Our ability for scientific reasoning is a byproduct of cognitive faculties that evolved in response to problems related to survival and reproduction. Does this observation increase the epistemic standing of science, or should we treat scientific knowledge with suspicion? The conclusions one draws from applying evolutionary theory to scientific beliefs depend to an important extent on the validity of evolutionary arguments (EAs) or evolutionary debunking arguments (EDAs). In this paper we show through an analytical model that cultural (...) transmission of scientific knowledge can lead toward representations that are more truth-approximating or more efficient at solving science-related problems under a broad range of circumstances, even under conditions where human cognitive faculties would be further off the mark than they actually are. (shrink)

Machine learning systems have shown great potential for performing or supporting inferential reasoning through analyzing large data sets, thereby potentially facilitating more informed decision-making. However, a hindrance to such use of ML systems is that the predictive models created through ML are often complex, opaque, and poorly understood, even if the programs “learning” the models are simple, transparent, and well understood. ML models become difficult to trust, since lay-people, specialists, and even researchers have difficulties gauging the reasonableness, correctness, and reliability (...) of the inferences performed. In this article, we argue that bridging this gap in the understanding of ML models and their reasonableness requires a focus on developing an improved methodology for their creation. This process has been likened to “alchemy” and criticized for involving a large degree of “black art,” owing to its reliance on poorly understood “best practices”. We soften this critique and argue that the seeming arbitrariness often is the result of a lack of explicit hypothesizing stemming from an empiricist and myopic focus on optimizing for predictive performance rather than from an occult or mystical process. We present some of the problems resulting from the excessive focus on optimizing generalization performance at the cost of hypothesizing about the selection of data and biases. We suggest embedding ML in a general logic of scientific discovery similar to the one presented by Charles Sanders Peirce, and present a recontextualized version of Peirce’s scientific hypothesis adjusted to ML. (shrink)

Our ability for scientific reasoning is a byproduct of cognitive faculties that evolved in response to problems related to survival and reproduction. Does this observation increase the epistemic standing of science, or should we treat scientific knowledge with suspicion? The conclusions one draws from applying evolutionary theory to scientific beliefs depend to an important extent on the validity of evolutionary arguments (EAs) or evolutionary debunking arguments (EDAs). In this paper we show through an analytical model that cultural (...) transmission of scientific knowledge can lead toward representations that are more truth-approximating or more efficient at solving science-related problems under a broad range of circumstances, even under conditions where human cognitive faculties would be further off the mark than they actually are. (shrink)

Feminist critiques of science show that systematic biases strongly influence what scientific communities find salient. Features of reality relevant to women, for instance, may be under-appreciated or disregarded because of bias. Many feminist analyses of values in science identify problems with salience and suggest better epistemologies. But overlooked in such analyses are important discussions about intellectual virtues and the role they play in determining salience. Intellectual virtues influence what we should find salient. They do this in part by (...) managing the emotions, which are cognitively involved in what we actually do find salient. One reason intellectual virtues do not factor more strongly in feminist epistemology is the mistaken assumption that they could not serve as explicit epistemic community standards for scientific inquiry. There are good reasons, however, to think in terms of community intellectual virtue and consequently, to advance explicit public standards of intellectual virtue for scientific research. To show how explicit public standards for intellectual virtue might improve reasoning in biased conditions, I analyze a striking oversight in several evolutionary immunological hypotheses concerning women's reproduction and sexuality. I conclude that feminist epistemology would benefit from greater consideration of intellectual virtues, particularly in connection with social epistemological insights. (shrink)

Research suggests that people tend to overweight arguments accompanied by neuroscientific terminology, which is dubbed as the seductive allure of neuroscience explanations (SANE) in the literature. Such an effect might be of particular significance when it comes to physicians and mental health professionals (MHP), given that it has the potential to cause significant bias in their understanding as well as their treatment approaches toward psychiatric symptoms. In this study, we aimed to test the SANE effect among Turkish medical students, and (...) assess its uniqueness by comparing it with a discipline that still maintains an important role in contemporary psychiatric training in Turkey: psychoanalysis. 109 medical students with a basic level of knowledge of psychiatry and clinical neuroscience were asked to rate the credibility of explanations of differing quality (good vs. circular) for psychological phenomena, followed by three types of information: none, neuroscientific (SNI) or psychoanalytical (SPI). Our findings showed that SNI significantly increased the judged quality of explanations for both conditions with the effect being more prominent for circular explanations. On the other hand, SPI had no effect on good explanations but enhanced the judged quality of circular explanations in a level comparable to that of SNI. For the first time, the SANE effect was replicated among medical students and provided preliminary data in favor of a similar effect for psychoanalytically oriented information. (shrink)

