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These male names are associated with a lower IQ, according to AI

Automated data analysis systems have detected statistical patterns that associate certain names with lower scores on cognitive tests.

By Omar RastelliPublished 8 months ago 2 min read
La inteligencia artificial vincula nombres con bajo Coeficiente Intelectual y expone sesgos del algoritmo

According to analyses conducted by artificial intelligence (AI) systems, certain male names are frequently associated with a lower-than-average intelligence quotient (IQ).

This link is not due to a direct cause or biological logic, but rather to correlations found in large volumes of data that artificial intelligence processes without cultural or historical context.

What is the name with the lowest IQ according to artificial intelligence

Large language models trained to identify associations show links between certain male names and low IQ scores, revealing how machine learning amplifies distortions present in the data.

One of the names most frequently associated with low IQs is Jonathan. The AI consistently links him to an average IQ below 85, a figure that, according to standardized scales, is below the general average.

Although the system does not offer a causal explanation, the pattern is repeated in different data sets where the name appears in profiles of low performance on standardized tests.

Male names with lower IQs

This list includes other names such as Kevin, Brandon, Dylan, and Tyler, all recorded in the AI analyses with similar patterns.

In no case is it established that the name is the source of the intelligence level, but it is acknowledged that there is a statistical correlation in the records reviewed. The AI, by processing millions of entries, tends to highlight these coincidences even if it cannot explain why they occur.

Cultural biases in AI: personal names and their relationship with cognitive profiles

What's the Risk with AI Analysis

What these findings actually reveal is how automated systems reproduce the cultural biases and prejudices already present in the data they consume.

In some contexts, names like Jonathan or Kevin have historically been associated with lower-income groups, more vulnerable social contexts, or specific generations. AI, working without human interpretation, turns these coincidences into repetitive patterns.

This phenomenon exposes a structural limitation of artificial intelligence models: their inability to distinguish between causality and correlation.

By associating names with academic performance, income level, or cognitive test results, they are actually amplifying structural conditions that affect certain groups, not establishing universal truths about individual abilities.

Names, data, and algorithmic discrimination: How AI interprets patterns without context

IQ Does Not Define a Person's Abilities

The interpretation of these results should be approached with caution. The IQ is only a partial measure of a person's cognitive abilities. It does not include variables such as emotional intelligence, creativity, adaptability, or other complex aspects that are also part of human intellectual functioning.

Furthermore, the development of these abilities is strongly influenced by factors such as the quality of education, family environment, childhood nutrition, or access to cultural resources.

The use of names as an analytical variable is problematic if their sociocultural dimension is not considered. In many contexts, names can reflect class identity, geographic affiliation, or media influence.

They are not, under any circumstances, determinants of intelligence, nor should they be used as predictive indicators in evaluation, selection, or diagnostic systems.

The American university study that confirmed AI

As background, a study conducted by academics at Stanford University analyzed data from 70,000 people to examine the relationship between names and IQ test results. The name Jonathan emerged as the most associated with low scores, with an average of nearly 80 points. However, the researchers themselves cautioned that names are a cultural variable and that the study should not be interpreted as conclusive proof, but rather as a statistical observation subject to multiple external factors.

Ultimately, although artificial intelligence can identify correlations, it cannot interpret meanings. Associating proper names with intelligence lacks a solid scientific basis and poses a risk if not properly contextualized.

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About the Creator

Omar Rastelli

I'm Argentine, from the northern province of Buenos Aires. I love books, computers, travel, and the friendship of the peoples of the world. I reside in "The Land of Enchantment" New Mexico, USA...

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