News Analysis — 7 August 2026
Extending Creamy Layer to SC/ST is Parliament's Call, Not Court's: Centre Tells Supreme Court
In a counter-affidavit before the Supreme Court, the Centre has firmly maintained that applying the creamy layer principle to Scheduled Castes and Scheduled Tribes — unlike its application to OBCs — is a legislative question for Parliament alone, not a matter for judicial direction.
India's reservation system is rooted in Articles 15(4), 16(4), and 46 of the Constitution, which enable affirmative action for socially and educationally backward classes, SCs, and STs.
The constitutional basis for SC/ST reservation is Articles 341 and 342, which empower the President — not Parliament — to notify the SC/ST lists; but any modification to those lists can only be done by Parliament under Article 341(2).
- Creamy layer (OBCs): First introduced by the Supreme Court in Indra Sawhney v Union of India (1992, Mandal Commission case) — held that the most affluent/advanced 10% of OBCs ("creamy layer") should be excluded from OBC reservations, as they no longer need the same affirmative action. This principle applies only to OBCs, not SCs/STs.
- SC/ST exclusion from creamy layer: The Supreme Court in Ashoka Kumar Thakur v Union of India (2008) explicitly clarified that the creamy layer principle does not apply to SCs and STs, as their disadvantage stems from untouchability and isolation — not merely backwardness.
- Davinder Singh case (2024): A 7-judge Constitution Bench held that States can sub-classify within SC/ST categories for reservation purposes — allowing preferential treatment for the most backward among reserved category groups. The Centre's affidavit references this but maintains that income-based sub-quotas require empirical study and legislative mandate.
- Petition (filed June 2026): Sought Supreme Court directions to the Centre to frame guidelines introducing income-based sub-quotas within reserved categories — effectively applying a merit-cum-means filter inside SC, ST, OBC, and EWS reservations.
- Centre's counter-affidavit: Reservation criteria are based on "historical, social, and economic backwardness" — not income alone. SC disadvantage stems from untouchability; ST disadvantage from geographical isolation and cultural distinctness. These are categorically different from economic backwardness.
- Separation of powers argument: The Centre urged the Court to refrain from directing the executive to frame reservation policies without empirical data or legislative mandate — invoking the separation of powers doctrine. Policy decisions of this magnitude require holistic review and socio-economic data.
- Only Parliament can act: Citing E V Chinnaiah v State of AP (2005), the Centre reiterated that any exclusion of creamy layer from SC/ST reservations requires legislative action under Article 341(2) — it cannot be court-directed.
- Creamy layer vs. sub-classification: Creamy layer = exclusion of the most advanced from the reserved category altogether. Sub-classification = dividing the reserved category into sub-groups for proportional distribution. The Davinder Singh verdict (2024) allows the latter for SC/ST; the former remains off the table without Parliament.
- Article 341 vs. 342: Art. 341 — President notifies SC list; Parliament can modify. Art. 342 — same framework for ST. Neither can be altered by executive order or judicial direction alone.
- EWS reservation: The 103rd Constitutional Amendment (2019) introduced 10% reservation for Economically Weaker Sections — the one category where economic status alone determines eligibility. This is separate from SC/ST/OBC reservations and was upheld in Janhit Abhiyan v Union of India (2022).
- SEBC: Socially and Educationally Backward Classes — the constitutional term for OBCs, used in Art. 15(4) and 16(4).
The debate over extending the creamy layer principle to Scheduled Castes and Scheduled Tribes raises fundamental questions about the nature and purpose of India's reservation system. Examine the constitutional basis for the differential treatment of OBCs and SC/ST with respect to the creamy layer, and evaluate the Centre's argument that any modification requires parliamentary action rather than judicial direction. 15 marks · 250 words
Heatwaves and Lightning Now Notified Natural Calamities Under SDRF/NDRF: 16th Finance Commission Recommendation Implemented
Based on a recommendation of the 16th Finance Commission, heatwaves and lightning have been formally added to the list of notified natural calamities under the operational guidelines for the State Disaster Response Fund (SDRF) and National Disaster Response Fund (NDRF) — a significant step that unlocks central fiscal support for state relief operations targeting these increasingly frequent extreme weather events.
