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 12 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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
27 measurements spanning 95 days, net -434. 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 6,074–6,644 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
9 Nov 2026, 00:07
6,140
-3
6 Nov 2026, 02:26
6,143
+1
2 Nov 2026, 17:27
6,142
-8
30 Oct 2026, 20:30
6,150
-17
27 Oct 2026, 13:27
6,167
-19
24 Oct 2026, 03:14
6,186
-7
21 Oct 2026, 07:35
6,193
-14
17 Oct 2026, 21:48
6,207
-17
14 Oct 2026, 20:36
6,224
-7
11 Oct 2026, 05:59
6,231
-120
5 Oct 2026, 06:39
6,351
-9
27 Sept 2026, 06:39
6,360
-21
18 Sept 2026, 05:40
6,381
-7
14 Sept 2026, 07:20
6,388
-20
11 Sept 2026, 02:36
6,408
-17
6 Sept 2026, 12:59
6,425
-16
2 Sept 2026, 00:34
6,441
-9
29 Aug 2026, 19:16
6,450
-6
26 Aug 2026, 14:33
6,456
-2
23 Aug 2026, 11:08
6,458
first reading
Engagement
17 posts held, back to 13 July 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 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.65%
avg views ÷ 6,140 subscribers
Avg views / post
531
12 posts measured
Reaction rate
4.50%
reactions ÷ views · ER floor
Posts in window
12
of 17 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 6 November 2026
Posts held
17 (13 July 2026 – 6 November 2026)
Views total
6,375
Reactions total
287
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 17:37 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
3s
Average length
3s
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
499 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 41.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5253518865920458048
205
41.1%
❤
193
38.7%
🔥
47
9.42%
custom 5271507254107996846
33
6.61%
custom 5370610867094166617
21
4.21%
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 17 of the 17 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 499 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 13 July 2026 to 6 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 12 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).
Матча с грушей и розмарином 🍐🌿
Спелая груша, ароматный розмарин и церемониальный матча — мягкое ботаническое сочетание со свежим травянистым характером. Груша добавляет естественную фруктовую сладость, розмарин — тонкую хвойно-пряную ноту, а матча связывает все в цельный зеленый профиль. В горячем формате напиток получается особенно ароматным и уютным.
Как приготовить:
1. Приготовьте розмариновый сироп: смешайте 10…
Мастер-класс Matcha Forest × LUA patry studio
В это воскресенье снова встречаемся на мастер-классе Matcha Forest × LUA 🍵🎃
Вместе приготовим тыквенно-пряный матча латте — согревающий, сливочный и очень осенний. А команда LUA приготовит для гостей матча Сан-Себастьян с инжиром.
Покажем, как правильно приготовить матча и собрать напиток дома, попробуем десерт и проведём уютный воскресный день вместе 💚
💫1 ноября, 14:…
Где еще мы попробовали матча в Лондоне? 🇬🇧
🟣EL&N
Достаточно содержательное матча-меню: горячий латте, холодный латте, лимонад и несколько десертных напитков. По нашим ощущениям, для приготовления используют стандартный (кулинарный) сорт, интенсивную терпкость которого пытаются замаскировать сиропами и сливочными шапочками. Цвет у матча не слишком яркий, приглушенный зеленый, а во вкусе преобладают скорее пыльные и м…
7 ночей японских кайданов 👻
Хэллоуин в Японии сегодня — это костюмы, городские мероприятия и вечеринки, но у японской культуры есть собственная давняя традиция страшных историй.
Кайдан 怪談 буквально можно перевести как «рассказ о странном» или «история о сверхъестественном». Особенно популярными такие истории стали в эпоху Эдо.
С ними была связана игра Hyakumonogatari Kaidankai: участники рассказывали сто страшных …
🇬🇧 L’ETO | London
Blueberry Matcha
L’ETO — международная сеть ресторанов и кафе, которая началась именно в Лондоне: первая точка открылась здесь в 2011 году. Сейчас бренд работает уже в нескольких странах, а сама концепция строится вокруг all-day dining, эффектных десертов и довольно большой карты напитков.
И отдельно нас, конечно, заинтересовал чайный раздел.
У L’ETO есть сразу три позиции с матча: Blueberry Matc…
Друзья, обратите внимание на временные изменения в графике работы нашего офиса! 🌿
С 26 по 30 октября включительно самовывоз заказов будет доступен по обновленному расписанию.
Пожалуйста, учитывайте изменения при планировании визита.
Спасибо за понимание! 💚
🇬🇧JENKI | London
Iced Matcha Mango & Lime Cold Foam
JENKI — это уже практически матча-парк развлечений.
Мы взяли Iced Matcha Mango & Lime Cold Foam — холодный матча с манго на кокосовом молоке и сливочно-лаймовой шапочкой. По профилю сам чай показался чем-то средним между нашими Аканэ и Кейто: достаточно яркий и характерный, без чрезмерной терпкости.
Манго дает сочность, лайм — кислинку и свежесть, а сливочная шап…
custom 525351886592045804817❤6🔥3
Showing the 12 most recent of 17 posts we hold for @infomatcha. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
The Welder Catherine / Сварщица Екатерина @theweldercatherine · 21,117 Telegram ranks this channel #45 of 71 here — alongside 70 others — read 29 September 2026
Surf Coffee® @surfcoffeeru · 20,867 Telegram ranks this channel #47 of 82 here — alongside 81 others — read 27 September 2026
This channel appears in 2 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Матча на кокосовом🍵” (@infomatcha), 6,140 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/infomatcha.
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.
