Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 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 the other topics.
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 in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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 (5 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 132 comparable posts for this entry, running 30 July 2026 to 9 November 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).
Of the group of 2 channels, the one whose matching posts we hold earliest is @OfficersIAS — 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 11 November 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.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
63 measurements spanning 95 days, net -521. 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 14,919–15,596 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
9 Nov 2026, 01:49
14,997
-6
7 Nov 2026, 18:57
15,003
-7
6 Nov 2026, 14:05
15,010
-1
5 Nov 2026, 17:36
15,011
-9
4 Nov 2026, 18:50
15,020
-8
3 Nov 2026, 20:07
15,028
-2
2 Nov 2026, 21:55
15,030
-3
1 Nov 2026, 21:15
15,033
-4
31 Oct 2026, 18:20
15,037
-6
30 Oct 2026, 21:39
15,043
-1
30 Oct 2026, 01:06
15,044
-10
29 Oct 2026, 03:51
15,054
-6
28 Oct 2026, 00:40
15,060
-4
27 Oct 2026, 02:00
15,064
-9
26 Oct 2026, 00:30
15,073
-6
25 Oct 2026, 02:46
15,079
-6
24 Oct 2026, 00:06
15,085
-11
22 Oct 2026, 21:06
15,096
-6
21 Oct 2026, 17:16
15,102
-4
20 Oct 2026, 11:07
15,106
first reading
Engagement
190 posts held, back to 30 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 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.27%
avg views ÷ 14,997 subscribers
Avg views / post
190
87 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
87
of 190 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
Window
Rolling 30 days · latest post in window 9 November 2026
Posts held
190 (30 July 2026 – 9 November 2026)
Views total
16,521
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 07:03 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
≈3,080
Videos
≈58
Links
≈2,450
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 57s
Average length
1m 57s
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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 87 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
DRDO successfully flight-tested the indigenous Pralay quasi-ballistic missile on November 2026 from Dr APJ Abdul Kalam Island, off the Odisha coast. The test was part of user evaluation trials.
Important for UPSC: Science & Technology → Defence Technology → Missile Systems → Quasi-Ballistic Missiles → DRDO → Indigenous Defence Production
Answer: (D)
Statement 1 is Incorrect: A tokamak is designed to achieve controlled nuclear fusion (combining light atomic nuclei), not nuclear fission (splitting heavy atoms like uranium).
Statement 2 is Correct: It uses a complex system of powerful magnetic fields (shaped in a torus or doughnut) to confine and control extremely hot plasma so it never touches or melts the container walls.
Statement 3 is Correct. Th…
Consider the following statements regarding a Tokamak:
1. It is a device designed to achieve controlled nuclear fission.
2. It uses magnetic fields to confine extremely hot plasma.
3. The first tokamak, T-1 began operation in Russia in 1958.
4. Tokamaks primarily use isotopes of helium as their main nuclear fusion fuel
Answer: (B)
Exercise RAHAT MITRA is the maiden bilateral Tri-Services Humanitarian Assistance and Disaster Relief (HADR) exercise conducted between the Defence Forces of India and Myanmar.
Objective: Focuses on enhancing interoperability, sharing operational experiences, and fostering joint preparedness for natural disasters and humanitarian crises in the region.
Lead Coordinator: Coordinated under the aegis of th…
Answer: (D)
Statement 1 is correct: VGF is a targeted financial grant disbursed during the construction phase to bridge the revenue shortfall of socio-economically vital infrastructure projects, enabling private sector participation under the Public-Private Partnership (PPP) model.
Statement 2 is correct: Under the Ministry of Finance guidelines, the Central Government provides up to 20% of the total project cost, …
Consider the following statements regarding Viability Gap Funding (VGF) in India:
1. It acts as a one-time capital grant to bridge the financial deficit of economically essential infrastructure projects.
2. Central scheme guidelines permit total government grant support up to 40% of the project cost.
3. VGF support has been extended to grid-scale battery energy storage systems.
Answer: (C)
A global benchmarking framework that measures the multidimensional innovation capabilities and performance of economies by assessing innovation inputs and outputs.
It also identifies and maps the world's top 100 Science and Technology (S&T) clusters, helping policymakers evaluate innovation strengths, weaknesses and gaps.
First Published: 2007 (19th annual edition in 2026).
Released by: The World Inte…
Answer: (B)
The UNESCO World Heritage program focuses on physical sites, monuments, and natural locations, whereas the Memory of the World (MoW) Programme was created in 1992 specifically to safeguard, preserve, and provide access to global documentary heritage (such as manuscripts, books, audio-visual materials, and archival documents) stored in libraries, archives, and museums. Hence, statement 1 is correct.
The …
Showing the 12 most recent of 190 posts we hold for @OfficersIAS. 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.
Both Assertion (A) & Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A)58%
Both Assertion (A) & Reason (R) are true, but Reason (R) is not correct explanation of Assertion.23%
Assertion (A) is true, but Reason (R) is false.15%
Assertion (A) is false, but Reason (R) is true.8%
The shares total 104%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 190 most recent posts we hold, published 30 July 2026 to 9 November 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.
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.
VK IAS- prelims (UPSC highlights) @upschighlights · 54,424 Telegram ranks this channel #26 of 87 here — alongside 86 others — read 23 August 2026
UPSC Ethics by VK IAS @Upsc_ethics_notes · 44,069 Telegram ranks this channel #30 of 68 here — alongside 67 others — read 28 August 2026
Balalatha's CSB IAS ACADEMY @Balalathascsbiasacademy · 45,619 Telegram ranks this channel #34 of 80 here — alongside 79 others — read 27 August 2026
UPSC Topper Notes NCERT @UPSC_Topper_Notes_NCERT · 145,777 Telegram ranks this channel #58 of 89 here — alongside 88 others — read 12 August 2026
UPSC IR ( MINDMAPS) @UPSC_irmindmaps_di_mains_prelims · 45,415 Telegram ranks this channel #60 of 89 here — alongside 88 others — read 27 August 2026
Geography Mapping @upsc_geography_mapping_optionals · 145,848 Telegram ranks this channel #78 of 94 here — alongside 93 others — read 12 August 2026
This channel appears in 6 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Officers IAS Academy - Study Group” (@OfficersIAS), 14,997 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/OfficersIAS.
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.