Public discussions of political and social issues are often characterized by deep and persistent polarization. In social psychology, it’s standard to treat belief polarization as the product of epistemic irrationality. In contrast, we argue that the persistent disagreement that grounds political and social polarization can be produced by epistemically rational agents, when those agents have limited cognitive resources. Using an agent-based model of group deliberation, we show that groups of deliberating agents using coherence-based strategies for managing their limited resources tend (...) to polarize into different subgroups. We argue that using that strategy is epistemically rational for limited agents. So even though group polarization looks like it must be the product of human irrationality, polarization can be the result of fully rational deliberation with natural human limitations. (shrink)
Industry is a major source of funding for scientific research. There is also a growing concern for how it corrupts researchers faced with conflicts of interest. As such, the debate has focused on whether researchers have maintained their integrity. In this article we draw on both the history of medicine and formal modeling to argue that given methodological diversity and a merit-based system, industry funding can bias a community without corrupting any particular individual. We close by considering a policy solution (...) that may seem to promote unbiased inquiry but that actually exacerbates the problem without additional restrictions. (shrink)
The Hong and Page ‘diversity trumps ability’ result has been used to argue for the more general claim that a diverse set of agents is epistemically superior to a comparable group of experts. Here we extend Hong and Page’s model to landscapes of different degrees of randomness and demonstrate the sensitivity of the ‘diversity trumps ability’ result. This analysis offers a more nuanced picture of how diversity, ability, and expertise may relate. Although models of this sort can indeed be suggestive (...) for diversity policies, we advise against interpreting such results overly broadly. (shrink)
There are some philosophical questions that can be answered without attention to the social context in which evidence is produced and distributed.ing away from social context is an excellent way to ignore messy details and lay bare the underlying structure of the limits of inference. Idealization is entirely appropriate when one is essentially asking: In the best of all possible worlds, what am I entitled to infer? Yet, philosophers’ concerns often go beyond this domain. As an example I examine the (...) debate on mechanistic evidence and then reevaluate a canonical case study in this debate. I show that for the assessment of actual evidence, produced in a world that is far from ideal, omission of the social aspects of medical epistemology leads philosophers to draw the wrong lessons from cases they take as paradigmatic cases for their views. I close by arguing that social epistemology provides an avenue to incorporate these complications and provides the necessary framework to understand medical evidence. (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)
Polarization is a topic of intense interest among social scientists, but there is significant disagreement regarding the character of the phenomenon and little understanding of underlying mechanics. A first problem, we argue, is that polarization appears in the literature as not one concept but many. In the first part of the article, we distinguish nine phenomena that may be considered polarization, with suggestions of appropriate measures for each. In the second part of the article, we apply this analysis to evaluate (...) the types of polarization generated by the three major families of computational models proposing specific mechanisms of opinion polarization. (shrink)
Agent-based models have played a prominent role in recent debates about the merits of democracy. In particular, the formal model of Lu Hong and Scott Page and the associated “diversity trumps ability” result has typically been seen to support the epistemic virtues of democracy over epistocracy (i.e., governance by experts). In this paper we first identify the modeling choices embodied in the original formal model and then critique the application of the Hong-Page results to philosophical debates on the relative merits (...) of democracy. In particular we argue that the “best-performing agents” in Hong-Page model should not be interpreted as experts. We next explore a closely related model in which best-performing agents are more plausibly seen as experts and show that the diversity trumps ability result fails to hold. However, with changes in other parameters (such as the deliberation dynamic) the diversity trumps ability result is restored. The sensitivity of this result to parameter choices illustrates the complexity of the link between formal modeling and more general philosophical claims; we use this debate as a platform for a more general discussion of when and how agent-based models can contribute to philosophical discussions. (shrink)
Polarization is a topic of intense interest among social scientists, but there is significant disagreement regarding the character of the phenomenon and little understanding of underlying mechanics. A first problem, we argue, is that polarization appears in the literature as not one concept but many. In the first part of the article, we distinguish nine phenomena that may be considered polarization, with suggestions of appropriate measures for each. In the second part of the article, we apply this analysis to evaluate (...) the types of polarization generated by the three major families of computational models proposing specific mechanisms of opinion polarization. (shrink)
