Evidence and Knowledge

How are reasons and evidence interrelated? According to one prevalent view, reasons and evidence are equivalent: evidence is a reason, and a reason is evidence. On another view reasons and evidence are conditionally related: if there is evidence, then there is a reason. On a different view reasons and evidence are disjunctively related: reasons or evidence can be substituted for each other. In this paper, I argue against these common views, and I defend the view that reasons and evidence are (...) conjunctively related: evidence and reasons are distinguishable yet inseparable. I argue reasons and evidence are distinct because they come apart in certain cases, and I argue reasons and evidence are inseparable because only when properly conjoined are they capable of yielding correct verdicts on important cases in epistemology. (shrink)

This paper looks at Timothy Williamson’s formulation of the thesis of Evidence Neutrality (EN). I motivate and argue for an upgraded version of EN by showing that changing one’s assumption about the nature of evidence (i.e. fallibility vs. factivity) generates a different verdict on EN. Then, I show how Williamson’s interpretation of EN is incomplete in light of a principle that guides his complete understanding of the nature of evidence. I reformulate EN to overcome deficiencies in Williamson’s interpretation of EN, (...) and, lastly, I use cases from philosophy and science to show that reformulated‐EN promotes better practices in both domains while, at the same time, it avoids psychologizing evidence. (shrink)

This paper is an early draft of something that we've polished up and posted above: n-1 Guilty Men. Check that one out, if interested.

يوريكا ... كثيرًا ما تُستخدم هذه الكلمة للإشارة إلى لحظة الكشف العلمي، تلك اللحظة الفارقة التي تُولد فيها فجأة فكرةٌ عبقرية في ذهن العالِم أو الباحث، فتفصل بين ما هو غير موجود وما هو موجود، أو بالأحرى بين ما هو غير معروف للمجتمع العملي وما هو سائد ومستهلك حتى بات غير مُشبع لمعالجة المزيد من الوقائع. فما الذي يدفع إلى مثل هذه اللحظة، وماذا يُمكننا أن نفعل لكي تأتي إلينا ونختبرها بشكلٍ مُتكرر؟!

Over the years I’ve written many papers defending an idiosyncratic version of interest-relative epistemology. This book collects and updates the views I’ve expressed over those papers. -/- Interest-relative epistemologies all start in roughly the same way. A big part of what makes knowledge important is that it rationalises action. But for almost anything we purportedly know, there is some action that it wouldn’t rationalise. I know what I had for breakfast, but I wouldn’t take a bet at billion to one (...) odds about it. Knowledge has practical limits. The first idiosyncratic feature of my version of interest-relative epistemology is how those limits are identified. Other interest-relative philosophers typically say that the limits have to do with stakes; in high stakes situations knowledge goes away. That’s no part of my view. I think knowledge goes away in long odds situations. High stakes situations are almost always are long odds situations, for reasons to do with the declining marginal utility of money. But the converse isn’t true. On my view, knowledge often goes away in cases where it is trivial to check before action. This idea, that interests matter in long odds cases, and not just in high stakes cases, is the main constant in what I’ve written on interest-relativity over the years. -/- But there are three other respects in which the view I’m going to set out and defend in this book is very different from the view I set out in older papers. -/- I used to identify the practical limits on knowledge with cases where relying on the purported knowledge would get the wrong answer. I focused, that is, on the outputs of inquiry. Knowledge goes away if relying on it would lead one to make a mistake. I now think I was looking at the wrong end of inquiry. Knowledge goes away if the thinker starts conducting an inquiry where the purported knowledge is an inappropriate starting point, and inappropriate for the special reason that it might be false. Now one way we can tell that something is a bad starting point is that starting there will mean we end up at the wrong place. But it’s not the only way. Sometimes a bad starting point will lead to the right conclusion for the wrong reasons. As the Nyāya philosophers argued, rational inquiry starts with knowledge. If it would be irrational to start this inquiry with a particular belief, that belief isn’t knowledge. -/- Not all inquiries are practical inquiries, but many are. And practical inquiries are usually going to be at the center of attention in this book. But what is someone trying to figure out when they conduct a practical inquiry? I used to think that they were trying to figure out which option maximised expected utility, and to a first approximation identified knowledge with those things one could conditionalise on without changing the option that maximised expected utility. As noted in the previous paragraph, I no longer think that we can identify knowledge with what doesn’t change our verdicts. But more importantly, I no longer think that expected utility maximisation is as central to practical inquiry as I once did. There are some theoretical reasons from game theory that raise some doubts about expected utility maximisation. Weak dominance reasoning is part of our theory of rational choice, and can’t be modelled as expected utility maximisation. Perhaps some kinds of equilibrium seeking are parts of practical inquiry, and can’t be modelled as expected utility maximisation. But there are also very practical reasons to think that practical inquiry doesn’t aim at expected utility maximisation. When there are a lot of very similar options - think about selecting a can from a supermarket shelf - and it’s more trouble than it’s worth to figure out which of them maximises expected utility, it’s best to ignore the differences between them and just pick. As I’ll argue in Chapter 6, this makes a big difference to how interests and knowledge interact. -/- In the version of interest-relativity that I’m defending here, everything in epistemology is interest-relative. Knowledge, rational belief, and evidence are all interest-relative. But they are all interest-relative in slightly different ways. The main aim here is to defend the interest-relativity of knowledge. A common objection to interest-relative theories of knowledge is that they can’t be extended into theories of all the things we care about in epistemology. Here I try to meet that challenge. The way I do so is a little messy. It would be nice if there was some part of epistemology that’s interest-invariant, as I used to think, or if all the interest-relative notions were interest-relative in the same way, as other interest-relative epistemologists argue. For better or worse, that’s not the view I’m defending. Interests matter throughout epistemology, and we just have to go case by case to figure out how and why they matter. (shrink)

