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 9 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 4 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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 (6 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. 18 of the 22 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 52 comparable posts for this entry, running 29 July 2026 to 17 October 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 3 channels, the one whose matching posts we hold earliest is @Science_and_tech_upsc — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual, 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 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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 96 days, net -1,497. 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 40,477–42,424 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
10 Nov 2026, 14:17
40,702
-30
8 Nov 2026, 23:18
40,732
-26
7 Nov 2026, 12:40
40,758
-28
6 Nov 2026, 14:07
40,786
-22
5 Nov 2026, 13:37
40,808
-21
4 Nov 2026, 09:57
40,829
-15
3 Nov 2026, 09:46
40,844
-6
2 Nov 2026, 06:09
40,850
-6
1 Nov 2026, 06:26
40,856
-15
31 Oct 2026, 06:34
40,871
-22
30 Oct 2026, 09:45
40,893
-30
29 Oct 2026, 08:16
40,923
-13
28 Oct 2026, 07:37
40,936
-7
27 Oct 2026, 04:10
40,943
-13
26 Oct 2026, 07:20
40,956
-16
25 Oct 2026, 06:16
40,972
-7
24 Oct 2026, 08:04
40,979
-21
23 Oct 2026, 06:19
41,000
-22
22 Oct 2026, 06:57
41,022
-17
21 Oct 2026, 00:39
41,039
first reading
Engagement
108 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 140 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.33%
avg views ÷ 40,702 subscribers
Avg views / post
542
6 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
6
of 108 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 17 October 2026
Posts held
108 (29 July 2026 – 17 October 2026)
Views total
3,249
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
19 Oct 2026, 07:02 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
5m 04s
Average length
38s
Measured directly from 8 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
Telegram’s own ‘edited’ marker: 0 of 6 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).
Indian scientists identify a few Martian analogue sites
◉ Two key minerals identified in areas of Tamil Nadu and the Atacama Desert in Chile, which reflect geological, chemical, and physical similarities with Mars, have helped establish these as Martian analogue sites.
◉ In the era of intense planetary exploration, identifying terrestrial analogue sites has become a pressing requirement, as recent studies demonstra…
Remembering the Missile Man of India
Dr. A.P.J. Abdul Kalam on his birth anniversary.
A soul who taught us to dream beyond limits and serve with purpose. 🙏🇮🇳
I am Vishal Salsekar, faculty of History and International Relations. I have started free Modern Indian History Classes on my channel and 6 classes are already live on the channel. Rest will be uploaded with 2 classes per week. Complete Modern History will be covered in around 6 weeks.
These videos can also help the students to understand History of Modern India for UPSC, state PCS and other exams. It will help you …
The Royal Swedish Academy of Sciences has decided to award the 2026 Nobel Prize in Chemistry to Henri B. Kagan and Kenso Soai “for the discovery of non-linear effects and autocatalysis in asymmetric organic synthesis.”
Showing the 12 most recent of 108 posts we hold for @Science_and_tech_upsc. 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.
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.
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.
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.
Read from Telegram’s recommendation API, most recently 29 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
UPSC Art and Culture @upsc_art_and_culture_notes · 41,955 Telegram ranks this channel #1 of 85 here — alongside 84 others — read 28 August 2026
UPSC HISTORY NOTES @upsc_modern_history_notes · 18,975 Telegram ranks this channel #2 of 79 here — alongside 78 others — read 2 October 2026
UPSC Environment Ecology Prelims National Parks @UPSC_Environment_Ecology_Prelims · 35,435 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 1 September 2026
Government Schemes @upsc_government_schemes_4_exams · 35,549 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 1 September 2026
UPSC GEOGRAPHY MINDMAPS NOTES @upsc_geography_mindmaps_notes · 36,312 Telegram ranks this channel #3 of 75 here — alongside 74 others — read 31 August 2026
Free UPSC Materials @upscfreematerialsufm · 22,436 Telegram ranks this channel #6 of 71 here — alongside 70 others — read 19 September 2026
UPSC POLITY MINDMAPS @upsc_polity_mind_maps · 23,999 Telegram ranks this channel #7 of 67 here — alongside 66 others — read 15 September 2026
UPSC PRELIMS MCQs @upsc_prelims_mcqs · 35,516 Telegram ranks this channel #10 of 85 here — alongside 84 others — read 1 September 2026
Upsc Science and technology @upsc_science_and_technology · 32,885 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 4 September 2026
UPSC Economy @Upsc_4_economy · 48,590 Telegram ranks this channel #12 of 87 here — alongside 86 others — read 25 August 2026
UPSC Environment Ecology Agriculture Notes @UPSC_Environment_Ecology_Notes · 35,748 Telegram ranks this channel #13 of 85 here — alongside 84 others — read 1 September 2026
UPSC current magazine @currentmagazines · 44,584 Telegram ranks this channel #14 of 87 here — alongside 86 others — read 27 August 2026
IASbaba (Official) Telegram Channel @IASbabaOfficialAccount · 74,848 Telegram ranks this channel #16 of 90 here — alongside 89 others — read 19 August 2026
UPSC history MCQs @upsc_prelims_history_mcq · 45,886 Telegram ranks this channel #17 of 89 here — alongside 88 others — read 26 August 2026
UPSC MAINS MODEL ANSWER @upsc_mains_model_answer · 88,504 Telegram ranks this channel #17 of 90 here — alongside 89 others — read 17 August 2026
Art and Culture Notes @art_and_culture_notes_upsc · 35,670 Telegram ranks this channel #18 of 64 here — alongside 63 others — read 1 September 2026
UPSC society mains @upsc_society_gs · 31,341 Telegram ranks this channel #19 of 87 here — alongside 86 others — read 5 September 2026
UPSC MAPPING - 2027 @places_in_news_upsc · 40,164 Telegram ranks this channel #19 of 77 here — alongside 76 others — read 29 August 2026
Government Schemes UPSC @upsc_government_scheme · 42,852 Telegram ranks this channel #20 of 83 here — alongside 82 others — read 29 August 2026
IAS CLOUD @ias_cloud · 18,510 Telegram ranks this channel #21 of 76 here — alongside 75 others — read 5 October 2026
theIAShub - MK Yadav @theiashub · 40,690 Telegram ranks this channel #21 of 81 here — alongside 80 others — read 31 August 2026
UPSC History @Upsc_4_history · 48,860 Telegram ranks this channel #21 of 92 here — alongside 91 others — read 25 August 2026
Upsc science and technology Mcqs @upsc_sci_tech_mcq · 39,557 Telegram ranks this channel #22 of 88 here — alongside 87 others — read 29 August 2026
This channel appears in 52 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“UPSC Science and Technology” (@Science_and_tech_upsc), 40,702 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Science_and_tech_upsc.
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.
