UPSC Mains & Prelims · Daily Analysis
The Hindu
UPSC News Analysis
Structured insights for Civil Services aspirants — GS I · II · III · IV · Essay
📰 Wednesday, May 13, 2026 — Bengaluru City Edition
📋 Table of Contents
- 1NEET-UG 2026 Cancelled — Systemic Failure & NTA ReformsGS-II · Governance
- 2India’s Water Governance — From Scarcity to SustainabilityGS-III · Environment
- 3IMD Block-Level Monsoon Forecast — Precision AgricultureGS-III · Sci & Tech
- 4CBI Director Selection — Institutional Independence & DissentGS-II · Polity
- 5Human-Wildlife Conflict — Socio-Ecological ChallengeGS-III · Environment
- 6FTA Implementation Gap — CEA’s WarningGS-III · Economy
- 7PLFS 2025 — Youth & Women’s Unemployment in IndiaGS-III · Economy
- 8Cancer Immunotherapy & Blood-Brain BarrierGS-III · Sci & Tech
- 9FAQs for UPSC RevisionRevision
GS-II · Governance · Education
NEET-UG 2026 Cancelled — Full-Scale Examination Failure & NTA Reform Imperative
CBI probe, CBT transition debate, structural reform demands, 22 lakh students affected
🔹 A. Issue in Brief
- The NTA cancelled NEET-UG 2026 (held May 3) after a whistleblower’s complaint (May 7) revealed a handwritten “guess paper” circulating digitally that matched the actual question paper — the first full-scale cancellation in NEET’s 13-year history.
- The CBI has registered a case; the Rajasthan SOG’s preliminary inquiry showed the “guess paper” originated in Sikar and circulated for days before the exam. Maharashtra Police arrested one suspect from Nashik.
- 22 lakh students face re-examination; no fee for re-test; registration data carried forward. Re-test within 7–10 days per NTA. Key expert demand: shift to Computer-Based Test (CBT) format.
🔹 B. Static Background
- NEET-UG history: First conducted 2013 by CBSE; SC revived it in 2016 after temporary rollback; NTA took over from CBSE in 2019; ~22–24 lakh candidates annually for 2.5 lakh+ seats.
- NEET 2024 controversy: Grace marks for 1,563 candidates due to exam time loss; allegations of paper leak; SC scrutiny; K. Radhakrishnan Committee formed; UGC-NET cancelled; High-level reform committee recommendations pending.
- Public Examinations (Prevention of Unfair Means) Act, 2024: Up to 10 years imprisonment + ₹1 crore fine for paper leak, impersonation, organised exam fraud. First major test is NEET 2026.
- NTA (National Testing Agency): Autonomous body under Ministry of Education, set up 2017; conducts NEET, JEE Main, CUET, UGC-NET.
- Computer-Based Test (CBT) challenge: NTA has CBT capacity for only 1.5 lakh students/day — conducting NEET via CBT for 22 lakh students would require 22+ days, multiple question sets, and complex score normalisation.
🔹 C. NEET Paper Leak — Recurring Pattern Timeline
| Year | Issue | Action Taken | Outcome |
|---|---|---|---|
| 2013 | NEET introduced — first conduct | — | SC upheld NEET as constitutional |
| 2016 | SC restored NEET after State pullback | Uniform national exam mandated | Single entrance for all medical courses |
| 2019 | NTA took over from CBSE | Centralisation of exam | Higher stakes, single point of failure |
| 2024 | Grace marks, paper leak allegations; SC scrutiny | K. Radhakrishnan Committee; UGC-NET cancelled; limited re-test (1,563 students) | Reforms recommended but not fully implemented |
| 2026 | Full cancellation — handwritten “guess paper” matched actual paper; CBI case registered | Re-test planned; CBT debate reignited | 22 lakh students affected; systemic failure confirmed |
🔹 D. Critical Analysis
Pen-and-paper format is the structural weak link: Question papers must be physically printed, transported, and stored — each step is a vulnerability. Even one photo of the paper is sufficient to breach the system. With 22 lakh aspirants and massive monetary incentives (₹30,000–₹5 lakh per leaked paper), the temptation to exploit the system structurally exceeds current deterrence.
NTA’s delayed detection: Exam on May 3; NTA received whistleblower complaint on May 7 (four days later). There is no real-time intelligence monitoring of pre-exam digital chatter on WhatsApp/Telegram — a clear operational failure for India’s largest entrance exam authority.
CBT transition — not a silver bullet: CBT eliminates physical paper leak risk but introduces cybersecurity vulnerabilities — server hacking, screen capture, remote assistance. Moreover, India’s connectivity infrastructure in Tier 3 and rural areas cannot support 22 lakh students in CBT simultaneously. A hybrid solution with encrypted paper distribution and randomised question sets may be more feasible.
Social justice dimension: Paper leaks disproportionately harm meritorious students from non-affluent backgrounds who cannot afford ₹5 lakh for a leaked paper. Wealthy aspirants gain an unfair advantage — this is a fundamental Article 14 (equality) violation embedded in systemic corruption.
🔹 E. Way Forward
- Implement K. Radhakrishnan Committee recommendations immediately — multiple question sets with randomisation, encrypted distribution, end-to-end CCTV coverage at printing houses.
- Gradual CBT transition: Begin with optional CBT centres in metros; scale up over 3–5 years to reach capacity for 22 lakh students before full mandatory transition.
- Decentralise admissions: Consider allowing States to conduct their own medical entrance exams for State quota seats (as was the pre-2016 system) — reduces single point of failure.
- Exemplary prosecution under the Public Examinations Act 2024 — first convictions under the Act will create deterrence.
- Link with Article 21A (Right to Education), Article 14 (Equality before law), and SDG 4 (Quality Education).
🔹 F. Exam Orientation
📌 Prelims Pointers
- NTA established: 2017 under Ministry of Education; autonomous body for conducting high-stakes entrance exams.
- NEET first full cancellation: 2026 (first in 13-year history); earlier 2024 had limited re-test for 1,563 students with grace marks issue.
- Public Examinations Act 2024: Up to 10 years imprisonment; ₹1 crore fine; covers paper leak, impersonation, cheating syndicates.
- K. Radhakrishnan Committee: Expert committee formed after NEET 2024 controversy to review NTA functioning and recommend structural reforms.
- CBT capacity constraint: NTA can conduct CBT for only ~1.5 lakh students/day — 22 lakh NEET candidates would need 22+ days of testing.
📝 Model Mains Question (GS-II · 15 Marks)
“The repeated examination integrity failures in India’s national-level medical entrance test expose systemic institutional weaknesses. Critically analyse the causes and suggest a comprehensive governance reform framework for high-stakes examinations.”
Hint: NTA structure, paper-based vs CBT, K. Radhakrishnan report, Public Examinations Act 2024, decentralisation, social justice angle, Article 14, SDG 4. ~250 words.🎯 Probable UPSC Prelims MCQ
Q. Consider the following about the National Testing Agency (NTA):
1. It was established in 2017 under the Ministry of Education as an autonomous body.
2. NTA took over conduct of NEET-UG from CBSE in 2019.
3. NTA is a constitutional body created under Article 323-B of the Constitution.
Which of the above is/are correct?
1. It was established in 2017 under the Ministry of Education as an autonomous body.
2. NTA took over conduct of NEET-UG from CBSE in 2019.
3. NTA is a constitutional body created under Article 323-B of the Constitution.
Which of the above is/are correct?
