There is public support in the United States and Europe for accounting for animal welfare in national policies on food and agriculture. Although an emerging body of research has measured animals’ capacity to suffer, there has been no specific attempt to analyze how this information is interpreted by the public or how exactly it should be reflected in policy. The aim of this study was to quantify Americans’ preferences about farming methods and the suffering they impose on different species to (...) generate a metric for weighing the trade-offs between different approaches of promoting animal welfare. A survey of 502 residents of the United States was implemented using the online platform Mechanical Turk. Using respondent data, we developed the species-adjusted measure of suffering-years, an analogue of the disability-adjusted life year, to calculate the suffering endured under different farming conditions by cattle, pigs, and chickens, the three most commonly consumed animals. Nearly one-third of respondents reported that they believed animal suffering should be taken into account to a degree equal to or above human suffering. The 2016 suffering burden in the United States according to two tested conditions was approximately 66 million SAMYs for pigs, 156 million SAMYs for cattle, and 1.3 billion SAMYs for chickens. This calculation lends early guidance for efforts to reduce animal suffering, demonstrating that to address the highest burden policymakers should focus first on improving conditions for chickens. (shrink)

Bayesian epistemology addresses epistemological problems with the help of the mathematical theory of probability. It turns out that the probability calculus is especially suited to represent degrees of belief (credences) and to deal with questions of belief change, confirmation, evidence, justification, and coherence. Compared to the informal discussions in traditional epistemology, Bayesian epis- temology allows for a more precise and fine-grained analysis which takes the gradual aspects of these central epistemological notions into account. Bayesian epistemology therefore complements traditional epistemology; it (...) does not re- place it or aim at replacing it. (shrink)

Science strives for coherence. For example, the findings from climate science form a highly coherent body of knowledge that is supported by many independent lines of evidence: greenhouse gas emissions from human economic activities are causing the global climate to warm and unless GHG emissions are drastically reduced in the near future, the risks from climate change will continue to grow and major adverse consequences will become unavoidable. People who oppose this scientific body of knowledge because the implications of cutting (...) GHG emissions—such as regulation or increased taxation—threaten their worldview or livelihood cannot provide an alternative view that is coherent by the standards of conventional scientific thinking. Instead, we suggest that people who reject the fact that the Earth’s climate is changing due to greenhouse gas emissions oppose whatever inconvenient finding they are confronting in piece-meal fashion, rather than systematically, and without considering the implications of this rejection to the rest of the relevant scientific theory and findings. Hence, claims that the globe “is cooling” can coexist with claims that the “observed warming is natural” and that “the human influence does not matter because warming is good for us.” Coherence between these mutually contradictory opinions can only be achieved at a highly abstract level, namely that “something must be wrong” with the scientific evidence in order to justify a political position against climate change mitigation. This high-level coherence accompanied by contradictory subordinate propositions is a known attribute of conspiracist ideation, and conspiracism may be implicated when people reject well-established scientific propositions. (shrink)

It is often claimed that the greatest value of the Bayesian framework in cognitive science consists in its unifying power. Several Bayesian cognitive scientists assume that unification is obviously linked to explanatory power. But this link is not obvious, as unification in science is a heterogeneous notion, which may have little to do with explanation. While a crucial feature of most adequate explanations in cognitive science is that they reveal aspects of the causal mechanism that produces the phenomenon to be (...) explained, the kind of unification afforded by the Bayesian framework to cognitive science does not necessarily reveal aspects of a mechanism. Bayesian unification, nonetheless, can place fruitful constraints on causal–mechanical explanation. 1 Introduction2 What a Great Many Phenomena Bayesian Decision Theory Can Model3 The Case of Information Integration4 How Do Bayesian Models Unify?5 Bayesian Unification: What Constraints Are There on Mechanistic Explanation?5.1 Unification constrains mechanism discovery5.2 Unification constrains the identification of relevant mechanistic factors5.3 Unification constrains confirmation of competitive mechanistic models6 ConclusionAppendix. (shrink)

Alongside science and law, argumentation is also of central importance in everyday life. But what characterizes a good argument? This question has occupied philosophers and psychologists for centuries. The theory of Bayesian argumentation is particularly suitable for clarifying it, because it allows us to take into account in a natural way the role of uncertainty, which is central to much argumentation. Moreover, it offers the possibility of measuring the strength of an argument in probabilistic terms. One way to do this, (...) implicit in much work, is to identify the strength of an argument with the degree to which the premises of the argument confirm the conclusion. We criticize this prima facie plausible proposal and suggest instead that the strength of an argument has something to do with how much the premises and the conclusion of the argument cohere with each other. This leads to a new probabilistic measure whose properties we examine in more detail. (shrink)

There has been much concern with the abundance of misinformation in public discourse. Although misinformation has always played a role in political debate, its character has shifted from support fo...