This treatise covers the history, now more than 170 years long, of researches and debates concerning the biblical city of Ai. This archetypical chapter in the evolution of biblical archaeology and historiography was never presented in full. I use the historical data as a case study to explore a number of epistemological issues, such as the creation and revision of scientific knowledge, the formation and change of consensus, the Kuhnian model of paradigm shift, several models of discrimination between hypotheses (...) about the past, the interplay between scientists' values and their epistemic beliefs, and the truth-bearing of historiographic reconstruction. I show, in particular, that when scientists share common epistemic values they can modify their beliefs even when such changes go against deeply entrenched biases and preconceptions. Considerations of coherence usually constrain such modifications, and when sufficient data is available the result can be a profound change of beliefs. Several episodes of the "Ai debates" demonstrate, however, that similar change of beliefs will not occur when non-epistemic values take precedence. (shrink)

Research misconduct is of growing concern within the scientific community. As a result, organizations must identify effective approaches to training for ethics in research. Previous research has suggested that biases and compensatory strategies may represent important influences on the ethical decision-making process. The present effort investigated a training intervention targeting these variables. The results of the intervention are presented, as well as a description of accompanying exercises tapping self-reflection, sensemaking, and forecasting and their differential effectiveness on transfer to (...) an ethical decision-making task. (shrink)

Scientific Testimony concerns the roles of scientific testimony in science and society. The book develops a positive alternative to a tradition famously expressed by the slogan of the Royal Society Nullius in verba ("Take nobody's word for it"). This book argues that intra-scientific testimony—i.e., testimony between collaborating scientists—is not in conflict with the spirit of science or an add-on to scientific practice. On the contrary, intra-scientific testimony is a vital part of science. This is illustrated (...) by articulating epistemic norms of intra-scientific testimony and arguing that they are vital to scientific methodology on a par with other scientific norms governing scientific observation and data analysis. -/- The book also provides an account of public scientific testimony—i.e., scientific testimony to the lay population. This is done by integrating philosophical resources with empirical research on the science of science communication. For example, various misconceptions about science and folk epistemological biases are diagnosed as factors that contribute to science skepticism. This diagnosis provides the basis for developing novel norms for science communication that are sensitive to the psychological and social obstacles to laypersons' uptake of it. Finally, the volume discusses how public scientific testimony is best embedded in society and argues that it is critical for societies that pursue the ideals of deliberative democracy. Scientific Testimony draws on philosophy of science, social epistemology, and empirical research to provide a wide-ranging account of the roles of scientific testimony within scientific practice and within the wider society. (shrink)

Philip Kitcher rejects the global pessimists' view that the conclusions reached in inquiry are determined by the interests of some segment of the population, arguing that only some inquiries, for example, inquiries into race and gender, are adversely affected by interests. I argue that the biases Kitcher believes affect such inquiries are operative in all domains, but the prevalence of such biases does not support global pessimism. I argue further that in order to address the global pessimists' concerns, (...) the scientific community needs criticism from people with diverse interests and background assumptions. (shrink)

Philip Kitcher rejects the global pessimists' view that the conclusions reached in inquiry are determined by the interests of some segment of the population, arguing that only some inquiries, for example, inquiries into race and gender, are adversely affected by interests. I argue that the biases Kitcher believes affect such inquiries are operative in all domains, but the prevalence of such biases does not support global pessimism. I argue further that in order to address the global pessimists' concerns, (...) the scientific community needs criticism from people with diverse interests and background assumptions. (shrink)

In recent years the social nature of scientific inquiry has generated considerable interest. We examine the effect of an epistemically impure agent on a community of honest truth seekers. Extending a formal model of network epistemology pioneered by Zollman, we conclude that an intransigently biased agent prevents the community from ever converging to the truth. We explore two solutions to this problem, including a novel procedure for endogenous network formation in which agents choose whom to trust. We contend that (...) our model nicely captures aspects of current problems in medical research and gesture at some morals for medical epistemology more generally. (shrink)

Scientific misconduct is usually assumed to be self-serving. This paper, however, proposes to distinguish between two types of scientific misconduct: ‘type one scientific misconduct’ is self-serving and leads to falsely positive conclusions about one’s own work, while ‘type two scientific misconduct’ is other-harming and leads to falsely negative conclusions about someone else’s work. The focus is then on the latter type, and three known issues are identified as specific forms of such scientific misconduct: biased quality (...) assessment, smear, and officially condoning scientific misconduct. These concern the improper ways how challenges of the prevailing opinion are thwarted in the modern world. The central issue is pseudoskepticism: uttering negative conclusions about someone else’s work that are downright false. It is argued that this may be an emotional response, rather than a calculated strategic action. Recommendations for educative and punitive measures are given to prevent and to deal with these three forms of scientific misconduct. (shrink)

Approaching science by considering the epistemological virtues which scientists see as constitutive of good science, and the way these virtues trade-off against one another, makes it possible to capture action that may be lost by approaches which focus on either the theoretical or institutional level. Following Wimsatt (1984) I use the notion of heuristics and biases to help explore a case study from the history of biology. Early in the 20th century, mutation theorists and natural historians fought over the (...) role that isolation plays in evolution. This debate was principally about whether replication was the central scientific virtue (and hence the ultimate goal of science to replace non-experimental evidence with experimental evidence) or whether consilience of inductions was the central virtue (and hence, as many kinds of evidence as possible should be pursued). (shrink)

