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 10 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 58 days, net -1,624. 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 23,567–25,679 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
4 Oct 2026, 08:18
23,811
-523
25 Sept 2026, 19:01
24,334
-380
17 Sept 2026, 09:01
24,714
-37
15 Sept 2026, 10:58
24,751
-18
13 Sept 2026, 17:19
24,769
-26
11 Sept 2026, 21:20
24,795
-29
9 Sept 2026, 09:00
24,824
-53
6 Sept 2026, 03:59
24,877
-47
3 Sept 2026, 23:17
24,924
-19
2 Sept 2026, 14:06
24,943
-20
1 Sept 2026, 15:53
24,963
-30
31 Aug 2026, 16:07
24,993
-10
30 Aug 2026, 16:33
25,003
-22
29 Aug 2026, 16:02
25,025
-7
28 Aug 2026, 16:34
25,032
-20
27 Aug 2026, 15:23
25,052
-17
26 Aug 2026, 12:38
25,069
-8
25 Aug 2026, 10:22
25,077
-16
24 Aug 2026, 13:43
25,093
-27
22 Aug 2026, 21:57
25,120
first reading
Engagement
74 posts held, back to 21 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 78 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.70%
avg views ÷ 23,811 subscribers
Avg views / post
404
12 posts measured
Reaction rate
3.79%
reactions ÷ views · ER floor
Posts in window
12
of 74 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 6 October 2026
Posts held
74 (21 July 2026 – 6 October 2026)
Views total
4,852
Reactions total
184
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Oct 2026, 03:06 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
≈1,020
Videos
≈150
Links
≈703
Lifetime counters from Telegram’s own channel header, read 7 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
17m 38s
Average length
59s
Measured directly from 18 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
1,289 reactions across 71 posts, in 24 distinct kinds. The most used accounts for 39.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
509
39.5%
❤
284
22.0%
🔥
127
9.85%
🥰
72
5.59%
🥱
66
5.12%
🐳
56
4.34%
🥴
39
3.03%
🤯
31
2.40%
😈
23
1.78%
😁
20
1.55%
💔
14
1.09%
👀
8
0.621%
😢
7
0.543%
🤩
7
0.543%
😍
6
0.465%
🎄
5
0.388%
🍾
3
0.233%
😇
3
0.233%
🌚
2
0.155%
👻
2
0.155%
4 further kinds
5
0.388%
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 71 of the 74 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 1,289 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 74 most recent posts we hold, published 21 July 2026 to 6 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.
🎬 فیلم: «زند*انبانان ز*نان»
Fe*male Prison Guards (2015)
🎭 ژانر: #بزرگسال #اروتیک #داستانی
🌍 محصول: اروپا
🗣 زبان: نسخه اصلی (زبان اصلی)
📅 سال ساخت: ۲۰۱۵
⏱ مدت زمان: حدود ۲ ساعت
👤 کارگردان: Alex Romero
🔥 نسخه بدون سانسور و حذفیات
🔞 دارای محدودیت سنی ۲۱+
📝 خلاصه داستان:
نگهبانان زن زندان با زندانیان مرد وارد روابط صریح و ممنوعه میشوند. بازیگران مشهور صنعت بزرگسال در این فیلم حضور دارند...
📥 دریافت فیلم
@VelvetMov
🎬 فیلم: «زندان زنان»
Prison Girls (2011)
⚠️ #ممنوعه | #VIP
⭐️ امتیاز IMDb: 8.3/10
🎭 ژانر: بزرگسالان / اروتیک
🌍 محصول: آمریکا
🗣 زبان: زیرنویس فارسی
❌ بدون سانسور و حذفیات (دارای صحنههای کاملاً بدون سانسور)
🔞 تماشا فقط برای افراد بالای ۱۸ سال | +۲۴
📝 خلاصه داستان:
داستانی پر از صحنههای داغ در فضای زندان زنان، با حضور الکسیس تگزاس و چند بازیگر دیگر. زندانیان و نگهبانها در موقعیتهای مختلف با هم درگیر میشوند...
📥 …
🎥 فیلم #ممنوعه: «بستنی کثیف»
Dirty Ice Cream (2024)
⚠️ #VIP
⭐️ امتیاز IMDb: 5.5/10
🎭 ژانر: درام
💬 زیرنویس چسبیده فارسی
✂️ بدون سانسور و حذفیات
🌍 محصول: فیلیپین
✍️ خلاصه داستان:
روستاییان با گرمای شدیدی روبهرو هستند. دو فروشنده بستنی به روستا میآیند. با قطع شدن برق، زنان محله به نوبت برای رفع نیازهایشان به سراغ آنها میروند...
📥 دانلود فیلم
@VelvetMovie
⛔️ #فیلم_ممنوعه «لغزشها»
Cheeky (2000)
(عنوان اصلی: Tra(sgre)dire)
🚫 #بدون_سانسور و حذفیات #VIP
📝 #زیرنویس_فارسی
🔞 فول صحنه و بزرگسال
⭐️ امتیاز IMDb: 5.4/10
🎭 ژانر: کمدی اروتیک | درام
🌍 محصول: ایتالیا
✍️ خلاصه داستان:
کارلا در لندن به دنبال آپارتمان برای دوستپسر ونیزیاش میگردد و آپارتمانی مشرف به رودخانه تیمز اجاره میکند. در آنجا با مویرا، مشاور املاک شهوتران آشنا میشود و رابطهای ممنوعه بین آنها شکل میگی…
🎬 سکانسی از کالکشن «از گرگ و میش تا سحر»
From Dusk Till Dawn Collection
🩸 مجموعهای خشن و پرهیجان از فیلمهای اکشن، جنایی و ترسناک که داستانهای جنایی و ماجراهای تاریک را با فضای ترسناک و خونآلود ترکیب میکند.
