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The Gettier problem, in the field of epistemology, is a landmark philosophical problem concerning the understanding of descriptive knowledge. Attributed to American philosopher Edmund Gettier, Gettier-type counterexamples (called "Gettier-cases") challenge the long-held justified true belief (JTB) account of knowledge. The JTB account holds that knowledge is equivalent to justified true belief; if all three conditions (justification, truth, and belief) are met of a given claim, then there is knowledge of that claim. In his 1963 three-page paper titled "Is Justified True Belief Knowledge?",[1][2] Gettier attempts to illustrate by means of two counterexamples that there are cases where individuals can have a justified, true belief regarding a claim but still fail to know it because the reasons for the belief, while justified, turn out to be false. Thus, Gettier claims to have shown that the JTB account is inadequate because it does not account for all of the necessary and sufficient conditions for knowledge.

The terms "Gettier problem", "Gettier case", or even the adjective "Gettiered", are sometimes used to describe any case in the field of epistemology that purports to repudiate the JTB account of knowledge.

Responses to Gettier's paper have been numerous. Some reject Gettier's examples as inadequate justification, while others seek to adjust the JTB account of knowledge and blunt the force of these counterexamples. Gettier problems have even found their way into sociological experiments in which researchers have studied intuitive responses to Gettier cases from people of varying demographics.[3]

History

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The question of what constitutes "knowledge" is as old as philosophy itself. Early instances are found in Plato's dialogues, notably Meno (97a–98b) and Theaetetus. Gettier himself was not actually the first to raise the problem named after him; its existence was acknowledged by both Alexius Meinong and Bertrand Russell, the latter of whom discussed the problem in his book Human Knowledge: Its scope and limits.[4] In fact, the problem has been known since the Middle Ages, and both Indian philosopher Dharmottara and scholastic logician Peter of Mantua presented examples of it.[5]

Dharmottara, in his commentary c. 770 AD on Dharmakirti's Ascertainment of Knowledge, gives the following two examples:[6][7][8]

A fire has just been lit to roast some meat. The fire hasn't started sending up any smoke, but the smell of the meat has attracted a cloud of insects. From a distance, an observer sees the dark swarm above the horizon and mistakes it for smoke. "There's a fire burning at that spot," the distant observer says. Does the observer know that there is a fire burning in the distance?[6]

A desert traveller is searching for water. He sees, in the valley ahead, a shimmering blue expanse. Unfortunately, it's a mirage. But fortunately, when he reaches the spot where there appeared to be water, there actually is water, hidden under a rock. Did the traveller know, as he stood on the hilltop hallucinating, that there was water ahead?[6]

Various theories of knowledge, including some of the proposals that emerged in Western philosophy after Gettier in 1963, were debated by Indo-Tibetan epistemologists before and after Dharmottara.[6][9] In particular, Gaṅgeśa in the 14th century advanced a detailed causal theory of knowledge.[6]

Russell's case, called the stopped clock case, goes as follows:[10] Alice sees a clock that reads two o'clock and believes that the time is two o'clock. It is, in fact, two o'clock. There's a problem, however: unknown to Alice, the clock she's looking at stopped twelve hours ago. Alice thus has an accidentally true, justified belief. Russell provides an answer of his own to the problem. Edmund Gettier's formulation of the problem was important as it coincided with the rise of the sort of philosophical naturalism promoted by W. V. O. Quine and others, and was used as a justification for a shift towards externalist theories of justification.[11] John L. Pollock and Joseph Cruz have stated that the Gettier problem has "fundamentally altered the character of contemporary epistemology" and has become "a central problem of epistemology since it poses a clear barrier to analyzing knowledge".[12]: 13–14 

Alvin Plantinga rejects the historical analysis:

According to the inherited lore of the epistemological tribe, the JTB [justified true belief] account enjoyed the status of epistemological orthodoxy until 1963, when it was shattered by Edmund Gettier... Of course, there is an interesting historical irony here: it isn't easy to find many really explicit statements of a JTB analysis of knowledge prior to Gettier. It is almost as if a distinguished critic created a tradition in the very act of destroying it.[13]: 6–7 

Despite this, Plantinga does accept that some philosophers before Gettier have advanced a JTB account of knowledge, specifically C. I. Lewis and A. J. Ayer.[13]: 7 

Knowledge as justified true belief (JTB)

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The JTB account of knowledge is the claim that knowledge can be conceptually analyzed as justified true belief, which is to say that the meaning of sentences such as "Smith knows that it rained today" can be given with the following set of conditions, which are necessary and sufficient for knowledge to obtain:

A subject S knows that a proposition P is true if and only if:
  1. P is true, and
  2. S believes that P is true, and
  3. S is justified in believing that P is true

The JTB account was first credited to Plato, though Plato argued against this very account of knowledge in the Theaetetus (210a). This account of knowledge is what Gettier subjected to criticism.

Gettier's two original counterexamples

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Gettier's paper used counterexamples to argue that there are cases of beliefs that are both true and justified—therefore satisfying all three conditions for knowledge on the JTB account—but that do not appear to be genuine cases of knowledge. Therefore, Gettier argued, his counterexamples show that the JTB account of knowledge is false, and thus that a different conceptual analysis is needed to correctly track what we mean by "knowledge".

Gettier's case is based on two counterexamples to the JTB analysis, both involving a fictional character named Smith. Each relies on two claims. Firstly, that justification is preserved by entailment, and secondly that this applies coherently to Smith's putative "belief". That is, that if Smith is justified in believing P, and Smith realizes that the truth of P entails the truth of Q, then Smith would also be justified in believing Q. Gettier calls these counterexamples "Case I" and "Case II":

Case I

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Suppose that Smith and Jones have applied for a certain job. And suppose that Smith has strong evidence for the following conjunctive proposition: (d) Jones is the man who will get the job, and Jones has ten coins in his pocket.

Smith's evidence for (d) might be that the president of the company assured him that Jones would, in the end, be selected and that he, Smith, had counted the coins in Jones's pocket ten minutes ago. Proposition (d) entails: (e) The man who will get the job has ten coins in his pocket.

Let us suppose that Smith sees the entailment from (d) to (e), and accepts (e) on the grounds of (d), for which he has strong evidence. In this case, Smith is clearly justified in believing that (e) is true.

But imagine, further, that unknown to Smith, he himself, not Jones, will get the job. And, also, unknown to Smith, he himself has ten coins in his pocket. Proposition (e) is true, though proposition (d), from which Smith inferred (e), is false. In our example, then, all of the following are true: (i) (e) is true, (ii) Smith believes that (e) is true, and (iii) Smith is justified in believing that (e) is true. But it is equally clear that Smith does not know that (e) is true; for (e) is true in virtue of the number of coins in Smith's pocket, while Smith does not know how many coins are in his pocket, and bases his belief in (e) on a count of the coins in Jones's pocket, whom he falsely believes to be the man who will get the job.[1]

Case II

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Smith, it is claimed by the hidden interlocutor, has a justified belief that "Jones owns a Ford". Smith therefore (justifiably) concludes (by the rule of disjunction introduction) that "Jones owns a Ford, or Brown is in Barcelona", even though Smith has no information whatsoever about the location of Brown. In fact, Jones does not own a Ford, but by sheer coincidence, Brown really is in Barcelona. Again, Smith had a belief that was true and justified, but not knowledge.

False premises and generalized Gettier-style problems

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In both of Gettier's actual examples (see also counterfactual conditional), the justified true belief came about, if Smith's purported claims are disputable, as the result of entailment (but see also material conditional) from justified false beliefs that "Jones will get the job" (in case I), and that "Jones owns a Ford" (in case II). This led some early responses to Gettier to conclude that the definition of knowledge could be easily adjusted, so that knowledge was justified true belief that does not depend on false premises. The interesting issue that arises is then of how to know which premises are in reality false or true when deriving a conclusion, because as in the Gettier cases, one sees that premises can be very reasonable to believe and be likely true, but unknown to the believer there are confounding factors and extra information that may have been missed while concluding something. The question that arises is therefore to what extent would one have to be able to go about attempting to "prove" all premises in the argument before solidifying a conclusion.

