 'you forgot to switch it on'). Lipton's 'lovely' explanations go further, and reveal a network of causes.
Best Explanation as a guide to inference is preferable to best standard explanations [Lipton]
     Full Idea: The core idea of Inference to the Best Explanation (IBE) is that explanatory considerations are a guide to inference. …Inserting one of the standard models of explanation yields disappointing results, because of their backward state.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 04 'Spelling')
     A reaction: Inferences tend to come one at a time, but I see best explanations as the formation of coherent pictures. The tricky bit is when to decide the coherence makes it acceptable. Lipton has that problem too, with his inferences. 'Working explanations'.
The 'likeliest' explanation is the best supported; the 'loveliest' gives the most understanding [Lipton]
     Full Idea: There is a distinction between the explanation best supported by the evidence, and the explanation that would provide the most understanding: in short, between the 'likeliest' and the 'loveliest' explanation.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 04 'Spelling')
     A reaction: A very nice, very real and very illuminating distinction. Presumably truth must play an important role in both likelihood and loveliness.
Finding the 'loveliest' potential explanation links truth to understanding [Lipton]
     Full Idea: We should considere Inference to the Loveliest Potential Explanation, …which links the search for truth and the search for understanding in a fundamental way.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 04 'Spelling')
IBE is inferring that the best potential explanation is the actual explanation [Lipton]
     Full Idea: According to Inference to the Best Explanation we do not infer the best actual explanation; rather we infer that the best of the available potential explanations is an actual explanation.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 04 'Spelling')
     A reaction: Clearly to say that you should just accept the best available explanation is asking for trouble, if all the available explanations are absurd. But what are the criteria for saying the best one is the actual one?
IBE is not passive treatment of data, but involves feedback between theory and data search [Lipton]
     Full Idea: The slogan 'Inference to the Best Explanation' may bring to mind an excessively passive picture of scientific enquiry, …but there is the feedback between hypothesis formation and data acquisition that characterises actual enquiry.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 05 'Explanation')
     A reaction: Perhaps it should be renamed 'Search for the Best Explanation'.
A contrasting difference is the cause if it offers the best explanation [Lipton]
     Full Idea: We are to infer that a difference marks a cause just in case the difference would provide the best explanation of the contrast.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 08 'Improved')
     A reaction: Lipton's offers this as his distinctive contribution to Mill's methods of enquiry. His point is that we draw inferences for explanatory reasons. He rests on Mill, and on contrastive explanation. It sounds rightish, but a bit optimistic.
We select possible explanations for explanatory reasons, as well as choosing among them [Lipton]
     Full Idea: Explanatory considerations can play a role in the generation of potential explanations as well as in the subsequent selection from among them.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 09 'The two-stage')
     A reaction: Lipton offers this to meet an obvious objection to Inference to the Best Explanation - that compiling the possible explanations seems to need guidance. Seems a good reply.
14. Science / D. Explanation / 3. Best Explanation / c. Against best explanation
Must we only have one explanation, and must all the data be made relevant? [Lipton]
     Full Idea: Two problems for IBE are that only one explanation can be inferred from any set of data, and that the only data that are relevant to a hypothesis are data the hypothesis explains.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 04 'Spelling')
     A reaction: I don't see why the theory prohibits a tie for what is 'best', given that you don't have to commit. The second one is partly to do with what observers should do about anomalies, and it is sometimes right to ignore them.
Bayesians say best explanations build up an incoherent overall position [Lipton]
     Full Idea: Bayesians object to inference to the best explanation, because someone who favoured powerful ('lovely') explanations would end up with an incoherent distribution of states of belief. They would be persuaded by loss-making wagers (a 'dutch book').
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 07 'The Bayesian')
     A reaction: [compressed; he cites Van Fraassen 1989 Ch.7] Lipton's Ch. 7 tries to address this issue.
The best theory is boring: compare 'all planets move elliptically' with 'most of them do' [Lipton]
     Full Idea: The best theory is almost always boring. …The claim that all planets move in ellipses is interesting, and the claim that some do not is not interesting.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 09 'Is the best')
     A reaction: This applies to any extraction of a universal 'law' by induction. The best theory just affirms what has been observed. How could generalising about what you haven't observed be 'better'? Answer: because it goes via the essence.
Best explanation can't be a guide to truth, because the truth must precede explanation [Lipton]
     Full Idea: Inference to the best explanation cannot be epistemically effective, since an actual explanation must be true, so one would have to know the truth before one could infer an explanation.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 09 'Voltaire's')
     A reaction: Lipton rests on 'contrastive' explanation, so that the one that explains more is more likely to be true. If true, it explains. That seems to me correct, even though it could occasionally go horribly wrong. Approach explanation cautiously.
26. Natural Theory / C. Causation / 9. General Causation / c. Counterfactual causation
Counterfactual causation makes causes necessary but not sufficient [Lipton]
     Full Idea: The counterfactual conception of causation makes causes necessary but not sufficient conditions for their effects.
     From: Peter Lipton (Inference to the Best Explanation (2nd) [2004], 08 'From cause')
     A reaction: Interesting. Then causes would be necessary, but would not necessitate. So what makes a cause sufficient?