Why do people who disagree about one subject tend to disagree about other subjects as well? In this paper, we introduce a model to explore this phenomenon of ‘epistemic factionization’. Agents attempt to discover the truth about multiple propositions by testing the world and sharing evidence gathered. But agents tend to mistrust evidence shared by those who do not hold similar beliefs. This mistrust leads to the endogenous emergence of factions of agents with multiple, highly correlated, polarized beliefs.

My aim in this paper is to engage with C. Thi Nguyen’s characterization of the echo chamber and to propose two things. First, I argue that a proper reading of his concept of echo chamber should make use of the notion of ignorance in the form of a structural epistemic insensitivity. My main contention is that ignorance as a substantive structural practice accounts for the epistemically deleterious effects of echo chambers. Second, I propose that from the talk of ignorance we (...) should be able to see echo chambers in terms of their more harmful impacts in our daily lives. To do that, I argue that we should think of echo chambers as tools to promote hermeneutical domination. If my representation of Nguyen’s concept is accurate, I believe we can see some important theoretical consequences stemming from the way Nguyen understands it. (shrink)

Following Anthony Downs’s classic economic analysis of democracy, it has been widely noted that most voters lack the incentive to be well-informed. Recent empirical work, however, suggests further that political partisans can display selectively lazy or biased reasoning. Unfortunately, political knowledge seems to exacerbate, rather than mitigate, these tendencies. In this paper, I build on these observations to construct a more general skeptical challenge which affects what I call creedal beliefs. Such beliefs share three features: (i) the costs to the (...) individual of being wrong are negligible, (ii) the beliefs are subject to social scrutiny, and (iii) the evidential landscape relevant to the beliefs is sufficiently complex so as to make easy verification difficult. Some philosophers and social scientists have recently argued that under such conditions, beliefs are likely to play a signaling, as opposed to a navigational role, and that our ability to hold beliefs in this way is adaptive. However, if this is right, I argue there is at least a partial debunker for such beliefs. Moreover, this offers, I suggest, one way to develop the skeptical challenge based on etiological explanation that John Stuart Mill presents in On Liberty when he claims that the same causes which lead someone to be a devout Christian in London would have made them a Confucian in Peking. Finally, I contend that this skeptical challenge is appropriately circumscribed so that it does not over-extend in an implausible way. (shrink)

Conviction Narrative Theory (CNT) is a theory of choice underradical uncertainty– situations where outcomes cannot be enumerated and probabilities cannot be assigned. Whereas most theories of choice assume that people rely on (potentially biased) probabilistic judgments, such theories cannot account for adaptive decision-making when probabilities cannot be assigned. CNT proposes that people usenarratives– structured representations of causal, temporal, analogical, and valence relationships – rather than probabilities, as the currency of thought that unifies our sense-making and decision-making faculties. According to CNT, (...) narratives arise from the interplay between individual cognition and the social environment, with reasoners adopting a narrative that feels “right” to explain the available data; using that narrative to imagine plausible futures; and affectively evaluating those imagined futures to make a choice. Evidence from many areas of the cognitive, behavioral, and social sciences supports this basic model, including lab experiments, interview studies, and econometric analyses. We identify 12 propositions to explain how the mental representations (narratives) interact with four inter-related processes (explanation, simulation, affective evaluation, and communication), examining the theoretical and empirical basis for each. We conclude by discussing how CNT can provide a common vocabulary for researchers studying everyday choices across areas of the decision sciences. (shrink)

Epistemic injustice occurs when we fail to appropriately respect others as epistemic agents. Philosophers building on the work of Miranda Fricker, who introduced the concept, have focused on epistemic injustices involving certain social categories, particularly race and gender. Can there be epistemic injustice attached to political conviction and affiliation? I argue yes: politics can be a salient social category that draws epistemic injustice. Epistemic injustices might also be intersectional, based on the overlap of politics and some other identity category like (...) race or sex. Further, and more provocatively, I argue that political minorities in academia, in particular conservatives and libertarians, are most likely the victims of epistemic injustice on the basis of their politics. Such epistemic injustices might even be routine. Although more limited in scope and severity than other forms of epistemic injustice, political epistemic injustices in academia ought to be of special concern from a standpoint of social justice because of the academy’s central role in knowledge production and dissemination. (shrink)

The current research investigates how prior preferences affect causal learning. Participants were tasked with repeatedly choosing policies (e.g., increase vs. decrease border security funding) in order to maximize the economic output of an imaginary country and inferred the influence of the policies on the economy. The task was challenging and ambiguous, allowing participants to interpret the relations between the policies and the economy in multiple ways. In three studies, we found evidence of motivated reasoning despite financial incentives for accuracy. For (...) example, participants who believed that border security funding should be increased were more likely to conclude that increasing border security funding actually caused a better economy in the task. In Study 2, we hypothesized that having neutral preferences (e.g., preferring neither increased nor decreased spending on border security) would lead to more accurate assessments overall, compared to having a strong initial preference; however, we did not find evidence for such an effect. In Study 3, we tested whether providing participants with possible functional forms of the policies (e.g., the policy takes some time to work or initially has a negative influence but eventually a positive influence) would lead to a smaller influence of motivated reasoning but found little evidence for this effect. This research advances the field of causal learning by studying the role of prior preferences, and in doing so, integrates the fields of causal learning and motivated reasoning using a novel explore‐exploit task. (shrink)