CONCEPT
The Fallacy of Composition
The logical error — central to Keynesian analysis — of assuming that <em>what is true of each part must be true of the whole</em>. The single most important diagnostic concept for understanding collective AI outcomes.
The fallacy of composition is the logical error Keynesian economics exists to correct. It consists of assuming that the properties of parts can be attributed to wholes — that if each household benefits from saving more, the economy benefits from everyone saving more; that if each firm benefits from cutting nineteen workers, the economy benefits from every firm cutting nineteen workers. The fallacy is the structural explanation for why individually rational behavior produces collectively irrational outcomes, and why the AI transition cannot be analyzed one firm or one worker at a time. Understanding it converts what appears to be a mystery of unintended consequences into a predictable pattern of structural dysfunction.
In The You On AI Field Guide
The fallacy is ancient in formal logic but acquired new power in Keynesian economics, where it became the diagnostic instrument for explaining how markets fail systematically. Classical economics assumed the sum of rational parts was a rational whole. Keynes demonstrated, in domain
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