- (a) 1 only
- (b) 1 and 2 only ✓
- (c) 2 and 3 only
- (d) 1, 2 and 3
Explanation: Statement 3 is incorrect — NTA is not a constitutional body; it is a statutory autonomous body under the Ministry of Education. Article 323-B relates to tribunals for other matters. Statements 1 and 2 are correct.
GS-III · Environment · Water Governance
India’s Water Governance — From Scarcity to Sustainability
Jal Jeevan Mission, Atal Bhujal Yojana, groundwater crisis, circular water economy
🔹 A. Issue in Brief
- India receives ~4,000 BCM of annual rainfall but uses only ~1,100 BCM efficiently — the crisis is institutional, not hydrological. Per capita water availability has fallen from 5,000 m³/person (at Independence) to ~1,400 m³/person today.
- India is the world’s largest groundwater user (accounting for ~25% of global extraction), with 600 million people facing high to extreme water stress (NITI Aayog CWMI).
- The article outlines India’s multi-mission approach (Jal Jeevan, Atal Bhujal, PMKSY, AMRUT, Namami Gange) and calls for a circular water economy integrating governance, technology, and community participation.
🔹 B. Static Background
- Constitutional position: Water is in the State List (Entry 17, Seventh Schedule); Centre can legislate on inter-State rivers and river valleys (Entry 56, Union List). Ministry of Jal Shakti (formed 2019) is the nodal ministry.
- SDG 6: Clean Water and Sanitation — India’s water governance is directly linked to achieving SDG 6 by 2030.
- Key institutions: Central Water Commission (surface water, river basin development); Central Ground Water Board (CGWB — groundwater assessment); NITI Aayog CWMI (benchmarking States’ water governance).
- Key missions:
- Jal Jeevan Mission (2019): Tap water connections to rural households; extended to 2028; ~12 crore connections provided.
- Atal Bhujal Yojana: Participatory groundwater management in 7 water-stressed States; community-based budgeting.
- PMKSY: Pradhan Mantri Krishi Sinchayee Yojana — micro-irrigation; “More crop per drop.”
- AMRUT: Urban water supply and sewage treatment.
- Namami Gange: Ganga rejuvenation — pollution control, ecological restoration.
🔹 C. India’s Water Crisis Mind Map
💧 India’s Water Governance Challenge
📉 Demand Side
- Agriculture: 78–80% of water use
- India: world’s largest GW user
- Per capita: 1,400 m³ (falling)
- 600 mn in high water stress
🏛️ Institutional Gaps
- Water in State List — fragmented governance
- No unified national water law
- Poor wastewater recycling
- Urban-rural coordination deficit
🌿 Ecological
- Declining wetlands
- River encroachment
- Groundwater depletion
- El Niño threats to rainfall
✅ Policy Responses
- Jal Jeevan Mission (2019–2028)
- Atal Bhujal Yojana
- PMKSY (micro-irrigation)
- AMRUT, Namami Gange
🔹 D. Critical Analysis
Federalism challenge: Water being a State subject means national water governance is fragmented. States have divergent groundwater laws, irrigation pricing, and pollution standards. There is no national groundwater protection law despite India being the world’s largest groundwater user.
Jal Jeevan Mission — quality vs. quantity: JJM has achieved impressive tap connection numbers (~12 crore), but water quality at source (arsenic, fluoride contamination), reliability of supply (intermittent connections), and wastewater disposal remain inadequately addressed. A tap connection is not the same as safe, reliable water access.
Circular water economy: India recycles only 30% of urban wastewater — far below Israel (~90%) or Singapore (~40%). Expanding wastewater reuse in cities can reduce freshwater demand by 20–30%. This requires regulatory mandates, incentives, and private sector investment.
Agriculture paradox: Agriculture consumes 78–80% of India’s water, yet water pricing in irrigation is heavily subsidised, creating wasteful use incentives. PMKSY promotes micro-irrigation, but adoption remains below 20% of irrigated area due to upfront cost barriers for small farmers.
🔹 E. Way Forward
- National Groundwater Protection Law: India urgently needs a comprehensive legislation to regulate groundwater extraction, recharge mandates, and aquifer protection — currently lacking despite CGWB’s advisory role.
- Circular water economy: Mandate treated wastewater reuse in industry and urban landscaping; expand decentralised sewage treatment plants in all urban local bodies (Article 243W — municipal functions include sanitation).
- Water pricing reform: Introduce volumetric water pricing in agriculture with progressive tariff — free for subsistence use, charged for commercial excess — to reduce wasteful irrigation.
- River basin planning: Move from State-centric water management to integrated river basin authorities (similar to Tennessee Valley Authority model) with scientific data governance.
- Link with SDG 6 (Clean Water), SDG 2 (Food Security through irrigation), and SDG 13 (Climate Action — water-climate nexus).
🔹 F. Exam Orientation
📌 Prelims Pointers
- NITI Aayog CWMI: Composite Water Management Index — benchmarks States on water governance; NITI Aayog reports 600 million facing high to extreme water stress.
- Central Ground Water Board (CGWB): Under Ministry of Jal Shakti; assesses groundwater resources; provides scientific inputs for sustainable aquifer management.
- Atal Bhujal Yojana: World Bank-supported; participatory groundwater management in 7 States (Gujarat, Haryana, Karnataka, MP, Maharashtra, Rajasthan, UP).
- Jal Jeevan Mission: Launched 2019; target: tap connections to all rural households; extended to 2028; ~12 crore connections so far.
- Water — State List: Entry 17, Seventh Schedule; inter-State river regulation — Entry 56, Union List.
- Per capita water availability: Fell from 5,000 m³ (post-Independence) to ~1,400 m³ today; “water-stressed” threshold is 1,700 m³/person/year (UN standard).
📝 Model Mains Question (GS-III · 15 Marks)
“India’s water crisis is as much institutional as it is hydrological. Examine the key challenges in India’s water governance and evaluate the effectiveness of major national water missions in addressing them.”
Hint: Constitutional position of water, CWMI, groundwater depletion, JJM (quality vs quantity), Atal Bhujal, PMKSY, circular water economy, federalism challenge. ~250 words.🎯 Probable UPSC Prelims MCQ
Q. With reference to water governance in India, which of the following is/are correctly matched?
1. Jal Jeevan Mission — Tap water connections to all rural households
2. Atal Bhujal Yojana — Community-based participatory groundwater management
3. Central Water Commission — Groundwater assessment and aquifer mapping
4. PMKSY — Micro-irrigation and “More crop per drop”
Select the correct answer:
1. Jal Jeevan Mission — Tap water connections to all rural households
2. Atal Bhujal Yojana — Community-based participatory groundwater management
3. Central Water Commission — Groundwater assessment and aquifer mapping
4. PMKSY — Micro-irrigation and “More crop per drop”
Select the correct answer:
- (a) 1, 2 and 3 only
- (b) 1, 2 and 4 only ✓
- (c) 2, 3 and 4 only
- (d) 1, 2, 3 and 4
Explanation: Statement 3 is incorrectly matched — groundwater assessment and aquifer mapping is the function of the Central Ground Water Board (CGWB), not the Central Water Commission. CWC focuses on surface water, river basin development, and flood control. Statements 1, 2, and 4 are correctly matched.
