Education — 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 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 the other topics.
Growth
56 measurements spanning 90 days, net -929. 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 59,905–61,238 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
5 Nov 2026, 19:18
60,087
+4
4 Nov 2026, 21:47
60,083
+24
4 Nov 2026, 00:30
60,059
-39
2 Nov 2026, 21:29
60,098
-36
1 Nov 2026, 22:01
60,134
-29
1 Nov 2026, 00:10
60,163
-63
31 Oct 2026, 00:17
60,226
-43
30 Oct 2026, 03:16
60,269
-37
29 Oct 2026, 06:34
60,306
-30
28 Oct 2026, 04:50
60,336
-65
27 Oct 2026, 07:19
60,401
-12
26 Oct 2026, 06:29
60,413
-52
25 Oct 2026, 09:35
60,465
-32
24 Oct 2026, 09:35
60,497
-28
23 Oct 2026, 06:34
60,525
-34
22 Oct 2026, 06:16
60,559
-7
21 Oct 2026, 01:39
60,566
-14
19 Oct 2026, 23:46
60,580
-24
18 Oct 2026, 20:20
60,604
-9
16 Oct 2026, 21:40
60,613
first reading
Engagement
75 posts held, back to 2 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 205 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.99%
avg views ÷ 60,087 subscribers
Avg views / post
6,000
25 posts measured
Reaction rate
2.19%
reactions ÷ views · ER floor
Posts in window
25
of 75 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 November 2026
Posts held
75 (2 August 2026 – 6 November 2026)
Views total
150,060
Reactions total
3,279
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 14:29 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
≈2,160
Videos
≈910
Links
≈226
Lifetime counters from Telegram’s own channel header, read 6 November 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
1m 22s
Average length
9s
Measured directly from 9 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
11,767 reactions across 75 posts, in 14 distinct kinds. The most used accounts for 63.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
7,520
63.9%
🔥
2,443
20.8%
👍
659
5.60%
🥰
422
3.59%
🤣
316
2.69%
💯
220
1.87%
👏
45
0.382%
😍
45
0.382%
😁
40
0.34%
🤩
18
0.153%
🤯
14
0.119%
🎉
11
0.093%
😱
8
0.068%
😢
6
0.051%
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 75 of the 75 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 11,767 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 75 most recent posts we hold, published 2 August 2026 to 6 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 14 of 25 posts held from the last 30 days (56.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Начала смотреть дораму 꿀알바, и тут как раз в первой серии попалась очень крутая грамматика, которая ставит в тупик многих изучающих корейский
내가 갈 테니까 너 빨리 걸레질해 - поскольку я пойду (проверить инвентарь), ты быстро протри (пол)
걸레질하다 - протирать тряпкой
Основа глагола + (으)ㄹ 테니까 - поскольку/так как…
Использований у грамматики может быть несколько, но сегодня мы пройдем ее только в значении из дорамы: сообщаем собес…
Очень жизненный мем…
두 달 뒤면 2027년인데 나 올해 대체 뭐 했냐 - через два месяца уже 2027 год, а я вообще чем, черт возьми, в этом году занимался?
달 - месяц, 년 - год, 올해 - этот год, 뭐 - что, 하다 - делать
Существительное + 뒤면 - через/когда пройдет…
1시간 - 1시간 뒤면 - через час/когда пройдет 1 час
일주일 - 일주일 뒤면 - через неделю/когда пройдет 1 неделя
1년 - 1년 뒤면 - через год/когда пройдет 1 год
Примеры предложений:
🔵한 시간 뒤면 수업이 끝나요 - ч…
🇰🇷🇨🇳Учите корейский? Тогда некоторые китайские слова могут показаться вам знакомыми!
Корею и Китай связывает многовековая история. У двух стран есть общие языковые корни, похожие традиции и даже блюда. Подробнее рассказали в карточках.
А в @ChilanSchool мы рассказываем о китайском языке, разбираем сленг и живые выражения, делимся трендами и новостями, а ещё говорим об учёбе в Китае.
