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 why it has no browse page of its own yet.
Growth
21 measurements spanning 31 days, net -52. 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 17,926–17,994 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)
Subscribers
Change
18 Sept 2026, 05:38
17,934
-8
15 Sept 2026, 22:17
17,942
-5
14 Sept 2026, 05:56
17,947
+4
12 Sept 2026, 12:20
17,943
-18
10 Sept 2026, 09:55
17,961
-10
7 Sept 2026, 03:18
17,971
-5
4 Sept 2026, 14:16
17,976
+1
2 Sept 2026, 22:17
17,975
-6
1 Sept 2026, 18:16
17,981
+3
31 Aug 2026, 16:13
17,978
+4
30 Aug 2026, 14:55
17,974
-6
29 Aug 2026, 13:47
17,980
-1
27 Aug 2026, 18:25
17,981
+5
26 Aug 2026, 19:24
17,976
+14
25 Aug 2026, 22:43
17,962
-16
25 Aug 2026, 00:15
17,978
-2
23 Aug 2026, 10:46
17,980
+4
21 Aug 2026, 23:37
17,976
-3
19 Aug 2026, 20:34
17,979
-3
18 Aug 2026, 17:37
17,982
first reading
Engagement
25 posts held, back to 8 July 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 31 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
26.5%
avg views ÷ 17,934 subscribers
Avg views / post
4,750
2 posts measured
Reaction rate
0.463%
reactions ÷ views · ER floor
Posts in window
2
of 25 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 30 August 2026
Posts held
25 (8 July 2026 – 30 August 2026)
Views total
9,500
Reactions total
44
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:58 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
Video runtime
2m 23s
Average length
1m 12s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
300 reactions across 21 posts, in 7 distinct kinds. The most used accounts for 82.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
247
82.3%
🥰
23
7.67%
🔥
16
5.33%
🙏
6
2.00%
👍
4
1.33%
🤩
3
1.00%
🫡
1
0.333%
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 23 of the 25 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 300 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 8 July 2026 to 30 August 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.
Anthropology Paper I — How closely was it aligned with our preparation?
Now that Paper I is over, let’s analyse it question by question.
One thing becomes very clear: a well-planned preparation with repeated PYQ analysis, syllabus coverage and answer-writing practice could have significantly reduced the uncertainty in this paper. And this is what we did.
Q.1
(a) Health as a cultural construct
Moderate | Unit 9.8…
Hope all Mains 2026 candidates have ' RESET ' themselves after GS + Essay for Optional ...
And hope all 2027 candidates are resetting themselves every now and then to be on track 🌟👍
Dear Mains 2026 candidates,
All the very best ...
Always remember.. you have done enough to clear mains.. now it's just the mindgame... Keep up your positive attitude and fight till the last minute.. 30 August 2026 - 5 pm 💪💪
Never ever think about how your performance is..just give your best, complete the papers and sustain the marathon 🌟
Wear your confidence ✨
With Gratitude,
Pallavi 🌻
Dear all
As promised sharing model answers for ethics 4 questions.
Explaining usual four types of Ethics questions -
Q. 1. In normal question I have linked syllabus heads to write ans.
Q 2. In describe the following terms questions please follow definition, diagram, example approach
Q. 3. In questions whenever you can explain any part with diagrams - go for it
Q 4. In quote based question, follow paragraph appr…
Credit to @outsidemyrucksack Instagram account
Found this amazing video which just left me with awe to realise the diversity of my nation 🇮🇳
Blessed beyond any words to be born as Indian 😇
Happiest Independence Day 2026 to all ✨
Dear all,
As promised... sharing 4 different types of questions related to ethics theory... please try to submit answers... will share handwritten model answers for all questions in few days 🙏🏻🙏🏻
Q. 1. All human beings aspire for happiness. Do you agree? What does happiness mean to you? Explain with examples. 10 M
Q 2. What do you understand by the following terms in the context of public service? [150 Words] [2×5=…
Dear all,
Due to huge demand - happiest to launch the Mains Answer Writing Program (Self paced - Pre-Recorded Batch)
Write RIGHT !!!
With this program you will unlock your potential in the UPSC Civil Services Mains Examination. This course is engineered strictly for one purpose: handhold you to deliver top-tier, high-scoring answers. Covering the complete syllabus across GS Papers 1, 2, 3, 4, and the Essay paper, t…
Dear Mains 2025 candidates,
Today is 1st August and you are approximately 3 weeks away from Mother of all exams - Mains ✨
A few important pieces of advice from my side will be -
1. Stop reading anything new. 🙌
It's very tempting and also FOMO feeling to keep on reading/covering things till last moment. But always remember.. anything that you can't make notes or and revise multiple times won't retain in ur system …
Day 34
#FreeDailyMainsAnswerWriting
Q. Naxalism is a social, economic, and developmental issue manifesting as a violent internal security threat. In this context, discuss the emerging issues and a multilayered strategy to tackle the menace of Naxalism. (10 M)
Please comment on the answers in the comment section 🙏
Will share model pointers tomorrow for both questions 🙏🙏
Day 33
#FreeDailyMainsAnswerWriting
What are the research and developmental achievements in applied biotechnology? How will these achievements help to uplift the poorer sections of society? (15 M)
Please comment on the answers in the comment section 🙏
🥰4
Showing the 12 most recent of 25 posts we hold for @UPSC_Simplified_Pallavi_AIR452. 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.
Forward network
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.
Mentions
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@UPSC_Simplified_Pallavi_AIR452 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@outsidemyrucksack named in 5 posts, 19 August 2026 – 1 September 2026
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“UPSC Simplified by Pallavi Sangle (AIR 452 CSE 2022)” (@UPSC_Simplified_Pallavi_AIR452), 17,934 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/UPSC_Simplified_Pallavi_AIR452.
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.