The generalized problem

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In a 1966 scenario known as "The sheep in the field", Roderick Chisholm asks us to imagine that someone, X, is standing outside a field looking at something that looks like a sheep (although in fact, it is a dog disguised as a sheep). X believes there is a sheep in the field, and in fact, X is right because there is a sheep behind the hill in the middle of the field. Hence, X has a justified true belief that there is a sheep in the field.[14]

Another scenario by Brian Skyrms is "The Pyromaniac", in which a struck match lights not for the reasons the pyromaniac imagines but because of some unknown "Q radiation".[15]

A different perspective on the issue is given by Alvin Goldman in the "fake barns" scenario (crediting Carl Ginet with the example). In this one, a man is driving in the countryside, and sees what looks exactly like a barn. Accordingly, he thinks that he is seeing a barn. In fact, that is what he is doing. But what he does not know is that the neighborhood generally consists of many fake barns—barn facades designed to look exactly like real barns when viewed from the road. Since, if he had been looking at one of them, he would have been unable to tell the difference, his "knowledge" that he was looking at a barn would seem to be poorly founded.[16]

Objections to the "no false premises" approach

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The "no false premises" (or "no false lemmas") solution which was proposed early in the discussion has been criticized,[17] as more general Gettier-style problems were then constructed or contrived in which the justified true belief is said to not seem to be the result of a chain of reasoning from a justified false belief. For example:

After arranging to meet with Mark for help with homework, Luke arrives at the appointed time and place. Walking into Mark's office Luke clearly sees Mark at his desk; Luke immediately forms the belief "Mark is in the room. He can help me with my logic homework". Luke is justified in his belief; he clearly sees Mark at his desk. In fact, it is not Mark that Luke saw, but rather a hologram, perfect in every respect, giving the appearance of Mark diligently grading papers at his desk. Nevertheless, Mark is in the room; he is crouched under his desk reading Frege. Luke's belief that Mark is in the room is true (he is in the room, under his desk) and justified (Mark's hologram is giving the appearance of Mark hard at work).

It is argued that it seems as though Luke does not "know" that Mark is in the room, even though it is claimed he has a justified true belief that Mark is in the room, but it is not nearly so clear that the perceptual belief that "Mark is in the room" was inferred from any premises at all, let alone any false ones, nor led to significant conclusions on its own; Luke did not seem to be reasoning about anything; "Mark is in the room" seems to have been part of what he seemed to see.

Constructing Gettier problems

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The main idea behind Gettier's examples is that the justification for the belief is flawed or incorrect, but the belief turns out to be true by sheer luck. Linda Zagzebski shows that any analysis of knowledge in terms of true belief and some other element of justification that is independent from truth, will be liable to Gettier cases.[18] She offers a formula for generating Gettier cases:

(1) start with a case of justified false belief;

(2) amend the example, making the element of justification strong enough for knowledge, but the belief false by sheer chance;

(3) amend the example again, adding another element of chance such that the belief is true, but which leaves the element of justification unchanged;

This will generate an example of a belief that is sufficiently justified (on some analysis of knowledge) to be knowledge, which is true, and which is intuitively not an example of knowledge. In other words, Gettier cases can be generated for any analysis of knowledge that involves a justification criterion and a truth criterion, which are highly correlated but have some degree of independence.

Responses to Gettier

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The Gettier problem is formally a problem in first-order logic, but the introduction by Gettier of terms such as believes and knows moves the discussion into the field of epistemology. Here, the sound (true) arguments ascribed to Smith then need also to be valid (believed) and convincing (justified) if they are to issue in the real-world discussion about justified true belief.[19]

Responses to Gettier problems have fallen into three categories:

  • Affirmations of the JTB account: This response affirms the JTB account of knowledge, but rejects Gettier cases. Typically, the proponent of this response rejects Gettier cases because, they say, Gettier cases involve insufficient levels of justification. Knowledge actually requires higher levels of justification than Gettier cases involve.
  • Fourth condition responses: This response accepts the problem raised by Gettier cases, and affirms that JTB is necessary (but not sufficient) for knowledge. A proper account of knowledge, according to this type of view, will contain at least fourth condition (JTB + ?). With the fourth condition in place, Gettier counterexamples (and other similar counterexamples) will not work, and we will have an adequate set of criteria that are both necessary and sufficient for knowledge.
  • Justification replacement response: This response also accepts the problem raised by Gettier cases. However, instead of invoking a fourth condition, it seeks to replace justification itself with some other third condition (?TB) that will make counterexamples obsolete.

One response, therefore, is that in none of the above cases was the belief justified because it is impossible to justify anything that is not true. Conversely, the fact that a proposition turns out to be untrue is proof that it was not sufficiently justified in the first place. Under this interpretation, the JTB definition of knowledge survives. This shifts the problem to a definition of justification, rather than knowledge. Another view is that justification and non-justification are not in binary opposition. Instead, justification is a matter of degree, with an idea being more or less justified. This account of justification is supported by philosophers such as Paul Boghossian[20] [1] and Stephen Hicks [2][3]. In common sense usage, an idea can not only be more justified or less justified but it can also be partially justified (Smith's boss told him X) and partially unjustified (Smith's boss is a liar). Gettier's cases involve propositions that were true and believed, but which had weak justification. In case 1, the premise that the testimony of Smith's boss is "strong evidence" is rejected. The case itself depends on the boss being either wrong or deceitful (Jones did not get the job) and therefore unreliable. In case 2, Smith again has accepted a questionable idea (Jones owns a Ford) with unspecified justification. Without justification, both cases do not undermine the JTB account of knowledge.

Other epistemologists accept Gettier's conclusion. Their responses to the Gettier problem, therefore, consist of trying to find alternative analyses of knowledge.

The fourth condition (JTB + G) approaches

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The most common direction for this sort of response to take is what might be called a "JTB + G" analysis: that is, an analysis based on finding some fourth condition—a "no-Gettier-problem" condition—which, when added to the conditions of justification, truth, and belief, will yield a set of separately necessary and jointly sufficient conditions.

Goldman's causal theory

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One such response is that of Alvin Goldman (1967), who suggested the addition of a causal condition: a subject's belief is justified, for Goldman, only if the truth of a belief has caused the subject to have that belief (in the appropriate way); and for a justified true belief to count as knowledge, the subject must also be able to "correctly reconstruct" (mentally) that causal chain. Goldman's analysis would rule out Gettier cases in that Smith's beliefs are not caused by the truths of those beliefs; it is merely accidental that Smith's beliefs in the Gettier cases happen to be true, or that the prediction made by Smith: "The winner of the job will have 10 coins", on the basis of his putative belief, (see also bundling) came true in this one case. This theory is challenged by the difficulty of giving a principled explanation of how an appropriate causal relationship differs from an inappropriate one (without the circular response of saying that the appropriate sort of causal relationship is the knowledge-producing one); or retreating to a position in which justified true belief is weakly defined as the consensus of learned opinion. The latter would be useful, but not as useful or desirable as the unchanging definitions of scientific concepts such as momentum. Thus, adopting a causal response to the Gettier problem usually requires one to adopt (as Goldman gladly does) some form of reliabilism about justification.

Lehrer–Paxson's defeasibility condition

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Keith Lehrer and Thomas Paxson (1969) proposed another response, by adding a defeasibility condition to the JTB analysis. On their account, knowledge is undefeated justified true belief—which is to say that a justified true belief counts as knowledge if and only if it is also the case that there is no further truth that, had the subject known it, would have defeated their present justification for the belief. (Thus, for example, Smith's justification for believing that the person who will get the job has ten coins in his pocket is his justified belief that Jones will get the job, combined with his justified belief that Jones has ten coins in his pocket. But if Smith had known the truth that Jones will not get the job, that would have defeated the justification for his belief.)

Pragmatism

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Pragmatism was developed as a philosophical doctrine by C.S. Peirce and William James (1842–1910). In Peirce's view, the truth is nominally defined as a sign's correspondence to its object and pragmatically defined as the ideal final opinion to which sufficient investigation would lead sooner or later. James' epistemological model of truth was that which works in the way of belief, and a belief was true if in the long run it worked for all of us, and guided us expeditiously through our semihospitable world. Peirce argued that metaphysics could be cleaned up by a pragmatic approach.

