Lexicon

The constraints that define where a model applies and where it fails. Good explanations state their boundaries explicitly.

A system's tendency to fail suddenly when a threshold is crossed. Brittleness hides behind apparent stability.

The chain of operations that produces an outcome. Mechanisms are the difference between knowing that something happens and knowing how it happens.

The degree to which an explanation holds together without contradiction. Coherence is necessary but not sufficient for truth.

A state where terms are stable, distinctions are sharp, and the model can be reasoned with. Clarity is the foundation for honest disagreement.

The effort required to align many actors toward a shared goal. Coordination costs rise with scale, distance, and complexity.

When a system shows properties that cannot be reduced to any single part. Emergence is not magic, it is a mismatch between local rules and global behavior.

A state where a system filters out disconfirming evidence. Closure can protect coherence in the short term while weakening adaptation.

A disciplined recognition of what you do not know. It keeps explanations provisional and makes room for error without collapsing into cynicism.

The degree to which an explanation exposes underlying structure rather than surface description. Depth does not mean length, it means mechanism and constraint.

The property of a claim that allows it to be tested and possibly proven wrong. A claim that cannot fail is not yet in contact with reality.

Circular causal paths that amplify or dampen behavior. Feedback loops explain why systems can stabilize, oscillate, or spiral out of control.

A method that strips a problem down to irreducible facts and rebuilds from there. It resists inherited assumptions in favor of direct reasoning about what must be true.

A condition where different actors have access to different information. Asymmetry shapes incentives and distorts decision-making.

The slow divergence between an institution's stated purpose and its actual behavior. Drift often appears long before collapse.

Knowledge that works without necessarily explaining why. Many pre-scientific traditions were instrumentally correct and mechanistically opaque.

The extent to which a system can explain its own outputs. Interpretability is about tracing causes, not just achieving performance.

The simplification of a system so it can be measured and governed. Legibility often comes at the cost of local nuance.

A local optimum is the best solution in a neighborhood; the global optimum is the best overall. Systems often settle for local peaks because moving away is costly.

When the act of measuring distorts the thing being measured. Metrics can reshape behavior and erase what they cannot count.

A reminder that models are simplifications, not mirrors. A model can be useful without being complete or literal.

The act of condensing complex causality into a story. Compression is useful, but it can hide crucial variables.

Orthodoxy centers correct belief, orthopraxy centers correct practice. Systems often choose one to simplify enforcement.

When early choices lock in later outcomes, even if better alternatives exist. History becomes a constraint on what is now possible.

A qualitative change that occurs when a system crosses a threshold. Phase transitions explain why slow inputs can yield sudden outcomes.

The practice of explaining a system solely in terms of its parts. Useful for isolated domains, misleading when interactions produce emergent effects.

Ritual creates shared expectations, which reduces coordination cost. It is an infrastructure layer, not just a symbolic act.

A system's ability to absorb shocks without losing its core function. Robustness is often purchased through redundancy and slack.

A rule that describes how a system changes as it grows. Scaling laws explain why size is not just more of the same.

Consequences that follow from the consequences. Systems thinking pays attention to these indirect effects because they often dominate long-term outcomes.

Forces that favor certain behaviors or structures over others. Over time, selection pressure edits systems into new forms.

The process of turning ambiguity into a coherent frame for action. Sensemaking is less about truth than about coordination under uncertainty.

The distinction between meaningful patterns and random variation. Good explanations separate the two without pretending noise can be eliminated.

A repeatable method for coordinating behavior. Ritual, law, and bureaucracy are social technologies in disguise.

A visual or conceptual representation of components and their relationships. The map is not the system, but it can reveal feedback, bottlenecks, and blind spots.

A way of describing the unavoidable tensions between competing goals. Choosing one axis reshapes the rest of the system.