This paper shows that, for a large range of parameters, the journal editor prefers to delegate the choice to review the manuscript to the biased referee. If the peer review process is informative and the review reports are costly for the reviewers, even biased referees with extreme scientific preferences may choose to become informed about the manuscript’s quality. On the contrary, if the review process is potentially informative but the reviewer reports are not costly for the referees, the biased (...) reviewer has no incentive to become informed about the manuscript. Furthermore, if the reports are costly for referees but the peer review processes are not potentially informative, the biased reviewers will never become informed. In this paper, we also present a web resource that helps editors to experiment with the review process as a device for information transmission. (shrink)

Naturalistic philosophers rely on literature search and review in a number of ways and for different purposes. Yet this article shows how processes of literature search and review are likely to be affected by widespread and systematic biases. A solution to this problem is offered here. Whilst the tradition of systematic reviews of literature from scientific disciplines has been neglected in philosophy, systematic reviews are important tools that minimize bias in literature search and review and allow for greater (...) reproducibility and transparency. If naturalistic philosophers wish to reduce bias in their research, they should then supplement their traditional tools for literature search and review by including systematic methodologies. (shrink)

Naturalistic philosophers rely on literature search and review in a number of ways and for different purposes. Yet this article shows how processes of literature search and review are likely to be affected by widespread and systematic biases. A solution to this problem is offered here. Whilst the tradition of systematic reviews of literature from scientific disciplines has been neglected in philosophy, systematic reviews are important tools that minimize bias in literature search and review and allow for greater (...) reproducibility and transparency. If naturalistic philosophers wish to reduce bias in their research, they should then supplement their traditional tools for literature search and review by including systematic methodologies. (shrink)

Along with economic strength, space technology and software expertise, India is also a leading nation in fraudulent scientific research. The problem is worsened by vested interests working in concert for their own benefits. These self-promoting cartels, together with biased evaluation methods and weak penal systems, combine to perpetuate scientific misconduct. Some of these issues are discussed in this commentary, with supporting examples and possible solutions.

Scientists and laypeople alike use the sense of understanding that an explanation conveys as a cue to good or correct explanation. Although the occurrence of this sense or feeling of understanding is neither necessary nor sufficient for good explanation, it does drive judgments of the plausibility and, ultimately, the acceptability, of an explanation. This paper presents evidence that the sense of understanding is in part the routine consequence of two well-documented biases in cognitive psychology: overconfidence and hindsight. In light (...) of the prevalence of counterfeit understanding in the history of science, I argue that many forms of cognitive achievement do not involve a sense of understanding, and that only the truth or accuracy of an explanation make the sense of understanding a valid cue to genuine understanding. (shrink)

This report provides a critique of the target article's premise that measures of rigidity are biased against religiously committed individuals. The report is found to have serious conceptual and methodological problems that undermine its contribution. Conceptually, the paper does not demonstrate that rigidity scales are indeed biased, as that term is used in the field of psychometrics. Methodologically, the paper suffers from multiple weaknesses, including not demonstrating that the "translated" items are comparable to the original items they are intended to (...) replace, the presence of multi-colinearity among the measures, and inconsistent patterns of convergent correlations for the "new" scale. As such, the target article is unable to provide any credible scientific support for its claims. In response, this paper argues that a more sophisticated understanding of the constructs of rigidity and religious commitment can make sense of this claimed "bias". (shrink)

One of the innovative approaches in contemporary philosophical ontology consists in the assumption of a plurality of ontologies based on different metaphysical presuppositions. Such presuppositions involve, among others, the identification of relevant properties for the objects of our domain as a guiding principle in uncovering what it is to be considered intrinsic and what could be the mere effect of selection preferences based on objective or subjective criteria. A remarkable example of the application of a background metaphysical theory in astrophysics (...) is the problem of selection biases in detecting cosmological objects, such as supernovae, galaxies and gamma-ray bursts. We will show that it is valuable to be aware of the importance of uncovering this type of background theory to better understand selection effects and to promote a novel approach in scientific research. (shrink)

The ecologist today finds scarce ground safe from controversy. Decisions must be made about what combination of data, goals, methods, and theories offers them the foundations and tools they need to construct and defend their research. When push comes to shove, ecologists often turn to philosophy to justify why it is their approach that is scientific. Karl Popper’s image of science as bold conjectures and heroic refutations is routinely enlisted to justify testing hypotheses over merely confirming them. One of (...) the most controversial theories in contemporary science is the Neutral Theory of Ecology. Its chief developer and proponent, Stephen Hubbell, presents the neutral theory as a bold conjecture that has so far escaped refutation. Critics of the neutral theory claim that it already stands refuted, despite what the dogmatic neutralists say. We see the controversy through a Popperian lens. But Popper’s is an impoverished philosophy of science that distorts contemporary ecology. -/- The controversy surrounding the neutral theory actually rests on a methodological fault. There is a strong but messy historical link between the concepts of being neutral and being null in biology, and Hubbell perpetuates this when he claims that the neutral theory is supplies the appropriate null for testing alternative theories. What method is being followed here? There are three contenders: -/- Null hypothesis testing tests for whether a there is a pattern to be explained. Null modeling tests for whether a process is causally relevant to a pattern. Baseline modeling apportions relative responsibility to multiple processes each relevant to a pattern. -/- Whether the neutral theory supplies an appropriate “null” depends upon whether null hypothesis, null modeling, or baseline model is intended. These methods prescribe distinct inference patterns. If they are null hypothesis testing or null modeling, the neutralists’s reasoning is invalid. If they are baseline modeling, the justification of a crucial assumption remains opaque. Either way, the neutral-null connection is being exploited rhetorically to privilege the neutral theory over its rivals. Clarifying the reasoning immunizes us against the rhetoric and foregrounds the underlying virtues of the neutralist approach to ecology. -/- The Popperian lens distorts theoretical development as dogmatism. Lakatos’s view of science as the development of research programmes clarifies the epistemology of the neutral theory. Focusing philosophical attention on the neutralist research programme illuminates (1) the synchronic uses of the neutral theory to make predictions and give descriptions and explanations; (2) its diachronic development in response to theoretical innovation and confrontation with data; (3) its complex relationships to alternative theories. For example, baseline modeling is now seen to be its primary explanatory heuristic. The justification for baseline modeling with the neutral theory, previously hidden from view, is seen in the logic of in the neutralist research programme. (shrink)

