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 11 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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
27 measurements spanning 42 days, net -157. 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 12,187–12,392 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
18 Sept 2026, 16:36
12,211
-7
16 Sept 2026, 06:02
12,218
-9
14 Sept 2026, 16:01
12,227
-5
13 Sept 2026, 02:01
12,232
-5
11 Sept 2026, 04:21
12,237
-13
8 Sept 2026, 09:14
12,250
-15
5 Sept 2026, 04:37
12,265
-3
3 Sept 2026, 10:14
12,268
-9
2 Sept 2026, 06:13
12,277
-3
1 Sept 2026, 04:26
12,280
-5
31 Aug 2026, 06:16
12,285
-1
30 Aug 2026, 08:05
12,286
-7
28 Aug 2026, 01:22
12,293
-6
26 Aug 2026, 22:02
12,299
-8
25 Aug 2026, 00:07
12,307
-6
23 Aug 2026, 13:57
12,313
-9
21 Aug 2026, 20:54
12,322
-7
20 Aug 2026, 15:08
12,329
-5
18 Aug 2026, 16:03
12,334
-1
17 Aug 2026, 15:16
12,335
first reading
Engagement
38 posts held, back to 1 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
12.4%
avg views ÷ 12,211 subscribers
Avg views / post
1,510
12 posts measured
Reaction rate
1.25%
reactions ÷ views · ER floor
Posts in window
12
of 38 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 2 September 2026
Posts held
38 (1 August 2026 – 2 September 2026)
Views total
18,121
Reactions total
227
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 22:40 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 45s
Average length
18s
Measured directly from 6 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
856 reactions across 38 posts, in 21 distinct kinds. The most used accounts for 33.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
290
33.9%
🔥
150
17.5%
👍
72
8.41%
❤🔥
64
7.48%
🤔
64
7.48%
🤩
34
3.97%
🍓
33
3.86%
🎉
30
3.50%
👏
15
1.75%
😁
15
1.75%
😍
13
1.52%
🥰
13
1.52%
custom 5472164874886846699
10
1.17%
🍾
10
1.17%
💘
10
1.17%
⚡
7
0.818%
🆒
7
0.818%
💯
7
0.818%
🤗
5
0.584%
🦄
5
0.584%
1 further kind
2
0.234%
Custom emoji. One 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 count beside it is 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 38 of the 38 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 856 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 1 August 2026 to 2 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.
Красота начинается с внимания к себе 🙌
Есть уход, который становится частью дня почти незаметно. А есть тот, ради которого хочется замедлиться — почувствовать текстуру, аромат, прикосновение к коже и на несколько минут оставить всё остальное за дверью.
«Кьюр» — именно про такой ритуал 🌟
Тонизирующий тонер и антивозрастной крем с экстрактом алоэ, увлажняющая антиоксидантная сыворотка — три средства для последовател…
Лето по календарю подходит к концу, но это совсем не повод с ним прощаться ☀️
Собрали несколько идей, которые помогут сохранить летнее настроение подольше: выбраться на природу, устроить вечер с друзьями, пересмотреть любимые фильмы детства, попробовать новый вид спорта или просто добавить дома чуть больше уюта.
Выбирайте то, что хочется именно вам, — и официально продлевайте лето ещё как минимум на месяц 💚
Какой …
Японские лимонады «Рамунэ» от «Хата Косен» легко узнать по необычной бутылочке со стеклянным шариком внутри — открыть такую уже очень необычно ✨
В коллекции — арбуз, спелая клубника, личи, апельсин и другие фруктовые вкусы. Можно выбрать любимый или собрать несколько и устроить небольшую дегустацию.
Охладите посильнее — и пробуйте Японию на вкус вместе с «Табрис» 💚
До 1 сентября остаются считанные дни — самое время добавить к школьным приготовлениям немного сладкого настроения 🎒
В «Табрисе» уже появился бенто-торт «1 сентября» — небольшой праздничный десерт, созданный специально к началу учебного года.
Внутри — нежный ванильный бисквит, воздушный крем и две яркие начинки: малина и манго-маракуйя. Сочная ягодная кислинка встречается с тропической свежестью — получается по-наст…
Что взять с собой на перекус? 🍏
Собрали 5 вариантов под разные планы: для детского сада, школы, тренировки и прогулки. В каждом — своё сочетание продуктов, которое можно взять за основу и собрать под себя.
Смотрите видео и сохраняйте идеи к началу учебного сезона 💚
Сегодня гранола, завтра хлопья, а послезавтра — хрустящие подушечки 🥣
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Добавьте молоко или йогурт, любимые фрукты, ягоды или орехи — и каждый раз можно получать новое сочетание.
Выби…
Что нового? Кажется, в этот раз мы немного разошлись 😄
Свежая подборка получилась яркой и очень разной — здесь есть и кое-что необычное, и знакомые вкусы в новом прочтении, и находки, мимо которых сложно пройти просто!
Одни новинки хочется попробовать сразу, другие — рассмотреть поближе, а некоторые вполне могут стать новыми фаворитами 👀
Не будем раскрывать все карты — лучше листайте карточки и знакомьтесь сами.
…
Японский уход, который работает с качеством волос 🌿
«Моганс» — премиальная эко-косметика в философии «чистой красоты». Более 99% ингредиентов имеют растительное происхождение, а формулы не содержат силиконов, сульфатов, парабенов, искусственных красителей и минеральных масел.
В основе ухода — аминокислоты, растительные компоненты и натуральные эфирные масла.
🤍 Серия «Хакудзю» — для тонких, ослабленных и лишённых о…
🔥5🤔2🤩2🍓1
Showing the 12 most recent of 38 posts we hold for @Tabris_food. 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.
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.
“Новости Табрис” (@Tabris_food), 12,211 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Tabris_food.
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.