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 9 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
34 measurements spanning 51 days, net +16,307. 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 69,249–90,448 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
27 Sept 2026, 20:55
88,002
+3,656
17 Sept 2026, 15:36
84,346
+492
15 Sept 2026, 14:21
83,854
+366
13 Sept 2026, 22:38
83,488
+563
12 Sept 2026, 07:40
82,925
+860
9 Sept 2026, 23:39
82,065
+721
6 Sept 2026, 16:21
81,344
+691
4 Sept 2026, 04:39
80,653
+430
2 Sept 2026, 15:07
80,223
+218
1 Sept 2026, 11:26
80,005
+222
31 Aug 2026, 11:28
79,783
+221
30 Aug 2026, 08:28
79,562
+254
29 Aug 2026, 09:03
79,308
+380
28 Aug 2026, 11:48
78,928
+290
27 Aug 2026, 15:04
78,638
+237
26 Aug 2026, 17:04
78,401
+508
25 Aug 2026, 18:23
77,893
+392
24 Aug 2026, 18:24
77,501
+551
23 Aug 2026, 06:25
76,950
+605
21 Aug 2026, 18:18
76,345
first reading
Engagement
107 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 112 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.6%
avg views ÷ 88,002 subscribers
Avg views / post
19,000
39 posts measured
Reaction rate
0.142%
reactions ÷ views · ER floor
Posts in window
39
of 107 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 24 September 2026
Posts held
107 (29 July 2026 – 24 September 2026)
Views total
740,000
Reactions total
1,051
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Oct 2026, 12:53 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
752
Videos
1
Links
689
Lifetime counters from Telegram’s own channel header, read 1 October 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.
Reaction mix
2,478 reactions across 107 posts, in 21 distinct kinds. The most used accounts for 88.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,197
88.7%
🤩
73
2.95%
🔥
46
1.86%
🍓
45
1.82%
👍
23
0.928%
🥴
21
0.847%
🤯
20
0.807%
⚡
12
0.484%
🐳
6
0.242%
👏
5
0.202%
😍
5
0.202%
💯
4
0.161%
😁
4
0.161%
💋
3
0.121%
💔
3
0.121%
😢
3
0.121%
😘
2
0.081%
😨
2
0.081%
🤣
2
0.081%
😈
1
0.04%
1 further kind
1
0.04%
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 107 of the 107 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 2,478 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 107 most recent posts we hold, published 29 July 2026 to 24 September 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 107 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @TYRONL. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 107 most recent posts we hold for this entry, published 29 July 2026 to 24 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
الفيلم : The Love Hypothesis
التقيم : 7.3
النوع : كوميديا | رومانسي
سنة الأصدار 2026
القصة
حول أوليف سميث، طالبة الدكتوراه في علم الأحياء بجامعة ستانفورد، والدكتور آدم كارلسن، الأستاذ الجامعي الصارم والمعروف بشخصيته البغيضة.
أضغط هنا لمشاهدة الفيلم
المسلسل : Last seen
التقيم : 7.4 ⭐
النوع : إثارة ، جريمة ، غموض
سنة الأصدار 2026 - مستمر
القصه :
حول محقق شرطة سابق يُدعى إيان ريدلي (باتريك برامال)، تنقلب حياته رأسًا على عقب بعد اختفاء ابنته الصغيرة "ماغي" دون أثر قبل 11 عامًا.
أضغط هنا لمشاهدة المسلسل
الفيلم : I Believe In Unicorns
التقيم : 6.1
النوع : دراما
سنة الأصدار 2014
القصة
حول دافينيا (ناتاليا داير)، وهي فتاة مراهقة غريبة الأطوار ومليئة بالخيال، تعيش حياة صعبة وتقوم برعاية والدتها المريضة. تلجأ دافينيا دائمًا إلى عالمها الخيالي المليء بأحادية القرن (اليونيكورن) للهروب من واقعها القاسي.
