Reality is beyond human reach | Hilary Lawson and Robert Lawrence Kuhn

Quick Overview

Hilary Lawson argues that the theory of closure, which dictates that what we know about reality must be contained within our current frameworks, is flawed because it incorrectly assumes that facts about objects transcend the ways we hold them, leading to an inability to fully describe the open nature of the world; he suggests that this closure is a social norm, not a fundamental constraint, and that we must acknowledge the limitations of our current frameworks to truly engage with reality's openness.

Key Points: Lawson rejects the term 'anti-realist' for his philosophy, finding it paradoxical since one cannot deny reality without presupposing it. He criticizes the idea that facts about objects transcend the ways we hold them, arguing that our theories and language impose constraints on our understanding of reality. Lawson suggests that the theory of closure, often used in epistemology, is fundamentally about social norms and the desire for consensus rather than an objective constraint on reality itself. He contrasts his view with model-dependent realism (like Stephen Hawking's), asserting that our frameworks, whether scientific or linguistic, are tools for intervention, not exhaustive descriptions of ultimate reality. The limitation Lawson discusses is existential, stemming from our need to create identity through these frameworks, which prevents us from seeing the world as fundamentally open. He argues that we can refine our models, but we should not mistake the model's effectiveness for a complete description of reality, which remains open.

Context: This is an interview between philosopher Hilary Lawson and Robert Lawrence Kuhn, host of 'Closer to Truth,' focusing on Lawson's philosophical stance, particularly regarding realism, anti-realism, and the concept of 'closure' in epistemology. The discussion centers on how human frameworks and language limit our access to an objective reality, contrasting this with views that suggest our current models adequately capture truth.