8 measurements spanning 8 days, net -56. 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 11,576–11,648 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 15:37
11,584
-2
14 Aug 2026, 01:04
11,586
-6
12 Aug 2026, 18:26
11,592
-7
11 Aug 2026, 17:33
11,599
-7
10 Aug 2026, 19:51
11,606
-17
9 Aug 2026, 19:03
11,623
-7
8 Aug 2026, 18:03
11,630
-10
7 Aug 2026, 19:16
11,640
first reading
Engagement
16 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
15.1%
avg views ÷ 11,584 subscribers
Avg views / post
1,750
16 posts measured
Reaction rate
4.84%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 14 August 2026
Posts held
16 (5 August 2026 – 14 August 2026)
Views total
28,050
Reactions total
1,358
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 15:35 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
4s
Average length
4s
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
1,358 reactions across 16 posts, in 2 distinct kinds. The most used accounts for 56.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🕊
763
56.2%
👀
595
43.8%
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 16 of the 16 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 1,358reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 5 August 2026 to 14 August 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.
время закупиться к осени 🍂
зашла в Gloria Jeans и сразу схватила вязаное платье, лучки на учебу и комплекты для пилатеса!
я считаю, расцветки и фасоны идеально подходят моей внешности.. как вам?🍄🟫
бренд уже представил большое количество осенних вещей : свитеры, вязаные жилеты, утепленные спортивные костюмы и шелковые брючки.
цены низкие, поэтому советую начинать составлять гардероб уже сейчас!
— бегом на шоппин…
КОНКУРС!
Дарим 30.000₽ 🌷
Условия участия:
• подписаться на наши каналы:
Taty Ilina
YANSIKK
Beauty_obsession
diario de Lana
Angelaaanp
SOFIKSHEN здесь!
k vtornikova
Ночь в отеле с Анной Трейт
pertsusha
бесконечный вишлист Софи
VALERIA K
Liana’s stories
Bolshaya_kosmeti4ka
the world is yours
• нажать на кнопку «участвую»
• проявлять искренний актив
Выберем 3 победителя!
10.000₽ - выберет рандомайзер
по 10.000₽- пол…
я в шоке, что не все знают о спреях для укладок 🍃
для придания объема и определенной формы используем текстурирующие спреи. с этими задачами отлично справляется Kapous!
совершенно не грязнит корни и длину, а эффект действительно держится долго.
для стойкости укладки наносим солевой спрей. мне нравится ТРЕСеммé. не самый удобный дозатор, зато локоны фиксирует отлично 🙌
не советую использовать сразу много, и старайт…
образы за отпуск 🩵
чтобы выглядеть хорошо необязательно иметь много вещей) в очередной раз убеждаюсь и доказываю, что капсулы одежды — это лучшее!
🍂сохраняйте файл на осень :
BACK TO STUDY
🍂и тренды 2026 :
новое видео на ютубе
— на какие вещи нужны ссылочки?
ЛИЧНАЯ КАПСУЛА 🧺
как получить?
— уверена, не каждой из вас подойдет капсула BACK TO STUDY📒
у всех разные предпочтения и бюджет, любимые цвета и стилизации в одежде.
неоднократно получала вопросы от вас, почему я не делаю личные капсулы?👀
ведь у меня отличная насмотренность, умение сочетать любую вещь и готовый гардероб, служащий мне который год!
— теперь каждая может заказать капсулу одежды под себя и свой стиль 🫶…
небольшая подборка за вчерашний денёк🪽🥞
грустно осознавать, что наш 10-дневный отпуск подходит к концу.. как же насыщенно мы его провели!
начинаю сбор чемодана и монтаж сразу двух больших влогов 📷
— где отдыхаете в этом году? куда планируете поехать?
📍Нарын-Кала
с крепости открывается невероятный вид на город! внутри есть музей, древние постройки и сувенирные лавки.
а еще тут слишком добрые таксисты, угощающие вкусностями!
уже жалеем, что приехали сюда всего на 1 день💔
в Дербенте нужно быть минимум 3-4 дня! есть что посмотреть, где покушать и погулять. 100% хотим вернуться)
на сутки остановились в отеле 📍Никс. находится в центре города около исторических достопримечательностей, стильный интерьер, безууумно милый & приятный персонал, а также совсем недорогой ценник и включенный в проживание завтрак!
— если отдыхать, то с комфортом 💯
🕊37👀30
Showing the 12 most recent of 16 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.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“darina k” (@dzllhaha), 11,584 subscribers as measured 15 August 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.