Your workmanship is marvelous—how well I know it.
Psalm 139:14 NLT
"Irreducible complexity (IC) is the observation that living systems require a minimum set of coordinated parts in order to function. When AI was asked whether this principle is valid, it replied: “Yes, all life requires a certain minimum number of parts to function, with the cell being the fundamental unit of life. Below this level of complexity, life cannot exist.”
The fact and reality of irreducible complexity has also been verified experimentally by scientists at the J. Craig Venter Institute. Their scientists assembled a self-replicating synthetic bacterial cell with a stripped-down genome containing a whopping 531,000 base pairs organized into 473 genes. This represented the minimal genetic complement required to sustain a “simple” living cell capable of growth and reproduction in a nutrient-rich laboratory environment.
Specifically, they removed the original genome from an already functioning cell—leaving all components other than the genome itself in place—and replaced it with a synthetic genome, which was built in the lab (with some modification) from Mycoplasma mycoides.
Now Greatly More Irreducible and Functionally Complex
Another example can be added to the many known examples of IC: the human brain. The problem was “For decades, scientists have mapped attention, memory, language, and reasoning to separate brain networks — yet one big mystery remained: why does the mind feel like a single, unified system?”
Another difficulty for evolutionary explanations is the existence of human language. Only humans possess true language, creating a
vast cognitive gap between humans and all other forms of life, including the primates most closely related to us. For more than a century, the prevailing evolutionary assumption was that the brain is essentially a collection of specialized systems. Functions such as attention, perception, memory, reasoning, and language, were believed to be specifically controlled by designated brain areas. As a result, these systems were typically studied in isolation.
A report from the University of Notre Dame presents compelling evidence that the long held belief that “specific function is located in one specific area of the brain” is wrong.
The network architecture of general intelligence in the human connectome (Wilcox et al., Nature Communications, 26 Jan 2026). The report concluded that “intelligence doesn’t live in one ‘smart’ region of the brain at all. Instead, it emerges from how efficiently and flexibly the brain’s many networks communicate and coordinate with each other.”
A summary of this paper was published by ScienceDaily (3 March 2026) under the title, “Intelligence emerges when the whole brain works as one.” It was based on a press release from the University of Notre Dame (28 Jan 2026).
Why Darwinians Need a Theory of Language Evolution
The importance to Darwinians of explaining language was described by W. Tecumseh Fitch in his 2010 book, The Evolution of Language:
Furthermore, the relationship between language and general intelligence is considered one of the most important and “fundamental and enduring questions in modern science.”
"Irreducible complexity (IC) is the observation that living systems require a minimum set of coordinated parts in order to function. When AI was asked whether this principle is valid, it replied: “Yes, all life requires a certain minimum number of parts to function, with the cell being the fundamental unit of life. Below this level of complexity, life cannot exist.”
The fact and reality of irreducible complexity has also been verified experimentally by scientists at the J. Craig Venter Institute. Their scientists assembled a self-replicating synthetic bacterial cell with a stripped-down genome containing a whopping 531,000 base pairs organized into 473 genes. This represented the minimal genetic complement required to sustain a “simple” living cell capable of growth and reproduction in a nutrient-rich laboratory environment.
Specifically, they removed the original genome from an already functioning cell—leaving all components other than the genome itself in place—and replaced it with a synthetic genome, which was built in the lab (with some modification) from Mycoplasma mycoides.
Now Greatly More Irreducible and Functionally Complex
Another example can be added to the many known examples of IC: the human brain. The problem was “For decades, scientists have mapped attention, memory, language, and reasoning to separate brain networks — yet one big mystery remained: why does the mind feel like a single, unified system?”
Another difficulty for evolutionary explanations is the existence of human language. Only humans possess true language, creating a
A report from the University of Notre Dame presents compelling evidence that the long held belief that “specific function is located in one specific area of the brain” is wrong.
The network architecture of general intelligence in the human connectome (Wilcox et al., Nature Communications, 26 Jan 2026). The report concluded that “intelligence doesn’t live in one ‘smart’ region of the brain at all. Instead, it emerges from how efficiently and flexibly the brain’s many networks communicate and coordinate with each other.”
A summary of this paper was published by ScienceDaily (3 March 2026) under the title, “Intelligence emerges when the whole brain works as one.” It was based on a press release from the University of Notre Dame (28 Jan 2026).
Why Darwinians Need a Theory of Language Evolution
The importance to Darwinians of explaining language was described by W. Tecumseh Fitch in his 2010 book, The Evolution of Language:
"Language, more than anything else, is what makes us human. … no communication system of equivalent power exists elsewhere in the animal kingdom. Any normal human child will learn a language.webp)
based on rather sparse data in the surrounding world, while even the brightest chimpanzee, exposed to the same environment, will not. … Since Darwin’s theory of evolution, questions about the origin of language have generated a rapidly-growing scientific literature, stretched across a number of disciplines, … Fitch cuts through this vast literature, bringing together its most important insights to explore one of the biggest unsolved puzzles of human history."
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Furthermore, the relationship between language and general intelligence is considered one of the most important and “fundamental and enduring questions in modern science.”
For decades, scientists believed that language was produced primarily by a single region of the brain, the Broca’s area, located in the posterior inferior frontal gyrus of the brain’s left hemisphere. The new research by Wilcox et al., however, has produced experimental evidence that language does not arise from one isolated area. Rather, it emerges from the coordinated activity of networks distributed throughout the entire brain.
This discovery has the potential to transform our understanding of how the brain functions. Consequently, to claim that the brain and its many functions evolved as a unit, as the Notre Dame research implies, results in the probability that the “biggest unsolved puzzles of human history” is now many times greater than once believed.
If language and intelligence arise from the integrated operation of many interconnected systems—as research reported by the University of Notre Dame supports—then explaining how such a highly coordinated complex system could evolve step by step becomes an even greater challenge to evolution. The problem may, therefore, extend far beyond the origin of language itself, touching on some of the largest unsolved questions about the origin and nature of human cognition.
The Scientific Evidence for This Conclusion
Data from the Human Connectome Project map of the neural pathways in the healthy adult human brain. This map identifies both structural and functional connections using functional Magnetic Resonance Imaging (fMRI). This technique includes both resting-state (rfMRI) and task-based (tfMRI) to map the human brain’s functional and structural connectivity to study how different brain regions interact.
Using this method, scientists can map distinct brain subdivisions and the neural systems involved in functions such as language. The project analyzes data from approximately 1,200 subjects to chart the brain’s “wiring” (white matter tracts) and patterns of activity (functional networks). This map helps researchers better understand brain organization, behavior, and genetics. The results from these fMRI scans are shown in the accompanying picture.
Summary
The result of the University of Notre Dame project is a clearer understanding of how “efficiently and flexibly the brain’s many networks communicate and coordinate with each other.” The fMRI analysis produces clear evidence that language processing and
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