Proponents of moral enhancement believe that we should pursue and apply biotechnological means to morally enhance human beings, as failing to do so is likely to lead to humanity's demise. Unsurprisingly, these proposals have generated a substantial amount of debate about the moral permissibility of using such interventions. Here I put aside concerns about the permissibility of moral enhancement and focus on the conceptual and evidentiary grounds for the moral enhancement project. I argue that such grounds are quite precarious.

The deep crisis in modern fundamental science development is ever more evident and openly recognised now even by mainstream, official science professionals and leaders. By no coincidence, it occurs in parallel to the world civilisation crisis and related global change processes, where the true power of unreduced scientific knowledge is just badly missing as the indispensable and unique tool for the emerging greater problem solution and further progress at a superior level of complex world dynamics. Here we reveal the mathematically (...) exact reason for the crisis in conventional science, containing also the natural and unified problem solution in the form of well-specified extension of usual, artificially restricted paradigm. We show how that extended, now causally complete science content provides various "unsolvable" problem solutions and opens new development possibilities for both science and society, where the former plays the role of the main, direct driver for the latter. We outline the related qualitative changes in science organisation, practice and purposes, giving rise to the sustainability transition in the entire civilisation dynamics towards the well-specified superior level of its unreduced, now well understood and universally defined complexity. (shrink)

This chapter describes the potential far‐reaching consequences of contemplative higher education for the fields of science and medicine.

In their recent book, Oreskes and Conway describe the ‘tobacco strategy’, which was used by the tobacco industry to influence policymakers regarding the health risks of tobacco products. The strategy involved two parts, consisting of promoting and sharing independent research supporting the industry’s preferred position and funding additional research, but selectively publishing the results. We introduce a model of the tobacco strategy, and use it to argue that both prongs of the strategy can be extremely effective—even when policymakers rationally update (...) on all evidence available to them. As we elaborate, this model helps illustrate the conditions under which the tobacco strategy is particularly successful. In addition, we show how journalists engaged in ‘fair’ reporting can inadvertently mimic the effects of industry on public belief. 1Introduction2Epistemic Network Models3Selective Sharing4Biased Production5Journalists as Unwitting Propagandists6ConclusionAppendix. (shrink)

Philosophy of science is expanding via the introduction of new digital data and tools for their analysis. The data comprise digitized published books and journal articles, as well as heretofore unpublished material such as images, archival text, notebooks, meeting notes, and programs. The growth in available data is matched by the extensive development of automated analysis tools. The variety of data sources and tools can be overwhelming. In this article, we survey the state of digital work in the philosophy of (...) science, showing what kinds of questions can be answered and how one can go about answering them. (shrink)

ABSTRACTPossibly, the replication crisis constitutes the most important problem in psychology. It calls into question whether psychology is a science. Existing conceptualizations of replicability depend on effect sizes; the larger the population effect size, the greater the probability of replication. This is problematic and contributes to the replication crisis. A different conceptualization, not dependent on population effect sizes, is desirable. The proposed solution features the closeness of sample means to their corresponding population means, in both the original and replication experiments. (...) If the researcher has specified the sampling precision desired, it is possible to calculate the probability of replication, prior to data collection, and without dependence on the population effect size or expected population effect size. In addition, it is not necessary to know population means or standard deviations, nor sample means or standard deviations, to employ the proposed a priori way of thinking about... (shrink)

In a recent editorial published in Nature, the journal's editors comment on a new automated software that has been used to check findings in psychology publications. The editors express concern with the way in which the anonymous fact-checkers have proceeded, but at the same time, they underscore the crucial role of peer criticism for scientific progress and insist: "self-correction is at the heart of science." Brief as it is, the editorial showcases that peer criticism and the application of norms of (...) good research practice are very thorny issues indeed.It is essential for the functioning of science that empirical findings, arguments, as well as methodological approaches are scrutinized... (shrink)

