The Hindu
UPSC News Analysis
“Curated analysis for Prelims, Mains & Interview — from the lens of a UPSC topper.”
© 2026 Legacy IAS. All rights reserved. For internal educational use only.
Table of Contents
Delimitation Bill 2026 & Women’s Reservation — A Federal Fault Line
Constitution (131st Amendment) Bill, Delimitation Bill 2026 & the INDIA bloc’s opposition — a constitutional trifecta with deep federal implications.
- Parliament is set to debate the Constitution (131st Amendment) Bill and the Delimitation Bill, 2026, introduced to operationalise 33% women’s reservation under the Nari Shakti Vandan Adhiniyam (NSVA), 2023.
- The Bills propose raising Lok Sabha from 543 to 850 seats, using the 2011 Census as the basis for reallocation — which southern States argue will erode their proportional share.
- The INDIA bloc has unanimously decided to vote against the delimitation provisions, while clarifying it is not opposed to women’s reservation per se.
- Art. 81(2)(a): Mandates population-proportional allocation of Lok Sabha seats.
- 42nd Amendment (1976): Froze seat allocation to 1971 Census (extended by 84th Amendment to 2026).
- 84th Amendment (2001): Extended the freeze until the first Census after 2026.
- Nari Shakti Vandan Adhiniyam (2023): Guarantees 33% reservation for women in Lok Sabha and State Assemblies — but linked it to Census and delimitation.
- Delimitation Commission: A statutory body under the Delimitation Act that redraws constituency boundaries. Last national exercise was 2002–2008.
- Art. 82: Mandates delimitation after every Census; currently frozen.
- Art. 74 / 75: Council of Ministers size capped at 15% of Lok Sabha — expands proportionally if House size increases.
| Region | Current Share (543) | Projected Share (850 — 2011 Census) | Change |
|---|---|---|---|
| Hindi Heartland (UP, Bihar, MP, Raj, Har, CG, UK, Delhi) | 38.1% | 43.1% | +5% |
| South India (TN, Kerala, KA, AP, Telangana) | 24.3% | 20.7% | −3.6% |
| North-East | 4.4% | 3.8% | −0.6% |
| East (WB, Odisha, Jharkhand) | 14.4% | 13.7% | −0.7% |
- Equalises vote value across citizens regardless of State
- Operationalises long-pending women’s reservation
- Increases women MPs from 74 (13.6%) toward 33%
- Government assures 50% proportional rise for all States
- 2011 Census is the latest officially published data
- Punishes States that invested in population control
- No mechanism in the Bill to guarantee existing seat proportions
- Weakens Rajya Sabha relative to Lok Sabha (joint sitting imbalance)
- Uses outdated 2011 Census — bypasses caste census data
- SC/ST seats may not reflect current population strength
- Triple Linkage Problem: The 131st Amendment adds a third linkage — increased seats — on top of the Census and delimitation already in NSVA 2023. This makes implementation contingent on three separate processes.
- Federal Tension: Article 81(2)(a) rewards demographic weight, not developmental achievement — States with TFR below 2.1 (all southern States per NFHS-5) are penalised for responsible governance.
- Rajya Sabha Weakening: If Lok Sabha expands to 815, it will have 3.3× the strength of Rajya Sabha (245), creating dangerous joint-sitting arithmetic for the government with 53%+ Lok Sabha seats.
- SC/ST Under-representation: Using 2011 Census ignores the 2026 Census caste data — SC/ST reserved seats (currently 84+47) may not reflect their actual 2026 population strength.
- Precedent from Assam & J&K Delimitation: Both State-level exercises were widely criticised for politically motivated boundary drawing — a harbinger of what a national exercise might look like.
- Gerrymandering Risk: A Delimitation Commission “packed with government supporters” (as alleged by the Opposition) could redraw boundaries to benefit the ruling regime in 2029.
- Delink Women’s Reservation: Simple amendment to Art. 334A of the NSVA — delete the conditionality clause. Reservation can be implemented in existing 543 seats from 2029.
- Use 2026 Census: Conduct and publish Census before any delimitation, ensuring SC/ST/OBC data reflects current demographics.
- Statutory Guarantee: Insert an explicit clause in the Delimitation Bill guaranteeing no State loses proportional share — not just verbal assurance.