GS-III · Science & Technology · Agriculture
IMD Block-Level Monsoon Forecast — Precision Weather for Farmers
AI-blended model, 3,196 blocks, 15 States, El Niño threat, agriculture advisory integration
🔹 A. Issue in Brief
- The India Meteorological Department (IMD) unveiled a new forecast system that will, for the first time, generate “block-level” forecasts of the monsoon’s arrival for 3,196 blocks across 15 States and one UT — covering the “monsoon core zone” of rainfed India.
- The system blends two forecasting models using AI-based analysis, IMD’s ~100-year meteorological data archive, and global weather models to provide 4-week probabilistic forecasts at unprecedented granularity.
- The system faces its first major test with a developing El Niño expected to cause below-normal rainfall from July — critical for farmer sowing decisions across Kharif season.
🔹 B. Static Background
- IMD: India Meteorological Department — under Ministry of Earth Sciences; established 1875; India’s apex weather forecasting authority.
- Current forecast resolution: State-level and district-level monsoon onset forecasts; Mumbai monsoon arrival ~June 10; Delhi ~June 29. Block-level (sub-district) is a new capability.
- Indian Institute of Tropical Meteorology (IITM): Under Ministry of Earth Sciences; developed the blending framework; responsible for India’s monsoon prediction systems.
- El Niño: Warming of central and eastern Pacific Ocean — historically associated with below-normal rainfall over India. El Niño years include 2009 (severe drought), 2015-16, 2023. A developing El Niño in 2026 adds urgency to block-level precision forecasting.
- UP monsoon model: IMD also launched a 1-km resolution monsoon forecast model for Uttar Pradesh using automatic weather station data and the Mithuna weather model (12.5-km resolution downscaled to 1-km).
- Agriculture advisory integration: System specifically developed at the request of Ministry of Agriculture and Farmers’ Welfare to feed into weekly advisory pipeline.
🔹 C. Block-Level Forecast — Impact Chain Flowchart
AI-blended model: IMD data (100 years) + global weather models + real-time observations
↓
Block-level monsoon onset forecast: 3,196 blocks, 15 States, 4-week probabilistic window
↓
Ministry of Agriculture advisory pipeline: Weekly format → District Agriculture Officers
↓
Farmers: Precise sowing timing → Optimal crop choice → Reduced crop loss from early/late sowing
↓
Food security outcome: Reduced post-harvest loss + Better Kharif production estimates
🔹 D. Critical Analysis
Significance for rainfed agriculture: ~52% of India’s cultivated area is rainfed (not irrigated). Precision monsoon forecasting at block level can directly improve sowing decisions for ~120 million rainfed farmers. Even 5-7 days of advance knowledge of monsoon onset at block level can improve yields by 10–15% by enabling timely sowing of optimal crop varieties.
Data infrastructure gap: The UP 1-km resolution model requires dense automatic weather station coverage. Most Indian States lack the required density of weather stations for such high-resolution downscaling. The IMD’s invitation to States to share their weather data highlights this infrastructure gap.
El Niño challenge: The system’s first operational year coincides with a developing El Niño that is expected to cause below-normal rainfall from July. This will be a formidable test — accurate block-level predictions during an El Niño year (when inter-block variability is highest) will be the proof of concept for the model’s reliability.
🔹 E. Way Forward
- Expand automatic weather station network: All States should share data with IMD; PM-KISAN delivery mechanism could be used to push block-level forecasts directly to registered farmers.
- Last-mile delivery: Block-level forecasts must be translated into local languages and disseminated through Gram Panchayats, Common Service Centres, and Kisan Call Centre (1800-180-1551).
- Integrate with Crop Insurance (PMFBY): Block-level weather data can improve actuarial risk assessment for Pradhan Mantri Fasal Bima Yojana — enabling more accurate premium pricing and faster claim settlement.
- Link with SDG 2 (Zero Hunger), SDG 13 (Climate Action), and India’s commitment to doubling farmers’ income.
🔹 F. Exam Orientation
📌 Prelims Pointers
- IMD: Established 1875; under Ministry of Earth Sciences; India’s apex meteorological authority.
- IITM: Indian Institute of Tropical Meteorology, Pune — under MoES; developed the blending framework for block-level forecasts.
- El Niño: Warming of central/eastern Pacific; causes below-normal Indian monsoon; measured by ENSO (El Niño Southern Oscillation) indices.
- Block level: Administrative unit below district; India has ~7,200 blocks (Community Development Blocks); system currently covers 3,196 blocks.
- Kharif season: Summer crops (rice, maize, cotton, soybean) sown with the onset of monsoon (June–September); critically dependent on precise monsoon onset timing.
- Mithuna model: IMD’s weather model at 12.5-km resolution; downscaled to 1-km for UP using dense weather station data.
📝 Model Mains Question (GS-III · 10 Marks)
“India’s new block-level monsoon forecast system represents a significant leap in precision agriculture and climate risk management. Examine its potential benefits and implementation challenges.”
Hint: Rainfed agriculture (52%), El Niño context, IMD-IITM collaboration, AI-blending, data infrastructure gap, last-mile delivery, PMFBY linkage. ~150 words.🎯 Probable UPSC Prelims MCQ
Q. Which of the following is correctly matched regarding Indian weather forecasting institutions?
1. IMD — Under Ministry of Earth Sciences; apex weather forecasting authority
2. IITM — Indian Institute of Tropical Meteorology, Pune; developed Mithuna weather model
3. NCMRWF — National Centre for Medium Range Weather Forecasting; under Ministry of Agriculture
Select the correct answer:
1. IMD — Under Ministry of Earth Sciences; apex weather forecasting authority
2. IITM — Indian Institute of Tropical Meteorology, Pune; developed Mithuna weather model
3. NCMRWF — National Centre for Medium Range Weather Forecasting; under Ministry of Agriculture
Select the correct answer:
- (a) 1 only
- (b) 1 and 2 only ✓
- (c) 2 and 3 only
- (d) 1, 2 and 3
Explanation: Statement 3 is incorrect — NCMRWF (National Centre for Medium Range Weather Forecasting) is under the Ministry of Earth Sciences, not Ministry of Agriculture. Statements 1 and 2 are correct.
GS-II · Polity · Constitutional Bodies
CBI Director Selection — Rahul Gandhi’s Dissent & Institutional Independence
Selection committee, dissent note, transparency concerns, constitutional accountability
🔹 A. Issue in Brief
- A high-powered committee chaired by PM Modi (with CJI Surya Kant and LoP Rahul Gandhi) met to select the next CBI Director, whose tenure ends May 24. Rahul Gandhi filed a strongly worded dissent note accusing the government of “institutional capture” and making the selection process a “mere formality.”
- Gandhi alleged he was shown self-appraisal reports of 69 candidates for the first time during the meeting, and 360-degree reports were denied outright — making meaningful evaluation impossible.
- Gandhi stated he was “not a rubber stamp” and could not “abdicate his constitutional duty” in a biased exercise.
🔹 B. Static Background
- CBI Director appointment: Governed by the Delhi Special Police Establishment (DSPE) Act, 1946 (amended 2014 per Vineet Narain case directions and Lokpal Act amendments). Tenure: 2 years, fixed (cannot be removed without committee concurrence).
