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Telegram profile photo for Peeyush Kumar_UPSC

Channel

Peeyush Kumar_UPSC

@peeyushupsc

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

39,393subscribers

+1,904 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001957632481
TypeChannel
Username@peeyushupsc
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/peeyushupsc

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far above this size band

20,800 average views per post against 39,393 subscribers — an engagement rate of 52.9%. Across the 3,655 registered channels in the same cohort — 31,635–99,947 subscribers, posting mainly in English — the middle half sit between 1.75% and 11.1%, with a median of 5.17%.

What this was computed from
Window30 days (23 August 2026 22 September 2026)
Posts measured11 of 11 published in the window (0 exact, 11 rounded by Telegram)
Views totalled229,090
Mature posts only66.8% over 8 posts read at least 24h after publication
Subscribers39,393 measured 19 September 2026
Cohortb31623:eng · 3,655 channels · p10 0.429% · p25 1.75% · p50 5.17% · p75 11.1% · p90 21.5%
Position in cohort99.234th percentile · 10.2× the cohort median
Uncertainty±0.038% of the figure, from Telegram’s rounding
Post languageEnglish · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 22 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

37,48939,39338,4417 August 2026 — 37,489 subscribers8 August 2026 — 37,586 subscribers9 August 2026 — 37,664 subscribers10 August 2026 — 37,711 subscribers11 August 2026 — 37,808 subscribers12 August 2026 — 37,882 subscribers13 August 2026 — 37,964 subscribers14 August 2026 — 38,060 subscribers16 August 2026 — 38,101 subscribers17 August 2026 — 38,167 subscribers18 August 2026 — 38,220 subscribers19 August 2026 — 38,280 subscribers20 August 2026 — 38,310 subscribers22 August 2026 — 38,346 subscribers23 August 2026 — 38,571 subscribers25 August 2026 — 38,658 subscribers26 August 2026 — 38,743 subscribers27 August 2026 — 38,800 subscribers28 August 2026 — 38,827 subscribers29 August 2026 — 38,851 subscribers30 August 2026 — 38,880 subscribers31 August 2026 — 38,902 subscribers1 September 2026 — 38,935 subscribers2 September 2026 — 38,964 subscribers3 September 2026 — 38,995 subscribers5 September 2026 — 39,046 subscribers8 September 2026 — 39,173 subscribers11 September 2026 — 39,242 subscribers13 September 2026 — 39,278 subscribers14 September 2026 — 39,314 subscribers16 September 2026 — 39,348 subscribers19 September 2026 — 39,393 subscribers7 August 202619 September 2026
32 measurements spanning 43 days, net +1,904. 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 37,203–39,679 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
19 Sept 2026, 03:5739,393+45
16 Sept 2026, 16:0039,348+34
14 Sept 2026, 21:3839,314+36
13 Sept 2026, 09:4139,278+36
11 Sept 2026, 13:3739,242+69
8 Sept 2026, 18:3639,173+127
5 Sept 2026, 10:0039,046+51
3 Sept 2026, 10:1338,995+31
2 Sept 2026, 08:1438,964+29
1 Sept 2026, 11:3438,935+33
31 Aug 2026, 10:0438,902+22
30 Aug 2026, 07:2438,880+29
29 Aug 2026, 08:2738,851+24
28 Aug 2026, 08:1138,827+27
27 Aug 2026, 05:3538,800+57
26 Aug 2026, 03:4638,743+85
25 Aug 2026, 01:4438,658+87
23 Aug 2026, 14:2338,571+225
22 Aug 2026, 00:1738,346+36
20 Aug 2026, 18:1338,310first reading

Engagement

37 posts held, back to 26 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 82 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
52.9%
avg views ÷ 39,393 subscribers
Avg views / post
20,800
11 posts measured
Reaction rate
0.675%
reactions ÷ views · ER floor
Posts in window
11
of 37 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
WindowRolling 30 days · latest post in window 21 September 2026
Posts held37 (26 June 202621 September 2026)
Views total229,090
Reactions total1,547
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Sept 2026, 23:28 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
344
Videos
7
Links
239

Lifetime counters from Telegram’s own channel header, read 21 September 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