Leading animal models are powerful tools for translational research, but they also present obstacles. Poorly conducted preclinical research in animals is a common cause of translational failure, but even when such research is well-designed and carefully executed, challenges remain. In particular, dominant models may bias research directions, elide essential aspects of human disease, omit important context, or subtly shift research targets. Recognizing these stumbling blocks can help us find ways to avoid them: employing a wider range of models, incorporating more (...) realistic environmental conditions, better aligning studies between animals and patients, and focusing on human biology and therapeutic goals. Such changes are costly; but insisting it would be impractical or unrealistic to change strategies offers no way out of the current impasse. Rather, we must acknowledge the obstacles as well as the advantages presented by core models, and direct some of our investments in translational research toward getting around them. The dominance of biomedical research by a handful of animal models introduces subtle but significant obstacles to translation. Recognizing these obstacles is a critical first step toward finding ways around them; this paper describes how dominant models can create roadblocks, and suggests strategies to improve the efficiency of translation from animal models to humans. (shrink)

[ES] Este trabajo, realiza una sumarísima revisión histórica, a través de algunas conjeturas epistemológicas, sobre las reflexiones filosóficas acerca del mundo del arte, su estatuto, desarrollo y «funcionamiento» con el propósito de allanar el camino para una ulterior descripción de la problemática acerca de la noción del mundo del arte. [EN] This writing makes a brief historical review, through some epistemological assumptions, on the philosophical reflections on the art world, its status, development and «functioning» in order to pave the way (...) for a further description of the problems about the notion of the art world. (shrink)

Advocates of the self-corrective thesis argue that scientific method will refute false theories and find closer approximations to the truth in the long run. I discuss a contemporary interpretation of this thesis in terms of frequentist statistics in the context of the behavioral sciences. First, I identify experimental replications and systematic aggregation of evidence (meta-analysis) as the self-corrective mechanism. Then, I present a computer simulation study of scientific communities that implement this mechanism to argue that frequentist statistics may converge upon (...) a correct estimate or not depending on the social structure of the community that uses it. Based on this study, I argue that methodological explanations of the “replicability crisis” in psychology are limited and propose an alternative explanation in terms of biases. Finally, I conclude suggesting that scientific self-correction should be understood as an interaction effect between inference methods and social structures. (shrink)

The aim of the article is to propose a way to determine to what extent a hypothesis H is confirmed if it has successfully passed a classical significance test. Bayesians have already raised many serious objections against significance testing, but in doing so they have always had to rely on epistemic probabilities and a further Bayesian analysis, which are rejected by classical statisticians. Therefore, I will suggest a purely frequentist evaluation procedure for significance tests that should also be accepted by (...) a classical statistician. This procedure likewise indicates some additional problems of significance tests. In some situations, such tests offer only a weak incremental support of a hypothesis, although an absolute confirmation is necessary, and they overestimate positive results for small effects, since the confirmation of H is often rather marginal in these cases. In specific cases, for example, in cases of ESP-hypotheses, such as precognition, this phenomenon leads too easily to a significant confirmation and can be regarded as a form of the probabilistic falsification fallacy. (shrink)

Kyle Stanford claims we have historical evidence that there likely are plausible unconceived alternatives in fundamental domains of science, and thus evidence that our best theories in these domains are probably false. Accordingly, we should adopt a form of instrumentalism. Elsewhere, I have argued that in fact we do not have historical evidence for the existence of plausible unconceived alternatives in particular domains of science, and that the main challenge to scientific realism is rather to provide evidence that there are (...) likely not plausible unconceived alternatives. In the present paper, I contend that we may come to have such evidence in the long run of science. I then investigate the epistemic consequences of the claim that we presently do not have evidence for or against the existence of plausible unconceived alternatives, but that in the future we may come to have evidence against the existence of plausible unconceived alternatives. I argue there are prima facie reasons to endorse a form of voluntarism in this situation according to which scientists and others may rationally be more optimistic or more pessimistic about the truth of our best theories, on the grounds that the widespread acceptance of an obligation to be an instrumentalist threatens to disrupt the proper functioning of science, in part because the domain of application of the problem of unconceived alternatives is unclear. (shrink)

