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Which cognitive biases caused Michigan Department of Environmental Quality's collapse?

5 bias patterns are documented in this case, led by Cognitive Misering. The full set: Cognitive Misering, Confirmation Bias, Authority Bias, Status Quo Bias, Selective Perception. Each is mapped to Decision Intel's 22-bias R²F taxonomy with stable IDs and academic citations.

What is Decision Intel's reasoning audit?

Decision Intel runs a 12-node Recognition-Rigor Framework (R²F) pipeline on strategic memos, detecting cognitive biases from a 22-bias canonical taxonomy and producing a Decision Quality Index (DQI) score. The audit produces a hashed, tamper-evident Decision Provenance Record (DPR) suitable for audit-committee review.

All case studies

Catastrophic failureHealthcare2014

Michigan Department of Environmental Quality

Flint Michigan Water Crisis

Estimated impact: $600M+ in infrastructure remediation; incalculable public health damage

F14

Decision Quality Index (simulated)

Critical · 5 biases detected, 2 toxic combinations

Flint switched its water source to the Flint River without proper corrosion control treatment, causing lead to leach from aging pipes into drinking water. 100,000+ residents were exposed to dangerous lead levels. State officials dismissed resident complaints and manipulated testing data for over a year.

Decision context

Whether to treat the Flint River water with corrosion inhibitors (costing ~$100/day) or proceed without treatment to save costs, and whether to investigate or dismiss resident complaints about water quality.

Decision anatomy

Monetary stakes

Low

Dissent suppressed

Time pressure

Present

Unanimous consensus

Decision participants

Dissent encouraged

External advisors

Iterative process

Red = risk factor present · Green = protective factor present

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 Misering

critical

Confirmation Bias

high

Authority Bias

high

Status Quo Bias

medium

Selective Perception

medium

★ Primary driver · Severity estimated from bias type and decision outcome

3D Decision Knowledge Graph

Michigan Department of Environmental Quality · 5 biases, 2 toxic combinations

Drag to rotate · Scroll to zoom · Click to explore

Decision

Critical

High

Medium

Toxic

Bias Intensity Profile

Severity × confidence across 5 detected biases

Toxic combinations

!Echo Chamber

Group members reinforce each other's views, systematically filtering out dissenting signals.

!Blind Sprint

Overconfidence combined with planning fallacy creates unstoppable momentum toward failure.

Reference class base rates

Across all 143 curated case studies in our library:

89%

base failure rate

-0%

partial / mixed

11%

base success rate

■ Failure■ Partial■ Success

Lessons learned

Cognitive misering: regulators accepted surface-level compliance with water testing protocols rather than investigating anomalous results
Confirmation bias led officials to dismiss community complaints as uninformed rather than valid data points
The $100/day corrosion treatment that was skipped to save costs ultimately caused $600M+ in remediation

Source: Michigan Civil Rights Commission, "The Flint Water Crisis: Systemic Racism Through the Lens of Flint" (2017); Flint Water Advisory Task Force Report (2016) (Post Mortem)

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We caught these patterns in Michigan Department of Environmental Quality's own record — before the outcome.

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Workflows that fire on decisions like Michigan Department of Environmental Quality’s

The same Recognition-Rigor Framework that documents this case audits memos in the same shape — before the outcome forces the lesson.

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Continental Illinois National Bank

Continental Illinois Bank Bailout

Catastrophic failure2010

DePuy Orthopaedics (Johnson & Johnson)

DePuy ASR Hip Implant Recall

Lessons learned

Cognitive misering: regulators accepted surface-level compliance with water testing protocols rather than investigating anomalous results

Confirmation bias led officials to dismiss community complaints as uninformed rather than valid data points

The $100/day corrosion treatment that was skipped to save costs ultimately caused $600M+ in remediation