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 8 August 2026 and assigned it the closest of 31 fixed categories, at 68% 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 the other topics.
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.
Views per post sit far below this size band
34.7 average views per post against 219,462 subscribers — an engagement rate of 0.016%. Across the 1,149 registered channels in the same cohort — 100,055–315,910 subscribers, posting mainly in Persian — the middle half sit between 1.83% and 8.73%, with a median of 4.25%.
What this was computed from
Window
30 days (27 September 2026 – 27 October 2026)
Posts measured
1,160 of 1,160 published in the window (1,155 exact, 5 rounded by Telegram)
Views totalled
40,305
Mature posts only
0.316% over 20 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 27 October 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.
Growth
50 measurements spanning 80 days, net +4,141. 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 213,377–230,222 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)
Subscribers
Change
27 Oct 2026, 02:46
219,462
-880
26 Oct 2026, 04:36
220,342
-1,055
25 Oct 2026, 01:08
221,397
-1,048
23 Oct 2026, 23:35
222,445
-1,276
22 Oct 2026, 21:28
223,721
-1,097
21 Oct 2026, 21:36
224,818
-1,692
20 Oct 2026, 14:19
226,510
-464
19 Oct 2026, 16:06
226,974
-43
18 Oct 2026, 15:35
227,017
-305
17 Oct 2026, 13:05
227,322
-396
16 Oct 2026, 13:46
227,718
+100
15 Oct 2026, 14:31
227,618
+211
14 Oct 2026, 16:28
227,407
+848
13 Oct 2026, 06:37
226,559
+1,579
9 Oct 2026, 02:01
224,980
+543
4 Oct 2026, 15:19
224,437
+128
26 Sept 2026, 13:42
224,309
+465
19 Sept 2026, 15:58
223,844
-985
17 Sept 2026, 06:19
224,829
-948
15 Sept 2026, 03:40
225,777
first reading
Engagement
3,260 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 166 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.015%
avg views ÷ 219,462 subscribers
Avg views / post
33.9
1,140 posts measured
Reaction rate
0.419%
reactions ÷ views · ER floor
Posts in window
1,140
of 3,260 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 24 of 1,140 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 27 October 2026
Posts held
3,260 (7 August 2026 – 27 October 2026)
Views total
38,684
Reactions total
13
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Oct 2026, 12:47 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
≈3,990
Videos
≈53
Links
≈3,980
Lifetime counters from Telegram’s own channel header, read 27 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.
Reaction mix
11 reactions across 11 posts, in 2 distinct kinds. The most used accounts for 90.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
10
90.9%
👍
1
9.09%
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 21 of the 1,000 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 1 October 2026 to 27 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.
@godfilm85
📺 فیلم #بزرگسال🔞 "جنتلمن های شاد"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 4.8
🎭 ژانر: کمدی، موزیکال، عاشقانه
🚩 محصول کشور :آمریکا 2024
✍خلاصه داستان : داستان یک رقصنده سابق که برای نجات سالن نمایش پدر و مادرش، یک رویداد کریسمسی تماماً مردانه برگزار میکند و ...
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@godfilm85
📺 فیلم #بزرگسال🔞 "جنگ سرد"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 7.6
🎭 ژانر: درام - عاشقانه - تاریخی - موزیکال
🚩 محصول کشور :آمریکا 2018
✍خلاصه داستان : عشق پرشور دو نفر با گذشته متفاوت در دوران جنگ سرد روایت میشود.
❌ دارای محدودیت سنی +18
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@godfilm85
📺 فیلم #بزرگسال🔞 "محاصره یک زن زیبا"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 6.5
🎭 ژانر: درام - عاشقانه
🚩 محصول کشور :آمریکا 1990
✍خلاصه داستان : ادوارد لوئیس (ریچارد گر) سوار بر یک لوتوس اسپیریت در هالیوود بلوارد توقف میکند تا راه را جویا شود و در این هنگام ویوین وارد (رابرتز)، یک فاحشه با قلبی طلایی گمان میکند که ادوارد دنبال یک همراه عشقی میگردد و به…
@godfilm85
📺 فیلم #بزرگسال🔞 "پای آمریکایی"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 5.3
🎭 ژانر: عاشقانه - کمدی - تینیجری
🚩 محصول کشور :آمریکا 2020
✍خلاصه داستان : آنی ، کایلا ، میشل و استفانی تصمیم می گیرند از قدرت دخترانه ی خود استفاده کنند و با هم متحد شوند تا به آنچه در سال آخر دبیرستان می خواهند برسند ولی…
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@godfilm85
📺 فیلم #بزرگسال🔞 "اهالی کلاس جی"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 7.9
🎭 ژانر: اکشن، عاشقانه، تنیجری
🚩 محصول کشور :آمریکا 2023
✍خلاصه داستان : شوتا کادوماتسو" به امید پیدا کردن دوست دختر به یک مدرسه پسرانه انتقالی میگیره که توسط چهار مدرسه دخترانه احاطه شده. یه شایعه توی مدرسه شون هست که 120٪ افراد بکارت شون رو قبل از فارغ التحصیلی میدن. اما از بخت…
@godfilm85
📺 فیلم #بزرگسال🔞 "Eat Pray Love"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 5.8
🎭 ژانر: بیوگرافی - درام - عاشقانه
🚩 محصول کشور :آمریکا 2010
✍خلاصه داستان : براساس داستانی واقعی، یک زن متاهل به نام "لیز گیلبرت" متوجه میشود از ازدواج خود راضی نیست و باید مسیر جدیدی را در زندگیاش آغاز کند. حال پس از یک طلاق دردناک، "لیز" سفری را به دور دنیا آغاز کرده تا خود را…
@godfilm85
📺 فیلم #بزرگسال🔞 "پرده رنگی"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 7.4
🎭 ژانر: درام - عاشقانه
🚩 محصول کشور :آمریکا 2021
✍خلاصه داستان : پزشکی جوان در پی بروز مشکلاتی در زندگی شخصی اش، به همراه همسرش به دهکده ای کوچک در چین می رود تا با بیماری وبا مبارزه کند...
