Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 12 of the 12 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 40 comparable posts for this entry, running 7 August 2026 to 8 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @zarfilmmamnoe. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
35 measurements spanning 62 days, net -1,809. 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 12,992–15,343 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
8 Oct 2026, 20:56
13,263
-152
4 Oct 2026, 08:18
13,415
-213
25 Sept 2026, 13:55
13,628
-155
19 Sept 2026, 01:56
13,783
-62
16 Sept 2026, 19:39
13,845
-46
15 Sept 2026, 00:00
13,891
-51
13 Sept 2026, 06:55
13,942
-36
11 Sept 2026, 11:38
13,978
-48
8 Sept 2026, 20:41
14,026
-86
5 Sept 2026, 15:55
14,112
-48
3 Sept 2026, 19:19
14,160
-36
2 Sept 2026, 14:47
14,196
-24
1 Sept 2026, 13:58
14,220
-32
31 Aug 2026, 11:47
14,252
-42
30 Aug 2026, 09:03
14,294
-36
29 Aug 2026, 07:36
14,330
-29
28 Aug 2026, 09:03
14,359
-33
27 Aug 2026, 05:38
14,392
-40
26 Aug 2026, 02:13
14,432
-27
25 Aug 2026, 00:55
14,459
first reading
Engagement
993 posts held, back to 7 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 50 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 993 posts for this entry, the most recent from 2 September 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
2 reactions across 2 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2
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 3 of the 993 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 993 most recent posts we hold, published 7 August 2026 to 2 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.
دختران داغ تحت تعقیب
#درام #بزرگسال #ممنوعه
⭐️امتیاز: 6.1
درباره پورن و زن جوانی که غرق در روسپی گری شده است و به ما نشان میدهد که چگونه نسل جدید پورنو گرافی از طریق وب و اینترنت میتواند جلوی ساختن فیلم های پورن را بگیرد …
🔖سال ساخت: 2015
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🎥فیلم ممنوعه : « تقصیر ریو است »
Blame It on Rio 1984
⭐️ امتیاز IMDB : 5.8 از 10
🎭 ژانر: #عاشقانه #کمدی
💬 زیرنویس_چسبیده_فارسی
✂️ بدون سانسور و حذفیات
🌎 محصول کشور: آمریکا
✍️ خلاصه داستان:
دو دوست به همراه دختران خود برای سپری کردن تعطلات به ریو می روند اما یکی از آنها عاشق دختر دیگری می شود و...
⛔دارای محدودیت سنی 🔞
➰ لینک دانلود:
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💡 برای باز شدن زیرنویس از MX Player یا KM Player استفاده کنید.
🆔
#فیلم_سینمایی_ممنوعه_جدید
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
📺 فیلم #بزرگسال🔞 " Swastika Manji "🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 6.8 اسپانیا
🎭 ژانر: درام، عاشقانه
🚩 محصول کشور :آمریکا 1964
✍خلاصه داستان : "سونوکو"، همسری خسته در میانسالی، با دختر جوانی به نام "میتسوکو" در مدرسه هنر آشنا می شود. "سونوکو" یک پرتره از او نقاشی کرده و او را به خانه اش دع…
#فیلم_سینمایی_ممنوعه_جدید
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
📺 فیلم #بزرگسال🔞 " This Is Me...Now "🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 6.5 اسرائیل
🎭 ژانر: درام، عاشقانه
🚩 محصول کشور :آمریکا 2024
✍خلاصه داستان : همزمان با انتشار آلبومی به همین نام، بازتابی صمیمی، خارقالعاده و روایت محور از سفر جنیفر لوپز برای خوددرمانی و عشق به خود را به تصویر میکشد، در…
#فیلم_سینمایی_ممنوعه_جدید
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
📺 فیلم #بزرگسال🔞 " افسونگر "🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 6.0 کانادا
🎭 ژانر: درام، عاشقانه، ممنوعه
🚩 محصول کشور :آمریکا 2005
✍خلاصه داستان : یک مرد متاهل بعد از یک مهمانی طولانی و سرگرم کننده، که اتفاقات زیادی در آن برایش رخ میدهد، اکنون درگیر تحقیقات یک کارآگاه پلیس حیلهگر میشود که زن…
یه چیز تیز
#درام #کمدی #ممنوعه
⭐️امتیاز: 5.0
سارا جو" یک جوان 26 ساله ساده لوح است که با مادر و خواهرش در حاشیه هالیوود زندگی می کند. او فقط آرزوی دیده شدن را دارد، ولی ...
