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Channel

Pulse IAS

@PulseIAS

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

28,303subscribers

-1,188 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001379746573
TypeChannel
Username@PulseIAS
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live21 October 2026
Measurements held46
Confirmed unchanged1 time, most recently 21 October 2026
On Telegramt.me/PulseIAS

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.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@PulseIAS/1545 · this entry31 Jul 2026, 07:08 UTC@MentorsHut/534731 Jul 2026, 07:08 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@MentorsHut14 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (14–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 29 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @PulseIAS — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

28,30329,83529,0696 August 2026 — 29,491 subscribers6 August 2026 — 29,467 subscribers7 August 2026 — 29,420 subscribers8 August 2026 — 29,531 subscribers9 August 2026 — 29,680 subscribers10 August 2026 — 29,652 subscribers11 August 2026 — 29,738 subscribers12 August 2026 — 29,835 subscribers13 August 2026 — 29,767 subscribers14 August 2026 — 29,707 subscribers16 August 2026 — 29,634 subscribers17 August 2026 — 29,567 subscribers18 August 2026 — 29,535 subscribers19 August 2026 — 29,509 subscribers20 August 2026 — 29,477 subscribers22 August 2026 — 29,450 subscribers23 August 2026 — 29,405 subscribers25 August 2026 — 29,381 subscribers26 August 2026 — 29,354 subscribers26 August 2026 — 29,325 subscribers27 August 2026 — 29,298 subscribers28 August 2026 — 29,285 subscribers30 August 2026 — 29,268 subscribers31 August 2026 — 29,257 subscribers1 September 2026 — 29,224 subscribers2 September 2026 — 29,207 subscribers3 September 2026 — 29,180 subscribers5 September 2026 — 29,168 subscribers8 September 2026 — 29,085 subscribers11 September 2026 — 29,035 subscribers13 September 2026 — 28,977 subscribers14 September 2026 — 28,960 subscribers16 September 2026 — 28,924 subscribers19 September 2026 — 28,895 subscribers26 September 2026 — 28,765 subscribers4 October 2026 — 28,613 subscribers8 October 2026 — 28,514 subscribers13 October 2026 — 28,466 subscribers14 October 2026 — 28,439 subscribers15 October 2026 — 28,420 subscribers16 October 2026 — 28,381 subscribers17 October 2026 — 28,372 subscribers18 October 2026 — 28,361 subscribers19 October 2026 — 28,344 subscribers20 October 2026 — 28,327 subscribers21 October 2026 — 28,303 subscribers6 August 202621 October 2026
46 measurements spanning 76 days, net -1,188. 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 28,073–30,065 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 46
Measured (UTC)SubscribersChange
21 Oct 2026, 21:4628,303-24
20 Oct 2026, 18:4828,327-17
19 Oct 2026, 18:3828,344-17
18 Oct 2026, 20:3828,361-11
17 Oct 2026, 22:3528,372-9
16 Oct 2026, 21:0928,381-39
15 Oct 2026, 17:4428,420-19
14 Oct 2026, 15:3728,439-27
13 Oct 2026, 03:4128,466-48
8 Oct 2026, 22:1928,514-99
4 Oct 2026, 11:1428,613-152
26 Sept 2026, 00:3628,765-130
19 Sept 2026, 06:3628,895-29
16 Sept 2026, 18:4128,924-36
14 Sept 2026, 23:3828,960-17
13 Sept 2026, 09:5528,977-58
11 Sept 2026, 10:4129,035-50
8 Sept 2026, 15:1629,085-83
5 Sept 2026, 05:5729,168-12
3 Sept 2026, 08:1329,180first reading

Engagement

122 posts held, back to 29 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 127 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.00%
avg views ÷ 28,303 subscribers
Avg views / post
1,700
34 posts measured
Reaction rate
0.189%
reactions ÷ views · ER floor
Posts in window
35
of 122 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 27 of 34 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 20 October 2026
Posts held122 (29 July 2026 – 20 October 2026)
Views total57,719
Reactions total88
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Oct 2026, 18:01 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
35s
Average length
35s

Measured directly from 1 video 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

245 reactions across 75 posts, in 6 distinct kinds. The most used accounts for 71.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤17471.0%
🙏3313.5%
👍166.53%
🔥156.12%
👏62.45%
🥰10.408%

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 85 of the 122 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 245 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 122 most recent posts we hold, published 29 July 2026 to 20 October 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

20 Oct 2026, 13:21 UTC453 views4 reactionsread 21 October 2026
Video

A Very Happy Dusshera to all ☺️☺️ Ab Badlega, PYQs Padhne ka tarika 🔥🔥 PYQ Book Cover Reveal on 23 Oct at 7:23 PM

👏3🔥1

19 Oct 2026, 13:00 UTC976 viewsread 21 October 2026
Photo

PYQs Padhne ka Naya Tarika 🔥 Kuch bada aa raha hai. 👀 For the last few weeks, one project has kept our entire team busy - and we’re confident it’s going to change how aspirants approach UPSC PYQs completely. Not just another PYQ book. The ULTIMATE PYQ Book. 🏆 The cover reveal drops 23 October, 7:23 PM. ⏳

