According to Theodore Schick, Jr., Eugenie C. Scott’s endorsement of methodological naturalism---roughly, the view that science is limited by its methodology to be neutral vis-à-vis the supernatural---is misguided. He offers three arguments; I contend that none is successful.

Matthew D. Eddy and David Knight’s new edition of William Paley’s Natural Theology deserves to become the standard scholarly edition of what is a historically, theologically, and philosophically important work, despite a certain neglect of philosophical issues on the part of the editors.

The National School Boards Association enlisted Eugenie Scott and Glenn Branch to criticize intelligent design bullet point fashion. Here I want to respond to these bullet-point assertions. I would repeat the entire article, but copyright restrictions prevent me. The article is available at http://nsba.org/sbn/02-jul/070202-8.htm.

Degrees of belief; Dempster's rule of combination; Simple and separable support functions; The weights of evidence; Compatible frames of discernment; Support functions; The discernment of evidence; Quasi support functions; Consonance; Statistical evidence; The dual nature of probable reasoning.

When we are fatigued, we feel that our performance is worse than when we are fresh. Yet, for over 100 years, researchers have been unable to identify an objective, behavioral measure that covaries with the subjective experience of fatigue. Previous work suggests that the metrics of signal detection theory —response bias and perceptual certainty —may change as a function of fatigue, but no work has yet been done to examine whether these metrics covary with fatigue. Here, we investigated cognitive fatigue (...) using SDT. We induced fatigue through repetitive performance of the n-back working memory task, while functional magnetic resonance imaging data was acquired. We also assessed cognitive fatigue at intervals throughout. This enabled us to assess not only whether criterion and d’ covary with cognitive fatigue but also whether similar patterns of brain activation underlie cognitive fatigue and SDT measures. Our results show that both criterion and d’ were correlated with changes in cognitive fatigue: as fatigue increased, subjects became more conservative in their response bias and their perceptual certainty declined. Furthermore, activation in the striatum of the basal ganglia was also related to cognitive fatigue, criterion, and d’. These results suggest that SDT measures represent an objective measure of cognitive fatigue. Additionally, the overlap and difference in the fMRI results between cognitive fatigue and SDT measures indicate that these measures are related while also separate. In sum, we show the relevance of SDT measures in the understanding of fatigue, thus providing researchers with a new set of tools with which to better understand the nature and consequences of cognitive fatigue. (shrink)

Responses to the COVID-19 pandemic prompted people and institutions to turn to online virtual environments for a wide variety of social gatherings. In this perspectives article, we draw upon our previous work and interviews with Ghanaian Christian leaders to consider implications of this shift. Specifically, we propose that the shift from physical to virtual interactions mimics and amplifies the neoliberal individualist experience of abstraction from place associated with Eurocentric modernity. On the positive side, the shift from physical to virtual environments (...) liberates people to selectively pursue the most fulfilling interactions, free from constraints of physical distance. On the negative side, the move from physical to virtual space necessitates a shift from material care and tangible engagement with the local community to the psychologization of care and pursuit of emotional intimacy in relations of one’s choosing—a dynamic that further marginalizes people who are already on the margins. The disruptions of the pandemic provide an opportunity to re-set social relations, to design ways of being that better promote sustainable collective well-being rather than fleeting personal fulfillment. (shrink)

Are there no new ideas to be invented? Are today's ideas really just borrowed from previous times? Postmodernism says this is so, and it's one of the hottest philosophies of today. The book provides an indispensable guide to this often-demanding terrain for readers encountering theories of postmodernism for the first time and places the subject in a broad context. It introduces a wide range of ideas, thinkers, and views yet maintains the readers' focus by linking theory with concrete examples from (...) both "high" and "popular" culture. After completing Teach Yourself Postmodernism , readers will never look at their world the same way again. (shrink)