🔖سال ساخت: 2022
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#فیلم_سینمایی_ممنوعه_جدید
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
📺 فیلم #بزرگسال🔞 " Womens Prison "🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 6.4 اسرائیل
🎭 ژانر: جنایی، درام، نوآر
🚩 محصول کشور :آمریکا 2014
✍خلاصه داستان : رئیس بی رحم یک زندان، زندگی را برای زندانیان زن به جهنم تبدیل میکند و...
❌ دارای محدودیت سنی +18
📥مـشاهده و دانلود 🔥
📥مـشاهده و دانلود 🔥
📥مـش
#فیلم_سینمایی_ممنوعه_جدید
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
📺 فیلم #بزرگسال🔞 " Falling Inn Love "🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 6.0 آنگولا
🎭 ژانر: کمدی، عاشقانه، درام
🚩 محصول کشور :آمریکا 2019
✍خلاصه داستان : وقتی که یک دختر شهری تصمیم میگیرد به یک روستا رفته و در آنجا ساکن شود با پیمانکار بزرگی به نام جیک آشنا میشود و از او درخواست همکاری میکند..…
#فیلم_سینمایی_ممنوعه_جدید
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
📺 فیلم #بزرگسال🔞 " پایان سکـ.ـس "🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 5.0 استرالیا
🎭 ژانر: درام، عاشقانه، بزرگسال، کمدی
🚩 محصول کشور :آمریکا 2019
✍خلاصه داستان : زن و شوهری که فشارهای والدینی و بزرگسالی را احساس میکنند، برای اولین بار فرزندان خود را به کمپ زمستانی میفرستند و برای تقویت رابطه …
آواز خواندن
#درام #عاشقانه
⭐️امتیاز: 6.5
یک پسر نوجوان برای یافتن عشق، در تعطیلات تابستانی به شهر مادری خودش باز می گردد...
🔖سال ساخت: 2017
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هر روز
#درام #عاشقانه #تینجری
⭐️امتیاز: 6.5
ریانن پس از اینکه به طور اتفاقی با فردی مرموز آشنا میشود ، درمییابد که آن شخص هر روز تغییر چهره میدهد و به شخصی جدید تبدیل میشود و…
🔖سال ساخت: 2018
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📤
#فیلم_سینمایی_ممنوعه_جدید
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
𝗭𝗮𝗽𝗮𝘀☛ @FILM2muv 🔞
📺 فیلم #بزرگسال🔞 " The Opposite of S..e..x "🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 6.4 آنگولا
🎭 ژانر: کمدی
🚩 محصول کشور :آمریکا 1998
✍خلاصه داستان : دختری شانزده ساله (کریستینا ریچی) به ملاقات برادر ناتنی اش که همجنس گرا است می رود، و بعد از مدتی عاشق دوست پسر برادرش می شود، و همین مساله باعث بو…
Showing the 12 most recent of 993 posts we hold for @sinamisimsim. 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
Names
Channels on the register whose handles appear in this channel's posts.
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
1
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
1
vacant every time we have ever looked
@sinamisimsim named 1 handle 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.
@mohafezsinamayyy3bot named in 9 posts, 11 August 2026 – 3 September 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 8 October 2026 — this
entry's latest reading, not the date you are reading this.
“سینمایی سیم سیم ممنوعه” (@sinamisimsim), 13,263 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/sinamisimsim.
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.