Many important theorists – e.g., Gary Watson and Stephen Darwall – characterize blame as a communicative entity and argue that this entails that morally responsible agency requires not just rational but moral competence. In this paper, I defend this argument from communication against three objections found in the literature. The first two reject the argument’s characterization of the reactive attitudes. The third urges that the argument is committed to a false claim.

What should we make of claims by members of other groups to have moralities different from our own? Human Rights in Chinese Thought gives an extended answer to this question in the first study of its kind. It integrates a full account of the development of Chinese rights discourse - reaching back to important, though neglected, origins of that discourse in 17th and 18th century Confucianism - with philosophical consideration of how various communities should respond to contemporary Chinese claims about (...) the uniqueness of their human rights concepts. The book elaborates a plausible kind of moral pluralism and demonstrates that Chinese ideas of human rights do indeed have distinctive characteristics, but it nonetheless argues for the importance and promise of cross-cultural moral engagement. (shrink)

After a long hiatus, psychology and philosophy are returning to formal study of imagination. While excellent work is being done in the current environment, this article argues for a stronger thesis than usually adopted. Imagination is not just a peripheral feature of cognition or a domain for aesthetic research. It is instead the core operating system or cognitive capacity for humans and has epistemic and therapeutic functions that ground all our sense-making activities. A sketch of imagination as embodied cognition is (...) offered, followed by suggestions of how to organize imagination studies into a more rigorous science–humanities research area. (shrink)

From the school yard to the workplace, there’s no charge more damning than “you’re being unfair!” Born out of democracy and raised in open markets, fairness has become our de facto modern creed. The very symbol of American ethics—Lady Justice—wears a blindfold as she weighs the law on her impartial scale. In our zealous pursuit of fairness, we have banished our urges to like one person more than another, one thing over another, hiding them away as dirty secrets of our (...) humanity. In Against Fairness, polymath philosopher Stephen T. Asma drags them triumphantly back into the light. Through playful, witty, but always serious arguments and examples, he vindicates our unspoken and undeniable instinct to favor, making the case that we would all be better off if we showed our unfair tendencies a little more kindness—indeed, if we favored favoritism. Conscious of the egalitarian feathers his argument is sure to ruffle, Asma makes his point by synthesizing a startling array of scientific findings, historical philosophies, cultural practices, analytic arguments, and a variety of personal and literary narratives to give a remarkably nuanced and thorough understanding of how fairness and favoritism fit within our moral architecture. Examining everything from the survival-enhancing biochemistry that makes our mothers love us to the motivating properties of our “affective community,” he not only shows how we favor but the reasons we should. Drawing on thinkers from Confucius to Tocqueville to Nietzsche, he reveals how we have confused fairness with more noble traits, like compassion and open-mindedness. He dismantles a number of seemingly egalitarian pursuits, from classwide Valentine’s Day cards to civil rights, to reveal the envy that lies at their hearts, going on to prove that we can still be kind to strangers, have no prejudice, and fight for equal opportunity at the same time we reserve the best of what we can offer for those dearest to us. Fed up with the blue-ribbons-for-all absurdity of "fairness" today, and wary of the psychological paralysis it creates, Asma resets our moral compass with favoritism as its lodestar, providing a strikingly new and remarkably positive way to think through all our actions, big and small. (shrink)

[Stephen Yablo] The usual charge against Carnap's internal/external distinction is one of 'guilt by association with analytic/synthetic'. But it can be freed of this association, to become the distinction between statements made within make-believe games and those made outside them-or, rather, a special case of it with some claim to be called the metaphorical/literal distinction. Not even Quine considers figurative speech committal, so this turns the tables somewhat. To determine our ontological commitments, we have to ferret out all traces (...) of nonliterality in our assertions; if there is no sensible project of doing that, there is no sensible project of Quinean ontology. /// [Andre Gallois] I discuss Steve Yablo's defence of Carnap's distinction between internal and external questions. In the first section I set out what I take that distinction, as Carnap draws it, to be, and spell out a central motivation Carnap has for invoking it. In the second section I endorse, and augment, Yablo's response to Quine's arguments against Carnap. In the third section I say why Carnap's application of the distinction between internal and external questions runs into trouble. In the fourth section I spell out what I take to be Yablo's version of Carnap. In the last I say why that version is especially vulnerable to the objection raised in the second. (shrink)

Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised learning (...) methods—namely lasso penalties, bagging, and boosting—offer subtler, more interesting analogies to human reasoning as both an individual and a social phenomenon. Despite the temptation to fall back on anthropomorphic tropes when discussing AI, however, I conclude that such rhetoric is at best misleading and at worst downright dangerous. The impulse to humanize algorithms is an obstacle to properly conceptualizing the ethical challenges posed by emerging technologies. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping causal (...) patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.

