News Snippet
News 1: Breakthrough in quantum tech – (Quantum tech relates to crucial part of physics which explains different nature being exhibited at subatomic realm)
News 2: Uttarkashi Avalanche in Uttarakhand – (Avalanches are an important part of Disaster Management)
Other Important News:
- Competition Commission of India
- Graded Response Action Plan
News 1: Breakthroughs in quantum tech (Noble Prize for Physics)
Background
The Nobel Prize for Physics 2022 is being shared by three scientists, Alain Aspect, John F Clauser and Anton Zeilinger, for their work on quantum mechanics.

Why is it significant?
- For about 100 years now, quantum ‘entanglement’ has triggered an intense but fascinating debate over the nature of reality among some of the sharpest brains of the 20th century. It’s one of the main reasons why Quantum Theory appears so strange and counterintuitive. It is also precisely this behaviour of quantum particles that Albert Einstein famously described as ‘spooky’.
- The Nobel Prize committee decided to honour three scientists — Alain Aspect of France, John Clauser of the US, and Anton Zeilinger of Austria — who, over the last four decades, have tilted the balance of the debate in one direction.
- Their experiments have conclusively established that the ‘entanglement’ phenomenon observed in quantum particles was real, not a result of any ‘hidden’ or unknown forces, and that it could be utilised to make transformative technological advances in computing, hack-free communications, and science fiction-like concept of ‘teleportation’.
- The three conducted a series of experiments on something called entangled quantum states, where two separate particles behave like a single unit. Their pathbreaking results will have implications in the fields of quantum computers, quantum networks and secure quantum encrypted communication.
- Put simply, quantum computers use quantum mechanics to solve problems too complex for regular computers.
Quantum theory
- The Quantum Theory, which proposed that energy exists as discrete packets—each called a “quantum.” This new branch of physics enabled scientists to describe the interaction between energy and matter down through the subatomic realm.
- Quantum Theory went completely against everyday experiences. It allowed a particle to exist simultaneously at multiple locations, a phenomenon known as superposition.
- The chance of finding the particle at any given place was dictated by probabilistic calculations, and once it was found, or observed, at one location, it ceased to exist at all other places.
News 2: Uttarkashi avalanche in Uttarakhand
Background
At least four mountaineers were killed and over 30 feared trapped after an avalanche at Draupadi ka Danda-2 (DKD-2) peak in Uttarkashi district of Uttarakhand on Tuesday.
Avalanche
- An avalanche is a mass of snow, rock, ice, and soil that tumbles down a mountain.
- Avalanches of rocks or soil are often called landslides. Snowslides, the most common kind of avalanche, can sweep downhill faster than the fastest skier.
- A snow avalanche begins when an unstable mass of snow breaks away from a slope. The snow picks up speed as it moves downhill, producing a river of snow and a cloud of icy particles that rises high into the air.
- The moving mass picks up even more snow as it rushes downhill.
- A large, fully developed avalanche can weigh as much as a million tons. It can travel faster than 320 kilometers per hour (200 miles per hour).
- Avalanches and landslides are common on the glacier during the winters and temperatures can drop to as low as minus 60 degree Celsius.
- There are various kinds of avalanches, including rock avalanches (which consist of large segments of shattered rock), ice avalanches (which typically occur in the vicinity of a glacier), and debris avalanches (which contain a variety of unconsolidated materials, such as loose stones and soil).
Factors responsible for the Avalanche
Heavy Snowfall
When a high rate of snowfall occurred leading to the snow accumulation on the mountain slopes triggered the weaker layer of snow in the snowpack of unstable areas of the mountain causes Avalanche.
Layering of Snow
The gradual snowfall creates layer by layer accumulation of snow that hypersensitive the snowpack. If something catastrophic events happen then these layers of snow falls down that leads to avalanche.
Higher Temperatures
Temperature is one of the important factors for the avalanche because of high temperature the surface layer of the snowpack gets melted. The accumulated snow will become highly susceptible to sliding down.
Wind Direction
The direction of the wind determines the patterns of the snowfall as well snow accumulation on the mountain slopes. If the strong wind blows, then the upward direction of the winds might trigger the steep slope which causes an avalanche.
Steeper Slopes
An avalanche is also caused by the influence of gravity. If gradual snowfalls accumulated on the slopes of the mountain then it prone to rush downs the slopes at greater speeds.
Earthquakes
It is one of the important factors that triggered the layer of accumulated snowpack because earthquakes generate seismic waves that cause the ground to vibrate.
Movements or Vibrations Produced By Machines and Explosives
As we know that the population increasing day by day, which requires development activities to meet the population requirement. During the developmental activities, the terrain vehicles in regions with unstable layers of snow can dislodge the layers from the surface and cause them to slide down under gravity.
Deforestation
Deforestation, clearance, or clearing is the removal of a forest or stand of trees where the land is thereafter converted to a non-forest use. Trees and plants always protect land against natural disasters like floods, tidal waves, strong winds, and also avalanche. Hence, a developmental activity for economic gains makes the mountain region an avalanche-prone area more susceptible to deadlier avalanches.
Winter Sports Activities
Above all the factors, this factor will act like the last nail to triggered steep slopes or loose snowpack by skiers or other winter sports activities.
Management of Avalanches
Predicting an avalanche
People try to predict when avalanches are going to occur. The Alps has an ‘avalanche season’ between January and March when most avalanches happen. Where avalanches are going to occur is hard to predict. Historical data, weather information and information about the actual snow on the mountainside is collected together to try and forecast the likelihood of an avalanche.
Deliberately causing an avalanche
Avalanches can be started deliberately in order to prevent the snow building up. This is one of the most important ways of preventing avalanches.
Communicating the risk of an avalanche
Signs of the risk of avalanches can be displayed in villages and also by the ski lifts. In the Alps the risk is assessed on a five-point scale. Areas can be sealed off which are considered too dangerous to ski on. Early warning systems are also used.
Land-use zoning
Land can be grouped into red, yellow and green areas. The red areas are considered too dangerous to be built on. The orange areas can be built on with restrictions, such as reinforcing buildings. Roads and railways can be protected by tunnels over them in the areas where an avalanche path is likely to travel.