- Parliamentary Committee Referral: Bills of such constitutional magnitude must be referred to a Joint Parliamentary Committee for wider deliberation.
- Global Best Practice: Countries like Germany use compensatory seats to ensure proportional outcomes alongside constituency representation.
- SDG Linkage: SDG 5 (Gender Equality) and SDG 16 (Peaceful, inclusive institutions) both support women’s reservation — but not at the cost of federal equity.
- Art. 81: Composition of Lok Sabha; Art. 82: Readjustment after Census
- 42nd & 84th Amendments: Seat freeze history
- Delimitation Commission Act, 2002: Governs its composition and powers
- TFR below replacement level (2.1): All 5 southern States per NFHS-5
- Lok Sabha seat limit proposed to rise: 543 → 850
- Current women MPs in Lok Sabha: 74 (13.6%)
1. It is a permanent constitutional body established under Article 82.
2. Its orders have the force of law and cannot be challenged in any court.
3. The last national delimitation exercise was implemented in the 2009 General Elections.
Which of the above statements is/are correct?
- (a) 1 and 2 only
- (b) 2 and 3 only ✓
- (c) 1 and 3 only
- (d) 1, 2, and 3
Karnataka HC Directs “Strict & Faithful” Implementation of Menstrual Leave Policy
Karnataka High Court upholds menstrual leave policy pending enactment of Karnataka Menstrual Leave and Hygiene Bill, 2025 — a landmark step for women’s labour rights.
- The Karnataka High Court (Justice M. Nagaprasanna) directed the State government to “strictly and faithfully” implement its existing menstrual leave (ML) policy, which grants one day’s leave per month to women employees aged 18–52.
- The order came on a petition by a hotel worker from Belagavi district whose employer had denied the leave benefit.
- The court directed the State to issue guidelines and administrative instructions for uniform implementation across all sectors, including the unorganised sector, until the Karnataka Menstrual Leave and Hygiene Bill, 2025 is enacted.
- Article 42 (DPSP): State shall make provision for just and humane conditions of work and maternity relief.
- Article 15(3): State may make special provisions for women and children.
- Maternity Benefit Act, 1961 (amended 2017): Provides 26 weeks maternity leave for women in establishments with 10+ employees — does not cover menstrual leave.
- Bihar (1992) was the first State to introduce menstrual leave (2 days/month for government employees).
- Kerala (2023): Introduced menstrual leave for government employees. Zomato, Swiggy have announced voluntary policies.
- ILO Convention No. 183: Maternity protection — menstrual leave is an emerging dimension.
| Stakeholder | Concern/Position | Impact |
|---|---|---|
| Women Workers | Physical relief, dignity, productivity | 🟢 Positive — improved health & workplace inclusion |
| Employers (Organised) | Productivity loss, replacement cost | 🟡 Mixed — short-term cost, long-term retention gain |
| Unorganised Sector Workers | No formal employment contract, enforcement gap | 🔴 Challenge — difficult to enforce without legal backing |
| State Government | Policy exists, implementation machinery weak | 🟡 Administrative challenge — needs guidelines & monitoring |
| Women’s Rights Groups | Welcome the order, push for nationwide law | 🟢 Legal precedent for other States |
- Implementation Gap: A policy without enforcement teeth remains on paper. The unorganised sector (where the petitioner herself worked) has no formal HR department, no grievance mechanism, and fear of job loss prevents complaints.
- Stigma vs. Rights: Some feminist scholars argue menstrual leave may reinforce the idea that women are “incapable” during menstruation, potentially affecting hiring decisions.
- Coverage Gap: Maternity Benefit Act covers only establishments with 10+ workers. Millions of women in small shops, domestic work, and agriculture remain excluded.
- Global Comparison: Japan (1947), Indonesia, South Korea, Zambia, and Taiwan have statutory menstrual leave. Spain (2023) became the first European country to legislate paid menstrual leave.
- Health Angle: Dysmenorrhoea affects 50–90% of menstruating women globally; period poverty is a public health concern closely tied to women’s labour participation.
- Expedite the Karnataka Menstrual Leave and Hygiene Bill, 2025 with provisions covering the unorganised sector.
- Introduce a central legislation amending the Maternity Benefit Act to include menstrual leave for all women employees.
- Create anonymous grievance portals for women to report denial of menstrual leave without fear of retaliation.
