A public map drawn from 146 real strategic decisions — 131 failures and 15 successes — across 12 industries. Methodology open. Data cite-able. Refreshed as consenting customer orgs opt in.
Baseline failure rate in this dataset: 90%. Every “failure lift” below is multiplied against this baseline.
Every bias plotted on two axes — how often it appears, how much it lifts the failure rate. The top-right quadrant is where your audit energy pays off.
Sorted by failure lift — how much more often a decision fails when this bias is present, relative to the baseline. Filter by industry to narrow the slice.
Named patterns where two biases compound. Detection in live memos is 8x worse than either bias alone — the product category our toxic-combination engine was built for.
Confirmation bias amplified by unchallenged consensus. Teams hear what they already believe.
Favorable initial estimates become reference points; downside scenarios are discounted.
The fear of loss from any change outweighs the documented cost of inaction.
Deference to authority suppresses dissent; decisions ratified rather than debated.
Overconfidence meets systematic underestimation of time and complexity.
Past investment justifies continued commitment — the 'we're too deep to stop' pattern.
Escalating commitment to a losing course to avoid realizing the loss.
/api/intelligence/bias-genome will take over once n ≥ 3 consenting orgs have reported outcomes.Upload takes 60 seconds. Your data stays yours — anonymized aggregation is opt-in.