Philosophers of language are increasingly engaging with derogatory terms or slurs. Only few theorists take such language as a starting point for addressing puzzles in philosophy of language with little connection to our real-world problems. This paper aims to show that the political nature of derogatory language use calls for non-ideal theorising as we find it in the work of feminist and critical race scholars. Most contemporary theories of slurs, so I argue, fall short on some desiderata associated with a (...) non-ideal approach. They neglect crucial linguistic or political aspects of morally and politically significant meaning. I argue that a two-stage project is necessary to understand the perniciousness of slurs: accounting for the derogatory content of derogatory terms in general and, additionally, explaining the communicative function of slurs more specifically. I end by showing how inferentialism is well-suited to account for the content of derogatory terms whilst allowing for further explanations of the communicative functions of slurs. (shrink)

Despite the widespread use of key concepts of the Neyman–Pearson (N–P) statistical paradigm—type I and II errors, significance levels, power, confidence levels—they have been the subject of philosophical controversy and debate for over 60 years. Both current and long-standing problems of N–P tests stem from unclarity and confusion, even among N–P adherents, as to how a test's (pre-data) error probabilities are to be used for (post-data) inductive inference as opposed to inductive behavior. We argue that the relevance of error probabilities (...) is to ensure that only statistical hypotheses that have passed severe or probative tests are inferred from the data. The severity criterion supplies a meta-statistical principle for evaluating proposed statistical inferences, avoiding classic fallacies from tests that are overly sensitive, as well as those not sensitive enough to particular errors and discrepancies. Introduction and overview 1.1 Behavioristic and inferential rationales for Neyman–Pearson (N–P) tests 1.2 Severity rationale: induction as severe testing 1.3 Severity as a meta-statistical concept: three required restrictions on the N–P paradigm Error statistical tests from the severity perspective 2.1 N–P test T(): type I, II error probabilities and power 2.2 Specifying test T() using p-values Neyman's post-data use of power 3.1 Neyman: does failure to reject H warrant confirming H? Severe testing as a basic concept for an adequate post-data inference 4.1 The severity interpretation of acceptance (SIA) for test T() 4.2 The fallacy of acceptance (i.e., an insignificant difference): Ms Rosy 4.3 Severity and power Fallacy of rejection: statistical vs. substantive significance 5.1 Taking a rejection of H0 as evidence for a substantive claim or theory 5.2 A statistically significant difference from H0 may fail to indicate a substantively important magnitude 5.3 Principle for the severity interpretation of a rejection (SIR) 5.4 Comparing significant results with different sample sizes in T(): large n problem 5.5 General testing rules for T(), using the severe testing concept The severe testing concept and confidence intervals 6.1 Dualities between one and two-sided intervals and tests 6.2 Avoiding shortcomings of confidence intervals Beyond the N–P paradigm: pure significance, and misspecification tests Concluding comments: have we shown severity to be a basic concept in a N–P philosophy of induction? (shrink)

While many philosophers of science have accorded special evidential significance to tests whose results are "novel facts", there continues to be disagreement over both the definition of novelty and why it should matter. The view of novelty favored by Giere, Lakatos, Worrall and many others is that of use-novelty: An accordance between evidence e and hypothesis h provides a genuine test of h only if e is not used in h's construction. I argue that what lies behind the intuition that (...) novelty matters is the deeper intuition that severe tests matter. I set out a criterion of severity akin to the notion of a test's power in Neyman-Pearson statistics. I argue that tests which are use-novel may fail to be severe, and tests that are severe may fail to be use-novel. I discuss the 1919 eclipse data as a severe test of Einstein's law of gravity. (shrink)

Humans have become increasingly datafied with the use of digital technologies that generate information with and about their bodies and everyday lives. The onto-epistemological dimensions of human–data assemblages and their relationship to bodies and selves have yet to be thoroughly theorised. In this essay, I draw on key perspectives espoused in feminist materialism, vital materialism and the anthropology of material culture to examine the ways in which these assemblages operate as part of knowing, perceiving and sensing human bodies. I draw (...) particularly on scholarship that employs organic metaphors and concepts of vitality, growth, making, articulation, composition and decomposition. I show how these metaphors and concepts relate to and build on each other, and how they can be applied to think through humans’ encounters with their digital data. I argue that these theoretical perspectives work to highlight the material and embodied dimensions of human–data assemblages as they grow and are enacted, articulated and incorporated into everyday lives. (shrink)

Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives that has been an obstacle to progress. By means of a series of exchanges between the editors and leaders from the philosophy of science, statistics and economics, this volume offers a cumulative introduction connecting problems of traditional philosophy of science to problems of inference in statistical and empirical modelling practice. Philosophers of science and scientific practitioners (...) are challenged to reevaluate the assumptions of their own theories - philosophical or methodological. Practitioners may better appreciate the foundational issues around which their questions revolve and thereby become better 'applied philosophers'. Conversely, new avenues emerge for finally solving recalcitrant philosophical problems of induction, explanation and theory testing. (shrink)

The key problem in the controversy over group selection is that of defining a criterion of group selection that identifies a distinct causal process that is irreducible to the causal process of individual selection. We aim to clarify this problem and to formulate an adequate model of irreducible group selection. We distinguish two types of group selection models, labeling them type I and type II models. Type I models are invoked to explain differences among groups in their respective rates of (...) production of contained individuals. Type II models are invoked to explain differences among groups in their respective rates of production of distinct new groups. Taking Elliott Sober's model as an exemplar, we argue that although type I models have some biological importance--they force biologists to consider the role of group properties in influencing the fitness of organisms--they fail to identify a distinct group-level causal selection process. Type II models if properly framed, however, do identify a group-level causal selection process that is not reducible to individual selection. We propose such a type II model and apply it to some of the major candidates for group selection. (shrink)

Our everyday practices are meaningful in several ways. In addition to the linguistic meanings of our terms and sentences, we attach social meanings to actions and statuses. Philosophy of language and public debates often focus on contesting morally and politically pernicious linguistic practices. My aim is to show that this is too little: even if we are only interested in morally and politically problematic terms, we must counteract a pernicious linguistic practice on many levels, especially on the level of its (...) underlying social meanings. Otherwise, the critique of specific words as the most salient fruits of this practice will be futile. I trace out two paths through which pernicious social meanings feed into linguistic meanings and make the case for constructive contestations of social meanings as an alternative to criticising the use of a few highly pernicious terms in which these social meanings are manifest. My investigation into how social structures shape both social and linguistic meanings sheds further light on the ways in which social meanings enter linguistic exchanges. Moreover, it reveals that what is said in specific situations is more closely connected to our non-verbal actions than the current literature on semantics and the social sciences allows. (shrink)

The growing availability of computer power and statistical software has greatly increased the ease with which practitioners apply statistical methods, but this has not been accompanied by attention to checking the assumptions on which these methods are based. At the same time, disagreements about inferences based on statistical research frequently revolve around whether the assumptions are actually met in the studies available, e.g., in psychology, ecology, biology, risk assessment. Philosophical scrutiny can help disentangle 'practical' problems of model validation, and conversely, (...) a methodology of statistical model validation can shed light on a number of issues of interest to philosophers of science. (shrink)

This commentary is an attempt to begin to identify and think through some of the ways in which sociocultural theory may contribute to understandings of the relationship between humans and digital data. I develop an argument that rests largely on the work of two scholars in the field of science and technology studies: Donna Haraway and Annemarie Mol. Both authors emphasised materiality and multiple ontologies in their writing. I argue that these concepts have much to offer critical data studies. I (...) employ the tropes of companion species, drawn from Haraway, and eating data, from Mol, and demonstrate how these may be employed to theorise digital data–human assemblages. (shrink)

Recently, there has been growing interest in methodological issues of non-ideal theoretical philosophy. While some explicitly commit to non-ideal theorising, others doubt that there is anything useful about the ideal/non-ideal distinction in theoretical philosophy. The aim of this paper is twofold. On the one hand, I propose a way of doing non-ideal theoretical philosophy, once we realise how limited certain idealised projects are. Since there is a big overlap between projects that are called non-ideal and applied, the second aim is (...) to distinguish between these categories in order to show that applied theoretical philosophy is only worth pursuing if it operates in a non-ideal framework. I argue that we should be pluralistic about possible non-ideal theories and view the ideal/non-ideal differences as a matter of degree, rather than kind. As an example, I show how my version of non-ideal theory is useful to a concrete debate in philosophy of language. My proposal allows us to identify already existing non-ideal approaches to linguistic meaning and encourages us to further engage in the debate on non-ideal theoretical philosophy. (shrink)