- Sensitisation campaigns in workplaces — normalise menstrual health as a workplace right, not a stigma.
- Link with SDG 3 (Good Health) and SDG 5 (Gender Equality) and SDG 8 (Decent Work).
- Article 42 (DPSP): Just and humane conditions of work and maternity relief
- First State with menstrual leave: Bihar (1992)
- First European country with paid menstrual leave law: Spain (2023)
- Maternity Benefit (Amendment) Act, 2017: Increased leave to 26 weeks
(a) Article 39(a)
(b) Article 42
(c) Article 45
(d) Article 47
- (a) Article 39(a)
- (b) Article 42 ✓
- (c) Article 45
- (d) Article 47
IMD Forecasts Below-Normal Monsoon 2026: El Niño, Drought Risk & Food Security
India faces an 8% monsoon deficit in 2026 amid El Niño conditions — echoing 2015 patterns. What should the government do?
- The India Meteorological Department (IMD) has forecast 8% below-normal rainfall (±5% margin of error) for the June–September 2026 southwest monsoon season.
- IMD predicts a depressed second half (August–September) due to an emerging El Niño — a heating of the central equatorial Pacific beyond 1°C.
- Historical pattern: When IMD warns of a deficit in April, India has frequently experienced drought — notably 2015 (86% LPA) vs the forecast of 93% LPA.
- Long Period Average (LPA): 50-year average rainfall used as baseline (currently ~87 cm for India).
- El Niño: Periodic warming of central equatorial Pacific → weakens Indian Ocean thermal gradient → suppresses southwest monsoon. 9 out of 16 El Niño years since 1950 had deficient monsoons.
- Indian Ocean Dipole (IOD): Positive IOD can counter El Niño’s desiccating effect on Indian monsoon.
- IMD Classification: Normal (96–104% LPA), Below Normal (90–95%), Deficient (below 90%), Drought (below 90% spatially widespread).
- Note: IMD does not officially use the term “drought” — only “deficient.”
- West Asia Compounding Factor: The ongoing Iran war has disrupted fertilizer and LNG supplies from the Gulf — a drought year coinciding with a fertilizer shortage could be devastating for farmers.
- Reservoir Stress: Following two surplus years, reservoirs may be near full — but a poor monsoon rapidly depletes them; inter-basin distribution will be contested.
- Groundwater: Many regions are already in “overexploited” category per Central Ground Water Board — a drought year accelerates depletion.
- IMD Track Record: IMD has historically been more prone to under-predicting drought severity than over-predicting it — the true outcome may be worse than 8% deficit.
- Food Security: India has relatively comfortable buffer stocks — but pulses and oilseeds remain structurally deficit and a kharif failure would spike import bills.
- Immediate: Shore up fertilizer stocks (especially urea & DAP) from alternate suppliers; renegotiate supply chains away from Gulf-dependent routes.
- Water Management: Prioritise equitable distribution from stressed reservoirs; activate National Disaster Management Authority (NDMA) drought guidelines proactively.
- Agricultural Advisory: Promote drought-resistant varieties (millets — aligns with International Year of Millets legacy); shift sowing patterns based on IMD advisories.
- Crop Insurance: Strengthen Pradhan Mantri Fasal Bima Yojana — ensure timely payout for kharif crop losses.
- SDG 2 (Zero Hunger) and SDG 13 (Climate Action): Drought preparedness is both a climate adaptation and food security imperative.
- LPA (Long Period Average): 50-year baseline; currently ~87 cm
- El Niño: Central equatorial Pacific warming; opposite is La Niña
- IOD (Indian Ocean Dipole): Positive IOD counters El Niño’s impact on India
- IMD classification: Below Normal = 90–95% of LPA; Deficient = <90%
- IMD April 2026 forecast: 8% below normal (±5% margin)
1. El Niño refers to the periodic warming of the eastern equatorial Pacific Ocean.
2. A positive Indian Ocean Dipole (IOD) can partially counteract the negative effects of El Niño on Indian monsoon.
3. All El Niño years necessarily result in a deficient monsoon in India.
Which of the above statements is/are correct?