Consider what effects that might conceivably have practical bearings you conceive the objects of your conception to have. Then, your conception of those effects is the whole of your conception of the object.[21]

From a pragmatic viewpoint of the kind often ascribed to James, defining on a particular occasion whether a particular belief can rightly be said to be both true and justified is seen as no more than an exercise in pedantry, but being able to discern whether that belief led to fruitful outcomes is a fruitful enterprise. Peirce emphasized fallibilism, considered the assertion of absolute certainty a barrier to inquiry,[22] and in 1901 defined truth as follows: "Truth is that concordance of an abstract statement with the ideal limit towards which endless investigation would tend to bring scientific belief, which concordance the abstract statement may possess by virtue of the confession of its inaccuracy and one-sidedness, and this confession is an essential ingredient of truth."[23] In other words, any unqualified assertion is likely to be at least a little wrong or, if right, still right for not entirely the right reasons. Therefore, one is more veracious by being Socratic, including recognition of one's own ignorance and knowing one may be proved wrong. This is the case, even though in practical matters one sometimes must act, if one is to act at all, with a decision and complete confidence.[24]

Revisions of JTB approaches

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The difficulties involved in producing a viable fourth condition have led to claims that attempting to repair the JTB account is a deficient strategy. For example, one might argue that what the Gettier problem shows is not the need for a fourth independent condition in addition to the original three, but rather that the attempt to build up an account of knowledge by conjoining a set of independent conditions was misguided from the outset. Those who have adopted this approach generally argue that epistemological terms like justification, evidence, certainty, etc. should be analyzed in terms of a primitive notion of knowledge, rather than vice versa. Knowledge is understood as factive, that is, as embodying a sort of epistemological "tie" between a truth and a belief. The JTB account is then criticized for trying to get and encapsulate the factivity of knowledge "on the cheap", as it were, or via a circular argument, by replacing an irreducible notion of factivity with the conjunction of some of the properties that accompany it (in particular, truth and justification). Of course, the introduction of irreducible primitives into a philosophical theory is always problematic (some would say a sign of desperation[citation needed]), and such anti-reductionist accounts are unlikely to please those who have other reasons to hold fast to the method behind JTB+G accounts.

Fred Dretske's conclusive reasons and Robert Nozick's truth-tracking

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Fred Dretske developed an account of knowledge which he called "conclusive reasons",[25] revived by Robert Nozick as what he called the subjunctive or truth-tracking account.[26] Nozick's formulation posits that proposition p is an instance of knowledge when:

  1. p is true
  2. S believes that p
  3. if p were true, S would believe that p
  4. if p weren't true, S wouldn't believe that p

Nozick's definition is intended to preserve Goldman's intuition that Gettier cases should be ruled out by disacknowledging "accidentally" true justified beliefs, but without risking the potentially onerous consequences of building a causal requirement into the analysis. This tactic though, invites the riposte that Nozick's account merely hides the problem and does not solve it, for it leaves open the question of why Smith would not have had his belief if it had been false. The most promising answer seems to be that it is because Smith's belief was caused by the truth of what he believes; but that puts us back in the causalist camp. The third condition has come to be known as epistemological safety, while the fourth has come to be known as epistemological sensitivity.[27]

Criticisms and counter examples (notably the Grandma case) prompted a revision, which resulted in the alteration of (3) and (4) to limit themselves to the same method (i.e. vision):

  1. p is true
  2. S believes that p
  3. if p were true, S (using method M) would believe that p
  4. if p weren't true, S (using method M) wouldn't believe that p

Saul Kripke has pointed out that this view remains problematic and uses a counterexample called the Fake Barn Country example, which describes a certain locality containing a number of fake barns or facades of barns. In the midst of these fake barns is one real barn, which is painted red. All the fake barns are not painted red.

Jones is driving along the highway, looks up and happens to see the real barn, and so forms the belief:

  • I see a barn.

Though Jones has gotten lucky, he could have just as easily been deceived and not have known it. Therefore, it doesn't fulfill condition 4, for if Jones had seen a fake barn he wouldn't have had any idea it was a fake barn. So, even on the revised account, Jones does not know that he sees a barn.

However, Jones could look up and form the belief:

  • I see a red barn.

This meets all four conditions of Nozick’s account, and therefore Jones knows that he sees a red barn. Thus, Nozick is committed to the view that Jones knows that he sees a red barn, but does not know that he sees a barn. This violates the principle of epistemic closure, which states that one is always in a position to know the consequences of what one knows. Thus, since Jones knows that he sees a red barn, and it is a consequence of him seeing a red barn that he sees a barn, by epistemic closure he should be in a position to know that he sees a barn — but Nozick denies this. Adopting Nozick’s view therefore requires rejecting epistemic closure, which is often seen as an unacceptable cost.

Robert Fogelin's perspectival account

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In the first chapter of his book Pyrronian Reflexions on Truth and Justification,[28] Robert Fogelin gives a diagnosis that leads to a dialogical solution to Gettier's problem. The problem always arises when the given justification has nothing to do with what really makes the proposition true. Now, he notes that in such cases there is always a mismatch between the information available to the person who makes the knowledge-claim of some proposition p and the information available to the evaluator of this knowledge-claim (even if the evaluator is the same person in a later time). A Gettierian counterexample arises when the justification given by the person who makes the knowledge-claim cannot be accepted by the knowledge evaluator because it does not fit with his wider informational setting. For instance, in the case of the fake barn the evaluator knows that a superficial inspection from someone who does not know the peculiar circumstances involved isn't a justification acceptable as making the proposition p (that it is a real barn) true.[29]

Richard Kirkham's skepticism

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Richard Kirkham has proposed that it is best to start with a definition of knowledge so strong that giving a counterexample to it is logically impossible. Whether it can be weakened without becoming subject to a counterexample should then be checked. He concludes that there will always be a counterexample to any definition of knowledge in which the believer's evidence does not logically necessitate the belief. Since in most cases the believer's evidence does not necessitate a belief, Kirkham embraces skepticism about knowledge; but he notes that a belief can still be rational even if it is not an item of knowledge.

Attempts to dissolve the problem

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One might respond to Gettier by finding a way to avoid his conclusion(s) in the first place. However, it can hardly be argued that knowledge is justified true belief if there are cases that are justified true belief without being knowledge; thus, those who want to avoid Gettier's conclusions have to find some way to defuse Gettier's counterexamples. In order to do so, within the parameters of the particular counter-example or exemplar, they must then either accept that

  1. Gettier's cases are not really cases of justified true belief, or
  2. Gettier's cases really are cases of knowledge after all,

or demonstrate a case in which it is possible to circumvent surrender to the exemplar by eliminating any necessity for it to be considered that JTB apply in just those areas that Gettier has rendered obscure, without thereby lessening the force of JTB to apply in those cases where it actually is crucial. Then, though Gettier's cases stipulate that Smith has a certain belief and that his belief is true, it seems that in order to propose (1), one must argue that Gettier, (or, that is, the writer responsible for the particular form of words on this present occasion known as case (1), and who makes assertion's about Smith's "putative" beliefs), goes wrong because he has the wrong notion of justification. Such an argument often depends on an externalist account on which "justification" is understood in such a way that whether or not a belief is "justified" depends not just on the internal state of the believer, but also on how that internal state is related to the outside world. Externalist accounts typically are constructed such that Smith's putative beliefs in Case I and Case II are not really justified (even though it seems to Smith that they are), because his beliefs are not lined up with the world in the right way, or that it is possible to show that it is invalid to assert that "Smith" has any significant "particular" belief at all, in terms of JTB or otherwise. Such accounts, of course, face the same burden as causalist responses to Gettier: they have to explain what sort of relationship between the world and the believer counts as a justificatory relationship.

Those who accept (2) are by far in the minority in analytic philosophy; generally, those who are willing to accept it are those who have independent reasons to say that more things count as knowledge than the intuitions that led to the JTB account would acknowledge.[30] Chief among these is epistemic minimalists, such as Crispin Sartwell, who hold that all true belief, including both Gettier's cases and lucky guesses, counts as knowledge.

For his part, Nolbert Briceño, a Venezuelan lawyer, wrote an article entitled "Refutation of the Gettier Problem",[31] where he analyzes Edmund Gettier's reasoning as expressed in his article and claims to demonstrate the errors committed by the latter, thus defending the definition of knowledge given by Plato.