Different people reason differently, which means that sometimes they reach different conclusions from the same evidence. We maintain that this is not only natural, but rational. In this essay we explore the epistemology of that state of affairs. First we will canvass arguments for and against the claim that rational methods of reasoning must always reach the same conclusions from the same evidence. Then we will consider whether the acknowledgment that people have divergent rational reasoning methods should undermine one’s confidence (...) in one’s own reasoning. Finally we will explore how agents who employ distinct yet equally rational methods of reasoning should respond to interactions with the products of each others’ reasoning. We find that the epistemology of multiple reasoning methods has been misunderstood by a number of authors writing on epistemic permissiveness and peer disagreement. (shrink)

Offers a diagnosis of the easy knowledge problem, according to which easy knowledge is unjustified belief because the inferences that deliver easy knowledge feign evidential support that is not actually there. This diagnosis leads to a rejection of Closure. But, I argue, this rejection of Closure is more plausible than the traditional one endorsed by tracking theorists. I also argue that my diagnosis suggests a general plausibility argument against Closure, since a number of epistemic goods traditionally associated with knowledge do (...) not transfer across known entailments. Finally, I defend Anti-Closure against two recent objections. (shrink)

The aim of this paper is threefold. Firstly, §1 and §2 introduce the novel concept logical akrasia by analogy to epistemic akrasia. If successful, the initial sections will draw attention to an interesting akratic phenomenon which has not received much attention in the literature on akrasia (although it has been discussed by logicians in different terms). Secondly, §3 and §4 present a dilemma related to logical akrasia. From a case involving the consistency of Peano Arithmetic and Gödel’s Second Incompleteness Theorem (...) it’s shown that either we must be agnostic about the consistency of Peano Arithmetic or akratic in our arithmetical theorizing. If successful, these sections will underscore the pertinence and persistence of akrasia in arithmetic (by appeal to Gödel’s seminal work). Thirdly, §5 concludes by suggesting a way of translating the dilemma of arithmetical akrasia into a case of regular epistemic akrasia; and further how one might try to escape the dilemma when it’s framed this way. (shrink)

It is no secret that scientists argue. They argue about theories. But even more, they argue about the evidence for theories. Is the evidence itself trustworthy? This is a bit surprising from the perspective of traditional empiricist accounts of scientific methodology according to which the evidence for scientific theories stems from observation, especially observation with the naked eye. These accounts portray the testing of scientific theories as a matter of comparing the predictions of the theory with the data generated by (...) these observations, which are taken to provide an objective link to reality. (shrink)

The traditional view in epistemology is that we must distinguish between being rational and being right (that is also, by the way, the traditional view about practical rationality). In his paper in this volume, Williamson proposes an alternative view according to which only beliefs that amount to knowledge are rational (and, thus, no false belief is rational). It is healthy to challenge tradition, in philosophy as much as elsewhere. But, in this instance, we think that tradition has it right. In (...) this paper we defend our version of the traditional view and argue against Williamson’s alternative. (shrink)

"For the heavens declare the glory of God..." Or do they? What are we to make of the many ideas of gods that are held by our species? And what would count as evidence for or against our own declarations about a Supreme Being? With Frank Ambrosio, Rabbi Charles Arian, and Natasha Kyburg.