Borrowing from evolutionary biology, existentialism, developmental psychology, and social learning theory, an integrated model of human behavior is applied to several forms of self-destructive behavior, to include anorexia nervosa, suicide, substance abuse, and pathological gambling. It is argued that self-destructive behavior is a function of how the individual psychologically construes survival and copes with perceptions of isolation and separation from the environment. The paradox of self-destructive behavior in organisms motivated by self-preservation is resolved by taking note of the fact that (...) self-destruction stems from peopleís efforts to survive psychologically and resolve the subjectóobject duality, even when this places their physical well-being in jeopardy. (shrink)

The present article is a contribution to a particularly urgent issue that is unfolding in Buddhist circles in North America andEurope. Although this issue is framed in various ways, it revolves around a single question; namely, what form will contemporary reconfigurations of Buddhism take in the twenty-first century West? The most influential groups in this discussion to date are those that style themselves secular-, progressive-, atheist-, agnostic-, liberal-, and post-traditional Buddhist. As these groups gain adherents in the West, traditional organizations, (...) such as the various Zens, Tibetans, Vipassanas, etc., are stating their claim to “Buddhism” with increasingly vehement proprietorship. The present article, however, is not yet another attempt to reformulate or reform (in any sense of the term) “Buddhism.” Neither is it concerned with ameliorating traditional Buddhism's relationship with contemporary western secular values. In performing its first task, however, my emerging theory, called “speculative non-buddhism,” can contribute to the current debate in a decisive way by showing that all forms of Buddhism are identical. What makes them so is that they are all governed by what I call “buddhistic decision:” the syntactical structure that constitutes all things, discourse, and people, “Buddhist.” Decision thus constitutes both the ideological nature, and the ideological constant, of “Buddhism.”. (shrink)

I compare Frith and colleagues’ influential comparator account of how the sense of agency is elicited to the multifactorial weighting model advocated by Synofzik and colleagues. I defend the comparator model from the common objection that the actual sensory consequences of action are not needed to elicit the sense of agency. I examine the comparator model’s ability to explain the performance of healthy subjects and those suffering from delusions of alien control on various self-attribution tasks. It transpires that the comparator (...) model needs case-by-case adjustment to deal with problematic data. In response to this, the multifactorial weighting model of Synofzik and colleagues is introduced. Although this model is incomplete, it is more naturally constrained by the cases that are problematic for the comparator model. However, this model may be untestable. I conclude that currently the comparator model approach has stronger support than the multifactorial weighting model approach. (shrink)

This article examines the argument that biodiversity is crucial for well-functioning ecosystems and that such ecosystems provide important goods and services to our human societies, in short the ecosystem services argument (ESA). While the ESA can be a powerful argument for nature preservation, we argue that its dominant functionalist interpretation is confronted with three significant problems. First, the ESA seems unable to preserve the nature it claims to preserve. Second, the ESA cannot explain why those caring about nature want to (...) preserve it. Third, the ESA might undermine its own goal because it potentially decreases environmental motivations. (shrink)

Conspiracy theories have largely been framed by the academy as a stigmatised form of knowledge. Yet recent scholarship has included calls to take conspiracy theories more seriously as an area of study with a desire to judge them on their own merits rather than an a priori dismissal of them as a class of explanation. This paper argues that the debates within the philosophy of religion, long overlooked by scholars of conspiracy theories, can help sow the seeds for re-examining our (...) understanding of conspiracy theories in a more balanced and nuanced way. The nature of religious belief is elemental to understanding the epistemological foundations of the conspiracy theorising worldview amidst what we may call ‘conspiratorial ambiguity’. Specifically, R.M. Hare's concept of bliks, which are unfalsifiable but meaningful worldviews, offers a way forward to reframe our approach towards the theory of conspiracy theories. (shrink)

An account of the conflict between our positive and negative emotional relationships to the Earth and how they will be resolved for the Symbiocene, the next period in the history of the Earth.