أضغط هنا لمشاهدة الفيلم
المسلسل : American Hostage
التقيم : 6.9 ⭐
النوع : إثارة ، جريمة
سنة الأصدار 2026 - مستمر
القصه :
تدور الأحداث في إنديانابوليس عام 1977، وتتمحور حول الصحفي الإذاعي فريد هيكمان، الذي يجد نفسه فجأة في قلب أزمة احتجاز رهينة حقيقية.
أضغط هنا لمشاهدة المسلسل
المسلسل : Godfather of Harlem
التقيم : 8.1 ⭐
النوع : دراما ، جريمة
سنة الأصدار 2019
القصه :
حول زعيم الجريمة المنظمة الشهير بامبي جونسون (الذي يجسد شخصيته النجم فورست ويتكر)، حيث تبدأ الأحداث في أوائل ستينيات القرن العشرين عند عودته إلى حيه القديم "هارلم" في نيويورك بعد قضاء 10 سنوات في سجن ألكاتراز الفيدرالي.
أضغط هنا لمشاهدة المسلسل
المسلسل : The Perfect Lie
التقيم : 6.6 ⭐
النوع : دراما ، إثارة
سنة الأصدار 2026 - مستمر
القصه :
حول رجل وامرأة يقدّم كل منهما رواية مختلفة تمامًا عن نفس الذكرى أو الموعد الأول الذي بدا في الأساس مثاليًا، مما يتحول سريعًا إلى صراع نفسي مليء بالأسرار والشكوك وتضارب الروايات داخل غرفة تحقيق باردة.
أضغط هنا لمشاهدة المسلسل
المسلسل : Neagley
التقيم : 7.8 ⭐
النوع : دراما ، أكسن ، جريمة ، غموض
سنة الأصدار 2026
القصه :
حول المحققة الخاصة في شيكاغو فرانسيس نيغلي (ماريا ستين)، وهي رقيب أول سابق في الجيش وضابطة شرطة عسكرية وعضوة سابقة في وحدة المحققين الخاصة 110 النخبوية.
أضغط هنا لمشاهدة المسلسل
المسلسل : Insatiable
التقيم : 6.5 ⭐
النوع : كومديا ، غموض
سنة الأصدار 2018
القصه :
حول فتاة مراهقة تدعى "باتي بلاديل" تتعرض لسخرية واسعة وتنمر بسبب وزنها الزائد لسنوات طويلة في المدرسة الثانوية.
أضغط هنا لمشاهدة المسلسل
الفيلم : The End of Oak Street
التقيم : 6.5
النوع : خيال علمي | مغامرة
سنة الأصدار 2026
القصة
حول عائلة "بلات" التي تتكاتف للنجاة بعد أن ينقلها حدث كوني غامض مع حيّهم السكني بالكامل إلى حقبة زمنية بدائية تملؤها الديناصورات.
أضغط هنا لمشاهدة الفيلم
الفيلم : You Again
التقيم : 5.8
النوع : كوميدي | عائلي
سنة الأصدار 2010
القصة
حول فتاة تعود لمنزل عائلتها لحضور زفاف شقيقها لتكتشف أن العروس هي الفتاة التي مارست التنمر عليها في المدرسة الثانوية
أضغط هنا لمشاهدة الفيلم
المسلسل : Crew Girl
التقيم : 6.7 ⭐
النوع : دراما
سنة الأصدار 2026
القصه :
حول المراهقة "تيغان تاو" التي تنتقل للعيش في بلدة جديدة وتلتحق بمدرسة إعدادية مرموقة بعد تعرض عائلتها لفضيحة مالية.
أضغط هنا لمشاهدة المسلسل
الفيلم : Knight and Day
التقيم : 6.3
النوع : أكشن | كوميدي
سنة الأصدار 2010
القصة
حول الفتاة العادية جون هافنز (كاميرون دياز) التي تعمل في ترميم السيارات، والتي تقابل بالصدفة العميل السري المتمرد روي ميلر (توم كروز) في المطار
أضغط هنا لمشاهدة الفيلم
❤19👍1
Showing the 12 most recent of 107 posts we hold for @TYRONL. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“مسلسلات وافلام السينما” (@TYRONL), 88,002 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/TYRONL.
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.