The typical epistemology course begins with a discussion of the distinction between justification and knowledge and ends without any discussion of the distinction between justification and excuse. This is unfortunate. If we had a better understanding of the justification-excuse distinction, we would have a better understanding of the intuitions that shape the internalism-externalism debate. My aims in this paper are these. First, I will explain how the kinds of excuses that should interest epistemologists exculpate. Second, I will explain why the (...) intuitions that underwrite the new evil demon argument don't provide support for the internalist claim that justification is just in the head. The positive response that Cohen's example elicits is an indication that the subject should be excused if she violates an epistemic norm, not an indication that no norm has been violated. For just about any conceivable norm we can think of we can imagine situations in which someone violates that norm because they're moved by evidence that misleadingly suggests that they'd conform to it. When that happens, we'll respond positively in just the way we do when we consider Cohen's deceived subjects. When that happens, we cannot say that the subjects' responses were justified because we've stipulated that the subjects' responses contravene the relevant norms. Regardless of whether you think of norms along internalist or externalist lines, you should see that the intuitions that underwrite the new evil demon objection tell us nothing at all about whether a subject conforms to a norm. They tell us nothing about justification. (shrink)

Was macht wissenschaftliches Verstehen aus? Und inwiefern können visuelle Repräsentationen, wie sie vielfach in der (Ergebnis-)Präsentation (Publikationen, Vorträgen etc.) in unterschiedlichen wissenschaftlichen Disziplinen Verwendung finden, zum Verstehen untersuchter Fragestellungen beitragen? Diesen Themen soll im folgenden Beitrag genauer nachgegangen werden. Den Ausgangspunkt bildet dabei Henk W. de Regts Studie (2017) zum wissenschaftlichen Verstehen. De Regt plädiert dafür, Kriterien des wissenschaftlichen Verstehens aus der aktuellen wissenschaftlichen Praxis zur Anwendung zu bringen – was auch bedeutet, ihre historische Variabilität ernst zu nehmen. Ein Punkt (...) seiner Untersuchung betrifft den Zusammenhang zwischen Visualisierbarkeit und wissenschaftlichem Verstehen. Erörtert wird von ihm die Frage, inwiefern Anschaulichkeit eine notwendige Bedingung für das Verstehen von Theorien und Phänomenen ist. De Regt bezieht dabei letztlich eine kritische Position, indem er sich gegen den Status einer solchen notwendigen Bedingung ausspricht, da sich in der Wissenschaftshistorie zeigen lasse, dass Anschaulichkeit nicht durchgängig als wesentliches Kriterium angesehen wurde. Dieses Votum contra eine notwendig bedeutungsvolle Rolle von Visualisierungen im Verstehensprozess scheint allerdings de Regts eigener Argumentation für eine Kontextabhängigkeit des Verstehens zuwiderzulaufen. Im vorliegenden Text soll diese Spannung aufgezeigt und zu Gunsten der Rolle von Visualisierungen im Prozess wissenschaftlichen Verstehens gewendet werden. Am Beispiel der maritimen Raumplanung (MRP) wird veranschaulicht, inwiefern die Redeweise von der Einsehbarkeit von Gründen mehr als eine bloße Metapher im Kontext des wissenschaftlichen Verstehens darstellen kann. (shrink)

I review recent empirical findings on knowledge attributions in lottery cases and report a new experiment that advances our understanding of the topic. The main novel finding is that people deny knowledge in lottery cases because of an underlying qualitative difference in how they process probabilistic information. “Outside” information is generic and pertains to a base rate within a population. “Inside” information is specific and pertains to a particular item’s propensity. When an agent receives information that 99% of all lottery (...) tickets lose (outside information), people judge that she does not know that her ticket will lose. By contrast, when an agent receives information that her specific ticket is 99% likely to lose (inside information), people judge that she knows that her ticket will lose. Despite this difference in knowledge judgments, people rate the likelihood of her ticket losing the exact same in both cases (i.e. 99%). The results shed light on other factors affecting knowledge judgments in lottery cases, including formulaic expression and participants’ own estimation of whether it is true that the ticket will lose. The results also undermine previous hypotheses offered for knowledge denial in lottery cases, including the hypotheses that people deny knowledge because they either deny justification or acknowledge a chance for error. (shrink)

The concept of faster-than-light (FTL) motion challenges our fun- damental understanding of causality and relativity. This paper ex- plores a phenomenological model for velocity computation, examining the dependence of normalized velocity v/c on parameters such as the effective coupling Γx, the angle β, and terms incorporating lα and Θr. Multiple parameter configurations are investigated through numerical simulation to identify cases where velocities approach or exceed c, the speed of light. Key trends and observations are highlighted, providing a framework for future (...) theoretical work. (shrink)

