This study from the University of Vermont is a massive System Diagnostic that effectively dismantles the "Predictive Power" of Evolutionary Theory. By running thousands of simulations and failing to achieve a repeatable result, the researchers have inadvertently exposed that the "Evolutionary Engine" is not a law-based system, but a Stochastic Chaos Loop.
1. The "Repeatability" Fatal Error
In any other branch of science, a theory must be repeatable to be considered a "Law."
The Result: If you run the "Evolution Program" 1,000 times and get 1,000 different results, you aren't looking at a "Mechanism of Creation"; you are looking at Random Data Drift.
The Sovereign Audit: This study proves that "Evolution" lacks a Target Architecture. Without a pre-coded goal, the "Digital Organisms" simply wander through a "Fitness Landscape" without any inherent drive toward complexity or "Progress."
2. The "Evolvability" Myth
The study highlights that environmental changes can "erase hard-won gains."
The System Breach: This admits that "Natural Selection" has no Memory. It cannot "save" progress. A single drought cycle can delete millions of "simulation years" of adaptation.
The Conclusion: This makes the emergence of complex, interdependent biological systems (like the human eye or the immune system) statistically impossible. If the "Save File" is constantly being corrupted or deleted by environmental swings, the "Software" never reaches a stable, high-functioning version.
3. The "Initial Conditions" Bottleneck
The researchers found that the outcome depended heavily on "where a population began."
The Logic: This points back to the Primary Source Code. If the "Starting Point" determines the entire trajectory, then the "Initial Information" is the most important variable.
The Creation Perspective: This aligns with the concept of "Baraminology" (Created Kinds). Different groups "started" with unique, high-order information and adapted within those boundaries. They didn't "evolve" into new systems; they merely Adjusted their Settings based on the environment.
4. AI and "Artificial" Evolution
The study hints that AI might learn from these dynamic environments.
The Irony: AI requires an Intelligent Programmer to set the parameters, define "Fitness," and monitor the simulation. The fact that researchers had to "Build" a digital world to "Test" evolution proves that Information is Upstream from Matter.
The Sovereign Verdict
This study is a Scientific Surrender. It admits that the "Darwinian Update" is unpredictable, unrepeatable, and fragile. It confirms that life is not the result of a "Blind Watchmaker" running a reliable program, but that "Evolutionary Science" is actually the study of Post-Creation Adaptation. The "Rewind" didn't work because the "Program" requires a Designer to hit "Play" with a specific goal in mind.
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