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All case studies

FailureAutomotive2023

Hyundai Motor / Kia Corporation

Hyundai/Kia Engine Defect and Theft Crisis

Estimated impact: $1.3B+ in settlements; insurance and theft costs; brand damage

F30

Decision Quality Index

Critical — 5 biases detected, 2 toxic combinations

Hyundai and Kia recalled 3.4 million vehicles for engine fire risk from manufacturing defects, while simultaneously facing a viral car theft epidemic because certain models lacked basic engine immobilizers. The theft vulnerability was a cost-cutting decision that became a public safety crisis.

Decision context

Whether to include engine immobilizer technology (standard in competitors) and whether to proactively address engine manufacturing defects flagged by early warranty claims.

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

★ Cognitive MiseringLoss AversionAnchoring BiasStatus Quo BiasRecency Bias

3D Decision Knowledge Graph

Hyundai Motor / Kia Corporation — 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

Status Quo Lock
Recency Spiral

Reference class base rates

Across all 146 curated case studies in our library:

90%

base failure rate

10%

base success rate

Lessons learned

Cognitive misering: omitting a standard security feature (immobilizer) to save ~$30/vehicle created billions in downstream liability
Loss aversion around warranty costs delayed addressing engine defects that early claims data had flagged
Recency bias: years of improving quality ratings created complacency about manufacturing process controls

Source: NHTSA recall campaigns (2023); FTC settlement; city of Seattle lawsuit (News Investigation)

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Lessons learned

Cognitive misering: omitting a standard security feature (immobilizer) to save ~$30/vehicle created billions in downstream liability

Loss aversion around warranty costs delayed addressing engine defects that early claims data had flagged

Recency bias: years of improving quality ratings created complacency about manufacturing process controls