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.
Growth
59 measurements spanning 96 days, net +432. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 15,824–16,386 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
14 Nov 2026, 17:56
16,321
+8
11 Nov 2026, 20:37
16,313
+16
9 Nov 2026, 22:47
16,297
-6
8 Nov 2026, 10:57
16,303
+4
7 Nov 2026, 06:47
16,299
-2
6 Nov 2026, 08:40
16,301
-2
5 Nov 2026, 07:00
16,303
+9
4 Nov 2026, 08:20
16,294
+9
3 Nov 2026, 06:28
16,285
+9
2 Nov 2026, 03:38
16,276
+1
1 Nov 2026, 02:30
16,275
+3
30 Oct 2026, 23:06
16,272
+3
29 Oct 2026, 19:48
16,269
+4
28 Oct 2026, 17:35
16,265
-9
27 Oct 2026, 14:48
16,274
+9
26 Oct 2026, 15:39
16,265
-2
25 Oct 2026, 14:28
16,267
+4
24 Oct 2026, 11:34
16,263
-8
23 Oct 2026, 13:46
16,271
-5
22 Oct 2026, 14:29
16,276
first reading
Engagement
39 posts held, back to 7 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 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
40.6%
avg views ÷ 16,321 subscribers
Avg views / post
6,630
5 posts measured
Reaction rate
0.851%
reactions ÷ views · ER floor
Posts in window
5
of 39 held
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
39 (7 May 2026 – 11 November 2026)
Views total
33,130
Reactions total
282
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 18:40 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.
What this channel posts
Photos
99
Videos
54
Links
84
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
2,400 reactions across 36 posts, in 7 distinct kinds. The most used accounts for 75.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,810
75.4%
👍
385
16.0%
🔥
147
6.13%
👏
43
1.79%
🤩
7
0.292%
🎉
4
0.167%
🥰
4
0.167%
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 36 of the 39 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 2,400 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 7 May 2026 to 11 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 5 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).
Medicine of Presence
I had felt that I was unable to relax even if I am not doing anything.
Practicing Yoga Nidra has brought a lot of peace and relaxation in my life in bery short time.
It might take a few follows but I highly recommend you to do it whenever you wish to relax a bit.
This is one of my favourite 👇
https://youtu.be/9r8jXUvsi3w?si=TS_7K-KJYwBs8mSp
“The purpose of our goal
is not to realise them.
It's who we become
in pursuit of them.”
You are becoming
the officer you want to be
with every chapter you are revising,
every mistake in the test,
every answer that you are writing.
Be grateful :)
Thanks all for joining the session and giving the amazing response.
Tell me here what you learnt, how did you like the session and will you be joining tomorrow’s session?
Give a good push, and have a productive 2 hour study slot before the session.
We’ll meet at 6PM and I am sure you will get some new good insights that can change the way you see studying a new topic.
The UPSC Coach - Capril pinned «We ll meet at 6PM tomorrow (Saturday) for Session 1. 🔗 Link https://meet.google.com/hxm-omyb-bzu Tomorrow’s session will be making first time readings super effective. We’ll be doing some practice in the session itself. I recommend you bring a chapter/topic…»
Showing the 12 most recent of 39 posts we hold for @theUPSCcoach. 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.
Appears in Telegram’s recommendations for other channels
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.
Quotes for UPSC @quotesforupsc · 19,477 Telegram ranks this channel #1 of 73 here — alongside 72 others — read 30 September 2026
Convert IAS - Official @Convert_IAS · 134,016 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 13 August 2026
UPSC Interview transcripts @upsc_cse_update · 28,091 Telegram ranks this channel #3 of 81 here — alongside 80 others — read 10 September 2026
ForumIASOfficial @forumiasofficial · 29,944 Telegram ranks this channel #4 of 80 here — alongside 79 others — read 8 September 2026
Smriti Shah_UPSC @smriti_shah · 62,649 Telegram ranks this channel #4 of 66 here — alongside 65 others — read 21 August 2026
Madhav Agarwal, AIR 16 CSE24 @madhavagrawalair16 · 20,005 Telegram ranks this channel #6 of 79 here — alongside 78 others — read 3 October 2026
Economics with Nanki @economicswithnanki · 21,416 Telegram ranks this channel #6 of 64 here — alongside 63 others — read 22 September 2026
UPSC Sutra With Ravi Kapoor Ex IRS @becoming_ias_super_simplified · 38,206 Telegram ranks this channel #6 of 88 here — alongside 87 others — read 30 August 2026
UPSC with Kawal Baweja @upscwithkawalbaweja · 25,619 Telegram ranks this channel #7 of 57 here — alongside 56 others — read 13 September 2026
saurabhpolity @saurabhPolity · 11 Telegram ranks this channel #8 of 80 here — alongside 79 others — read 18 September 2026
KALAM IAS Ethics Examples Quotes @UPSC_Ethics_examples_quotes · 20,127 Telegram ranks this channel #10 of 84 here — alongside 83 others — read 27 September 2026
GOALTIDE Prelims IAS Academy @goalTide · 26,334 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 13 September 2026
UPSC Mapping Prelims Mains UPPSC mppsc bpsc @Mapping_prelims_mains · 50,736 Telegram ranks this channel #10 of 92 here — alongside 91 others — read 24 August 2026
Aditya Srivastava AIR 1 UPSC CSE 2023 @aditya297ias · 33,364 Telegram ranks this channel #11 of 77 here — alongside 76 others — read 4 September 2026
Upsc Optional topper notes @Optional_toppers_notes · 42,428 Telegram ranks this channel #11 of 84 here — alongside 83 others — read 28 August 2026
KARMAYOGI IAS by Aditya sir @karmayogi_ias · 54,425 Telegram ranks this channel #11 of 71 here — alongside 70 others — read 23 August 2026
Clear Vision For UPSC @Clearvisionforupsc · 65,981 Telegram ranks this channel #11 of 71 here — alongside 70 others — read 22 August 2026
Sarrthi IAS @SarrthiMentorship · 72,278 Telegram ranks this channel #11 of 81 here — alongside 80 others — read 20 August 2026
BPSC 72nd 73rd prelims @bpsc_exam_prep · 26,285 Telegram ranks this channel #12 of 57 here — alongside 56 others — read 12 September 2026
Peeyush Kumar_UPSC @peeyushupsc · 39,949 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 31 August 2026
KBs IAS® @KBsIAS · 45,060 Telegram ranks this channel #12 of 84 here — alongside 83 others — read 27 August 2026
Swati Sharma AIR 17 CSE'23 @air17swati · 22,856 Telegram ranks this channel #13 of 75 here — alongside 74 others — read 20 September 2026
UPSC ethics @upsc_ethics_toppers · 35,304 Telegram ranks this channel #13 of 85 here — alongside 84 others — read 1 September 2026
Mehak Jain, AIR 17 : Notes and Strategy @mehak_jainAIR17 · 60,156 Telegram ranks this channel #13 of 80 here — alongside 79 others — read 22 August 2026
This channel appears in 134 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“The UPSC Coach - Capril” (@theUPSCcoach), 16,321 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/theUPSCcoach.
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.