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💋5

Channel
@Kr_yujin
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
8,360subscribers
+22 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001768113592 |
|---|---|
| Type | Channel |
| Username | @Kr_yujin |
| Description | ✨ آموزش رایگان زبانکُرهای با یوجینی 💌6سال سابقه تدریس زبان کرهای 🎀 از صفر تا صد با کمک کیپاپ و کیدراما 🎧 کیپاپ | 🎬 کیدراما | 📚 TOPIK | 💬 مکالمه روزمره ೇچنلهای زیرمجموعه 👉🏻 @yujin_channel ୨ 𝐌𝖾𝗌𝗌𝖺𝗀𝖾 𝐌𝖾 👉🏻 @YujiniBot ೇ |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/Kr_yujin |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 17:00 | 8,360 | -26 |
| 3 Nov 2026, 10:58 | 8,386 | +34 |
| 31 Oct 2026, 07:29 | 8,352 | +45 |
| 27 Oct 2026, 23:06 | 8,307 | -1 |
| 25 Oct 2026, 03:14 | 8,308 | -17 |
| 22 Oct 2026, 11:11 | 8,325 | -4 |
| 19 Oct 2026, 01:50 | 8,329 | -3 |
| 15 Oct 2026, 19:55 | 8,332 | -18 |
| 12 Oct 2026, 13:45 | 8,350 | -43 |
| 6 Oct 2026, 06:39 | 8,393 | -48 |
| 28 Sept 2026, 16:56 | 8,441 | +55 |
| 18 Sept 2026, 18:21 | 8,386 | +40 |
| 14 Sept 2026, 18:17 | 8,346 | -14 |
| 11 Sept 2026, 03:01 | 8,360 | -44 |
| 5 Sept 2026, 19:40 | 8,404 | -40 |
| 1 Sept 2026, 15:12 | 8,444 | -22 |
| 29 Aug 2026, 16:58 | 8,466 | +124 |
| 26 Aug 2026, 23:15 | 8,342 | -5 |
| 23 Aug 2026, 22:26 | 8,347 | -38 |
| 20 Aug 2026, 11:37 | 8,385 | first reading |
59 posts held, back to 20 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 35 pages of Telegram’s post history, 20 posts per page.
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 11 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 59 (20 July 2026 – 7 November 2026) |
| Views total | 5,098 |
| Reactions total | 239 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 01:44 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.
Lifetime counters from Telegram’s own channel header, read 8 November 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.
Measured directly from 14 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.
848 reactions across 44 posts, in 5 distinct kinds. The most used accounts for 32.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 271 | 32.0% | |
| 🍓 | 246 | 29.0% | |
| 💋 | 217 | 25.6% | |
| ⚡ | 89 | 10.5% | |
| 😭 | 25 | 2.95% |
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 44 of the 59 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 848 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 20 July 2026 to 7 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.
Telegram’s own ‘edited’ marker: 0 of 12 posts held from the last 30 days (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).
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💋5
هنوز کمه ری اکشن های پست 🫴🏼✨ بیشترش کنید
💋12😭3
مکالمه ساده کرهای با یوجین ✨🌸 ⊹ ू𓏲 ❀ ୭ુ ⊹ 👩🏻 우리 헤어지자. 더 이상 못 참겠어. ໑ ៸៸ بیا از هم جدا بشیم. دیگه نمیتونم تحمل کنم. 👦🏻 갑자기 또 왜 그래? 내가 뭘 잘못했는데? ໑ ៸៸ باز چرا یهدفعه اینطوری شدی؟ من چه اشتباهی کردم؟ 👩🏻 너 어제 집에 일찍 들어간다고 했지? ໑ ៸៸ تو دیروز گفتی زود میری خونه، مگه نه؟ 👦🏻 응. 너무 피곤해서 일찍 자려고 했어. 왜 그래? ໑ ៸៸ آره. خیلی خسته بودم و میخواستم زود بخوابم. چطور مگه؟ 👩🏻 거짓말하지 마. 너 어젯밤에 번화가에 있었잖아…
❤🔥21🍓17💋4😭2
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🍓2