- Selection Committee (as per amended DSPE Act): (1) Prime Minister (Chair); (2) Chief Justice of India; (3) Leader of Opposition in Lok Sabha. This tripartite structure was introduced to ensure independence — the LoP’s presence was specifically intended to prevent partisan appointment.
- Vineet Narain Case (1997): SC laid down guidelines for CBI independence; CBI Director’s fixed tenure protects from executive interference.
- Lokpal Act, 2013: Strengthened the selection committee mechanism; included CJI as an independent voice.
- Similar mechanism for ED Director: Enforcement Directorate Director also has a fixed 2-year tenure under the Central Vigilance Commission (Amendment) Act, 2021 — SC had struck down extension provisions earlier.
🔹 C. Transparency Issue — Key Arguments
| Government’s Position | LoP’s Concern | Constitutional Principle |
|---|---|---|
| Process followed as per law; candidates shortlisted by empanelment committee | Self-appraisal reports of 69 candidates shown only during meeting — no time for review | Meaningful participation requires advance access to information |
| 360-degree reports are confidential; not shared as standard practice | 360-degree reports essential to assess candidate’s integrity and independence track record | Institutional accountability requires transparency in appointment of accountability institutions |
| PM has constitutional authority; selection is executive prerogative | LoP’s inclusion is specifically to prevent partisan appointment — denying information defeats the purpose | Checks and balances — the selection committee model is a constitutional safeguard |
🔹 D. Critical Analysis
Institutional independence at stake: CBI has repeatedly been called a “caged parrot” (SC, 2013 Coal Scam case). The appointment process directly determines how independent the next Director will be. A partisan appointment to lead India’s premier investigative agency has cascading consequences for accountability of all public offices.
Dissent note — constitutional value: The LoP’s dissent is a constitutionally legitimate act. It creates a public record of the selection process concerns, enables future judicial scrutiny, and signals institutional non-compliance. However, it does not block the appointment — the PM can proceed with CJI’s concurrence.
Global comparison: In the USA, FBI Director is appointed by the President with Senate confirmation — ensuring bipartisan oversight. India’s tripartite model is theoretically stronger, but information asymmetry in the process undermines the LoP’s meaningful participation.
🔹 E. Way Forward
- Standardise information sharing: Self-appraisal and 360-degree reports should be shared with all committee members at least 15 days before the selection meeting — ensure meaningful deliberation.
- Second Administrative Reforms Commission (2nd ARC): Recommended strengthening the institutional independence of the CBI; Cabinet Secretariat oversight; these recommendations should be revisited.
- Statutory codification: Amend DSPE Act to specify the information to be shared with committee members in advance and mandate written reasons for final selection.
- Link to Article 14 (equal treatment under law — requires independent investigative agencies) and principles of separation of powers.
🔹 F. Exam Orientation
📌 Prelims Pointers
- CBI Director selection committee: PM (Chair), CJI, Leader of Opposition in Lok Sabha — as per DSPE Act (amended by Lokpal Act 2013).
- CBI Director tenure: Fixed 2 years; cannot be removed without committee concurrence — ensures independence from government pressure.
- DSPE Act, 1946: Delhi Special Police Establishment Act — the parent legislation for CBI; establishes CBI’s jurisdiction and appointment procedures.
- Vineet Narain Case, 1997: SC guidelines on CBI independence; fixed tenure concept emerged from this case direction.
- “Caged parrot” observation: SC in 2013 Coal Scam case called CBI a “caged parrot speaking in its master’s voice” — referring to executive interference in CBI investigations.
📝 Model Mains Question (GS-II · 10 Marks)
“The institutional independence of investigative agencies like the CBI is critical to India’s democratic accountability framework. Critically examine the challenges in ensuring such independence in the appointment process.”
Hint: DSPE Act, selection committee, LoP role, Vineet Narain, “caged parrot” observation, information asymmetry, reforms needed. ~150 words.🎯 Probable UPSC Prelims MCQ
Q. The selection committee for the appointment of the CBI Director comprises which of the following?
1. Prime Minister
2. Chief Justice of India
3. Home Minister
4. Leader of Opposition in the Lok Sabha
1. Prime Minister
2. Chief Justice of India
3. Home Minister
4. Leader of Opposition in the Lok Sabha
- (a) 1, 2 and 3 only
- (b) 1, 2 and 4 only ✓
- (c) 1, 3 and 4 only
- (d) 1, 2, 3 and 4
Explanation: The selection committee for CBI Director under the amended DSPE Act (as per Lokpal Act 2013) comprises: (1) Prime Minister (Chair), (2) Chief Justice of India (or a Supreme Court Judge nominated by CJI), and (3) Leader of Opposition in the Lok Sabha. The Home Minister is NOT a member of this committee. Answer: (b).
GS-III · Environment & Biodiversity · Disaster Management
Human-Wildlife Conflict — A Socio-Ecological Challenge, Not Just a Law-and-Order Problem
Karnataka leopard attack, global best practices, community-based conservation, India’s legal framework
🔹 A. Issue in Brief
- A 10-year-old boy was killed in a leopard attack in Nagamale forests (near M.M. Hills, Chamarajanagar), prompting Karnataka’s Environment Minister to suspend trekking in wildlife hotspots and enforce SOPs for trails.
- The incident highlights India’s systemic Human-Wildlife Conflict (HWC) — hundreds killed in elephant encounters annually, livestock predation by big cats, and habitat fragmentation driving wildlife into human areas.
- The article argues HWC is a complex socio-ecological challenge requiring community participation, habitat restoration, and evidence-based management — not merely reactive law-and-order responses.
🔹 B. Static Background
- Wildlife Protection Act, 1972: India’s primary wildlife legislation; Schedules I–IV for species protection; Schedule I species (tigers, elephants, leopards) get highest protection.
- Project Tiger (1973): India’s flagship big cat conservation programme; 54 Tiger Reserves; India has ~3,167 wild tigers (2022 census) — world’s largest population.
- Project Elephant (1992): Protects elephant habitats and corridors; ~30,000 elephants in India — largest population in Asia.
- Elephant Corridors: India has 101 identified elephant corridors; many disrupted by roads, railways, and agriculture.
- Compensation mechanisms: Under WPA and State policies; but delays and inadequacy are chronic complaints from affected communities.
- International Big Cat Alliance (IBCA): India-led initiative for 7 big cat species; 24 member countries; first summit June 1–3, 2026 in New Delhi.
🔹 C. HWC — Causes, Impacts & Solutions Table
| Cause | Impact | Solution (Global Best Practice) |
|---|---|---|
| Habitat fragmentation — roads, agriculture, settlements | Wildlife moves into human areas for food/shelter | Ecological corridors (Costa Rica model); land-use planning |
| Declining natural prey base | Carnivores prey on livestock | Predator-proof livestock enclosures (Nepal/Bhutan model) |
| Encroachment into forest edges | Increased interface area; crop raiding | Buffer zone management; solar fencing |
| Inadequate early warning systems | Surprise encounters; deaths | Real-time tracking (Finland model); walkie-talkies for guides |
| Inadequate/delayed compensation | Community hostility towards wildlife | Community-based revenue sharing (Botswana/Namibia model) |
🔹 D. Critical Analysis
Reactive vs. proactive management: India’s current approach — announcing closures after attacks, forming SIT after elephant deaths — is reactive. Proactive habitat restoration, corridor securing, and early warning deployment must be institutionalised before incidents occur, not after.
