https://youtube.com/shorts/iKtVjCRNqGU?si=VfZ5d4ZN_sKGJwJg
👏1

Channel
@testbook_UPSC
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
8,774subscribers
-372 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001178512193 |
|---|---|
| Type | Channel |
| Username | @testbook_UPSC |
| Description | UPSC CSE Preparation - Here you’ll get all PDFs & latest update for your UPSC CSE😍 ✅ Join SuperCoaching UPSC CSE: https:https://testbook.com/upsc-cse-coaching ✅ Free Youtube lectures: https://www.youtube.com/c/SuperCoachingIASbyTestbook |
| Created | Between 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 November 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 2 November 2026 |
| On Telegram | t.me/testbook_UPSC |
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 11 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 |
|---|---|---|
| 2 Nov 2026, 21:57 | 8,774 | -8 |
| 30 Oct 2026, 13:55 | 8,782 | -25 |
| 27 Oct 2026, 05:28 | 8,807 | -11 |
| 24 Oct 2026, 03:28 | 8,818 | -6 |
| 21 Oct 2026, 01:36 | 8,824 | -16 |
| 17 Oct 2026, 23:36 | 8,840 | -9 |
| 15 Oct 2026, 09:16 | 8,849 | -13 |
| 12 Oct 2026, 13:29 | 8,862 | -34 |
| 6 Oct 2026, 00:00 | 8,896 | -23 |
| 28 Sept 2026, 10:37 | 8,919 | -44 |
| 18 Sept 2026, 19:16 | 8,963 | -17 |
| 14 Sept 2026, 14:17 | 8,980 | -20 |
| 10 Sept 2026, 16:38 | 9,000 | -26 |
| 5 Sept 2026, 06:17 | 9,026 | -18 |
| 1 Sept 2026, 00:17 | 9,044 | -15 |
| 29 Aug 2026, 07:42 | 9,059 | -9 |
| 26 Aug 2026, 01:17 | 9,068 | -14 |
| 23 Aug 2026, 05:18 | 9,082 | -4 |
| 19 Aug 2026, 10:28 | 9,086 | -23 |
| 16 Aug 2026, 18:17 | 9,109 | first reading |
38 posts held, back to 21 May 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 34 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. It is computed over the 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 October 2026 |
|---|---|
| Posts held | 38 (21 May 2026 – 23 October 2026) |
| Views total | 894 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 09:44 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.
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
22 reactions across 13 posts, in 5 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 11 | 50.0% | |
| ❤ | 8 | 36.4% | |
| 👍 | 1 | 4.55% | |
| 🔥 | 1 | 4.55% | |
| 😁 | 1 | 4.55% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 15 of the 38 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 22 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 21 May 2026 to 23 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram’s own ‘edited’ marker: 0 of 3 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).
https://youtube.com/shorts/iKtVjCRNqGU?si=VfZ5d4ZN_sKGJwJg
👏1
🗺️ MAPS IN 60 SECONDS — A NEW SERIES! Maps have always been a concern for many of you. Where is a place located? Why is it strategically important? What makes its geography unique? So, let's make maps simpler, one location at a time. Introducing Maps in 60 Seconds — a series where we explore interesting places, understand their geographical significance, and connect maps with the world around us. 📍 Episode 01: Va…
A small initiative for UPSC aspirants! This week, I'm keeping some time aside for a few 10-minute one-to-one interactions with aspirants. If you're preparing for UPSC CSE 2027 and struggling with preparation strategy, consistency, answer writing, optional preparation, or simply figuring out what to do next, let's talk. You can share your current preparation status, the challenges you're facing, and where you feel …
Is the U.S.–China rivalry really India’s opportunity? Or should India focus on building its own economic, military & technological power? My latest reel explores the geopolitics behind this. 🌏 Watch it and tell me what you think. https://www.instagram.com/reel/Ddt1q1tPUiv/?stkn=MTlxNGNhNjcyYWl6ZQ==
Case study 03 1999 Tropical cyclones and there after the dramatic change in disaster management in India. May be just like what is 1999 for Odisha, hopefully 2026 should be for Nepal https://www.instagram.com/reel/DdbDdE0PjSO/?stkn=MWF2YWhhc2RoZm03cg==
https://youtube.com/shorts/QS3wgyMuNgE?si=wyx4jj7aBiTkZT1C
Case study bank 02 Karakatao 1883 eruption 🌋: One of the fascinating story of volcanoes Scientists estimate the sound hit 310 dB, which is far past the physical limit of normal sound waves and acts as a massive shockwave. https://www.instagram.com/reel/DdVuIRlPN_7/?stkn=MXdhb3NxNXN5aGNhbA==
Case study bank 01 Anak Krakatau Volcano Tsunami & Disaster Management https://www.instagram.com/reel/DdNyqDavNY9/?stkn=Z2EwbnpvajFmN2Jl
https://youtube.com/shorts/TtL75Mf0QIw?si=lNwqIoQ1oQQQUhhe
You all have enjoyed the 1980's trend with nostalgia .but it comes with a hidden cost . do watch 👇 You can also use it as a case study ..note down all the points Case study 01 https://www.instagram.com/reel/DdJx4PtyZBN/?stkn=czZlemY0cWVvOTdu
https://youtube.com/shorts/RlRfJEn6yMk?si=sSdEEQaKtkrMYH3v
https://youtube.com/shorts/eDZFmIce_x8?si=fos9B4hV1ugtNI3B
Showing the 12 most recent of 38 posts we hold for @testbook_UPSC. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 2 November 2026 — this entry's latest reading, not the date you are reading this.
“SuperCoaching UPSC IAS by Testbook” (@testbook_UPSC), 8,774 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/testbook_UPSC.
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.