8 measurements spanning 19 days, net -2. 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 2,035–2,050 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
27 Aug 2026, 20:43
2,044
+7
24 Aug 2026, 22:47
2,037
-3
21 Aug 2026, 07:57
2,040
+3
18 Aug 2026, 09:12
2,037
-7
15 Aug 2026, 01:24
2,044
-4
11 Aug 2026, 10:05
2,048
+2
8 Aug 2026, 11:15
2,046
no change
8 Aug 2026, 11:05
2,046
first reading
Engagement
7 posts held, back to 28 August 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 26 October 2024. An engagement rate over an empty window would be a number about nothing.
Reaction mix
287 reactions across 6 posts, in 11 distinct kinds. The most used accounts for 38.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
110
38.3%
😁
65
22.6%
👍
40
13.9%
❤🔥
22
7.67%
😱
13
4.53%
🔥
11
3.83%
🍾
8
2.79%
🆒
7
2.44%
🏆
4
1.39%
🥰
4
1.39%
😈
3
1.05%
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 6 of the 7 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 287reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 28 August 2024 to 26 October 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
CN-e-Groups : -
~ Cinematic News Cult Had a Massive Total of Over 1.3 Million or 13 Lakh Messages (1335094 Exactly)
~ Cinematic Cult Had a Total Of Over 442.4k Messages (442429 Exactly)
Most Views In a Single Day (CN)
28th July , 2024: 403.17k (5.0)
29th June , 2024 : 369.29k (5.0)
24th Nov , 2024 : 305.08k (5.0)
19th Nov , 2023 : 291.8k (3.0)
23rd March , 2024 : 267.96k (4.0)
First 100k Breached : 3rd May , 2022 (111.37k) (OG)
Cinematic Movies -
1 Sub - 12 February , 2025
Cinematic Movies Banned At 926 Movies On 6th March , 2025
Cinematic Movies Group Banned At 231 Members On 6th March , 2025
Cinematic Movie Pvt 2.0 Banned At 268 Subs On 24th March , 2025
Cinematic Movies 2.0* 1000 Subs - Took 41 Days ( 27th March , 2025 ) (CMP 1.0)
Cinematic Movie Pvt 3.0 Banned At 271 Subs On 6th April , 2025
Cinematic Movies 2.0 Banned At 1191 Subs On…
CN All-Time Stats
1 Sub - 22 November , 2021
1 Member - 13 February , 2022
1000 Subs - Took 141 Days ( 11 April , 2022 )
2000 Subs - Took 59 Days ( June 9 , 2022 )
3000 Subs - Took 57 Days ( August 5 , 2022 )
4000 Subs - Took 56 Days ( October 23 , 2022 ) Excluding Hault Of 23 Days From Aug 15 to Sept 6
5000 Subs - Took 48 Days ( December 5 , 2022 )
6000 Subs - Took 33 Days ( January 7 , 2023 )
Cinematic New…
Showing the 7 most recent of 7 posts we hold for @Cinematic_Verse. 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.
Citation-graph rank
Citation-graph rank — 304,469 of 1,626,935entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
5
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
5
vacant every time we have ever looked
@Cinematic_Verse named 5 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@cinematic_cult_616 named in 1 post, 9 August 2026 – 9 August 2026
@cinematic_news199999 named in 1 post, 9 August 2026 – 9 August 2026
@cinematic_news_discussion named in 1 post, 9 August 2026 – 9 August 2026
@cinematicnews1 named in 1 post, 9 August 2026 – 9 August 2026
@cinematicnewsz named in 1 post, 9 August 2026 – 9 August 2026
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 27 August 2026 — this
entry's latest reading, not the date you are reading this.
“Cinematic Verse” (@Cinematic_Verse), 2,044 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/Cinematic_Verse.
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.
