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 22 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 why it has no browse page of its own yet.
Growth
4 measurements spanning 19 days, net +330. 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 30–459 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 02:56
409
+92
8 Sept 2026, 18:00
317
+187
30 Aug 2026, 05:49
130
+51
29 Aug 2026, 07:45
79
first reading
Engagement
20 posts held, back to 28 August 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.5%
avg views ÷ 409 subscribers
Avg views / post
75.7
20 posts measured
Reaction rate
0.196%
reactions ÷ views · ER floor
Posts in window
20
of 20 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. It is computed over the 5 of 20 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
20 (28 August 2026 – 28 August 2026)
Views total
1,513
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 07:45 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
40h 04m
Average length
2h 00m
Measured directly from 20 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🥰
1
100.0%
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 5 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 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 28 August 2026 to 28 August 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.
The Machinist | 2004
بعد أن يعاني تريفور ريزنيك من أرق حاد جعله يفقد وزنه وقدرته على التمييز بين الواقع والوهم، يبدأ بالشك في نفسه ومن حوله بعد تورطه في حادث مروّع داخل المصنع، بينما تلاحقه رؤى غامضة وأحداث لا يستطيع تفسيرها، ليجد نفسه عالقًا في دوامة من الذنب والهلوسة تقوده تدريجيًا نحو حقيقة مظلمة يحاول عقله إخفاءها عنه.
The Pianist | 2002
خلال الحرب العالمية الثانية، يجد عازف البيانو البولندي فلاديسلاف شبيلمان نفسه وحيدًا في وارسو بعد أن يُجبر اليهود على مغادرة منازلهم ويُقتل أفراد عائلته أو يُرحّلون، فيختبئ وسط المدينة المدمرة ويكافح للبقاء على قيد الحياة، متنقلًا بين مخابئ سرية وخطر الجنود النازيين، إلى أن يتلقى مساعدة غير متوقعة من ضابط ألماني تساعده على النجاة حتى نهاية الحرب.
Mutiny | 2026
بعد أن يشهد كول ريد مقتل رئيسه الملياردير ويُتهم زورًا بارتكاب الجريمة، يهرب على متن سفينة شحن بحثًا عن الحقيقة، لكنه يجد نفسه محاصرًا بين طاقم من المرتزقة ويكتشف أن جريمة القتل جزء من مؤامرة دولية أكبر، ليضطر إلى مواجهة أعدائه بمفرده وكشف الحقيقة قبل أن يصبح هو الضحية التالية.
Nightcrawler | 2014
يتحول شاب طموح يُدعى لو بلوم إلى مصور مستقل للحوادث والجرائم في شوارع لوس أنجلوس، حيث يكتشف أن أكثر المشاهد دموية وصدمًا يمكن أن تدرّ عليه المال والشهرة، فيبدأ تدريجيًا بتجاوز كل الحدود الأخلاقية والتلاعب بمسرح الجرائم للحصول على لقطات أكثر إثارة، بينما يزداد طموحه وتحوله إلى شخص مستعد لفعل أي شيء من أجل النجاح.
Good Will Hunting | 1997
يعمل شاب عبقري يُدعى ويل هانتنغ كعامل نظافة في إحدى الجامعات، ويخفي موهبته الاستثنائية في الرياضيات خلف حياة مضطربة ومشكلات متكررة مع القانون، لكن بعد أن يكتشف أحد الأساتذة قدراته، يُجبر ويل على مواجهة ماضيه ومخاوفه بمساعدة معالج نفسي، ليبدأ تدريجيًا في إعادة التفكير بمستقبله والعثور على طريقه الحقيقي في الحياة.
Dead Poets Society | 1989
يصل أستاذ أدب جديد إلى مدرسة داخلية صارمة، فيشجع طلابه على النظر إلى الحياة بطريقة مختلفة والتحرر من القيود التي تفرضها عليهم المدرسة وعائلاتهم، لكن أفكاره تصطدم بالتقاليد والضغوط المحيطة بهم، لتبدأ مجموعة من الطلاب في اكتشاف معنى الحرية والطموح واختيار الطريق الذي يريدون أن يسلكوه.
A Fistful of Dollars | 1964
يصل مسلح غامض إلى بلدة صغيرة تعيش تحت سيطرة عائلتين متنافستين، فيقرر استغلال العداء بينهما لمصلحته الخاصة، لكن مع تصاعد الصراع يجد نفسه وسط مواجهة أكثر خطورة مما توقع، حيث المال والنفوذ والخيانة تحدد من سيبقى واقفًا في النهاية.
Hamnet|2025
تدور الأحداث حول علاقة حب تجمع ويليام شكسبير وأغنيس، قبل أن تقودهما ظروف قاسية إلى مواجهة تغيّر حياتهما، في قصة عن الحب والفقدان وتأثير الحزن على الإنسان.
Summer of 84 | 2018
يبدأ مراهق مولع بالتحقيق بالاشتباه في أن أحد جيرانه، وهو شرطي محترم في الحي، قد يكون مرتبطًا بحالات اختفاء أطفال غامضة، فيقرر مع أصدقائه مراقبته وجمع الأدلة، لكن ما يبدأ كلعبة تحقيق صيفية يتحول تدريجيًا إلى مواجهة مرعبة مع سر أخطر مما كانوا يتوقعون.
Ford v Ferrari | 2019
يسعى مهندس السيارات كارول شيلبي والسائق كين مايلز إلى بناء سيارة سباق قادرة على هزيمة فيراري في سباق لومان 24 ساعة، لكن طموحهما يصطدم بصراعات داخل شركة فورد وضغوط الإدارة، لتتحول المنافسة إلى معركة تجمع بين السرعة والطموح والصداقة.
Signed - 𓏺 𝖬𝗋. 𝖶𝗂𝗋𝗍 .
Showing the 12 most recent of 20 posts we hold for @luvvhugs. 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.
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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“نيتفليكس” (@luvvhugs), 409 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/luvvhugs.
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.