In most forms of evaluation the benefits of preventive health care are narrowly defined in terms of reductions in future morbidity and mortality. Thus it is normally assumed that it is the final health gains alone which bear utility. This discounts the possibility that individuals may derive utility from the process of health care and other outcomes as well as the end health states. Attributes such as anxiety, reassurance, autonomy, regret and hope provide potential benefits or disbenefits in addition to (...) health gains. This paper explores the concept of process utility in the specific context of preventive goods. Characteristics such as information, awareness and autonomy are examined for two preventive goods—hip protectors and mammographic screening. If individuals trade off process attributes for final health outcomes, then to ignore process utility may lead to a sub-optimal allocation of resources. (shrink)

Glenn Alexander Magee's controversial book argues that Hegel was decisively influenced by the Hermetic tradition, a body of thought with roots in Greco-Roman ...

THE ART OF CAUSAL CONJECTURE Glenn Shafer Table of Contents Chapter 1. Introduction........................................................................................ ...........1 1.1. Probability Trees..........................................................................................3 1.2. Many Observers, Many Stances, Many Natures..........................................8 1.3. Causal Relations as Relations in Nature’s Tree...........................................9 1.4. Evidence............................................................................................ ...........13 1.5. Measuring the Average Effect of a Cause....................................................17 1.6. Causal Diagrams..........................................................................................20 1.7. Humean Events............................................................................................23 1.8. Three Levels of Causal Language................................................................27 1.9. An Outline of the Book................................................................................27 Chapter 2. Event Trees............................................................................................... .....31 2.1. Situations and Events...................................................................................32 2.2. The Ordering of Situations and Moivrean Events.......................................35 2.3. Cuts................................................................................................ ..............39 2.4. Humean Events............................................................................................43 (...) 2.5. Moivrean Variables......................................................................................49 2.6. Humean Variables........................................................................................53 2.7. Event Trees for Stochastic Processes...........................................................54 2.8. Timing in Event Trees.................................................................................56 2.9. Intersecting Event Trees...............................................................................60 2.10. Notes on the Literature...............................................................................61 Chapter 3. Probability Trees...........................................................................................63 3.1. Some Types of Probability Trees.................................................................64 ii 3.2. Axioms for the Probabilities of Moivrean Events.......................................68 3.3. Zero Probabilities....................................................................................... ..70 3.4. A Sample-Space Analysis of the Event-Tree Axioms.................................72 3.5. Probabilities and Expected Values for Variables.........................................74 3.6. Martingales......................................................................................... .........79 3.7. The Expectation of a Variable in a Cut........................................................83 3.8. Conditional Expected Value and Conditional Expectation.........................87 Chapter 4. The Meaning of Probability...........................................................................91 4.1. The Interpretation of Expected Value..........................................................92 4.2. The Interpretation of Expectation................................................................95 4.3. The Long Run..............................................................................................98 4.4. Changes in Belief.........................................................................................101 4.5. The Empirical Validation of Probability......................................................106 4.6. The Diversity of Uses of Probability...........................................................108 4.7. Notes on the Literature.................................................................................110 Chapter 5. Independent Events.......................................................................................113 5.1. Independence........................................................................................ .......114 5.2. Weak Independence.....................................................................................118 5.3. The Principle of the Common Cause...........................................................121 5.4. Conditional Independence............................................................................128 5.5. Notes on the Literature.................................................................................133 Chapter 6. Events Tracking Events.................................................................................135 6.1. Tracking............................................................................................ ...........137 6.2. Tracking and Conditional Independence.....................................................142 6.3. Stochastic Subsequence...............................................................................143 6.4. Singular Diagrams for Stochastic Subsequence...........................................147 6.5. Conjunctive and Interactive Forks...............................................................149 Chapter 7. Events as Signs of Events..............................................................................153 iii 7.1. Sign................................................................................................ ..............154 7.2. Weak Sign................................................................................................ ....159 7.3. The Ethics of Causal Talk............................................................................160 7.4. Screening Off...............................................................................................16 2 Chapter 8. Independent Variables...................................................................................167 8.1. Unconditional Independence........................................................................170 8.2. Conditional Independence............................................................................175 8.3. Independence for Partitions.........................................................................177 8.4. Independence for Families of Variables......................................................182 8.5. Individual Properties of the Independence Relations...................................186 Chapter 9. Variables Tracking Variables........................................................................189 9.1. Tracking and Conditional Independence: A Summary...............................190 9.2. Strong Tracking............................................................................................ 192 9.3. Strong Tracking and Conditional Independence..........................................198 9.4. Stochastic Subsequence...............................................................................201 9.5. Functional Dependence................................................................................203 9.6. Tracking in Mean.........................................................................................204 9.7. Linear Tracking............................................................................................ 