Cognitive scientists have revealed systematic errors in human reasoning. There is disagreement about what these errors indicate about human rationality, but one upshot seems clear: human reasoning does not seem to fit traditional views of human rationality. This concern about rationality has made its way through various fields and has recently caught the attention of philosophers. The concern is that if philosophers are prone to systematic errors in reasoning, then the integrity of philosophy would be threatened. In this paper, I (...) present some of the more famous work in cognitive science that has marshaled this concern. Then I present reasons to think that those with training in philosophy will be less prone to certain systematic errors in reasoning. The suggestion is that if philosophers could be shown to be less prone to such errors, then the worries about the integrity of philosophy could be constrained. Then I present evidence that, according to performance on the CRT (Frederick 2005), those who have benefited from training and selection in philosophy are indeed less prone to one kind of systematic error: irrationally arbitrating between intuitive and reflective responses. Nonetheless, philosophers are not entirely immune to this systematic error, and their proclivity for this error is statistically related to their responses to a variety of philosophical questions. So, while the evidence herein puts constraints on the worries about the integrity of philosophy, it by no means eliminates these worries. The conclusion, then, is that the present evidence offers prima facie reasons to ascribe a mitigated privilege to philosophers' ability to rationally arbitrate between intuitive and reflective responses. (shrink)

Researchers increasingly rely on large data sets of health information, often linked with biological specimens. In recent years, the argument has been made that obtaining informed consent for conducting records-based research is unduly burdensome and results in ?consent bias.? As a type of selection bias, consent bias is said to exist when the group giving researchers access to their data differs from the group denying access. Therefore, to promote socially beneficial research, it is argued that consent should be unnecessary. After (...) analyzing the biostatistics evidence and bioethics arguments, the article concludes that (1) claims about the amount of consent bias are overstated; (2) commonly used statistical methods usually can account for consent bias; and (3) any residual effects of consent bias are below an acceptable level of imprecision and constitute a reasonable social cost for conducting ethically responsible research. (shrink)

Research on bias in peer review examines scholarly communication and funding processes to assess the epistemic and social legitimacy of the mechanisms by which knowledge communities vet and self-regulate their work. Despite vocal concerns, a closer look at the empirical and methodological limitations of research on bias raises questions about the existence and extent of many hypothesized forms of bias. In addition, the notion of bias is predicated on an implicit ideal that, once articulated, raises questions about the normative implications (...) of research on bias in peer review. This review provides a brief description of the function, history, and scope of peer review; articulates and critiques the conception of bias unifying research on bias in peer review; characterizes and examines the empirical, methodological, and normative claims of bias in peer review research; and assesses possible alternatives to the status quo. We close by identifying ways to expand conceptions and studies of bias to countenance the complexity of social interactions among actors involved directly and indirectly in peer review. (shrink)

Critically growing problems of fundamental science organisation and content are analysed with examples from physics and emerging interdisciplinary fields. Their origin is specified and new science structure (organisation and content) is proposed as a unified solution.

Fairness in machine learning (ML) is an ever-growing field of research due to the manifold potential for harm from algorithmic discrimination. To prevent such harm, a large body of literature develops new approaches to quantify fairness. Here, we investigate how one can divert the quantification of fairness by describing a practice we call “fairness hacking” for the purpose of shrouding unfairness in algorithms. This impacts end-users who rely on learning algorithms, as well as the broader community interested in fair AI (...) practices. We introduce two different categories of fairness hacking in reference to the established concept of p-hacking. The first category, intra-metric fairness hacking, describes the misuse of a particular metric by adding or removing sensitive attributes from the analysis. In this context, countermeasures that have been developed to prevent or reduce p-hacking can be applied to similarly prevent or reduce fairness hacking. The second category of fairness hacking is inter-metric fairness hacking. Inter-metric fairness hacking is the search for a specific fair metric with given attributes. We argue that countermeasures to prevent or reduce inter-metric fairness hacking are still in their infancy. Finally, we demonstrate both types of fairness hacking using real datasets. Our paper intends to serve as a guidance for discussions within the fair ML community to prevent or reduce the misuse of fairness metrics, and thus reduce overall harm from ML applications. (shrink)

Populists are often cast as deniers of rationality, creators of a climate of “post-truth,” and valuing tribe over truth and the rigors of science. Their critics claim the authority of rationality and empirical facts. Yet the critics no less than populists enable an environment of spurious claims and defective argumentation. This is especially true in the realm of science. An important case study is the account of scientific trust offered by a leading public intellectual and historian of science, Naomi Oreskes, (...) and the misapplication of that theory during the coronavirus pandemic. (shrink)

