Мы помогаем осуществить мечту о Японии через оформление в языковые школы, сопровождение и переезд.
Бесплатные консультации и оформление на учебу: @georgiitokyotrip
Канал с отзывами: @tokyotrip_reviews
Сайт: tokyotrip.ru
Created
Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Travel — 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 91% 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
25 measurements spanning 93 days, net -220. 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 9,236–9,636 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
7 Nov 2026, 09:56
9,368
+38
4 Nov 2026, 01:01
9,330
+48
31 Oct 2026, 17:06
9,282
-2
28 Oct 2026, 19:50
9,284
-20
26 Oct 2026, 03:57
9,304
-2
23 Oct 2026, 00:39
9,306
-18
19 Oct 2026, 14:04
9,324
-2
16 Oct 2026, 14:28
9,326
-28
13 Oct 2026, 09:59
9,354
-9
6 Oct 2026, 21:16
9,363
-21
29 Sept 2026, 15:15
9,384
-20
19 Sept 2026, 01:57
9,404
-4
14 Sept 2026, 21:00
9,408
-14
10 Sept 2026, 21:41
9,422
-28
5 Sept 2026, 10:18
9,450
-25
1 Sept 2026, 22:55
9,475
-31
30 Aug 2026, 02:45
9,506
-22
26 Aug 2026, 22:53
9,528
-35
23 Aug 2026, 22:25
9,563
-2
20 Aug 2026, 04:54
9,565
first reading
Engagement
24 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.3%
avg views ÷ 9,368 subscribers
Avg views / post
1,900
8 posts measured
Reaction rate
5.34%
reactions ÷ views · ER floor
Posts in window
8
of 24 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 8 November 2026
Posts held
24 (2 August 2026 – 8 November 2026)
Views total
15,237
Reactions total
813
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 22:50 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
≈1,820
Videos
≈120
Links
≈292
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. 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
6m 54s
Average length
2m 18s
Measured directly from 3 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
2,275 reactions across 24 posts, in 19 distinct kinds. The most used accounts for 39.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
907
39.9%
❤🔥
413
18.2%
😁
181
7.96%
😍
157
6.90%
custom 5296711981921754648
147
6.46%
custom 5289771215987164966
132
5.80%
🥰
119
5.23%
🔥
69
3.03%
😭
66
2.90%
👍
19
0.835%
👏
17
0.747%
🎉
10
0.44%
🤔
10
0.44%
custom 5389022378279842177
9
0.396%
🤩
9
0.396%
🍾
4
0.176%
⚡
2
0.088%
🏆
2
0.088%
👀
2
0.088%
Custom emoji. 3 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 are Telegram’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 24 of the 24 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 2,275 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 2 August 2026 to 8 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: 0 of 8 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).
📺🧢 Vlog из летнего лагеря: Как мы провели лето мечты в Японии 🌊🇯🇵
Погружаемся в ностальгию по лету и уже скучаем!
📺 Смотреть на YouTube
💙 Смотреть в VK
>> 🌊 Хотите с нами следующим летом? Ранняя бронь уже открыта: подробнее на сайте
pov: вам дают машину и 3 месяца лета в Японии 🇯🇵🚙🌊
В машину помещаются все ваши друзья, а маршрут вы придумываете сами
Куда едем? В каких городах зависаем надолго? Где ночуем?
пишите в комментах 👎
может, подчерпнем идеи для лагеря и устроим летом!
🏮Замечали, какие уютные в Японии улочки ночью? Дело не только в красивых закатах, а в аккуратном теплом освещении
В Японии даже проводили эксперимент: на одной улице выключили фонари и оставили только освещение магазинов
Света стало в 2 раза меньше, но 80% прохожих всё равно чувствовали себя комфортно
🌙🤩Сейчас бы гулять там ночью без всякого маршрута, а не вот это всё… 😭
~ так что сделали для вас обои с этой атмо…
🇰🇷🇯🇵 А может, все-таки Корея лучше Японии? 👀 Давайте обсудим!
(и что это выбор говорит про вас самих)
Нас тут много японоведов и корееведов, так что тема горячая и интересная! 🔥
Ну смотрите. Страны очень похожи. Безопасность, удобные города, мода и технологии, чувство эстетики и там и там на высоком уровне
Но есть одно интересное различие!
