Telegram RegisterThe public register of Telegram

Channel

UPSC Analytics

@upscseeproanalytics

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,104subscribers

+5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003872052610
TypeChannel
Username@upscseeproanalytics
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/upscseeproanalytics

Growth

1,0971,1041,100.56 August 2026 — 1,099 subscribers6 August 2026 — 1,099 subscribers7 August 2026 — 1,097 subscribers13 August 2026 — 1,104 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +5. 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 1,096–1,105 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 12:161,104+7
7 Aug 2026, 07:161,097-2
6 Aug 2026, 12:181,099no change
6 Aug 2026, 08:331,099first reading

Engagement

12 posts held, back to 27 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
45.4%
avg views ÷ 1,104 subscribers
Avg views / post
501
12 posts measured
Reaction rate
0.991%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 10 of 12 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 5 August 2026
Posts held12 (27 July 20265 August 2026)
Views total6,014
Reactions total49
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 12:18 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.

Reaction mix

49 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 61.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3061.2%
😁1122.4%
👍48.16%
🔥24.08%
👏12.04%
💯12.04%

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 10 of the 12 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 49reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 27 July 2026 to 5 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.

Recent posts

5 Aug 2026, 05:38 UTC279 views8 reactionsread 6 August 2026
Photo

Can be used in GS4 @upscseeproanalytics

😁53

5 Aug 2026, 02:47 UTC307 views2 reactionsread 6 August 2026
Photo

Some interesting articles from last 15 days. CA till 3rd August has been updated in CA Playground. @upscseeproanalytics

2

4 Aug 2026, 18:18 UTC574 views7 reactionsread 6 August 2026
Video

Last days scenes https://www.instagram.com/reel/DboLuiITkF_/?igsh=Y2s0cmM0MXlieWs1 @upscseeproanalytics

😁6💯1

2 Aug 2026, 18:59 UTC433 views4 reactionsread 6 August 2026

Global Targets of the Sendai Framework (2015–2030) The Sendai Framework has seven global targets (A–G): A. Reduce global disaster mortality. B. Reduce the number of affected people globally. C. Reduce direct economic losses relative to global GDP. D. Reduce disaster damage to critical infrastructure and disruption of basic services (health, education, etc.). E. Increase the number of countries with national and local

👍4

1 Aug 2026, 08:33 UTC630 views5 reactionsread 6 August 2026

Since Mains is near : 1. Pls don't read anything from now on that you won't be able to revise ATLEAST 3x. 2. Coming to revisions, aim for 3 revisions - First one spread over 10-12 days should be full on active recall but for topics that are high ROI. Revise current themes in this. For the second revision - in the week before mains - do a short circuited active recall - just major keywords and value addition stuff li

5

30 Jul 2026, 09:09 UTC622 views2 reactionsread 6 August 2026

Channel Directory : 1. CA Themes : here 2. CA Playground 3. Mains Playground : here 4. Map Playground : here, here, updates 5. CA Playground Background and Philosophy : CA Intros, Intros2, Intro3 - background 6. Mains Links : Ethics, General Approach , Poverty approach , Same question multiple subjects, Other tidbits : here, Last days tips1, Last days tips2 7. GS3 Links : here 8. PCS Playground : Here 9. PSIR Not

🔥2

30 Jul 2026, 08:53 UTC498 viewsread 6 August 2026

Prof. Mearsheimer now has his own YT channel : https://www.youtube.com/@JohnMearsheimer

30 Jul 2026, 05:47 UTC559 views2 reactionsread 6 August 2026
Photo

With PlutoAI, you will not only be able to ask your queries about the platform, but also query the platform for data. For instance, if one wants to extract Intros related to some topic or Data points or dimensions from particular topper copies in mains playground - all such use cases will be supported by Pluto. Also, if one wants an answer for a particular question using only content from topper copies, Pluto will

2

29 Jul 2026, 17:24 UTC299 views0 reactionsread 6 August 2026

MAINS 365 summaries(25-26): Economy - click here IR - click here Science and tech - click here Social issues - click here Polity and governance- click here @UPSCSAGAA

28 Jul 2026, 09:49 UTC629 views15 reactionsread 6 August 2026

Mains 26 candidates must be feeling the heat. As the D-Day approaches near, the weight of the syllabus and piling up backlogs will keep mounting. But, as with good problem solving - the essence is in breaking down the parts. Have daily plans - daily goals. Moderation is the key now. Also, by this time, the neural connections are up there. In some moments, due to exhaustion , you might not be able to recall entire stu

14👏1

28 Jul 2026, 08:23 UTC570 viewsread 6 August 2026
Photo

Access control on the site has been revamped. Going forward, there is no hourly restriction on any feature. Free trial will include limited data but all of the features. For instance, no 2 hour or 4 hour preview limits on CA playground and Map playground - all features will be available for users to explore. This is as per user feedback and we feel it allows users to explore the site and its features in a better m

27 Jul 2026, 15:26 UTC614 views4 reactionsread 6 August 2026
Photo

Many new World Geography features have been added in Map Playground. Rivers, deserts, plateaus, mountain ranges, lakes have been added. Almost all are derived from PYQs asked in CSE Prelims. Also, a 3d globe centre button has been added which puts the globe at centre of screen and eases navigation. A starry background has been added which fills up the night sky in 3d globe view. Thanks for your suggestions everyon

4

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

Citation-graph rank

Citation-graph rank — 208,580 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“UPSC Analytics” (@upscseeproanalytics), 1,104 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/upscseeproanalytics.

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.