The SDRF and NDRF are India's primary fiscal instruments for disaster relief, established under the Disaster Management Act, 2005. The Finance Commission recommends the corpus and sharing ratio between Centre and States; the Home Ministry administers the operational guidelines, including the list of notified calamities that qualify for fund utilisation.
- SDRF: State-level fund; States can draw from it for relief operations when a notified calamity occurs. The Centre contributes 75% (90% for special-category states) of the SDRF corpus; States contribute the rest.
- NDRF: Centrally held fund; deployed for disasters of severe magnitude beyond a State's coping capacity, or for supplementing SDRF in case of large-scale disasters.
- Previous list (12 notified calamities): Cyclone, drought, earthquake, fire, flood, tsunami, hailstorm, landslides, avalanches, cloudburst, pest attack, frost and cold waves.
- New additions: Heatwaves and lightning — taking the total to 14 notified calamities, effective the award period 2026–31.
- 16th Finance Commission: Constituted under Art. 280 of the Constitution; chaired by Arvind Panagariya; covers the award period 2026–31. Its recommendation to include climate-sensitive extreme weather events reflects India's evolving risk profile under climate change.
- Heat stroke burden (2026): 4,853 heat stroke cases between March 1 and July 26, 2026; 20 confirmed deaths. States with highest cases: Telangana (915), West Bengal (733), Chhattisgarh (660).
- Lightning mortality: Lightning strikes kill approximately 2,000–2,500 people in India annually — more than cyclones or floods in most years — yet previously had no dedicated relief mechanism under SDRF.
- Climate trajectory: India's mean temperature has risen by about 0.7°C over 1901–2018. The Indian Meteorological Department's projections under IPCC RCP 8.5 scenario indicate a 4–5°C warming by end of century. Heatwave frequency, duration, and intensity are all increasing.
- Urban heat island: Cities face amplified heat risk due to the urban heat island (UHI) effect — dark surfaces, reduced vegetation, and waste heat from human activity raise urban temperatures 2–5°C above surrounding rural areas.
- States can formally route heatwave and lightning relief expenditures through SDRF without requiring ad-hoc justification — easing procurement of cooling centres, ORS distribution, medical assistance, and ex-gratia payments.
- Climate experts note this brings India's fiscal architecture closer to observed and projected risk — previously, states had to classify heatwave deaths under other calamities or use general budget funds.
- It also enables better data collection: states now have a fiscal incentive to report heatwave/lightning events formally, improving the official mortality and morbidity record.
- Limitation: Notification alone does not guarantee adequate relief — the SDRF corpus size per state determines actual capacity. Finance Commission recommendations on corpus size matter as much as the notified list.
- Disaster Management Act, 2005: The principal statute; establishes NDMA, SDMAs, NDRF, SDRF, and the National Disaster Management Plan.
- NDMA: National Disaster Management Authority — apex body chaired by the Prime Minister; issues guidelines for disaster management.
- IMD Heat Action Plans: IMD issues colour-coded warnings (Yellow → Orange → Red) for heatwaves; states are supposed to activate pre-defined cooling measures under Heat Action Plans. As of 2025, 23 states had notified HAPs.
- Heat stroke vs. heat exhaustion: Heat exhaustion is a precursor; heat stroke (core body temperature above 40°C with neurological symptoms) is the life-threatening emergency.
- 16th Finance Commission: Award period 2026–31; chaired by Arvind Panagariya; SDRF/NDRF corpus recommendations and notified calamity list changes fall within its mandate.
