An approach that applies evolutionary theory and population‑level models to explain long‑term patterns of cultural change and artifact variation by treating cultural traits as units that vary, are transmitted, and are subject to processes analogous to selection, drift and transmission biases, without presuming purely genetic causation.

Principle

Cultural traits vary within and between populations and their frequency dynamics can be modeled using population‑level processes (variation, transmission, selection, drift); such models generate testable hypotheses about trait distributions over time and space.

Demonstration

Illustrative scenario → Situation: Temporal sequences of ceramic styles from several contemporaneous villages show divergent frequency trajectories. Recognition: Analysts quantify trait frequencies and compare against neutral (drift) and biased‑transmission models. Action: Model fitting identifies whether drift, conformist transmission or selective adoption best explains observed change. Consequence: The study yields falsifiable inferences about the dominant cultural transmission processes and suggests further tests (e.g., network analysis of contacts).

Misapplication

Conflating cultural evolution with biological genetic evolution — for example, assuming trait change is driven by genetic selection or that population‑genetic formalism applies unchanged at the individual level. The error is failing to specify the transmission mechanisms and social learning biases that make evolutionary models applicable to culture.

Consequence

Provides formal, testable frameworks and quantitative tools for explaining macro‑scale patterns in artifact variation and cultural dynamics; when well‑specified, it clarifies which processes are plausible drivers of change, but misapplied models can produce misleading causal inferences about mechanisms.

Reversal

Where change is dominated by single innovators, institutionally enforced practices, or rapid, intentional policy decisions, population‑level evolutionary models may be inappropriate or require modification to include directed transmission, strong biases, or institutional constraints.

Boundary

Clearly within: population‑level, model‑based explanations of trait frequency dynamics and cultural transmission. Boundary case: small‑scale innovations whose spread is contingent on specific social networks. Clearly outside: purely hermeneutic readings of symbolism that do not operationalize transmission or population processes.

Semantic Tension

Population‑level modeling and statistical explanation ↔ interpretive, agent‑centred accounts emphasizing intention and meaning — evolutionary archaeology privileges aggregate dynamics and formal hypotheses, which may underplay individual motives and symbolic interpretation.

Synthesis

Evolutionary archaeology contributes formal, comparative tools for identifying which population‑level processes plausibly shape cultural change; its results are most informative when integrated with explicit models of social learning, network structure and contextual ethnographic information.