Coherence considerations play an important role in science and in everyday reasoning. However, it is unclear what exactly is meant by coherence of information and why we prefer more coherent information over less coherent information. To answer these questions, we first explore how to explicate the dazzling notion of ``coherence'' and how to measure the coherence of an information set. To do so, we critique prima facie plausible proposals that incorporate normative principles such as ``Agreement'' or ``Dependence'' and then argue (...) that the coherence of an information set is best understood as an indicator of the truth of the set under certain conditions. Using computer simulations, we then show that a new probabilistic measure of coherence that combines aspects of the two principles above, but without strictly satisfying either principle, performs particularly well in this regard. (shrink)

The view known as animalism asserts that we are human animals—that each of us is an instance of the Homo sapiens species. The standard argument for this view is known as the thinking animal argument . But this argument has recently come under attack. So, here, a new argument for animalism is introduced. The animal ancestors argument illustrates how the case for animalism can be seen to piggyback on the credibility of evolutionary theory. Two objections are then considered and answered.

Analytic philosophy is once again in a methodological frame of mind. Nowhere is this more evident than in metaphysics, whose practitioners and historians are actively reflecting on the nature of ontological questions, the status of their answers, and the relevance of contributions both from other areas within philosophy and beyond. Such reflections are hardly new: the debate between Willard van Orman Quine and Rudolf Carnap about how to understand and resolve ontological questions is widely seen as a turning point in (...) twentieth-century analytic philosophy. And indeed, this volume is occasioned by the fact that the deflationary approach to metaphysics advocated by Carnap in that debate is once again attracting considerable interest and support. Eleven original essays by many of today's leading voices in metametaphysics aim to deepen our understanding of Carnap's contributions to metaontology and to explore how this legacy might be mined for insights into the contemporary debate. (shrink)

Bayes nets are a powerful tool for researchers in statistics and artificial intelligence. This chapter demonstrates that they are also of much use for philosophers and psychologists interested in (Bayesian) rationality. To do so, we outline the general methodology of Bayes nets modeling in rationality research and illustrate it with several examples from the philosophy and psychology of reasoning and argumentation. Along the way, we discuss the normative foundations of Bayes nets modeling and address some of the methodological problems it (...) raises. (shrink)

This entry sketches the theory of personal identity that has come to be known as animalism. Animalism’s hallmark claim is that each of us is identical with a human animal. Moreover, animalists typically claim that we could not exist except as animals, and that the (biological) conditions of our persistence derive from our status as animals. Prominent advocates of this view include Michael Ayers, Eric Olson, Paul Snowdon, Peter van Inwagen, and David Wiggins.

Nancy Cartwright is one of the most distinguished and influential contemporary philosophers of science. Despite the profound impact of her work, there is neither a systematic exposition of Cartwright’s philosophy of science nor a collection of articles that contains in-depth discussions of the major themes of her philosophy. This book is devoted to a critical assessment of Cartwright’s philosophy of science and contains contributions from Cartwright's champions and critics. Broken into three parts, the book begins by addressing Cartwright's views on (...) the practice of model building in science and the question of how models represent the world before moving on to a detailed discussion of methodologically and metaphysically challenging problems. Finally, the book addresses Cartwright's original attempts to clarify profound questions concerning the metaphysics of science. With contributions from leading scholars, such as Ronald N. Giere and Paul Teller, this unique volume will be extremely useful to philosophers of science the world over. (shrink)