The inclusion of heatwaves and lightning in India's notified disaster list under SDRF/NDRF guidelines represents an evolution in disaster finance architecture. Examine the significance of this change in the context of India's increasing extreme weather vulnerability, and discuss what additional institutional and fiscal measures are needed to build comprehensive heat resilience, particularly for urban and agrarian populations. 15 marks · 250 words
Supreme Court Extends 10-km Mining Buffer to All Wetland Conservation Reserves; Asan Wetland Principle Now Nationwide
The Supreme Court has clarified that its February 2024 direction requiring prior environmental clearance before mining within 10 km of the Asan Wetland Conservation Reserve in Uttarakhand applies to all wetland conservation reserves across India — extending a Ramsar site judicial safeguard into a nationwide principle.
The Ramsar Convention on Wetlands (1971, Ramsar, Iran) is an international treaty for the conservation and wise use of wetlands of international importance.
India became a contracting party in 1982. Ramsar designation does not itself create statutory protection under Indian law — it commits India to maintaining the ecological character of designated wetlands through domestic legislation.
- India's Ramsar tally: 101 sites as of August 2026 (Glaw Lake, Arunachal Pradesh, added on 3 August 2026 as the 101st — and the state's first). India has the most Ramsar sites among Asian countries.
- Asan Wetland Conservation Reserve: Located at the confluence of Asan and Yamuna rivers in Uttarakhand; designated a Ramsar site in 2020; important habitat for migratory waterbirds.
- The 2024 interim order: Supreme Court directed that no mining within 10 km of Asan Wetland Conservation Reserve without prior approval from the NBWL Standing Committee and/or MoEFCC.
- Wetland Conservation Reserve: A category under the Wildlife (Protection) Act, 1972 — lesser protection than national parks/sanctuaries but more than unclassified wetlands. Unlike national parks, they have no statutory buffer zone in law.
- Wetlands (Conservation and Management) Rules, 2017: Replaced the 2010 Rules. The 2010 Rules contained an explicit list of prohibited activities and required EIA for specified projects in wetlands' "zone of influence." The 2017 Rules removed this explicit prohibition list and shifted regulation to State Wetland Authorities — effectively weakening central protection. Their constitutional validity is under challenge.
- No statutory buffer for wetland reserves: Unlike national parks and wildlife sanctuaries (which have mandatory ESZ of 1 km minimum under Supreme Court orders), wetland conservation reserves have no prescribed buffer. This gap is what the HC order now fills judicially.
- Comparison with protected areas:
- National parks/wildlife sanctuaries: mining prohibited under WPA, 1972 + 1 km court-mandated buffer (or ESZ if notified).
- Forests: diversion requires Centre's approval under Van Sanrakshan Adhiniyam, 1980 + EIA under 2006 Notification.
- Wetland conservation reserves (now): 10 km prior clearance from NBWL + MoEFCC (judicially imposed, not statutory).
- NBWL: National Board for Wildlife — chaired by the Prime Minister; its Standing Committee reviews projects in/near protected areas. Prior NBWL clearance is required for projects within national parks, wildlife sanctuaries, and now (judicially) wetland conservation reserves within 10 km.
- MoEFCC: Ministry of Environment, Forest and Climate Change — administers the Wetland Rules, EIA Notification, Forest Conservation Act.
- Eco-Sensitive Zones (ESZ): Declared around national parks/wildlife sanctuaries under EPA, 1986; regulate but do not prohibit most activities. The 1-km mining buffer applies where no larger ESZ exists.
- Ramsar vs. national park: Ramsar is an international designation with no direct domestic legal force; national park status under WPA, 1972 carries statutory prohibition on activities. Many Ramsar sites are also national parks; Asan is a wetland conservation reserve, not a national park.