Experimental research

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Some early work in the field of experimental philosophy suggested that traditional intuitions about Gettier cases might vary cross-culturally.[32] However, subsequent studies have consistently failed to replicate these results, instead finding that participants from different cultures do share the traditional intuition.[33][34][35] More recent studies have been providing evidence for the opposite hypothesis, that people from a variety of different cultures have similar intuitions in these cases.[36]

See also

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
The Gettier problem is a foundational challenge in epistemology, originating from philosopher Edmund L. Gettier's 1963 paper "Is Justified True Belief Knowledge?", in which he presents counterexamples demonstrating that a person can hold a belief that is both true and justified—according to the prevailing analysis—yet still fail to possess knowledge due to elements of luck or false premises.[1] These cases undermine the traditional tripartite definition of knowledge as justified true belief (JTB), showing that JTB is not a sufficient condition for knowing.[1] The JTB account, which Gettier targeted, posits that for someone to know a proposition p, they must believe p, p must be true, and their belief must be justified.[1] This formulation draws from ancient philosophy, particularly Plato's Theaetetus, where knowledge is characterized as true belief with an explanatory account (λόγος), interpreted in modern terms as justification.[1] Gettier's argument assumes the correctness of JTB's necessity but contends it falls short as a sufficiency criterion, as his examples satisfy all three conditions without yielding knowledge.[1] In Gettier's first case, Smith has strong evidence that Jones will be hired for a job and that Jones has ten coins in his pocket, leading Smith to believe that "the man who will get the job has ten coins in his pocket." Unbeknownst to Smith, he himself gets the job and happens to have ten coins, making the belief true and justified based on the evidence about Jones, yet Smith does not know the proposition due to the coincidental shift in referents.[1] The second case involves Smith deducing from evidence that Jones owns a Ford car the disjunctive belief that "either Jones owns a Ford or Brown is in Barcelona," which turns out true because Brown is in Barcelona, even though the evidence about Jones was misleading and the truth accidental.[1] Both scenarios illustrate how justification can rest on falsehoods or luck, preventing genuine knowledge.[1] Gettier's brief three-page paper profoundly reshaped epistemology, igniting decades of debate and prompting numerous proposed solutions to address what additional condition or conditions beyond justified true belief are required for knowledge. Proposed solutions include requiring the absence of false lemmas in justification (e.g., Gilbert Harman's no-false-evidence condition), causal theories requiring an appropriate causal connection between the belief and the truth-maker, defeasibility conditions excluding beliefs undermined by undefeated defeaters, modal conditions such as sensitivity (that the belief would not be held if the proposition were false) and safety (that the belief could not easily have been false), and relevant alternatives accounts requiring the ruling out of relevant alternative possibilities that would falsify the belief.[2] Many proposals involve or support externalist theories of justification, such as reliabilism, which focus on the reliability of belief-forming processes rather than factors internal to the subject's mind.[2] The Gettier problem contributed to the development of externalist approaches in epistemology, challenging internalist views that justification depends solely on the knower's mental states or perspective.[2] Its influence extends to experimental philosophy, where studies examine folk intuitions about Gettier-style cases, and to analyses of epistemic luck, with the work inspiring subfields dedicated to refining definitions of knowledge.[3] The problem remains central to epistemology curricula and ongoing research, yet no consensus solution has emerged, underscoring the enduring complexity of defining knowledge.[2]

Background

Traditional Account of Knowledge

In traditional epistemology, knowledge has been analyzed as justified true belief (JTB), a tripartite account holding that a subject S knows a proposition p if and only if S believes p, p is true, and S is justified in believing p.[2] This definition posits that mere true belief is insufficient for knowledge, as it may arise from luck or accident, while justification ensures the belief is epistemically warranted.[2] The components of JTB are distinct yet interdependent. Truth requires that the proposition accurately represents the facts of the world, establishing propositional accuracy as a necessary condition.[2] Belief involves the subject's psychological acceptance or conviction in the proposition's truth.[2] Justification, the most complex element, demands sufficient evidence, reliable reasoning, or other epistemic grounds that make the belief rationally acceptable, distinguishing knowledge from mere opinion or guesswork.[2] This account originates in ancient philosophy, particularly Plato's Theaetetus (c. 369 BCE), where knowledge is distinguished from true opinion (or belief) by the addition of an explanatory account (logos), which serves as a form of justification to stabilize the belief against error or forgetfulness.[4] Aristotle, in his Posterior Analytics, builds on this by defining scientific knowledge (epistēmē) as grasping universal truths through demonstrative syllogisms grounded in first principles, implying a structure akin to justified true belief where understanding derives from causal explanations.[5] In the medieval period, Thomas Aquinas endorsed a compatible view in his Summa Theologica, describing intellectual knowledge as firm assent to truth based on evident principles or reliable testimony, thereby integrating justification with truth and belief. By the early twentieth century, the JTB analysis became the standard in analytic epistemology. A. J. Ayer, in The Problem of Knowledge (1956), explicitly formulated it as the necessary and sufficient conditions for knowledge: the subject must believe the proposition, it must be true, and the subject must have adequate evidence or grounds for the belief.[6] Roderick Chisholm similarly upheld JTB in works like Perceiving: A Philosophical Study (1957), emphasizing justification as what elevates true belief to knowledge through internalist access to reasons.[7]

Historical Context of JTB

In the early 20th century, the logical positivist movement profoundly shaped analytic epistemology by prioritizing empirical verification and formal methods for assessing belief justification. Rudolf Carnap, a prominent positivist, advanced this through his development of inductive logic, treating justification as a matter of probabilistic confirmation between evidence and hypotheses. In his 1950 work Logical Foundations of Probability, Carnap introduced the degree of confirmation $ c(h, e) $, defined as the logical probability of a hypothesis $ h $ given evidence $ e $, using measure functions where $ c(h, e) = m(e \cdot h) / m(e) $, with $ m $ representing a regular probability measure over state-descriptions; this framework provided a quantitative basis for epistemic warrant, influencing subsequent views on how beliefs could be rationally supported without relying on metaphysical assumptions.[8] Following World War II, the analytic tradition in Anglo-American philosophy entrenched the justified true belief (JTB) account as the standard analysis of knowledge, bridging positivist rigor with phenomenological concerns about perception and evidence. A.J. Ayer's 1956 The Problem of Knowledge explicitly endorsed JTB, contending that a claim to knowledge demands not only truth and belief but also evidential backing sufficient to warrant acceptance, as he stated: "In a given instance it is possible to decide whether the backing is strong enough to justify a claim to knowledge." Ayer dismissed true beliefs lacking such justification—mere "true opinion"—as failing to meet epistemic standards, arguing that without adequate grounds, they do not constitute genuine understanding of the world.[9] Complementing this, Roderick Chisholm's 1957 Perceiving: A Philosophical Study explored knowledge from immediate experience, defining adequate evidence in perceptual contexts as conditions under which a subject $ S $ takes something to be $ f $ with sufficient internal warrant, such that "there is something that appears to S, S takes it to be f, and S has adequate evidence for doing so."[10] Chisholm, a key proponent of foundationalism, further refined internalist criteria for justification, positing that epistemic warrant derives from self-evident foundational beliefs accessible to the subject's consciousness, which non-inferentially support broader knowledge claims. This internalist approach emphasized the agent's direct apprehension of evidential relations, ensuring justification remained within the realm of mental states rather than external reliability. By the late 1950s, amid the rise of analytic philosophy in American university departments—fueled by émigré scholars and institutional shifts toward methodological precision—JTB emerged as the unchallenged orthodoxy in epistemology, dominating curricula and research as the presumed definitional core of knowledge.[11]

The Gettier Challenge

Overview of Gettier's 1963 Paper

Edmund L. Gettier, then a young assistant professor of philosophy at Wayne State University, published his groundbreaking three-page paper titled "Is Justified True Belief Knowledge?" in the journal Analysis, volume 23, number 6, in June 1963, on pages 121–123.[12][13] The article emerged as a direct response to the then-prevailing consensus in analytic epistemology that knowledge could be fully analyzed as justified true belief (JTB), a view that had gained prominence through the works of philosophers like A. J. Ayer and others in the mid-20th century.[1] Gettier, having recently completed his PhD at Cornell University in 1961, challenged this orthodoxy by demonstrating its limitations through concise logical argumentation.[14] At its core, Gettier's thesis posits that the conditions of justified true belief—namely, that a subject believes a proposition, the proposition is true, and the belief is justified—are necessary but not sufficient for knowledge.[12] He illustrates this claim with two carefully constructed counterexamples, in each of which a subject possesses a justified true belief that intuitively fails to qualify as knowledge due to the presence of epistemically misleading elements.[12] Gettier's methodological approach is notably restrained: he grants the necessity of the JTB conditions for the sake of argument and focuses exclusively on undermining their sufficiency via these thought experiments, without proposing an alternative analysis of knowledge.[12] This targeted strategy underscores his aim to disrupt the foundational assumptions of contemporary epistemology rather than to resolve the resulting puzzles.[13] The paper's publication marked a pivotal turning point in the field, igniting an enduring debate on the nature of knowledge that persists more than six decades later.[3] It has been cited thousands of times across philosophical literature, spawning countless responses, refinements, and entire subfields dedicated to addressing its implications.[15][3]