Although scientific practice sometimes encounters philosophical dif- ficulties, it cannot shoulder the burden of resolving them. This can lead to controversies. An unavoidable difficulty is rooted in the linguistic attitude, i.e., in the fact that to a considerable extent we express our thoughts in words. I will attempt to illuminate some important characteristics of linguistic expres- sion which lead to paradoxical situations, identifiable thanks to philosophy. In my argument, I will investigate how the notion of consciousness has altered over (...) the course of philosophical investigation and how it relates to recent scientific practice. In conclusion, I will focus on a few recent so-called radical positions in philosophy with regard to a framework within which consciousness and more generally mental phenomena can be regarded in a new light, as well as on the barriers we face when trying to unify scientific results. (shrink)

Multiple measures of decision-making under uncertainty (e.g. jumping to conclusions (JTC), bias against disconfirmatory evidence (BADE), win-switch behavior, random exploration) have been associated with delusional thinking in independent studies. Yet, it is unknown whether these variables explain shared or unique variance in delusional thinking, and whether these relationships are specific to paranoia or delusional ideation more broadly. Additionally, the underlying computational mechanisms require further investigation. To investigate these questions, task and self-report data were collected in 88 individuals (46 healthy controls, (...) 42 schizophrenia-spectrum) and included measures of cognitive biases and behavior on probabilistic reversal learning and explore/exploit tasks. Of those, only win-switch rate significantly differed between groups. In regression, reversal learning performance, random exploration, and poor evidence integration during BADE showed significant, independent associations with paranoia. Only self-reported JTC was associated with delusional ideation, controlling for paranoia. Computational parameters increased the proportion of variance explained in paranoia. Overall, decision-making influenced by strong volatility and variability is specifically associated with paranoia, whereas self-reported hasty decision-making is specifically associated with other themes of delusional ideation. These aspects of decision-making under uncertainty may therefore represent distinct cognitive processes that, together, have the potential to worsen delusional thinking across the psychosis spectrum. (shrink)

The scientific world-outlook is something quite different from natural science. The word “science” in its legitimate modern usage represents both a kind of knowledge and the method of obtaining that knowledge. By “science” we may mean an objective body of facts and relationships concerning the physical world and arrived at by the scientific method of observation and reasoning—preferably quantitative observation and mathematical reasoning: thus we may say that the law of constant proportions is a part of the science (...) of chemistry. But we may also use the word science to denote that scientific method which I have just mentioned: thus I may say that science is the key to the investigation of nature—or that some inaccurate or biased piece of work is unscientific. Science, in either of these senses, does not contain any world-outlook, for it is quite impersonal. Thus science in the first sense consists of certain statements and relationships e.g.—that sulphur is yellow, that Jupiter has eight satellites, that all solutions of acids in water conduct electricity; while the scientific method indicates the manner in which from the data of our sense-impressions we can infer statements and conclusions, such as the above, which will be found to represent the phenomena correctly. But a scientific world-outlook means something different, because it is a world -outlook, the attitude of a man or woman towards the whole of that of which he or she is conscious. (shrink)

The aim of the paper is to clarify the concept of scientific ignorance: what is it, what are its sources, and when is it epistemically detrimental to science. While some sources of scientific ignorance come inevitably with the process of knowledge acquisition, others are deliberately created. The former includes selection processes, inductive reasoning, and cognitive biases, while the latter includes scientific fraud. Another important source of scientific ignorance appears when scientists introduce methodological biases through (...) micro-decisions in the research process. I provide three examples from medical research to illustrate this point. I argue further that methodological biases present a challenge, in so far as they are no easily classifiable as deliberate: they might also be the result of entrenched research practices within a scientific community. Strategies to identify and prevent methodological biases in research should take into account such difference. (shrink)