“Female sexual dysfunction” is the type of contested disease that has sparked concern about the role of the pharmaceutical industry in medical science. Many policies have been proposed to manage industry influence without carefully evaluating whether the proposed policies would be successful. We consider a proposal for incorporating citizen stakeholders into scientific research and show, via a detailed case study of the pharmaceutical regulation of flibanserin, that such programs can be co-opted. In closing, we use Holman’s asymmetric arms race framework (...) as a tool for evaluating policies in industry-funded science. (shrink)
Arguments that medical decision making should rely on a variety of evidence often begin from the claim that meta-analysis has been shown to be problematic. In this paper, I first examine Stegenga’s argument that meta-analysis requires multiple decisions and thus fails to provide an objective ground for medical decision making. Next, I examine three arguments from social epistemologists that contend that meta-analyses are systematically biased in ways not appreciated by standard epistemology. In most cases I show that critiques of meta-analysis (...) fail to account for the full range of meta-analytic procedures. In the remainder of cases, I argue that the critiques identify problems that do not uniquely cut against meta-analysis. I close by suggesting one reason why it may be pragmatically rational to violate the principle of total evidence and by outlining the criteria for a successful argument against meta-analysis. A set of criteria I contend remain unmet. (shrink)
Stephen John has recently suggested that the ethics of communication yields important insights as to how values should be incorporated into science. In particular, he examines cases of “wishful speaking” in which a scientific actor endorses unreliable conclusions in order to obtain the consequences of the listener treating the results as credible. He concludes that what is wrong in these cases is that the speaker surreptitiously relies on values not accepted by the hearer, violating what he terms “the value-apt ideal”. (...) I expand on this view by integrating into it Miranda Fricker’s account of testimonial injustice. I find testimonial injustice can arise in a manner unanticipated by Fricker, specifically that a credibility excess given to a speaker typically reduces the ability of others in the epistemic community to transmit knowledge, a phenomenon I term “collateral epistemic injustice”. I argue that this possibility entails that receivers have an ethical obligation to assign credibility judiciously. A further consequence of this view is that the value-apt ideal is insufficient. Because audience members have an obligation to assign credibility judiciously, a speaker cannot merely rely on shared values, they must also be open about the extent to which their conclusions depend on those values. Thus, both wishful speaking and obscuring the value-dependent nature of a conclusion makes one an unreliable source of information. Accordingly, other community members have an ethical obligation to ignore a speaker that frequently engages in either. (shrink)
This article aims to describe the last 10 years of the collaborative scientific endeavors on polarization in particular and collective problem-solving in general by our multidisciplinary research team. We describe the team’s disciplinary composition—social psychology, political science, social philosophy/epistemology, and complex systems science— highlighting the shared and unique skill sets of our group members and how each discipline contributes to studying polarization and collective problem-solving. With an eye to the literature on team dynamics, we describe team logistics and processes that (...) we believe make our multidisciplinary team persistent and productive. We emphasize challenges and difficulties caused by disciplinary differences in terms of terminology, units/levels of analysis, methodology, and theoretical assumptions. We then explain how work disambiguating the concepts of polarization and developing an integrative theoretical and methodological framework with complex systems perspectives has helped us overcome these challenges. We summarize the major findings that our research has produced over the past decade, and describe our current research and future directions. Last, we discuss lessons we have learned, including difficulties in a “three models” project and how we addressed them, with suggestions for effective multidisciplinary team research. (shrink)
The standard philosophical definition of placebos offered by Grünbaum is incompatible with Cartwright’s conception of randomized clinical trials. I offer a modified account of placebos that respects this role and clarifies why many current medical trials fail to warrant the conclusions they are typically seen as yielding. I then consider recent changes to guidelines for reporting medical trials and show that pessimism over parsing out the cause of “unblinding” is premature. Specifically, using a trial of antidepressants, I show how more (...) sophisticated statistical analyses can parse out the source of such effects and serve as an alternative to placebo control. (shrink)
In the original publication of the article, the Acknowledgement section was inadvertently not included. The Acknowledgement is given in this Correction.
Numerous philosophers of science have argued that the incentive structure of science is a major contributor to the replication crisis. In this paper I review FiveThirtyEight’s election forecasting model and show that it confronts similar problems in political polling and successfully mitigates them, not by changing the incentives, but by weighting a pollster’s effect on the model by their past reliability. I argue that a similar weighting procedure holds a promising approach to addressing the replication crisis in science.