One of the critical issues in the philosophy of science is to understand scientific knowledge. This paper proposes a novel approach to the study of reflection on science, called “cognitive metascience”. In particular, it offers a new understanding of scientific knowledge as constituted by various kinds of scientific representations, framed as cognitive artifacts. It introduces a novel functional taxonomy of cognitive artifacts prevalent in scientific practice, covering a huge diversity of their formats, vehicles, and functions. As a consequence, toolboxes, conceptual (...) frameworks, theories, models, and individual hypotheses can be understood as artifacts supporting our cognitive performance. It is also shown that by empirically studying how artifacts function, we may discover hitherto undiscussed virtues and vices of these scientific representations. This paper relies on the use of language technology to analyze scientific discourse empirically, which allows us to uncover the metascientific views of researchers. This, in turn, can become part of normative considerations concerning virtues and vices of cognitive artifacts. (shrink)

Recent reports and papers on chimeric research highlight the promise of chimeric models of human neuropsychiatric disorders to ameliorate human suffering due to autism spectrum disorders, depression, and schizophrenia. These calls, however, typically do not acknowledge, much less address, criticisms of model creation and validation, or concerns about scientific conduct more generally. The ethical justification for the use of nonhuman animals in research depends on the production of benefits to humans based on such research. But the assessment and production of (...) benefits are highly uncertain and rife with both practical and conceptual challenges. This essay provides a general framework for classifying the benefits of biomedical research and then focuses on two factors that directly impact—and threaten—the production of knowledge in research that models neuropsychiatric disorders. (shrink)

Scientists often respond to failures to replicate by citing differences between the experimental components of an original study and those of its attempted replication. In this paper, we investigate these purported mismatch explanations. We assess a body of failures to replicate in neuroscience studies on spinal cord injury. We argue that a defensible mismatch explanation is one where a mismatch of components is a difference maker for a mismatch of outcomes, and the components are relevantly different in the follow-up study, (...) given the scope of the original study. With this account, we argue that not all differences between studies are meaningful, even if they are difference makers. As our examples show, focusing only on these differences results in disregarding the representativeness of the original experiment’s components and the scope of its outcomes, undercutting other epistemic aims, such as translation, in the process. (shrink)

“Hypernormal science” has minimal potential for contestation on matters of principle and practice so that information exchange can be unproblematic. Sciences comprise hypernormal domains and more contestable “normal” domains where knowledge diffusion, like acquiring linguistic fluency, depends on face-to-face interaction. Hypernormal domains belonging to molecular biology are contrasted with normal domains in gravitational wave detection physics. Sciences as a whole should not be confused with their typical domains. The analysis has immediate implications for proposed transitions out of the Covid-19 lockdown, (...) proposed solutions to the replication crisis, and, perhaps, our understanding of the early development of social studies of science. (shrink)

Social cognition is critical for successfully navigating social relationships. Current evidence suggests that older adults exhibit poorer performance in several core social-cognitive domains compared to younger adults. Neurocognitive decline is commonly discussed as one of the key arbiters of age-related decline in social-cognitive abilities. While evidence supports this notion, age effects are likely attributable to multiple factors. This paper aims to recontextualize past evidence by focusing issues of motivation, task design, and representative samples. In light of these issues, we identify (...) directions for future research to aide our understanding of social-cognitive aging. (shrink)

Emotion Review, Volume 14, Issue 2, Page 132-160, April 2022. Autonomic nervous system activity is a fundamental component of emotional responding. It is not clear, however, whether positive emotional states are associated with differential ANS reactivity. To address this issue, we conducted a meta-analytic review of 120 articles, measuring ANS activity during 11 elicited positive emotions, namely amusement, attachment love, awe, contentment, craving, excitement, gratitude, joy, nurturant love, pride, and sexual desire. We identified a widely dispersed collection of studies. Univariate (...) results indicated that positive emotions produce no or weak and highly variable increases in ANS reactivity. However, the limitations of work to date – which we discuss – mean that our conclusions should be treated as empirically grounded hypotheses that future research should validate. (shrink)

Open access-introduction into moral philosophy in German language that contains chapters on the concept of morality, on the development and the main positions of normative ethics, on meta-ethics, and on the various fields of applied ethics. One of its distinctive features is that it explicitly reflects on the role of morality and ethics in modern society and that it analyses the import of alternative conceptual and normative positions for determining this role. The book can be freely downloaded from the publisher's (...) website via the URL below. (shrink)

