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Telegram profile photo for Японский язык | Яп🇯🇵нял

Channel

Японский язык | Яп🇯🇵нял

@tampopojapan

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

4,895subscribers

-15 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001633212737
TypeChannel
Username@tampopojapan
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/tampopojapan

Growth

4,8954,9104,902.57 August 2026 — 4,910 subscribers7 August 2026 — 4,910 subscribers8 August 2026 — 4,907 subscribers11 August 2026 — 4,901 subscribers14 August 2026 — 4,895 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net -15. 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 4,893–4,912 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 21:054,895-6
11 Aug 2026, 20:314,901-6
8 Aug 2026, 09:424,907-3
7 Aug 2026, 13:034,910no change
7 Aug 2026, 12:554,910first reading

Engagement

20 posts held, back to 5 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.19%
avg views ÷ 4,895 subscribers
Avg views / post
352
13 posts measured
Reaction rate
5.48%
reactions ÷ views · ER floor
Posts in window
13
of 20 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 11 August 2026
Posts held20 (5 July 202611 August 2026)
Views total4,578
Reactions total251
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:08 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

Video runtime
5m 28s
Average length
23s

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.

Reaction mix

413 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 33.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
13733.2%
😁11327.4%
🔥10224.7%
🥰245.81%
😢235.57%
👍122.91%
🤔20.484%

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 20 of the 20 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 413reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 5 July 2026 to 11 August 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

11 Aug 2026, 14:42 UTC189 views14 reactionsread 12 August 2026
Video

18🈲(じゅうはっきん jūhakkin) 18+ 😕😉😃😍☺️

😁9🔥41

Signed Alexandra Dyomkina

8 Aug 2026, 13:50 UTC335 views21 reactionsread 12 August 2026
Video

Адаптация японцев в России, по всей видимости, проходит успешно 👀 Грамматика: глагол ますmasu→たい tai «Хотеть что-то сделать» 🤩喰います kuimasu «есть, жрать» (грубо) 🤩乗りますnorimasu «садиться на транспорт, в данном случае на ….» _______________________________________ Мне почему-то кажется, что его заставили это сделать, но доказать я не могу😅

😁18🔥3

Signed Alexandra Dyomkina

8 Aug 2026, 08:00 UTC324 views15 reactionsread 12 August 2026
Video

Какой タイトル (tairoru) больше всего подходит к видео? ⚠️「いただきます」に気をつけて Будьте осторожны с «итадакимасу» ⚠️「いただきます」に夢中になりすぎないで Не слишком увлекайтесь «итадакимасу» Мне нравятся оба ⭐ Лексика: 🌟気をつける ki wo tsukeru «обращать внимание, быть осторожным» 🌟夢中になる muchū ni naru «увлечься, уйти с головой» 🌟 Vます+すぎる sugiru «слишком, чересчур» ________________________________ Если что, то видео делала не я - это 拾い画 hiroiga «

7😁6🔥2

Signed Alexandra Dyomkina

7 Aug 2026, 16:20 UTC291 views22 reactionsread 12 August 2026
Video

Когда не понимаешь, что сказали в аудировании, но всё равно решаешься повторить 😅 Мы так кстати в универе делали упражнение shadowing, правда там нужно было сразу повторять то, что говорит диктор, без пауз 😅

😁119🔥2

Signed Alexandra Dyomkina

5 Aug 2026, 15:15 UTC334 views14 reactionsread 12 August 2026
Video

Ну что, записались на Норёку, а теперь можно немного выдохнуть и с чистой совестью пасть на дно контента ДОМА 2 🥰 На видео моя «любимая» ошибка :) Хотя я ещё долго думала над tsukuru и tsukau)) А какая самая любимая 間違い machigai «ошибка» у вас?