India's Wetlands (Conservation and Management) Rules, 2017 have been criticised for weakening the protection that existed under the 2010 Rules. In this context, examine the significance of the Supreme Court's extension of the 10-km prior-clearance requirement for mining to all wetland conservation reserves, and discuss whether judicial activism can substitute for robust statutory wetland protection in the long run. 10 marks · 150 words
Europe 2026 Heatwave: Italy on Red Alert, Danube Falls, Nuclear Plants Strained — A Climate-Energy Nexus Warning
A severe heatwave gripping Central and Eastern Europe in August 2026 has placed all major Italian cities on a red health alert, driven record-low water levels on the Rhine and Danube, forced Hungary to shut its only nuclear plant, and exposed the cascading interdependencies between extreme heat, freshwater availability, and energy production.
- Europe's warming rate: Europe is warming approximately twice as fast as the global average — the fastest-warming continent. The 2003 European heatwave killed over 70,000 people; 2022's heatwave killed ~61,000. The 2026 event has driven Austria's national temperature record to 41.2°C.
- Climate-energy nexus: Hungary's sole nuclear plant uses the Danube for reactor cooling; record-low river levels forced its near-shutdown. Romania sank rock-filled barges to divert Danube water to its reactor — a measure of the energy vulnerability that low-water events create. The Rhine's low levels are disrupting grain and coal shipping in Germany.
- India relevance: The same dynamics apply to India's thermal power plants (which use river water for cooling) and run-of-the-river hydro projects — climate-induced river flow changes directly threaten energy security, a linkage that appears in GS-III questions on climate-energy interdependence.
- IPCC context: AR6 (2021-22) identifies Mediterranean Europe and South Asia as among the most climate-vulnerable regions. "Heat stress" on human health and "water-energy-food nexus" disruption are named as high-confidence risks under 2°C+ warming scenarios.
The 2026 European heatwave illustrates the cascading relationship between extreme heat, freshwater scarcity, and energy production disruption. Drawing lessons from Europe's experience, examine the vulnerabilities of India's energy and water infrastructure to climate-induced extreme weather events. 10 marks · 150 words
India's Gold Economy in Transition: Jewellery Demand Falls, ETF Investment Surges, and Households Pledge Rather Than Sell
India's relationship with gold is undergoing a structural shift: jewellery demand has fallen to its lowest levels since 2000, while gold ETFs hit record highs, gold-backed bank loans surged 94% year-on-year, and households increasingly use gold as collateral rather than liquidating it — revealing a dual-track economy that straddles tradition and modern portfolio management.
India is the world's second-largest gold consumer (after China). Gold imports are a major component of India's current account deficit (CAD) — historically accounting for 10–15% of total imports.
India holds an estimated 25,000+ tonnes of privately held gold (households + temples), one of the world's largest private gold stocks, equivalent in value to several years of its GDP.
- Gold imports add directly to the CAD; the RBI's foreign exchange reserve management and import duty on gold (currently 6% after the 2024 reduction from 15%) are calibrated to balance demand and CAD pressure.
- The price of gold has risen more than fivefold over the last decade — from approximately ₹28,000/10 grams in 2016 to over ₹1.5 lakh/10 grams in 2026. This price surge is both the cause and the effect of shifting demand patterns.
- Gold Monetisation Scheme (GMS, 2015): Attempted to mobilise idle household gold by allowing bank deposits earning interest on gold. Met with poor uptake due to taxation concerns and procedural complexity — highlighting the difficulty of formalising India's informal gold economy.
- Jewellery demand collapsing: H1 2026 jewellery demand fell 17.1% YoY to 141.2 tonnes — the second-lowest Q1 on record since 2000. In Q2 2026, jewellery formed only 30% of overall gold demand — the lowest share since WGC began tracking. Total H1 2026 gold demand: 282 tonnes (up 2% YoY), driven entirely by investment, not jewellery.
- Investment gold surging: Gold ETFs saw record net demand of 20 tonnes in Q1 2026. Bars and coins surged 21.3% in volume and 105.5% in value in H1 2026. Investment demand in Q2 was 54 tonnes — above the long-term quarterly average of 49 tonnes.