The study of human behavior is severely hampered by logistical problems, ethical and legal constraints, and funding shortfalls. However, the biggest difficulty of conducting social and behavioral research is the extraordinary complexity of the study phenomena. In this article, we review the impact of complexity on research design, hypothesis testing, measurement, data analyses, reproducibility, and the communication of findings in psychological science. The systematic investigation of the world often requires different approaches because of the variability in complexity. Confirmatory testing, multi-factorial (...) designs, survey methods, large samples, and modeling are frequently needed to study complex social and behavioral topics. Complexity impedes the measurement of general constructs, the reproducibility of results and scientific reporting, and the general rigor of research. Many of the benchmarks established by classic work in physical science are not attainable in studies of more complex phenomena. Consequently, the standards used to evaluate scientific research should be tethered to the complexity of the study topic. (shrink)

The practice of HARKing---hypothesizing after results are known---is commonly maligned as undermining the reliability of scientific findings. There are several accounts in the literature as to why HARKing undermines the reliability of findings. We argue that none of these is right and that the correct account is a Bayesian one. HARKing can indeed decrease the reliability of scientific findings, but it can also increase it; which effect HARKing produces depends on the difference of the prior odds of hypotheses characteristically selected (...) ex ante and ex post to observing data. Further, we show how misdiagnosis of HARKing can lead to misprescription in the context of the replication crisis. (shrink)

This manuscript describes our past experiences with reviewers and the review procedures that are currently used in the medical sciences. We conclude that reviewers all too often are biased, whereas scientific discussion should be based on substantive comments and without prejudice. In our opinion, subjective arguments for rejection of manuscripts constitute a serious threat to evidence-based medicine. Since peer review should aim to facilitate the introduction into medicine of improved ways of curing, relieving, and comforting patients, a more objective review (...) system with greater scope for the publication of divergent opinions is clearly needed to ensure that a literature search does not merely produce a plethora of articles with mainstream opinions. Our recommendations for a peer review system are: (1) No more anonymous reviewers; (2) The reviewer must concentrate initially on two questions: (a) was a real problem formulated in this manuscript? and (b) is the conclusion—if proven—relevant for practical situations? Keywords: publication bias—evidence-based medicine—review. (shrink)

Research misconduct is an alarming concern worldwide, and especially in Italy, where there is no formal training of young researchers in responsible research practices. The main aim of this study was to map the perceptions and attitudes about RM in a sample of young researchers attending a one-week intensive course on methodology, ethics and integrity in biomedical research, held at the University of Insubria. To this end, we administered the Scientific Misconduct Questionnaire to all attendees at the beginning of the (...) course. Thereafter, SMQ-R was re-administered at the end, to assess the impact of the course on the responsiveness of study participants, which is intended as the frequency of responses other than “don’t know”. Results show that respondents rate as high their own understanding about rules and procedures related to scientific misconduct, as well as the effectiveness of their institution’s measures for reducing it. Most of them perceive as low the chances of getting caught for RM. Some respondents believe that cases of misconduct occur in their workplace and that the integrity of a research is not solely the responsibility of the principal investigator. Among the main factors contributing to research misconduct, the need for publications, unclear definition of what constitutes misconduct and pressure for external funding do stand out. Respondents are concerned about the amount of misconduct and express a pressing need for training on research ethics. Remarkably, the responsiveness of participants tends to increase with course attendance. This finding may be useful to support education programmes devoted to research methodology, ethics and integrity among young researchers. (shrink)

Universities are seldom lauded publicly for maintaining good processes and practices; instead, media stories commonly focus on shortcomings. Furthermore, universities, even when doing everything right, sometimes are unfairly targeted for criticism in circumstances in which making a public defence is difficult. A prominent case at the University of Wollongong shows how defending a university’s integrity can be hampered by confidentiality requirements, lack of public understanding of thesis examination processes and of disciplinary expectations, and university procedures not designed for extraordinary attacks. (...) The implication is that there can be value in fostering greater awareness of the ways that universities and disciplinary fields operate, and reconsidering procedures with an eye towards possible attacks, both external and internal. (shrink)