In seeking general accounts of evidence, confirmation, or inference, philosophers have looked to logical relationships between evidence and hypotheses. Such logics of evidential relationship, whether hypothetico-deductive, Bayesian, or instantiationist fail to capture or be relevant to scientific practice. They require information that scientists do not generally have (e.g., an exhaustive set of hypotheses), while lacking slots within which to include considerations to which scientists regularly appeal (e.g., error probabilities). Building on my co-symposiasts contributions, I suggest some directions in which a (...) new and more adequate philosophy of evidence can move. (shrink)

Framed within the broader theoretical context of social semiotics, we attempt to show how university students communicate using a variety of unique means, in particular social contexts. We privilege Pennycook and Otsuji’s semiotic assemblages, Jimaima and Simungala’s semiotic creativity, and the notion of semiotic economy as critical ingredients that conspire to give rise to the unique and complex coinages and innovations constituting students’ repertoires. We argue that, born out of creativity, the students’ repertoires are semiotically and economically charged discourses that (...) generate extended narratives such that more is realized with less. We show that this reality undoubtedly constitutes a multi-semiotic meaning-making endeavor that enacts and sustains students’ imagined and lived experiences in real sociocultural, historical, and political spaces in the multilingual landscapes of university campuses. (shrink)

Language can be used as an instrument to exert power over people, as in issuing an order or a ban, or when it exercises an intrinsic power by virtue of its semantic or pragmatic content. The Politics of Meaning focuses on this latter aspect and answers the following question: what does it mean for linguistic meaning to be embedded in social structures and practices if we have good reasons to assume that these practices rest on asymmetrical power relations and are (...) often unjust? My comprehensive study of meaning in morally and politically problematic language use accomplishes four major goals. Firstly, I defend a theory of meaning which is able to account for a broad range of politically significant aspects of language use. Secondly, I relate these aspects to non-linguistic aspects of social practices which are structured by asymmetrical power relations. Thirdly, my work responds to topical questions of public debates concerning language criticism, political disagreement, and political correctness. Fourthly and finally, my approach involves reflecting on the methodological problems that arise when we engage in politically relevant philosophical questions. It is both a plea for and an instance of non-ideal philosophy of language. (shrink)

Digital health technologies are often advocated as a way of helping people monitor, promote and manage their health, care for others and reduce the burden on healthcare systems. Yet these technologies have also been subject to criticism for limiting human flourishing and exacerbating socioeconomic disadvantage. Bioethical appraisals of digital health technologies tend to take a conventional risk‐benefit approach, positioning the human subject as a rational, autonomous agent who is acted on by technologies. In this paper, I present a case for (...) adopting an alternative more‐than‐human perspective on bioethics. A more‐than‐human approach considers human‐technological assemblages and agencies as distributed, relational, situated and emergent. To illustrate the insights that this perspective can offer, I draw on the findings of four empirical projects I have conducted on people’s use of digital devices and platforms used for health‐related purposes, including social media groups and online forums, mobile apps and wearable devices. I conclude with the argument that a more‐than‐human approach to bioethics can begin to incorporate a new ‘zoë ethics’ that can acknowledge and address the deeper affective, multisensory and relational dimensions of humans’ encounters with and enactments of material things and nonhuman creatures. (shrink)