Do perceptual states necessarily constitute evidence epistemically supporting corresponding perceptual beliefs? Susanna Schellenberg thinks so. She argues that perceptual states, veridical or not, necessarily provide (or constitute) a kind of evidence (for the existence of the truth-maker) supporting corresponding perceptual beliefs. She uses “phenomenal evidence” as a label for this kind of evidence and calls her argument “The Phenomenal Evidence Argument.” Having introduced her project, we offer a reconstruction of Schellenberg’s argument (Sect. 2 ). A key premise has it that, (...) necessarily, for items with a function, fulfillment of the function (the good case) is explanatorily and metaphysically prior to function failure (the bad case). We suggest that the etiological theory of functions renders this key premise plausible (Sect. 3 ). However, Schellenberg rejects the etiological theory of functions (Sect. 4 ) and likewise the idea that the epistemic or warranting force of perceptual states is grounded in their being reliably linked to veridical perception (Sect. 5 ). But then what supports the key premise? Schellenberg argues that accurate perception is a part of the _nature_ of perceptual capacities because the nature of perceptual capacities is explained in terms of their function, and their function is to represent accurately (Sect. 6 ). We suggest that Schellenberg is committed to an understanding of priority which doesn’t require any _actual_ good cases—just possible ones (Sect. 7 ). This reading, we argue, is too weak to support the key premise (Sect. 8 ). Given Schellenberg’s commitments, it is not necessarily the case that perceptual states are evidence for a corresponding perceptual belief. Before concluding we discuss an overgeneralization objection to Schellenberg’s argument (Sect. 9 ). (shrink)

In the last quarter of 2024 four articles on survival after death were published online ahead of print in the International Review of Psychiatry. Two of these included gratuitous attempts to discredit the work of a well-known survival critic. After correcting these misrepresentations, in this response Keith Augustine lays out how those who appeal to survival research to support their beliefs bungle their purportedly scientific assessments of the evidence concerning whether or not individual human minds survive death in a discarnate (...) state (without a normal physical body). The response also lays out why the still-common arguments that the late eminent thanatologist Robert Kastenbaum offered in favor of a discarnate afterlife are fallacious. It canvasses erroneous tropes about discovering white crows and the supposed impossibility of proving negatives, how scientific facts are established as highly probable, how psychical research is grounded on fallacious arguments from ignorance, and when all else fails, how survival researchers resort to psychologizing their critics rather than address their critics' arguments. Their collective failure to engage their critics' actual arguments raises the issue of whether survival proponents are able to adequately answer them—and if not, why not. Augustine submits that they are unable to answer their critics because the scientific evidence against their afterlife beliefs is incredibly strong. 1. Introduction -- 2. Gregory Shushan -- 3. Andreas Sommer -- 3.1 The Irrelevance of My Work to Sommer’s Thesis -- 3.2 How My Use is Comparable to What Robert Kastenbaum Intended -- 3.3 Sommer’s Characterization of The Myth of an Afterlife -- 3.4 The Context of What Kastenbaum was Trying to Do -- 3.5 Where Kastenbaum Fell on the Survival Question—and Why -- 3.5.1 Fallacious White Crows -- 3.5.2 Proof, Certainty, and Proving Negatives -- 3.5.3 Causal Ignorance is not Causal Evidence -- 3.5.4 Psychologizing Opponents -- 4. Conclusion: A Belief in Search of Evidence, or Evidence-Driven Belief? (shrink)

Husserl’s theory of fulfilment conceives of empty acts, such as symbolic thought, and fulfilling acts, such as sensory perceptions, in a strict parallel. This parallelism is the basis for Husserl’s semantics, epistemology, and conception of truth. It also entails that any true proposition can be known in principle, which Church and Fitch have shown to explode into the claim that every proposition is _actually_ known. I assess this logical challenge and discuss a recent response by James Kinkaid. While Kinkaid’s proposal (...) saves one direction of the parallel for semantics, it gives up the parallelism for truth. I spell out a different response which meshes naturally with Husserl’s account of meaning. If the parallelism is restricted to a class of basic propositions, the truth of non-basic propositions can be defined inductively, without leading to the paradox. I then discuss objections that have been raised against a similar proposal by Dummett. The result is that exegetically plausible and popular interpretations of Husserl’s correlationism are indeed challenged by Church and Fitch. But when taking into account the ‘logical adumbration’ of propositional blindspots, truth and possible fulfilment can be connected without paradox. (shrink)

What are the roles of scientific causal knowledge in relation to the evidential requirements of policy making? In this chapter, I review the existing approaches in philosophy of science to the policy relevance of causal knowledge. I assess the specific concerns and questions on which these philosophical accounts have focused and show how they only offer a partial perspective of the relation between causal knowledge and policy making. Most existing views are top-down approaches: they start from philosophical concerns about causation (...) and evidence, and then make general claims about (potential) policy implications, but leave the notion of “policy” unanalyzed. As an alternative, I put forward some ideas toward a bottom-up approach: one that understands policy making as a dynamic process with several stages, and that starts from concrete policy problems, to then examine how causal notions and methods can contribute in various ways to the specifics of the process of policy making. (shrink)

