The Unaccountability Machine
The Unaccountability Machine by Dan Davies is one of 2026's most credible books, appearing on 1 of the year's most respected lists, including McKinsey & Company, for a Consensus Score of 15 out of 100.
Appears on these lists
Our take
AI-draftedDavies, an economist who writes for The New Yorker, borrows from Stafford Beer's cybernetics to explain a specific modern pathology: organizations that produce outcomes nobody inside them actually wanted, because decisions get routed through rule books and procedures until no single person can be blamed. Reviewers have singled out the concept of the 'accountability sink' as the book's most useful contribution.
In the press
“for all its diagnostic excellence, the book ultimately disappointed in the arena that matters most to practitioners”
Eric Nehrlich, Unrepentant Generalist“a must read”
Financial Times
How the Consensus Score is calculated
Our Consensus Score is our own transparent editorial metric — not a user rating. It weighs each list by the credibility of its source, how recent the listing is, and any award status. Here is the full breakdown.
| Source | Authority | Recency | Award | Contribution |
|---|---|---|---|---|
| McKinsey & Company | 0.80 | 0.85 | 1.00× | 0.68 |
| Weighted sum → Score | 0.68 → 15 | |||
Similar consensus books
Because they appear on some of the same lists.
Frequently asked
What lists is The Unaccountability Machine on?
The Unaccountability Machine appears on 1 list in our 2026 corpus, including McKinsey & Company.
What is its Consensus Score?
The Unaccountability Machine has a Consensus Score of 15 out of 100, our transparent editorial measure of how many credible lists agree on it.