Tracing the leading role of emotions in the evolution of the mind, a philosopher and a psychologist pair up to reveal how thought and culture owe less to our faculty for reason than to our capacity to feel. Many accounts of the human mind concentrate on the brain’s computational power. Yet, in evolutionary terms, rational cognition emerged only the day before yesterday. For nearly 200 million years before humans developed a capacity to reason, the emotional centers of the brain were (...) hard at work. If we want to properly understand the evolution of the mind, we must explore this more primal capability that we share with other animals: the power to feel. Emotions saturate every thought and perception with the weight of feelings. The Emotional Mind reveals that many of the distinctive behaviors and social structures of our species are best discerned through the lens of emotions. Even the roots of so much that makes us uniquely human—art, mythology, religion—can be traced to feelings of caring, longing, fear, loneliness, awe, rage, lust, playfulness, and more. From prehistoric cave art to the songs of Hank Williams, Stephen T. Asma and Rami Gabriel explore how the evolution of the emotional mind stimulated our species’ cultural expression in all its rich variety. Bringing together insights and data from philosophy, biology, anthropology, neuroscience, and psychology, The Emotional Mind offers a new paradigm for understanding what it is that makes us so unique. (shrink)

Hutto and Myin claim that teleosemantics cannot account for mental content. In their view, teleosemantics accounts for a poorer kind of relation between cognitive states and the world but lacks the theoretical tools to account for a richer kind. We show that their objection imposes two criteria on theories of content: a truth-evaluable criterion and an intensionality criterion. For the objection to go through, teleosemantics must be subject to both these criteria and must fail to satisfy them. We argue that (...) teleosemantics meets the truth-evaluable criterion and is not required to meet the intensionality criterion. We conclude that Hutto and Myin’s objection fails. (shrink)

This paper investigates whether different philosophers’ claims about “normativity” are about the same subject or (as recently argued by Derek Parfit) theorists who appear to disagree are really using the term with different meanings, in order to cast disambiguating light on the debates over at least the nature, existence, extension, and analyzability of normativity. While I suggest the term may be multiply ambiguous, I also find reasons for optimism about a common subject-matter for metanormative theory. This is supported partly by (...) sketching a special kind of hybrid view of normative judgment, perspectivism, that occupies a position between cognitivism and noncognitivism, naturalism and nonnaturalism, objectivism and subjectivism, making it more plausible that radically different metanormative theories could be about the same thing. I explore three main fissures: between (i) the “normativity” of language/thought versus that of facts and properties, (ii) abstract versus substantive senses, and (iii) formal versus robust senses. (shrink)

This paper focuses on the fact that AI is predominantly portrayed as white—in colour, ethnicity, or both. We first illustrate the prevalent Whiteness of real and imagined intelligent machines in four categories: humanoid robots, chatbots and virtual assistants, stock images of AI, and portrayals of AI in film and television. We then offer three interpretations of the Whiteness of AI, drawing on critical race theory, particularly the idea of the White racial frame. First, we examine the extent to which this (...) Whiteness might simply reflect the predominantly White milieus from which these artefacts arise. Second, we argue that to imagine machines that are intelligent, professional, or powerful is to imagine White machines because the White racial frame ascribes these attributes predominantly to White people. Third, we argue that AI racialised as White allows for a full erasure of people of colour from the White utopian imaginary. Finally, we examine potential consequences of the racialisation of AI, arguing it could exacerbate bias and misdirect concern. (shrink)