🎞️ بخشی از کالکشن را تماشا کنید؛
کالکشن کامل فیلمها در پست بعدی منتشر میشود.
@AvanoMovie
🎬 #کالکشن | از گرگ و میش تا سحر 🩸🔥
🍿 From Dusk Till Dawn Collection (1996–1999)
✨ مجموعه «از گرگ و میش تا سحر» ترکیبی از اکشن، جنایت و وحشت است که داستان گروهی از تبهکاران را دنبال میکند که در مسیر فرار خود وارد مکانی مرموز و خطرناک میشوند؛ جایی که اوضاع خیلی زود از یک ماجرای جنایی به کابوسی خونین تبدیل میشود.
🎭 ژانر: #اکشن #جنایی #ترسناک #هیجان_انگیز
🗣 زبان: زیرنویس فارسی چسبیده
🔥 نسخه: بدون سانسور و حذفیات
🌐 …
🎬 فیلم: «اگه میتونی منو بگیر»
Catch Me If You Can (2002)
⭐️ امتیاز IMDb: 8.1/10
🎭 ژانر: #جنایی، #کمدی، #درام
🌍 محصول: آمریکا، کانادا
🕣 مدت زمان: ۲ ساعت و ۲۱ دقیقه
📅 سال انتشار: 2002
🔥 نسخه بدون سانسور و حذفیات
🗣 زبان: زیرنویس چسبیده فارسی
📝 خلاصه داستان:
فرانک ابگنیل جونیور، نوجوانی باهوش و ماجراجو، پیش از رسیدن به ۱۹ سالگی با جعل چک و استفاده از هویتهای مختلف خود را بهعنوان خلبان، پزشک و وکیل جا میزند. در همی…
🎬 معرفی فیلم: «اگه میتونی منو بگیر»
Catch Me If You Can (2002)
یک فیلم جنایی، کمدی و درام جذاب به کارگردانی استیون اسپیلبرگ و با بازی لئوناردو دیکاپریو و تام هنکس؛ داستان نوجوانی باهوش که با هویتهای مختلف زندگی میکند و مأمور FBI قدمبهقدم به دنبال اوست.
🎞️ بخشی از فیلم را تماشا کنید؛
فیلم کامل در پست بعدی منتشر میشود.
@AvanoMovie
🎬 فیلم: «پوستی که در آن زندگی میکنم»
The Skin I Live In (2011)
⭐️ امتیاز IMDb: 7.6/10
🎭 ژانر: #درام، #ترسناک، #معمایی، #هیجان_انگیز
🌍 محصول: اسپانیا
🕣 مدت زمان: ۲ ساعت
📅 سال انتشار: 2011
🔥 نسخه بدون سانسور و حذفیات
🗣 زبان: زیرنویس چسبیده فارسی
📝 خلاصه داستان:
دکتر رابرت لِدگارد، جراح پلاستیک برجستهای، پس از سالها تحقیق موفق به ساخت نوعی پوست مصنوعی مقاوم میشود. او این دستاورد را روی فردی مرموز که در خانهاش نگ…
🎬 معرفی فیلم: «پوستی که در آن زندگی میکنم»
The Skin I Live In (2011)
یک تریلر روانشناختی و رازآلود از پدرو آلمودوار درباره جراح پلاستیکی مرموز که روی نوعی پوست مصنوعی آزمایش میکند؛ اما پشت این تحقیقات، رازهای تاریک و پیچیدهای پنهان شده است.
🎞️ بخشی از فیلم را تماشا کنید؛
فیلم کامل در پست بعدی منتشر میشود.
@AvanoMovie
🎬 فیلم: «کلمبیانا»
Colombiana (2011)
⭐️ امتیاز IMDb: 6.4/10
🎭 ژانر: #اکشن، #جنایی، #هیجان_انگیز
🌍 محصول: فرانسه
🕣 مدت زمان: ۱ ساعت و ۴۸ دقیقه
📅 سال انتشار: 2011
🔥 نسخه بدون سانسور و حذفیات
🗣 زبان: زیرنویس چسبیده فارسی
📝 خلاصه داستان:
کاتالیا، دختری که در کودکی شاهد کشته شدن والدینش بوده، بهسختی از آن حادثه جان سالم به در میبرد و به آمریکا فرار میکند. سالها بعد، او به یک آدمکش حرفهای تبدیل شده و در جستوجوی کس…
🎬 معرفی فیلم: «کلمبیانا»
Colombiana (2011)
یک فیلم اکشن و جنایی پرهیجان با بازی زوئی سالدانا درباره زنی که پس از یک حادثه تلخ در کودکی، سالها برای پیدا کردن عاملان آن اتفاق و گرفتن انتقام آماده میشود.
🎞️ بخشی از فیلم را تماشا کنید؛
فیلم کامل در پست بعدی منتشر میشود.
@AvanoMovie
❤4👍1
Showing the 12 most recent of 74 posts we hold for @AvanoMovie. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 8 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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“فیلم و سریال خارجی 🇺🇸” (@AvanoMovie), 23,811 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/AvanoMovie.
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.