207 9.8. Tracking by Partitions..................................................................................210 9.9. Tracking by Families of Variables...............................................................212 Chapter 10. Variables as Signs of Variables...................................................................215 10.1. Sign................................................................................................ ............219 10.2. Linear Sign................................................................................................ .222 10.3. Scored Sign................................................................................................ 225 10.4. Families of Variables.................................................................................227 Chapter 11. AnTheory of Event Trees.............................................................229 11.1. Event Trees as Sets of Sets........................................................................230 11.2. Event Trees as Partially Ordered Sets........................................................232 iv 11.3. Regular Event Trees...................................................................................240 11.4. The Resolution of Moivrean Variables......................................................244 11.5. Humean Events and Variables...................................................................246 Chapter 12. Martingale Trees..........................................................................................247 12.1. Examples of Decision Trees......................................................................249 12.2. The Meaning of Probability in a Decision Tree.........................................253 12.3. Martingales......................................................................................... .......257 12.4. The Structure of Martingale Trees.............................................................261 12.5. Probability and Causality...........................................................................265 12.6. Lower and Upper Probability.....................................................................269 12.7. The Law of Large Numbers.......................................................................272 12.8. Notes on the Literature...............................................................................274 Chapter 13. Refining............................................................................................ ...........275 13.1. Examples of Refinement............................................................................277 13.2. A Constructive Definition of Finite Refinement.......................................281 13.3. Axioms for Refinement..............................................................................282 13.4. Lifting Moivrean Events and Variables.....................................................288 13.5. Refining Martingale Trees.........................................................................288 13.6. Grounding........................................................................................... .......294 Chapter 14. Principles of Causal Conjecture..................................................................299 14.1. The Diversity of Causal Explanation.........................................................302 14.2. The Mean Effect of the Happening of a Moivrean Event..........................305 14.3. The Effect of a Humean Variable..............................................................311 14.4. Attribution and Generality.........................................................................316 14.5. The Statistical Measurement of the Effect of a Cause...............................319 14.6. Measurement by Experiment.....................................................................320 14.7. Using Our Knowledge of How Things Work............................................322 v 14.8. Sampling Error...........................................................................................329 14.9. The Sampling Frame..................................................................................329 14.10. Notes on the Literature.............................................................................330 Chapter 15. Causal Models.............................................................................................3 31 15.1. The Causal Interpretation of Statistical Prediction....................................333 15.2. Generalizing to a Family of Exogenous Variables....................................337 15.3 Some Joint Causal Diagrams......................................................................339 15.4. Causal Path Diagrams................................................................................342 15.5. Causal Relevance Diagrams.......................................................................346 15.6. The Meaning of Latent Variables..............................................................352 15.7. Notes on the Literature...............................................................................357 Chapter 16. Representing Probability Trees...................................................................359 16.1. Three Graphical Representations...............................................................361 16.2. Skeletal Simplifications.............................................................................368 16.3. Martingale Trees in Type Theory...............................................................371 Appendix A. Huygens’s Probability Trees.....................................................................379 Huygens’s Manuscript in Translation..................................................................380 Appendix B. Some Elements of Graph Theory..............................................................385 B1. Undirected Graphs........................................................................................385 B2. Directed Graphs............................................................................................38 6 Appendix C. Some Elements of Order Theory...............................................................393 C1. Partial and Quasi Orderings.........................................................................393 C2. Singular and Joint Diagrams for Binary Relations.......................................394 C3. Lattices............................................................................................ .............395 C4. The Lattice of Partitions of a Set..................................................................396 Appendix D. The Sample-Space Framework for Probability.........................................399 D1. Probability Measures....................................................................................399 D2. Variables........................................................................................... ...........400 vi D3. Families of Variables...................................................................................401 D4. Expected Value............................................................................................402 D5. The Law of Large Numbers.........................................................................405 D6. Conditional Probability................................................................................406 D7. Conditional Expected Value........................................................................407 Appendix E. Prediction in Probability Spaces................................................................409 E1. Conditional Distribution...............................................................................411 E2. Regression on a Single Variable...................................................................412 E3. Regression on a Partition or a Family of Variables......................................415 E4. Linear Regression on a Single Variable.......................................................418 E5. Linear Regression on a Family of Variables................................................422 Appendix F. Sample-Space Concepts of Independence.................................................425 F1. Overview............................................................................................ ...........426 F2. Independence Proper.....................................................................................432 F3. Unpredictability in Mean..............................................................................434 F4. Simple Uncorrelatedness..............................................................................437 F5. Mixed Uncorrelatedness...............................................................................438 F6. Partial Uncorrelatedness...............................................................................440 F7. Independence for Partitions..........................................................................442 F8. Independence for Families of Variables.......................................................445 F9. The Basic Role of Uncorrelatedness.............................................................448 F10. Dawid’s Axioms.........................................................................................449 Appendix G. Prediction Diagrams..................................................................................453 G1. Path Diagrams............................................................................................ ..454 G2. Generalized Path Diagrams..........................................................................462 G3. Relevance Diagrams.....................................................................................466 G4. Bubbled Relevance Diagrams......................................................................475 Appendix H. Abstract Stochastic Processes...................................................................479 vii H1. Probability Conditionals and Probability Distributions...............................477 H2. Abstract Stochastic Processes......................................................................479 H3. Embedding Variables and Processes in a Sample Space.............................480 References.......................................................................................... ..............................491. (shrink)