Sufferers of eating disorders often hold false beliefs about their own body size. Such beliefs appear to violate norms of rationality, being neither grounded by nor responsive to appropriate forms of evidence. I defend the rationality of these beliefs. I argue that they are in fact supported by appropriate evidence, emanating from proprioceptive misperception of bodily boundaries. This argument has far‐reaching implications for the explanation and treatment of eating disorders, as well as debates over the relationship between rationality and human (...) psychology. (shrink)

Anti-exceptionalism about logic is the doctrine that logic does not require its own epistemology, for its methods are continuous with those of science. Although most recently urged by Williamson, the idea goes back at least to Lakatos, who wanted to adapt Popper's falsicationism and extend it not only to mathematics but to logic as well. But one needs to be careful here to distinguish the empirical from the a posteriori. Lakatos coined the term 'quasi-empirical' `for the counterinstances to putative mathematical (...) and logical theses. Mathematics and logic may both be a posteriori, but it does not follow that they are empirical. Indeed, as Williamson has demonstrated, what counts as empirical knowledge, and the role of experience in acquiring knowledge, are both unclear. Moreover, knowledge, even of necessary truths, is fallible. Nonetheless, logical consequence holds in virtue of the meaning of the logical terms, just as consequence in general holds in virtue of the meanings of the concepts involved; and so logic is both analytic and necessary. In this respect, it is exceptional. But its methodologyand its epistemology are the same as those of mathematics and science in being fallibilist, and counterexamples to seemingly analytic truths are as likely as those in any scientic endeavour. What is needed is a new account of the evidential basis of knowledge, one which is, perhaps surprisingly, found in Aristotle. (shrink)

Given the fundamental role that concepts play in theories of cognition, philosophers and cognitive scientists have a common interest in concepts. Nonetheless, there is a great deal of controversy regarding what kinds of things concepts are, how they are structured, and how they are acquired. This chapter offers a detailed high-level overview and critical evaluation of the main theories of concepts and their motivations. Taking into account the various challenges that each theory faces, the chapter also presents a novel approach (...) to concepts that is organized around two ideas. The first is a pluralistic view of differing types of conceptual structure. The second is a model that treats concepts as atomic representations that are linked to various types of conceptual structures. (shrink)

I briefly discuss the Gettier Problem, problems with the justified theory of true belief, and offer support for Feldman's concept of no false grounds.

Necessity and sufficiency are the building blocks of all successful explanations. Yet despite their importance, these notions have been conceptually underdeveloped and inconsistently applied in explainable artificial intelligence (XAI), a fast-growing research area that is so far lacking in firm theoretical foundations. Building on work in logic, probability, and causality, we establish the central role of necessity and sufficiency in XAI, unifying seemingly disparate methods in a single formal framework. We provide a sound and complete algorithm for computing explanatory factors (...) with respect to a given context, and demonstrate its flexibility and competitive performance against state of the art alternatives on various tasks. (shrink)

Moral assertions express attitudes, but it is unclear how. This paper examines proposals by David Copp, Stephen Barker, and myself that moral attitudes are expressed as implicature (Grice), and Copp's and Barker's claim that this supports expressivism about moral speech acts. I reject this claim on the ground that implicatures of attitude are more plausibly conversational than conventional. I argue that Copp's and my own relational theory of moral assertions is superior to the indexical theory offered by Barker and (...) Jamie Dreier, and that since the relational theory supports conversational implicatures of attitude, expressive conventions would be redundant. Furthermore, moral expressions of attitude behave like conversational and not conventional implicatures, and there are reasons for doubting that conventions of the suggested kind could exist. (shrink)

In this paper, we argue for a particular informative and unified analysis of normative reasons. According to this analysis, a fact F is a reason to act in a certain way just in case it is evidence that one ought to act in that way. Similarly, F is a reason to believe a certain proposition just in case it is evidence for the truth of this proposition. Putting the relatively uncontroversial claim about reasons for belief to one side, we present (...) several arguments in favor of our analysis of reasons for action. We then turn to consider a series of objections to the analysis. We conclude that there are good reasons to accept the analysis and that the objections do not succeed. (shrink)