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🔥 انواع پکیجهای متنوع + بهترین قیمتهای بازار! 🔥
🔰 #پکیج_وطنی_ناب 🇮🇷 چهرهدار و لزبین
🔰 #پکیج_خارجی 🌍 با کیفیت بالا
🔰 #پکیج_همجنسگرایی 🏳🌈 + لز و گی و..
🔰 #پک_خردسال + نایاب 💎 خاص و کمیاب
🎯 انتخاب آسون | 💰 قیمت عالی | ⚡ ارسال فوری
👇 همین حالا وارد ربات شو و پکیج مورد علاقهت رو بگیر 👇
@ForooshFilm69Bot 🇮🇷 @ForooshFilm69Bot
@ForooshFilm69Bot 🇮🇷 @ForooshFilm69Bot
@godfilm85
📺 فیلم #بزرگسال🔞 "روی زهره میبینمت"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 7.1
🎭 ژانر: درام - عاشقانه
🚩 محصول کشور :آمریکا 2023
✍خلاصه داستان : روی زهره میبینمت ؛ یک دختر یتیم 18 ساله در حال مرگ، می خواهد برای یافتن مادر بیولوژیکی خود به اروپا سفر کند، بنابراین وقتی با مرد جوان مهربانی روبرو می شود که از گناه یک تصادف مرگبار رنج می برد، او را متقاعد می کن…
@godfilm85
📺 فیلم #بزرگسال🔞 "آنها مال من هستند"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 6.2
🎭 ژانر: درام ، ممنوعه
🚩 محصول کشور :آمریکا 2023
✍خلاصه داستان : شش نفر که زیر یک سقف زندگی می کنند با مشکلاتی روبرو هستند که می تواند آنها را از هم بپاشد. در میان این آشفتگی، زنان خانواده برای حفظ خانواده ثابت قدم می مانند.
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@godfilm85
📺 فیلم #بزرگسال🔞 "The Ugly Truth"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 6.7
🎭 ژانر: کمدی - عاشقانه
🚩 محصول کشور :آمریکا 2009
✍خلاصه داستان : خانم «ابی ریتچر» یک عاشق دلخسته و تهیه کننده برنامه های تلویزیونی است زمان بسیاری را در زندگی صرف پیدا کردن جفت مورد نظر خود کرده, اما با تمام ناامیدی هنوز تنهاست . او مجبور به همکاری با یک مجری مشهور بنام «مایک» می…
@godfilm85
📺 فیلم #بزرگسال🔞 "بهشت در جهنم"🎬 )
📥 کیفیت: Bluray (عالی)
♨️ نسخه کامل و بدون حذفیات
📝 #زیرنویس_چسبیده_فارسی
🌟 امتیاز : 4.9
🎭 ژانر: درام - اروتیک - ممنوعه - عاشقانه
🚩 محصول کشور :آمریکا 2023
✍خلاصه داستان : اولگا و ماکس 15 سال بعد به همدیگه برخورد میکنند زن داستان حالا یه خانم بالغ و موفق و همین طور مادر یه دختر نوجوانه و طرف دیگه مرد داستان جوان و خوشتیپه و خصوصیتش اینکه در لحظه زندگی میکنه ممکنه بنظر …
Showing the 12 most recent of 3,260 posts we hold for @dadycilip. 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
2
handles named in this channel’s posts, vacant today
Evidenced gone
2
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@dadycilip named 2 handles 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@mohafez18713bot named in 70 posts, 8 August 2026 – 28 September 2026 · confirmed gone 7 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@mohafezmamnoaee3bot named in 37 posts, 8 August 2026 – 21 August 2026 · confirmed gone 3 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 October 2026 — this
entry's latest reading, not the date you are reading this.
“ددی کلیپ” (@dadycilip), 219,462 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/dadycilip.
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.