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ChatGPT gives one opinion from one model. Decision Intel uses 3 independent judges for noise measurement, a 20×20 bias interaction matrix for compound scoring, 31 domain-specific biases, and an outcome flywheel that gets smarter with every decision.

All case studies

Catastrophic failureGovernment2014

U.S. Department of Veterans Affairs

VA Health System Wait Time Scandal

Estimated impact: 40+ veteran deaths

F14

Decision Quality Index

Critical — 5 biases detected, 2 toxic combinations

The Phoenix VA Health Care System and other facilities maintained secret wait lists to hide that veterans were waiting months for medical appointments. At least 40 veterans died while waiting for care. A culture of status quo acceptance and metric manipulation persisted across the VA system for years.

Decision context

Whether to report accurate wait times and request additional resources, or manipulate scheduling data to meet performance targets and avoid scrutiny.

Deep hindsight-stripped analysis coming soon. This case is part of our ongoing backfill to reconstruct what the platform would have flagged at decision time. The summary and bias profile below are drawn from primary sources.

Biases present in the decision

★ Status Quo BiasGroupthinkCognitive MiseringAuthority BiasConfirmation Bias

3D Decision Knowledge Graph

U.S. Department of Veterans Affairs — 5 biases, 2 toxic combinations

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Decision

Critical

High

Medium

Toxic

Bias Intensity Profile

Severity × confidence across 5 detected biases

Toxic combinations

Echo Chamber
Yes Committee

Reference class base rates

Across all 146 curated case studies in our library:

90%

base failure rate

10%

base success rate

Lessons learned

When performance metrics become targets rather than measures, organizations optimize for appearance over outcomes.
Status quo bias in bureaucratic institutions makes systemic problems invisible until a crisis forces external investigation.
Cognitive misering in oversight means accepting reported numbers at face value without validating underlying data.

Source: VA Office of Inspector General Report No. 14-02603-267 (2014) (Case Study)

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Related cases in Government

Failure2013

US Centers for Medicare & Medicaid Services (CMS)

Healthcare.gov Launch Failure

Partial failure2001

US Department of Defense / Lockheed Martin

F-35 Joint Strike Fighter Cost Overruns

Catastrophic failure2002

US Government (SIGAR oversight)

Afghanistan Reconstruction Failures

Lessons learned

When performance metrics become targets rather than measures, organizations optimize for appearance over outcomes.

Status quo bias in bureaucratic institutions makes systemic problems invisible until a crisis forces external investigation.

Cognitive misering in oversight means accepting reported numbers at face value without validating underlying data.