Channel
@economyhighlights
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
20,329subscribers
-393 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001456907475 |
|---|---|
| Type | Channel |
| Username | @economyhighlights |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 58 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/economyhighlights |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 23:11 | 20,329 | -11 |
| 3 Nov 2026, 21:57 | 20,340 | -7 |
| 2 Nov 2026, 21:58 | 20,347 | -5 |
| 1 Nov 2026, 19:30 | 20,352 | -11 |
| 31 Oct 2026, 17:10 | 20,363 | -6 |
| 29 Oct 2026, 17:30 | 20,369 | -1 |
| 28 Oct 2026, 18:08 | 20,370 | +7 |
| 27 Oct 2026, 16:55 | 20,363 | +3 |
| 26 Oct 2026, 16:11 | 20,360 | +10 |
| 25 Oct 2026, 17:29 | 20,350 | +1 |
| 24 Oct 2026, 19:40 | 20,349 | -5 |
| 23 Oct 2026, 18:48 | 20,354 | -8 |
| 22 Oct 2026, 19:11 | 20,362 | -12 |
| 21 Oct 2026, 13:41 | 20,374 | -13 |
| 20 Oct 2026, 10:55 | 20,387 | -10 |
| 19 Oct 2026, 08:38 | 20,397 | -6 |
| 18 Oct 2026, 08:50 | 20,403 | +2 |
| 17 Oct 2026, 10:04 | 20,401 | -4 |
| 16 Oct 2026, 11:47 | 20,405 | -1 |
| 15 Oct 2026, 13:06 | 20,406 | first reading |
28 posts held, back to 10 February 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 62 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 27 October 2026 |
|---|---|
| Posts held | 28 (10 February 2026 – 27 October 2026) |
| Views total | 10,950 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 14:55 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Telegram’s own ‘edited’ marker: 0 of 2 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
✅Gs-3 : Environment- Climate change ✅Gs-3 : Agriculture 📌Main issue : Fertiliser subsidy regime has ruined the soil quality- Urea remains relatively cheap → Farmers favour nitrogen → Other nutrients become relatively expensive → Nutrient imbalance persists ⚜️The cited ICRIER study reports:Nitrogen application shifting from 7% below estimated requirement to 6% above.Potassium deficiency increasing from 48% to 72%.…
✅Gs-3 : Economic growth, investment and monetary policy 🅾️Economic outcomes depend on interactions among households, firms, banks and government; individually sensible decisions do not always generate collective prosperity. 🅾️Investment expenditure can raise incomes, from which additional saving emerges. It is not necessary to imagine that every investment must first await an equal increase in household saving. 📌P…
How to manage your speed and time in UPSC mains? #upsccse #civilserviceexam https://youtube.com/shorts/uJSkAENRSNA?feature=share
✅Gs-3 - Internal security ✅Gs-3- Economic growth 🅾️GS-3, 2020: Discuss different types of cyber crimes and measures required to be taken to fight the menace. Although commercial spam is not always cybercrime, spam infrastructure is frequently used for impersonation, phishing and financial fraud. So this news becomes important that way 📌Telecom providers must identify high-probability spam numbers using AI/ML a…
✅Gs-3 - Labor and unemployment 🅾️India does not have one labour market; it has hundreds of locally differentiated labour ecosystems. 🅾️Upsc previously asked a question: Most of the unemployment in India is structural in nature. Examine the methodology adopted to compute unemployment in the country and suggest improvements. 🅾️The revised PLFS design, introduced in January 2025, treats districts rather than larger …
✅Gs-3 : Economic growth - Energy atmanirbharta- Why E20?- Click here ⚠️Impact ⚜️1. E20 may reduce petroleum use, but lower mileage and diversion of agricultural produce can offset gains.Achieving a blending target establishes implementation progress; it does not by itself establish net welfare gains. ⚜️2. Ethanol’s lower energy content can reduce mileage; the effect depends on vehicle design and calibration.The…
✅Gs-2 : IR 🅾️India should use BRICS to expand its development choices- But we should also make sure that the grouping is not going to become an instrument of Chinese strategic influence. The New Development Bank offers a practical route for making sure of this. ✅Gs-3 : Mobilization of resources- BRICS-NDB ⚜️Strategic Goal: The NDB's 2022-26 General Strategy commits to conducting 30% of its lending and borrowing i…
✅Gs-3 : Economic growth - Energy atmanirbharta- ⚠️Mains patterns to note - Click here 📌Why E20? ⚜️Reduces crude-oil imports and foreign-exchange burden. ⚜️Supports sugarcane/grain-based ethanol industry. ⚜️Potentially lowers lifecycle carbon emissions. 📌Central concern: India has a dual fleet: ⚜️Around 70 million newer E20-compatible vehicles. ⚜️Nearly 240 million legacy vehicles designed mainly for E5/E10. 📌T…
✅Gs-3 : Industries- Supply chain management/investment models- Drop shipping- asked in UPSC CSE Prelims 2026 ✅Gs-2 : Governance- consumer protection 🅾️Drop shipping creates a gap between: Who advertises the product, Who collects payment, Who actually manufactures or ships it, Who is accountable if something goes wrong —> This gap creates consumer risk. ⚠️In digital markets, consumer protection cannot depend only o…
✅Gs-3 : Mobilization of resources- Falling FDI 📌Low net FDI(Net FDI = FDI inflows minus FDI outflows) may mean three different things: A fall in net FDI should not be mechanically read as a collapse of investor confidence- It can mean : ⚜️1. Less foreign capital entering India. ⚜️2. More foreign capital exiting India. ⚜️3. More profits/dividends being repatriated. 📌India’s challenge is not merely to attract more F…
✅Gs-3 : Mobilization of resources 🅾️The government has exempted FPIs from income tax on interest and capital gains from investments in G-Secs, effective from 1 April 2026. Similar exemption is provided to the Bank for International Settlements. This improves post-tax returns for foreign investors and aligns India’s G-Sec taxation with comparable jurisdictions 🅾️Short-term investment limits, concentration limits and…
✅Gs-3 : Environment- India- LT-LEDS- Infrastructure-> Urban infra- Urban mobility-> E vehicles 🅾️What does it take for Indian economy to make a transition towards Evs- The structure of our economy is heavily reliant on Oil- Dependency on oil creates a double burden- click here 🅾️What do you need for this? ⚜️1. Semiconductors- click here ⚜️2. Renewable Energy grid stability- Click here 🎖VK IAS subject wise chan…
Showing the 12 most recent of 28 posts we hold for @economyhighlights. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 4 November 2026 — this entry's latest reading, not the date you are reading this.
“UPSC Economy by VK IAS (Vikas Kanukollu)” (@economyhighlights), 20,329 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/economyhighlights.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.