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 89% 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
31 measurements spanning 42 days, net -318. 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 11,274–11,688 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
18 Sept 2026, 18:57
11,322
-28
16 Sept 2026, 08:16
11,350
-16
14 Sept 2026, 15:18
11,366
-7
13 Sept 2026, 02:20
11,373
+7
11 Sept 2026, 05:36
11,366
-27
8 Sept 2026, 08:58
11,393
-17
5 Sept 2026, 05:55
11,410
-28
3 Sept 2026, 09:54
11,438
-3
2 Sept 2026, 01:33
11,441
-9
1 Sept 2026, 01:04
11,450
-16
30 Aug 2026, 21:38
11,466
-8
29 Aug 2026, 21:35
11,474
-4
29 Aug 2026, 00:43
11,478
-22
27 Aug 2026, 23:37
11,500
-7
27 Aug 2026, 03:05
11,507
-3
26 Aug 2026, 01:25
11,510
-7
25 Aug 2026, 04:36
11,517
-12
24 Aug 2026, 01:56
11,529
-11
22 Aug 2026, 09:48
11,540
-8
20 Aug 2026, 22:25
11,548
first reading
Engagement
48 posts held, back to 5 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 42 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.3%
avg views ÷ 11,322 subscribers
Avg views / post
1,620
18 posts measured
Reaction rate
3.61%
reactions ÷ views · ER floor
Posts in window
18
of 48 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
48 (5 August 2026 – 2 September 2026)
Views total
29,138
Reactions total
1,051
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 00:05 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
23s
Average length
12s
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
3,753 reactions across 48 posts, in 2 distinct kinds. The most used accounts for 55.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🕊
2,076
55.3%
👀
1,677
44.7%
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 48 of the 48 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 3,753 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 5 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.
заметили, как часто Celimax стали выпускать новинки?🩶
забрала сегодня бустер и крем! второй продукт вмещает в себя сразу 2 формулы — успокаивающую и ретинальную.
а этот календарь🤌🏻 удобно отмечать дни нанесения красивыми стикерами)
также видела у них двухэтапную маску с ретиналем, хочу попробовать!
150+ образов в 1 месте 🦌🍂
встречайте долгожданный канал CAPSULE 3.0!
— я подготовила для вас :
🌟3 капсулы
🌟150+ аутфитов
🌟108 ссылок
🌟посты со стилизацией вещей по отдельности, вне капсул)
— знаю, вы такое любите 💛
300₽ 💵
CAPSULE 3.0
CAPSULE 3.0
CAPSULE 3.0
1. я напишу вам с аккаунта @managerdzlllh
2. оплачиваете и вы в канале!
какое же яркое и быстрое выдалось лето 🤍💛🐚
и хорошо отдохнула, и много потрудилась! кстати, влог с Дагестана в процессе монтажа ;)
— ждете? будет интересно!🫰🏻
ИТОГИ РОЗЫГРЫША📦
бьюти боксы достаются 3 замечательным девушкам :
@afinsss_ts
@kisyayo
@irihkns
уже связалась с ними и на днях отправлю подарки!
— спасибо каждой за участие, обнимаю 🫂
последняя неделя лета🌸🌉
встретили Арину из поездки
гуляли по ночному городу
получила цветочки от мужа
проводила Илью в Москву
были на ночевке с девочками
— попробовала у Арины мист для тела Vegan🤍
впервые нашла продукт схожий по стойкости с духами)
ноты : черный перец, амбра и нероли. легкий, изысканный и недорогой.
— делитесь фото, как прошло ваше лето!🪭
сериал, захвативший с первых минут 💻🎞️
8 серий и интересный сюжет :
Лучшие подруги Дебби и Джудит уверены, что знают друг о друге всё, пока Дебби не узнаёт шокирующую правду: её подруга работает наёмным убийцей и ведёт двойную жизнь. Подруги вынуждены пуститься в бега, когда после проваленного заказа на их след выходит загадочный мужчина из прошлого Джудит.
Преследуемые полицией, элитными киллерами и опасными престу…
что из последнего попробовала у брендов?🤲
этим летом получила много посылок и конечно уже успела все протестировать!
🌟хайлайтер для тела Feel Moment
дает коже загорелый оттенок и мнооого шиммера. он мелкий, поэтому смотрится супер!
🌟патчи для глаз Darling
мне напомнили знаменитые патчи d’Alba) причем они совсем не сползают с лица! увлажняют и освежают🪽
🌟лосьон & крем Sokolov
нежные по своей консистенции, “прохлад…
часто слышу вопросы “как найти свой стиль”?🧦
я сама не так давно поняла что именно мне нравится носить)
самое главное — не пытаться подражать кому-то или приучить себя к определенной одежде.
одевайтесь в то, в чем вам комфортно находиться! в чем вы чувствуете “себя собой”.
— а собрать готовый гардероб можно у меня 🧺
еще одна девушка получила свою личную капсулу, где я собрала 15 вещей в один файл по ее предпочтен…
🕊28👀15
Showing the 12 most recent of 48 posts we hold for @dzllhaha. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Эмили @lokerm · 34,239 Telegram ranks this channel #3 of 64 here — alongside 63 others — read 3 September 2026
meewmoore ⋆୨୧˚ @meewmoore · 32,183 Telegram ranks this channel #5 of 58 here — alongside 57 others — read 4 September 2026
целую, аня @kisbaes · 31,913 Telegram ranks this channel #6 of 56 here — alongside 55 others — read 5 September 2026
Imargot @immmargot · 71,775 Telegram ranks this channel #6 of 63 here — alongside 62 others — read 19 August 2026
данич крив @dankakriv · 53,731 Telegram ranks this channel #7 of 57 here — alongside 56 others — read 24 August 2026
несоджа @nesojaa · 86,473 Telegram ranks this channel #8 of 61 here — alongside 60 others — read 17 August 2026
lettres d’elina @lettreselina · 41,806 Telegram ranks this channel #10 of 66 here — alongside 65 others — read 29 August 2026
Lera Salomatina @withheartValeria · 43,425 Telegram ranks this channel #10 of 70 here — alongside 69 others — read 28 August 2026
ЕРВИШНЯ @yourrwishestg · 38,125 Telegram ranks this channel #12 of 52 here — alongside 51 others — read 31 August 2026
hey, it’s me Anya @heyitsmeanya · 77,603 Telegram ranks this channel #12 of 63 here — alongside 62 others — read 19 August 2026
шанава вещает @shanaavaaa · 25,389 Telegram ranks this channel #13 of 57 here — alongside 56 others — read 14 September 2026
klueva @kluevacharm · 33,863 Telegram ranks this channel #19 of 48 here — alongside 47 others — read 3 September 2026
ангел хлоя @angchloeme · 61,001 Telegram ranks this channel #20 of 53 here — alongside 52 others — read 22 August 2026
helnns @helnns · 68,574 Telegram ranks this channel #29 of 59 here — alongside 58 others — read 20 August 2026
sosomak @sosomakinst · 22,743 Telegram ranks this channel #32 of 47 here — alongside 46 others — read 20 September 2026
cozy channel ⟡ учёба @cozyy_channel · 52,725 Telegram ranks this channel #43 of 59 here — alongside 58 others — read 23 August 2026
целую, лера @norvegianwoods · 22,327 Telegram ranks this channel #57 of 73 here — alongside 72 others — read 21 September 2026
This channel appears in 17 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“darina k” (@dzllhaha), 11,322 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/dzllhaha.
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.