Inferentialism seems to be an unpopular theory where derogatory terms are concerned. Contrary to most theorists in the debate on the meaning of derogatory terms, I think that inferentialism constitutes a promising theory to account for a broad range of aspects of derogatory language use. In order to make good on that promise, however, inferentialism must overcome four main objections that are usually raised against Michael Dummett's and Robert Brandom's inferentialist explanations of derogatory terms. This paper aims at debunking these (...) objections and thereby further developing the inferentialist interpretation of derogatory terms. I shall first discuss and reject three of the objections by pointing to the core assumptions of Brandomian inferentialism. Overcoming the fourth objection requires adjusting Dummett's and Brandom's explanation of the meaning of derogatory terms. In order to do so, I shall elaborate on the role that the explication of implicit material inferences plays with regard to different kinds of derogatory terms. The inferentialist account I am proposing fares better in terms of its explanatory power and broadness of application than Dummett's and Brandom's sketchy and oft-criticised views. (shrink)

After some general remarks about the interrelation between philosophical and statistical thinking, the discussion centres largely on significance tests. These are defined as the calculation of p-values rather than as formal procedures for ‘acceptance‘ and ‘rejection‘. A number of types of null hypothesis are described and a principle for evidential interpretation set out governing the implications of p- values in the specific circumstances of each application, as contrasted with a long-run interpretation. A number of more complicated situ- ations are discussed (...) in which modification of the simple p-value may be essential. (shrink)

This article argues that the fact that an action will compound a prior injustice counts as a reason against doing the action. I call this reason The Anti-Compounding Injustice principle or aci. Compounding injustice and the aci principle are likely to be relevant when analyzing the moral issues raised by “big data” and its combination with the computational power of machine learning and artificial intelligence. Past injustice can infect the data used in algorithmic decisions in two distinct ways. Sometimes prior (...) injustice undermines the accuracy of the data itself. In these contexts, improving accuracy will also help to avoid compounding injustice. Other times, past injustice produces real-world differences among people with regard to skills, health, wealth, and other traits that employers, lenders, and others seek to measure. When decisions are based on accurate data that itself results from prior injustice, these decisions can also compound injustice. This second dynamic has received less attention than the first but is especially important because improving the accuracy of data will not mitigate this unfairness. (shrink)

Exploring the philosophical foundations of discrimination law as it exists in several jurisdictions, this collection of all new essays bridges the gap between abstract philosophical work on justice and fairness and legal work on specific types of discrimination.

Seventeenth-century natural-law philosophers participated in colonizing and slave-trading companies, yet they discussed slavery as an abstraction. This dispassionate approach is commonly explained with the “distance thesis” that the practice of slavery was at some remove from Northwest Europe. I contest the thesis, with a specific focus on pre-Restoration English discourse and Hobbes's political theory. By laying out the salient context — English experience of Barbary-coast slavery and an inherited neo-Roman intellectual frame — I argue, first, that slavery was hardly a (...) distant phenomenon and, second, that Hobbes's discussion of slavery expressed ideas familiar in ordinary discourse. The conclusion contrasts the English neo-Roman outlook with Spanish neo-Aristotelianism. (shrink)

In his Feature Article ‘Represent me: please: Towards an ethics of digital twins in medicine’1, Mattias Braun considers several important bioethical issues in relation to the use of digital twin simulations in health and medical contexts. He focuses on the ways these simulations are used or are proposed to be deployed in these domains, including to what extent they are a ‘true’ or ‘real’ representation of human bodies. In this response, I want to take a step back and delve into (...) the metaphor of the ‘digital twin’. I consider the implications of using this metaphor in the context of medical care and how this choice of language participates in what science and technology scholars term the ‘sociomaterial imaginaries’ that are used to support and promote novel technologies.2 Language is important. It matters. The choice of language is both symbolic and persuasive. It intervenes in political and policy debates and research and healthcare funding decisions.2 It has material effects and affects: to some of which Braun has gestured in his piece. The …. (shrink)

Hobbes's defense of absolutism involves the dual claims that consent is the foundation of legitimate authority and that sovereignty is necessarily absolute. It is a paradoxical combination of claims: If absolute government is the product of choice how can it also be the sole possible constitution? While all of Hobbes's contractarian successors have rejected his preference for absolutism, his dual claims have become commonplace. Since Hobbes, contract thinkers routinely assert that people will choose their preferred constitution and that it is (...) the only possible one. The essay examines the genesis of this paradoxical argumentation: Hobbes's genius lay in merging Grotius's contractarian rationale with Bodin's analytic view that sovereignty must be absolute. The final section discusses related criticisms of Rawls's contract theory. Rawls inherited a genre already flawed by the impluse to combine voluntarist with non-voluntarist reasoning. (shrink)