Community exclusion from conservation: India’s conservation model historically excludes forest-dependent communities through Protected Area (PA) designations. Without integrating community interests (livelihood alternatives, revenue sharing from wildlife tourism), hostility toward wildlife will persist — counterproductive to conservation goals.
Climate change — new HWC driver: Climate change is altering prey availability, water sources, and forest cover, forcing wildlife to expand into new areas. India’s HWC hotspots (Western Ghats, Terai, central India elephant ranges) are precisely the areas most vulnerable to climate disruption — making future conflicts more frequent and severe.
🔹 E. Way Forward
- Community-Based Natural Resource Management (CBNRM): Give local communities a stake in wildlife conservation through tourism revenue sharing and forest rights (Forest Rights Act, 2006).
- Wildlife corridors: Legally protect all 101 identified elephant corridors from encroachment; fast-track eco-bridge construction on National Highways passing through wildlife habitats.
- Real-time monitoring: Expand solar-powered camera trap networks; AI-based wildlife movement prediction; SMS alert systems for villages near conflict zones.
- Rapid compensation: Online, biometric-based compensation disbursement within 30 days of incident — delays create community resentment.
- Link with SDG 15 (Life on Land), SDG 11 (Sustainable Cities), and India’s Biodiversity targets (Kunming-Montreal Framework — 30×30 by 2030).
🔹 F. Exam Orientation
📌 Prelims Pointers
- Wildlife Protection Act, 1972: 6 Schedules; Schedule I gives highest protection; recently amended (2022) to create 4 Schedules.
- Project Tiger: Launched 1973; 54 Tiger Reserves; India has ~3,167 tigers (2022 census).
- International Big Cat Alliance (IBCA): India-led; 7 big cats (tiger, lion, leopard, cheetah, puma, jaguar, snow leopard); 24 member countries; first summit New Delhi June 2026.
- Elephant corridors: 101 identified by Wildlife Trust of India; many under threat from infrastructure projects.
- Forest Rights Act, 2006: Recognises individual and community forest rights of forest-dwelling communities; critical for HWC management through community participation.
- Kunming-Montreal Framework (2022): Global biodiversity framework; 30×30 target — protect 30% of land and oceans by 2030.
📝 Model Mains Question (GS-III · 15 Marks)
“Human-wildlife conflict in India is a predictable outcome of land-use patterns and ecological pressures, not merely an aberrant animal behaviour. Examine the causes, impacts, and suggest a scientifically informed, community-centred approach to managing coexistence.”
Hint: WPA, Project Tiger, habitat fragmentation, elephant corridors, CBNRM, compensation gaps, climate change, global models (Botswana, Costa Rica, Finland). ~250 words.🎯 Probable UPSC Prelims MCQ
Q. The International Big Cat Alliance (IBCA), launched by India, focuses on the conservation of which of the following big cat species?
1. Tiger
2. Lion
3. Cheetah
4. Clouded Leopard
5. Snow Leopard
6. Puma
1. Tiger
2. Lion
3. Cheetah
4. Clouded Leopard
5. Snow Leopard
6. Puma
- (a) 1, 2, 3 and 5 only
- (b) 1, 3, 5 and 6 only
- (c) 1, 2, 3, 5, 6 and Jaguar (not Clouded Leopard) ✓
- (d) All six listed above
Explanation: IBCA covers 7 big cats: Tiger, Lion, Leopard, Cheetah, Puma, Jaguar, and Snow Leopard. The Clouded Leopard (Statement 4) is NOT among the 7 IBCA species. Option (c) correctly identifies the IBCA species (excluding Clouded Leopard). The correct 7 species should be: Tiger, Lion, Leopard, Cheetah, Puma, Jaguar, Snow Leopard.
GS-III · Indian Economy · International Trade
FTA Implementation Gap — CEA’s Warning at CII Summit
“Agreements create value at implementation, not at signing” — regulatory barriers persist
🔹 A. Issue in Brief
- Chief Economic Adviser V. Anantha Nageswaran warned at the CII Annual Business Summit 2026 that India’s nine Free Trade Agreements / Comprehensive Economic Partnership Agreements (FTAs/CEPAs) concluded in the last 5 years represent “the most concentrated burst of trade diplomacy in independent India’s history” — but a “substantial gap” exists between what they promise and what regulations actually permit.
- EU Ambassador Hervé Delphin separately warned that customs procedures and conformity requirements should not be used as trade barriers.
- India-Oman CEPA (signed December 2025) is expected to come into effect from June 1, 2026. India-Chile FTA faces challenges due to asymmetric economy sizes.
🔹 B. Static Background
- India’s major FTAs/CEPAs (last 5 years): UAE CEPA (2022), Australia ECTA (2022), UK FTA (under negotiations), EU FTA (under negotiations), EFTA (2024), Oman CEPA (2025), New Zealand (ongoing), US (Interim Trade Agreement under discussion). Nine agreements total as CEA referenced.
- Difference between FTA signing and implementation: FTA eliminates tariffs on paper; but non-tariff barriers (NTBs) — customs procedures, sanitary and phytosanitary standards, conformity assessment requirements — determine actual trade flows.
- India’s trade policy approach: Post-2020, India has adopted a more strategic trade diplomacy approach — moving from a defensive posture (staying out of RCEP) to proactive bilateral agreements.
- Bharat Maritime Insurance Pool (BMIP): Government launched a ₹12,980 crore sovereign guarantee insurance pool for Indian-flagged vessels — directly relevant to trade facilitation amid West Asia crisis.
🔹 C. FTA Signing vs. Implementation Gap
| Stage | What Happens | Challenges |
|---|---|---|
| FTA Signed | Tariff schedules agreed; market access commitments made | Non-tariff barriers (NTBs) remain untouched |
| Domestic rule changes | Ministries must amend regulations to honour commitments | Inter-ministerial coordination failures; bureaucratic inertia |
| Customs procedures | New duty rates applied at border | Complex HS code classification disputes; valuation disputes |
| Standards alignment | Mutual Recognition Agreements (MRAs) for conformity assessment | BIS standards differ from international norms; testing labs limited |
| Private sector awareness | Exporters claim FTA benefits | Small exporters unaware of Rules of Origin requirements; compliance costs |
🔹 D. Critical Analysis
Strategic intent vs. operational reality: India has diversified its trade relationships (UAE, Australia, UK, EU, EFTA, Oman) — reducing dependence on any single corridor. But without closing the implementation gap, these agreements remain “statements of strategic intent” rather than commercially effective instruments.
Non-Tariff Barriers (NTBs) — the real trade barriers: With most countries having relatively low tariffs, NTBs are the primary obstacle to trade. India’s BIS quality standards, FSSAI food safety norms, and CDSCO drug approval requirements — while domestically justified — can function as de facto trade barriers if not aligned with international equivalents through Mutual Recognition Agreements.
India-Chile asymmetry: CEA’s comment on India-Chile FTA challenges (different economy sizes) reflects a broader issue — India negotiates from a position of a large market with significant leverage, but small FTA partners may have limited to offer. Critical minerals access (Chile has lithium) should be India’s primary ask — not broad market access reciprocity.
🔹 E. Way Forward
- FTA Implementation Monitoring Cell: Establish a dedicated inter-ministerial cell under Commerce Ministry to track regulatory changes needed for each FTA and set time-bound compliance targets.