Determining the knowledge that guides human judgments is fundamental to understanding how people reason, make decisions, and form predictions. We use an experimental procedure called ‘‘iterated learning,’’ in which the responses that people give on one trial are used to generate the data they see on the next, to pinpoint the knowledge that informs people's predictions about everyday events (e.g., predicting the total box office gross of a movie from its current take). In particular, we use this method to discriminate (...) between two models of human judgments: a simple Bayesian model (Griffiths & Tenenbaum, 2006) and a recently proposed alternative model that assumes people store only a few instances of each type of event in memory (MinK; Mozer, Pashler, & Homaei, 2008). Although testing these models using standard experimental procedures is difficult due to differences in the number of free parameters and the need to make assumptions about the knowledge of individual learners, we show that the two models make very different predictions about the outcome of iterated learning. The results of an experiment using this methodology provide a rich picture of how much people know about the distributions of everyday quantities, and they are inconsistent with the predictions of the MinK model. The results suggest that accurate predictions about everyday events reflect relatively sophisticated knowledge on the part of individuals. (shrink)

A large body of work has demonstrated the utility of the Bayesian framework for capturing inference in both specialist and everyday contexts. However, the central tool of the framework, conditionalization via Bayes’ rule, does not apply directly to a common type of learning: the acquisition of conditional information. How should an agent change her beliefs on learning that “If A, then C”? This issue, which is central to both reasoning and argumentation, has recently prompted considerable research interest. In this paper, (...) we critique a prominent proposal and provide a new, alternative, answer. -/- . (shrink)

Effective field theories have been a very popular tool in quantum physics for almost two decades. And there are good reasons for this. I will argue that effective field theories share many of the advantages of both fundamental theories and phenomenological models, while avoiding their respective shortcomings. They are, for example, flexible enough to cover a wide range of phenomena, and concrete enough to provide a detailed story of the specific mechanisms at work at a given energy scale. So will (...) all of physics eventually converge on effective field theories? This paper argues that good scientific research can be characterised by a fruitful interaction between fundamental theories, phenomenological models and effective field theories. All of them have their appropriate functions in the research process, and all of them are indispensable. They complement each other and hang together in a coherent way which I shall characterise in some detail. To illustrate all this I will present a case study from nuclear and particle physics. The resulting view about scientific theorising is inherently pluralistic, and has implications for the debates about reductionism and scientific explanation. (shrink)

The rare condition known as dicephalus occurs when (prior to implantation) a zygote fails to divide completely, resulting in twins who are conjoined below the neck. Human dicephalic twins look like a two-headed person, with each brain supporting a distinct mental life. Jeff McMahan has recently argued that, because they instance two of us but only one animal, dicephalic twins provide a counterexample to the animalist's claim that each of us is identical with a human animal. To the contrary, I (...) argue that in cases of dicephalus it is obvious neither that there is one animal nor that there are two of us. Consequently, the animalist criterion does not straightforwardly apply to cases of dicephalus. I defend an account of dicephalus that is both sensitive to the complexity of twinning phenomena and not inconsistent with animalism. In my view, dicephalic twins are a borderline case of the concept HUMAN ANIMAL. I conclude with some speculative remarks concerning the normative import (if any) of my claim that dicephalic twins are a borderline case. (shrink)

The authors challenge the reigning “causal power framework” as an explanation for whether a particular outcome was actually caused by a specific potential cause. They test a new measure of causal attribution in two experiments by embedding the measure within the Structure Induction model of Singular Causation (SISC, Stephan & Waldmann, 2016).

In this discussion note, we explain how to relax some of the standard assumptions made in Garber-style solutions to the Problem of Old Evidence. The result is a more general and explanatory Bayesian approach.

François Jullien’s idea of landscape in Chinese philosophy and art is taken from the refinement of highly literate writers and artists, unrelated to the techniques of location that find good sites and make places in landscape. This article is based on a study of fengshui (Chinese geomancy). It argues that fengshui is a practice of identifying not things or beings but moments and circumstances of a client. It works with an epistemology of pattern recognition, which is based on observation and (...) experience but does not test the truth of the signs that are the means of recognizing patterns. This epistemology of pattern recognition is not peculiarly Chinese but can also be found in building, urban planning, and the art of medical diagnosis. (shrink)

A central question for psychologists, economists, and philosophers is how human lives should be valued. Whereas egalitarian considerations give rise to models emphasizing that every life should be valued equally, empirical research has demonstrated that valuations of lives depend on a variety of factors that often do not conform to specific normative expectations. Such factors include emotional reactions to the victims and cognitive considerations leading to biased perceptions of lives at risk (e.g., attention, mental imagery, pseudo-inefficacy, and scope neglect). They (...) can lead to a valuation function with decreasing marginal value and sometimes even decreasing absolute value as the number of victims increases. As a result, people spend more money to save an individual while at the same time being insensitive and apathetic to large losses of life, despite endorsing egalitarian norms. In this conceptual paper, we propose a descriptive model highlighting the role of different motivations and the conditions under which cognitions and emotions result in deviations from egalitarian normative valuations of human lives. (shrink)