The issues of double-counting, use-constructing, and selection effects have long been the subject of debate in the philosophical as well as statistical literature. I have argued that it is the severity, stringency, or probativeness of the test—or lack of it—that should determine if a double-use of data is admissible. Hitchcock and Sober ([2004]) question whether this ‘severity criterion' can perform its intended job. I argue that their criticisms stem from a flawed interpretation of the severity criterion. Taking their criticism as (...) a springboard, I elucidate some of the central examples that have long been controversial, and clarify how the severity criterion is properly applied to them. Severity and Use-Constructing: Four Points (and Some Clarificatory Notes) 1.1 Point 1: Getting beyond ‘all or nothing’ standpoints 1.2 Point 2: The rationale for prohibiting double-counting is the requirement that tests be severe 1.3 Point 3: Evaluate severity of a test T by its associated construction rule R 1.4 Point 4: The ease of passing vs. ease of erroneous passing: Statistical vs. ‘Definitional’ probability The False Dilemma: Hitchcock and Sober 2.1 Marsha measures her desk reliably 2.2 A false dilemma Canonical Errors of Inference 3.1 How construction rules may alter the error-probing performance of tests 3.2 Rules for accounting for anomalies 3.3 Hunting for statistically significant differences Concluding Remarks. (shrink)

An important theme to have emerged from the new experimentalist movement is that much of actual scientific practice deals not with appraising full-blown theories but with the manifold local tasks required to arrive at data, distinguish fact from artifact, and estimate backgrounds. Still, no program for working out a philosophy of experiment based on this recognition has been demarcated. I suggest why the new experimentalism has come up short, and propose a remedy appealing to the practice of standard error statistics. (...) I illustrate a portion of my proposal using Galison's experimental narrative on neutral currents. (shrink)

In 1241/4 the theology masters at the university at Paris with their chancellor, Odo of Chateauroux, mandated by their bishop, William of Auvergne, met to condemn ten propositions against theological truth. This book represents the first comprehensive examination of what hitherto has been a largely ignored instrument in a crucial period of the university's early maturation. However, the book's ambition goes wider than this. The condemnation provides a window through which to view the wider doctrinal, intellectual, institutional and historical developments (...) within the emerging university. These include the advent of the Dominicans and Franciscans at the university; and the developing focus of Paris theologians on using their learning for preaching at a time of a rapid and sometimes divergent development of doctrine and concerns over the newly-translated Aristotelian and associated Arab and Jewish works, heresy, the Greek Church and the Jews. The book compares the condemnation's ten articles with the major statement of Catholic principles in the first canon of the Fourth Lateran Council, 1215, and assesses what conclusions can be drawn from their apparent correlation. (shrink)

While orthodox (Neyman-Pearson) statistical tests enjoy widespread use in science, the philosophical controversy over their appropriateness for obtaining scientific knowledge remains unresolved. I shall suggest an explanation and a resolution of this controversy. The source of the controversy, I argue, is that orthodox tests are typically interpreted as rules for making optimal decisions as to how to behave--where optimality is measured by the frequency of errors the test would commit in a long series of trials. Most philosophers of statistics, however, (...) view the task of statistical methods as providing appropriate measures of the evidential-strength that data affords hypotheses. Since tests appropriate for the behavioral-decision task fail to provide measures of evidential-strength, philosophers of statistics claim the use of orthodox tests in science is misleading and unjustified. What critics of orthodox tests overlook, I argue, is that the primary function of statistical tests in science is neither to decide how to behave nor to assign measures of evidential strength to hypotheses. Rather, tests provide a tool for using incomplete data to learn about the process that generated it. This they do, I show, by providing a standard for distinguishing differences (between observed and hypothesized results) due to accidental or trivial errors from those due to systematic or substantively important discrepancies. I propose a reinterpretation of a commonly used orthodox test to make this learning model of tests explicit. (shrink)