Algorithmic biases, or algorithmic unfairness, have been a topic of public and scientific scrutiny for the past years, as increasing evidence suggests the pervasive assimilation of human cognitive biases and stereotypes in such systems. This research is specifically concerned with analyzing the presence of discursive biases in the text generated by GPT-3, an NLPM which has been praised in recent years for resembling human language so closely that it is becoming difficult to differentiate between the human (...) and the algorithm. The pertinence of this research object is substantiated by the identification of race, gender and religious biases in the model’s completions in recent research, suggesting that the model is indeed heavily influenced by human cognitive biases. To this end, this research inquires: How does the Natural Language Processing Model GPT-3 replicate existing social biases?. This question is addressed through the scrutiny of GPT-3’s completions using Critical Discourse Analysis (CDA), a method which has been deemed as amply valuable for this research as it is aimed at uncovering power asymmetries in language. As such, the analysis is specifically centered around the analysis of gender and race biases in the model’s generated text. Research findings suggest that GPT-3’s language generation model significantly exacerbates existing social biases while replicating dangerous ideologies akin to white supremacy and hegemonic masculinity as factual knowledge. (shrink)

The current scientific discourse offers two opposing viewpoints about the roots of implicit biases: are they belief states or subdoxastic attitudes? The goal of this paper is to show that belief accounts of implicit biases are too demanding and lack a satisfying reasoning theory. Firstly, I will outline the concept of attitude and its relation to implicit biases. Next, I will briefly outline Mendelbaum’s view, who gives a paradigmatic example of a belief account of implicit (...) class='Hi'>biases. Afterward, I will concern two flaws and discuss them in more detail. This shows that all current belief accounts of implicit biases do not emphasize these critical points enough, which makes them unsatisfying. (shrink)

Scientific reasoning represents complex argumentation patterns that eventually lead to scientific discoveries. Social epistemology of science provides a perspective on the scientific community as a whole and on its collective knowledge acquisition. Different techniques have been employed with the goal of maximization of scientific knowledge on the group level. These techniques include formal models and computer simulations of scientific reasoning and interaction. Still, these models have tested mainly abstract hypothetical scenarios. The present thesis instead presents (...) data-driven approaches in social epistemology of science. A data-driven approach requires data collection and curation for its further usage, which can include creating empirically calibrated models and simulations of scientific inquiry, performing statistical analyses, or employing data- mining techniques and other procedures. -/- We present and analyze in detail three co-authored research projects on which the thesis’ author was engaged during her PhD. The first project sought to identify optimal team composition in high energy physics laboratories using data-mining techniques. The results of this project are published in (Perović et al. 2016), and indicate that projects with smaller numbers of teams and team members outperform bigger ones. In the second project, we attempted to determine whether there is an epistemic saturation point in experimentation in high energy physics. The initial results from this project are published in (Sikimić et al. 2018). In the thesis, we expand on this topic by using computer simulations to test for biases that could induce scientists to invest in projects beyond their epistemic saturation point. Finally, in previous examples of data-driven analyses, citations are used as a measure of epistemic efficiency of projects in high energy physics. In order to additionally justify and analyze the usage of this parameter in their data-driven research, in the third project Perović & Sikimić (2019) analyzed and compared inductive patterns in experimental physics and biology with the reliability of citation records in these fields. They conclude that while citations are a relatively reliable measure of efficiency in high energy physics research, the same does not hold for the majority of research in experimental biology. -/- Additionally, contributions of the author that are for the first time published in this theses are: (a) an empirically calibrated model of scientific interaction of research groups in biology, (b) a case study of irregular argumentation patterns in some pathogen discoveries, and (c) an introductory discussion of the benefits and limitations of data- driven approaches to the social epistemology of science. Using computer simulations of an empirically calibrated model, we demonstrate that having several levels of hierarchy and division into smaller research sub-teams is epistemically beneficial for researchers in experimental biology. We also show that argumentation analysis in biology represents a good starting point for further data-driven analyses in the field. Finally, we conclude that a data-driven approach is informative and useful for science policy, but requires careful considerations about data collection, curation, and interpretation. (shrink)

Purpose Genetic research, via the mainstream media, presents the public with novel, profound findings almost on a daily basis. However, it is not clear how much laypeople understand these presentations and how they integrate such new findings into their knowledge base. Genetic knowledge (GK), existing causal beliefs, and genetic essentialist tendencies (GET) have been implicated in such processes; the current study assesses the relationships between these elements and how brief presentations of media releases of scientific findings about genetics are (...) consumed and affect the readers. -/- Methods An Australian national survey of GK, GET, and existing causal beliefs about health phenomena (heart disease and obesity) was conducted. Participants were also exposed to news headlines that offered genetic and non-genetic partial explanations of the same health phenomena and reported their evaluations of these headlines, as well as the effects of the headlines on their personal understanding of the health phenomena. -/- Results GK was negatively-associated with GET. Whereas GK did not directly predict the evaluation and effects of the genetic headlines, GET did. GK predicted the effects of the headlines indirectly via GET and via GET and existing causal beliefs. -/- Conclusion GET seem to predict unwarranted effects of exposure to news headlines about genetic science, whereas GK seems to indirectly mitigate the same unwarranted effects. (shrink)