There are currently serious concerns that published scientific findings often fail to be reproducible, and that some solutions may be gleaned by attending the several methodological and sociological recommendations that could be found in the literature. However, researchers would also arrive at some answers by considering the advice of the philosophy of science, particularly semantics, about theses on truth related to scientific realism. Sometimes scientists understand the correspondence thesis of truth as asserting that the next unique empirical confirmation of a (...) hypothesis suffices to attribute truth to it provisionally. Such empiricist bias is not necessarily at the core of CTT, but Mario Bunge proposed the synthetic thesis of truth, based on CTT, to explicitly avoid the bias. STT requires considering a hypothesis corroborated, both by purely empirical confirmation and external consistency or compatibility with the bulk of existing background knowledge. While a capricious understanding of CTT could be rigged to recommend the “one shot game” in hypothesis testing, STT clearly demands the use of multiple approaches, empirical as well as theoretical, and it asserts that a scientific test is effective to the extent to which it is neither purely empirical, nor viewed in isolation. Pattern consistency together with an understanding of causal relations make confirmed hypotheses robust and more reliable. The militancy of the double mechanism of hypothesis control of STT can help mitigate the reproducibility crisis. Earl Werner’s research program in community ecology is an example of the use of STT criteria, which leads to the development of reliable, cross-checked, ecological results, with high predictive capacity. (shrink)

Following recent debate on the relations between philosophy of science and the sciences, we wish to draw attention to some actual ways of training both young philosophers of science and young life scientists and clinicians. First, we recall a successful case of training philosophers of the life sciences in a strictly scientific environment. Second, after a brief review of the reasons why life scientists and clinicians are currently asking for more ethics, more methodology of science, and more philosophy of science (...) in the training of life scientists and clinicians, we present two training models that could spur the discussion on how to meet the requests coming from the scientific community. We argue that in order to reflect on mutual relations between philosophy of science and the sciences and to foster proper interactions, issues regarding the topics considered, the features of educational curricula, and the institutional organizations should be addressed jointly. (shrink)

Benjamin et al. Nature Human Behavior 2, 6–10 proposed decreasing the significance level by an order of magnitude to improve the replicability of psychology. This modest, practical proposal has been widely criticized, and its prospects remain unclear. This article defends this proposal against these criticisms and highlights its virtues.

Scientific research is based on the division of cognitive labour: every scientist has to trust that other colleagues have checked whether the items that are taken as knowledge, and she cannot check by herself, are reliable enough. I apply ideas from the field known as ‘information economics’ to analyse the scientists’ incentives to produce items of knowledge of an ‘adequate’ quality, under the assumption that a big part of what one observes in her empirical research is not available for the (...) readers of the paper. I also discuss some criticisms to this ‘marketization’ of science studies. (shrink)

These preprints were automatically compiled into a PDF from the collection of papers deposited in PhilSci-Archive in conjunction with the PSA 2018.

This article describes contrasting ideas for a set of topics in epidemiological thinking. The premise underlying this contribution to the special edition is that researchers develop their epidemiological thinking over time through interactions with other researchers who have a variety of in-practice commitments, such as to kinds of cases and methods of analysis, and not simply to a philosophical framework for explanation. I encourage discussants from philosophy and epidemiology to draw purposefully from across a range of topics and contrasting positions, (...) and thereby pursue critical thinking in the sense of understanding ideas and practices better when we examine them in relation to alternatives. After an initial topic concerning practices for developing epidemiological literacy, a number of conceptual steps follow—the characterization of the very phenomena we might be concerned with, the scope and challenges of the field of epidemiology, the formulation of categories—before linking associations, predictions, causes and interventions and examining the confounding of purported links. Building on that conceptual basis, the remaining topics consist of issues or angles of analysis related to the complexities of inequalities within and between populations, context, and changes over the life course. The organization of topics derives from a graduate course that I teach that aims for epidemiological literacy, not technical ability in statistical formulas and data analysis, and shares the underlying premise and critical thinking goals of this article. During the topic-by-topic description, some assertions about explanation and intervention emerge, notably, that epidemiological–philosophical discussion about causality often leaves unclear or unexamined whether a modifiable factor shown to have been associated with a difference in the data from past observations should be thought of as factor that, when modified, would generate that difference going forward. The article concludes with a “Limitations of this Study” section that teases out different kinds of description–prescription relationship that are implied in undertaking philosophy of epidemiology and identifies some other considerations that are implied but not emphasized by this article. (shrink)