Many historians of philosophy, with all their intended praise, let the philosophers speak mere nonsense. They do not guess the purpose of the philosophers.… They cannot see beyond what the philosophers actually said, to what they really meant to say.Mou Zongsan (1909–1995) is one of the key figures of contemporary New Confucianism (當代新儒家) who to this day remains largely unknown and grossly understudied in the West.1 This neglect by the Western academy contrasts sharply with the ever-growing output of literature by (...) Chinese and Taiwanese scholars in which Mou Zongsan emerges as one of the most discussed and most controversial Chinese philosophers of the twentieth century. Given this unfortunate East-West divide—as .. (shrink)

The aggregation of consistent individual judgments on logically interconnected propositions into a collective judgment on those propositions has recently drawn much attention. Seemingly reasonable aggregation procedures, such as propositionwise majority voting, cannot ensure an equally consistent collective conclusion. The literature on judgment aggregation refers to that problem as the discursive dilemma. In this paper, we motivate that many groups do not only want to reach a factually right conclusion, but also want to correctly evaluate the reasons for that conclusion. In (...) other words, we address the problem of tracking the true situation instead of merely selecting the right outcome. We set up a probabilistic model analogous to Bovens and Rabinowicz (2006) and compare several aggregation procedures by means of theoretical results, numerical simulations and practical considerations. Among them are the premise-based, the situation-based and the distance-based procedure. Our findings confirm the conjecture in Hartmann, Pigozzi and Sprenger (2008) that the premise-based procedure is a crude, but reliable and sometimes even optimal form of judgment aggregation. (shrink)

Discussions about a replicability crisis in science have been driven by the normative claim that all of science should be replicable and the empirical claim that most of it isn’t. Recently, such crisis talk has been challenged by a new localism, which argues a) that serious problems with replicability are not a general occurrence in science and b) that replicability itself should not be treated as a universal standard. The goal of this article is to introduce this emerging strand of (...) the debate and to discuss some of its implications and limitations. I will in particular highlight the issue of demarcation that localist accounts have to address, i.e. the question of how we can distinguish replicable science from disciplines where replicability does not apply. (shrink)

The 11 articles in this issue explore how people respond to climate change and other global challenges. The articles pursue three broad strands of enquiry that relate to the effects and causes of “skepticism” about climate change, the purely cognitive challenges that are posed by a complex scientific issue, and the ways in which climate change can be communicated to a wider audience. Cognitive science can contribute to understanding people's responses to global challenges in many ways, and it may also (...) contribute to implementing solutions to those problems. (shrink)

Causal queries about singular cases, which inquire whether specific events were causally connected, are prevalent in daily life and important in professional disciplines such as the law, medicine, or engineering. Because causal links cannot be directly observed, singular causation judgments require an assessment of whether a co‐occurrence of two events c and e was causal or simply coincidental. How can this decision be made? Building on previous work by Cheng and Novick (2005) and Stephan and Waldmann (2018), we propose (...) a computational model that combines information about the causal strengths of the potential causes with information about their temporal relations to derive answers to singular causation queries. The relative causal strengths of the potential cause factors are relevant because weak causes are more likely to fail to generate effects than strong causes. But even a strong cause factor does not necessarily need to be causal in a singular case because it could have been preempted by an alternative cause. We here show how information about causal strength and about two different temporal parameters, the potential causes' onset times and their causal latencies, can be formalized and integrated into a computational account of singular causation. Four experiments are presented in which we tested the validity of the model. The results showed that people integrate the different types of information as predicted by the new model. (shrink)

Special issue. With contributions by Anouk Barberouse, Sarah Francescelli and Cyrille Imbert, Robert Batterman, Roman Frigg and Julian Reiss, Axel Gelfert, Till Grüne-Yanoff, Paul Humphreys, James Mattingly and Walter Warwick, Matthew Parker, Wendy Parker, Dirk Schlimm, and Eric Winsberg.

