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 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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
33 measurements spanning 43 days, net +14,491. 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 53,000–71,839 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 18:02
69,665
+345
15 Sept 2026, 13:20
69,320
+416
14 Sept 2026, 01:00
68,904
+817
12 Sept 2026, 06:55
68,087
+783
9 Sept 2026, 21:59
67,304
+1,099
6 Sept 2026, 17:16
66,205
+1,270
4 Sept 2026, 04:57
64,935
+705
2 Sept 2026, 17:54
64,230
+594
1 Sept 2026, 15:13
63,636
+589
31 Aug 2026, 14:43
63,047
+814
30 Aug 2026, 11:54
62,233
-60
29 Aug 2026, 08:52
62,293
-131
28 Aug 2026, 06:43
62,424
-154
27 Aug 2026, 03:06
62,578
-178
26 Aug 2026, 00:45
62,756
-203
25 Aug 2026, 02:13
62,959
-157
23 Aug 2026, 16:22
63,116
+44
22 Aug 2026, 00:39
63,072
+200
20 Aug 2026, 21:33
62,872
+268
19 Aug 2026, 18:47
62,604
first reading
Engagement
167 posts held, back to 30 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 93 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.97%
avg views ÷ 69,665 subscribers
Avg views / post
5,550
117 posts measured
Reaction rate
2.10%
reactions ÷ views · ER floor
Posts in window
117
of 167 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 18 September 2026
Posts held
167 (30 July 2026 – 18 September 2026)
Views total
649,480
Reactions total
13,613
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
19 Sept 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
632
Videos
39
Links
9
Lifetime counters from Telegram’s own channel header, read 19 September 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.
Video runtime
3m 38s
Average length
55s
Measured directly from 4 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
19,953 reactions across 166 posts, in 14 distinct kinds. The most used accounts for 57.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
11,422
57.2%
❤🔥
2,305
11.6%
🍓
1,710
8.57%
😭
1,380
6.92%
🔥
1,094
5.48%
💘
645
3.23%
🤡
458
2.30%
💋
301
1.51%
💔
164
0.822%
😢
157
0.787%
😍
116
0.581%
💯
102
0.511%
🤨
55
0.276%
🆒
44
0.221%
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 167 of the 167 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 20,069 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 167 most recent posts we hold, published 30 July 2026 to 18 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.
🎬 // دراما جديدة :
تم تأكيد بطولة الممثلة في النسخة الكورية من الدراما الطبية اليابانية "Unnatural" 🍓.
يروي المسلسل قصة طبيبة شرعية تعمل في معهد UDI، وهو معهد تشريح جثث تابع للوكالة الوطنية للطب الشرعي، ويُكلف بمهمة كشف الحقيقة وراء العديد من الوفيات المشبوهة
تؤدي يونا دور سونغ دو إيون، وهي طبيبة شرعية في مركز التحقيقات الجنائية غير المحمدة الهوية.
على الرغم من مظهرها الهادئ والمتزن، إلا أنها تتمتع بعزيمة قوية واهتما…
⭐|| بوستر جديد:
أصدرت قناة SBS بوستر جديد من drama الطبية القادمة للممثلة "Doctor x" ، المقرر عرضها في 9 أكتوبر" 💕.
تدور القصة حول جراحة عبقرية لها ماض مظلم، ومتدرب في مجال الجراحة ينضم إليها، حيث تكشف الأحداث الجوانب الخفية والمظلمة من عالم الطب والجراحة"
💬 // تأكيد البطولة :
سيشارك الممثل في فيلم الرعب Nightmare ❤️🔥.
أكد لي جي هون مؤخراً ظهوره في الفيلم القادم *Nightmare* (من إخراج كيم سي هوي).
الفيلم من نوع خيال وإثارة ورعب تدور قصته عن ما يحدث عندما يتم نقل كابوس إلى الآخرين بدافع الجشع، باستخدام موضوع الأحلام التي يمكن شراؤها وبيعتها.
يمثل هذا عملياً أول تجربة لـ لي جي هون في نوع سينمائي يتضمن الرعب، وهذا الاختيار الجديد يحظى بتوقعات عالية.