5,330 reactions across 33 posts, in 7 distinct kinds. The most used accounts for 86.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4,58286.0%
🙏4528.48%
👍951.78%
🔥771.44%
480.901%
👏460.863%
😍300.563%

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 34 of the 37 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 5,330 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 37 most recent posts we hold, published 26 June 2026 to 21 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

21 Sept 2026, 09:47 UTC≈3,580 views3 reactionsread 21 September 2026
Forwarded from @SarrthiMentorship

Starting Now. Join here https://www.youtube.com/live/hQlGjeMOzOI?si=lLziU_5RS2ldlIAr

3

21 Sept 2026, 07:04 UTC≈5,010 views21 reactionsread 21 September 2026

Youtube live link. Today 3 PM. https://www.youtube.com/watch?v=hQlGjeMOzOI

21

21 Sept 2026, 01:03 UTC≈10,100 views53 reactionsread 21 September 2026

When I was planning this session, I thought let’s change the way it is conducted. Usually , I discuss strategies and principles to follow in such sessions, but this time, I have named it Ethics Experience Session for a reason. I have been stressing upon conceptual clarity for a while now, and this year’s ethics paper further proves that without it , no one can deliver in such an unconventional paper. But it is eas

49🙏3👏1

16 Sept 2026, 11:04 UTC≈14,700 views54 reactionsread 21 September 2026

How one should prepare for an unconventional paper like that of 2026? Well, it’s a long discussion, but for now, let’s just discuss an important pillar with an example. Just war theory is an important topic in International Ethics, but if you look closely, the learnings from these principles can be used in a much wider context. - A skill that requires absolute conceptual clarity. And that’s the reason I have been

53🔥1

8 Sept 2026, 10:36 UTC≈27,700 views166 reactionsread 21 September 2026

Messages like these give teachers courage to experiment and push boundaries when it comes to mentorship. Please allow me to give you a mentor’s perspective. When I was planning Mini Tests for the Ethics Marks Maximisation Program, I thought of including some different types of questions as I thought UPSC may change the form of the questions this year. (Given the context of prelims 2026). And to tell you honestly

1604👍2

8 Sept 2026, 10:36 UTC≈22,700 views26 reactionsread 21 September 2026
Photo

Photo, posted without a caption

26

5 Sept 2026, 07:21 UTC≈29,000 views616 reactionsread 21 September 2026

Happy Teachers Day dear friends!Thank you so much for all the lessons I have learnt through your feedback, critique and reviews. It has helped me tremendously to evolve as a mentor and human being. Grateful for your support and love ❤️

524🙏82😍43👏3

25 Aug 2026, 14:27 UTC≈44,100 views202 reactionsread 21 September 2026

Dear students, this year’s ethics paper again re-emphasises on conceptual clarity and the ability to apply ethical principles in real life scenarios. I have been telling you again and again that Ethics is not about content accumulation alone ( definitions, elaborate examples etc ). As you can see in this paper also, how that approach won’t help you in generating arguments in such papers. In this video , I have anal

183👍10🔥52😍2

23 Aug 2026, 14:22 UTC≈31,500 views301 reactionsread 21 September 2026
Photo

Thank you so much dear students for giving me reasons to strive for excellence. Means a lot to me. My annual dose of motivation-the purest form of testimonials.

276🔥18👏5😍1🙏1

23 Aug 2026, 12:12 UTC≈27,900 views105 reactionsread 21 September 2026
File

File, posted without a caption

7515🙏11🔥3👍1

22 Aug 2026, 12:56 UTC≈57,900 views201 reactionsread 21 September 2026

Quick Tips for Tomorrow`s ethics paper 1. Don't compromise Section A for case studies , both are equally important. If questions are lengthy and multiple statement based, break them into parts and assign weight as per the actual “questions/sub parts asked” 2. UPSC may throw suprises with terms (e.g. moral intuition vs moral reasoning etc)..don't be discouraged by such questions. They are equally tough for everyone.

180🙏15👏4👍2

Showing the 12 most recent of 37 posts we hold for @peeyushupsc. 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.

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.

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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Appears in Telegram’s recommendations for other channels

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This channel appears in 74 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Peeyush Kumar_UPSC” (@peeyushupsc), 39,393 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/peeyushupsc.

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.