The inflation of Type I error rates is thought to be one of the causes of the replication crisis. Questionable research practices such as p-hacking are thought to inflate Type I error rates above their nominal level, leading to unexpectedly high levels of false positives in the literature and, consequently, unexpectedly low replication rates. In this article, I offer an alternative view. I argue that questionable and other research practices do not usually inflate relevant Type I error rates. I begin (...) by introducing the concept of Type I error rates and distinguishing between statistical errors and theoretical errors. I then illustrate my argument with respect to model misspecification, multiple testing, selective inference, forking paths, exploratory analyses, p-hacking, optional stopping, double dipping, and HARKing. In each case, I demonstrate that relevant Type I error rates are not usually inflated above their nominal level, and in the rare cases that they are, the inflation is easily identified and resolved. I conclude that the replication crisis may be explained, at least in part, by researchers’ misinterpretation of statistical errors and their underestimation of theoretical errors. (shrink)

I defend a novel account of scientific progress centred around justification. Science progresses, on this account, where there is a change in justification. I consider three options for explicating this notion of change in justification. This account of scientific progress dispels with a condition for scientific progress that requires accumulation of truth or truthlikeness, and it emphasises the social nature of scientific justification.

The growing range of methods for statistical model selection is inspiring new debates about how to handle the potential for conflicting results when different methods are applied to the same data. While many factors enter into choosing a model selection method, we focus on the implications of disagreements among scientists about whether, and in what sense, the true probability distribution is included in the candidate set of models. While this question can be addressed empirically, the data often provide inconclusive results (...) in practice. In such cases, we argue that differences in prior metaphysical views about the local adequacy of the models can produce underdetermination of results, even for the same data and candidate models. As a result, data alone are sometimes insufficient to settle rational beliefs about nature. (shrink)

The aim of this paper is to analyse and develop how scepticism becomes an intelligible question starting from requirements that epistemologists themselves aim to endorse. We argue for and defend the idea that the root of scepticism is the underdetermination principle by articulating its specificitya respectable epistemic principle and by defending it against objections in current literature. This engagement offers a novel understanding of underdetermination-based scepticism. While most anti-sceptical approaches challenge scepticism by understanding it as postulating uneliminated scenarios of mass (...) deception, or as endorsing unnatural epistemic requirements, we argue here that both contentions are mistaken. Underdetermination-based scepticism targets our beliefs by issuing a genuine question about the rational support they enjoy. If we cannot establish that the sources of our beliefs provide them the required epistemic merit and authority, they lack non-arbitrary grounds. This has a sizable impact on what constitutes a satisfactory anti-sceptical strategy. Strategies that merely focus on the scenario-based aspect of scepticism, or on the truth-functional evaluation of our beliefs, are shown to miss the mark of the sceptical threat. The proposed analysis ultimately provides a shift in perspective concerning the character and reach of philosophical doubt. (shrink)

In a 2022 critique of the Bigelow Institute for Consciousness Studies essay competition on the “best” evidence for life after death (“the survival of human consciousness”) and in replies to two commentaries on it, I made passing reference to the parallels between the arguments provided by survival researchers—psychical researchers ostensibly investigating evidence for an afterlife using scientific best practices—and the well-worn fallacies repeatedly committed by creationists and other Christian apologists. In this essay, I highlight several parallel fallacious arguments found among (...) both those at the forefront of “scientific” research into an afterlife and those engaged in Christian apologetics. (shrink)

One leading account of justification comes from the evidentialist tradition. According to evidentialists, whether a doxastic attitude is justified depends on whether that attitude is supported by the believer’s evidence. This chapter assesses the prospects for evidentialism, focusing on the question of whether evidentialists can provide a satisfactory account of their key notions – evidence possession and evidential support – without helping themselves to the notion of justification.

This chapter presents a typology of the different kinds of inductive inferences we can draw from our evidence, based on the explanatory relationship between evidence and conclusion. Drawing on the literature on graphical models of explanation, I divide inductive inferences into (a) downwards inferences, which proceed from cause to effect, (b) upwards inferences, which proceed from effect to cause, and (c) sideways inferences, which proceed first from effect to cause and then from that cause to an additional effect. I further (...) distinguish between direct and indirect forms of downwards and upwards inferences. I then show how we can subsume canonical forms of inductive inference mentioned in the literature, such as inference to the best explanation, enumerative induction, and analogical inference, under this typology. Along the way, I explore connections with probability and confirmation, epistemic defeat, the relation between abduction and enumerative induction, the compatibility of IBE and Bayesianism, and theories of epistemic justification. (shrink)

According to the ‘Evidential Internalists’, one’s evidence supervenes on one’s non-factive mental states. ‘Evidential Externalists’ deny that, and allow for external factors to determine what evidence one has. After clarifying what Evidential Internalism and Evidential Externalism entail, and what they are silent on, this chapter provides an opinionated overview of the main arguments and motivations behind Evidential Internalism and Evidential Externalism. It concludes that Evidential Externalism is a more promising view.