Case I: The Ten Coins Example

In his 1963 paper, Edmund Gettier presents Case I as a counterexample to the traditional analysis of knowledge as justified true belief (JTB). Suppose Smith and Jones have both applied for the same job. Smith has strong evidence for the conjunctive proposition (d): Jones is the man who will get the job, and Jones has ten coins in his pocket. This evidence includes the company president's explicit assurance that Jones will be hired and Smith's recent firsthand count of exactly ten coins in Jones's pocket.[1] From (d), Smith recognizes that the following proposition (e) necessarily follows: The man who will get the job has ten coins in his pocket. Smith therefore deduces (e) and justifiably believes it to be true, as his evidence for (d) provides indirect justification for the entailed (e).[1] Unbeknownst to Smith, however, the company hires him instead of Jones, and—by sheer coincidence—Smith himself has ten coins in his pocket at that moment. As a result, proposition (e) turns out to be true, Smith believes it, and his belief is justified based on the evidence he possesses.[1] Despite satisfying the three conditions of the JTB account, Smith's belief in (e) does not constitute knowledge, as its truth depends on a lucky accident rather than the grounds of his justification, which presuppose the falsity of the premise that Jones will get the job.[1] This scenario demonstrates how a belief can be justified through a chain of reasoning that incorporates a false lemma—here, the incorrect identification of Jones as the hiree—yet still arrive at a true conclusion by chance.[1] The case thus gives rise to the intuition that knowledge requires justification free from such false premises, underscoring a fundamental flaw in the JTB analysis by showing that justification alone cannot ensure the absence of epistemically irrelevant luck. In philosophical terms, Smith's "Gettiered" belief exemplifies epistemic luck, where the truth aligns coincidentally with the belief without being reliably connected to the supporting evidence.

Case II: The Ford Example

In his 1963 paper, Edmund Gettier presents Case II as a further counterexample to the traditional analysis of knowledge as justified true belief (JTB). Suppose Smith has strong evidence that Jones owns a Ford car, including Jones offering to drive Smith in it and showing the registration. Based on this, Smith justifiably believes the proposition (h): "Jones owns a Ford."[1] Smith then forms three disjunctive beliefs, including (i): "Either Jones owns a Ford or Brown is in Barcelona," which logically follows from (h) since the disjunction is true if either disjunct is. Smith has no evidence about Brown's whereabouts but deduces (i) as justified by his evidence for the first disjunct. He thus justifiably believes (i).[1] Unbeknownst to Smith, however, Jones does not own a Ford after all (the evidence was misleading). But, coincidentally, Brown is in Barcelona. As a result, proposition (i) turns out to be true, Smith believes it, and his belief is justified based on the evidence about Jones.[1] Despite satisfying the three conditions of the JTB account, Smith's belief in (i) does not constitute knowledge, as its truth depends on a lucky accident (Brown's location) rather than the grounds of his justification, which rest on the false premise about the Ford.[1] This scenario demonstrates how a belief can be justified through a disjunction where the supporting evidence concerns a false disjunct, yet the overall belief is true by chance.[1] The case thus reinforces the intuition that knowledge requires more than JTB, as justification can incorporate falsehoods or luck, preventing a reliable connection to truth. In philosophical terms, it exemplifies how epistemic luck can arise from inferential structures involving false lemmas.

Extensions of the Problem

Generalized Gettier Cases

Generalized Gettier cases encompass any epistemic scenario in which a subject's belief is both justified and true yet does not qualify as knowledge because the truth arises accidentally, rather than through the justificatory process itself. These cases generalize the structure identified in Edmund Gettier's 1963 counterexamples, demonstrating that the justified true belief (JTB) account of knowledge is vulnerable wherever justification fails to guarantee a non-lucky connection to the truth. Philosophers have recognized this pattern as a systemic issue, indicating that JTB sufficiency breaks down not merely in isolated instances but across a wide array of situations involving fallible evidence.[16] A hallmark of these cases is the presence of epistemic luck, which undermines the belief's status as knowledge despite its justification and truth. This luck can manifest as veritic luck, where the subject is fortunate to hold a true belief amid possible falsehoods, or environmental luck, where the surrounding circumstances coincidentally align to make the belief true without broader reliability. Such "Gettiered" beliefs highlight how even robust-seeming justifications can lead to knowledge only by chance, prompting the term "Gettiered" to describe beliefs that mimic knowledge but fall short due to this accidental element. Beyond Gettier's prototypes, numerous examples illustrate this generalization. In the stopped clock case, a person glances at a broken clock that happens to show the correct time, forming a justified true belief about the current hour based on the apparent reliability of the timepiece; however, since the clock is malfunctioning, the belief does not constitute knowledge. Similarly, in the fake barn case, a driver believes there is a barn ahead upon seeing a roadside structure that resembles one, and it is indeed a genuine barn, but unbeknownst to the driver, the area is filled with indistinguishable barn facades—thus, the true belief is environmentally lucky and not knowledge. Another variant involves a pyromaniac who justifiably believes a match will light based on the brand's reputation for reliability, strikes it, and it ignites because it is not a dud (unlike the rest in the box), yielding a true belief that succeeds only coincidentally. These cases underscore the philosophical import: the Gettier problem reveals a fundamental flaw in JTB, as the accidental truth in such scenarios shows that justification alone cannot ensure knowledge, affecting the analysis universally rather than being confined to specific setups.[17] Early extensions of Gettier's ideas further emphasized this breadth. For instance, Brian Skyrms (1967) developed infinite series of Gettier cases, such as escalating variants of the pyromaniac scenario, to argue that no finite adjustment to JTB could fully immunize it against such counterexamples, illustrating the problem's pervasive nature in deductive and inductive reasoning alike. Roderick Chisholm (1966) contributed the sheep in the field case, where a distant sheep-like shape justifies the belief that a sheep is present, and there is one nearby (though unseen), but the visible object is actually a dog—again, true by luck. These post-1963 developments confirmed that Gettier-style challenges proliferate across epistemic contexts, reinforcing the need for a revised account of knowledge.[17]

Role of False Lemmas

In Gettier cases, a false lemma refers to an unjustified false belief or premise that serves as an intermediate step in the reasoning process leading to a true belief, where the subject's justification relies on this falsehood despite the final belief being true.[2] For instance, in Gettier's first case, the protagonist Smith's belief that "the man who will get the job has ten coins in his pocket" is true, but it stems from the false lemma that Jones (not Smith) will get the job, which Smith justifiably believes based on misleading evidence.[16] False lemmas are prevalent in inferential Gettier cases, where the subject's knowledge claim arises through deductive or inductive reasoning from prior beliefs, many of which turn out false by coincidence.[2] However, they are absent in certain perceptual Gettier scenarios, such as those involving environmental luck, where the belief forms directly from sensory input without intermediary falsehoods.[16] One early response to the Gettier problem proposed adding a "no false lemmas" condition to the justified true belief (JTB) account of knowledge, stipulating that a subject's belief must not be inferred from any falsehood to qualify as knowledge.[18] Michael Clark, in his 1963 commentary on Gettier's paper, articulated a version of this as "no false grounds," arguing that knowledge requires grounds that are not only justifying but also true, thereby excluding derivations from false premises like those in Gettier's examples.[19] This approach aimed to block the epistemic luck introduced by false intermediates, but critics contended it was overly restrictive, potentially disqualifying ordinary knowledge claims that inadvertently rely on minor falsehoods in complex reasoning chains.[2] The debate over false lemmas featured prominently in early post-Gettier discussions, with Roderick Chisholm proposing in his 1966 Theory of Knowledge a strengthened notion of justification that requires beliefs to be "directly evident," emphasizing a non-inferential evidential structure to avoid Gettier-style defeaters.[7] Chisholm's condition sought to ensure that justification traces back to basic, self-evident propositions.[20] Despite these efforts, the no false lemmas fix has significant limitations, as it fails to address Gettier cases lacking explicit false premises, such as Alvin Goldman's 1976 fake barn example, where a driver justifiably believes "there is a barn" upon seeing a real one from afar, unaware of surrounding facades that make the true belief lucky rather than knowledgeable.[16] In such perceptual cases, no false lemma is involved, yet the belief does not constitute knowledge due to the counterfactual fragility of the justification.[2]