🔗Подписывайтесь на @ChilanSchoo…
Не путайте эти корейские слова: 차다, 차갑다 и 춥다 🤩
차다 - холодный
Используется, когда мы говорим о температуре чего-то
물이 차요 - вода холодная
손이 차요 - руки холодные
발이 차요 - ноги холодные
차갑다 - холодный/хладнокровный
Подходит и для описания чего-то холодного на ощупь, но также и для описания хладнокровного/равнодушного характера, взгляда, поведения, отношения, голоса и т.д.
물이 차가워요 - вода холодная
몸이 차가워요 - тело холодн…
Корейский, которому не научат в учебниках 👋
На случай важных переговоров
Курс первого уровня
Курс второго уровня
Курс третьего уровня
1600+ слов в инфографике
Разговорная грамматика в инфографике
8 способов сравнить что-то на корейском
🔵Существительное + 보다 - чем
Самая базовая конструкция для сравнения. Обычно используется в паре с 더 (более/больше) или 덜 (менее/меньше).
친구 → 친구보다 - чем друг
한국 → 한국보다 - чем Корея
저는 커피보다 차를 더 좋아해요 - я люблю чай больше, чем кофе
영어는 한국어보다 덜 어려워요 - английский менее сложный, чем корейский
🔵Существительное + 에 비하면 - если сравнить с…
한구 → 한국에 비하면 - если сравнить с Кореей
나 →…
Не знаю как у вас, но у меня осень всегда на каком-то супер стрессовом режиме
Поэтому предлагаю пройти полезную лексику на эту тему:
스트레스 - стресс
스트레스를 받다 - испытывать стресс
스트레스가 쌓이다 - стресс накапливается
스트레스를 풀다 - снимать стресс
신경이 쓰이다 - что-то беспокоит
신경이 곤두서다 - быть на взводе
압박감 - чувство давления
불안 - тревога/беспокойство
불안을 느끼다 - испытывать тревогу
지치다 - измотаться
녹초가 되다 - выбиться из сил/быть выжат…
ВПЕРВЫЕ В НАШЕЙ ШКОЛЕ! МАРАФОН ПО 3 ГЫПУ В ИГРОВОМ ФОРМАТЕ 🇰🇷
Кто сказал, что изучать корейский на уровнях выше - это скучно, сложно и обязательно с кучей учебников? 👀
Мы решили полностью изменить привычный формат обучения и превратить изучение 3-го гыпа в настоящую интерактивную историю!
Представьте: вы - девушка, которая только что поступила в университет в Сеуле. Впереди новая страна, университетские будни, зна…
12 выражений со словом 마음, которые сделают вашу речь чуть интереснее
Вообще 마음 - это “душа/сердце/внутреннее состояние/чувство”
🔵마음을 먹다 - решиться (먹다 - есть. Дословно: съесть сердце)
한국어를 배우기로 마음을 먹었어요 - я решила учить корейский
🔵마음을 놓다 - успокоиться/перестать переживать (놓다 - отпускать/выпускать. Дословно: отпустить сердце)
이제 마음을 놓아도 돼요 - теперь можно успокоиться
🔵마음에 들다 - нравиться/быть по душе (들다 - входит…
Кто сказал, что говорить длинными предложениями на корейском сложно?
На самом деле все очень-очень просто. Главное, заучить подобные грамматические цепочки
Цепочка 1: Собирался что-то сделать, но по каким-то причинам не получилось
Схема: Намерение → препятствие → результат
Ситуация: я собирался пойти на пикник, но пошел дождь и в результате я не пошел
Намерение: пикник / препятствие: дождь / результат: не пошел
…
❤80🔥23🥰10
Showing the 12 most recent of 75 posts we hold for @koreanlanguage2023. 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
@koreanlanguage2023 edited 23 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
11 August 2026
Most recent edit
5 November 2026
Posts recorded as deleted after publishing
We recorded 26 posts on @koreanlanguage2023 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
7 August 2026
Most recent seen missing
5 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
10
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.
