The Election Commission of India is facing conflicting reports regarding the scale of voter deletions during the 2026 Special Intensive Revision.

These discrepancies highlight a growing tension between official government data and allegations of systemic disenfranchisement. The accuracy of electoral rolls is critical for ensuring the legitimacy of democratic elections, and the inclusion of all eligible citizens.

Critics argue that the Special Intensive Revision (SIR) process uses algorithmic criteria to exclude millions of voters [1] across multiple states. These states include Uttar Pradesh, West Bengal, Tamil Nadu, and Telangana [1, 2]. The allegations suggest that an "algorithm of exclusion" is being used to remove eligible voters from the rolls.

However, officials in Uttar Pradesh have pushed back against these claims. Navdeep Rinwa, the Chief Electoral Officer of Uttar Pradesh, said there has been no mass deletion of voters [2]. According to Rinwa, 4,336 names were removed via the third-party Form-7 process during the 2026 SIR cycle [2].

The Form-7 process allows for the request of a name's deletion from the electoral roll. While critics point to a widespread algorithmic purge, the UP CEO said the removals are limited to specific, requested deletions [2].

The gap between the reported millions [1] and the official count of 4,336 [2] in one of India's largest states underscores a significant disagreement over the transparency of the ERO-Net system. The SIR process is intended to update rolls and remove ineligible voters, but the method of identification remains a point of contention.

“Reports differ on the scale of voter deletions under the Special Intensive Revision.”

The contradiction between the reported 'millions' of deletions and the official figure of 4,336 in Uttar Pradesh suggests a lack of consensus on how voter rolls are being scrubbed. If algorithmic tools are indeed being used to remove voters without transparent criteria, it could lead to legal challenges and accusations of voter suppression. Conversely, if the official numbers are accurate, the alarm regarding 'algorithms of exclusion' may be based on a misunderstanding of the ERO-Net system's function.