The “expertise defense” is the claim that philosophers have special expertise that allows them to resist the biases suggested by the findings of experimental philosophers. Typically, this defense is backed up by an analogy with expertise in science or other academic fields. Recently, however, studies have begun to suggest that philosophers' intuitions may be just as subject to inappropriate variation as those of the folk. Should we conclude that the expertise defense has been debunked? I'll argue that the analogy (...) with science still motivates a default assumption of philosophical expertise; however, the expertise so motivated is not expertise in intuition, and its existence would not suffice to answer the experimentalist challenge. I'll also suggest that there are deep parallels between the current methodological crisis in philosophy and the decline of introspection-based methods in psychology in the early twentieth century. The comparison can give us insight into the possible future evolution of philosoph.. (shrink)

This paper focuses on the question of whether DNA patents help or hinder scientific discovery and innovation. While DNA patents create a wide variety of possible benefits and harms for science and technology, the evidence we have at this point in time supports the conclusion that they will probably promote rather than hamper scientific discovery and innovation. However, since DNA patenting is a relatively recent phenomena and the biotechnology industry is in its infancy, we should continue to gather (...) evidence about the effects of DNA patenting on scientific innovation and discovery as well the economic, social, and legal conditions relating to intellectual property in biotechnology. We should give the free market, the courts, researchers, and patent offices a chance to settle issues related to innovation and discovery, before we seek legislative remedies, since new laws proposed at this point would lack adequate foresight and could do more harm than good. However, we should be open to new laws or regulations on DNA patents if they are required to in order to deal with some of the biases and limitations of the free market. (shrink)

The “expertise defense” is the claim that philosophers have special expertise that allows them to resist the biases suggested by the findings of experimental philosophers. Typically, this defense is backed up by an analogy with expertise in science or other academic fields. Recently, however, studies have begun to suggest that philosophers' intuitions may be just as subject to inappropriate variation as those of the folk. Should we conclude that the expertise defense has been debunked? I'll argue that the analogy (...) with science still motivates a default assumption of philosophical expertise; however, the expertise so motivated is not expertise in intuition, and its existence would not suffice to answer the experimentalist challenge. I'll also suggest that there are deep parallels between the current methodological crisis in philosophy and the decline of introspection-based methods in psychology in the early twentieth century. The comparison can give us insight into the possible future evolution of philosophical methodology. (shrink)

English abstract: Feminist philosophers of science have argued that various biases can and do influence the results of scientific investigations. Two kinds of arguments have been most influential: On the one hand, it has been argued that biased assumptions frequently bridge the gap between observation and theory associated with ‘the underdetermination thesis’. On the other hand, it has been argued that biased value judgments determine when the evidence in favor of a particular theory is considered sufficiently strong for (...) the theory to be accepted as true. This paper argues that bias can influence the results of scientific investigations via a third route. Briefly, biases can and do influence which theories are seriously proposed and considered in scientific communities, which in turn leads to otherwise promising theories being ignored when scientists are choosing between such theories. In the final section, I suggest that this result speaks in favor of taking a quite radical approach to eliminating unwanted biases in science. (shrink)

Logic is a fundamental reason why computational accounts of the mind have failed. Combinatorial complexity preventing computational accounts is equivalent to the Gödelian incompleteness of logic. The mind is not logical, but only logical states and processes in the mind are accessible to subjective consciousness. For this reason, intuitions of psychologists, cognitive scientists, and mathematicians modeling the mind are biased toward logic. This is also true about the changes proposed inAfter Phrenology.

In our response, we review and address the comments on our target article made in the 25 commentaries. First, we review and discuss the commentaries that recognized the value of our approach, accepted the main premises and conclusions of our target article, and suggested further avenues for research on attractiveness-related biases. We then respond to commentators who either misinterpreted some parts of our target article or made statements with which we disagree. These commentaries provided us with an opportunity to (...) clarify some aspects of our target article, for example, the fact that we address both the functional significance of attractiveness-related biases and their underlying mechanisms. We provide a rebuttal to two commentaries, in which we are accused of poor scholarship. We conclude our response by addressing two commentaries that discussed the societal implications of the occurrence of attractiveness-related biases in the labor market by briefly discussing the relationship between scientific research and social policy. (shrink)

Despite some important observations and after decades of widespread consensus around the big bang cosmology, Fred Hoyle, one of the proponents of the steady-state cosmology, continued to fight the big bang idea throughout his life. We can try to understand this persistent attitude of Hoyle through a Holtonian thematic approach, by admitting that personal preferences and choices of scientists are conditioned by themata. Thematic analysis shows that big bang cosmology is mainly based on a set of themata consisting of evolution, (...) finitude, life cycle (which has a beginning), and change; the steady-state cosmology is based on opposite themata: steady-state, infinity, continuous existence, and constancy. Personal preferences seem to have been important in the strong and passionate dispute between big bang and steady-state ideas, and Hoyle is a very illustrative example of a personal commitment remarkably long-lived to some themata, in this case to the opposite themata of the big bang cosmology. In his personal and persistent struggle against the big bang idea, Hoyle always refused the way how some experimental observations were considered decisive in favor of this cosmology. This is a typical thematic attitude: letting some personal thematic preferences influence the acceptance or rejection of scientific evidence. In this case, that corresponds to the existence of selection effects and biases regarding important cosmological observations, in order to sustain a persistent rejection of the big bang idea. (shrink)