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
@koreanlanguage2023 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.
@polyglotlvlbot named in 2 posts, 15 September 2026 – 16 September 2026
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.
Школа корейского языка MKDS @mkds_school · 7,183#1
Read from Telegram’s recommendation API, most recently 22 August 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.
Кимчи и Лирата 🥬 @kimchi_lyrata · 18,637 Telegram ranks this channel #2 of 71 here — alongside 70 others — read 5 October 2026
Школа корейского l Korean Simple @ksdemo · 25,322 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 13 September 2026
SAN KOREAN Школа корейского языка САН @san_korean · 20,153 Telegram ranks this channel #3 of 76 here — alongside 75 others — read 28 September 2026
Duolingo Community @english_duolingo · 49,305 Telegram ranks this channel #18 of 74 here — alongside 73 others — read 25 August 2026
Вся Корея @vsya_korea · 61,125 Telegram ranks this channel #18 of 84 here — alongside 83 others — read 22 August 2026
🇰🇷 Корейский Культурный Центр @kculturerus · 18,992 Telegram ranks this channel #20 of 81 here — alongside 80 others — read 5 October 2026
Александр Снитовский | Корея @snitovskii · 23,568 Telegram ranks this channel #22 of 73 here — alongside 72 others — read 16 September 2026
FoodKor @foodkorchannel · 24,597 Telegram ranks this channel #24 of 77 here — alongside 76 others — read 15 September 2026
Корея🇰🇷 @KoreanThing · 19,025 Telegram ranks this channel #27 of 74 here — alongside 73 others — read 30 September 2026
Китайский язык с китиками @kittychinaa · 28,245 Telegram ranks this channel #31 of 93 here — alongside 92 others — read 9 September 2026
SOFTBOX LIVE @softboxlive · 33 Telegram ranks this channel #31 of 63 here — alongside 62 others — read 26 August 2026
Корея 🎐 | Ты не знал этого! @Korea_hangugo_house · 18,693 Telegram ranks this channel #32 of 76 here — alongside 75 others — read 1 October 2026
Dorama live news @DoramaLiveInfo · 32,808 Telegram ranks this channel #33 of 66 here — alongside 65 others — read 4 September 2026
🇰🇷 Korean Language | 한국 🇰🇷 @korean_language_kpop_dorama · 62,084 Telegram ranks this channel #35 of 78 here — alongside 77 others — read 21 August 2026
Nihongo - Японский язык @yaponskoe · 21,623 Telegram ranks this channel #36 of 74 here — alongside 73 others — read 22 September 2026
Daigaku - Японский язык @daigaku · 20,186 Telegram ranks this channel #37 of 87 here — alongside 86 others — read 27 September 2026
천지일보 독자알림창 @cheonjiilbo · 19,696 Telegram ranks this channel #43 of 65 here — alongside 64 others — read 30 September 2026
eat, sleep & kdrama | дорамы @eatsleepkdrama · 33,277 Telegram ranks this channel #43 of 72 here — alongside 71 others — read 3 September 2026
Английский язык 🇬🇧 @dailyeng · 72,767 Telegram ranks this channel #43 of 87 here — alongside 86 others — read 19 August 2026
Китайский язык @chinese_lingvistika_slovar · 57,025 Telegram ranks this channel #44 of 90 here — alongside 89 others — read 23 August 2026
Дневник Бо Хян @Bonyabohyun · 52,013 Telegram ranks this channel #48 of 75 here — alongside 74 others — read 24 August 2026
Английский с Курчановым @kurchanov · 24,051 Telegram ranks this channel #50 of 77 here — alongside 76 others — read 16 September 2026
Английский с нуля | Английский язык @EnglishBestChannel · 160,028 Telegram ranks this channel #66 of 81 here — alongside 80 others — read 12 August 2026
This channel appears in 23 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Корейский язык 🇰🇷” (@koreanlanguage2023), 60,087 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/koreanlanguage2023.
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.