𝙎𝙥𝙤𝙤𝙠𝙮 𝙆𝙤𝙧𝙚𝙖 🎃🍷໑ ⊹ ू𓏲 ❀ ୭ુ ໑ ⊹ 👤 몽달귀신 | روح مرد مجرد در افسانههای کرهای به روح مردیه که قبل از ازدواج از دنیا رفته. در واقع میشه گفت همزاد مرد 처녀귀신 محسوب میشه.☁️ طبق باورهای قدیمی، چون این افراد فرصت ازدواج و تشکیل خانواده رو پیدا نکردن، ممکنه روحشون با حسرت و ناراحتی در دنیای زندگان باقی بمونه.☠ در بعضی از روایتها، برای اینکه این روحها به آرامش برسن، مراسم ازدواج نمادین …
❤🔥18💋5⚡4🍓1
𝙎𝙥𝙤𝙤𝙠𝙮 𝙆𝙤𝙧𝙚𝙖 🎃🍷໑ ⊹ ू𓏲 ❀ ୭ુ ໑ ⊹ 🦊 구미호 | روباه نهدم کومیهـو یکی از موجودات جادویی و معروف افسانههای کرهایه که در واقع یه روباه با ۹ تا دمه! میتونه خودش رو به شکل یه انسان،، دربیاره و بین آدمها زندگی کنه.🔥 در افسانههای قدیمی، معمولاً موجودی مرموز و خطرناکه که به دنبال انرژی یا جگر انسانهاست. اما توی سریالها و داستانهای جدید، بعضی وقتها آرزو داره به یه انسان واقعی تبدیل بش…
❤🔥13💋4⚡3🍓1
.𝙎𝙥𝙤𝙤𝙠𝙮 𝙆𝙤𝙧𝙚𝙖 🎃🍷໑ ⊹ ू𓏲 ❀ ୭ુ ໑ ⊹ 👻 처녀귀신 | روح دختر جوان یکی از معروفترین روحهای افسانهای کرهایه که به روح دختری گفته میشه که قبل از ازدواج از دنیا رفته.🖤 معمولاً با لباس سفید سنتی کرهای (한복) و موهای بلند و باز مشکی به تصویر کشیده میشه.💔 طبق افسانهها، بهخاطر آرزوهای برآوردهنشده و غمهایی که با خودش داشته، هنوز نتونسته از دنیای آدمها جدا بشه. گاهی هم در داستانها بهدنبا…
❤🔥13💋5⚡2
𝙎𝙥𝙤𝙤𝙠𝙮 𝙆𝙤𝙧𝙚𝙖 🎃🍷໑ ⊹ ू𓏲 ❀ ୭ુ ໑ ⊹ 👹 도깨비 | گابلین گابلین یکی از موجودات افسانهای قدیمی کرهایه که نه کاملاً انسانه و نه روح! میگن قدرتهای ماورایی و جادویی داره و میتونه نامرئی بشه یا شکلش رو تغییر بده. معمولاً با یه گرز جادویی شناخته میشه که باهاش میتونه چیزهای مختلفی خلق کنه. توی داستانهای قدیمی کرهای گاهی آدمها رو به چالش میکشه، اذیتشون میکنه یا حتی بهشون هدیه میده! ب…
🍓12❤🔥6⚡2💋1
𝙎𝙥𝙤𝙤𝙠𝙮 𝙆𝙤𝙧𝙚𝙖 🎃🍷໑ ⊹ ू𓏲 ❀ ୭ુ ໑ ⊹ 🖤 저승사자 | فرشته مرگ فرشته مرگ توی افسانههای کرهای کسیه که روح آدمهایی رو که از دنیا رفتن، همراهی میکنه. معمولاً لباس مشکی میپوشه و کلاه سنتی کرهای به سر داره. کارش اینه که روحها رو به دنیای بعد از مرگ ببره. توی سریالها گاهی شخصیتی مرموز، سرد و حتی کیوت داره! 🪻໑ ៸៸ #Halloween ៸៸ #Spooky_Korea ៸៸ ⊹ ݼنل زبانکُرهاے با یوجین🌷 …
❤🔥15🍓6⚡3💋1
به مناسبت هالووین 🎃🍷 ⊹ ू𓏲 ❀ ୭ુ ໑ ⊹ 🎃 بیاین روحهای غربی هالووینی رو بیخیال شیم! 👻 و با ترسناکترین موجودات کره آشنا آشنا بشیم~!໑ ៸៸ #Halloween ៸៸ #Spooky_Korea ៸៸ ⊹ ݼنل زبانکُرهاے با یوجین🌷 ៸៸ گروه زبانکُرهاے 🇰🇷 ⊹
💋11❤🔥7🍓4⚡1
🐣 زبانکُرهای با وبتون ໑ 🖤👩🏻🦱 : 🇰🇷 한 입 먹어도 돼? میشه یه گاز بخورم؟ 👱🏻♀️💛 : 🇰🇷 그래, 대신 딱 한 입만 먹어. باشه، اما در عوض فقط یه گاز بزن. 🖤👩🏻🦱 : 🇰🇷 고마워. ممنون. 👱🏻♀️💛: 🇰🇷 이게 어떻게 한 입이야?!! این چطوری یه گازه؟!! 🖤👩🏻🦱: 🇰🇷 미안. ببخشید. 🖤👩🏻🦱 : 🇰🇷 내 입이 좀 커. دهن من یکم بزرگه. 👄✨ 𝅄 ⏔⏔⏔⏔⏔⏔⏔𐙚⏔⏔⏔⏔⏔⏔⏔ 𝅄 کلماتی که یادگرفتیم ໑ 한 입 ✨️ ៸៸یک لقمه / یک گاز 그래 🕳 ៸៸آره / باشه 대신 ✨️ ៸៸اما / در عوض / به شرطی که 딱 🕳 ៸៸دقیقاً …
💋26❤🔥4⚡2😭2🍓1
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Showing the 12 most recent of 59 posts we hold for @Kr_yujin. 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.
We recorded 5 posts on @Kr_yujin 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 2 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.
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.
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.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“⌟زبان کرهای با یوجیـن🇰🇷⌜” (@Kr_yujin), 8,360 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/Kr_yujin.
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.