سيلعب لي جي هون دور يا…
🎞 // مؤتمر صحفي :
نجوم مسلسل All Of Us Are Dead يجتمعون سوياً خلال عرض الـ VIP لفيلم Tazza يوم أمس 🔥✨.
يُذكر ان الموسم الثاني من المسلسل سيعرض في فبراير 2027" 🔥.
🌟 // فوز مستحق :
فاز الممثل بأول جائزة ديسانغ في مسيرته التمثيلية عن دوره في فلم The King's Warden في مهرجان دايجو للأفلام" ❤️🔥..
فاز الممثل Park JiHoon بأول ديسانغ في مسيرته التمثيلية عن دوره في فيلم The King's Warden في مهرجان ديجو للأفلام DFX OTT"
💬 // ممثل صوتي:
سيشارك الممثل تشو يونغ وو كممثل صوتي لفيلم الرسوم المتحركة "Stitch Head" 💗.
يروي هذا الفيلم قصة ستيتش هيد، وهو وحش صغير أصبح أول مخلوقات عالم مجنون في قلعة.
على الرغم منكونه معروفاً بأنه شخصية بريئة تريد أن تكون محبوبة، إلا أن ستيتش هيد يمتلك أيضاً الشجاعة لحماية القلعة وأصدقائه من الوحوش.
سيُعرض فيلم "Stitch Head" في دور السينما في 30 سبتمبر 💫.
⭐// شعبية كبيرة :
احتلت الدراما الصينية الشهيرة «The Early Spring» المرتبة الثانية على Netflix كوريا ضمن قائمة أفضل 10 أعمال غير ناطقة باللغة الإنجليزية، كما تحظى بشعبية كبيرة في كوريا ❤️🔥.
🎞|| مقتطفات :
أصدرت قناة tvN مقتطفات للممثلة سول إن آه من دراما "Love In Disguise" ، المقرر عرضها في 19 أكتوبر ❤️🔥.
القصة : تتخفى كانغ جاي هي، ضابطة الشرطة الماهرة والجندية السابقة في القوات الخاصة، كسكرتيرة ليون يي جون، وريث إحدى الشركات العائلية، المشتبه في ارتكابه جريمة قتل. ماذا سيحدث عندما يعترف رئيسها غريب الأطوار فجأةً بحبه ✨؟
⭐ // دراما تاريخية جديدة :
ستلعب الممثلة جيون سو يونغ و بارك جينيونغ (GOT7) دور البطولة في دراما تاريخية قادمة مقتبسة من الويبتون بعنوان «The Divine Tower of Hashi» ❤️🔥.
تدور أحداثها حول يي هيانغ، الملك العبقري في مملكة جوسون خلال القرن الخامس عشر، وها رو، امرأة غامضة تتمتع بقدرة على التنبؤ بالمستقبل، في قصة رومانسية تاريخية ❤️🔥..
🎬 // موعد العرض :
وفقاً للتقارير من المقرر أن تُعرض الدراما القادمة «Whale Star» على قناة tvN من بطولة تشوي وو شيك ومون غا يونغ وهيو نام جون، في أبريل 2027
تقع أحداث القصة في كوريا عام 1926 تحت الاحتلال الياباني، وتحكي عن فتاة شابة تُدعى سو آ تعمل خادمة في منزل عائلة موالية لليابان. في أحد الأيام، تعثر على ناشط مقاومة كوري مصاباً وتخفيه لحمايته، مما يورطها في عالم النضال ضد الاستعمار. مع الوقت، تنمو مشاعر بينها وبين…
Showing the 12 most recent of 167 posts we hold for @Kdramari. 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.
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 137%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 108%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 106%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 167 most recent posts we hold, published 30 July 2026 to 18 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 4 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 4 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
اقتباسات ، نصوص ، عبارات حزينه @w89999 · 100,283 Telegram ranks this channel #4 of 13 here — alongside 12 others — read 4 September 2026
افتارات ، كيدراما ، كدراما ، pov @rrdzr · 32,826 Telegram ranks this channel #6 of 19 here — alongside 18 others — read 4 September 2026
ملصقات | حزم مميزه | ايموجي مميز @uuBGu · 34,728 Telegram ranks this channel #8 of 8 here — alongside 7 others — read 4 September 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“اخبار كيدراما | Kdrama News” (@Kdramari), 69,665 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Kdramari.
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.