- (a) 1 only
- (b) 1 and 2 only ✓
- (c) 2 and 3 only
- (d) 1, 2, and 3
Predatory Digital Loan Apps — Regulatory Darkzone & the Death of Nithin Raj
Loan app suicides in Kerala highlight a dangerous gap between financial regulation and digital governance — demanding an OS-level, legislative and institutional response.
- Nithin Raj, a first-year dental student in Kannur, died after falling from a building — police identified harassment by a digital loan app as a contributing factor. His death is the third high-profile suicide linked to loan apps in Kerala in four months.
- These apps harvest contact lists, photo galleries, and GPS data — using them to humiliate and harass borrowers into repayment.
- Over 35 loan-app complaints registered in Thiruvananthapuram Rural alone since January 2026.
- RBI Digital Lending Guidelines (2022): Requires disclosure of all charges, disbursal only to bank accounts, no data access beyond business purpose — but predatory apps operate outside RBI’s regulatory perimeter.
- NBFC (Non-Banking Financial Companies): Regulated by RBI; predatory apps falsely claim NBFC partnerships to lend without regulation.
- IT Act, 2000 / IT (Amendment) Act, 2008: Provides for data protection but lacks specific provisions on financial data harvesting.
- DPDP Act, 2023 (Digital Personal Data Protection): Enacted but rules not yet fully operational — specifically relevant here as apps harvest personal data.
- IPC Sections (extortion, harassment): Apply in principle, but app operators are often based in other States or countries.
- Regulatory Dark Area: RBI regulates financial entities; the harm occurs at the app and data layer — beyond RBI’s conventional jurisdiction. This is a structural gap.
- DPDP Act Implementation Lag: The 2023 Act could address data harvesting, but rules are not yet notified — perpetrators exploit this window.
- Cross-State Jurisdiction Problem: App call centres are often in other States; local police have no jurisdiction. Requires a central agency (CBI / CERT-In) intervention.
- Re-launch Loophole: When an app is removed from Play Store/App Store, developers immediately relaunch under new names — making app-store removal ineffective.
- Gender Dimension: Women borrowers face additional threats of morphed photographs being sent to contacts — a deeply gendered form of digital violence.
- GS-IV Angle (Ethics): Exploitation of financial vulnerability, especially of youth, raises serious questions about corporate ethics, state duty of care, and the ethics of technology design.
- Short-term: App stores must verify all financial apps against RBI whitelist before listing; mandatory cryptographic NBFC certificate.
- Legislative: Enact a dedicated Digital Lending Regulation Act with prison sentences and heavy fines for illegal digital lending operations.
- OS-level: Smartphone makers to implement sandboxes preventing financial apps from accessing contacts, photos, GPS even if user grants permission.
- Disclosure: Mandatory disclosure of Effective Annual Percentage Rate (APR) before loan disbursement; caps on recovery conduct.
- Central Helpline: A 24×7 digital lending helpline (akin to Cyber Crime Portal 1930) for immediate intervention when harassment begins.
- Expedite DPDP Act rules — particularly around consent architecture for financial apps.
- RBI Digital Lending Guidelines: Issued August 2022 — directed disbursal only to bank accounts, no third-party disbursals
- DPDP Act, 2023: India’s first comprehensive personal data protection law
- NBFC: Regulated by RBI under RBI Act, 1934 — but cannot accept demand deposits
- CERT-In: Computer Emergency Response Team — India’s nodal agency for cybersecurity
1. It applies to processing of digital personal data within India.
2. It establishes a Data Protection Board of India for adjudication of complaints.
3. The Act prohibits targeted advertising to children.
Which of the above statements is/are correct?
- (a) 1 and 2 only
- (b) 2 and 3 only
- (c) 1, 2, and 3 ✓
- (d) 3 only
Iran-US Ceasefire at Risk: Red Sea Closure Threat & India’s Energy Security
Iran threatens to close the Red Sea and Strait of Hormuz unless the US lifts its naval blockade — with major implications for global energy supply chains and India’s import bill.
- Iran’s military threatened to shut down Red Sea, Sea of Oman and Persian Gulf trade unless the US lifts its naval blockade on Iranian ports — putting the two-week ceasefire at risk.
- Pakistan’s Army chief visited Tehran as a mediator — Islamabad is holding discussions with both Washington and Tehran.
- India’s exports fell 7.44% in March to $38.92 bn; imports fell 6.51% — largely due to the West Asia crisis. WPI inflation hit a 38-month high of 3.88% driven by fuel and power costs.