- Gold loans exploding: Outstanding retail bank gold loans: ~₹4.3 lakh crore by February 2026 (+124% YoY). Total banking system gold loan portfolio: ~₹5.4 lakh crore by June 2026 (+94% YoY). Households are monetising gold as collateral rather than selling — keeping recycled gold supply "muted" even as prices rise 60% YoY.
- RBI gold loan tightening: Given the 94% YoY surge in gold loans, the RBI has mandated that borrowers make full repayment of principal and interest before re-pledging the asset — preventing serial re-pledging that could create systemic risk in the gold loan sector.
- RBI's own gold purchases: The RBI stepped up gold purchases in 2025 as global prices rallied — helping cushion the impact of rupee depreciation and strengthening external balance.
- Current account relevance: If households substitute gold pledging for gold purchases (reducing new import demand), it could moderate CAD pressure. However, gold loan growth also signals liquidity stress among households who need cash without selling assets.
- Gold Monetisation Scheme (GMS) failure lesson: Despite India holding 25,000+ tonnes of private gold, formalising this stock requires addressing taxation clarity, procedural simplicity, and trust — not just product design. The RBI/government's next attempt will need to learn from GMS's poor uptake.
India's gold market is witnessing a structural transformation — from jewellery-dominated consumption to investment-led demand, accompanied by a surge in gold-backed lending. Analyse the macroeconomic implications of these trends for India's current account deficit, monetary policy, and financial stability. What policy reforms can unlock India's household gold stock as a productive financial asset? 15 marks · 250 words
The Beijing Model: How China Bridges the Innovation 'Valley of Death' Through State, University, and Market Integration
Beijing's innovation model — exemplified by the Zhongguancun research cluster and the Yizhuang industrial hub — deploys a "closed loop" of research universities, state-backed incubators, patient capital, and industrial clusters to bridge the "valley of death" between laboratory research and commercially viable products, now driving China's push in AI and humanoid robotics.
The "valley of death" in innovation refers to the funding gap between early-stage research (typically funded by universities or government grants) and commercially viable product development (typically funded by private venture capital).
Most research fails to cross this gap because VC investors want proof-of-concept before committing capital, while academic labs lack the capital to produce it.
- Zhongguancun Science and Technology Park (Z-Park): Located in northwest Beijing near Peking University and Tsinghua University; China's Silicon Valley. Home to companies including Lenovo, ByteDance (TikTok's parent), Baidu, and a dense cluster of AI and robotics startups.
- Tsinghua University: Consistently ranks among the world's top engineering universities; its graduates have founded or led major Chinese tech companies. Moonshot AI (Kimi K3 open-source model) is a recent example.
- Yizhuang Industrial Cluster: Beijing's southern industrial suburb; home to the state-run Beijing Humanoid Robot Innovation Centre — a hub-and-spokes model funnelling talent and IP to surrounding robotics companies.
- Tech managers as bridges: Beijing's "intelligent platform for results commercialisation" uses a cadre of technology managers who understand both research and market demands — translating lab results into business opportunities. In 2025, the platform executed 1.04 lakh tech contracts.
- State as equity investor: Unlike Western models where the state funds research but leaves commercialisation to the market, Beijing's state directly takes equity stakes in promising companies — bearing early losses and providing the "patient capital" that VC firms resist. This is a distinctive and controversial feature.
- University → Talent → Innovation → University virtuous cycle: Universities produce talent; talent provides intellectual support for companies; company success reinforces university funding and reputation. The cycle is self-reinforcing when working well.
- Full supply chain ambition: The Yizhuang humanoid robotics hub is designed to build a "full supply chain ready for mass production" — not just individual companies but an entire ecosystem of component suppliers, sensor manufacturers, actuator makers, and software developers.
- Humanoid robots at scale: Lingyi iTech (Yizhuang) began humanoid robot production in April 2026; targeting 20,000 units annually by end-2027, 1 lakh by 2028, 5 lakh by 2030. Cost is expected to halve between 2026 and 2030 as production moves from semi- to full automation.