This article analyzes business power in the context of noisy politics by comparing business involvement in two British referendum campaigns: one about membership in the European Communities in 1975, and the Brexit referendum about European Union membership in 2016. By exploring these two contexts, the article seeks to identify the conditions under which business elites can and cannot be effective in a context of noisy politics. Three key factors are identified as determinants of business influence during periods of noisy politics: (...) the incentives to get directly involved in noisy politics; the legitimacy of business involvement; and, finally, the capacity to act in a cohesive way. The article shows that these factors have changed substantially over the last four decades because of wider changes in the nature of capitalism, and their impact on business power in the United Kingdom and more generally is discussed. (shrink)

Conceived as a solution to clinical dilemmas, and now required by organizations for hospital accreditation, ethics committees have been subject only to small-scale studies. The wide use of ethics committees and the diverse roles they play compel study. In 1999 the University of Pennsylvania Ethics Committee Research Group (ECRG) completed the first national survey of the presence, composition, and activities of U.S. healthcare ethics committees (HECs). Ethics committees are relatively young, on average seven years in operation. Eighty-six percent of ethics (...) committees report that they play a role in ongoing clinical decision making through clinical ethics consultation. All are engaged in developing institutional clinical policy. Although 4.5% of HECs write policy on managed care, 50% of HEC chairs feel inadequately prepared to address managed care. The power and activity of ethics committees parallels the composition of those committees and the relationship of members to their institutions. The role of ethics committees across the nation in making policies about clinical care is greater than was known, and ethics committees will likely continue to play an important role in the debate and resolution of clinical cases and clinical policies. (shrink)

Fake news is a worrying phenomenon which is growing increasingly widespread, partly because of the ease with which it is disseminated online. Combating the spread of fake news requires a clear understanding of the nature of fake news. However, the use of the term in everyday language is heterogenous and has no fixed meaning. Despite increasing philosophical attention to the topic, there is no consensus on the correct definition of “fake news” within philosophy either. This paper aims to bring clarity (...) to the philosophical debate of fake news in two ways: Firstly, by providing an overview of existing philosophical definitions and secondly, by developing a new account of fake news. This paper will identify where there is agreement within the philosophical debate of definitions of “fake news” and isolate four key questions on which there is genuine disagreement. These concern the intentionality underlying fake news, its truth value, the question of whether fake news needs to reach a minimum audience, and the question of whether an account of fake news needs to be dynamic. By answering these four questions, I provide a novel account of defining “fake news”. This new definition hinges upon the fact that fake news has the function of being deliberately misleading about its own status as news. (shrink)