This essay is an accessible introduction to the proof paradox in legal epistemology. -/- In 1902 the Supreme Judicial Court of Maine filed an influential legal verdict. The judge claimed that in order to find a defendant culpable, the plaintiff “must adduce evidence other than a majority of chances”. The judge thereby claimed that bare statistical evidence does not suffice for legal proof. -/- In this essay I first motivate the claim that bare statistical evidence does not suffice for legal (...) proof. I then introduce and motivate a knowledge-centred explanation of this fact. The knowledge-centred explanation rests on two premises. The first is that legal proof requires knowledge of culpability. The second is that one cannot attain knowledge that p from bare statistical evidence that p. To motivate the second premise, I suggest that beliefs based on bare statistical evidence fail to be safe—they could easily be wrong—and bare statistical evidence cannot eliminate relevant alternatives. -/- I then cast doubt on the first premise; I argue that legal proof does not require knowledge. I thereby dispute the knowledge-centred explanation of the inadequacy of bare statistical evidence for legal proof. Instead of appealing to the nature of knowledge, I suggest we should seek a more direct explanation by appealing to those more foundational epistemic properties, such as safety or eliminating relevant alternatives. (shrink)

We offer a general framework for theorizing about the structure of knowledge and belief in terms of the comparative normality of situations compatible with one’s evidence. The guiding idea is that, if a possibility is sufficiently less normal than one’s actual situation, then one can know that that possibility does not obtain. This explains how people can have inductive knowledge that goes beyond what is strictly entailed by their evidence. We motivate the framework by showing how it illuminates knowledge about (...) the future, knowledge of lawful regularities, knowledge about parameters measured using imperfect instruments, the connection between knowledge, belief, and probability, and the dynamics of knowledge and belief in response to new evidence. (shrink)

The Preface Paradox is often discussed for its implications for rational belief. Much less discussed is a variant of the Preface Paradox for knowledge. In this paper, I argue that the most plausible closure-friendly resolution to the Preface Paradox for Knowledge is to say that in any given context, we do not know much. I call this view “Socraticism”. I argue that Socraticism is the most plausible view on two accounts—(1) this view is compatible with the claim that most of (...) our knowledge ascriptions are true, and (2) provided that (1) is true, the costs of accepting Socraticism are much less than the costs of accepting any other resolution to the Paradox. I argue for (1) in Section 2 by developing a question-sensitive contextualist model for knowledge that shows how Socraticism is compatible with the claim that most of our knowledge ascriptions are true. I also argue how this contextualist model can achieve this result where other contextualist models fail. I then consider other closure-friendly solutions to the paradox in Section 3 and show how accepting those solutions forces us to give up a number of plausible epistemic principles. (shrink)

Faith is a trusting commitment to someone or something. Faith helps us meet our goals, keeps our relationships secure, and enables us to retain our commitments over time. Faith is thus a central part of a flourishing life. -/- This article is about the philosophy of faith. There are many philosophical questions about faith, such as: What is faith? What are its main components or features? What are the different kinds of faith? What is the relationship between faith and other (...) similar states, such as belief, trust, knowledge, desire, doubt, and hope? Can faith be epistemically rational? Practically rational? Morally permissible? -/- This article addresses these questions. It is divided into three main parts. The first is about the nature of faith. This includes different kinds of faith and various features of faith. The second discusses the way that faith relates to other states. For example, what is the difference between faith and hope? Can someone have faith that something is true even if they do not believe it is true? The third discusses three ways we might evaluate faith: epistemically, practically, and morally. While faith is not always rational or permissible, this section covers when and how it can be. The idea of faith as a virtue is also discussed. (shrink)

Evidence is one of the most fundamental notions in the field of epistemology and is emerging as a major topic across academic disciplines. The practice of every academic discipline consists largely in providing evidence for key theses and The Routledge Handbook of Philosophy of the Philosophy of Evidence, the first collection of its kind, is an outstanding reference source to the key topics, problems and debates in this exciting subject. Comprising over forty chapters by a team of international contributors the (...) Handbook is divided into six parts: Ontology of evidence Sources of evidence Evidence and normativity Evidence and probability Social epistemology of evidence Evidence in the disciplines. Within these sections central issues, debates and problems are examined. Questions covered include: What is evidence? What is the relationship between knowledge and evidence? Is a pluralism of evidence possible? What other sources of evidence are there in addition to perception? Is what a person ought to believe completely fixed by the totality of evidence they have, or does it also depend on other factors like practical interests? Can evidential force be measured in any well-behaved way? How do socially created biases - for instance, gender biases - affect evidence-gathering? How is evidence relevant within different academic disciplines? The Routledge Handbook of Philosophy of the Philosophy of Evidence is essential reading for students and researchers in philosophy of science and epistemology and related disciplines such as law, religion, history and the social sciences. (shrink)

