Film & TV — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Growth
7 measurements spanning 24 days, net -18. 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 9,702–9,728 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 00:57
9,705
-4
11 Sept 2026, 14:36
9,709
-2
7 Sept 2026, 09:15
9,711
-13
2 Sept 2026, 05:25
9,724
-1
29 Aug 2026, 20:13
9,725
+2
25 Aug 2026, 23:30
9,723
no change
25 Aug 2026, 23:15
9,723
first reading
Engagement
20 posts held, back to 30 June 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 6 pages of 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 20 posts for this entry, the most recent from 28 June 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
1,244 reactions across 20 posts, in 14 distinct kinds. The most used accounts for 63.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
791
63.6%
🔥
118
9.49%
🥰
97
7.80%
❤
74
5.95%
👌
46
3.70%
❤🔥
26
2.09%
🎉
18
1.45%
🤩
16
1.29%
💯
15
1.21%
👏
14
1.13%
👎
13
1.05%
😁
8
0.643%
😢
4
0.322%
🤔
4
0.322%
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 20 of the 20 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 1,244 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 30 June 2024 to 28 June 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Squid Game Season - 01 : https://t.me/webzx_zeries/121
Squid Game Season - 02 : https://t.me/webzx_zeries/132
Squid Game S03 | EP - (01 to 06) HDRip
#Tamil , #Multi_audios
Join Here : 👇
https://t.me/webzx_zeries/206
https://t.me/webzx_zeries/206
Love & Romance Movies
Will you be there 2016
Be with you 2018
Architecture 101 (2012)
Enemies in law 2015
Twenty 2015
Life is beautiful 2022
My chilling roommate 2022
Steal my heart 2018
Love on air 2012
Time of memory 2021
Falling for Christmas 2022
Purple hearts 2022
Persuasion 2022
The noel diary 2022
Lady chatterleys lover 2022
The sunlight night 2019
Broken hearts gallery 2020
Life in a year 2020
Seven pounds 2…
Action Single Movies
Ninja assassin 2009
The man from nowhere 2010
Headshot 2016
Killing season 2013
Collateral damage 2002
Survivor 2015
Mile 2022
Final score 2017/8
White house down 2013
Faster 2010
Gone in 60 seconds 2000
The next three days 2010
The fugitive 1993
Kungfu hustle 2004
Central intelligence 2016
Kick ass 2 (2013)
The Rundown 2003
Guns akimbo 2019
The Green hornet 2011
R.i.p.d 2013
22 minutes 2014
The…
• Best Action Movies Feb ,9th
- https://t.me/+QHdWw9iuh7k4MWE9
• Best Love & Romantic Movies Feb,14th - https://t.me/+umkno_ahfWdhYTk1
• Best Animation Movies March ,23rd
- https://t.me/+huHlcfrtDmNlOWQ9
• Best Adventure Movies April ,14th
- https://t.me/+UmvNCPeKE7ZhMzRl
• Best Christmas Movies Dec ,25th
- https://t.me/+X2MZp5m8hMdiNWU1
Showing the 12 most recent of 20 posts we hold for @TamilDubb_Collection. 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
Named by 3 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.
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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Tamil Dubbed Collection All” (@TamilDubb_Collection), 9,705 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/TamilDubb_Collection.
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.