- India is lapping up Venezuelan and Russian crude as Persian Gulf supply disruptions continue — 17 tankers from Russia tracked crossing the Suez toward India.
- Strait of Hormuz: Connects Persian Gulf with Gulf of Oman — ~20% of global oil & LNG shipments pass through it. Controlled by Iran on one side and Oman on the other.
- Bab-el-Mandeb Strait: Entry to Red Sea from Gulf of Aden — Houthi attacks (2023–25) had already disrupted this route.
- India’s energy exposure: India imports ~85% of its crude oil; Middle East accounted for ~60% historically. Diversification toward Russia post-Ukraine war.
- BIMCO: Baltic and International Maritime Council — one of world’s largest shipping associations; tracks seaborne trade data.
- WPI (Wholesale Price Index): Measures average change in prices of goods at the wholesale level — fuel & power basket is a key component.
| Indicator | Before Crisis | March 2026 | Impact |
|---|---|---|---|
| India’s Exports | ~$41.9 bn (Mar 2025) | $38.92 bn | ↓ 7.44% |
| India’s Imports | ~$63.7 bn (Mar 2025) | $59.59 bn | ↓ 6.51% |
| Trade Deficit | ~$21.8 bn | $20.67 bn (9-month low) | Narrowed |
| WPI Inflation | 2.13% (Feb 2026) | 3.88% | 38-month high |
| Airfares (Delhi-Mumbai) | ₹6,000 (Apr 2025) | ₹8,400 | ↑ 40% |
| Global crude shipments | Pre-war baseline | ↓ 16% (9.5% of global production offline) | Major disruption |
- India’s Strategic Dilemma: India has historically maintained a “Strategic Autonomy” posture — buying Russian crude at discount while remaining a US partner. The Iran crisis tests this balancing act further.
- Fertilizer-Monsoon Double Shock: West Asia is a major source of natural gas (fertilizer precursor) — a supply disruption in a drought year creates a compounded agricultural crisis risk.
- Pakistan as Mediator: Pakistan’s role as an interlocutor between the US and Iran gives it strategic relevance but also risks — failure could escalate tensions on India’s western flank.
- Energy Transition Urgency: The crisis underscores India’s vulnerability to imported fossil fuel dependency — a push for renewables is both an economic and national security imperative.
- Gems & Jewellery Export: Exports fell to a 5-year low of $27.72 bn in 2025-26 — partly due to Middle East disruptions and US tariffs, affecting a key labour-intensive sector.
- Energy Diversification: Accelerate oil import diversification — Russia, Venezuela, West Africa, US (WTI crude) as alternative sources.
- Strategic Petroleum Reserve (SPR): India has SPR in Visakhapatnam, Mangaluru, Padur — ensure full utilisation during crisis; expand capacity.
- Diplomatic Engagement: India should use its unique relationship with both Iran and the US to serve as a back-channel mediator (strategic autonomy as diplomatic asset).
- Renewable Push: Fast-track 500 GW renewable energy by 2030 target; domestic solar/wind reduces crude import dependency.
- Support Indian exporters through export credit insurance (ECGC) and market diversification away from Middle East routes.
- Strait of Hormuz: Between Iran and Oman — 20% of global oil/LNG passes through
- BIMCO: Baltic and International Maritime Council — shipping industry association
- India’s SPR locations: Visakhapatnam, Mangaluru, Padur (Karnataka)
- WPI vs CPI: WPI measures wholesale prices; CPI measures retail/consumer prices
- India’s crude oil import dependency: approximately 85% of total consumption
1. India currently has three underground rock cavern SPR facilities at Visakhapatnam, Mangaluru, and Padur.
2. The SPR is managed by the Indian Strategic Petroleum Reserves Limited (ISPRL) under the Ministry of Petroleum.
3. India’s SPR capacity is sufficient to meet approximately 9–10 days of India’s crude oil consumption.
Which of the above statements is/are correct?
- (a) 1 only
- (b) 1 and 2 only
- (c) 1, 2, and 3 ✓
- (d) 2 and 3 only
Neuromorphic Computing: Brain-Inspired Memristors to Slash AI Energy Consumption by 70%
Cambridge researchers report a hafnium-oxide memristor that stores and processes data at the same location — mimicking the brain’s synaptic architecture with 70% less energy.