Explanation and evidence are related in one way that is uncontroversial: evidence can confirm or disconfirm explanations. One explanation of Sally’s cold is that she has a virus; another is that she has a bacterial infection. The available evidence confirms the virus explanation because the evidence supports that colds are caused by viruses, not bacteria. A more interesting question concerns whether explanatory facts themselves provide evidence. That is to say, do we get evidence for p simply by realizing that p, (...) if true, would explain some data? Explanationists answer this question affirmatively, maintaining that explanatoriness is evidence of truth. (shrink)

One emerging issue in contemporary epistemology concerns the relation between animal knowledge, which can be had by agents unable to take a view on the epistemic status of their attitudes, and reflective knowledge, which is only available to agents capable of taking such a view. Philosophers who are open to animal knowledge often presume that while many of the beliefs of human adults are formed unreflectively and thus constitute mere animal knowledge, some of them—those which become subject of explicit scrutiny (...) or are the result of a deliberative effort—may attain the status of reflective knowledge. According to Sanford Goldberg and Jonathan Matheson (2020), however, it is impossible for reflective subjects to have mere animal knowledge. If correct, their view would have a number of repercussions, perhaps most notably the vindication of a dualism about knowledge, which would frustrate attempts to provide a unified account of knowledge-attributions to human adults, very young children, and non-human animals. I discuss Goldberg and Matheson’s proposal, outline some of the ways in which it is insightful, and argue that it is ultimately unsuccessful because it neglects the inherent temporal dimension of knowledge acquisition. While the article is pitched as a reply to Goldberg and Matheson, its primary aim is to highlight significant connections between the debates on the relation between animal and reflective knowledge, propositional and doxastic justification, and the theory of epistemic defeat. (shrink)

Many who think that naked statistical evidence alone is inadequate for a trial verdict think that use of probability is the problem, and something other than probability – knowledge, full belief, causal relations – is the solution. I argue that the issue of whether naked statistical evidence is weak can be formulated within the probabilistic idiom, as the question whether likelihoods or only posterior probabilities should be taken into account in our judgment of a case. This question also identifies a (...) major difference between the Process Reliabilist and Probabilistic Tracking views of knowledge and other concepts. Though both are externalist, and probabilistic, epistemic theories, Tracking does and Process Reliabilism does not put conditions on likelihoods. So Tracking implies that a naked statistic is not adequate evidence about an individual, and does not yield knowledge, whereas the Reliabilist thinks it gives justified belief and knowledge. Not only does the Tracking view imply that naked statistical evidence is insufficient for a verdict, but it gives us resources to explain why, in terms of risk and the special conditions of a trial. (shrink)

What degrees of belief does Sleeping Beauty's evidence support? That depends.

This perspective paper analyzes the rising threat of retracted scientific works and the challenges of preventing the continued spreading and use of the retracted science; further, a framework is proposed for research and actions to effectively manage retractions in the information ecosystem. The precipitous increase in retractions of scientific publications is real and the complexity of retracting publications challenges current IR systems and people's information behaviors. Retracting published, especially peer-reviewed, papers in prestigious venues is a complex phenomenon involving various entities (...) through often time-consuming processes. These publications may be accessible from the original venues, digital archives, or free-access databases, but these systems differ in retrievability and output. Many systems do not identify the retractions or reasons for retractions; most systems do not treat the retracted paper and its related notices (retraction or correction) as an integrated entity. Studies found that many retracted publications continue to be cited post-retraction as valid science. A new threat is the widely spread of retracted publications on social media. Retracting invalid scientific publications has serious implications in the real world. Based on current findings, we propose (1) a framework for further research; (2) a DOI resolution to integrate the documents related to retraction/correction; (3) a structured facet taxonomy for representing and indexing the retracted, corrected, or republished publications in databases; (4) a retraction registry or database with personalized AI helper for researchers to tract retracted publications; (5) an approach for understanding how retracted publications are circulated on social media. (shrink)

The ongoing COVID-19 pandemic has brought science to the fore of public discourse and, considering the complexity of the issues involved, with it also the challenge of effective and informative science communication. This is a particularly contentious topic, in that it is both highly emotional in and of itself; sits at the nexus of the decision-making process regarding the handling of the pandemic, which has effected lockdowns, social behaviour measures, business closures, and others; and concerns the recording and reporting of (...) disease mortality. To clarify a point that has caused much controversy and anger in the public debate, the first part of the present article discusses the very fundamentals underlying the issue of causative attribution with regards to mortality, lays out the foundations of the statistical means of mortality estimation, and concretizes these by analysing the recording and reporting practices adopted in England and their widespread misrepresentations. The second part of the article is empirical in nature. I present data and an analysis of how COVID-19 mortality has been reported in the mainstream media in the UK and the USA, including a comparative analysis both across the two countries as well as across different media outlets. The findings clearly demonstrate a uniform and worrying lack of understanding of the relevant technical subject matter by the media in both countries. Of particular interest is the finding that with a remarkable regularity (????>0.998), the greater the number of articles a media outlet has published on COVID-19 mortality, the greater the proportion of its articles misrepresented the disease mortality figures. (shrink)