- Mutual Recognition Agreements (MRAs): Negotiate MRAs for standards and conformity assessment alongside FTA signing — cannot be treated as an afterthought.
- MSME FTA literacy: Train exporters (especially MSMEs) on Rules of Origin requirements, preferential tariff claim procedures, and documentation requirements.
- Link with SDG 17 (Partnerships for the Goals — trade facilitation) and India’s target of $2 trillion exports by 2030.
🔹 F. Exam Orientation
📌 Prelims Pointers
- CEPA vs. FTA vs. PTA: CEPA (Comprehensive Economic Partnership Agreement) covers goods, services, investment + cooperation; FTA mainly covers goods; PTA (Preferential Trade Agreement) gives partial tariff preferences.
- India-UAE CEPA: Signed May 2022; first CEPA with a Gulf country; covers goods, services, IP, investment.
- India-Oman CEPA: Signed December 2025; likely effective June 1, 2026; India’s second Gulf CEPA.
- Non-Tariff Barriers (NTBs): Include SPS measures (Sanitary and Phytosanitary), TBT (Technical Barriers to Trade), customs procedures, and conformity assessment requirements.
- RCEP: Regional Comprehensive Economic Partnership — India pulled out in 2019 due to concerns about Chinese imports flooding; 15-nation mega-FTA without India.
📝 Model Mains Question (GS-III · 10 Marks)
“India’s recent surge in Free Trade Agreements represents strategic trade diplomacy, but the gap between signing and implementation threatens to undermine their commercial value. Examine.”
Hint: CEA’s warning, 9 FTAs/CEPAs in 5 years, NTBs, standards alignment, MRAs, MSME awareness, India’s $2 trillion export target. ~150 words.🎯 Probable UPSC Prelims MCQ
Q. India pulled out of the Regional Comprehensive Economic Partnership (RCEP) in 2019. RCEP is a trade agreement among which group of countries?
- (a) 10 ASEAN nations + China, Japan, South Korea, Australia, New Zealand (15 nations)
- (b) 10 ASEAN nations + China, Japan, South Korea, Australia, New Zealand, India (16 nations)
- (c) 10 ASEAN nations + China, Japan, South Korea, Australia, New Zealand — 15 nations without India ✓
- (d) G20 nations minus European Union members
Explanation: RCEP was signed in November 2020 by 15 nations — 10 ASEAN members plus China, Japan, South Korea, Australia, and New Zealand. India participated in negotiations but pulled out in November 2019, and RCEP was concluded and signed without India.
GS-III · Indian Economy · Labour & Employment
PLFS 2025 — Youth Unemployment, Women’s Work, and India’s Labour Market Paradox
9.9% youth unemployment, urban women at 18.9%, educated unemployment, WPR improvement
🔹 A. Issue in Brief
- The Periodic Labour Force Survey (PLFS) 2025 (MoSPI, January–December 2025) — the first revamped PLFS covering both rural and urban India monthly — reveals: overall LFPR at 44.9%; youth unemployment (15–29 years) at 9.9% — 3× the national average; urban young women’s unemployment at 18.9% — nearly 1 in 5.
- Among educated persons (secondary schooling+), unemployment rate is 6.5% — more than double the national average of 3.1%, confirming an educated unemployment paradox.
- Worker Population Ratio (WPR) has improved from 39.7% (2022) to 43.5% (2025); rural women’s WPR rose from 26.9% to 33.8%.
🔹 B. Static Background
- PLFS: Periodic Labour Force Survey — conducted by MoSPI (National Statistical Office); replaced the earlier Employment-Unemployment Surveys; provides quarterly urban data and annual all-India data. The 2025 revamped version covers rural and urban India monthly for the first time.
- Key Labour Market Concepts:
- LFPR (Labour Force Participation Rate): % of working-age population (15+) either employed or actively seeking employment.
- WPR (Worker Population Ratio): % of population actually employed.
- Unemployment Rate (UR): % of labour force that is actively seeking work but unable to find it. UR measures active job-seekers — not those who have given up (discouraged workers).
- Demographic Dividend: India’s 367 million youth (15–29 years) represent a potential demographic dividend — but only if they are productively employed. Youth unemployment at 9.9% threatens to convert the dividend into a burden.
- India’s $5 trillion economy target: Requires ~8% GDP growth sustained over multiple years, driven by productive employment expansion. Educated unemployment undermines this goal.
🔹 C. PLFS 2025 Key Data Mind Map
📊 PLFS 2025 — India’s Labour Market
📈 Overall
- LFPR: 44.9% (all ages)
- WPR: 43.5% (up from 39.7% in 2022)
- Overall UR: 3.1%
- More Indians working than in 2022
👩 Women’s Work
- Rural women LFPR: 34.6%
- Urban women LFPR: only 22.2%
- Urban women UR: 18.9%
- Rural women WPR: 33.8% (up from 26.9%)
🎓 Educated Unemployed
- Secondary+ educated UR: 6.5%
- Urban educated UR: 7.2%
- Rural educated UR: 6.0%
- Education ≠ employment
🧑 Youth (15–29)
- Youth UR: 9.9% (3× national avg)
- Urban young women UR: 18.9%
- Self-employment (rural women): 70.7%
- Gig/delivery work growing
🔹 D. Critical Analysis
Quality vs. quantity of employment: WPR improvement (39.7%→43.5%) suggests more people are working, but the nature of this work is critical. Rural women’s work is 70.7% self-employed — largely subsistence agriculture, not entrepreneurial. This “quantity without quality” employment does not deliver the income security or dignity needed for genuine demographic dividend realisation.
Urban women — double exclusion: Urban young women face the worst labour market outcome: low LFPR (22.2%) AND high unemployment among those who participate (18.9%). This suggests both discouragement (women giving up job search) and structural barriers (harassment, safety, childcare) simultaneously. This is a GS-IV ethics issue as much as a GS-III economics issue.
Educated unemployment paradox: Education expansion without labour market alignment has created a large cohort of graduates seeking white-collar jobs in an economy that primarily generates blue-collar and informal work. This “education-job mismatch” risks long-term youth disillusionment and social instability — as the Tamil Nadu political analysis in today’s paper explicitly noted (Vijay’s victory partly driven by educated youth’s frustration).
🔹 E. Way Forward
- Skill-labour market linkage: PM Kaushal Vikas Yojana (PMKVY) must be demand-driven — trained in actual vacancies in industry, not generic skills. National Apprenticeship Promotion Scheme (NAPS) should be made mandatory for all MSME units above a certain size.
- Urban women’s employment: Safe public transport, childcare facilities at workplaces (as mandated by Maternity Benefit Act for establishments with 50+ employees), and targeted urban women’s skill programmes.
- Gig worker formalisation: Code on Social Security 2020’s gig worker provisions must be operationalised urgently — to provide social security floor for delivery agents, domestic workers, and other informal urban workers.
- Link with SDG 8 (Decent Work), SDG 4 (Quality Education aligned with labour market), and SDG 5 (Gender Equality in workforce).
🔹 F. Exam Orientation
📌 Prelims Pointers
- PLFS: Periodic Labour Force Survey by MoSPI (National Statistical Office); replaced Employment-Unemployment Surveys; quarterly urban data, annual all-India data.
- Youth unemployment rate (PLFS 2025): 9.9% for ages 15–29; 3× the national average of 3.1%.