Social scientists regularly make use of multivariate models to describe complex social phenomena. It is argued that this approach is useful for modelling the variety of cognitive and social factors contributing to scientific change, and superior to the integrated models of scientific change currently available. It is also argued that care needs to be taken in drawing normative conclusions: cognitive factors are not instrinsically more "rational" than social factors, nor is it likely that social factors, by some "invisible (...) hand of reason," generally work to produce scientific success. A multivariate model of the biasing factors within a scientific community at particular times is developed. This model, which is an example of work in social epistemology, yields normative conclusions. (shrink)

IntroductionBisphenol A is highly debated and studied in relation to a variety of health outcomes. This large variation in the literature makes BPA a topic that is prone to selective use of literature, in order to underpin one’s own findings and opinion. Over time, selective use of literature, by means of citations, can lead to a skewed knowledge development and a biased scientific consensus. In this study, we assess which factors drive citation and whether this results in the overrepresentation (...) of harmful health effects of BPA.MethodsA citation network analysis was performed to test various determinants of citation. A systematic search identified all relevant publications on the human health effect of BPA. Data were extracted on potential determinants of selective citation, such as study outcome, study design, sample size, journal impact factor, authority of the author, self-citation, and funding source. We applied random effect logistic regression to assess whether these determinants influence the likelihood of citation.ResultsOne hundred sixty-nine publications on BPA were identified, with 12,432 potential citation pathways of which 808 citations occurred. The network consisted of 63 cross-sectional studies, 34 cohort studies, 29 case-control studies, 35 narrative reviews, and 8 systematic reviews. Positive studies have a 1.5 times greater chance of being cited compared to negative studies. Additionally, the authority of the author and self-citation are consistently found to be positively associated with the likelihood of being cited. Overall, the network seems to be highly influenced by two highly cited publications, whereas 60 out of 169 publications received no citations.ConclusionIn the literature on BPA, citation is mostly driven by positive study outcome and author-related factors, such as high authority within the network. Interpreting the impact of these factors and the big influence of a few highly cited publications, it can be questioned to which extent the knowledge development in human literature on BPA is actually evidence-based. (shrink)

Despite a growing interest in gender differences in scientific careers, few studies have focused on the impact of research organization on researchers. This article offers a new approach to this issue by introducing bibliometric maps combined with sociological data and interviews, taking both the research organization and the experiences of the individual researcher into account. The results indicate that gender biases operate at various levels of the research organization and are often imbedded in seemingly gender-neutral processes and practices (...) in the everyday working life of researchers. (shrink)

Over the last two decades judges (and regulators) in all common law jurisdictions have increased their reliance on published medical and scientific literature. During the same period biomedical research has undergone fundamental and unprecedented change. This article explores some of the changes to the location, organization and funding of biomedical research in order to assess their implications for liability and proof. Focusing on peer review and publication, along with reforms promoted by the editors of some of the world's pre-eminent (...) general medical journals (e.g. British Medical Journal, the Lancet, Journal of the American Medical Association and the New England Journal of Medicine), this article considers how judges might respond to recent findings which suggest that corporate sponsorship systematically biases biomedical research. Given that common law judges have been reforming rules of evidence and procedure in search of impartial expertise and privileging published biomedical research, how should they respond to the strategic manipulation of the scientific record? (shrink)

Evolutionary anthropologists and archaeologists have been considerably successful in modelling the cumulative evolution of culture, of technological skills and knowledge in particular. Recently, one of these models has been introduced in the philosophy of science by De Cruz and De Smedt (Philos Stud 157:411–429, 2012), in an attempt to demonstrate that scientists may collectively come to hold more truth-approximating beliefs, despite the cognitive biases which they individually are known to be subject to. Here we identify a major shortcoming in (...) that attempt: De Cruz & De Smedt’s mathematical model makes one particularly strong tractability assumption that causes the model to largely miss its target (namely, truth accumulation in science), and that moreover conflicts with empirical observations. The second, more constructive part of the paper presents an alternative, agent-based model, which allows one to much better examine the conditions for scientific progress and decline. (shrink)

Fundamental terms in the field of ecology are ambiguous, with multiple meanings associated with them. While this could lead to confusion, discord, or even tests that violate core assumptions of a given theory or model, this ambiguity could also be a feature that allows for new knowledge creation through the interconnected nature of concepts. We approached this debate from a quantitative perspective, and investigated the cost of ambiguity related to definitions of ecological units in ecology related to the general term (...) “community.” We did a meta-analysis of tests associated with two bodies of literature, Hubbell’s unified neutral theory of biodiversity and biogeography and Diamond’s assembly rules, that rely on a specific ecological unit that assumes that species are existing within a local area and that they have overlapping resource needs. We predicted that if ambiguous terminology is widespread, then researchers will have tested them with many different ecological units, that in addition some of these ecological units will violate the core assumptions of the theory, and finally that the overall level of support for a theory will be stronger if appropriate ecological units were used. We found that indeed multiple different ecological units were used in the literature to test both theories, with 65 percent appropriate ecological units for neutral theory tests, and only 6 percent for assembly rule tests. Finally, there was some evidence that the support for a theory depended on whether appropriate ecological units were used for neutral tests, but there was not enough data for the assembly rule tests. These results thus show that ambiguous terminology in ecology is having measurable effects on research and is not of solely philosophical concern. We advocate that authors be explicit in their writing and outline core assumptions of theories, that researchers apply these consistently in their tests, and that readers be attentive to what is written and cognizant of their potential biases. (shrink)

