Interactive demonstration

Try the formula. See how bad they really are.

Build a fictitious district attorney, judge, officer, public defender, or police department. Add misconduct incidents with real dates. Watch your invented actor slot into the live rankings against real people in California's accountability database. Then ask yourself: if it takes this much fictional misconduct to reach the top of the list, how bad are the real people sitting there right now?

Loading 12-month rolling window…

Your fictitious actor

0.00 R(p)
Add an incident to see ranking
δ_R: —
δ_P: —
0 years total custody
State prison (T5–10)0—
County jail (T2–4)0—
total band: 0 – 0 yrs (PC §1170(b) triads, per methodology §10)

Live leaderboard — DAs

Loading real rankings…

Score growth over the 12-month window cumulative R(p) by incident date

Incidents 0 added

Presets:
What this is. A live calculator running the exact ranking formula specified on the locked methodology page. The math is the same; only the presentation differs. Every quantity above is computed in your browser from public artifacts — no data leaves this page. Population means (μ_R, μ_P) and real-actor R(p) values are fetched from the public spreadsheet exports at /spreadsheet-data/.

The 12-month rolling window. Per §13 of the methodology, only incidents inside the current window count toward R(p). Incidents you place outside the window are flagged but not scored, exactly as the production pipeline handles them.

This is a demonstration, not a verdict. Real actors at the top of the leaderboard earned their position through documented misconduct sourced from public records. Their R(p) values are not opinions — they are deterministic outputs of the formula applied to public-record inputs. See the methodology references for the underlying data trails.