- Urban young women’s UR: 18.9% — nearly 1 in 5 urban young women in the labour force unable to find work.
- WPR improvement: From 39.7% (2022) to 43.5% (2025); rural women WPR from 26.9% to 33.8%.
- LFPR: Labour Force Participation Rate — India’s overall LFPR at 44.9% (2025); still lower than global average.
- Demographic dividend window: India’s working-age population (15–64) as share of total population is projected to peak around 2041 — the window for reaping dividends is narrowing.
📝 Model Mains Question (GS-III · 15 Marks)
“India’s Periodic Labour Force Survey 2025 presents a paradox: improving Worker Population Ratio alongside persistent educated and youth unemployment. Analyse the structural causes and suggest policy interventions to realise India’s demographic dividend.”
Hint: PLFS data, quality vs. quantity of employment, educated unemployment, urban women’s barriers, gig economy, skill-market mismatch, PMKVY, SDG 8. ~250 words.🎯 Probable UPSC Prelims MCQ
Q. With reference to the Periodic Labour Force Survey (PLFS), which of the following statements is correct?
1. PLFS is conducted by the National Statistical Office under MoSPI.
2. The unemployment rate in PLFS measures only those actively seeking work within the labour force, not discouraged workers who have given up searching.
3. PLFS replaced the Annual Survey of Industries (ASI) conducted by the Ministry of Statistics.
Select the correct answer:
1. PLFS is conducted by the National Statistical Office under MoSPI.
2. The unemployment rate in PLFS measures only those actively seeking work within the labour force, not discouraged workers who have given up searching.
3. PLFS replaced the Annual Survey of Industries (ASI) conducted by the Ministry of Statistics.
Select the correct answer:
- (a) 1 only
- (b) 1 and 2 only ✓
- (c) 2 and 3 only
- (d) 1, 2 and 3
Explanation: Statement 3 is incorrect — PLFS replaced the earlier Employment-Unemployment Surveys (EUS), not the Annual Survey of Industries (ASI). ASI is a separate enterprise survey measuring industrial output. Statements 1 and 2 are correct.
GS-III · Science & Technology · Health
Cancer Immunotherapy & the Blood-Brain Barrier — A Double-Edged Sword
PD-1 inhibitors, DKK1 protein, brain metastasis paradox, precision oncology implications
🔹 A. Issue in Brief
- A study in Cancer Discovery (Technion-Israel Institute) finds that PD-1 inhibitors — a widely used immunotherapy — can make the Blood-Brain Barrier (BBB) more permeable by inducing production of the protein DKK1. This “double-edged” effect may improve drug delivery to brain tumours but also allow cancer cells to enter the brain.
- Among patients who respond poorly to PD-1 therapy, increased BBB permeability may inadvertently allow circulating cancer cells to enter the brain — explaining why some patients develop brain metastases during immunotherapy.
- DKK1 emerges as a potential biomarker to identify patients at higher risk of brain metastasis during treatment.
🔹 B. Key Concepts for UPSC
| Term | Definition | UPSC Relevance |
|---|---|---|
| Blood-Brain Barrier (BBB) | Tightly packed lining of cells controlling what passes from bloodstream into brain tissue | GS-III: Sci & Tech; reason most drugs can’t treat brain cancers |
| Immune Checkpoint Inhibitors (ICIs) | Drugs that block signals preventing immune cells from attacking tumours (e.g., PD-1, PD-L1, CTLA-4 inhibitors) | Key cancer immunotherapy class; examples: pembrolizumab, nivolumab |
| PD-1 Inhibitors | Block Programmed Death-1 receptor; allow immune T-cells to attack cancer cells | Widely used in lung cancer, melanoma, kidney cancer |
| DKK1 protein | Protein induced by anti-PD-1 therapy that disrupts BBB; potential biomarker for brain metastasis risk | New diagnostic marker candidate |
| Biomarker | Measurable indicator (protein, gene) of biological state; used for disease diagnosis, prognosis, and treatment monitoring | Precision medicine — GS-III |
🔹 C. Critical Analysis
Precision medicine implication: If DKK1 is validated as a biomarker in larger human trials, oncologists could identify patients at high risk of brain metastasis before treatment — allowing tailored sequencing of immunotherapy and chemotherapy. This exemplifies the shift from one-size-fits-all to precision/personalised medicine.
India’s cancer burden: India has ~14.6 lakh new cancer cases annually (ICMR). Lung, breast, cervical, and gastrointestinal cancers dominate. Immunotherapy (ICIs) is increasingly available in India but at very high cost — widening the cancer care equity gap. Research like this underscores the need for India to invest in domestic biomarker testing infrastructure.
Translational research challenge: Mouse model findings (this study) must be validated in large human clinical trials before changing treatment protocols. India’s clinical trial infrastructure (Clinical Trial Registry, CDSCO oversight) needs strengthening to participate in international oncology trials — enabling faster access to evidence-based treatments.
🔹 E. Way Forward & Prelims Pointers
📌 Prelims Pointers
- Blood-Brain Barrier (BBB): Tightly packed endothelial cells lining brain blood vessels; protects brain from toxins and pathogens but also prevents most drugs from reaching brain tumours.
- Immune Checkpoint Inhibitors (ICIs): Cancer immunotherapy class; block PD-1, PD-L1, or CTLA-4 checkpoint proteins to unleash T-cell anti-tumour response.
- PD-1 Inhibitors examples: Pembrolizumab (Keytruda), Nivolumab (Opdivo) — both approved by FDA and CDSCO for multiple cancers.
- Cancer Discovery: Peer-reviewed journal; published by American Association for Cancer Research (AACR).
- Biomarker: Measurable biological indicator; used for diagnosis, prognosis, treatment monitoring. DKK1 is a candidate biomarker for brain metastasis risk during PD-1 inhibitor therapy.
- ICMR: Indian Council of Medical Research — apex body for biomedical research in India; under Ministry of Health and Family Welfare.
📝 Model Mains Question (GS-III · 10 Marks)
“Recent research on cancer immunotherapy’s interaction with the blood-brain barrier exemplifies the complexity and promise of precision medicine. Explain the significance of this finding and discuss India’s preparedness for precision oncology.”
Hint: BBB, PD-1 inhibitors, DKK1 biomarker, double-edged effect, India’s cancer burden, ICMR, clinical trial infrastructure, affordability challenge. ~150 words.🎯 Probable UPSC Prelims MCQ
Q. Consider the following statements about Immune Checkpoint Inhibitors (ICIs):
1. They work by blocking signals that prevent immune cells from attacking tumours.
2. PD-1 and CTLA-4 are examples of immune checkpoint proteins targeted by ICIs.
3. ICIs are the first line of treatment for all types of cancer in India.
Which of the above is/are correct?
1. They work by blocking signals that prevent immune cells from attacking tumours.
2. PD-1 and CTLA-4 are examples of immune checkpoint proteins targeted by ICIs.
3. ICIs are the first line of treatment for all types of cancer in India.
Which of the above is/are correct?
- (a) 1 only
- (b) 1 and 2 only ✓
- (c) 2 and 3 only
- (d) 1, 2 and 3
Explanation: Statement 3 is incorrect — ICIs are not the first line of treatment for all cancers; they are used selectively based on cancer type, stage, and biomarker profile (e.g., PD-L1 expression). They remain expensive and have specific indications. Statements 1 and 2 are correct.
