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 9 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.
Growth
31 measurements spanning 41 days, net +25,320. 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 143,858–176,774 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
18 Sept 2026, 03:55
172,976
+1,462
15 Sept 2026, 19:19
171,514
+749
14 Sept 2026, 00:20
170,765
+830
12 Sept 2026, 09:39
169,935
+1,312
10 Sept 2026, 09:55
168,623
+1,394
7 Sept 2026, 04:17
167,229
+1,378
4 Sept 2026, 12:42
165,851
+777
3 Sept 2026, 02:13
165,074
+557
1 Sept 2026, 23:35
164,517
+523
31 Aug 2026, 20:04
163,994
+527
30 Aug 2026, 18:13
163,467
+551
29 Aug 2026, 17:38
162,916
+556
28 Aug 2026, 15:42
162,360
+535
27 Aug 2026, 14:56
161,825
+645
26 Aug 2026, 11:29
161,180
+657
25 Aug 2026, 09:27
160,523
+502
24 Aug 2026, 07:25
160,021
+1,125
22 Aug 2026, 14:33
158,896
+1,146
21 Aug 2026, 06:03
157,750
+461
20 Aug 2026, 05:06
157,289
first reading
Engagement
148 posts held, back to 6 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 106 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.29%
avg views ÷ 172,976 subscribers
Avg views / post
14,300
69 posts measured
Reaction rate
0.16%
reactions ÷ views · ER floor
Posts in window
70
of 148 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 25 September 2026
Posts held
148 (6 August 2026 – 25 September 2026)
Views total
989,630
Reactions total
1,587
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 08:57 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
≈1,480
Videos
≈1
Links
≈209
Lifetime counters from Telegram’s own channel header, read 27 September 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
36s
Average length
36s
Measured directly from 1 video 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
3,850 reactions across 147 posts, in 43 distinct kinds. The most used accounts for 65.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,507
65.1%
🔥
389
10.1%
💔
238
6.18%
😡
174
4.52%
👏
68
1.77%
🤔
45
1.17%
❤🔥
42
1.09%
😨
31
0.805%
🤣
28
0.727%
🗿
26
0.675%
😍
25
0.649%
😁
24
0.623%
🌚
19
0.494%
🍾
16
0.416%
👌
16
0.416%
🤷♀
16
0.416%
🏆
15
0.39%
🥰
15
0.39%
👨💻
14
0.364%
😭
13
0.338%
23 further kinds
129
3.35%
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 147 of the 148 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 3,850 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 148 most recent posts we hold, published 6 August 2026 to 25 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
3
across the posts below
Posts paid on
2
of 147 we hold a reading for · 1%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CCDBotc. 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 148 most recent posts we hold for this entry, published 6 August 2026 to 25 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.
THE RIVALS OF AMZIAH KING 2026
التقييم: 6.9/10
جريمة - دراما
رجل يعمل في تربية النحل وتجارة العسل تعود إليه ابنته بالتبني بعد سنوات من الفراق ليحاول إعادة بناء العلاقة معها وتعليمها أسرار المهنة. قبل أن يبدأ كل ما بناه بالانهيار
للمشاهده والتحميل البوت👇🌎 💎
https://t.me/weeceebot
عجبك الفيلم تفاعل مع المنشور 🚀
فرصة عمل أونلاين
. العمل عبارة عن نشر إعلانات في الشبكات الاجتماعية
بدون خبرات أو شهادات سابقة
. دخل أسبوعي
. العمل ضمن فريق عمل حول العالم أونلاين
المهتم يسجل بالاستبيان التالى وسيتم التواصل معك واتساب وتزويدك بكافة التفاصيل.
رابط الاستبيان : 👇🏻✔️
https://forms.gle/GWGHkr4VWiGJnLsw5
من أفخم الأفلام في العقد الأخير ومن اكثر الأفلام حبكة وتشويقًا بالنسبة للعبقري " ماثيو ماكونهي" 🎞️♥️
🔸إسم الفيلم free state of jones 2016
🔸 ﺗﺄﻟﻴﻒ: ليونارد هارتمان (القصة) جاري روس (مؤلف)
🔸بطولة : ماثيو ماكونهي جو كريست كيري راسل جوجو مباثا راو براد كارتر كريستوفر بيري...🥀
🔸ﺇﺧﺮاﺝ: جاري روس (مخرج)
القصة 🎭 📽️:
إبان فترة الحرب الأهلية في الولايات المتحدة، يقرر المزارع الجنوبي نيوتن نايت التصدي للعبودية والانفصا…
️ فيلم لا يُفوّت لمحبي الدراما والإثارة! ⚠️
إذا كنت تبحث عن عملٍ سينمائيٍّ يشدّ أنفاسك من اللحظة الأولى حتى النهاية،
فلا تفوّت مشاهدة “Labor Day (2013)”
قصة تجمع بين التوتر العاطفي والدراما الإنسانية العميقة،
تمثيل مُتقن، وسيناريو يأسر القلب والعقل.
🔥 فيلم رائع بكل المقاييس… يستحق المشاهدة وبجدارة! 👌🏻
القصة :
عـن أم مطــ ـلقـة في اليوم السابق لعيد ميلاد ابنها وبينما تتسوق تقابل رجلًا غامـض جـريـ.ـح، لتقرر مساعدته وا…
فيلم السهره عظمه وجمدان
يستحق عن جداره الساعتين 👌🏻👌🏻🔥
اسم الفيلم: The Judge 2014
عند البحث ضع اسم الفيلم مع سنه الاصدار 2014
للمشاهده والتحميل البوت👇 🌎
https://t.me/weeceebot
عجبك الفيلم تفاعل مع المنشور 🚀
فيلم جميل لسهرة اليلة 💃✨
فـيـلـم : Ballerina
• 📜 القصة : Raoufbnmovis
فتاة يتيمة تحلم بأن تصبح راقصة باليه وتهرب من مدينة بريتاني الريفية إلى باريس، آملة أن تتحول لشخص أفضل وتتبوأ مكانها كتلميذة في مسرح الأوبرا الكبير.
للمشاهده والتحميل البوت👇 🌎
https://t.me/weeceebot
عجبك الفيلم تفاعل مع المنشور 🚀
THE END OF OAK STREET 2026
التقييم: 6.5/10
أكشن
عائلة تجد أن حيّها السكني الهادئ قد نُقل بفعل حدث كوني غامض إلى عصر ما قبل التاريخ.
للمشاهده والتحميل البوت👇 🌎
https://t.me/weeceebot
عجبك الفيلم تفاعل مع المنشور 🚀
أحد أعظم الأفلام التي ستشاهدها، تحفة بكل ما تعني الكلمة!👌🏻
- فيلم: Changeling (2008)
📜 القصة :Raoufbnmovis
في لوس أنجلوس عام 1928، تنقلب حياة الأم "كريستين كولينز" رأساً على عقب عندما يُختطف ابنها الصغير. وبعد شهور من البحث، تعلن الشرطة عن عودته... لكن "كريستين" تصر أن الصبي الذي أعيد إليها ليس ابنها الحقيقي ، في مواجهة نظام شرطي فاسد ومجتمع لا يصدقها، تبدأ رحلة مؤلمة ومليئة بالإصرار لكشف الحقيقة، متحدية كل الع…
❤26💋2
Showing the 12 most recent of 148 posts we hold for @CCDBotc. 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.
Posts edited after publishing
@CCDBotc edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
20 August 2026
Most recent edit
10 September 2026
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 5 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“افلام مسلسلات (وي سيما )” (@CCDBotc), 172,976 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/CCDBotc.
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.