Evolution of Intelligence for Social Purposes

A theory suggesting that human intelligence largely evolved for social reasons, explaining why humans often use stories over logic to make sense of the world and why safeguards like peer review or trials are necessary to arrive at truth.

Theoretical Framework

Evolution of Intelligence for Social Purposes is a theory referenced by educational theorist Steve Hargadon suggesting that human intelligence largely evolved to serve social functions rather than to discern objective truth. According to this framework, evolutionary pressures selected for survival advantages rather than truth-seeking capabilities, which occurred primarily before the scientific revolutions that shaped modern civilization.

Core Principles

Drawing on modern theories about intelligence evolution, Hargadon argues that humans "largely use stories, and not logic, to make sense of our world, and that most of the stories we tell aren't actually true (or the full truth)." This perspective suggests that evolution doesn't select for truth but for survival, given that "the great bulk of our evolutionary past took place before the scientific revolutions that have shaped our modern lives."

The theory helps explain what E.O. Wilson described as humanity's fundamental challenge: "The real problem of humanity is we have Paleolithic emotions, medieval institutions and god-like technologies." This framework suggests humans retained ancient cognitive patterns optimized for social cooperation rather than analytical reasoning.

Implications for Truth-Seeking

The social evolution of intelligence theory provides an explanation for why safeguards are necessary to arrive at truth. Hargadon notes that "intelligence evolved for social purposes, which would explain why we have to build in such safeguards to get to truth, like peer review systems, having a trial by a jury of our peers, and being innocent until proven guilty."

These institutional mechanisms serve as correctives to natural human tendencies toward socially-motivated reasoning rather than objective analysis. The theory suggests that without such safeguards, human intelligence naturally gravitates toward narratives that serve social cohesion and survival rather than factual accuracy.

Application to Educational Systems

Hargadon applies this theoretical framework to understanding educational institutions, arguing that social narratives around institutions are stories that aren't actually the truth. He suggests that just as "banks actually operate more to make a profit than to help individuals save and manage their money," educational systems may operate according to different principles than their stated missions of individual enlightenment and growth.

The theory helps explain what Hargadon calls "the Silence"

  • the degree to which educational paradoxes remain undiscussed. He argues that "we use the language of enlightenment but mostly practice compliance and control," reflecting the tendency to construct socially acceptable narratives that obscure actual institutional functions.

Relationship to Historical Concepts

The framework connects to Plato's concept of the "Noble Lie"

  • the idea that certain myths should be told to citizens to maintain social harmony. Hargadon describes this as stories designed to help individuals "accept and fulfill their assigned roles" and "learn to 'swim in your lane.'" The social evolution of intelligence theory suggests such noble lies represent natural human tendencies rather than deliberate deceptions.

Hargadon also references the "hidden curriculum" in education, which includes "implicit lessons, values, and social norms that students learn in school but which are not explicitly included in the formal curriculum." This concept aligns with the theory's suggestion that social functions often override stated educational objectives.

Contemporary Implications

The theory has particular relevance for understanding modern challenges with artificial intelligence and information processing. Hargadon suggests that as AI develops superior reasoning capabilities, "we will need a framework of generative teaching so that the next generations are in partnership with us, working to understand these new and powerful changes in our world."

He warns that humans may not be "ready to handle the truth" if AI develops the ability to see "past marketing and propaganda and commercial and political interests to more truthful understandings of cause and effect." This concern reflects the theory's central premise that human cognition evolved for social rather than truth-seeking purposes.

Limitations and Challenges

Hargadon acknowledges the difficulty of applying this framework practically, noting the challenge of making "conscious decisions" about technology use when social and commercial pressures operate according to different logics than individual rational analysis. The theory suggests that overcoming socially-evolved cognitive patterns requires significant institutional and individual effort.

The framework implies that educational reform faces inherent challenges because it must work against deep-seated tendencies toward social conformity and narrative-based rather than logic-based reasoning.

See Also

Original Posts

This article was synthesized from the following blog posts by Steve Hargadon: