Psychology Reader

Population Size and Cultural Complexity: A Critique

Krist Vaesen, Mark Collard, Richard Cosgrove, and Wil Roebroeks · 2016 · Proceedings of the National Academy of Sciences

Role
Critical reappraisal
Difficulty
Challenging
Full work length
7 pages
Type
Journal article

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Reading focus

Syllabus: How Are Cultures Learned, Transmitted and Changed?

Identify whether each objection concerns a definition, a learning assumption, an observation or the generality of a claim.

Why you’re reading it. Practice revising the scope of an explanation without treating criticism as a universal reversal.

A question to consider. How could you test access to expertise and environmental demand as competing explanations for changes in a toolkit?

Why this reading

Vaesen and colleagues examine what would justify using a demographic model to explain an archaeological pattern. They assess learning assumptions, definitions of complexity and the empirical record separately, showing why a model’s internal result and its historical application are different claims.

Before you read

Skill, transmission difficulty, number of tool parts and the size of a cultural repertoire are different measurements. The paper concentrates on influential models and their archaeological uses. A model can reveal a possible process even when the evidence does not identify that process in a particular case.

Read for

  1. Follow how alternative learning rules change predictions and how the authors evaluate the match between modeled complexity and observed artifacts.
  2. Distinguish their objections to the Tasmanian interpretation from their broader claims about demographic explanation.

Consider afterwards

  1. What observation would show that a model’s learning rule operated in the historical case being explained?
  2. Could greater specialization and a larger pool of learners produce similar correlations through different mechanisms?

Editorial context

This critique is part of an unresolved exchange, not a final demonstration that demography never matters. Henrich and colleagues defend a broader range of models and distinguish effective learning populations from census counts. In their reply, Vaesen and colleagues emphasize matching archaeological cases to a model’s conditions. The disagreement is most useful when each claim is tied to its definition, evidence and level of explanation.