Other / unclassifiable — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
12 measurements spanning 38 days, net +84. 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 2,064–2,174 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 14:42
2,161
+13
14 Sept 2026, 08:39
2,148
+14
10 Sept 2026, 09:37
2,134
+11
4 Sept 2026, 20:57
2,123
+15
1 Sept 2026, 11:35
2,108
+4
29 Aug 2026, 17:13
2,104
+13
26 Aug 2026, 07:36
2,091
+6
23 Aug 2026, 03:35
2,085
-2
19 Aug 2026, 05:16
2,087
+6
12 Aug 2026, 09:04
2,081
+4
11 Aug 2026, 19:00
2,077
no change
11 Aug 2026, 18:51
2,077
first reading
Engagement
5 posts held, back to 17 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 24 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 17s
Average length
1m 17s
Measured directly from 1 video 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
123 reactions across 5 posts, in 8 distinct kinds. The most used accounts for 33.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5303540632030026372
41
33.3%
custom 5417971248128883049
28
22.8%
custom 5417841849354191023
21
17.1%
custom 5348290222704567043
19
15.4%
custom 5440646373349295417
5
4.07%
custom 5409093954454959034
4
3.25%
custom 5231446955971871174
3
2.44%
custom 5438316959181607345
2
1.63%
Custom emoji. Every row above is a 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 5 of the 5 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 123 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 17 June 2026 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.
Всем доброго утра чайные друзья ❤️
Съездили перед поездкой в СПБ с Марусей Сергеевной в Волгоград - очень красивый город довольно даже понравилось там
К сожалению времени на чайную церемонию не было по этому по простому просто стаканчик а гостинице и плитка прибиотика кипятком 🍵
Ну и как всегда пушистую дочу накормил шашлыком
Конечно высота статуи " Родина-мать зовёт! " очень поразила что ее аж видно на пол города…
Всем привет 👋
Ну я считаю сегодняшнее прекрасное утро нужно начинать прекрасно по этому Маруся Сергеевна немножко поучаствовала в видео
✉️Чатик:
https://t.me/+8lWeoOyjl6QzZmEy
💙ВК сообщество:
https://vk.ru/teaguard
#китайскийчай #чайнаяцеремонния
#чай #пуэр #улун #китай
РОЗЫГРЫШ КИТАЙСКОГО ЧАЯ
Решил вновь розыгрыш
Какой чай ? А вот секрет 🤝
🏆Приз:
Китайский чай (а какой будет секретик)
(отправлю озоном по рф,рб,кз)
📌Условия простые:
1️⃣Быть подписанным на этот канал:
https://t.me/tea_guard
2️⃣ Вступить в мой чат:
https://t.me/+8lWeoOyjl6QzZmEy
3️⃣ Переслать этот пост 1 другу или в любой чайный чатик либо телеграмм канал про чай ( так как конкурс у нас для чайных людей )
…
Ребятки котятки всем привет🙏
Нашему чудесному чату
Чайный Страж
исполнился 1 год 🥳
И это уже не просто сообщество это целый
🛡️ Орден Чайного Стража
Мне бы очень хотелось чтобы этот пост стал своеобразной книгой отзывов о проекте
Даже если вы присоединились совсем недавно буду рад услышать ваше мнение хоть и хорошее хоть и плохое я не боюсь критики и негатива
А новые участники всегда смогут зайти сюда и почитать ис…
Showing the 5 most recent of 5 posts we hold for @tea_guard. 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 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Чайный Страж” (@tea_guard), 2,161 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/tea_guard.
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.