- Researchers at the University of Cambridge have developed a new hafnium-oxide memristor — a brain-inspired nanodevice that stores and processes data in the same component, potentially cutting AI energy consumption by over 70%.
- Published in Science Advances (March 20, 2026), the device addresses the fundamental “von Neumann bottleneck” — the energy cost of moving data between separate memory and processor units.
- The device requires a million-times less current to switch between resistance states compared to conventional oxide memristors.
- Von Neumann Architecture: Conventional computer design separating memory (DRAM) and processor (CPU/GPU) — data must travel between them, creating an energy-intensive bottleneck.
- Memristor: Portmanteau of “memory” + “resistor” — a device with variable, programmable resistance that it remembers after current is removed. Proposed theoretically by Leon Chua (1971); first physical device by HP Labs (2008).
- Neuromorphic Computing: Engineering approach that mimics the brain’s neural architecture — synapses (connections) store and process locally, enabling massive parallelism at low power.
- Human Brain vs AI:** Brain performs ~10¹⁴ synaptic operations/second on ~20W. A comparable AI model needs thousands of times more power.
- Hafnium Oxide (HfO₂): Already used in advanced CMOS transistors — making this memristor compatible with existing semiconductor manufacturing.
- Spike-Timing-Dependent Plasticity (STDP): Biological learning rule mimicked by the new memristor — strengthens/weakens connections based on timing of neural signals.
Memory (DRAM) — separate
Processor (GPU) — separate
→ Data travels between them
→ High energy cost
Memory + Processing = SAME device
→ No data travel needed
→ 70% less energy
→ Mimics brain synapses
- Fabrication Temperature Challenge: Current prototypes require ~700°C — far higher than commercial semiconductor processes. This is the key barrier to industrial scalability.
- Data Centre Energy Crisis: AI model training and inference consume enormous electricity — global data centres account for ~1–2% of global electricity use, projected to double by 2030. Neuromorphic chips address this structurally.
- India’s Semiconductor Opportunity: India’s semiconductor mission (India Semiconductor Mission — ₹76,000 crore) provides an opportunity to leapfrog into neuromorphic chip design rather than replicating legacy silicon architectures.
- Retention Limitation: Current device retains programmed states for ~1 day — adequate for on-chip learning tasks but not for long-term memory applications.
- National Security Dimension: Energy-efficient AI chips reduce dependence on GPU-intensive data centres — relevant for sovereign AI infrastructure and military applications (edge AI on drones, satellites).
- India Semiconductor Mission: Include neuromorphic chip research as a dedicated vertical — partner with Cambridge, MIT, and domestic IITs.
- Establish National Neuromorphic Computing Centre under DST/MeitY — coordinate research and industry translation.
- Incentivise energy-efficient AI chip design under PLI (Production Linked Incentive) Scheme for Semiconductors.
- Integrate neuromorphic computing into National AI Mission roadmap — particularly for edge computing in agriculture, healthcare, and defence.
- SDG 7 (Affordable and Clean Energy): Reducing AI energy consumption aligns with the global sustainability agenda.
- Memristor: Memory + Resistor; proposed by Leon Chua (1971); first device HP Labs (2008)
- Von Neumann Architecture: Separate memory and processing — basis of all modern computers
- Neuromorphic Computing: Brain-inspired computing mimicking synapses and neurons
- CMOS: Complementary Metal-Oxide-Semiconductor — dominant technology in modern chips
- India Semiconductor Mission: ₹76,000 crore outlay to build semiconductor ecosystem in India
- HfO₂ (Hafnium Oxide): Already used in CMOS transistors — enables manufacturing compatibility
1. It aims to replicate the brain’s architecture using hardware that mimics synapses and neurons.
2. A memristor is a passive two-terminal electronic device whose resistance depends on the history of the current that has flowed through it.
3. Neuromorphic chips require significantly more power than conventional GPU-based AI systems.
Which of the above statements is/are correct?
- (a) 3 only
- (b) 1 and 3 only
- (c) 1 and 2 only ✓
- (d) 1, 2, and 3
Frequently Asked Questions — UPSC Exam Oriented
SEO-optimised questions for UPSC aspirants preparing GS Papers and Interview.


