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Channel

UPSC Polity PSIR Notes

@UPSC_Polity_PSIR_Notes

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

34,425subscribers

-192 since we began measuring on 24 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001688002478
TypeChannel
Username@UPSC_Polity_PSIR_Notes
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 August 2026
Last confirmed live3 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/UPSC_Polity_PSIR_Notes

Growth

34,42534,61734,52124 August 2026 — 34,617 subscribers24 August 2026 — 34,602 subscribers25 August 2026 — 34,583 subscribers26 August 2026 — 34,568 subscribers27 August 2026 — 34,555 subscribers28 August 2026 — 34,536 subscribers29 August 2026 — 34,508 subscribers31 August 2026 — 34,480 subscribers1 September 2026 — 34,450 subscribers2 September 2026 — 34,443 subscribers3 September 2026 — 34,425 subscribers24 August 20263 September 2026
11 measurements spanning 10 days, net -192. 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 34,396–34,646 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Sept 2026, 08:5334,425-18
2 Sept 2026, 03:2234,443-7
1 Sept 2026, 04:1834,450-30
31 Aug 2026, 00:3734,480-28
29 Aug 2026, 23:3734,508-28
28 Aug 2026, 20:1434,536-19
27 Aug 2026, 17:5534,555-13
26 Aug 2026, 17:0234,568-15
25 Aug 2026, 18:3334,583-19
24 Aug 2026, 21:5434,602-15
24 Aug 2026, 03:3034,617first reading

Engagement

42 posts held, back to 19 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.363%
avg views ÷ 34,425 subscribers
Avg views / post
125
42 posts measured
Reaction rate
0.766%
reactions ÷ views · ER floor
Posts in window
42
of 42 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. It is computed over the 4 of 42 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held42 (19 August 20262 September 2026)
Views total5,250
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 08:30 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
13m 58s
Average length
1m 16s

Measured directly from 11 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

4 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
375.0%
👍125.0%

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 4 of the 42 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 42 most recent posts we hold, published 19 August 2026 to 2 September 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

2 Sept 2026, 16:04 UTC53 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_QuizVideo

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2 Sept 2026, 13:45 UTC69 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_Quiz

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2 Sept 2026, 12:31 UTC66 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_QuizFile

File, posted without a caption

2 Sept 2026, 12:31 UTC63 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_QuizPhoto

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2 Sept 2026, 11:04 UTC67 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_QuizPhoto

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1 Sept 2026, 16:14 UTC105 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_QuizVideo

UPPSC RO ARO 2023 TOPPER RANK 7 FROM SCS RO ARO 2023 TOPPER ने बताया RO ARO 2026 मे सफल होने की STRATEGY BOOKLIST RO ARO 2026 Complete Foundation Preparation ( New Syllabus, Latest Trend,Pattern पर आधारित ) = https://t.me/studyforcivilservices/54614 #uppsc #roaro #roaro2026

1 Sept 2026, 12:36 UTC105 viewsread 3 September 2026
Forwarded from @ANTHROcompassFile

UPSC 2026 Anthropology — PYQ & Topper Copy Hit Analysis Direct hits: 14/28 (Paper I) | 17/28 (Paper II) Partial hits: 9/28 (Paper I) | 7/28 (Paper II) Paper I: 23/28 hits Paper II: 24/28 hits Total: 47/56 questions were covered by our sources. From our courses: PYQs (2013-25) Model Answers | Topper's Copies We are going strong💪 @ANTHROCompass

31 Aug 2026, 14:39 UTC142 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_QuizFile

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31 Aug 2026, 12:16 UTC138 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_QuizPhoto

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30 Aug 2026, 15:43 UTC152 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_QuizVideo

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30 Aug 2026, 12:44 UTC95 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_QuizPhoto

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30 Aug 2026, 08:12 UTC149 viewsread 3 September 2026
Forwarded from @UPSC_Prelims_MCQs_QuizPhoto

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Showing the 12 most recent of 42 posts we hold for @UPSC_Polity_PSIR_Notes. 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

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

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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@environment_ecology_videos_notes · 5,143
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Read from Telegram’s recommendation API, most recently 3 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Upsc Economy Mcq
@prelims_economy_mcqs · 44,547
Telegram ranks this channel #19 of 78 here — alongside 77 others — read 28 August 2026
UPSC State PCS Ro Aro Exams
@UPSC_State_PCS_Exams · 47,070
Telegram ranks this channel #29 of 59 here — alongside 58 others — read 26 August 2026
Current Affairs
@CurrentAffairs24_7 · 39,995
Telegram ranks this channel #33 of 62 here — alongside 61 others — read 30 August 2026
Sociology
@Sociology_OptionalMains · 40,319
Telegram ranks this channel #54 of 80 here — alongside 79 others — read 30 August 2026
MISSION UPSC
@MISSION_UPSC_CivilServices · 53,835
Telegram ranks this channel #58 of 81 here — alongside 80 others — read 24 August 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. 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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“UPSC Polity PSIR Notes” (@UPSC_Polity_PSIR_Notes), 34,425 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/UPSC_Polity_PSIR_Notes.

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.