❓ Frequently Asked Questions — UPSC 2026
NEET-UG 2026 (held May 3) was cancelled after a whistleblower’s complaint on May 7 led to the discovery of a handwritten “guess paper” matching the actual question paper circulating digitally — the first full-scale cancellation in NEET’s 13-year history. The CBI has registered a case under the Public Examinations (Prevention of Unfair Means) Act, 2024, invoking criminal conspiracy, cheating, and evidence destruction charges. For students: No new registration required; no additional fee; registration data and candidature carried forward; re-test to be held in “minimal possible time” (7–10 days notice); same exam centres retained. Students should monitor only official NTA channels. Key reform demand: transition to Computer-Based Testing (CBT), though NTA’s current CBT capacity (1.5 lakh/day) cannot immediately accommodate 22 lakh NEET candidates.
The CBI Director selection committee comprises: (1) Prime Minister (Chair); (2) Chief Justice of India; (3) Leader of Opposition in the Lok Sabha — as per the amended Delhi Special Police Establishment (DSPE) Act, read with the Lokpal Act, 2013. The CBI Director has a fixed 2-year tenure, ensuring independence from executive pressure (Vineet Narain case direction). In May 2026, LoP Rahul Gandhi filed a strongly worded dissent note alleging: self-appraisal reports of 69 candidates were shown only during the meeting (no advance access); 360-degree reports were denied; making meaningful evaluation impossible. He called the process “institutional capture” and said the LoP was being reduced to a “rubber stamp.” The controversy highlights a structural issue — information asymmetry in the selection process undermines the constitutional purpose of including the LoP as a check against partisan appointment.
India’s water governance is multi-layered: (1) Ministry of Jal Shakti (formed 2019) — nodal ministry for water resources, drinking water and sanitation; (2) Central Water Commission (CWC) — surface water planning, river basin development, flood control; (3) Central Ground Water Board (CGWB) — groundwater assessment and aquifer management; (4) NITI Aayog’s Composite Water Management Index (CWMI) — benchmarks States’ water governance. Key missions: Jal Jeevan Mission (tap connections to all rural homes by 2028); Atal Bhujal Yojana (participatory groundwater management in 7 States); PMKSY (Pradhan Mantri Krishi Sinchayee Yojana — micro-irrigation, “More crop per drop”); AMRUT (urban water supply and sewage treatment); Namami Gange (Ganga rejuvenation). Constitutional position: Water is in the State List (Entry 17, Seventh Schedule) — inter-State river regulation is in the Union List (Entry 56).
The International Big Cat Alliance (IBCA) is a global conservation initiative spearheaded by India, launched in 2023, focusing on seven big cat species: (1) Tiger, (2) Lion, (3) Leopard, (4) Cheetah, (5) Puma, (6) Jaguar, and (7) Snow Leopard. IBCA has 24 member countries and 3 observer countries. Its first-ever summit is scheduled in New Delhi from June 1–3, 2026, with representatives from 95 countries expected. Member countries share best practices on habitat protection, anti-poaching, and community-based conservation. There are no financial contributions required from members. India leads IBCA given its status as the country with the largest wild tiger population (~3,167 in 2022), largest Asiatic lion population (Gir, Gujarat), and active cheetah reintroduction programme (Project Cheetah, Kuno National Park). Note: China has not confirmed membership — its wild tiger population is small (~50–70 Amur tigers in northeast border region).
The Periodic Labour Force Survey (PLFS) 2025 (MoSPI, covering January–December 2025, both rural and urban monthly — a first) reveals: Overall Labour Force Participation Rate (LFPR): 44.9%; Worker Population Ratio (WPR): 43.5% (improved from 39.7% in 2022); Overall Unemployment Rate: 3.1%. Youth (15–29 years): Youth unemployment rate 9.9% — more than 3 times the national average. Urban young women’s unemployment: 18.9% — nearly 1 in 5 urban young women in the labour force unable to find work. Rural women’s WPR improved significantly from 26.9% to 33.8% — primarily in self-employment in agriculture (70.7% of rural working women are self-employed). Educated unemployment paradox: Among secondary+ educated persons, unemployment rate is 6.5% (urban: 7.2%, rural: 6%) — more than double the national average, indicating education-job market mismatch. Urban women’s LFPR is only 22.2% compared to urban men’s 59.7% — pointing to structural barriers including safety, childcare, and social norms.
India has concluded 9 Free Trade Agreements / Comprehensive Economic Partnership Agreements in the last 5 years — the most concentrated burst of trade diplomacy in independent India’s history. These include UAE CEPA (2022), Australia ECTA (2022), EFTA (2024), Oman CEPA (2025), and ongoing negotiations with UK, EU, US, New Zealand. The implementation gap refers to the substantial difference between what FTAs promise on paper (tariff reductions, market access) and what regulatory frameworks actually permit. Key gaps: (1) Domestic regulations not aligned with international standards — BIS, FSSAI, CDSCO standards function as de facto Non-Tariff Barriers; (2) No Mutual Recognition Agreements (MRAs) for conformity assessment alongside FTA signing; (3) Complex Rules of Origin requirements confuse MSME exporters; (4) Customs valuation disputes. Chief Economic Adviser Nageswaran warned that FTAs “create value only at implementation, not at signing.” India’s $2 trillion export target by 2030 requires urgently closing this implementation gap.
The Blood-Brain Barrier (BBB) is a tightly packed lining of endothelial cells lining brain blood vessels that controls what passes from the bloodstream into brain tissue — protecting the brain from toxins and pathogens. Most conventional anti-cancer drugs cannot cross the BBB, limiting their effectiveness against brain tumours. PD-1 Inhibitors (like pembrolizumab, nivolumab) are immune checkpoint inhibitors — they block the PD-1 protein on T-cells, which normally acts as a “brake” preventing T-cells from attacking tumours. By blocking PD-1, these drugs allow T-cells to recognise and destroy cancer cells. A new study in Cancer Discovery (Technion-Israel) found that anti-PD-1 therapy induces the protein DKK1, which makes the BBB more permeable. This has a “double-edged” effect: (1) It may allow anti-cancer drugs easier access to brain tumours (beneficial in treatment); (2) It may also allow circulating cancer cells to enter the brain — increasing brain metastasis risk in patients who don’t respond well to immunotherapy. DKK1 is a candidate biomarker to identify high-risk patients before treatment.
IMD’s new block-level monsoon forecast system, unveiled on May 12, 2026, generates sub-district level (block-level) predictions of monsoon onset — unprecedented granularity for India. The system covers 3,196 blocks across 15 States and one UT (the “monsoon core zone” of rainfed India). It works by blending two forecasting models using AI, IMD’s ~100-year data archive, and global weather models to produce 4-week probabilistic forecasts. It was developed by IITM (Indian Institute of Tropical Meteorology) at the request of the Ministry of Agriculture. Significance for farmers: (1) ~52% of India’s cultivated area is rainfed — farmers need precise monsoon timing for sowing decisions; (2) Traditional district-level forecasts are too broad — within a district, some blocks may receive no rain even after monsoon is “declared”; (3) Block-level advance notice enables optimal crop variety selection, insurance planning, and input procurement timing. First major test: a developing El Niño is expected to cause below-normal rainfall from July 2026 — high inter-block variability during El Niño years will test the system’s reliability.