The sense of embodiment is vital for self recognition. An examination of anosognosia for hemiplegia—the inability to recognise that one is paralysed down one side of one’s body—suggests the existence of ‘online’ and ‘offline’ representations of the body. Online representations of the body are representations of the body as it is currently, are newly constructed moment by moment and are directly “plugged into” current perception of the body. In contrast, offline representations of the body are representations of what the body (...) is usually like, are relatively stable and are constructed from online representations. This distinction is supported by an analysis of phantom limb—the feeling that an amputated limb is still present—phenomena. Initially it seems that the sense of embodiment may arise from either of these types of representation; however, an integrated representation of the body seems to be required. It is suggested information from vision and emotions is involved in generating these representations. A lack of access to online representations of the body does not necessarily lead to a loss in the sense of embodiment. An integrated offline representation of the body could account for the sense of embodiment and perform the functions attributed to this sense. (shrink)

In this paper, I reinterpret the conflict between rewilders and those who want to preserve traditional agricultural landscapes. By showing that underlying both positions is a common outlook in which nature preservation can be described as a primarily interpretative act geared towards the preservation of meaning by establishing a successful contact with external reality, I hope to refocus the debate away from the current stalemate. Too often, the debate ends in a dispute about what counts as 'real nature'. By interpreting (...) nature preservation - whether it is directed at rewilding or at preserving old agricultural landscapes - as an act that is a response to nature's meanings, we will refocus attention on the real issue underlying preservation: articulating the ways nature is meaningful to us. (shrink)

Since the publication of Between Facts and Norms, Habermas’s concept of communicative power has been the topic of significant discussion. This article contributes to this conversation by examining Habermas’s account of what makes communication powerful. I argue that Habermas’s conception of communicative power describes a nonviolent and noninstrumental mode of acting and being with others in language. This mode of engagement underwrites a conception of power that is structurally different from willing, one that builds meaningful worlds and (trans-)forms those engaging (...) in communicative procedures. In drawing out this aspect of Habermas’s conception, I show that he is not a rationalist and proceduralist whose account of communicative procedures protects decision-making from irrational aesthetic powers. Rather, he presents communication as a mimetic achievement, a set of aesthetic practices and experiences that affectively alter its participants. With this position, Habermas makes an important contribution to and not just against the analysis of the aesthetic dimensions of political life. In casting communication as a mimetic achievement, Habermas presents an account of how communication opens worlds and forms subjects. Yet since these aspects of communication arrive in linguistic form, he can also examine affective and aesthetic experiences within discursive procedures. We can understand world-opening and aesthetic (trans-)formation as an essential part of democratic politics while also identifying the perspectives and resources by which actors can reflect on and critically evaluate whether an opinion is justified or whether a political project is worth pursuing. (shrink)

Infinity and the Brain proposes a logical and scientific way to resolve the paradox of mind and matter -- by explaining how the perception of a finite image is dependent upon the contrasting infinitude of God. The theory holds that awareness is equal to a tension between existence and nonexistence, such that the self is illuminated to itself (becomes conscious) to the exact measure that it anticipates the infinitude of its own nonexistence. This "anticipation" is actually a "tendency toward" a (...) loss of structure in accordance with the second law of thermodynamics, a process that is restrained by effort and the consequent wholesness of an image. An understanding of how effort is linked to an image and how both are dependent upon neural systems inseparable from "infinity anticipation" sets the stage for a new worldview -- in which mind is seen as dependent upon the immanence of an infinite God. And because "mind" can be defined by the presence of an image which intrinsically restrains disorder, we see by extrapolation that the entire universe must be fundamentally personal, not objective as currently viewed by modern science. Book jacket. (shrink)