SABAR Institute

This data belongs to you Information derived from public sources is a collective asset of the people—it should never be confined. Yet authorities have locked it behind CAPTCHAs, download limits, poorly structured files and watermarked data At Sabar Institute, our small team of @sabirahamedgd @Souptik_H and @Ashin_econ, even with very limited resources, has worked to digitise and organise this information to make it truly accessible We are releasing Assembly-wise complete SIR Supplementary List deletion data, fully open and free on our website Starting with our first assembly: Nandigram Building and maintaining this requires significant resources, and we rely only on crowdfunding to sustain it. Support us if you want to see this continue From copyright to copyleft, copy it, share it, analyse it, keep it open Portal link in the next tweet👇 #DataForBetterLives

@qasid4you sabarinstitute.org/research-and-p…

@SabarInstitute_ It will help if you can also highlight few examples of discrepancies that lead to deletions., atleast that would prepare voters in states undergoing SIR to be prepared for whats coming and stay vigilant., and prepare necessary documentation

🚨Of the 27 lakh-plus electors deleted from West Bengal’s “Under Adjudication” list, mostly over alleged "logical discrepancies", 70.17% are Muslims, while 51% are women. Sabar Institute is releasing a public repository of West Bengal's SIR Supplementary Deletion List, classified by religion and gender, so citizens, journalists, and researchers can independently examine how this process has affected different communities. The 27 lakh+ deletions mostly include electors flagged for reasons like having 6+ children, minor name/parent-name mismatches, or an age gap with a parent under 15 years. This was built with crowd-funding, a team of three (@sabirahamedgd , @Souptik_H , @Ashin_econ) working on three laptops, with help from our intern @mallick_so63507. We're now taking on religious classification of the ASDD list next. That work needs support to continue. If this is useful to you, please consider supporting us via the link below. Support our work : donate.sabarinstitute.org Data Repository : sabar-institute.github.io/sir #DataForBetterLives

A civil society group that has rendered great service to citizens. A tiny organisation that has pulled off humongous and meticulous work to protect citizen rights and hold the poweful accountable. Please donate and support @SabarInstitute_ 👇

Telangana women voters confusion cleared! Hijab or no hijab, your photo on the SIR enumeration form is fine as long as your face is clearly visible. That’s the clear message from GHMC Commissioner & District Election Officer R.V. Karnan. BLOs are already accepting photos with or without headscarf if the face is visible. No need to remove your hijab. Official word is simple: Face on photo must be clear. thehindu.com/news/national/…

The inaugural issue of REPRESENT: Research on Practices around Religion, Ethnicity and Society, published by @SabarInstitute_ is out now, featuring 5 research articles and 1 book review. Read: represent.co.in/index.php/rep/… #AcademicTwitter #OpenAccess 1/2

The inaugural issue of REPRESENT: Research on Practices around Religion, Ethnicity and Society, published by @SabarInstitute_ is out now, featuring 5 research articles and 1 book review. Read Vol 1, No 1 here: represent.co.in/index.php/rep/… Submit articles: represent.co.in

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Sabar Institute has started its Jharkhand SIR analysis. Barhait, an ST-reserved constituency and CM Hemant Soren's own seat, is our first case study We found 58,199 voters, 1 in 4 of Barhait's entire electorate, flagged "unmapped" under the SIR 2026 revision now underway. We ran a surname analysis on the unmapped list: 🔹 MURMU — 9.33% 🔹 DEVI — 7.85% 🔹 SOREN — 6.8% 🔹 TUDU — 5.1% 🔹 MARANDI — 5% 🔹 BIBI — 4.67% 🔹 HANSDA — 4.3% 🔹 HEMBRAM — 4.17% 🔹 ANSARI — 4.13% 🔹 PAHADIYA — 3.98% 🔹 KHATUN — 3.44% 🔹 KISKU — 3.11% 🔹 PAHADIN — 3.12% 🔹 KUMARI — 3.08% 🔹 MALTO — 2.58% Add up the Santhal clan surnames alone (Murmu, Soren, Tudu, Marandi, Hembram, Hansda, Kisku) and you're already close to 38% of everyone flagged unmapped. Fold in the Paharia-family names (Pahadin, Pahadiya, Malto - a distinct PVTG group) and it's nearly 50%. The "Others" slice (13.88%) is mostly Hindu-generic markers like KUMARI and similar gendered honorifics, Bengali surnames, and OBC/SC associated names.

Gentle reminder - Seven reasons why India needs eggs on the menu of midday meals scroll.in/article/732805…

Join us for an insightful session of Food Talk: On Writing About Food hosted by Know Your Neighbour (an initiative of Sabar Institute). Explore how culinary narratives uncover culture, memory, and heritage with our featured speaker, Dr. Ishita Dey (Assistant Professor, Department of Sociology, South Asian University), alongside moderators Laiba Akhtar and Sumaiya Shahid. 🗓️ Date: Monday, June 29, 2026 🕒 Time: 03:30 PM 📍 Venue: 44/1A, Manasatala Lane, Khidirpur, Kolkata 700023 📲 How to join: Scan the QR code in the image to register! #seminar #culture #food #kolkata #events

Read the thread by @SabarInstitute_ below. A fascinating text analysis of the West Bengal budget. Echoes what @AiyarYamini and I observed here: epw.in/journal/2024/4…

📌 The data reveals a consistent structural pattern: the register of beneficence ie "provide", "support", "ensure", "facilitate", occupies the space where rights-based language would conventionally appear. Constitutional reference terms ("justice", "equality", "rights", "fraternity", "secularism") score zero across 14,350 words, while civilisational-cultural vocabulary ("Shakti", "heritage", "Bhakti", "civilisational") functions as the speech's primary normative frame. This is a textual finding, not an inference. Budget speeches are genre-constrained documents, and a comparative analysis against prior WB budgets would establish whether this pattern is statistically anomalous. What this analysis can claim with precision is narrower: across 14,350 words of official text, not one of the eleven values named in the Preamble of the Indian Constitution appears in a civic-political sense. #DataForBetterLives

📌 The identity-adjacent terms tell an equally sharp story: Women: 22 ✅ Tribal: 5 ✅ Scheduled Caste: 4 ✅ Minority: 1, only as a department name ("Minority Affairs & Madrasah Education") Muslim: 0 Hindu: 0 Dalit: 0 Bengali (as identity): 0 Transgender: 0 And on religious infrastructure: Temple: 6 · Mosque: 0 · Church: 0 [7/8]

🧵 Beyond the headlines: an #NLP analysis of the West Bengal Budget 2026–27 speech 14,350 words, dozens of themes and some clear patterns. Here's what the data says 🧵[1/8] #DataForBetterLives

Law as a tool for social change. ⚖️🌱 Seeing our interns connect legal theory with real-world public outreach is exactly why we do what we do. A huge thank you to Kayanath for her dedication during her internship with the SIR Legal Aid Initiative! We are thrilled to have played a part in motivating your journey as a future judiciary professional. 🌟⚡ Ready to drive positive change this summer? Connect with us to explore our open internship opportunities. 📥 Apply via WhatsApp: +91 8585859971 🌐 Learn more: sabarinstitute.org #InternsOfSabar #LegalAid #SocialChange #JudiciaryAspirant #SabarInstitute