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 22 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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 why it has no browse page of its own yet.
Growth
4 measurements spanning 17 days, net +55. 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 345–416 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 09:39
408
+11
6 Sept 2026, 18:54
397
+43
29 Aug 2026, 05:08
354
+1
28 Aug 2026, 23:30
353
first reading
Engagement
10 posts held, back to 14 June 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
44.9%
avg views ÷ 408 subscribers
Avg views / post
183
1 post measured
Reaction rate
18.0%
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
Window
Rolling 30 days · latest post in window 26 August 2026
Posts held
10 (14 June 2026 – 26 August 2026)
Views total
183
Reactions total
33
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 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.
What this channel posts
Video runtime
1m 26s
Average length
43s
Measured directly from 2 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
230 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 37.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5244460530785096824
85
37.0%
custom 5429200487368903066
76
33.0%
custom 5292028045207552733
38
16.5%
custom 5260439402559065159
21
9.13%
🤨
7
3.04%
custom 5413679785526215955
3
1.30%
Custom emoji. 5 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 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 230 reactions 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 14 June 2026 to 26 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.
🧠 А вот и рассказываем про то, что мы придумали
Мы придумали такое микро-реалити-шоу
В чём суть?
Мы уверены в нашей методике, мы уверены в экосистеме, которая подготовлена для наших учеников, а также мы уверены в преподавательских качествах наших Лаоши
❗️ Теперь хотим убедить ещё и вас. В этом посте чуть ниже будет форма, заполнив которую, вы сможете участвовать в этапе отбора на участие в нашем проекте
Суть про…
🧠 Каким мы хотим видеть БАДДИ через пару лет?
Немного помечтали и записали, к чему вообще хотим прийти. Будет очень прикольно открыть этот пост через пару лет и посмотреть, что из этого уже стало реальностью
Попробовать наш формат обучения
Кстати, интересный факт про нашу школу
⚠️ Внутри школы мы все обращаемся друг к другу на «ты». Скажу даже больше: «Как вам удобнее общаться — на ты или на вы?» — это буквально первый вопрос, который мы задаем на собеседовании (ну и мы конечно надеемся, что собеседник согласится перейти на "ты")
Объясняется это просто. Во-первых, вся команда школы состоит из молодых ребят, пока еще до 30 лет, и если мы будем общатьс…
🧠 Мы кое-что сделали
Когда мы делали сайт БАДДИ мы вообще не хотели запариваться, просто написали «мы школа китайского БАДДИ», накидали инфу про нашу суперсовременную методику, рассказали, какие мы классные, и пошли заниматься другими делами ✋
Потом открыли статистику и там было 3 перехода хаха
Через неделю так же 3-4.
Оказалось, что почему-то никто не хочет специально заходить на сайт, чтобы почитать, какие мы кр…
🧠 Перед каждым уроком стоит много невидимой работы.
Покажем, как мы выстраиваем команду преподавателей внутри школы, чтобы поддерживать качество обучения на высочайшем уровне
Попробовать наш формат обучения
#карточки
🧠 Почему один урок в неделю почти не даёт результата
Иногда человек хочет учить китайский «на легке». Например, один раз в неделю.
Это лучше, чем ничего. Но есть проблема.
⚠️ Язык — это не знание, которое можно просто «получить». Это навык, который требует частого контакта.
Если между занятиями проходит слишком много времени,
мозг не успевает удерживать материал в активном состоянии.
На каждом следующем уроке ча…
🧠Я всё понимаю, но говорить не могу….… 怎么办呢
Кажется, что каждый, кто учил китайский дольше нескольких месяцев, хотя бы раз произносил эту фразу.
❗️Самое интересное, что обычно человек действительно многое понимает. Он знает слова, может читать тексты, разбирать грамматику и даже неплохо воспринимать китайскую речь на слух. Но как только возникает необходимость 说一说 — появляется ступор.
И тут многие начинают искать пр…
🧠 Мотивация — вещь приятная. Но очень нестабильная.
Сегодня хочется учиться, завтра — уже нет. И если всё держится только на этом, процесс быстро начинает шататься.
Онлайн-школа китайского языка БАДДИ. Подписаться
#карточки
🧠 小气 (xiǎo qì)
Попробуйте понять слово на китайском — без перевода.
他有很多钱。他的朋友过生日，但是
他不想买礼物。
他觉得："我不想花钱"
这就是小气。
比如：
他有钱，但是很小气。
她从不请客，很小气。
我不喜欢小气的人。
Поняли? Или нет? 👀
Напишите свой пример с этим словом
Попробовать наш формат обучения
#китайский_без_перевода
Showing the 10 most recent of 10 posts we hold for @buddy_school. 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@buddy_school named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@buddy_managerr named in 1 post, 29 August 2026 – 29 August 2026
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“БАДДИ” (@buddy_school), 408 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/buddy_school.
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.
