Wed Sep 25 04:05:43 UTC 2024: ## The Myth of “g”: A Statistical Critique of General Intelligence

**In a recent post, prominent researcher and author Steven Pinker dismantles the concept of “g,” the purported general factor of intelligence, as a statistically flawed and misleading construct.** He argues that “g” is a product of faulty statistical methods, specifically exploratory factor analysis, which is inappropriately used to infer causal structures in psychological testing.

Pinker, known for his work on language and cognition, states that exploratory factor analysis is merely a descriptive tool for summarizing data, not uncovering hidden causal mechanisms. He demonstrates this point through simulations, showing how positive correlations among test scores, even in completely random data sets, can lead to the appearance of a “general factor” through factor analysis.

He further criticizes the use of “g” to explain heritability of intelligence scores, highlighting that a similar appearance of heritability can be generated using a model where individual mental abilities are numerous, independent, and heritable, effectively mimicking the observed patterns despite the absence of a single, overarching “g.”

Pinker points out that while “g” might correlate with certain outcomes like educational attainment or income, this correlation alone does not prove the existence of a real, underlying general intelligence factor. He emphasizes that “g” is a statistical artifact, a myth that perpetuates an outdated and misleading view of the human mind.

**Pinker urges the scientific community to move beyond “g” and focus on understanding the complex and diverse cognitive abilities that contribute to human performance. He advocates for employing more sophisticated statistical methods that can address causal inference and move beyond simplistic correlations.**

**The article concludes by calling for a shift in the way we study intelligence, urging researchers to focus on a more nuanced understanding of the multiple cognitive abilities and their biological underpinnings, rather than relying on the misleading concept of “g.”**

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