Worldview Evaluation Protocol Stress Test: Theism vs Atheism Results

We ran three rigorous tests on the Worldview Evaluation Protocol (WEP) to see if the system collapses under pressure. Here’s exactly what happened.

Can a structured framework for evaluating entire worldviews survive real pressure?

That was the question I set out to answer with the Worldview Evaluation Protocol — a multi-domain system built around the principles of Convergent Epistemology. Instead of debating isolated arguments, the protocol evaluates competing explanations of reality across five independent domains: Predictive Power, Anomalous Event Integration, Knowledge Production Capacity, Macro-Historical Impact, and Experiential Coherence.

In this transparent demonstration, I compared two complete worldviews — Theism (the positive claim that a transcendent mind grounds reality) versus Naturalistic Atheism (the claim that matter, energy, and blind processes are all that exist) — and then deliberately tried to break the framework with three targeted stress tests.

Here are the exact tests we ran, the results we observed, and what they reveal about the strength of the Worldview Evaluation Protocol.

What Is the Worldview Evaluation Protocol?

The Worldview Evaluation Protocol (WEP) is a convergence-based evaluation system. It scores any worldview on a 0–1 scale in each of the five domains, then multiplies those scores together. The multiplicative structure is deliberate: a single weak domain drags the entire convergence score down. This forces genuine cross-domain coherence rather than selective cherry-picking.

The protocol does not declare absolute “winners.” It reveals which explanatory systems maintain alignment across independent lines of evidence when placed under consistent, transparent pressure.

Baseline Comparison: Theism vs Naturalistic Atheism

Using the protocol’s own illustrative baseline:

• Theism achieved an overall convergence score of 0.247
• Naturalistic Atheism achieved an overall convergence score of 0.115

Theism showed more than twice the cross-domain convergence in the unweighted baseline. But raw numbers alone prove nothing if the system falls apart the moment we change the rules. So we applied three forms of pressure.

Stress Test 1: Weight Manipulation

Test design: We changed the relative importance of each domain using three principled alternative weightings: heavy empirical/science priority, experiential priority, and historical priority.

Results: When we leaned heavily into empirical and knowledge-production domains (Naturalistic Atheism’s strongest areas), the gap narrowed dramatically. Under the heaviest science weighting, the scores became nearly identical (roughly 0.729 vs 0.727).

Under experiential and historical weightings, the gap remained in Theism’s favor but still moved.

Key takeaway: The structure did not collapse or reverse wildly. The margins shifted in predictable ways when we privileged different domains, exactly as the protocol’s own calibration guidelines predict.

Stress Test 2: Interpretive Flexibility

Test design: We tightened every interpretive constraint the protocol itself requires — stricter standards on dating, fulfillment interpretation, self-fulfillment risks, and anomaly thresholds.

Results: Both systems weakened under the stricter pass. Theism’s score dropped to approximately 0.112 and Naturalistic Atheism’s to 0.076. The ordering remained the same, but the absolute convergence values decreased meaningfully.

Key takeaway: The framework responded to tighter standards without becoming unfalsifiable or arbitrary. It rewarded the system that could still maintain alignment under genuine constraint rather than rewarding the one that could explain the most things away.

Stress Test 3: Domain Removal

Test design: We removed one entire domain at a time and re-ran the full convergence calculation using equal weighting on the remaining domains.

Results: Most domain removals preserved the overall pattern — Theism still showed higher convergence. However, when we removed Anomalous Event Integration, the gap almost disappeared (approximately 0.746 vs 0.732).

Key takeaway: The protocol made its own pressure points visible. Anomalous-data handling is clearly one of the heaviest load-bearing differences between these two worldviews in the current baseline. This is not a flaw — it is the system working as designed.

Overall Results: The Structure Held

Across all three stress tests, the Worldview Evaluation Protocol remained stable.

• Margins moved (sometimes sharply).
• Pressure points became obvious.
• But the overall convergence pattern did not collapse or flip randomly.

This is precisely what a robust worldview evaluation system should demonstrate: sensitivity to reasonable changes without fragility.

Why These Results Matter for Worldview Evaluation

Most debates about worldviews remain trapped in single-domain silos — science versus philosophy, history versus experience. The Worldview Evaluation Protocol and its underlying Convergent Epistemology framework offer a different approach: evaluate entire systems across independent domains simultaneously and then test whether that convergence survives pressure.

The multiplicative model forces genuine coherence. The stress tests force transparency. Together they move the conversation from “which argument sounds better today” to “which explanatory system holds together when everything is considered at once.”

Final Thoughts

This was not an attempt to prove any particular worldview. It was a public demonstration of how the Worldview Evaluation Protocol behaves under deliberate pressure.

The system passed the three tests we applied. It showed both stability and clear pressure points — exactly the balance a serious evaluation framework should display.

If you want to run the same comparison yourself, anyone can search for the Worldview Evaluation Protocol or visit convergentepistemology.com and test any worldview you choose. Change the weights. Tighten the standards. Remove domains. See what holds.

The question is no longer whether we can evaluate worldviews. The question is whether we are willing to test the evaluation systems themselves.