In a series of formal studies and less formal applications, Hong and Page offer a ‘diversity trumps ability’ result on the basis of a computational experiment accompanied by a mathematical theorem as explanatory background (Hong & Page 2004, 2009; Page 2007, 2011). “[W]e find that a random collection of agents drawn from a large set of limited-ability agents typically outperforms a collection of the very best agents from that same set” (2004, p. 16386). The result has been extremely influential as (...) an epistemic justification for diversity policy initiatives. Here we show that the ‘diversity trumps ability’ result is tied to the particular random landscape used in Hong and Page’s simulation. We argue against interpreting results on that random landscape in terms of ‘ability’ or ‘expertise.’ These concepts are better modeled on smother and more realistic landscapes, but keeping other parameters the same those are landscapes on which it is groups of the best performing that do better. Smoother landscapes seem to vindicate both the concept and the value of expertise. Change in other parameters, however, also vindicates diversity. With an increase in the pool of available heuristics, diverse groups again do better. Group dynamics makes a difference as well; simultaneous ‘tournament’ deliberation in a group in place of the ‘relay’ deliberation in Hong and Page’s original model further emphasizes an advantage for diversity. ‘Tournament’ 2 dynamics particularly shows the advantage of mixed groups that include both experts and non-experts. As a whole, our modeling results suggest that relative to problem characteristics and conceptual resources, the wisdom of crowds and the wisdom of the few each have a place. We regard ours as a step toward attempting to calibrate their relative virtues in different modelled contexts of intellectual exploration. (shrink)
We motivate a picture of social epistemology that sees forgetting as subject to epistemic evaluation. Using computer simulations of a simple agent-based model, we show that how agents forget can have as large an impact on group epistemic outcomes as how they share information. But, how we forget, unlike how we form beliefs, isn’t typically taken to be the sort of thing that can be epistemically rational or justified. We consider what we take to be the most promising argument for (...) this claim and find it lacking. We conclude that understanding how agents forget should be as central to social epistemology as understanding how agents form beliefs and share information with others. (shrink)
We motivate a picture of social epistemology that sees forgetting as subject to epistemic evaluation. Using computer simulations of a simple agent-based model, we show that how agents forget can have as large an impact on group epistemic outcomes as how they share information. But, how we forget, unlike how we form beliefs, isn’t typically taken to be the sort of thing that can be epistemically rational or justified. We consider what we take to be the most promising argument for (...) this claim and find it lacking. We conclude that understanding how agents forget should be as central to social epistemology as understanding how agents form beliefs and share information with others. (shrink)
It has been argued that naturalizing the mind will result in the elimination of the ontology of folk psychology (e.g. beliefs and desires). This paper draws from a wide range of empirical literature, including from developmental and cross-cultural psychology, in building an argument for a position dubbed restrictive materialism . The position holds that while the ontology of folk psychology is overextended, there is a restricted domain in which the application of the folk ontology remains secure. From the evidence of (...) developmental uniformity and cross-cultural ubiquity of beliefs and desires, it is argued that the ontology (but not the principles) of folk psychology may be incorrigible. Thus, even if radically false as a description of first-order brain processes, beliefs and desires might be an unavoidable second-order brain process. Given that the domain of psychology is how humans think, if the above argument is correct, then beliefs and desires will continue to earn their rightful place in the ontology of any future psychology, in just the same way as any other scientific entity. (shrink)
Philosophy of medicine has traditionally examined two issues: the scientific ontology for medicine and the epistemic significance of the types of evidence used in medical research. In answering each question, philosophers have typically brought to bear tools from traditional analytic philosophy. In contrast, this volume explores medical knowledge from the perspective offered by social epistemology.While many of the same issues are addressed, the approach to these issues generates both fresh questions and new insights into old debates. In addition, the broader (...) purview offered by social epistemology opens up opportunities to address new topics such as the role of consensus conferences, epistemic injustice, the value of medical knowledge, continuing medical education, and industry funding. This article situates and summarizes the contributions to this special issue. (shrink)
This paper describes one possible origin point for fraudulent behavior within the American pharmaceutical industry. We argue that during the late nineteenth century therapeutic reformers sought to promote both laboratory science and increasingly systematized forms of clinical experiment as a new basis for therapeutic knowledge. This process was intertwined with a transformation in the ethical framework in which medical science took place, one in which monopoly status was replaced by clinical utility as the primary arbiter of pharmaceutical legitimacy. This new (...) framework fundamentally altered the set of epistemic virtues—a phrase we draw from the philosophical field of virtue epistemology—considered necessary to conduct reliable scientific inquiry regarding drugs. In doing so, it also made possible new forms of fraud in which newly emergent epistemic virtues were violated. To make this argument, we focus on the efforts of Francis E. Stewart and George S. Davis of Parke, Davis & Company. Therapeutic reformers within the pharmaceutical industry, such as Stewart and Davis, were an important part of the broader normative and epistemic transformation we describe in that they sought to promote laboratory science and systematized clinical trials toward the twin goals of improving pharmaceutical science and promoting their own commercial interests. Yet, as we suggest, Parke, Davis & Company also serves as an example of a company that violated the very norms that Stewart and Davis helped introduce. We thus seek to describe one possible origin point for the widespread fraudulent practices that now characterize the pharmaceutical industry. We also seek to describe an origin point for why we conceptualize such practices as fraudulent in the first place. (shrink)