There is a large literature exploring how accuracy constrains rational degrees of belief. This paper turns to the unexplored question of how accuracy constrains knowledge. We begin by introducing a simple hypothesis: increases in the accuracy of an agent’s evidence never lead to decreases in what the agent knows. We explore various precise formulations of this principle, consider arguments in its favour, and explain how it interacts with different conceptions of evidence and accuracy. As we show, the principle has some (...) noteworthy consequences for the wider theory of knowledge. First, it implies that an agent cannot be justified in believing a set of mutually inconsistent claims. Second, it implies the existence of a kind of epistemic blindspot: it is not possible to know that one’s evidence is misleading. (shrink)

In this paper, I aim to do three things. First, I introduce the distinction between the Uniqueness Thesis (U) and what I call the Conditional Uniqueness Thesis (U*). Second, I argue that despite their official advertisements, some prominent uniquers effectively defend U* rather than U. Third, some influential considerations that have been raised by the opponents of U misfire if they are interpreted as against U*. The moral is that an appreciation of the distinction between U and U* helps to (...) clarify the contours of the uniqueness debate and to avoid a good deal of talking past each other. (shrink)

This essay presents a unified account of safety, sensitivity, and severe testing. S’s belief is safe iff, roughly, S could not easily have falsely believed p, and S’s belief is sensitive iff were p false S would not believe p. These two conditions are typically viewed as rivals but, we argue, they instead play symbiotic roles. Safety and sensitivity are both valuable epistemic conditions, and the relevant alternatives framework provides the scaffolding for their mutually supportive roles. The relevant alternatives condition (...) holds that a belief is warranted only if the evidence rules out relevant error possibilities. The safety condition helps categorise relevant from irrelevant possibilities. The sensitivity condition captures ‘ruling out’. Safety, sensitivity, and the relevant alternatives condition are typically presented as conditions on warranted belief or knowledge. But these properties, once generalised, help characterise other epistemic phenomena, including warranted inference, legal verdicts, scientific claims, reaching conclusions, addressing questions, warranted assertion, and the epistemic force of corroborating evidence. We introduce and explain Mayo’s severe testing account of statistical inference. A hypothesis is severely tested to the extent it passes tests that probably would have found errors, were they present. We argue Mayo’s account is fruitfully understood using the resulting relevant alternatives framework. Recasting Mayo’s condition using the conceptual framework of contemporary epistemology helps forge fruitful connections between two research areas—philosophy of statistics and the analysis of knowledge—not currently in sufficient dialogue. The resulting union benefits both research areas. (shrink)

During the Covid-19 pandemic, public policy was not driven by findings from public health research, but by politicians’ desire to pursue their own interests. The media and politicians inflamed mass hysteria and then imposed ill-considered lockdowns to “solve” the problem. Lockdowns not only failed to protect those at risk from the virus, but also caused enormous collateral damage. Public choice theory helps explaining this decision-making. -/- .

Good physical experiments conform to the basic methodological standards of experimental design: they are objective, reliable, and valid. But is this also true of thought experiments? Especially problems of personal identity have engendered hypothetical scenarios that are very distant from the actual world. These imagined situations have been conspicuously ineffective at resolving conflicting intuitions and deciding between the different accounts of personal identity. Using prominent examples from the literature, I argue that this is due to many of these thought experiments (...) not adhering to the methodological standards that guide experimental design in nearly all other disciplines. I also show how empirically unwarranted background assumptions about human physiology render some of the hypothetical scenarios that are employed in the debate about personal identity highly misleading. (shrink)

This paper proposes a framework for representing in Bayesian terms the idea that analogical arguments of various degrees of strength may provide inductive support to yet untested scientific hypotheses. On this account, contextual information plays a crucial role in determining whether, and to what extent, a given similarity or dissimilarity between source and target may confirm an empirical hypothesis over a rival one. In addition to showing confirmation by analogy compatible with the adoption of a Bayesian standpoint, the proposal outlined (...) in this paper reveals a close agreement between the fulfillment of Hesse’s (Models and analogies in science, University of Notre Dame Press, 1963) criteria for analogical arguments capable of inductive support and the attribution of confirmatory power by the lights of Bayesian confirmation theory. In this sense, the Bayesian representation not only enriches a framework, Hesse’s, of enduring relevance for understanding scientific activity, but may offer something akin to a proof of concept of it. (shrink)