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 60% 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 41 days, net -234. 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 12,537–12,841 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
17 Sept 2026, 08:40
12,572
-6
15 Sept 2026, 06:00
12,578
-13
13 Sept 2026, 12:42
12,591
+6
11 Sept 2026, 13:59
12,585
+4
9 Sept 2026, 00:40
12,581
-23
5 Sept 2026, 16:20
12,604
-16
3 Sept 2026, 16:01
12,620
-7
2 Sept 2026, 06:22
12,627
-9
1 Sept 2026, 03:08
12,636
+1
31 Aug 2026, 05:34
12,635
-11
30 Aug 2026, 08:28
12,646
-2
29 Aug 2026, 11:04
12,648
-4
27 Aug 2026, 10:08
12,652
-7
26 Aug 2026, 11:47
12,659
+1
25 Aug 2026, 11:33
12,658
+4
24 Aug 2026, 11:47
12,654
+10
22 Aug 2026, 21:16
12,644
+25
21 Aug 2026, 14:16
12,619
-13
20 Aug 2026, 10:44
12,632
-10
19 Aug 2026, 14:17
12,642
first reading
Engagement
34 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 47 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.56%
avg views ÷ 12,572 subscribers
Avg views / post
824
8 posts measured
Reaction rate
3.20%
reactions ÷ views · ER floor
Posts in window
8
of 34 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
34 (1 August 2026 – 2 September 2026)
Views total
6,595
Reactions total
211
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 21:24 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
3m 50s
Average length
19s
Measured directly from 12 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
819 reactions across 33 posts, in 8 distinct kinds. The most used accounts for 49.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
409
49.9%
🔥
227
27.7%
👍
78
9.52%
💘
56
6.84%
🥰
30
3.66%
❤🔥
16
1.95%
😁
2
0.244%
👌
1
0.122%
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 33 of the 34 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 819 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 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.
Как мне нравится использовать стики в макияже!
Как по мне - саааамый удобный формат. Вжух, вжух и уже свежий персик. Все-таки сухие продукты могут подчеркнуть текстуру кожи и сделать либо нарисованным, а кремовые нет, потому что буквально повторяют текстуру кожи
Понравились эти от FOR ME - нежные оттенки, есть в классическом цвете, а для смелых и в более трендовом
Легко тушуются, а с обратной стороны кисточка 🤌🏽
…
Я, как новоиспечённая мама, всегда переживаю за гардероб Сени, потому что хочется, чтобы было красиво и практично, а таких брендов раз-два и обчёлся.
Поэтому по рекомендациям мамочек заглянула на сайт LEOKID и не смогла остановиться
— настолько в моделях всё продумано до мелочей: лямки, хорошие утеплители, съёмные капюшоны, непродуваемые, неубиваемые ткани и пр.
К холодам подготовились. Показываю, что взяла:
🤍 ко…
Я обожаю использовать именно маркеры. Они тонко прорисовывают волоски, прям натуральный и стойкий эффект получается
Ни карандаши, ни тени такой эффект не дают
Мой лайфхак: я сначала укладываю брови гелем и потом дорисовываю волоски. Так лучше видно проплешины 🫶
Мне фавориты: Arive, Vivienne Sabo
Обычно моё лето — это съёмки, курсы, перелёты. В этом году — Великий Устюг, бабушкин огород и Сеня.
Это было лучшим решением для сына. Каждый день на свежем воздухе, под бабушкиным крылом, яблоки прямо с ветки в саду и баня по вечерам. Всё то, чего в московской квартире не дашь.
Я вообще только тут распробовала, какой это отдельный кайф - жизнь в маленьком городе. Тишина, ягоды, овощи с грядки, вкуснейший воздух. И…
И моя интерпретация осеннего макияжа 😍
Проводила повышение для коллеги и решила тоже вас вдохновить на теплые цвета
Обожаю когда макияж выразительный, но без тяжести и без вульгарности
Если есть вопросы по продуктам, пишите. Постараюсь вспомнить 😅
Догадаетесь чем образ я пыталась повторить?
На кого похожа Алёна?
p.s. пришлось использовать черный кайял и низкое скульптурирование, хотя на мои работы это совсем не похоже, но такой выход из зоны комфорта мне по душе.
За какой вы вариант?
Без макияжа, с дневным и со смоки
Пока я в Москве, по максимуму занимаю время работой. Сегодня провожу повышение для визажиста, провела индивидуальный урок по макияжу и в конце позвала модель Алену, чтобы поснимать контент 😆
Продуктивность зашкаливает
Случилось! Новое видео уже на канале 🎥
• Собрала косметичку на каждый день полностью из Золотого Яблока — 10 продуктов, для любого типажа. Один из них стал для меня настоящим открытием года, хотя я долго не хотела его брать.
Показываю, как наносить каждый продукт, разбираю ошибки, из-за которых макияж выглядит неестественно, и в конце — честный итог по бюджету (спойлер: чуть вышла за рамки, но ни один продукт бы не…
🔥22🥰5❤3💘3
Showing the 12 most recent of 34 posts we hold for @Svetlanishko. 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.
Posts edited after publishing
@Svetlanishko edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
17 August 2026
Most recent edit
17 August 2026
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Красота с умом” (@Svetlanishko), 12,572 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Svetlanishko.
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.