That's not correction. That's simply shifting the goalposts. Original post is talking about an established civilization before 4500BCE and you are using 2019 DNA research which only establishes that steppe pastoralists brought Indo-Aryan languages. While there are enough examples (the latest being Bhirrana excavation-carbon dated to 7700BCE) which demonstrate deep antiquity and cultural continuity in the Sarasvati-Ghaggar region, predating Mature IVC urban sites. This supports the idea of indigenous development of early farming/settled life in northwest India. And there is a big gap between 2000-1500 BCE (Aryan Migration) timeline and Bhirrana (7500-6200BCE). So yeah! There did exist civilization well before your AMT. At best, it can only tell that steppe pastoralists brought proto-Sanskrit/ Vedic languages.
#FACTCHECK
On 23.06.2026, at Jantar Mantar, during the CJP protest, Sh Sanjay Kumar (38), a resident of Ghaziabad, sustained a head injury by Kada worn by one of the alleged during a scuffle.
He was medically examined by Doctors of RML Hospital, and the injuries were opined to be simple in nature. The injuries were made by kada and not by any weapon. The misinformation regarding crack in skull is not supported by facts/ MLC and is completely baseless.
On his statement, a case under relevant provisions of the Bharatiya Nyaya Sanhita was registered at PS Parliament Street. They were detained from the site and during investigation, Suraj Kumar (24) and Swatantra Bhardwaj (21) were served notices as per law and were interrogated. Due legal action has been taken, and chargesheet would be filed before the competent court soon.
Any allegation of undue influence or interference in the matter is factually incorrect and baseless.
The matter has been dealt with strictly in accordance with law and procedures.
I’m picking up this comment👇🏽 as a SAMPLE of the kind of comments people are posting to defend the bogus 2.6% claim.
🤦🏽♂️🤦🏽♂️🤦🏽♂️ “% would not change bcos of unit change?” Wow!
Please give full economic analysis before making claims.
Base year revisions update the structural reality of the economy. Expanding sectors (like digital commerce, advanced manufacturing, or renewable energy) receive higher weights in the calculation, while obsolete sectors are minimized or removed. This changes the actual volume of economic activity being measured across the board.
You didn't mention the GDP diflator. Who will tell about the double diflation squueze? Why this squeeze is one of the reasons in bringing down that revised nominal GDP? Only mentioning the word 'methodology' gives half picture.
India’s previous major base year shift integrated the MCA-21 database, moving away from relying heavily on sample surveys to analyzing the actual financial filings of hundreds of thousands of corporations. This captures the corporate and informal sectors with much higher fidelity. Who will tell about this?
Not only the Q1 FY 25-26 nominal GDP changed but this FY26-27 as well. The new framework is applied to all years in the series. If you change how you measure output, the current year's nominal GDP must also be recalculated to allow for an apples-to-apples comparison. Who will tell about this? The word 'new methodology' ?
A landmark study published in the journal Science demonstrated that reading literary fiction significantly enhances Theory of Mind, i.e., the cognitive ability to read the emotions, intentions, and mental states of others. Movies do the emotional heavy lifting for you through musical cues and actors' facial expressions. Fiction leaves deliberate gaps, forcing your brain to decode the characters' psychology itself, which directly sharpens real-world social intelligence.
This is what happens when new wannabe UPSC teachers force their unsubstantiated views. They jump into economy, literature, politics and what not.
Books aren't much different than movies , if you are watching a movie everyday or reading a book everyday... It's no different.
Book lovers just pretend that they are doing something better. Beyond a point it's equally useless, specially fiction books.
Academic books might help.
