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Channel

JIKJIN | чикчин

@jikjinstudies

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

276subscribers

-4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002339480282
TypeChannel
Username@jikjinstudies
CreatedBetween 1 September 2024 and 24 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/jikjinstudies

Growth

2762802786 August 2026 — 280 subscribers6 August 2026 — 280 subscribers14 August 2026 — 276 subscribers6 August 202614 August 2026
3 measurements spanning 8 days, net -4. 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 275–281 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 02:17276-4
6 Aug 2026, 23:30280no change
6 Aug 2026, 12:01280first reading

Engagement

10 posts held, back to 24 March 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
50.7%
avg views ÷ 276 subscribers
Avg views / post
140
1 post measured
Reaction rate
14.3%
reactions ÷ views · ER floor
Posts in window
1
of 10 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
WindowRolling 30 days · latest post in window 24 July 2026
Posts held10 (24 March 202524 July 2026)
Views total140
Reactions total20
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 23:30 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.

Reaction mix

518 reactions across 10 posts, in 28 distinct kinds. The most used accounts for 24.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12524.1%
custom 5211050538535243286366.95%
custom 5240405871204252409336.37%
custom 5325881892262665140336.37%
custom 5273993211243675496305.79%
custom 5269504459318256204275.21%
custom 5330272482710543604214.05%
custom 5456631112048599124214.05%
🍓183.47%
custom 5325596650599636554173.28%
custom 5285233630283586156152.90%
custom 5325558502700113951152.90%
custom 5251352604675428315142.70%
custom 5312403434484287264142.70%
custom 5255762840303717402132.51%
🔥132.51%
custom 5211106905686038170122.32%
custom 5411281338349148911122.32%
custom 5413860620829217316101.93%
custom 522245831097583847971.35%
8 further kinds326.18%

Custom emoji. 17 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 10 of the 10 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 518reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 24 March 2025 to 24 July 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

24 Jul 2026, 16:47 UTC140 views20 reactionsread 6 August 2026
Forwarded from @tarusalistPhoto

Неделя Кореи в Тарусе 🇰🇷 Этим летом Ева Бруни и школа Jikjin приглашают детей в тематический дневной лагерь, посвященный корейской культуре. Ребята познакомятся с языком, попробуют приготовить простые блюда, погрузятся в культуру страны, будут играть, общаться и проводить время в тёплой дружеской атмосфере. Это отличная возможность разнообразить каникулы, найти новых друзей, узнать что-то новое и открыть для себя

🔥9custom 52224583109758384796custom 53347772033243659073❤‍🔥1🙏1

9 May 2025, 17:53 UTC≈2,460 views63 reactionsread 6 August 2026
Photo

🍀 風薫る — «ароматный ветер» ‘ [kazekaoru] одно из сезонных слов в японской поэзии, особенно хайку. так называют лёгкий тёплый ветер мая, который несёт ароматы свежей зелени, молодой травы, цветущих деревьев 🌳 𖧷˚🌟 #japan #dictionary@jikjinstudies •

custom 527399321124367549630custom 528523363028358615615🍓97🔥1custom 52224583109758384791

5 May 2025, 10:43 UTC970 views51 reactionsread 6 August 2026
Photo

🍵 • сейчас сезон весеннего чая в Китае, поэтому, если вы любите чай — май для вас особенный 🌿 в Китае в это время собирают самые нежные и ароматные листочки чая, из которых делают весенний чай 明茶 [míngchá]. он мягкий, сладковатый и считается самым ароматным и ценным. чайные листочки собирают вручную и очень бережно обрабатывают — особенно в случае элитных сортов. чаще всего весенними считают зелёный чай, белый чай и