Methods for Constructing Gettier Scenarios

Philosophers have developed systematic methods for constructing Gettier scenarios to probe the limitations of analyses of knowledge, particularly those attempting to modify the justified true belief (JTB) account. These methods typically involve engineering situations where a subject's belief meets the conditions of justification and truth but fails to constitute knowledge due to an element of epistemic luck. A foundational approach, articulated by Linda Zagzebski, provides a general recipe for generating such cases: begin with a justified false belief that p; introduce a second justified belief that q, where q is at least as well justified as p and contradicts p; allow p and q to jointly entail a further proposition r; have the subject deduce and justifiably believe r from p and q; and arrange for r to be true independently of the false belief in p. This framework ensures the resulting belief in r is justified and true but connected to truth only accidentally, as the justification traces back to a falsehood. Gettier scenarios can be categorized by the source of the epistemic luck involved, facilitating targeted construction to test specific theories. Inferential cases rely on a false lemma or intermediate belief that leads to the true conclusion; for instance, the subject infers a true proposition from a justified but erroneous premise, where the error masks the actual grounds for truth.[2] Perceptual cases exploit misleading environmental features, such as illusions or deceptive setups that justify a belief appearing true in context but succeeding only by chance; classic constructions involve altering the surroundings to create false perceptual cues while preserving the target's truth.[21] Testimonial cases incorporate deceptive or unreliable sources, where the subject justifiably believes testimony based on the speaker's false premise, yielding a true belief through coincidental alignment rather than reliable transmission.[22] These types draw from original Gettier templates but adapt them to diverse justificatory sources, ensuring broad applicability. Key tools in constructing these scenarios include designing infinite regress structures, where justification chains backward through multiple layers of false or lucky beliefs. Such tools allow constructors to simulate complex real-world epistemologies, like deceptive simulations where beliefs hold true amid fabricated realities. The primary purpose of these constructions is to circumvent proposed amendments to JTB, such as no-false-lemmas requirements or reliability constraints, by revealing how easily new cases arise under varied conditions. The evolution of these methods reflects a shift from ad hoc examples in the 1960s, which relied on intuitive counterexamples to initial JTB challenges, to more structured frameworks by the 1990s and formal models in epistemic logic, including developments up to the early 2020s. Early constructions, like those immediately following Gettier's 1963 paper, were narrative-driven and sporadic, focusing on isolated instances to highlight flaws. By contrast, later developments emphasized generality and inescapability, with recipes like Zagzebski's demonstrating that Gettier-style problems persist across any plausible analysis incorporating a justification-like condition. These formalizations integrated logical structures, such as modal operators for possible worlds, to model luck and justification systematically, enabling algorithmic generation of scenarios that predictably defeat theoretical fixes. This progression has enriched epistemological methodology, prioritizing robust, replicable patterns over one-off illustrations.[23]

Responses to the Gettier Problem

Fourth Condition Additions to JTB

Following the publication of Edmund Gettier's 1963 paper, which demonstrated that justified true belief (JTB) is insufficient for knowledge due to cases involving epistemic luck, epistemologists sought to preserve the JTB framework by appending a fourth condition designed to exclude such luck. This approach posits that knowledge is JTB plus an additional requirement, often framed as the absence of relevant falsehoods in the justification or a suitable link between belief and truth that prevents coincidental alignment.[24] The general strategy aims to block Gettier-style scenarios, where a subject's belief is justified and true but rests on a false lemma or misleading evidence, by ensuring the justification process is robust against such interferences. One prominent early proposal was Gilbert Harman's no-false-lemmas condition, introduced in his 1973 book Thought. Harman argues that for a belief to constitute knowledge, the justification must not rely on any false lemmas (intermediate false beliefs or premises). In Gettier cases, the justification chains include false steps (e.g., believing Jones will get the job when Smith does), so excluding such falsehoods blocks the counterexamples while preserving JTB for standard cases. However, critics note that some Gettier-style problems arise without inference or false lemmas, such as perceptual illusions leading to lucky true beliefs.[2] Another early proposal was Alvin Goldman's causal theory, articulated in his 1967 paper "A Causal Theory of Knowing." Goldman maintains that for a subject S to know that p, in addition to p being true, S believing p, and S being justified in believing p, the fact that p must stand in an "appropriate causal relation" to S's belief.[25] This fourth condition requires that the belief be causally sustained by the fact itself through a reliable process, rather than by extraneous factors. In Gettier cases, such as the first example where Smith's belief that "the man who will get the job has ten coins in his pocket" is justified by evidence that Jones has ten coins and will get the job, but true because Smith gets the job and has ten coins, Goldman argues there is no direct causal link from the fact (Smith having ten coins) to the belief, as the justification derives from mistaken premises about Jones.[25] Thus, the theory excludes these as knowledge by demanding causation that aligns belief with reality without deviation. Building on similar concerns, Keith Lehrer and Thomas Paxson Jr. developed a defeasibility theory in their 1969 article "Knowledge: Undefeated Justified True Belief." They define knowledge as justified true belief that is "undefeated," meaning the fourth condition is that there exists no true proposition (a "defeater") which, when conjoined with the subject's evidence, would render the belief unjustified.[26] Defeaters can be rebutting (directly contradicting the belief) or undercutting (weakening the evidential support), but the key is that the justification must withstand all such potential underminers. Applied to Gettier cases, the false lemma acts as a defeater: if the subject learned the truth about the misleading evidence, it would defeat the justification. For example, in scenarios where a belief about a team's players relies on false information about one member but is true due to others, the falsehood serves as an underminer.[26] This condition ensures knowledge only when the evidential base is resilient to counterevidence. David Armstrong, in his 1973 book Belief, Truth and Knowledge, extends this tradition with a reliabilist variant that incorporates contextual reliability and pragmatic elements. Armstrong proposes that knowledge requires JTB plus the belief being formed by a process that is reliable in the given context, effectively adding a fourth condition of "practical success" through truth-conducive mechanisms.[27] He analogizes this to a thermometer reliably indicating temperature, arguing that in Gettier scenarios, the belief-formation process fails reliability because it depends on unreliable inferences (e.g., false premises leading to accidental truth).[27] Armstrong's approach emphasizes that justification must link to worldly success, preventing knowledge attributions where luck intervenes despite apparent evidential support. These fourth-condition additions demonstrate strengths in addressing the original Gettier cases by targeting the element of luck: causal theories ensure direct linkage to facts, defeasibility theories safeguard against hidden underminers, and reliabilist variants like Armstrong's promote truth-tracking processes.[28] However, they face weaknesses against constructed counterexamples. For instance, causal theories are vulnerable to "deviant causal chains," where the fact causes the belief but through an unreliable intermediary (e.g., a belief triggered by a misleading environmental cue that coincidentally aligns with the fact), still yielding intuitive non-knowledge.[28] Defeasibility theories struggle with specifying defeaters, as potential but unrealized counterevidence might overexclude ordinary knowledge, or actualized defeaters in complex scenarios could fail to capture all luck.[29] Armstrong's reliabilism, while context-sensitive, encounters problems in cases of environmental unreliability, such as fake barn facades where perception seems reliable locally but is not globally, allowing justified true beliefs without knowledge.[30] Overall, these proposals salvage JTB minimally but highlight the challenge of formulating a condition resilient to iterative counterexamples.[24]