By reconstructing the teleological conceptions of Thomas Aquinas, Suarez, Descartes, Spinoza, and Leibniz, the author argues against the common view that mechanical philosophers in the Early Modern Period rejected natural teleology because of its association with an Aristotelian picture of the world. First, many thinkers in the Early Modern Period did not reject teleological explanations for natural phenomena. Second, many scholastic thinkers already believed that pure natural teleology was problematic because they held that authentic teleological explanations are only possible when (...) goals can be recognized.". (shrink)

Gottfried Wilhelm Leibniz war der vielleicht letzte europäische Denker, der das Wissen und den gelehrten Diskurs seiner Zeit noch überblicken konnte. Dabei leitete ihn die Überzeugung, dass die Wahrheit erst in der Pluralität der Perspektiven erfahrbar werde. Dieses ebenso spannungsreiche wie produktive Verhältnis von Einheit und Pluralität erkunden die Autoren der Beiträge auf drei im Leibnizschen Werk eng miteinander verbundenen Gebieten: der Philosophie, der Theologie und dem politischen Denken. Ausgehend von den philosophischen Grundlagen wird die Theologie in Leibniz' Gesamtkonzept der (...) Wissenschaften und besonders angesichts seiner Auseinandersetzung mit der religiösen Pluralität untersucht, seine Bemühungen um die Vereinigung der christlichen Konfessionen und sein Interesse für fremde Religionen und Kulturen. Sein politisches Denken und seine politische Tätigkeit bilden den Prüfstein für die angestrebte Verbindung von Theorie und Praxis. Ein abschließender Blick gilt seiner Rezeption auf diesen Gebieten. Ein Merkmal mehrerer Beiträge ist die präzise Arbeit an Texten zu China, zur Auseinandersetzung mit Thomasius und zum ökumenischen Gespräch, die erst seit kurzem oder noch gar nicht in einer kritischen Edition vorliegen. Mit Beiträgen von: Luca Basso, Friedrich Beiderbeck, Daniel J. Cook, Nora Gädeke, Ursula Goldenbaum, Wenchao Li, Rüdiger Otto, Hans Poser, Patrick Riley, Jaime de Salas, Brigitte Saouma, Heinrich Schepers, Martin Schneider, Lloyd Strickland und Stephan Waldhoff. (shrink)

Anthropology of Consciousness, Volume 32, Issue 2, Page 129-153, Autumn 2021.

This paper explores various functions of idealizations in quantum field theory. To this end it is important to first distinguish between different kinds of theories and models of or inspired by quantum field theory. Idealizations have pragmatic and cognitive functions. Analyzing a case-study from hadron physics, I demonstrate the virtues of studying highly idealized models for exploring the features of theories with an extremely rich structure such as quantum field theory and for gaining some understanding of the physical processes in (...) the system under consideration. (shrink)

Since the 1860s, petroleum companies, through their influence on local governments, port authorities, international actors and the general public gradually became more dominant in shaping the urban form of ports and cities. Under their development and pressure, the relationships between industrial and urban areas in port cities hosting oil facilities evolved in time. The borders limiting industrial and housing territories have continuously changed with industrial places moving progressively away from urban areas. Such a changing dynamic influenced the permeability of these (...) borders. Port cities are nodes and logistic points where various flows of commodities, wealth, and knowledge gathered before further re‐distribution. These flows affected port cities by changing their spatial organization and the availabiity of space between borders. The main question here is: How did industrial and urban borders evolve through time in port cities? Through a historical analysis, the article explores the settlements of oil facilities and the influence of oil companies over local, regional, and national governments in creating borders and how it influenced the porosity of port cities. This article, through the petroleum narrative, illustrates the impacts of past borders on the contemporary urban form through the evolution of the French port city of Dunkirk, in the North of France. As a historical study, the article analyzes the changing relationships between petroleum industrial sites and housing areas in the city of Dunkirk, using aerial pictures, archival sources, and regulations of different periods. The importance of this analysis lies in knowing that former oil sites previously located on the periphery of Dunkirk, that were forgotten by the authorities are now located within the current urban tissue. This process demonstrates the importance of historical developments to understand current challenges in the urban planning of industrial port cities. (shrink)

Focusing on diverse aspects of Wittgenstein's philosophy, this volume not only provides a valuable introduction, but also investigates connections between the philosophy of Wittgenstein, other philosophers--in particular, Frege, Frazer, Carnap, and Strawson--and philosophical trends. It also illuminates very different aspects of Wittgenstein's thought, probing into the controversies it stimulates, as well as into its influence.

