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All case studies

FailureHealthcare2016

Mylan N.V.

Mylan EpiPen Pricing Scandal

Estimated impact: $465M DOJ settlement; market share loss to generics

F33

Decision Quality Index

Critical — 5 biases detected, 1 toxic combinations

Mylan raised the price of the EpiPen from $57 to $609 (a 400%+ increase) over eight years while CEO Heather Bresch's compensation grew to $19M. The pricing exploited the product's life-saving monopoly status and lack of generic alternatives.

Decision context

Whether to continue systematic annual price increases on a life-saving product with no therapeutic alternatives, and whether the pricing strategy was sustainable politically and commercially.

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

★ Anchoring BiasLoss AversionStatus Quo BiasHindsight BiasFraming Effect

3D Decision Knowledge Graph

Mylan N.V. — 5 biases, 1 toxic combination

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Decision

Critical

High

Medium

Toxic

Bias Intensity Profile

Severity × confidence across 5 detected biases

Toxic combinations

Status Quo Lock

Reference class base rates

Across all 146 curated case studies in our library:

90%

base failure rate

10%

base success rate

Lessons learned

Anchoring to annual price increase percentages rather than absolute cost to patients created a trajectory that became politically unsustainable
Loss aversion: once high prices were embedded in revenue forecasts, any reduction felt like a loss rather than normalization
Hindsight bias: the pricing was publicly available for years before it became a political issue — the risk was always present

Source: U.S. Senate Special Committee on Aging hearing (2016); DOJ settlement (2017) (News Investigation)

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Lessons learned

Anchoring to annual price increase percentages rather than absolute cost to patients created a trajectory that became politically unsustainable

Loss aversion: once high prices were embedded in revenue forecasts, any reduction felt like a loss rather than normalization

Hindsight bias: the pricing was publicly available for years before it became a political issue — the risk was always present