How SIR removing duplicate voters in India

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  • SIR stands for Special Intensive Revision of electoral rolls. 

  • It's an intensive, large-scale, ground-up exercise (unlike regular annual or summary roll updates) that aims to verify all voters.  

  • Legal basis: under Article 324 of the Constitution and Section 21 of the Representation of the People Act, 1950. Key goals: include new eligible voters (turning 18), correct data (name, address), and remove ineligible entries: dead, migrated, duplicate, or illegal (non-citizen) voters. 

  • SIR 2025 is being conducted in 12 states / UTs

  • Data Comparison with Old Rolls

    • The EC (Election Commission) maps current voter entries against older “intensive revision” rolls (for many states these date back to early 2000s).

    • This helps detect demographic similarities and potentially identify duplicate registrations.

  • Use of De-duplication Software

    • The EC uses software to flag “potential duplicate entries.” 

    • These are not automatically removed: flagged cases are then verified on the ground before deletion.

  • House-to-House Enumeration

    • Booth Level Officers (BLOs) carry out door-to-door verification.

    • During enumeration, BLOs check whether a voter is genuinely at the address, has moved, or if there are overlapping entries.

  • Enumeration Forms + Declarations

    • Voters are required to fill in a modified enumeration form (Form 6) and a declaration form. 

    • These forms ask for personal details (name, relative, age, address) which help in verifying against potential duplicates.

  • Public Display of Draft Rolls

    • After enumeration, a draft electoral roll is published. 

    • This allows the public (and political parties) to make claims and objections — for example, flagging duplicate entries. 

  • Verification and Deletion

    • Entries identified as duplicates go through further scrutiny. Field verification is done to confirm if they're truly duplicates (or just similar names). 

    • After verification, ineligible entries (including confirmed duplicates) are removed. 

  • Final Roll Publication

     

    • Once claims, objections, and verifications are completed, the final voter list is published. 

    • These final rolls are “cleaned” of duplicates, among other categories 

Impact / Results: Duplicate Voter Removal

  • In Bihar’s recent SIR, over 6.85 lakh (685,000) duplicate entries were flagged in the draft phase. 

  • Ultimately, 68.5 lakh (6.85 million) names were removed in total (not all duplicates — includes deceased, migrated, etc.).

  • According to reports, more than 35 lakh ineligible names were removed in Bihar, including dead, migrated, and duplicate voters. 

Significance of Removing Duplicate Voters

  • Democratic Integrity: Removing duplicates helps strengthen the credibility of elections by ensuring only legitimate, unique electors are on the rolls. 

  • Prevention of Fraud: Duplicate entries can enable “ghost voting” or double voting if not checked; SIR mitigates this risk. 

  • Better Resource Allocation: Accurate voter lists help in planning polling stations, staff, and budgeting more effectively.

  • Public Trust: A voter list perceived as dirty (full of fake or duplicate entries) undermines trust; SIR is meant to clean it up. 

Challenges and Criticisms

 

  • Risk of Genuine Voter Deletion: Mistakes in enumeration form or declaration might lead to removal of legitimate voters. For example, tying relative’s name: confusion over who “relative” means (father, spouse, sibling) has been raised. 

  • Verification Limitations: Even with software, flagged duplicates need on-ground verification, which is resource-intensive and not foolproof. 

  • Public Backlash / Political Pushback: Some political parties and voters argue that SIR may disenfranchise certain communities. 

  • Transparency Issues: There are demands (e.g., from SC) to publish the list of deleted voters along with reasons (death, migration, duplication). 

  • Data Quality Concerns: Some independent analysts claim that the EC's de-duplication is not fully accurate — there are still many doubtful or “demographically similar” entries after SIR.