In this discussion, David B. Kinney, an Omidyar Postdoctoral Fellow at SFI and expert in the philosophy of science, sheds light on the intricate relationship between science and philosophy. He explores radical ideas like rational ignorance and the biases that influence scientific inquiry. The conversation delves into causation and probability, particularly in astrobiology, while highlighting the significance of cognitive biases shaped by evolutionary dynamics. Kinney advocates for collaboration between scientific and philosophical communities to tackle systemic inequality and the limitations of human understanding.
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Quick takeaways
The perception of science as purely objective is challenged by the recognition of inherent human biases and social contexts influencing scientific inquiry.
A pragmatic approach is essential for tackling scientific questions, suggesting that the granularity of causal explanations should be contextually tailored.
Re-establishing collaboration between philosophy and science is vital for addressing complex phenomena and enhancing our understanding of knowledge acquisition.
Deep dives
The Contextual Nature of Causality
Philosophers often grapple with the challenge of determining the appropriate level of granularity in causal explanations. This level of detail is essential for effectively addressing specific scientific questions, highlighting the need to specify the context in which these inquiries arise. A pragmatic approach is advocated, suggesting that solving scientific problems requires tailoring the depth of analysis to the particular applications at hand. Thus, understanding causality is not a universal or fixed pursuit; rather, it becomes meaningful only within a defined context relevant to the problem being solved.
The Evolving Role of Science and Bias
Science is traditionally perceived as an objective discipline, firmly grounded in cause-and-effect principles. However, recent criticisms emphasize that scientific methods are conducted by flawed human actors operating within social institutions, casting doubt on the absoluteness of scientific authority. This interplay between science and its sociocultural context suggests that knowledge is not just a product of empirical investigation but is also influenced by biases and limitations inherent in human understanding. Addressing the fundamental questions about our universe necessitates reevaluating the relationship between science and philosophy to navigate these complexities effectively.
Revisiting Philosophical Perspectives in Science
The integration of philosophical inquiry with scientific investigation is proposed as vital for sound interpretations of complex phenomena. Specific issues, such as understanding causation and existential questions like the search for extraterrestrial life, benefit from re-establishing the dialogue between philosophy and science. This interaction fosters a richer comprehension of knowledge and the methods through which we acquire it. By challenging established paradigms and expanding the questions we ask, both disciplines can enhance their efforts to elucidate the complexities of the world.
Causal Modeling and Its Implications
Causal modeling serves as a critical framework for understanding relationships within complex systems, utilizing graph theory and probability theory. This approach allows for the specification of causal relationships in a clear and quantitatively manageable manner. In the context of scientific inquiries, refining these models requires careful consideration of which variables to include and their appropriate granularity. As such, the causal Markov condition plays a pivotal role in ensuring that models accurately reflect observed data and relationships within the complex systems under study.
Rational Ignorance and Societal Implications
The concept of rational ignorance underscores the notion that individuals in elite groups may choose to remain uninformed about social inequalities to preserve their privileges. This perspective challenges traditional views in epistemology and economics that advocate for the relentless pursuit of knowledge. By adopting alternative models of rationality, the argument positions those who avoid uncomfortable truths as acting in a rational manner, thereby reframing the discussion around privilege and knowledge. Direct interventions focusing on structural inequalities can be far more effective than solely attempting to educate privileged groups about their advantages.
Science is often seen as a pure, objective discipline — as if it all rests neatly on cause and effect. As if the universe acknowledges a difference between ideal categories like “biology” and “physics.” But lately, the authority of science has had to reckon with critiques that it is practiced by flawed human actors inside social institutions. How much can its methods really disclose? Somewhere between the two extremes of scientism and the assertion that all knowledge is a social construct, real scientists continue to explore the world under conditions of uncertainty, ready to revise it all with deeper rigor.
For this great project to continue in spite of our known biases, it’s helpful to step back and ask some crucial questions about the nature, limits, and reliability of science. To answer the most fundamental questions of our cosmos, it is time to bring back the philosophers to articulate a better understanding of how it is that we know what we know in the first place. Some questions — like the nature of causation, where we should look for aliens, and why we might rationally choose not to know important information — might not be answerable without bringing science and philosophy back into conversation with each other.
This week’s guest is David Kinney, an Omidyar Postdoctoral Fellow here at SFI whose research focuses on the philosophy of science and formal epistemology. We talk about his work on rational ignorance, explanatory depth, causation, and more on a tour of a philosophy unlike what most of us may be familiar with from school — one thriving in collaboration with the sciences.