Alternative Definitions of Justification

In response to the Gettier problem, several epistemologists proposed redefining justification to emphasize external relations between belief and truth, rather than internalist conditions like evidential support. These alternatives aim to ensure that justified beliefs are reliably connected to reality, thereby excluding Gettier-style cases where true beliefs arise accidentally.[31] One prominent approach is Robert Nozick's tracking theory, outlined in his 1981 book Philosophical Explanations. Nozick defines knowledge as true belief that tracks the truth, incorporating two conditions: adherence and sensitivity. Adherence requires that, in nearby possible worlds where the proposition is true, the believer would hold the belief; sensitivity requires that, in nearby possible worlds where the proposition is false, the believer would not hold the belief. This externalist framework redefines justification implicitly as a counterfactual dependence on truth, aiming to block Gettier cases by ensuring beliefs are non-accidentally true.[31][32] Related to Nozick's tracking theory are safety conditions, advanced by Duncan Pritchard and others. Safety requires that the belief could not easily have been false, meaning there are no close possible worlds in which the subject believes the proposition but the proposition is false. This condition addresses Gettier cases by excluding instances where the truth of a justified belief depends on epistemic luck, ensuring robustness in the belief's truth across similar circumstances.[2] Fred Dretske developed a related externalist view in his 1981 work Knowledge and the Flow of Information, building on his earlier concept of conclusive reasons. Justification, for Dretske, consists of reasons that conclusively entail the truth of the believed proposition, meaning the evidence excludes all relevant alternatives where the belief would be false. This constitutes a relevant alternatives account of justification. In perceptual cases, for instance, seeing a zebra provides conclusive reasons only if the visual information flow rules out misleading possibilities like painted mules. This approach treats justification as an informational link that guarantees truth, addressing Gettier problems by requiring evidence that definitively channels accurate belief formation. Alvin Goldman's reliabilism, refined after his 1976 shift from causal theories, posits that justification arises from reliable belief-forming processes. In his 1979 paper "What Is Justified Belief?", Goldman argues that a belief is justified if produced by a process with a high truth ratio across normal conditions, such as perception or memory under typical circumstances. This process reliabilism reorients justification away from subjective factors toward objective reliability, intending to evade Gettier counterexamples by ensuring true beliefs stem from truth-conducive mechanisms rather than luck. Ernest Sosa linked reliabilism to virtue epistemology in his 1980 essay "The Raft and the Pyramid: Coherence versus Foundations in the Theory of Knowledge." Sosa views justification as the exercise of intellectual virtues—innate faculties like perception or reason that reliably produce true beliefs when properly functioning. A belief is justified if it manifests such virtues in apt conditions, yielding reliable justification that integrates foundationalism with reliability. This virtue-based redefinition emphasizes the agent's cognitive competencies, positioning knowledge as true belief arising from virtuous performance. Critics argue that these alternatives face significant challenges. Nozick's tracking theory fails to preserve epistemic closure, the principle that if one knows a proposition and its entailments, one knows the implications; for example, one might track a fact without tracking its necessary consequences in nearby worlds, leading to counterintuitive denials of knowledge. Reliabilism encounters Gettier-like issues in cases like the fake barn scenario, where a driver reliably perceives a real barn amid facades, forming a true belief via a generally reliable visual process, yet the belief seems unjustified due to environmental luck.

Skeptical and Perspectival Views

Skeptical responses to the Gettier problem maintain that the cases demonstrate fundamental limitations in the project of analyzing knowledge, leading to the conclusion that no non-skeptical account can fully capture the concept without vulnerability to counterexamples. Richard L. Kirkham argues in his 1984 paper that the Gettier problem rests not on a mistake but on an inherent impossibility: any attempt to define knowledge as justified true belief plus additional conditions will either fail to exclude Gettier cases or collapse into skepticism by requiring unattainably strict standards of justification.[33] According to Kirkham, this proves the impossibility of a complete, non-skeptical definition of knowledge, as the problem arises from the tension between fallible justification and the requirement for truth.[33] Perspectival views, in contrast, emphasize the context-relativity of knowledge attributions, suggesting that Gettier cases highlight disputes at the boundaries of different epistemic perspectives rather than a universal flaw. Robert J. Fogelin, in his 1994 book, develops a perspectival account influenced by Pyrrhonian skepticism, where knowledge claims vary depending on the level of scrutiny or context applied; Gettier scenarios reveal aporiae—unresolvable tensions—arising when ordinary, low-scrutiny perspectives clash with philosophical, high-scrutiny demands.[34] Fogelin contends that these boundary disputes show why efforts to analyze knowledge lead to endless regress or skepticism, advocating instead for recognizing the legitimacy of multiple, incommensurable perspectives on justification and knowledge.[34] Pyrrhonian influences further underscore this by drawing on ancient skeptical traditions to dissolve the problem through attention to ordinary language and practice. Avrum Stroll, in his 1994 analysis of certainty and skepticism, invokes Wittgensteinian methods to argue that Gettier-style puzzles stem from misapplications of language in abstract analysis, rather than genuine conceptual defects; by examining how "knowledge" functions in everyday contexts, the apparent need for a precise definition dissolves, suspending judgment on the philosophical quest for necessity.[35] This approach aligns with Pyrrhonian suspension of belief in dogmatic analyses, prioritizing practical epistemic norms over theoretical resolution.[35] These views carry implications for epistemology by shifting emphasis from reductive analysis to practical concerns, such as how agents navigate knowledge claims in real-world contexts without requiring an unattainable ideal definition.[34] They encourage a focus on the contextual and perspectival dimensions of epistemic evaluation, influencing discussions in applied epistemology and ordinary language philosophy.[35] Critics, however, argue that such skeptical and perspectival approaches undermine the progress of analytic epistemology by evading the core challenge rather than addressing it constructively. For instance, they are accused of quietism that avoids providing a workable account of knowledge, potentially leading to an unhelpful relativism or outright skepticism about philosophical inquiry.[36] This evasion is seen as particularly problematic in light of ongoing efforts to refine knowledge analyses, rendering these views more diagnostic than solution-oriented.[16]

Dissolutionist Approaches

Dissolutionist approaches to the Gettier problem contend that the challenge arises from misguided assumptions about the nature of knowledge, particularly the insistence on analyzing it through necessary and sufficient conditions like justified true belief (JTB). These views seek to dissolve the problem by reexamining linguistic and conceptual practices surrounding knowledge attributions, arguing that Gettier cases do not expose a genuine flaw but rather highlight confusions in philosophical analysis. Rather than proposing amendments to JTB, dissolutionists emphasize that the problem evaporates when we abandon the quest for a rigid definition. Wittgensteinian perspectives, inspired by Ludwig Wittgenstein's later philosophy, reject the tripartite structure of JTB as an artificial imposition on ordinary language. Wittgenstein argued that concepts like "knowledge" function through overlapping similarities or "family resemblances" among cases, without requiring a common essence or strict analysis into components such as justification, truth, and belief. In this view, attempts to define knowledge analytically, as Gettier presupposes, generate pseudo-problems by ignoring how language games in everyday use allow flexible attributions of knowledge that do not demand uniform conditions. Philosophers in this tradition, such as those extending Wittgenstein's insights, maintain that Gettier scenarios fail to undermine knowledge claims because "knowing" lacks the precise boundaries needed for such counterexamples to bite, dissolving the apparent paradox through clarification of conceptual use.[37] Contextualist dissolution draws on variations in how knowledge is attributed across conversational contexts, suggesting that Gettier cases appear problematic only under a fixed, overly stringent interpretation. Keith DeRose's contextualism posits that the standards for "knowledge" shift with contextual factors, such as stakes or salient alternatives, rendering attributions elastic rather than absolute.[38] In Gettier-like situations, heightened contextual sensitivity might lead to denying knowledge where ordinary contexts would affirm it, but this variability dissolves the need for a universal JTB counterexample, as no single, context-invariant analysis is required. DeRose argues that such cases do not refute JTB outright but reveal how philosophical puzzles stem from ignoring contextual flux in language.[38] Some dissolutionists reject the necessity of justification altogether within the concept of knowledge, allowing for cases where true belief counts as knowledge even without robust epistemic support. Stephen Hetherington, in his critique of epistemological dogmas, proposes that knowledge can be "good" or "bad," with Gettiered beliefs qualifying as the latter—true and believed, but poorly grounded—thus preserving a minimal JTB while denying that justification is invariably required. This approach dissolves the problem by challenging the assumption that all knowledge must meet high justificatory standards, viewing Gettier scenarios as edge cases of inferior but genuine knowledge rather than definitive refutations. Hetherington's view underscores that the quest for necessity in JTB creates an illusory crisis, resolvable by accepting graded epistemic qualities. More recent refutations target Gettier's own assumptions about justification, arguing that his cases mischaracterize what counts as proper epistemic warrant. By reinterpreting justification as inherently truth-conducive in context, such analyses show that the subjects in Gettier cases lack true justification, rendering the beliefs non-knowledge without needing to alter JTB. This dissolution highlights a linguistic or conceptual oversight in Gettier's setup, emphasizing anti-analytic turns that prioritize practical epistemic norms over abstract analysis. Overall, these approaches share a pragmatic orientation, viewing the Gettier problem as a byproduct of overanalyzing knowledge in isolation from its use in language and inquiry, thereby dissolving it through therapeutic clarification rather than reconstruction. While related to skeptical views that question epistemic certainty, dissolutionism distinctively eliminates the problem's force by reframing foundational assumptions.

