Welcome to In Search of Metis. The standard way of thinking about the world has a very strong pull. Even if we don’t consciously choose it, most of us end up defaulting to it. It’s the unwritten rule of our time: the idea that reality should be made measurable, standardized, organized, and controllable from above. That more rules, plans, metrics, and expert systems are obviously better. This is Techne — abstract, centralized knowledge designed for legibility and control. There’s another way of knowing that gets much less attention: Metis. This is practical, local, experience-based wisdom. It’s messy, contextual, and hard to write down or scale. It lives in the details, in what actually works on the ground, in the accumulated judgment of people dealing with real complexity. A big part of why I made this group is to explore that tension. We’ll start by looking at how states, bureaucracies, and large institutions simplify the world in order to manage it — through maps, surnames, statistics, categories, and grand plans. We draw from James C. Scott’s Seeing Like a State, Robert Caro’s studies of raw power, Hayek’s knowledge problem, and Weber’s work on bureaucracy to see why this simplification happens and what it costs. From there we examine how the real world actually behaves — non-linear, full of power laws, randomness, and extremes — using Nassim Taleb’s ideas on antifragility and skin in the game. Then we move into how to upgrade our own perception and behavior through powerful reframes, better approaches to motivation, and breaking unhelpful patterns. Finally, we zoom out with generational cycles and the Fourth Turning to understand the larger historical moment we’re living in. The through-line is this: The dominant way of thinking (Techne) pulls strongly toward simplification and control. But in uncertain, complex environments, the more effective approach is usually rooted in metis — practical, adaptive, local knowledge. This course is about learning to see that pull more clearly, understanding its strengths and its blind spots, and developing the kind of wisdom that tends to work better when things get difficult or unpredictable.