Ecommerce storefront — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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
33 measurements spanning 52 days, net +5,864. 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 60,899–68,631 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
28 Sept 2026, 00:59
67,739
+2,329
17 Sept 2026, 21:20
65,410
+647
15 Sept 2026, 15:58
64,763
+159
13 Sept 2026, 22:17
64,604
+1,000
12 Sept 2026, 05:18
63,604
+575
10 Sept 2026, 02:00
63,029
+587
6 Sept 2026, 19:59
62,442
+651
4 Sept 2026, 06:20
61,791
-208
2 Sept 2026, 19:58
61,999
-127
1 Sept 2026, 15:23
62,126
-176
31 Aug 2026, 13:13
62,302
-67
30 Aug 2026, 09:37
62,369
-24
29 Aug 2026, 10:55
62,393
-88
28 Aug 2026, 11:35
62,481
-61
27 Aug 2026, 11:56
62,542
-63
26 Aug 2026, 14:43
62,605
-39
25 Aug 2026, 11:43
62,644
-64
24 Aug 2026, 13:16
62,708
-88
22 Aug 2026, 20:13
62,796
-331
21 Aug 2026, 11:27
63,127
first reading
Engagement
73 posts held, back to 29 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 109 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.9%
avg views ÷ 67,739 subscribers
Avg views / post
8,050
47 posts measured
Reaction rate
1.34%
reactions ÷ views · ER floor
Posts in window
47
of 73 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 29 September 2026
Posts held
73 (29 July 2026 – 29 September 2026)
Views total
378,230
Reactions total
5,085
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 15:11 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
Photos
≈2,400
Videos
≈148
Links
≈272
Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
8m 29s
Average length
34s
Measured directly from 15 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
8,355 reactions across 73 posts, in 5 distinct kinds. The most used accounts for 47.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
3,948
47.3%
😍
2,618
31.3%
⚡
773
9.25%
👍
597
7.15%
😁
419
5.01%
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 73 of the 73 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 8,355 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 73 most recent posts we hold, published 29 July 2026 to 29 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.
Мягкое очищение без ощущения стянутости 🫧
Осенью кожа чаще сталкивается с сухостью и повышенной чувствительностью из-за перепадов температуры.
Поэтому важно выбирать мягкое и деликатное очищение, которое при этом эффективно удаляет загрязнения, макияж и избыток себума, не нарушая защитный барьер кожи.
С линейкой Dual Barrier очищение остаётся бережным и комфортным для кожи.
🩶Гидрофильный бальзам
🧴Гель для умывани
Заглянули в «Золотое Яблоко», чтобы посмотреть наши новые полки celimax ✨
А заодно решили показать вам поближе линейки бренда, которые можно найти в магазине — от восстановления кожного барьера и увлажнения до ухода с ретинолом, ретиналем и любимой линией Noni.
Как вам новое оформление? ❤️
В чем отличия между Retinal Booster и Dual Cream? 🧴🤍
🖇Рассказали в новом видео
Какой из продуктов вы бы хотели попробовать? Ответами делитесь в комментариях ⬇️
Ретинол — тот случай, когда больше не значит лучше 🧴🧴
Если кожа только знакомится с ретиноидами, важно не спешить с ежедневным применением, а дать ей время постепенно адаптироваться к активу.
Имеет значение и способ нанесения: сыворотку - можно распределять по всему лицу, а бустер - использовать точечно на участках, которым требуется более интенсивный уход.
🧴Ссылка на сыворотку
🧴Ссылка на бустер
Осенью особенно важно соблюдать баланс между активным уходом и восстановлением кожи
The Vita-A помогает работать с текстурой кожи и признаками старения, а Dual Barrier обеспечивает коже необходимое увлажнение и помогает поддерживать её защитный барьер
💧🧴🧴В посте собрали, как сочетать эти средства в одной рутине
🧴Спикулы — компонент, который делает привычный уход более интенсивным.
Разбираемся, что происходит с кожей после нанесения и почему именно спикулы добавляют в средства с активными компонентами.
🧴🧴А вы уже пробовали средства со спикулами? Какой эффект вы заметили после использования?
Ответами делитесь в комментариях ⬇️
Что объединяет сelimax и Диму Билана? 🤍
Мы решили спросить об этом самого Диму, что близко ему в подходе celimax и какие ценности объединяют его с брендом.
🧴🧴Последовательность ухода имеет значение, особенно при использовании ретиноидов.
Начните с мягкого очищения, затем нанесите Dual Barrier Toner, чтобы увлажнить и подготовить кожу. Следом — ретинол или ретиналь. Завершите уход кремом, который поможет поддержать защитный барьер кожи.
💧Такой подход помогает сделать уход с ретиноидами более комфортным и сохранить кожу увлажнённой и защищённой.
💧Ссылка на тонер
🧴🧴Ссыл…
Что осталось за кадром при создании лимитированных продуктов celimax × Дима Билан?
От первых этапов производства до встречи с вами на полках магазинов 🤍
Как это было, смотрите в новом видео!
Showing the 12 most recent of 73 posts we hold for @celimax_cis. 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
Named by 14 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 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“celimax.cis” (@celimax_cis), 67,739 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/celimax_cis.
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.