This paper is a response to two sets of published criticisms of the 'Reasons as Evidence’ thesis concerning normative reasons, proposed and defended in earlier papers. According to this thesis, a fact is a normative reason for an agent to Φ just in case this fact is evidence that this agent ought to Φ. John Broome and John Brunero have presented a number of challenging criticisms of this thesis which focus, for the most part, on problems that it appears to (...) confront when it comes to the topic of the weighing of reasons. Our paper responds to all of the criticisms that these critics have provided, shedding fresh light on this interesting topic in the process. (shrink)

According to content-relativist theories of moral language, different speakers use the same moral sentences to say different things. Content-relativism faces a well-known problem of lost disagreement. Recently, numerous content-relativists (including the author) have proposed to solve this problem by appeal to various kinds of non-content-based, or broadly pragmatic, disagreement. This presents content-relativists with a new problem—of found agreement. Which (if any) of these newly identified kinds of conflict is correctly identified as the lost moral disagreement we were looking for? This (...) paper offers a critical comparison of different content-relativist proposals. It divides them into two broad categories, quasi-expressivist theories (QED) and metalinguistic theories (MLD). Objections to each are considered, and QED is tentatively found to be superior. (shrink)

This article establishes grounds on which attributions of information and encoding in animal signals are warranted. As common interest increases between evolutionary agents, the theoretical approach best suited to describing their interaction shifts from evolutionary game theory to communication theory, which warrants informational language. The take-home positive message is that in cooperative settings, signals can appropriately be described as transmitting encoded information, regardless of the cognitive powers of signalers. The canonical example is the honeybee waggle dance, which is discussed extensively (...) in the second and third sections. The take-home negative message is that signals are not always a consequence of coadaptation. The communication theory approach is just one end of a continuum explored more thoroughly by evolutionary game theory. The fourth and fifth sections explore this wider framework, as well as overturning some widely held misconceptions about information theory. (shrink)

Levy (2021 Levy, N. (2021). Bad beliefs: Why they happen to good people. Oxford University Press.[Crossref], [Google Scholar]) argues that bad beliefs predominately stem from automatic (albeit rational) updating in response to testimonial evidence. To counteract such beliefs, then, we should focus on ridding our epistemic environments of misleading testimony. This paper responds as follows. First, I argue that the suite of automatic processes related to bad beliefs extends well beyond the deference-based processes that Levy identifies. Second, I push back (...) against Levy’s claim that bad beliefs stem from wholly rational processes, suggesting that, in many cases, such processes are better characterized as arational. Finally, I note that Levy is too quick to dismiss the role that individuals can play in cleaning up their own epistemic environments, and I suggest one route through which this is possible. (shrink)

Recent years have seen a surge in online collaboration between experts and amateurs on scientific research. In this article, we analyse the epistemological implications of these crowdsourced projects, with a focus on Zooniverse, the world’s largest citizen science web portal. We use quantitative methods to evaluate the platform’s success in producing large volumes of observation statements and high impact scientific discoveries relative to more conventional means of data processing. Through empirical evidence, Bayesian reasoning, and conceptual analysis, we show how information (...) and communication technologies enhance the reliability, scalability, and connectivity of crowdsourced e-research, giving online citizen science projects powerful epistemic advantages over more traditional modes of scientific investigation. These results highlight the essential role played by technologically mediated social interaction in contemporary knowledge production. We conclude by calling for an explicitly sociotechnical turn in the philosophy of science that combines insights from statistics and logic to analyse the latest developments in scientific research. (shrink)

Many authors have proposed constraining the behaviour of intelligent systems with ‘machine ethics’ to ensure positive social outcomes from the development of such systems. This paper critically analyses the prospects for machine ethics, identifying several inherent limitations. While machine ethics may increase the probability of ethical behaviour in some situations, it cannot guarantee it due to the nature of ethics, the computational limitations of computational agents and the complexity of the world. In addition, machine ethics, even if it were to (...) be ‘solved’ at a technical level, would be insufficient to ensure positive social outcomes from intelligent systems. (shrink)

Discovering high-level causal relations from low-level data is an important and challenging problem that comes up frequently in the natural and social sciences. In a series of papers, Chalupka etal. (2015, 2016a, 2016b, 2017) develop a procedure forcausal feature learning (CFL) in an effortto automate this task. We argue that CFL does not recommend coarsening in cases where pragmatic considerations rule in favor of it, and recommends coarsening in cases where pragmatic considerations rule against it. We propose a new technique, (...) pragmatic causal feature learning (PCFL), which extends the original CFL algorithm in useful and intuitive ways. We show that PCFL has the same attractive measure-theoretic properties as the original CFL algorithm. We compare the performance of both methods through theoretical analysis and experiments. (shrink)

