Upon Reflection, Ep. 5: Reflective Reasoning For Real People (Dissertation Overview)

Welcome to Upon Reflection. In this episode, I review the major take-aways and findings from my dissertation titled, “Reflective Reasoning For Real People”. I explain what cognitive scientists mean by terms like “reflective reasoning”, how reflection is measured empirically, how reflection can either help or hinder our reasoning, how more reflective philosophers tend toward certain philosophical beliefs, and how reflection may help us retrain our implicit biases.

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On Whether Reflection Is A Skill

In my last post, I considered whether reflective reasoning is a virtue. One possibility was that reflection cannot be a virtue. However, if reflection is not a virtue, then we need another account of why many people value reflection. One such account might be that reflection is a skill. In this post, I’ll briefly consider some reasons for and against thinking that reflection is a skill.

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On Whether Reflection Is A Virtue


Some philosophers think of rationality in terms of virtue. For them, the rational thing to do is what the epistemically virtuous person would do. One type of reasoning that I study is reflective reasoning in which we step back and reconsider a gut reaction. So I have found myself asking, “Is reflective reasoning a virtue?” In this post, I’ll briefly consider reasons for answering “yes” and reasons for answering “no.” Continue reading On Whether Reflection Is A Virtue

Upon Reflection Podcast Ep. 1: What We Can Infer About Implicit Bias

Welcome to the first episode of Upon Reflection, a podcast about what we think as well as how and why we think it.

A screenshot of the first page of the paper "What We Can (And Can't) Infer About Implicit Bias From Debiasing Experiments".

In this podcast, I’ll be reading my paper entitled, “What We Can (And Can’t) Infer About Implicit Bias From Debiasing Experiments“. I argue that implicit bias is not entirely unconscious or involuntary, but it probably is associative. As with all of my papers, the free preprint of the paper can be found on my CV at byrdnick.com/cv under “Publications“.

If this sounds like the kind of research that you want to hear more about, you can subscribe to Upon Reflection wherever you find podcasts. You can also find out more about me and my research on Twitter via @byrd_nick, or on Facebook via @byrdnick. If you end up enjoying the Upon Reflection podcast, then feel free to tell people about it, online, in person, or in your ⭐️⭐️⭐️⭐️⭐️ review.

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New Paper: What We Can (And Can’t) Infer About Implicit Bias From Debiasing Experiments

Synthese has just published one of my papers on implicit bias. As with all of my papers, you can find a link to the free preprint on my CV: byrdnick.com/cv. The final, corrected, and typeset version is on Synthese’s website and the audio version is on my podcast. In this post, you will find a non-technical overview of the paper’s main point and then the TLDR explainer.

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A Dissertation About Reflective Reasoning in Philosophy, Morality, & Bias


One of the things that I worked on in 2018 was a dissertation about the roles of reflective reasoning in philosophy, morality, and bias. Pending a follow-up study for one chapter, every chapter is written and has enjoyed at least one round of comments—and some of the chapters are under review. As the chapters find homes in journals, I will be sure to post preprints and links to the online publication on my blog and in my social media feeds. So, ya know, follow those if you want more updates. In this post, I’ll give you drafts of the abstracts for each chapter, so that you can get a birds-eye view of the dissertation project.†

[Update: audio and video of the introduction to the dissertation defense is now available.]

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50+ Philosophy Podcasts


Philosophy takes many forms. So do its podcasts. Here are some of the most popular philosophy podcasts that I have found. I listen to almost all of them, so feel free to contact me if you have questions that are not answered in each podcast’s description below.

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