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 63% 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
14 measurements spanning 39 days, net +739. 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 8,561–10,235 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 04:58
9,912
-106
13 Sept 2026, 14:18
10,018
+1,132
9 Sept 2026, 13:56
8,886
-235
4 Sept 2026, 02:16
9,121
-167
31 Aug 2026, 16:25
9,288
-138
29 Aug 2026, 01:37
9,426
-231
26 Aug 2026, 00:32
9,657
-257
22 Aug 2026, 15:34
9,914
-128
21 Aug 2026, 03:33
10,042
+820
17 Aug 2026, 23:55
9,222
+468
14 Aug 2026, 17:57
8,754
-183
11 Aug 2026, 08:57
8,937
-200
8 Aug 2026, 01:56
9,137
-36
7 Aug 2026, 13:16
9,173
first reading
Engagement
8 posts held, back to 20 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 31 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
27.7%
avg views ÷ 9,912 subscribers
Avg views / post
2,750
2 posts measured
Reaction rate
2.37%
reactions ÷ views · ER floor
Posts in window
2
of 8 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 28 August 2026
Posts held
8 (20 July 2026 – 28 August 2026)
Views total
5,490
Reactions total
130
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 06:23 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 12s
Average length
18s
Measured directly from 4 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
890 reactions across 8 posts, in 24 distinct kinds. The most used accounts for 31.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
277
31.1%
🔥
241
27.1%
💔
129
14.5%
😍
33
3.71%
💘
30
3.37%
🥰
29
3.26%
🏆
25
2.81%
🕊
21
2.36%
👍
20
2.25%
🍓
16
1.80%
💋
15
1.69%
🤩
13
1.46%
🤗
9
1.01%
😎
7
0.787%
🙏
6
0.674%
🫡
4
0.449%
🐳
3
0.337%
👀
3
0.337%
👻
2
0.225%
😭
2
0.225%
4 further kinds
5
0.562%
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 8 of the 8 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 890 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 20 July 2026 to 28 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.
Мой секрет шикарных волос после лета ✨
После солнца и постоянных укладок волосы в ужасе, но я нашла спасение! 💔Протестировала — эффект вау: снова живые, гладкие и с зеркальным блеском 🥹💖 (смотрите видео)
Идеальное комбо от Kerasys:
🧴 Шампунь+кондиционер Oriental Premium (масло камелии). Реконструируют изнутри, а не просто обволакивают. Волосы перестают путаться и ломаться 😍
💧 Ампульная сыворотка с керамидами. Смыв…
Пришёл мой Trendy box 💝
«Лесные сказки» — и внутри целый лес бьюти-сокровищ💄
Patrisa nail ✨ L'Arte del Bello ✨ 8.1.8 beauty formula ✨ Bimunica ✨ PASTEL COSMETICS ✨ Yllozure ✨ 4FRESH ✨ Emi ✨ Aravia Laboratories ✨ Bionike - ✨ FRNDLY Beauty ✨ Parisa Cosmetics
Каждый продукт — как персонаж сказки: со своим характером, но все они идеально ужились в одной коробке🎁
А вы любите такие боксы или предпочитаете собирать сами
Ой, дорогие мои, всем привет!♥️
Пропала на целую неделю, и у меня для вас новость, от которой я до сих пор в легком шоке...
Я СПОНТАННО ПЕРЕЕХАЛА! 🏠✨И теперь разбираю этот творческий хаос🤪
Сама не верю, что это происходит со мной.
Эмоции смешанные: где-то радость, где-то легкая паника🤭
Сейчас я тут превращаю новое гнездышко в уютный рай. Каждый день — это маленький праздник: новые шторы, посуда, и даже АЭРОГРИЛЬ (…
Летний beauty-сет🛍️
Решила обновить свою косметичку и наткнулась на бокс «Летняя атмосфера»☀️Собрала всё, что нужно для лица, волос и тела — идеально для отпуска и дома😍
Мой фаворит с первых дней:
🌞 DD-крем Yu.R. Очень крутая штука! Тон с SPF 50+, кожа дышит, цвет ровный, и не надо гору баночек наносить☺️
Что ещё внутри:
Увлажняющая маска Missha с алоэ (классно остужает после солнца), сыворотка для роста волос SKI…
Решила заглянуть на сайт Gloria Jeans — просто посмотреть, что нового. И знаете, я пропала на час 🤩
Новая офисная коллекция настолько красивая, что я собрала себе целый вишлист🛍️ Визуал просто космос!
Тот самый образ с клетчатой юбкой-миди, курткой и высокими сапогами — идеальный баланс между строгостью и стилем. Очень понравилось, что вещи выглядят дорого и базово, но с изюминкой💌
Отдельно порадовало, что и для м…
Celimax The Real Noni: антистресс для лица🍏
Продолжаю знакомить вас с корейским брендом celimax, который покорил мое сердце💔 Сегодня герои дня — успокаивающие пэды и восстанавливающая сыворотка с экстрактом нони🌿
🍃 Успокаивают и убирают красноту
💧 Охлаждают и снимают отечность (идеально утром для свежего вида!)
✨ Дарят сияние и мягко полируют поверхность
И, конечно, они пропитаны экстрактом нони — бестселлером бре…
Дорогие мои, ностальгия в глаз попала🥹 Диагноз — дефицит Питера в крови!🌉💫🥂
Решила собрать для вас эту красивую подборку, чтобы хоть немного прикоснуться к тому самому настроению. Не так давно я окончательно поняла: Петербург — всё-таки мой город, моя душа однозначно там🥹❤️🩹
Здесь есть какая-то невероятная магия💫Могу бесконечно бродить по узким улочкам, разглядывать фасады, ловить отражения в каналах и просто любо…
🔥68👍20❤19💔11🥰10💋6😍5💘3
Showing the 8 most recent of 8 posts we hold for @dnevnikstasi. 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.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“мой дневник🍓” (@dnevnikstasi), 9,912 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/dnevnikstasi.
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.