How we feel is as vital to our survival as how we think. This claim, based on the premise that emotions are largely adaptive, serves as the organizing theme of Why We Need Religion. This book is a novel pathway in a well-trodden field of religious studies and philosophy of religion. Stephen Asma argues that, like art, religion has direct access to our emotional lives in ways that science does not. Yes, science can give us emotional feelings of wonder (...) and the sublime--we can feel the sacred depths of nature--but there are many forms of human suffering and vulnerability that are beyond the reach of help from science. Different emotional stresses require different kinds of rescue. Unlike secular authors who praise religion's ethical and civilizing function, Asma argues that its core value lies in its emotionally therapeutic power. No theorist of religion has failed to notice the importance of emotions in spiritual and ritual life, but truly systematic research has only recently delivered concrete data on the neurology, psychology, and anthropology of the emotional systems. This very recent "affective turn" has begun to map out a powerful territory of embodied cognition. Why We Need Religion incorporates new data from these affective sciences into the philosophy of religion. It goes on to describe the way in which religion manages those systems--rage, play, lust, care, grief, and so on. Finally, it argues that religion is still the best cultural apparatus for doing this adaptive work. In short, the book is a Darwinian defense of religious emotions and the cultural systems that manage them. (shrink)

Many intelligent, capable, and successful individuals believe that their success is due to luck and fear that they will someday be exposed as imposters. A puzzling feature of this phenomenon, commonly referred to as imposter syndrome, is that these same individuals treat evidence in ways that maintain their false beliefs and debilitating fears: they ignore and misattribute evidence of their own abilities, while readily accepting evidence in favour of their inadequacy. I propose a novel account of imposter syndrome as an (...) instance of self-deception, whereby biased evidence treatment is driven by the motivational benefit of negative self-appraisal. This account illuminates a number of interconnected philosophical and scientific puzzles related to the explanation, definition, and value of imposter syndrome. (shrink)

In this paper, I discuss empirical evidence regarding anorexic patients’ distorted body representations. I fit this evidence into a broader framework for understanding how the spatial content of the body is tracked and represented. This framework is motivated by O’Shaughnessy’s (1980) long-term body image hypothesis. This hypothesis posits a representation that tracks changes in the spatial content of the body and supplies this content to other body representations. I argue that a similar kind of body representation might exist and, in (...) the case of anorexia, be distorted. Finally, I suggest that this body representation might become distorted through influence by affect. -/- . (shrink)

This entry offers a critical overview of the contemporary literature on understanding, especially in epistemology and the philosophy of science.

We characterize, more precisely than before, what Rawls calls the “analytical” method of drawing up a list of basic liberties. This method employs one or more general conditions that, under any just social order whatever, putative entitlements must meet for them to be among the basic liberties encompassed, within some just social order, by Rawls’s first principle of justice (i.e., the liberty principle). We argue that the general conditions that feature in Rawls’s own account of the analytical method, which employ (...) the notion of necessity, are too stringent. They ultimately fail to deliver as basic certain particular liberties that should be encompassed within any fully adequate scheme of liberties. To address this under-generation problem, we provide an amended general condition. This replaces Rawls’s necessity condition with a probabilistic condition and it appeals to the standard liberal prohibition on arbitrary coercion by the state. We defend our new approach both as apt to feature in applications of the analytical method and as adequately grounded in justice as fairness as Rawls articulates the theory’s fundamental ideas. (shrink)

Over the last fifteen years, an ambitious explanatory framework has been proposed to unify explanations across biology and cognitive science. Active inference, whose most famous tenet is the free energy principle, has inspired excitement and confusion in equal measure. Here, we lay the ground for proper critical analysis of active inference, in three ways. First, we give simplified versions of its core mathematical models. Second, we outline the historical development of active inference and its relationship to other theoretical approaches. Third, (...) we describe three different kinds of claim -- labelled mathematical, empirical and general -- routinely made by proponents of the framework, and suggest dialectical links between them. Overall, we aim to increase philosophical understanding of active inference so that it may be more readily evaluated. -/- This the final submitted version of the Introduction to the Topical Collection "The Free Energy Principle: From Biology to Cognition", forthcoming in Biology & Philosophy. (shrink)

