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A podcast about what we think as well as how and why we think it.Themes and summary (AI-generated based on podcaster-provided show and episode descriptions):
➤ reflective vs intuitive thinking • measuring reflection/Cognitive Reflection Test psychometrics • rationality and judgment • links between reflection, philosophy, and belief • implicit bias and debiasing • moral dilemmas/utilitarianism • AI “fast/slow” reasoning systemsThis podcast explores what “reflective thinking” is, how it differs from intuitive judgment, and why that distinction matters for explaining human beliefs and decisions. Much of the content sits at the intersection of philosophy and cognitive science, using both conceptual analysis and empirical research to clarify how reflection is defined, measured, and interpreted in scientific and philosophical debates.
Across the episodes, the host frequently works through academic papers—often by reading and explaining them—covering topics such as dual-process theories, cognitive reflection tests, and methodological questions about whether common tasks accurately capture reflective reasoning. A recurring theme is the possibility that reflection is not uniformly beneficial: reflective reasoning can improve judgment in some contexts while also serving goals like defending identity-linked beliefs, and effective cognition may involve switching between fast, intuitive processes and slower, more deliberate reasoning depending on aims and constraints.
The podcast also applies these ideas to substantive domains. It examines how reflective thinking relates to moral judgment in dilemma studies, how psychological and demographic factors correlate with philosophers’ views on classic thought experiments, and how exposure to philosophical content might interact with measured reflectiveness. Other episodes consider socially salient topics—including implicit bias measurement and communication, public health compliance during COVID-19, and cross-cultural links between religiosity, atheism or apostasy, and reflection—emphasizing psychometrics, research design, and cautious inference.
Overall, listeners can expect research-driven discussion of reasoning, rationality, self-knowledge, and the tools used to study thought and belief in both humans and, at times, intelligent systems.