😁9🔥5

Signed Alexandra Dyomkina

5 Aug 2026, 07:02 UTC332 views14 reactionsread 12 August 2026
Photo

Всем, кто планирует сдавать норёку зимой в Москве, пора регистрироваться 🤩 (в 12:00 по мск открывается регистрация) Места разбирают очень быстро, так что не затягивайте, если решили сдавать 6 декабря 2026 🤩

8🔥5👍1

Signed Alexandra Dyomkina

3 Aug 2026, 15:10 UTC372 views24 reactionsread 12 August 2026
Video

Когда ребёнок остался дома, а тебе нужно вести уроки как ни в чём не бывало 😅 子供が家にいるときの仕事風景 kodomo ga uchi ni iru toki no shigotofūkei 🌟仕事 shigoto «работа» 🌟風景 fūkei «пейзаж, картинка» _________________________________________ А как вы работаете, когда ребёнок рядом? 😅

😁145🔥3🥰2

Signed Alexandra Dyomkina

30 Jul 2026, 16:02 UTC421 views9 reactionsread 12 August 2026
Photo

В выходные провела на балконе 整理整頓 (seiriseiton) «расхламление и наведение порядка» Потом посмотрела на эту картинку и поняла, что уж очень не хватает одного элемента 🙂 シーシャを買うのに夫をどうやって説得(せっとく)するのが一番いいでしょうか? «Как убедить мужа купить кальян?» 🌟シーシャ shīsha «кальян» 🌟夫 otto «муж» 🌟買う kau «купить» 🌟説得する settoku suru «убедить» 🌟一番 いい ichiban ii «лучше всего» —————————————————— Я вам дала новую лексику, а вы мне

🔥4😁3🥰2

Signed Alexandra Dyomkina

29 Jul 2026, 07:34 UTC378 views23 reactionsread 12 August 2026
Forwarded from @ShamovDVideo

🇯🇵 Землетрясение в Кумамото: Новости Появились новые кадры момента взрыва в Aeon Mall, а также запись видео изнутри. На данный момент погибшими числятся 13 человек. Завалы еще продолжают разбирать. 9186 человек продолжают находиться в убежищах, которых работает на данный момент 506 штук по всей префектуре. Еще около 37 000 домов остаются без электричества, В ликвидации последствий землетрясения участвует несколь

😢23

Signed Alexandra Dyomkina

27 Jul 2026, 14:59 UTC389 views16 reactionsread 12 August 2026
Video

Подъехал чёрный юмор от Russian Babushka, хотя, мне кажется, она не шутит 😳😆 🔴 撥ねる haneru «сбить, задавить» 車に撥ねられた kuruma ni hanerareta «был сбит машиной». ИИшка прочитала ha, как wa, поэтому получилось ねられた 😆 🔴買いに行かせた kai ni ikaseta «отправила купить» (тут у нас побудительный залог seru-saseru «заставить кого-то что-то сделать» 🔴つもり tsumori «быть намеренным» 🔴じゃがいもを栽培する jagaimo wo saibai suru «выращивать карто

🔥8😁53

Signed Alexandra Dyomkina

26 Jul 2026, 09:00 UTC356 views37 reactionsread 12 August 2026
Video

ТО, ЧТО МНЕ ПОКАЗАЛОСЬ НЕОБЫЧНЫМ в Диснейлэнде ❤️ ❤️ Странные чуваки в возрасте +-40 лет, которые обкладываются игрушками и садятся на самое пекло. Приходя к открытию, они занимают место, чтобы оказаться в первом ряду, когда начнётся парад. Я спросила у японки, не считает ли она это странным? На что она односложно ответила: おたく otaku ❤️ Безумная тяга японцев к различным персонажам. Они готовы простоять в очереди ок

26😁7🔥4

Signed Alexandra Dyomkina

25 Jul 2026, 09:02 UTC410 views17 reactionsread 12 August 2026
Photo

Еда в ディズニーランド 🐻 🤩🍜 Холодный рамен с лимоном просто забрал моё сердце 💛 Это было очень вкусно и освежающе в такую жару! Буду искать этот рамен и в других местах, но, кажется, не найду:( 🍛 カレー (карри) был вкусным, но обычным (кроме желтка в форме Микки ). Подруга японка рассказала, что тоже готовила для своих детей яйца с желтком в форме Мики Мауса, и что это очень めんどくさい mendokusai «муторно» 🤩 Креативную моро

11🔥4🥰2

Signed Alexandra Dyomkina

Showing the 12 most recent of 20 posts we hold for @tampopojapan. 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 — 486,291 of 1,481,306entries 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 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.

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.

Удивительная Япония
@Japan_paradoks · 102,918
Telegram ranks this channel #64 of 65 here — alongside 64 others — read 15 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Японский язык | Яп🇯🇵нял” (@tampopojapan), 4,895 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/tampopojapan.

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.