किसी भी मात्रा की वृद्धि दर निकालने का मूल सूत्र यही है:
वृद्धि दर = (वर्तमान मात्रा में परिवर्तन ÷ प्रारंभिक मात्रा) × 100
इस गणना की अनिवार्य शर्त है कि अंश और हर (numerator and denominator), दोनों को एक ही आधार वर्ष और समान कीमतों पर मापा गया हो। यदि हर (denominator) में GDP को 2011–12 के आधार वर्ष पर लिया जाए, लेकिन अंश (numerator) में GDP का परिवर्तन 2022–23 के आधार वर्ष पर मापा जाए, तो यह दो अलग अलग पैमानों की तुलना होगी। ऐसी वृद्धि दर न अर्थशास्त्र की दृष्टि से सही होगी, न गणित की कसौटी पर टिकेगी और न ही सामान्य तर्क के अनुरूप होगी।
सही तरीका यह है कि दोनों वर्षों के GDP आंकड़ों को पहले एक ही आधार वर्ष पर मापा जाए और उसके बाद उनकी वृद्धि दर निकाली जाए। आधार वर्ष 2011–12 हो या 2022–23, अंश और हर का पैमाना समान होना अनिवार्य है।
इसलिए Q1 की नॉमिनल GDP वृद्धि दर निकालते समय दोनों अवधियों के आंकड़े एक ही श्रृंखला, समान पैमाने और समान गणना पद्धति पर होने चाहिए। इस सही और समरूप तुलना के आधार पर Q1 में नॉमिनल GDP की वृद्धि दर 10.3 प्रतिशत है, न कि 2.6 प्रतिशत। 2.6 प्रतिशत का दावा अलग अलग आधारों पर तैयार किए गए आंकड़ों को मिलाकर की गई त्रुटिपूर्ण गणना का परिणाम है।
@Subhashgarg1960 The lie has a limited life. To extend the life, more lies are told. First it was 2.6% then it came 0 and then again 5% atleast.
But the truth, the absolute 7.8% truth, remains as it is. Unyielding, firm and indifferent.
@Subhashgarg1960
Can you still give clarification as to why you divided numerator from a different denominator series?
What kind of basic economics you studied? Please don't give crap of 'if they would have kept the same base year'......in that case many indicators would be having different reflections and still you will not be able to get 2.6%.
I mean I get that many civil servants lack reasoning and aptitude, but you were in a department that literally cried for these.
Primary Sector (2.9% Real Growth):
•Agriculture, Livestock, Forestry & Fishing grew by 3.6%.
•Mining & Quarrying experienced a contraction of 2.4%.
Secondary Sector (8.6% Real Growth):
•Manufacturing was a key driver, posting a 9.2% growth in real terms to reach ₹10,24,417 crore. In nominal terms, manufacturing expanded by 12.6%.
•Electricity, Gas, Water Supply & Other Utility Services grew by 8.9%.
•Construction registered a growth rate of 7.7%.
Tertiary Sector (10.0% Real Growth):
•Financial, Real Estate, IT & Professional Services led the sector with a robust 12.1% growth rate.
•Trade, Hotels, Transport, Communication & Broadcasting Services grew by 8.5%.
•Public Administration, Defence & Other Services observed a 7.5% growth rate.
India’s Growth Story Stays Strong!
India grew at 7.8%. But a confusing GDP comparison is making headlines.
Here’s what the numbers actually say. Real GDP grew 7.8% YoY in Q1 FY27; nominal GDP grew 10.3%, while the 2.6% figure comes from mixing numbers from two different GDP series.
The key is simple: compare like with like.
#IndianEconomy
#NewIndia
#GDP
Primary Sector (2.9% Real Growth):
•Agriculture, Livestock, Forestry & Fishing grew by 3.6%.
•Mining & Quarrying experienced a contraction of 2.4%.
Secondary Sector (8.6% Real Growth):
•Manufacturing was a key driver, posting a 9.2% growth in real terms to reach ₹10,24,417 crore. In nominal terms, manufacturing expanded by 12.6%.
•Electricity, Gas, Water Supply & Other Utility Services grew by 8.9%.
•Construction registered a growth rate of 7.7%.
Tertiary Sector (10.0% Real Growth):
•Financial, Real Estate, IT & Professional Services led the sector with a robust 12.1% growth rate.
•Trade, Hotels, Transport, Communication & Broadcasting Services grew by 8.5%.
•Public Administration, Defence & Other Services observed a 7.5% growth rate.
The most relevant answer is 'the double deflation' squeeze.
You want explanation in layman terms? Get the baker analogy. Suppose you bake cakes. You buy flour and sugar for ₹40 (input) and sell a finished cake for ₹100 (output). The actual value you added to the economy is ₹60. Maan lo ki next year, a massive wheat shortage causes the price of your flour to skyrocket, bringing your total input cost to ₹80. However, you can only raise the price of your cake to ₹110 before customers refuse to buy it. Your new value added is now only ₹30 (₹110 - ₹80). Your actual economic output has been severely squeezed by inflation.
Under the older measurement system, the government only looked at the inflation of your finished cake. Seeing that the cake price rose by 10% (from ₹100 to ₹110), the mathematical model mistakenly assumed your flour costs also rose by only 10%. It completely missed the wheat shortage and artificially overestimated how much value you actually produced. Double deflation measures both ends of the transaction independently. It applies one inflation tracker to your raw materials and a completely separate inflation tracker to your finished goods.
The most relevant answer is 'the double deflation' squeeze.
