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Channel
UPSC Prelims 2027
@UPSC_PrelimsMains_Notes
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
10,830subscribers
-215 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002000536745 |
|---|---|
| Type | Channel |
| Username | @UPSC_PrelimsMains_Notes |
| Created | Between 1 November 2023 and 30 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/UPSC_PrelimsMains_Notes |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 14:37 | 10,830 | -27 |
| 6 Sept 2026, 07:36 | 10,857 | -13 |
| 4 Sept 2026, 00:01 | 10,870 | -6 |
| 2 Sept 2026, 14:23 | 10,876 | -9 |
| 1 Sept 2026, 11:55 | 10,885 | -4 |
| 31 Aug 2026, 13:02 | 10,889 | -4 |
| 30 Aug 2026, 15:13 | 10,893 | -9 |
| 29 Aug 2026, 18:44 | 10,902 | -7 |
| 28 Aug 2026, 15:56 | 10,909 | -4 |
| 27 Aug 2026, 14:43 | 10,913 | -7 |
| 26 Aug 2026, 11:35 | 10,920 | -7 |
| 25 Aug 2026, 12:53 | 10,927 | -8 |
| 24 Aug 2026, 14:27 | 10,935 | -9 |
| 23 Aug 2026, 00:04 | 10,944 | -8 |
| 21 Aug 2026, 12:08 | 10,952 | -6 |
| 20 Aug 2026, 09:35 | 10,958 | -3 |
| 19 Aug 2026, 09:24 | 10,961 | -7 |
| 18 Aug 2026, 08:17 | 10,968 | -7 |
| 17 Aug 2026, 10:44 | 10,975 | -15 |
| 15 Aug 2026, 17:46 | 10,990 | first reading |
Engagement
109 posts held, back to 3 August 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 39 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.088%
- avg views ÷ 10,830 subscribers
- Avg views / post
- 9.6
- 70 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 70
- of 109 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.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 109 (3 August 2026 – 1 September 2026) |
| Views total | 670 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Sept 2026, 19:59 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
- 22m 33s
- Average length
- 1m 02s
Measured directly from 22 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.
Recent posts
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
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UPPSC TOPPER STRATEGY, BOOKLIST , COACHING Name -ANUSHKA (Gyan sir Student ) ,Post = DSP ,Rank 84 सिर्फ SCS Gyan sir को Strictly Follow करके टाॅपर बनीं ( up pcs topper finally selected from 🔥GYAN SIR study for civil services ) #uppsc #uppcs Gyan sir SCS Selection Material + SCS Paid Quiz + SCS Test series से हर बार 125 से 135 सवाल आ जाते हैं, कट ऑफ निकालने के लिए Maximum 90-95 सवाल Net मे सही चाहिए। UPPCS PRE 20…
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Showing the 12 most recent of 109 posts we hold for @UPSC_PrelimsMains_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
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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@studyforcivilservices · 291,04121 postsEdudeem IAS
@edudeemias · 6,9366 postsSarat Chandra IAS Academy
@Saratchandraiasacademy · 6,4905 postsLIFE & UPSC with Shubham Ajmera
@essaysandbeyond · 54,4404 postsANTHRO Compass 🧭
@ANTHROcompass · 4,7951 postCurrent Affairs Made easy!
@CAmadeeasyy · 6,7401 postCSAT - by Sunya IAS
@CsatSunyaIAS · 51,5421 postPSIR Compass 🧭
@PSIRcompass · 11,9531 postNET SET JRF notes Professor Adda
@ugcnet_notes_pdf · 78,9301 postUPSC and Beyondd with Shubham Ajmera
@upscandbeyondd · 26,6841 postZoology Optional - Sunya IAS
@zoologyoptional_sunyaias · 901 post
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.
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“UPSC Prelims 2027” (@UPSC_PrelimsMains_Notes), 10,830 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/UPSC_PrelimsMains_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.