Politics & activism — 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 81% 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.
Growth
57 measurements spanning 94 days, net -305. 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 21,703–22,104 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
9 Nov 2026, 11:40
21,749
-12
8 Nov 2026, 02:56
21,761
-7
7 Nov 2026, 00:26
21,768
-6
5 Nov 2026, 21:51
21,774
-10
4 Nov 2026, 23:45
21,784
+4
2 Nov 2026, 19:26
21,780
-1
1 Nov 2026, 19:59
21,781
-9
31 Oct 2026, 19:58
21,790
-14
30 Oct 2026, 17:05
21,804
-9
29 Oct 2026, 15:00
21,813
-2
28 Oct 2026, 16:20
21,815
-10
27 Oct 2026, 14:40
21,825
-4
26 Oct 2026, 13:48
21,829
+1
24 Oct 2026, 19:25
21,828
-4
23 Oct 2026, 20:09
21,832
-5
22 Oct 2026, 21:58
21,837
+2
21 Oct 2026, 22:18
21,835
-10
20 Oct 2026, 16:46
21,845
+4
19 Oct 2026, 15:15
21,841
+1
18 Oct 2026, 17:46
21,840
first reading
Engagement
35 posts held, back to 8 April 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 83 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.3%
avg views ÷ 21,749 subscribers
Avg views / post
2,240
2 posts measured
Reaction rate
0.424%
reactions ÷ views · ER floor
Posts in window
2
of 35 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 22 October 2026
Posts held
35 (8 April 2026 – 22 October 2026)
Views total
4,480
Reactions total
19
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 15:02 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
Photos
20
Videos
1
Links
20
Lifetime counters from Telegram’s own channel header, read 9 November 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.
Video runtime
23s
Average length
23s
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
301 reactions across 31 posts, in 11 distinct kinds. The most used accounts for 84.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
253
84.1%
👍
13
4.32%
🤗
9
2.99%
💯
8
2.66%
🔥
7
2.33%
👨💻
4
1.33%
🗿
2
0.664%
🥰
2
0.664%
👏
1
0.332%
🙉
1
0.332%
🙏
1
0.332%
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 33 of the 35 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 301 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 8 April 2026 to 22 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
Telegram’s own ‘edited’ marker: 0 of 2 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).
RELIGIOUS CONVERSION & RESERVATION IN INDIA
🔹 Context
The Supreme Court, in The Secretary to Government v. Sameer Ahamed N., upheld the Madras High Court’s decision invalidating Tamil Nadu’s Government Order dated March 9, 2024, concerning reservation certificates for converts to Islam.
🔹 1. How Does Conversion Affect Reservation?
▪️ Scheduled Castes (SCs) – Article 341
• Under the Constitution (Scheduled Castes) …
Internet Access as a Fundamental Right for Children
Context
The Supreme Court of India recognised internet access as a fundamental right of every individual, explicitly extending this protection to children irrespective of age.
What Is the Ruling About?
Article 19(1)(a): Protects freedom of speech and expression, including the right to receive information.
Article 21: Protects life and personal liberty, including…
SC judgments on Socialism
1. D.S. Nakara v. Union of India (1983) - Defi ned Indian Socialism as providing "a decent standard of life" and "security from cradle to grave."
2. AK Gopalan v. State of Madras (1950) - Initially restricted individual liberty in favor of state-led social goals before the "Due Process" era.
3. Olga Tellis v. Bombay Municipal Corporation (1985): Recognized livelihood as part of the right to …
Scholars for PREAMBLE
1. In Sajjan Singh vs. State of Rajasthan, Justice Madholkar said that the Preamble had the stamp of "deep deliberation" and "an epitome" of the broad features of the Constitution.
2. Sir Ernest Barker's Tribute: called the Preamble the "keynote" of the Constitution and quoted it in his book Principles of Social and Political Theory (1951).
3. N.A. Palkhivala - the "horoscope of the Constitution…
Supreme Court Judgments on Children
1. Bandhua Mukti Morcha v. Union of India (1984)
→ Protection from exploitation
→ Strengthened the protection of children from bonded labour through Articles 21 and 24.
→ Linked the right to live with dignity with freedom from exploitative labour.
2. M.C. Mehta v. State of Tamil Nadu (1996)
→ Child labour + Rehabilitation
→ Directed measures against employment of children in haza…
Supreme Court: Jaskaran Jeet Singh Deol v. State of Punjab (2026)
Context:
The Supreme Court reaffirmed personal liberty under Article 22 by placing strict limits on arbitrary arrest and subsequent re-arrest. The judgment arose from an arrest where the accused was not furnished written grounds of arrest and was produced before the Magistrate beyond the constitutional 24-hour requirement.
Key Principles
1. Written …
Judicial Elaboration on Constitutional Morality
1. Kesavananda Bharati v. State of Kerala (1973)
→ Basic Structure Doctrine: Constitutional principles cannot be destroyed even by a parliamentary majority.
→ Establishes that constitutionalism places limits on majoritarian power.
2. Naz Foundation v. Govt. of NCT Delhi (2009)
→ Constitutional morality > public morality.
→ Delhi HC held that constitutional rights cannot…
𝗗𝗶𝘀𝘁𝗶𝗻𝗴𝘂𝗶𝘀𝗵𝗲𝗱 𝗝𝘂𝗿𝗶𝘀𝘁 𝗣𝗿𝗼𝘃𝗶𝘀𝗶𝗼𝗻 Subject: Polity
- 𝘊𝘰𝘯𝘵𝘦𝘹𝘵: Supreme Court Judge Justice Ujjal Bhuyan highlighted Article 124(3)(c) as an unused constitutional mandate for over 76 years.
- 𝗖𝗼𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻𝗮𝗹 𝗕𝗮𝘀𝗶𝘀: 𝗔𝗿𝘁𝗶𝗰𝗹𝗲 𝟭𝟮𝟰(𝟯)(𝗰) permits direct appointment of a distinguished jurist as a Supreme Court judge | Based on opinion of 𝗣𝗿𝗲𝘀𝗶𝗱𝗲𝗻𝘁 + filt…
❤11
Showing the 12 most recent of 35 posts we hold for @upsc_judiciary_judegment. 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
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.
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.
The man search for meaning @Themansearchformeans · 1,000 (as read 22 September 2026)#78
Read from Telegram’s recommendation API, most recently 22 September 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.
Free UPSC Materials @upscfreematerialsufm · 22,444 Telegram ranks this channel #70 of 71 here — alongside 70 others — read 19 September 2026
Vajiram and Ravi Official Channel @vajiramandraviofficial · 281,303 Telegram ranks this channel #75 of 77 here — alongside 76 others — read 10 August 2026
MENTORA IAS™ @MENTORAIAS · 74,733 Telegram ranks this channel #80 of 85 here — alongside 84 others — read 19 August 2026
StudY LoveR VeeR (SLV) Official✅ @StudYLoveRVeeR · 115,619 Telegram ranks this channel #80 of 82 here — alongside 81 others — read 14 August 2026
IASbaba (Official) Telegram Channel @IASbabaOfficialAccount · 74,870 Telegram ranks this channel #81 of 90 here — alongside 89 others — read 19 August 2026
This channel appears in 5 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.
“Supreme court+ High court judgement” (@upsc_judiciary_judegment), 21,749 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/upsc_judiciary_judegment.
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.