23custom 525135260467542831514custom 525576284030371740213🔥1

1 May 2025, 17:23 UTC≈1,050 views49 reactionsread 6 August 2026
Photo

— уже май 🤌🌱 почти половина года позади! может, добавить по 5 минут к изучению языка? или попробовать смотреть дораму без субтитров? может, просто напомнить себе: я молодец, что продолжаю 🤍 а может, записаться на урок к одному из наших учителей ссылке в закрепе 👀

custom 52695044593182562042711custom 53258818922626651407❤‍🔥4

7 Apr 2025, 18:17 UTC≈1,050 views58 reactionsread 6 August 2026
Photo

любите лапшу? 😔 тогда вот вам небольшой гайд по «лапшичному этикету» в Азии ⋆ ✴︎˚。⋆ 🍜 прихлёбывание – еду там принято есть со звуками, так что всасывание лапши считается вполне нормальным и даже показывает, что вам вкусно 🍜 есть из кастрюли – в Корее это обычное дело, особенно дома или в компании друзей: достали кастрюлю, поставили на стол или пол, и вперёд 🍜 палочки – наше всё, но не забываем про тонкости: 🌷 • не

custom 532588189226266514026custom 53255966505996365541713👍1💘1

4 Apr 2025, 19:14 UTC757 views42 reactionsread 6 August 2026
Photo

💭фестиваль пионов в Лояне 🌺 каждую весну — с начала апреля до начала мая — в китайском городе Лоян проходит знаменитый фестиваль пионов, посвящённый этому роскошному цветку, который считается символом богатства и благополучия в китайской культуре 🌷🌱 🤩 сады города наполняются тысячами цветов, среди которых есть редкие сорта, например, «чёрного пиона». также в этот период устраиваются выставки, шествия в традиционных

custom 54566311120485991242111custom 53259931576854343447💋3

1 Apr 2025, 20:12 UTC712 views70 reactionsread 6 August 2026
Photo

уже и март пролетел 🤩 🤩 хочется с вами немного пообщаться, как продвигается ваше изучение языков? главное помнить – даже маленькие шаги ведут к прогрессу 🌟🌟*

custom 52404058712042524093320custom 531240343448428726414💋3

29 Mar 2025, 09:10 UTC890 views51 reactionsread 6 August 2026
Photo

• вы когда-нибудь пробовали стритфуд в Китае? 🥟 прогулка по местным улочкам может превратиться в целое приключение, ведь на каждом шагу можно найти огромное разнообразие уличной еды 🌲,🍛 *️⃣собрали для вас наш топ блюд, которые стоит попробовать в первую очередь 🍜 #food@jikjinstudies #china 🌟

custom 533027248271054360421custom 532555850270011395115🍓94🔥2

26 Mar 2025, 11:30 UTC809 views65 reactionsread 6 August 2026
Photo

уже конец марта, а это значит, что сезон ханами (花見) — любование сакурой, в самом разгаре! 🌸 🌸 🤩 а ведь в Корее тоже цветёт вишня! там этот сезон известен как потккот нори (벚꽃놀이) — в буквальном смысле «веселье под вишней». как и в Японии, парки и улицы покрываются нежно-розовыми цветами, создавая сказочную атмосферу, а люди устраивают пикники 🧺•🌟• 🤩 в Японии в это время особенно популярны ханами-данго (団子) — разноц

custom 521105053853524328636custom 5211106905686038170129🕊6👍2

24 Mar 2025, 16:01 UTC716 views49 reactionsread 6 August 2026
Photo

• тренд на винтажную эстетику в Японии 🎞 🤩 последние пару лет японская молодёжь снова стала вдохновляться стилем прошлых десятилетий — от нарядов 80-х до мягких пастельных оттенков 60-х 📸 ; популярны аналоговые фотоаппараты и приложения, создающие эффект плёнки, а city pop – японский диско-фанк 80-х, снова захватывает чарты. этот стиль называют "новой ностальгией", что думаете об этом тренде? 💿‘🎶 #japan@jikjinstu

27custom 541128133834914891112custom 541386062082921731610

Showing the 10 most recent of 10 posts we hold for @jikjinstudies. 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.

Citation-graph rank

Citation-graph rank — 936,034 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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.

Mentions

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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“JIKJIN | чикчин” (@jikjinstudies), 276 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/jikjinstudies.

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.