- Healthcare demand driver: China's rapidly ageing population creates large projected demand for humanoid robots in healthcare, elder care, and rehabilitation — a domestic demand signal that justifies scale investment.
- Governance concern: The article notes a critical downside — wasteful spending when state funds skip due diligence. Chinese regulators issued new rules in June 2026 tightening how local governments spend innovation funds, after a spending splurge driven by inter-provincial competition for "national champions."
- India's innovation ecosystem (IITs, IISc, CSIR labs) has strong research output but limited technology transfer — the same "valley of death" problem. India's patent filings and tech transfer to industry lag significantly behind China.
- India's approach (Startup India, SIDBI Fund of Funds, PLI schemes) relies more on private market mechanisms; state equity investment in startups is rare and structurally difficult under existing procurement/fiscal rules.
- The IndiaAI Mission (₹10,371 crore outlay) and the proposed National Research Foundation attempt to build parts of this ecosystem — but without the university-industry linkage and technology manager cadre that make Beijing's model distinctive.
- Critical question: Can China's state-capital-driven model be replicated in a democratic, federally complex economy like India's? Or does India need a different institutional architecture for innovation?
China's Beijing innovation model integrates state capital, research universities, and industrial clusters to bridge the "valley of death" in technology commercialisation. Critically examine the features of this model, its role in China's AI and robotics advances, and assess whether India's innovation ecosystem can adopt similar approaches within its democratic and federal constraints. 15 marks · 250 words
94,000 Government Schools Closed in a Decade: Demographic Transition, Consolidation Policy, or Educational Retreat?
UDISE+ data shows that 94,000 government schools closed between 2014-15 and 2024-25 — even as private unaided schools expanded — raising a politically charged question: Is this a policy-driven consolidation aimed at improving quality, or a withdrawal from the state's constitutional obligation to provide accessible education?
Education is in the Concurrent List (List III, Entry 25 of the Seventh Schedule), allowing both Centre and States to legislate.
The Right of Children to Free and Compulsory Education (RTE) Act, 2009, mandates a neighbourhood school within 1 km for children in classes I–V, and within 3 km for classes VI–VIII. School closures in rural areas can directly violate the RTE's neighbourhood access norm.
- UDISE+: Unified District Information System for Education Plus — MoE's database covering all schools; the primary source of school-level education statistics in India.
- Demographic transition: India's Total Fertility Rate (TFR) has fallen from 3+ in the early 1990s to approximately 2.0 (below replacement level of 2.1). Fewer children means lower school-age population, driving natural decline in enrolment.
- PM SHRI Scheme: Pradhan Mantri Schools for Rising India — aims to develop 14,500 schools as model schools with improved infrastructure; an example of the "quality over quantity" approach to school policy.
- Schools: Total fell from 15.16 lakh (2014-15) to 14.71 lakh (2024-25) — a net decline of ~45,000. Government schools fell 94,000; private unaided schools expanded to partially offset this.
- Enrolment: Total student enrolment fell by 2.26 crore to 24.69 crore. Government school enrolment fell from 13.62 cr to 12.16 cr (2022-24); private school enrolment rose from 8.42 cr to 9.59 cr — showing a preference shift, not just demographic decline.
- Teachers: School teachers increased from ~90 lakh (2014-15) to over 1 crore (2024-25) — meaning more teachers, fewer students, and fewer schools. Average teachers per school improved from 5.9 to 6.9.
- Single-teacher schools problem: Thousands of government schools operate with one teacher handling multiple grades simultaneously — structurally incapable of providing subject-specific, grade-wise instruction. Consolidation into larger schools with 5–6 teachers addresses this.
- Access risk for vulnerable groups: Increased travel distances disproportionately affect girls (safety concerns, family resistance), children from tribal and remote communities, and younger children who cannot travel independently. RTE's neighbourhood access norm exists precisely for these groups.
