ABOUT · METHODOLOGY

How This Works

KalKarenge is a civic scrutiny tool. Not a court. Not a campaign. A machine that reads public affidavit data and tells you what your representative doesn't want you to know.

Data Source

All data comes from myneta.info (Association for Democratic Reforms), which publishes candidate affidavits filed with the Election Commission of India. These are self-declaredby candidates - we don't make accusations, we surface what they admitted.

163+Elections Covered
108,504+Politicians Tracked
24,695+Criminal Cases Indexed

Scoring Formula

The KK Risk Score (0-100) blends crime severity with volume. A politician with 2 murder cases ranks higher than one with 50 rioting cases. It is not a legal verdict.

Step 1: IPC Heinousness Score
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Each criminal case → extract IPC sections → take max severity

IPC Severity Tiers (1-10 scale):
  10  Murder (302), Rape (376), Dacoity+murder
   9  Attempt murder (307), Acid attack, Dowry death
   8  Kidnapping (363), Robbery (392), Grievous hurt (326)
   7  Extortion (384), Fraud (420), Forgery (467-471)
   6  Assault (353), Theft (379), Criminal breach of trust
   5  Rioting (147-149), Hurt (323), Trespass (447)
   4  Intimidation (506), Defamation (500)
   3  Public order offenses (143, 186, 283)
   2  Election offenses (171F/H), Minor abetment

Weighted avg: Σ(severity²) / Σ(severity)
Volume mult:  min(log(1+cases), 3.5) / 3.5
Heinousness:  (weighted_avg/10 × 0.7 + volume × 0.3) × 100

Step 2: Blended KK Risk Score
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If criminal cases exist:
  Score = heinousness × 0.6 + original_risk × 0.4
Else:
  Score = original_risk (asset/flag based)

Tiers:  Critical ≥75 · High ≥50 · Moderate ≥25 · Low <25

Stamps

Stamps are visual labels assigned algorithmically based on a politician's data. They are not editorial opinions - they are pattern matches on declared records.

  • JUMLA CERTIFIED: Risk score under 25, yet 3+ criminal cases on file
  • BHOOT MP/MLA: Attendance below 30% in legislature (coming soon)
  • PAISA KAHAN GAYA: Under 20% constituency funds utilized
  • HALL OF SHAME: Collected 3 or more negative stamps
  • DAAGI NETA: 3+ criminal cases with mid-to-high risk score
  • ACTUALLY SHOWED UP: Risk score of 0 - rarest breed
  • SAAF CHHAVI: 0 criminal cases, 0 pending, 0 convicted
  • SASTA NETA: Assets under ₹50L, no anomaly flags
  • SABSE ZYADA KAAM: Best attendance + questions (coming soon)
  • YOUNG BLOOD: Under 35 at candidacy with a clean profile
  • MOST WANTED: Highest overall risk score nationally
  • OLD MONEY NEW CRIME: Declared assets over ₹50 crore with 5+ criminal cases
  • YOUNG & ALREADY PROBLEMATIC: Under 35 with risk score ≥ 50
  • COURTROOM NETA: Minimal assets declared but high criminal cases

Legal Disclaimer

KalKarenge is a civic information tool, not a legal judgment system. All data is sourced from publicly available election affidavits filed with the Election Commission of India and published by the Association for Democratic Reforms (ADR) through myneta.info.

Risk scores and stamps are algorithmic pattern matches on self-declared data. They do not constitute accusations, verdicts, or legal opinions. "Pending" cases are exactly that - pending, not proven. A high risk score does not mean a politician is guilty of any crime.

If you believe any data is incorrect, please contact us with the specific candidate's myneta.info profile URL and we will verify against the source.