This paper is an essay review of Steven French and Harmke Kamminga (eds.), Correspondence, Invariance and Heuristics. Essays in Honour of Heinz Post (Dordrecht: Kluwer, 1993). I distinguish a varity of correspondence relations between scientific theories (exemplified by cases from the book under review) and examine how one can make sense of the the prevailing continuity in scientific theorizing.

Previous research associates free will skepticism with adverse well-being effects. However, it is doubtful that skeptical participants in these studies disbelieved in the incompatibilist notion of what it means to have free will. This is one of the first studies to exclusively examine such skeptics. A sample of 167 participants who claimed to believe that there is no free will responded to an online survey. After examining whether participants in fact disbelieved in the incompatibilist concept, they were asked to describe (...) how their skepticism is affecting their personal life and well-being. Reoccurring themes were identified through thematic analysis. Positive consequences were most commonly reported, including increased compassion for others and oneself, being less controlling and more relaxed, as well as having more control through environmental awareness. Other participants felt unaffected by their disbelief and most frequently mentioned the persisting feeling of having free will as a reason. The most common negative implications were to feel less effective as an agent and to miss a sense of purpose. These findings may shed new light on how to handle the issue of free will in the public sphere as well as inform future research investigating incompatibilist free will skepticism. (shrink)

Conditionals and conditional reasoning have been a long-standing focus of research across a number of disciplines, ranging from psychology through linguistics to philosophy. But almost no work has concerned itself with the question of how hearing or reading a conditional changes our beliefs. Given that we acquire much—perhaps most—of what we believe through the testimony of others, the simple matter of acquiring conditionals via others’ assertion of a conditional seems integral to any full understanding of the conditional and conditional reasoning. (...) In this paper we detail a number of basic intuitions about how beliefs might change in response to a conditional being uttered, and show how these are backed by behavioral data. In the remainder of the paper, we then show how these deceptively simple phenomena pose a fundamental challenge to present theoretical accounts of the conditional and conditional reasoning – a challenge which no account presently fully meets. (shrink)

The technique of imaging was first introduced by Lewis, in order to provide a novel account of the probability of conditional propositions. In the intervening years, imaging has been the object of significant interest in both AI and philosophy, and has come to be seen as a philosophically important approach to probabilistic updating and belief revision. In this paper, we consider the possibility of generalising imaging to deal with uncertain evidence and partial belief revision. In particular, we introduce a new (...) logical criterion that any update rule should satisfy, and use it to evaluate a range of different approaches to generalising imaging to situations involving uncertain evidence. We show that none of the currently prevalent approaches to imaging allow for such a generalisation, although a lesser known version of imaging, introduced by Joyce, can be generalised in a way that mitigates these problems. (shrink)

In 2015 scientists called for a partial ban on genome editing in human germline cells. This call was a response to the rapid development of the CRISPR–Cas9 system, a molecular tool that allows researchers to modify genomic DNA in living organisms with high precision and ease of use. Importantly, the ban was meant to be a trust-building exercise that promises a ‘prudent’ way forward. The goal of this paper is to analyse whether the ban can deliver on this promise. To (...) do so the focus will be put on the precedent on which the current ban is modelled, namely the Asilomar ban on recombinant DNA technology. The analysis of this case will show (a) that the Asilomar ban was successful because of a specific two-step containment strategy it employed and (b) that this two-step approach is also key to making the current ban work. It will be argued, however, that the Asilomar strategy cannot be transferred to human genome editing and that the current ban therefore fails to deliver on its promise. The paper will close with a reflection on the reasons for this failure and on what can be learned from it about the regulation of novel molecular tools. (shrink)

China has many religions. But rituals of local temples are none of these. They celebrate many gods and their powers to respond. Gods are invited as welcome guests by appropriate rituals of welcome and communication. Other rituals pacify ghosts and harmful powers. These rituals are rich with their own poetry, a poetry of performance, not just of contemplation. Interpreting this poetry demands revision of theories of ritual and religion. The author has spent over four decades studying Chinese ritual and religion (...) through observation in contemporary China and Taiwan, constantly revising and rethinking theories of religion, ritual and their role in different political regimes.". (shrink)