When it pays to teach: a population threshold for dedicated teaching
Hirotaka Goto, Joshua B. Plotkin

TL;DR
This paper presents a mathematical model showing that societies benefit from dedicated teachers only when the population exceeds a certain size, with optimal teacher proportions varying based on population and task complexity.
Contribution
It introduces a simple, tractable model analyzing the conditions under which dedicated teaching is advantageous, highlighting a population threshold and optimal teacher allocation.
Findings
A population must exceed a critical size for dedicated teaching to be beneficial.
The peak demand for teachers occurs at an intermediate population size, not exceeding half the population.
Teacher allocation complexity increases with population size and task complexity.
Abstract
Teachers hold a prominent place in modern societies, particularly where education is compulsory and widely institutionalized. This ubiquity obscures an underlying question: why do societies designate certain individuals exclusively for the instruction of others? This question is especially enigmatic for dedicated teachers, who invest their labor in cultivating others' skills but do not directly participate in the productive activities for which their students are being trained. To address this puzzle, we develop a simple, mathematically tractable model of teaching and learning in a population with a shared goal. We identify a tradeoff between the size of the workforce and its collective level of expertise; and we analyze the optimal proportion of a population that should serve as teachers across a wide range of scenarios. We show that a population must exceed a critical size before it…
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