Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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
27 measurements spanning 52 days, net -3,430. 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 92,284–96,755 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
5 Oct 2026, 16:18
92,809
+9
30 Sept 2026, 01:58
92,800
-972
18 Sept 2026, 03:39
93,772
-119
15 Sept 2026, 20:17
93,891
-56
14 Sept 2026, 00:58
93,947
-127
12 Sept 2026, 04:17
94,074
-150
10 Sept 2026, 00:36
94,224
-216
6 Sept 2026, 18:41
94,440
-154
4 Sept 2026, 05:37
94,594
-83
2 Sept 2026, 20:07
94,677
-84
1 Sept 2026, 17:47
94,761
-96
31 Aug 2026, 19:35
94,857
-78
30 Aug 2026, 16:27
94,935
-127
29 Aug 2026, 18:13
95,062
-92
28 Aug 2026, 18:18
95,154
-64
27 Aug 2026, 18:47
95,218
-33
26 Aug 2026, 17:04
95,251
-90
25 Aug 2026, 17:52
95,341
-59
24 Aug 2026, 20:25
95,400
-128
23 Aug 2026, 06:56
95,528
first reading
Engagement
53 posts held, back to 17 May 2023 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 110 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.49%
avg views ÷ 92,809 subscribers
Avg views / post
2,310
51 posts measured
Reaction rate
0.385%
reactions ÷ views · ER floor
Posts in window
51
of 53 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
53 (17 May 2023 – 6 October 2026)
Views total
117,787
Reactions total
453
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Oct 2026, 02:24 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
42
Videos
3
Links
1
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. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
3m 03s
Average length
31s
Measured directly from 6 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
937 reactions across 52 posts, in 23 distinct kinds. The most used accounts for 51.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
482
51.4%
🔥
181
19.3%
👍
107
11.4%
👨💻
71
7.58%
⚡
32
3.42%
🥰
26
2.77%
😭
9
0.961%
🌚
5
0.534%
😱
5
0.534%
🆒
4
0.427%
🎄
2
0.213%
🕊
2
0.213%
☃
1
0.107%
👀
1
0.107%
👌
1
0.107%
👏
1
0.107%
💅
1
0.107%
💔
1
0.107%
😐
1
0.107%
😨
1
0.107%
3 further kinds
3
0.32%
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 52 of the 53 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 937 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 17 May 2023 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.
Upcoming comedy movie #UglyDucklingMsMaeng drops trailer, confirming 28 October domestic release. The movie focuses on the story of CSAT preparation from exam makers POV, and stars #LeeSunbin #YooJaemyung #KimYoungmin #JunSukho
🪼join us @ifpremium
#LeeYooJin and actress #ChaGyeongEun to marry in November, set to become brothers-in-law with #JangDongYoon.
According to reports, Actor Lee Yoo-jin, 34, and actress Cha Gyeong-eun have confirmed that they will get married on November 14, 2026. The wedding will also create a family connection with actor Jang Dong-yoon, who is set to marry #KimSeungYoon this month.
Cha Gyeong-eun’s real name is Kim Gyeong-eun, and s…
Upcoming slice-of-life legal drama, <Divorce Investigator, Hong Mal Geum>, is confirmed to premiere in 1st half of 2027 and have #LeeBoyoung #KangTaeoh as leads. Story revolves around a divorced woman who meets various cases as she works in family court
🪼join us @ifpremium
⚡️'DOCTOR X: MAFIA IN WHITE' (2026) - Upcoming Korean Medical Mystery Thriller Drama!😍
📑A brilliant, fearless surgeon enters a corrupt hospital where medical politics, power struggles, and dirty games are everywhere. She’s determined to do things her way.
📍NOTE: It’s A Korean Remake Of The Popular Japanese Medical Drama Doctor-X: Surgeon Michiko Daimon.✌️
👉 Season 1 [12 Episodes] Confirmed To Release In #English &…
⚡️'CITY OF ROMANCE' (2025) - A Chinese Rom-Com Drama!😍
👉 Season 1 [All 22 Episodes] Now Streaming In #Hindi & Chinese Languages On #AmazonPrimeVideo !!🔥
@ifpremium #update
Youku drama #TheEarlySpring starring #JingBoran #SunQian breaks 44.68M average views per episode during its hot broadcast period, as per Yunhe data.
It becomes the solo platform drama with the highest average views per episode in its hot broadcast period in 2026 (Yunhe data).
🪼join us @ifpremium
#LuYuxiao as Nan Yi and #TanJianci as Xie Que Shan: flawless looks, incredible chemistry, and the perfect love/hate dynamic in #DancingWithTheTide
🪼join us @ifpremium
According to this leaked Hunan TV program schedule, MGTV drama #TheLamentOfAutumn starring #ChengLei #XuRuohan will premiere on October 11.
🪼join us @ifpremium
⚡️'100 DAYS OF DECEPTION' (2026) - Upcoming Korean Historical Romantic Spy Action Thriller Drama!😍
📑Set in 1932 Gyeongseong, a skilled pickpocket goes undercover as an interpreter trainee for the independence movement, only to cross paths with a mysterious interpreter hiding secrets of his own.
👉 Season 1 [16 Episodes] Confirmed To Release On Netflix From October 10, 2026 In Korean Language Only !!🔥
- It’s Directe…
🍉 Youku costume drama #七星彩
• Based on the novel 七星彩 (7 stars) by 明月珰 (Ming Yue Dan)
• Cast: #JuJingyi #ZengShunxi
Romance, aristocratic family intrigue, enemies-to-lovers; FL daughter of a wealthy merchant x ML young master of an aristocratic household.
🪼join us @ifpremium
#ChengLei & #XuRuohan’s #TheLamentOfAutumn double-platform reservations hit 3 million.
🪼join us @ifpremium
🔥5❤1
Showing the 12 most recent of 53 posts we hold for @Dramaif. 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 1 registered channel — 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.
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
@Dramaif 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.
@admin named in 3 posts, 15 August 2026 – 18 August 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 5 October 2026 — this
entry's latest reading, not the date you are reading this.
“KDrama Eng Sub” (@Dramaif), 92,809 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/Dramaif.
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.