I argue that Schopenhauer’s ascription of (moral) rights to animals flows naturally from his distinctive analysis of the concept of a right. In contrast to those who regard rights as fundamental and then cast wrongdoing as a matter of violating rights, he takes wrong (Unrecht) to be the more fundamental notion and defines the concept of a right (Recht) in its terms. He then offers an account of wrongdoing which makes it plausible to suppose that at least many animals can (...) be wronged and thus, by extension, have rights. The result, I argue, is a perspective on the nature of moral rights in general, and the idea of animal rights in particular, that constitutes an important and plausible alternative to the more familiar views advanced by philosophers in recent decades. (shrink)

Robust Realists think that there are irreducible, non-natural, and mind-independent moral properties. Quasi-Realists and Relaxed Realists think the same, but interpret these commitments differently. Robust Realists interpret them as metaphysical commitments, to be defended by metaphysical argument. Quasi-Realists and Relaxed Realists say that they can only be interpreted as moral commitments. These theories thus pose a serious threat to Robust Realism, for they apparently undermine the very possibility of articulating the robust metaphysical commitments of this theory. I clarify and respond (...) to this threat, showing that there is in fact space to develop and defend a robust moral ontology. (shrink)

Bernard Williams's motivational reasons-internalism fails to capture our first-order reasons judgements, while Derek Parfit's nonnaturalistic reasons-externalism cannot explain the nature or normative authority of reasons. This paper offers an intermediary view, reformulating scepticism about external reasons as the claim not that they don't exist but rather that they don't matter. The end-relational theory of normative reasons is proposed, according to which a reason for an action is a fact that explains why the action would be good relative to some end, (...) where the relevant end for any ascription of reasons is determined by the speaker's conversational context. Because these ends need not be the agent's ends, Williams is wrong to reject the existence of external reasons. But contra Parfit, a reason for action is only important for an agent if it is motivationally internal to that agent. (shrink)

In this paper we present a new metaphysical theory of material objects. On our theory, objects are bundles of property instances, where those properties give the nature or essence of that object. We call the theory essential bundle theory. Property possession is not analysed as bundle-membership, as in traditional bundle theories, since accidental properties are not included in the object’s bundle. We have a different story to tell about accidental property possession. This move reaps many benefits. Essential bundle theory delivers (...) a simple theory of the essential properties of material objects; an explanation of how object coincidence can arise; an actual-world ground for modal differences between coincident objects; a simple story about intrinsic properties; and a plausible account of certain ubiquitous cases of causal overdetermination. (shrink)

http://www.slimmerbetteryou.com Talks about weight loss principles and facts that need to be understood perfectly well.

Some philosophers contend that the past must be finite in duration, because otherwise reaching the present would have involved the sequential occurrence of an actual infinity of events, which they regard as impossible. I recently developed a new objection to this finitist argument, to which Andrew Ter Ern Loke and Travis Dumsday have replied. Here I respond to the three main points raised in their replies.

Many who suffer from eating disorders claim that they see themselves as “fat”. Despite decades of research into the phenomenon, behavioural evidence has failed to confirm that eating disorders involve visual misperception of own-body size. I illustrate the importance of this phenomenon for our understanding of perceptual processing, outline the challenges involved in experimentally confirming it, and provide solutions to those challenges.

The concept and usage of the word 'metric' within General Relativity is briefly described. The early work of Roy Kerr led to his original 1963 algebraic, rotating metric. This discovery and his subsequent recollection in 2008 are summarised as the motivation for this article. Computer algebra has confirmed that nominal transformations of this early metric can generate further natural algebraic metrics. The algebra is not abstract, nor advanced, and these metrics have been overlooked for many years. The 1916 metric due (...) to Schwarzschild misled Kerr into seeking a similar metric for rotation. The philosophy of astrophysics for Penrose, Hawking and others would have been very different had they used the two lost metrics. (shrink)