Responding to recent concerns about the reliability of the published literature in psychology and other disciplines, we formed the X-Phi Replicability Project to estimate the reproducibility of experimental philosophy. Drawing on a representative sample of 40 x-phi studies published between 2003 and 2015, we enlisted 20 research teams across 8 countries to conduct a high-quality replication of each study in order to compare the results to the original published findings. We found that x-phi studies – as represented in our sample (...) – successfully replicated about 70% of the time. We discuss possible reasons for this relatively high replication rate in the field of experimental philosophy and offer suggestions for best research practices going forward. (shrink)

Multiple simultaneous independent discoveries, so well enunciated by Robert K. Merton in the early 1960s but already discussed for several hundreds of years, is a classic concept in the sociology of science. In this paper, the concept of multiple simultaneous independent errors is proposed, analyzed, and discussed. The concept of Selective Pessimistic Induction is proposed and used to connect MIDs with MIEs. Five types of MIEs are discussed: multiple errors in the interpretation of experimental data or computational results; multiple misjudgments (...) of the value of another’s research results or conclusions; multiple cases of false anticipation of achieving a certain experimental result; multiples of ignoring or omitting relevant precedents; and multiple instances of failure due to a not-yet-conceived scientific concept or principle. Causal MIDs and MIEs are those that can be traced directly to antecedent knowledge. Acausal MIDs and MIEs are those involving a consequential and identifiable leap from antecedent knowledge. Examples of causal and acausal MIEs are provided, mostly but not exclusively from the discipline of chemistry. Comparisons are made between MIDs and MIEs. Topics for future research are discussed and implications of these concepts are proposed. (shrink)

Male circumcision—partial or total removal of the penile prepuce—has been proposed as a public health measure in Sub-Saharan Africa, based on the results of three randomized control trials showing a relative risk reduction of approximately 60 per cent for voluntary, adult male circumcision against female-to-male human immunodeficiency virus transmission in that context. More recently, long-time advocates of infant male circumcision have argued that these findings justify involuntary circumcision of babies and children in dissimilar public health environments, such as the USA, (...) Australasia and Europe. In this article, we take a close look at the necessary ethical and empirical steps that would be needed to bridge the gap between the African RCTs and responsible public health policy in developed countries. In the course of doing so, we discuss some of the main disagreements about the moral permissibility of performing a nontherapeutic surgery on a child to benefit potential future sexual partners of his. In this context, we raise concerns not only about weaknesses in the available evidence concerning such claims of benefit, but also about a child’s moral interest in future autonomy and the preservation of his bodily integrity. We conclude that circumcision of minors in developed countries on public health grounds is much harder to justify than proponents of the surgery suggest. (shrink)

When a study shows statistically significant correlation between an exposure and an outcome, the credence of a real connection between the two increases. Should that credence remain the same when it is discovered that further independent studies between the exposure and other independent outcomes were conducted? Matthew Kotzen argues that it should remain the same, even if the results of those further studies are discovered. However, we argue that it can differ dependent upon the results of the studies.

Peer-review is neither reliable, fair, nor a valid basis for predicting ‘impact’: as quality control, peer-review is not fit for purpose. Endorsing the consensus, I offer a reframing: while a normative social process, peer-review also shapes the writing of a scientific paper. In so far as ‘cognition’ describes enabling conditions for flexible behavior, the practices of peer-review thus constrain knowledge-making. To pursue cognitive functions of peer-review, however, manuscripts must be seen as ‘symbolizations’, replicable patterns that use technologically enabled activity. On (...) this bio-cognitive view, peer-review constrains knowledge-making by writers, editors, reviewers. Authors are prompted to recursively re-aggregate symbolizations to present what are deemed acceptable knowledge claims. How, then, can recursive re-embodiment be explored? In illustration, I sketch how the paper’s own content came to be re-aggregated: agonistic review drove reformatting of argument structure, changes in rhetorical ploys and careful choice of wordings. For this reason, the paper’s knowledge-claims can be traced to human activity that occurs in distributed cognitive systems. Peer-review is on the frontline in the knowledge sector in that it delimits what can count as knowing. Its systemic nature is therefore crucial to not only discipline-centered ‘real’ science but also its ‘post-academic’ counterparts. (shrink)