3 measurements spanning 7 days, net -1. 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 1,242–1,243 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Oct 2026, 19:56
1,242
-1
27 Sept 2026, 13:22
1,243
no change
27 Sept 2026, 12:47
1,243
first reading
Engagement
18 posts held, back to 8 May 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.7%
avg views ÷ 1,242 subscribers
Avg views / post
182
2 posts measured
Reaction rate
12.1%
reactions ÷ views · ER floor
Posts in window
2
of 18 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 15 September 2026
Posts held
18 (8 May 2026 – 15 September 2026)
Views total
364
Reactions total
44
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 13:22 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
135 reactions across 18 posts, in 12 distinct kinds. The most used accounts for 28.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
38
28.1%
👍
27
20.0%
😁
20
14.8%
🤣
18
13.3%
🔥
10
7.41%
❤🔥
8
5.93%
🕊
5
3.70%
🤯
3
2.22%
😭
2
1.48%
🤝
2
1.48%
✍
1
0.741%
😢
1
0.741%
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 18 of the 18 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 135 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 8 May 2026 to 15 September 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 Stars
Stars received
2
across the posts below
Posts paid on
2
of 18 we hold a reading for · 11%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @middle_aged_gaijin. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 18 most recent posts we hold for this entry, published 8 May 2026 to 15 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Я тут продолжаю прокладывать маршрут по Тохоку и вдохновляюсь современными тенденциями в нейронках. Потратил кучу времени, чтобы написать развёрнутый промпт для Гигачата, чтобы он мне подобрал хостелы по определённым параметрам и свёл в таблицу с названием, городом, ценой, ссылкой, координатами. И он это сделал! Прикиньте!
Но есть один нюанс. Гигачат придумал все эти хостелы.
Продолжаю думать о второй тысяче километров по Японии. И один из самых сложных вопросом — это снижение веса снаряжения. И палатки в частности. Иногда находятся довольно экстравагантные решения, типа вело-палатки Topeak Bikamper. Но я поеду на складничке, и тут слишком много растяжек для установки. Кто разбирается в палатках, можете включиться в эти поиски. #GJN_velo
Палатка должна обладать следующими свойствами:
1-…
Увидел этот мем и сразу стало интересно посмотреть этот фильм на японском языке. Я ведь знаю его чуть ли ни дословно.
А вот японцам фильм, как видно, не зашёл. Оценка: 3.6.
https://filmarks.com/movies/38261 Даже немного обидно.
Друзья, я знаю, что многие из вас пришли на этот канал из ТикТока. И буду очень благодарен вам, если поможете раскачать мой новый канал «стереоприлив» . Там я делюсь своими соображениями о жизни, открытиями и чувствами.
Полистайте, полайкайте, накидайте комментов:
https://www.tiktok.com/@stereopriliv
Гайдзин остаётся в японской тематике. Впереди новые путешествия, но пока я пишу здесь редко и переосмысляю тему Япон…
⏺ Радио Гайдзин 🚴🏻♂️ Chapter №22 [19 min]
Окончание большого вело-путешествия по Японии
VK-video ▷ https://vkvideo.ru/video-213731480_456239065
YouTube ▷ https://youtu.be/0PS5IX6KVdg
Яндекс ▷ music.yandex.ru/album/40153994
VK-podcast ▷ vk.com/podcasts-213731480
К сожалению, моя запись из Йокогамы не сохранилась. Это было предпоследнее место, куда я приехал. Очень жаль. Поскольку это очень крупный и колоритны…
На этой неделе будет опубликовано последнее видео из серии подкастов про вело-путешествие по Японии. У меня очень двоякие чувства в отношении этой работы. С одной стороны ВАУ, какую кучу материала я причесал и выложил! С другой стороны, НУ, кажется, это не вызвало резонанса, на который я где-то внутри тебя рассчитывал.
Но главное, что в процессе путешествия и в процессе монтажа я многому научился и эти знания буду и…
Что-то я застрял в монтаже своего роад-муви и решил раскачаться за счёт монтажа спонтанных коротышей. Сходил тут с друзьями на Чёртово городище. Взял с собой старенький хэндикам от Sony и с удовольствием наснимал красоты. Не смог не смонтировать. Так что теперь и ты не смоги не посмотреть.
https://youtu.be/Qa4qD1fAmIo
⏺ Радио Гайдзин 🚴🏻♂️ Chapter №21 [21 min]
Любовь и вело-заезд на остров Эносима, Япония
VK-video ▷ https://vkvideo.ru/video-213731480_456239064
YouTube ▷ https://youtu.be/wjiiNa5MWfo
Яндекс ▷ music.yandex.ru/album/40153994
VK-podcast ▷ vk.com/podcasts-213731480
Остров Эносима и прекрасный прибрежный город Фудзисава. Выглядят, как райское местечко. Здесь я отогрелся. Чудесная погода, море, сёрферы и просто ма…
⏺ Радио Гайдзин 🚴🏻♂️ Chapter №20 [19 min]
Вело-поход вокруг Фудзиямы, Япония. День 4й
VK-video ▷ https://vkvideo.ru/video-213731480_456239063
YouTube ▷ https://youtu.be/X9q-5b4X_jQ
Яндекс ▷ music.yandex.ru/album/40153994
VK-podcast ▷ vk.com/podcasts-213731480
Четвёртный и последний день вокруг Фудзи на велосипеде. Эта часть маршрута почти завершена, но тут я обнаружил, что потерял сумку для велосипеда, без …
⏺ Радио Гайдзин 🚴🏻♂️ Chapter №19 [22 min]
Вело-поход вокруг Фудзиямы, Япония. День 3й
VK-video ▷ https://vkvideo.ru/video-213731480_456239070
YouTube ▷ https://youtu.be/bS6fWN57bdM
Яндекс ▷ music.yandex.ru/album/40153994
VK-podcast ▷ vk.com/podcasts-213731480
Третий день продолжаю объезжать Фудзияму на велосипеде. Я в полном порядке проснулся в палатке ранним туманным утром на озере Сайко. По пути решил рас…
Кайфую! Ко мне пришла камера Sony HDR-GW77. Это старенькое влагозащищённое чудо, 2012 года выпуска. На мой взгляд, вершина компактных хэндикам весом в ~200гр. Но после неё Sony забили на линейку GW и стали выпускать экшн камеры серии FDR (пуля), с той же оптической стабилизацией, но уже без зума. А зря, ведь в GW77 честных оптических 10х. Видимо, тогда рынок компакт камер убила мобильная съёмка, хотя сегодня в торгов…
🔥8✍1
Showing the 12 most recent of 18 posts we hold for @middle_aged_gaijin. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
Daigaku - Японский язык @daigaku · 20,355 Telegram ranks this channel #86 of 87 here — alongside 86 others — read 27 September 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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“мидл-эйдж Гайдзин • Япония: язык и путешествия” (@middle_aged_gaijin), 1,242 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/middle_aged_gaijin.
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.