Kuhn maintains that what marks the transition to a science is the ability to carry out ‘normal’ science—a practice he characterizes as abandoning the kind of testing that Popper lauds as the hallmark of science. Examining Kuhn's own contrast with Popper, I propose to recast Kuhnian normal science. Thus recast, it is seen to consist of severe and reliable tests of low-level experimental hypotheses (normal tests) and is, indeed, the place to look to demarcate science. While thereby vindicating Kuhn on (...) demarcation, my recasting of normal science is seen to tell against Kuhn's view of revolutionary science. (shrink)

BackgroundHealth data-driven activities have become central in diverse fields (research, AI development, wearables, etc.), and new ethical challenges have arisen with regards to privacy, integrity, and appropriateness of use. To ensure the protection of individuals’ fundamental rights and freedoms in a changing environment, including their right to the protection of personal data, we aim to identify the ethical approaches adopted by scientists during intensive data exploitation when collecting, using, or sharing peoples’ health data.MethodsTwelve scientists who were collecting, using, or sharing (...) health data in different contexts in Sweden, were interviewed. We used systematic expert interviews to access these scientists’ specialist knowledge, and analysed the interviews with thematic analysis. Phrases, sentences, or paragraphs through which ethical values and norms were expressed, were identified and coded. Codes that reflected similar concepts were grouped, subcategories were formulated, and categories were connected to traditional ethical approaches.ResultsThrough several examples, the respondents expressed four different ethical approaches, which formed the main conceptual categories: consideration of consequences, respect for rights, procedural compliance, and being professional.ConclusionsTo a large extent, the scientists’ ethical approaches were consistent with ethical and legal principles. Data sharing was considered important and worth pursuing, even though it is difficult. An awareness of the complex issues involved in data sharing was reflected from different perspectives, and the respondents commonly perceived a general lack of practical procedures that would by default ensure ethical and legally compliant data collection and sharing. We suggest that it is an opportune time to move on from policy discussions to practical technological ethics-by-design solutions that integrate these principles into practice. (shrink)

Biological kin share up to half of their genetic material, including predisposition to disease. Thus, variants of clinical significance identified in each individual’s genome can implicate an exponential number of relatives at potential risk. This has renewed the dilemma over family access to research participant’s genetic results, since prevailing US practices treat these as private, controlled by the individual. These individual-based ethics contrast with the family-based ethics – in which genetic information, privacy, and autonomy are considered to be familial – (...) endorsed in UK genomic medicine and by participants in a multi-method study of US research participants presented here. The dilemma reflects a conflict between US legal and ethical frameworks that privilege “the individual” and exclude “the family” versus actual human genetics that are simultaneously individual and familial. Can human genetics succeed in challenging bioethics’ hegemonic individualism to recognize and place the family at the center of the room where bioethics happens? (shrink)

In both the _Treatise and the first _Enquiry, Hume offers an argument from analogy comparing how humans and animals make causal inferences. Yet in these and other texts, he suggests that there are certain differences between human and animal reasoning. This paper discusses Hume's argument from analogy, and examines how Hume can argue for differences in human and animal reasoning without having to attribute to either a special capacity that the other lacks. Hume's empiricism and his claims about sympathy also (...) give him good reason to hold that in animals just as in humans, reason is a virtue. (shrink)

Cartwright argues for being a realist about theoretical entities but non-realist about theoretical laws. Her reason is that while the former involves causal explanation, the latter involves theoretical explanation; and inferences to causes, unlike inferences to theories, can avoid the redundancy objection--that one cannot rule out alternatives that explain the phenomena equally well. I sketch Cartwright's argument for inferring the most probable cause, focusing on Perrin's inference to molecular collisions as the cause of Brownian motion. I argue that either the (...) inference she describes fails to be a genuinely causal one, or else it too is open to the redundancy objection. However, I claim there is a way to sustain Cartwright's main insight: that it is possible to avoid the redundancy objection in certain cases of causal inference from experiments (e.g., Perrin). But, contrary to Cartwright, I argue that in those cases one is able to infer causes only by inferring some theoretical laws about how they produce experimental effects. (shrink)