15 Oct 2026, 13:32 UTC≈1,320 views3 reactionsread 21 October 2026

Hello Pulsians, 🙏 It took me a while to upload the complete Workbook of Indian Polity and let me be honest - I wasn’t fully prepared for submitting the Complete Polity Workbook. I hadn’t imagined that mapping each PYQ to its micro-theme would take so much time. It’s finally done ✅. The complete DARE Notebook of Indian Polity - with more than 90% of PYQs since 2013 mapped to each micro-theme - has been uploaded to …

❤3

12 Oct 2026, 12:56 UTC≈1,560 views0 reactionsread 21 October 2026

Look at How Micro-theme is Mapped to the PYQs so that you actually know where is your Answer in the Notes !! DARE Notebook of GS Paper-2 will be releasing in this Week !! DARE to create your 1-Pager Mains Notes under NMP - and you won't just CONQUER Mains, you'll CHECKMATE it !!

12 Oct 2026, 11:01 UTC≈1,830 views3 reactionsread 21 October 2026

After Becoming the #1 Content Resource Provider for UPSC whether it be Prelims or Mains, we are planning now for State PCS Content. Planning to start from Andhra Pradesh PSC Prelims? Will you guys be interested? Give your suggestions also @MHEnquiry in case you need any specific thing with respect to APPSC.

🔥3

12 Oct 2026, 07:27 UTC≈1,560 viewsread 21 October 2026
File

Indian Polity [Target-1] DARE Sheets with Micro-theme MAPPED with the PYQs 🔥🔥 DARE to create your 1-Pager Mains Notes - and you won't just CONQUER Mains, you'll CHECKMATE it !! NMP Starts Today : https://www.pulseias.com/learn/categories/note-making-programme-nmp?categoryCustomName=note-making-programme-nmp&type=100&show=all For any Enquiry, Call/WhatsApp: 9821373633

11 Oct 2026, 06:15 UTC≈2,010 views1 reactionsread 21 October 2026
Photo

Note-Making Programme [NMP] First of its Kind for UPSC Mains (Daily Targets -> Daily 1-Pager Notes -> Daily Evaluation) Check out the NMP Schedule: https://t.me/PulseIAS/1703 Student-Filled DARE Sheets and Evaluation: https://t.me/PulseIAS/1694 Starts from 12 Oct. https://www.pulseias.com/learn/categories/note-making-programme-nmp?categoryCustomName=note-making-programme-nmp&type=100&show=all For any Enquiry, Cal…

❤1

9 Oct 2026, 05:56 UTC≈2,530 views10 reactionsread 21 October 2026
Photo

HCS Rank 11 🎉🎉 Congratulations Vinita ☺️☺️

❤8👏2

8 Oct 2026, 13:33 UTC≈2,070 views2 reactionsread 21 October 2026

PYQ Books will be launched now on 19 Oct. We know all of you are waiting for this but this will be the Ultimate PYQ Resource one has ever witnessed !! Shayad 19 ko GS ke saath CSAT PYQs bhi aa jaayein 🙈🙈 Stay Tuned @pulseias

❤2

8 Oct 2026, 11:30 UTC≈2,310 views1 reactionsread 21 October 2026
Photo

Note-Making Programme [NMP] First of its Kind for UPSC Mains (Daily Targets -> Daily 1-Pager Notes -> Daily Evaluation) Check out the NMP Schedule: https://t.me/PulseIAS/1703 Student-Filled DARE Sheets and Evaluation: https://t.me/PulseIAS/1694 Starts from 12 Oct. https://www.pulseias.com/learn/categories/note-making-programme-nmp?categoryCustomName=note-making-programme-nmp&type=100&show=all For any Enquiry, Cal…

❤1

7 Oct 2026, 07:00 UTC≈2,320 views1 reactionsread 21 October 2026
File

NMP [Paper-wise] starting from 12 Oct. Download NMP Macro-Schedule 👆👆 Complete Coverage of GS Paper-2 and GS Paper-3 !! Enrol Now: https://www.pulseias.com/learn/categories/note-making-programme-nmp?categoryCustomName=note-making-programme-nmp&type=100&show=all For any Enquiry, Call/WhatsApp: 9821373633

❤1

Showing the 12 most recent of 122 posts we hold for @PulseIAS. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

18 Sept 2026, 10:10 UTCAnonymous Poll284 voters

How many years of UPSC Prelims PYQs is generally practiced by you?

  1. 14 Years [2013-2026]58%
  2. 32 Years [1995-2026]42%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 122 most recent posts we hold, published 29 July 2026 to 20 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 2 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 21 October 2026 — this entry's latest reading, not the date you are reading this.

“Pulse IAS” (@PulseIAS), 28,303 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/PulseIAS.

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.