You want explanation in layman terms? Get the baker analogy. Suppose you bake cakes. You buy flour and sugar for ₹40 (input) and sell a finished cake for ₹100 (output). The actual value you added to the economy is ₹60. Maan lo ki next year, a massive wheat shortage causes the price of your flour to skyrocket, bringing your total input cost to ₹80. However, you can only raise the price of your cake to ₹110 before customers refuse to buy it. Your new value added is now only ₹30 (₹110 - ₹80). Your actual economic output has been severely squeezed by inflation.
Under the older measurement system, the government only looked at the inflation of your finished cake. Seeing that the cake price rose by 10% (from ₹100 to ₹110), the mathematical model mistakenly assumed your flour costs also rose by only 10%. It completely missed the wheat shortage and artificially overestimated how much value you actually produced. Double deflation measures both ends of the transaction independently. It applies one inflation tracker to your raw materials and a completely separate inflation tracker to your finished goods.
The most relevant answer is 'the double deflation' squeeze.
You want explanation in layman terms? Get the baker analogy. Suppose you bake cakes. You buy flour and sugar for ₹40 (input) and sell a finished cake for ₹100 (output). The actual value you added to the economy is ₹60. Maan lo ki next year, a massive wheat shortage causes the price of your flour to skyrocket, bringing your total input cost to ₹80. However, you can only raise the price of your cake to ₹110 before customers refuse to buy it. Your new value added is now only ₹30 (₹110 - ₹80). Your actual economic output has been severely squeezed by inflation.
Under the older measurement system, the government only looked at the inflation of your finished cake. Seeing that the cake price rose by 10% (from ₹100 to ₹110), the mathematical model mistakenly assumed your flour costs also rose by only 10%. It completely missed the wheat shortage and artificially overestimated how much value you actually produced. Double deflation measures both ends of the transaction independently. It applies one inflation tracker to your raw materials and a completely separate inflation tracker to your finished goods.
Almost everyone has internet access on their fingertips. Why to blindly accept argument of either Subhash Garg or K Subramanian? You can't tell one's political inclination.
The arithmetic is absolute. It's as simple as that. The base year change is open to all. Many sectors growth can be tracked.
But you will see only two arguments from the people doubting these numbers.
1. Why market isn't reacting to the numbers (as if US-Iran doesn't matter) and investors work on backward looking GDP numbers?
2. The GDP numbers are big because of revision. Had it been the same baseline, it would have come 2.6%. Are we only going to divide ny 2011-2012 series denominator? What will happen to the other indicators which will also have different weightage (considering the 2011-2012 series)?
One has to think beyond these nunances.
Onus goes to local administration and DC for well-being of govt schools. Since, they are incompetent corrupt public servants, state govts are unnecessarily targeted. It's nearly impossible to get every follow-up by the head of the state govts to the last mile. That's why power is decentralised. However, years of slavery has finished basic integrity for our assigned duties that we don't care for preventive measures. And this goes beyond Cong/BJP ruled states.The physical reality of managing any massive, multi-layered system dictates that top-level leadership simply cannot monitor every single moving part on the ground.
India’s Growth Story Stays Strong!
India grew at 7.8%. But a confusing GDP comparison is making headlines.
Here’s what the numbers actually say. Real GDP grew 7.8% YoY in Q1 FY27; nominal GDP grew 10.3%, while the 2.6% figure comes from mixing numbers from two different GDP series.
The key is simple: compare like with like.
#IndianEconomy
#NewIndia
#GDP
The ‘A’ is back after 35+ years. JCRA has upgraded India to ‘A-’. Recognition of India’s growth momentum, macro stability, deep structural reforms, and the strength of Centre-State partnership.
@PMOIndia@nsitharaman@FinMinIndia@DrSJaishankar 1/2
Before dodging, kindly reply whether the arithmetic i mentioned is correct or not? The statistics and arithmetic are always absolute. There is no ambiguity in reading them. So, I ask again, whether the arithmetic I just mentioned is correct or not?
@Subhashgarg1960
Can you still give clarification as to why you divided numerator from a different denominator series?
What kind of basic economics you studied? Please don't give crap of 'if they would have kept the same base year'......in that case many indicators would be having different reflections and still you will not be able to get 2.6%.
I mean I get that many civil servants lack reasoning and aptitude, but you were in a department that literally cried for these.
The A-rating upgrade by the Japanese Credit Rating Agency is a magical moment for India and calls for celebration. We need to applaud the robustness of the new GDP methodology. Double deflation is embedded in scientific reasons, long-demanded as a methodological improvement. 1/3