The critical focus of this paper is on a claim made explicitly by Gilbert Harman and accepted implicitly by numerous others, the claim that naturalism supports concurrent defense of scientific objectivism and moral relativism. I challenge the assumptions of Harman's ‘argument from naturalism' used to support this combination of positions, utilizing. Hilary Putnam’s ‘companions in guilt’ argument in order to counter it. The paper concludes that while domain-specific anti-realism is often warranted, Harman’s own views about the objectivity of facts (...) and the subjectivity of values are better seen as stemming from scientistic ideals of knowledge than from dictates of naturalism. Scientists qua scientists make value judgments, and setting aside scientistic assumptions and unrealizable conceptions of scientific objectivity should lead us to more symmetrical metaphilosophical conception of epistemic and ethical normativity than that which underlies Harman's account. (shrink)

In this essay, I term the dominant educational paradigm of our time as scientific education and subject it to historical analysis in order to bring its tacit racial, colonial and Eurocentric biases into view. I subsume this cluster of problems under the general heading of “the problem of scientific education”, a problem simultaneously submerged deeply in the invisible background of current education and across its foreground inasmuch as it conditions daily educational practices beyond educators’ awareness. The delicate (...) question to be answered is: enclosed as we are within a scientific framing of our educational system, how can we find an alternative way of looking at this educational system that will help us resolve the problem of colonial, racial and cultural subordinations inherent in its scientific framing? (shrink)

From the arguments I have presented, I hope it is clear that the distinction between basic and applied research is tenuous. Certain areas of research and methods may be favoured over others because of intrinsic biases, which are predictive of the type of application possible. Believing in the neutrality of pure knowledge is like wearing blinders: scientists need not be too concerned about the way in which the knowledge they generate is used. In my own case, this belief led (...) to my participation in a system of agriculture to which I do not subscribe. Scientists should be willing to take responsibility for how they function in the system as a whole. Given the social structure of science, it is difficult for basic researchers to see their connections with the larger issues, much less to control them. Perhaps new ways of constructing knowledge-generating societies will be necessary in order to encourage individual responsibility. (shrink)

November 2009’s announcement of the USPSTF’s recommendations for screening for breast cancer raised a firestorm of objections. Chief among them were that the panel had insufficiently valued patients’ lives or allowed cost considerations to influence recommendations. The publicity about the recommendations, however, often either simplified the actual content of the recommendations or bypassed significant methodological issues, which a philosophical examination of both the science behind screening recommendations and their import reveals. In this article, I discuss two of the leading ethical (...) considerations at issue in screening recommendations: respect for patient autonomy and beneficence and then turn to the most significant methodological issues raised by cancer screening: the potential biases that may infect a trial of screening effectiveness, the problem of base rates in communicating risk, and the trade-offs involved in a judgment of screening effectiveness. These issues reach more broadly, into the use of “evidence-based” medicine generally, and have important implications for informed consent. (shrink)

Strongly grounded in scientific knowledge, the instrument known as occupational exposure limits or threshold limit values has changed government modalities of exposure to hazardous chemicals in workplaces, transforming both the substance of the problem at hand and the power dynamics between the actors involved. Some of the characteristics of this instrument favor the interests of industries at the expense of employees, their representatives, and the authorities in charge of regulating these risks. First, this instrument can be analyzed as a (...) boundary object that has very different uses in space and time. In particular, it is increasingly masking its industrial origins to appear as an instrument that is almost exclusively based on scientific rationale. In the case of asbestos and its substitutes, the use of an instrument relying on scientific expertise generates a specific temporality of implementation that allows manufacturers to take advantage of periods during which regulations are either nonexistent or very loose. Finally, the choice of a technoscientific definition of the issues contributes to shifting the negotiations to a field where companies are in a position of strength and their opponents are weakened. (shrink)

How should emotions figure in scientific practice? I begin by distinguishing three broad answers to this question, ranging from pessimistic to optimistic. Confirmation bias and motivated numeracy lead us to cast a jaundiced eye on the role of emotions in scientific inquiry. However, reflection on the essential motivating role of emotions in geniuses makes it less clear that science should be evacuated of emotion. I then draw on Friedrich Nietzsche’s perspectivism to articulate a twenty-first century epistemology of science (...) that recognizes the necessity of emotion to inquiry but aims to manage the biases that emotions can introduce. Twenty-first century perspectivism is both social and (temporally) distal, helping it to overcome a paradox of self-critical inquiry. (shrink)