Snow fences and barriers
These can be used to divert and break up the path of the avalanche.
Reforestation
Trees can be planted, increasing stability of the slope and helping to reduce the damage further down the valley.
Other important news
Competition Commission of India (CCI)
- Established: 2003
- Headquarters: New Delhi
- Ministry: Ministry of Corporate Affairs
- Composition: CCI consists of a chairperson and 6 Members appointed by the Central Government.
- The objectives of the Competition Act, 2002 are sought to be achieved through the Competition Commission of India, which has been established by the Central Government with effect from 14th October 2003.
- It is the duty of the Commission to eliminate practices having adverse effect on competition, promote and sustain competition, protect the interests of consumers and ensure freedom of trade in the markets of India.
- The Commission is also required to give opinion on competition issues on a reference received from a statutory authority established under any law and to undertake competition advocacy, create public awareness and impart training on competition issues.
Graded Response Action Plan (GRAP)
- Approved by the Supreme Court in 2016, the plan was formulated after several meetings that the Environment Pollution (Prevention and Control) Authority (EPCA) held with state government representatives and experts.
- The result was a plan that institutionalized measures to be taken when air quality deteriorates.
- GRAP works only as an emergency measure. As such, the plan does not include action by various state governments to be taken throughout the year to tackle industrial, vehicular and combustion emissions. The plan is incremental in nature — therefore, when the air quality moves from ‘Poor’ to ‘Very Poor’, the measures listed under both sections have to be followed.
- GRAP includes the measures which will be taken by different government agencies to prevent worsening of Air Quality of Delhi-NCR and prevent PM10 and PM2.5 levels to go beyond the ‘moderate’ national Air Quality Index (AQI) category.
- If air quality reaches the ‘Severe+’ stage, the response under GRAP includes extreme measures such as shutting down schools and implementing the odd-even road-space rationing scheme.
- GRAP has been successful in doing two things that had not been done before — creating a step-by-step plan for the entire Delhi-NCR region and getting on board several agencies: all pollution control boards, industrial area authorities, municipal corporations, regional officials of the India Meteorological Department, and others.
- The plan requires action and coordination among 13 different agencies in Delhi, Uttar Pradesh, Haryana and Rajasthan (NCR areas). At the head of the table is the EPCA, mandated by the Supreme Court.
Recent Posts
- In the Large States category (overall), Chhattisgarh ranks 1st, followed by Odisha and Telangana, whereas, towards the bottom are Maharashtra at 16th, Assam at 17th and Gujarat at 18th. Gujarat is one State that has seen startling performance ranking 5th in the PAI 2021 Index outperforming traditionally good performing States like Andhra Pradesh and Karnataka, but ranks last in terms of Delta
- In the Small States category (overall), Nagaland tops, followed by Mizoram and Tripura. Towards the tail end of the overall Delta ranking is Uttarakhand (9th), Arunachal Pradesh (10th) and Meghalaya (11th). Nagaland despite being a poor performer in the PAI 2021 Index has come out to be the top performer in Delta, similarly, Mizoram’s performance in Delta is also reflected in it’s ranking in the PAI 2021 Index
- In terms of Equity, in the Large States category, Chhattisgarh has the best Delta rate on Equity indicators, this is also reflected in the performance of Chhattisgarh in the Equity Pillar where it ranks 4th. Following Chhattisgarh is Odisha ranking 2nd in Delta-Equity ranking, but ranks 17th in the Equity Pillar of PAI 2021. Telangana ranks 3rd in Delta-Equity ranking even though it is not a top performer in this Pillar in the overall PAI 2021 Index. Jharkhand (16th), Uttar Pradesh (17th) and Assam (18th) rank at the bottom with Uttar Pradesh’s performance in line with the PAI 2021 Index
- Odisha and Nagaland have shown the best year-on-year improvement under 12 Key Development indicators.
- In the 60:40 division States, the top three performers are Kerala, Goa and Tamil Nadu and, the bottom three performers are Uttar Pradesh, Jharkhand and Bihar.
- In the 90:10 division States, the top three performers were Himachal Pradesh, Sikkim and Mizoram; and, the bottom three performers are Manipur, Assam and Meghalaya.
- Among the 60:40 division States, Orissa, Chhattisgarh and Madhya Pradesh are the top three performers and Tamil Nadu, Telangana and Delhi appear as the bottom three performers.
- Among the 90:10 division States, the top three performers are Manipur, Arunachal Pradesh and Nagaland; and, the bottom three performers are Jammu and Kashmir, Uttarakhand and Himachal Pradesh
- Among the 60:40 division States, Goa, West Bengal and Delhi appear as the top three performers and Andhra Pradesh, Telangana and Bihar appear as the bottom three performers.
- Among the 90:10 division States, Mizoram, Himachal Pradesh and Tripura were the top three performers and Jammu & Kashmir, Nagaland and Arunachal Pradesh were the bottom three performers
- West Bengal, Bihar and Tamil Nadu were the top three States amongst the 60:40 division States; while Haryana, Punjab and Rajasthan appeared as the bottom three performers
- In the case of 90:10 division States, Mizoram, Assam and Tripura were the top three performers and Nagaland, Jammu & Kashmir and Uttarakhand featured as the bottom three
- Among the 60:40 division States, the top three performers are Kerala, Andhra Pradesh and Orissa and the bottom three performers are Madhya Pradesh, Jharkhand and Goa
- In the 90:10 division States, the top three performers are Mizoram, Sikkim and Nagaland and the bottom three performers are Manipur and Assam
In a diverse country like India, where each State is socially, culturally, economically, and politically distinct, measuring Governance becomes increasingly tricky. The Public Affairs Index (PAI 2021) is a scientifically rigorous, data-based framework that measures the quality of governance at the Sub-national level and ranks the States and Union Territories (UTs) of India on a Composite Index (CI).
States are classified into two categories – Large and Small – using population as the criteria.
In PAI 2021, PAC defined three significant pillars that embody Governance – Growth, Equity, and Sustainability. Each of the three Pillars is circumscribed by five governance praxis Themes.
The themes include – Voice and Accountability, Government Effectiveness, Rule of Law, Regulatory Quality and Control of Corruption.
At the bottom of the pyramid, 43 component indicators are mapped to 14 Sustainable Development Goals (SDGs) that are relevant to the States and UTs.
This forms the foundation of the conceptual framework of PAI 2021. The choice of the 43 indicators that go into the calculation of the CI were dictated by the objective of uncovering the complexity and multidimensional character of development governance