- Transport as precondition: Consolidation without safe, free school transport effectively excludes the most vulnerable. Several states have not ensured transport infrastructure before closure.
- Private school migration: Government school closures in areas with growing private school presence may reflect parent preference rather than government withdrawal. But in rural and tribal areas with no private alternatives, closures leave children unserved.
Between 2014-15 and 2024-25, approximately 94,000 government schools closed in India, driven by a combination of demographic transition and consolidation policy. Critically examine whether school consolidation is compatible with the Right to Education Act's neighbourhood access mandate, and discuss the conditions under which consolidation can improve educational outcomes without compromising equity. 15 marks · 250 words
Nauru Officially Renamed Naoero — Pacific Nation Returns to Traditional Name
The Pacific Island nation of Nauru has officially renamed itself the Republic of Naoero — restoring its traditional name that was simplified to "Nauru" by German and later Australian colonial administrators.
The constitutional amendment was passed by Parliament in two rounds; the international code changes from NRU to NRO. Capital: Yaren. Population: ~12,000 — world's third-smallest by population after Tuvalu and Vatican City.
Nauru became independent in 1968 after German and Australian colonial rule; phosphate mining created wealth in the 1970s before the industry collapsed; the nation now faces existential threat from sea-level rise.
- Prelims hooks: Naoero (formerly Nauru) — world's smallest republic by area (21 sq km); third-smallest by population; only Pacific island nation with no official capital (Yaren is the de facto capital); joined India in recognising that name changes signal decolonisation (cf. Eswatini from Swaziland 2018; Türkiye 2022). Naoero has 101 Ramsar sites — wait, no — India has 101 Ramsar sites. Naoero is among the most climate-vulnerable nations globally; it pursues paid citizenship programmes to fund relocation of population ahead of sea-level rise.
India Road Accidents 2025: 5.13 Lakh Accidents, 1.83 Lakh Deaths; Good Samaritan Awards Fall 73%
Road accidents in India rose to 5.13 lakh in 2025 (+5.3% over 2024), with fatalities reaching 1.83 lakh (+3.5% over 2024's 1.77 lakh).
India accounts for approximately 11% of global road accident deaths despite having 1% of the world's vehicles — reflecting systemic infrastructure, enforcement, and awareness gaps.
Meanwhile, Good Samaritan awards declined sharply: from 384 (2023-24) to 177 (2024-25) to just 100 in 2025-26 — a 73% fall from the peak, raising concerns about the programme's effectiveness in incentivising bystander emergency assistance.
- Prelims hooks: Good Samaritan Law — Motor Vehicles (Amendment) Act, 2019; SC guidelines in Savelife Foundation v Union of India (2016) protect bystanders helping accident victims from police harassment and legal liability; MoRTH administers road safety; Bharat NCAP crash testing framework (launched 2023); iRASTE (Intelligent Solutions for Road Safety through Technology and Engineering) — MoRTH AI-based road safety project.
Glaw Lake, Arunachal Pradesh Becomes India's 101st Ramsar Site — State's First
Glaw Lake in Arunachal Pradesh was designated India's 101st Ramsar site on 3 August 2026 — making it the first Ramsar wetland in the state. India now leads all Asian countries in Ramsar site count.
The Ramsar Convention (1971, Iran) designates wetlands of international importance; India became a contracting party in 1982. India's most recent Ramsar additions include Ankasamudra Bird Conservation Reserve (Karnataka), Magadi Kere Conservation Reserve (Karnataka), and Karaivetti Bird Sanctuary (Tamil Nadu) from earlier in 2026.
- Prelims hooks: India — 101 Ramsar sites, most in Asia; Chilika Lake (Odisha) and Keoladeo Ghana (Rajasthan) were India's first two Ramsar sites (1981); Montreux Record — Ramsar sites of conservation concern; Wetland Mitranama scheme (community stewardship); India has ~4.6% of world's wetland area per WRI estimates.