Корея во многом про новое, а Япония про старое, но выверенное временем (в…
😭🍙 ВЕЧНЫЙ СПОР: 7-Eleven VS FamilyMart VS Lawson?
Кажется, у каждого, кто хоть раз был в Японии, есть любимый конбини!
Потому что у каждой японской сети есть свои легендарные продукты, и некоторые стоит попробовать хотя бы раз 😋
🍗 FamilyMart – горячая курочка
🍰 Lawson – десерты и караагэ-кун
🍙 7-Eleven – онигири и сэндвичи
🍦 Ministop – мягкое мороженое
🍜 Seicomart – горячая еда
🥐 Daily Yamazaki – свежая выпечка
🍱 …
Какой тип японского парня тебе подходит? 💘🤩
🇯🇵 В Японии парней любят делить на типажи:
есть парни-коты, парни-собаки и даже парни-кетчупы… 🤯
Причём дело не только во внешности. Важнее характер, привычки и то, как человек ведёт себя в отношениях
Листайте карточки, чтобы узнать, какой из них – именно твой идеал 🐱
и вообще как вам такое деление на типажи? интересно какие были бы у нас…
Друзья, мне не хватит слов ни на русском, ни на английском, ни на японском, чтобы выразить свои чувства касательно нашей поездки, поэтому я выберу язык фактов: вы просто обалденная команда (в самом прямом смысле этого слова), мне было с вами очень комфортно, весело и приятно проводить время. К сожалению, я далеко не тот человек, который оказывается своим в доску со всем коллективом, но я очень рада, что нашла здесь с…
🎤🎶 боже, 3 ЧАСА ПОДРЯД прощального караоке в такоой атмосфере… обожаем
лето подходит в концу и наша поездочка тоже 💔
место, люди, атмосфера – все сошлось, не передать словами
хочется своё караоке открыть в Токио 😅
🍥🍜 Фанаты Наруто, АТЕНШН ❗️Рядом с Токио есть настоящая Коноха
…и мы там побывали 😍
Недавно ездили в парк аттракционов Fuji-Q Highland у подножия Фудзи, а внутри него – целая деревня NARUTO × BORUTO
Тут можно погулять по маленькой Конохе, пофоткаться с Наруто, Саске и другими героями, закупиться мерчем, а главное…
🍜 зайти в Ichiraku Ramen и попробовать тот самый рамен Наруто! Ресторан специально сделали по мотива…
Showing the 12 most recent of 24 posts we hold for @tokyotrip_ru. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 24 most recent posts we hold, published 2 August 2026 to 8 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
Named by 10 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.
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.
Японец Коки @yaponetsukoki · 22,555 Telegram ranks this channel #9 of 86 here — alongside 85 others — read 20 September 2026
Удивительная Япония @Japan_paradoks · 101,971 Telegram ranks this channel #9 of 65 here — alongside 64 others — read 15 August 2026
Nihongo - Японский язык @yaponskoe · 21,607 Telegram ranks this channel #18 of 74 here — alongside 73 others — read 22 September 2026
Русский в Японии @from_japan · 27,662 Telegram ranks this channel #19 of 91 here — alongside 90 others — read 10 September 2026
Япония Эстетика Культура⛩ @totoro_japan · 26,614 Telegram ranks this channel #21 of 83 here — alongside 82 others — read 10 September 2026
Врен о Японии для туриста @wrenjapan · 113,284 Telegram ranks this channel #38 of 90 here — alongside 89 others — read 15 August 2026
Культура Японии @japanese_online · 20,619 Telegram ranks this channel #40 of 89 here — alongside 88 others — read 26 September 2026
Shamov Dmitry | Уютная Япония 🇯🇵 @ShamovD · 27,683 Telegram ranks this channel #53 of 87 here — alongside 86 others — read 10 September 2026
Daigaku - Японский язык @daigaku · 20,169 Telegram ranks this channel #65 of 87 here — alongside 86 others — read 27 September 2026
This channel appears in 9 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“TokyoTrip • Учеба и жизнь в Японии ⛩” (@tokyotrip_ru), 9,368 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/tokyotrip_ru.
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.