The Equity Principle
The Equity Pillar of the PAI 2021 Index analyses the inclusiveness impact at the Sub-national level in the country; inclusiveness in terms of the welfare of a society that depends primarily on establishing that all people feel that they have a say in the governance and are not excluded from the mainstream policy framework.
This requires all individuals and communities, but particularly the most vulnerable, to have an opportunity to improve or maintain their wellbeing. This chapter of PAI 2021 reflects the performance of States and UTs during the pandemic and questions the governance infrastructure in the country, analysing the effectiveness of schemes and the general livelihood of the people in terms of Equity.



Growth and its Discontents
Growth in its multidimensional form encompasses the essence of access to and the availability and optimal utilisation of resources. By resources, PAI 2021 refer to human resources, infrastructure and the budgetary allocations. Capacity building of an economy cannot take place if all the key players of growth do not drive development. The multiplier effects of better health care, improved educational outcomes, increased capital accumulation and lower unemployment levels contribute magnificently in the growth and development of the States.



The Pursuit Of Sustainability
The Sustainability Pillar analyses the access to and usage of resources that has an impact on environment, economy and humankind. The Pillar subsumes two themes and uses seven indicators to measure the effectiveness of government efforts with regards to Sustainability.



The Curious Case Of The Delta
The Delta Analysis presents the results on the State performance on year-on-year improvement. The rankings are measured as the Delta value over the last five to 10 years of data available for 12 Key Development Indicators (KDI). In PAI 2021, 12 indicators across the three Pillars of Equity (five indicators), Growth (five indicators) and Sustainability (two indicators). These KDIs are the outcome indicators crucial to assess Human Development. The Performance in the Delta Analysis is then compared to the Overall PAI 2021 Index.
Key Findings:-
In the Scheme of Things
The Scheme Analysis adds an additional dimension to ranking of the States on their governance. It attempts to complement the Governance Model by trying to understand the developmental activities undertaken by State Governments in the form of schemes. It also tries to understand whether better performance of States in schemes reflect in better governance.
The Centrally Sponsored schemes that were analysed are National Health Mission (NHM), Umbrella Integrated Child Development Services scheme (ICDS), Mahatma Gandh National Rural Employment Guarantee Scheme (MGNREGS), Samagra Shiksha Abhiyan (SmSA) and MidDay Meal Scheme (MDMS).
National Health Mission (NHM)
INTEGRATED CHILD DEVELOPMENT SERVICES (ICDS)
MID- DAY MEAL SCHEME (MDMS)
SAMAGRA SHIKSHA ABHIYAN (SMSA)
MAHATMA GANDHI NATIONAL RURAL EMPLOYMENT GUARANTEE SCHEME (MGNREGS)