/evidence
What the data shows
198 companies. Scored. Classified. The patterns that emerge are not surprising in hindsight. That is the point. They were not surprising in foresight either. Someone in the room always knew.
75.8%
of all 198 failures
The human thread
Human execution failure appears as a named causal factor in 75.8% of all cases. DZ8 is the primary classification in 38 of 198 companies — 19.2% of the dataset.
This is not a calibration problem. It is the central argument of the framework. Every structural failure had a human who could have seen it, named it, and acted on it. The Death Zone primary identifies the architecture. The human thread identifies the moment where intervention was possible.
Key findings from the dataset
DZ5 is the most common cause of death.
49 companies — nearly 1 in 4 — carry The Relevance Horizon as their primary death zone. The world moved. The cost base, the culture, and the incentives did not move with it. This is not a technology problem. It is a will problem.
DZ10 has never been assigned as primary.
Zero companies across 198 cases qualify as pure Sovereign Paradox primaries. External forces almost always exploit a pre-existing structural weakness. The framework is not an alibi machine. When examined closely, someone always could have seen it.
Human Execution dominates the Tri-Vector output.
HE (Human Execution) is the dominant Tri-Vector in 60% of cases. The framework's thesis — that human failure is present in the majority of corporate collapses — is borne out by the data. The structural zone identifies the architecture. The human signal identifies the moment.
Age at failure skews young.
Median age at failure across all 198 companies is 8 years. Most of the companies in this database were not old institutions slowly crumbling. They were businesses that scaled fast, hit a wall, and died before they understood why.
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