Clinical research employing the randomized clinical trial has, traditionally, been understood to pose an ethical dilemma. On the one hand, each patient ought to get the treatment that best meets her needs, as judged by the patient in consultation with her doctor. On the other hand, the method most helpful to advancing our understanding about what treatments are indeed best able to meet patient needs is the randomized trial, which necessitates that each patient's care is decided not by physician judgment (...) or patient choice but instead by random assignment. The tension can be described as a conflict between the interests of individual patients who are sick today, and the interests of the group of people who will become sick in the future and would benefit from advances in medical understanding. How one ought to balance these important and often competing interests is an important ethical question that resists easy resolution. (shrink)

I was dreaming about Delores when the phone interrupted us. It was the Chief, or ‘Stress,’ as we liked to call him, telling me to get part of my anatomy down to Shakey’s Funeral Parlor. My head ached. I thought I must be the only sucker who gets a hangover from being drunk on life. I got up, put two eggs, a spoonful of wheatgerm, the remains of the scotch, and the phonebill into the blender and fed the whole lot (...) to the cat. It helped, but not as much as Delores would have. I should have married her even if she was a Hubot. At least she could play chess. I was still Rumanating over Delores as I hit the curb outside Shakey’s.I had the notion that Shakey’s was once a pizza joint but I could have been wrong. I found Stress, disheveled as usual, in the lobby.‘You’re late,’ he said. I wasn’t, but he’s thatkinda guy. He says ‘Jump!’ and you say ‘With or without my legs?’ We got our free Cokes from Shakey himself, who led us down the hall. (shrink)

A toast is due to one who slays Misguided followers of Bayes, And in their heart strikes fear and terror With probabilities of error! (E.L. Lehmann).

L'A. presenta un'analisi della Lettera sull'anima, in cui Avicenna affronta il tema delle idee di esseri fittizi, come la fenice, ed in particolare la permanenza di tali idee nell'anima dopo la sua separazione dal corpo. Nella parte centrale dello studio l'A. esamina il rapporto fra la risposta avicenniana al problema ed alcuni elementi dottrinali caratterizzanti il pensiero del filosofo: il tema degli universali, della quidditas, o natura comune, e la distinzione fra essenza ed esistenza.

I document some of the main evidence showing that E. S. Pearson rejected the key features of the behavioral-decision philosophy that became associated with the Neyman-Pearson Theory of statistics (NPT). I argue that NPT principles arose not out of behavioral aims, where the concern is solely with behaving correctly sufficiently often in some long run, but out of the epistemological aim of learning about causes of experimental results (e.g., distinguishing genuine from spurious effects). The view Pearson did hold gives a (...) deeper understanding of NPT tests than their typical formulation as accept-reject routines, against which criticisms of NPT are really directed. The Pearsonian view that emerges suggests how NPT tests may avoid these criticisms while still retaining what is central to these methods: the control of error probabilities. (shrink)

The error statistical account of testing uses statistical considerations, not to provide a measure of probability of hypotheses, but to model patterns of irregularity that are useful for controlling, distinguishing, and learning from errors. The aim of this paper is (1) to explain the main points of contrast between the error statistical and the subjective Bayesian approach and (2) to elucidate the key errors that underlie the central objection raised by Colin Howson at our PSA 96 Symposium.

In Philosophical Problems of Statistical Inference, Seidenfeld argues that the Neyman-Pearson (NP) theory of confidence intervals is inadequate for a theory of inductive inference because, for a given situation, the 'best' NP confidence interval, [CIλ], sometimes yields intervals which are trivial (i.e., tautologous). I argue that (1) Seidenfeld's criticism of trivial intervals is based upon illegitimately interpreting confidence levels as measures of final precision; (2) for the situation which Seidenfeld considers, the 'best' NP confidence interval is not [CIλ] as Seidenfeld (...) suggests, but rather a one-sided interval [CI0]; and since [CI0] never yields trivial intervals, NP theory escapes Seidenfeld's criticism entirely; (3) Seidenfeld's criterion of non-triviality is inadequate, for it leads him to judge an alternative confidence interval, [CI alt. ], superior to [CIλ] although [CI alt. ] results in counterintuitive inferences. I conclude that Seidenfeld has not shown that the NP theory of confidence intervals is inadequate for a theory of inductive inference. (shrink)