Contemporary Developments

Experimental Epistemology

Experimental epistemology applies empirical methods to investigate ordinary people's intuitions about knowledge, particularly in Gettier-style scenarios where justified true beliefs fail to constitute knowledge due to luck or misleading factors. This subfield originated with studies examining whether folk attributions align with philosophical analyses of the Gettier problem. A seminal paper by Weinberg, Nichols, and Stich (2001) revealed cultural differences in epistemic intuitions, showing that East Asian participants were less likely than Western participants to deny knowledge in a Gettier-like case involving order and content, suggesting that intuitions may not be universal and challenging the reliability of intuition-based epistemology.[39] Key findings from 2000s surveys indicated inconsistent folk responses to Gettier cases, with many participants denying knowledge despite justification and truth. For example, in the barn façade scenario—a classic extension of Gettier cases where a driver unknowingly views a real barn amid fakes—approximately 60-70% of respondents rejected knowledge attributions, though rates varied by study design and population. These results highlighted that ordinary intuitions often diverge from the near-unanimous philosophical consensus that such cases lack knowledge, prompting questions about the robustness of Gettier-driven theories.[40] Methodologically, experimental epistemologists use vignette-based surveys, presenting participants with detailed hypothetical scenarios and asking them to judge knowledge possession on Likert scales or yes/no formats. Research has uncovered contextual influences, such as order effects, where the presentation sequence of cases alters attributions; Nagel (2010) demonstrated that prompting thoughts of error before a Gettier vignette increases denial rates, attributing this to heightened sensitivity to potential mistakes. These approaches allow for controlled testing of variables like cultural background or cognitive load, revealing how situational factors shape intuitive judgments. The empirical data have fueled debates on whether variable folk intuitions undermine analytic epistemology's reliance on shared conceptual intuitions. Critics argue that such instability erodes the evidential value of thought experiments, while defenders contend that core Gettier effects persist across groups. Cross-cultural investigations, including those by Machery (2018), have documented variances in epistemic judgments but emphasized greater uniformity in responses to standard Gettier cases than early studies suggested, complicating claims of radical relativism. Post-2020 developments remain limited, focusing on replication to address concerns over intuition instability. Large-scale, multilaboratory efforts have largely confirmed the Gettier intuition— with about 57% of participants denying knowledge in aggregated Gettier conditions across diverse cultures—but noted variability by vignette type and minor contextual moderators, underscoring the need for cautious interpretation in philosophical applications.[40]

Applications in Epistemic Logic

Epistemic logic formalizes the concept of knowledge using possible worlds semantics, originally developed by Saul Kripke in his 1963 work on modal logic, where the knowledge operator $ K\phi $ is interpreted as ϕ\phi being true in all worlds accessible to the agent from the actual world. This framework, building on Jaakko Hintikka's 1962 introduction of epistemic operators, models justification and belief through accessibility relations that capture an agent's epistemic state, distinguishing knowledge as factive—implying truth—while allowing for non-factive justified beliefs. In this logical setting, Gettier problems arise in models where justified true belief does not entail knowledge, often due to accessibility relations that are reflexive but non-transitive or non-Euclidean, permitting scenarios with "defeaters" such as misleading evidence or environmental contingencies.[41] For instance, Timothy Williamson's epistemic models use ordered pairs of worlds to represent appearance-reality gaps, where an agent's justified belief in a true proposition fails to constitute knowledge because additional accessible worlds introduce ignorance, violating S4 or S5 axioms like positive introspection (KKφ → Kφ).[42] These models illustrate non-factive justification through doxastic accessibility relations that link belief to potential knowledge but allow for epistemic asymmetry, where belief holds without the necessity of truth across all relevant worlds.[41] A formal representation of Gettier cases in such systems captures the dissociation as justified true belief without knowledge:
JTB(ϕ)¬K(ϕ) \text{JTB}(\phi) \land \neg K(\phi)
Here, JTB(ϕ)\text{JTB}(\phi) denotes the agent's justified belief in ϕ\phi conjoined with ϕ\phi's truth, while ¬K(ϕ)\neg K(\phi) arises from defeaters in the accessibility relation, such as non-transitivity in S4-like structures or failures of the B axiom (φ → K(Bφ → φ)) in S5 extensions.[42] This formulation highlights how logical constraints on relations prevent JTB from implying knowledge, replicating intuitive Gettier scenarios without relying on informal examples.[41] Recent developments in topological epistemic logic have reframed these JTB failures by interpreting knowledge and belief over topological spaces, where open sets model verifiable truths and closures represent justified beliefs.[43] Thomas Mormann's 2023 analysis demonstrates that Gettier situations—propositions satisfying justified true belief but not knowledge—are inevitable in most topological models, as nowhere dense sets encode undetectable epistemic flaws, though they can be avoided in specialized nodec spaces or JTB-doppelgangers of Stalnaker's KB logic.[43] Building on this, Mormann's 2025 work on the topological Gettier problem explores how such cases widen ignorance gaps between knowledge (interior operator) and justified belief (derived set operator), particularly in non-pseudocompact Hausdorff spaces where co-derived semantics inevitably "Gettierizes" belief, underscoring the inescapability of these divergences in standard topological frameworks.[44] These logical applications extend to AI epistemology by providing formal tools to model machine "knowledge" in uncertain environments, distinguishing reliable inference from Gettier-like errors in belief formation algorithms.[45] Moreover, the inescapability of Gettier cases in certain modal and topological systems, such as those with asymmetric accessibility or compact topologies, suggests inherent limitations in defining knowledge purely in terms of justification and truth, informing debates on epistemic norms in both human and artificial agents.[44]

Inescapability and Value Debates

Linda Zagzebski has argued that Gettier problems are inescapable for any analysis of knowledge that takes the form of true belief plus some additional condition, as long as that condition does not guarantee the truth of the belief.[46] In her analysis, she demonstrates that for virtually any proposed factor X intended to elevate true belief to knowledge, one can construct a scenario where a subject holds a true belief grounded in X, yet the belief's truth arises through irrelevant luck or coincidence, mirroring Gettier cases.[47] This inescapability arises because justification or similar conditions can support false lemmas that indirectly lead to true beliefs, undermining the reliability of the analysis without entailing skepticism about knowledge itself.[48] Recent discussions in the 2020s have reinforced the persistence of these challenges in post-Gettier epistemology. John Greco traces key shifts in epistemological methodology following Gettier, emphasizing how responses have moved toward virtue-theoretic and reliabilist frameworks, yet still grapple with contrived counterexamples that exploit epistemic luck.[49] Similarly, chapters in Stephen Hetherington's 2022 exploration of knowledge definitions highlight ongoing difficulties in formulating Gettier-proof accounts, particularly in modalized epistemologies that attempt to incorporate safety or sensitivity conditions without succumbing to overly restrictive requirements. These arguments suggest that while post-Gettier theories have diversified, the core issue of luck in belief formation remains a structural hurdle for belief-plus analyses. The inescapability of Gettier problems intersects with debates over the value of knowledge, particularly in addressing Plato's Meno problem: why knowledge is more valuable than mere true opinion. Duncan Pritchard contends that knowledge's value stems from its anti-luck character, which provides a stable basis for action and inquiry that true belief alone lacks, as Gettier cases illustrate how luck can render true beliefs epistemically defective.[50] This anti-luck status explains knowledge's instrumental and final value, tying it to practical reliability beyond the fragility of accidental truths.[51] Pritchard's view updates earlier discussions by integrating epistemic safety, arguing that only beliefs robust against Gettier-style luck merit the heightened epistemic standing of knowledge.[52] A central debate concerns whether the inescapability thesis inevitably leads to skepticism. Some philosophers worry that acknowledging pervasive Gettier threats might erode confidence in everyday knowledge claims, potentially fostering radical doubt if no analysis can fully evade luck. However, others, drawing on historical analyses of Gettier-style problems, maintain that this does not collapse into skepticism, as knowledge can be understood non-reductively through contextual or perspectival norms that tolerate residual luck without global defeat.[53] Recent work emphasizes that while inescapability challenges reductive projects, it motivates pluralistic approaches that preserve knowledge's role without skeptical overreach.[54]

References

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