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 10 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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
32 measurements spanning 42 days, net -230. 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 16,629–16,928 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 13:19
16,663
-11
16 Sept 2026, 09:20
16,674
-9
14 Sept 2026, 17:21
16,683
-10
13 Sept 2026, 02:42
16,693
-8
11 Sept 2026, 05:38
16,701
-4
8 Sept 2026, 11:21
16,705
-12
5 Sept 2026, 04:39
16,717
-15
3 Sept 2026, 09:23
16,732
-9
2 Sept 2026, 03:33
16,741
-5
1 Sept 2026, 06:36
16,746
-12
31 Aug 2026, 04:35
16,758
-6
30 Aug 2026, 07:47
16,764
-5
29 Aug 2026, 06:34
16,769
-5
28 Aug 2026, 04:04
16,774
-7
27 Aug 2026, 02:03
16,781
-6
26 Aug 2026, 01:29
16,787
-4
25 Aug 2026, 00:13
16,791
-9
23 Aug 2026, 10:06
16,800
-9
21 Aug 2026, 22:16
16,809
-5
20 Aug 2026, 15:55
16,814
first reading
Engagement
51 posts held, back to 3 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.0%
avg views ÷ 16,663 subscribers
Avg views / post
2,670
6 posts measured
Reaction rate
6.71%
reactions ÷ views · ER floor
Posts in window
6
of 51 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
51 (3 August 2026 – 2 September 2026)
Views total
16,030
Reactions total
1,076
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:38 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
9m 08s
Average length
34s
Measured directly from 16 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
7,834 reactions across 51 posts, in 22 distinct kinds. The most used accounts for 68.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,398
68.9%
😁
978
12.5%
🎉
324
4.14%
👍
324
4.14%
🥰
202
2.58%
😨
88
1.12%
😱
83
1.06%
💯
63
0.804%
🤩
59
0.753%
✍
58
0.74%
😍
58
0.74%
💔
53
0.677%
😐
53
0.677%
👌
27
0.345%
🌚
20
0.255%
🕊
12
0.153%
🍾
11
0.14%
💘
9
0.115%
👏
5
0.064%
🤷♀
5
0.064%
2 further kinds
4
0.051%
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 51 of the 51 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 7,834 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 3 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.
Telegram Stars
Stars received
7
across the posts below
Posts paid on
5
of 51 we hold a reading for · 10%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @skazki_zlatovlaskii. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 51 most recent posts we hold for this entry, published 3 August 2026 to 2 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
1.96%
1 of 51 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
3,090
over 1 measured post
Median views · rest
3,150
over 50 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFJa8MQu
1
20 August 2026
20 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 51 most recent posts we hold, published 3 August 2026 to 2 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Продолжаем тему анти пигмента
А сегодня вообще будет самый сок - дешево и сердито ,но с нюансами, но хорошо
Но немного предюдии
Марка Seveki , я так понимаю, пережила реинкарнацию. Поменялись тюбики, составы и позиционирование
Я пробовала неск лет назад сыворотку и покрылась жуткими подкожными воспалениями, тыщу лет не было , а нате получите
С тех пор плевала в экран, видя Марку , хотя они предлагались на рекламу, н…
Ооох, завершили 1 сентября
За 5 мин до выхода Лёня выдрал пуговицу на брюках, облил красивую рубашечку Лайм, потерял третий галстук
Начало положено 💪🏼
В добрый путь всем школьникам, студентам и сочувствующим 🥂
Показывайте ваших нарядных красавчиков, такими свежими и нарядными теперь увидимся только на последний звонок
Следующий лот на розыгрыш
💧Лифтинг для лица Janssen с коллагеном
💧Разглаживающий крем лифтинг для глаз Janssen
Выберем по комментариям с помощью рандомайзера, первый приз уже поехал в Москву
☎Посоветуйте любой совет по учебе
Лучшие рубашки, канцелярия, как путем подкупа, шантажа или угроз привить любовь к учебе, как не нервничать, лучший рюкзак и обувь для маленьких и больших вредителей. Все что знаете, надо перед…
Прохалявила все лето, да что там , к августу вообще совесть потеряла и встаю теперь около 10 утра
Дети обучились завтраки себе и папочке готовить, освоили омлеты, глазуньи, роти и всякие горячие бутерброды с вариациями 🙂↕️
Ну а завтра карета превращается в тыкву, и придется вставать не свет ни заря собирать в школу и довозить школотронов🗣️🗣️
Это ладно, у меня есть одно чудненькое средство от отеков и для тонуса ко…
Последние выходные этого лета были на высоте 😍
Не верится, но все, скоро школы, осень и вся эта суета
Что у вас самого яркого было ?
У меня + 1 новая страна,но Вьетнам как-то не стал любимкой. Зато поездка недалеко от дома на Дон она в самое ❤️
Было так много посиделок дружеских теплых, дети подросли и уже оно попроще да полегче
Это было хорошо, жаль что быстро
Я ничего не забыла
Наш победитель Кайфуля 🐾
https://randstuff.ru/wintg/9kgm8t/
На след неделю уже подготовила хороший жирный подарочек, всего 2 лота, но будет богато, не переключайтесь
Наша любимая рубрика #избачитальня в деле 📚
делимся книгами за месяц
📘 «Лес» Тюльбашева
Сначала было интересно, потом скучновато, а затем затянуло. Конец вообще 🔥
Закручено наверчено, взрослая сказка-детектив
📔 «Полина Сергеевна»
Трогательная нежная книга
Семейная история, книга о женщине и для женщин
Хотелось бы больше объема в героях, не бывает только плохих и хороших людей
📕 «Ужасно катастрофический поход в зоопа…
🩷А вот еще про патчи забыла рассказать
❤️Купила наконец-то D’alba, хоть и морально как-то сопротивлялась
А патчи-то реально хороши
Напитывают кожу, увлажняют. Приятное чувство плотной кожи под глазами, зря выделывалась как муха на стекле 🪰
Единственное, что когда только надеваешь, чуть сползают, надо немножко полежать, что бы схватились , но полежать я не против
❤️И неуловимые патчи от VT
Завялены от отеков кофеина…
Новый товарищ для нежного умывания щечек, которые не хотят очищения до скрипа, нарушенного защитного барьера, сверхчувствительности и раздражения на все и вся.
💧FRNDLY beauty Гель для умывания с увлажняющим комплексом с центеллой азиатской и морской водой
Это представитель умеренно пенящихся средств, которые я так уважаю за их бережное очищение. У меня сейчас очень активный уход, в умывании нужен деликатный и шелк…
26 августа так-то на дворе, ныть что лето прошло официально уже можно 🤡
Пока этого не делаю , но любимые продукты августа уже наклепала, мне понравилась эта идея 🙌🏽
✴️было очень жарко, поэтому грязь мне очень полилась кстати . Зеленая баночка из Кореи, Clean+ из яблока ( сияния не дает)
✴️ Кремы для лица в основном идут в ночь, днем хватает тоника, сыворотки и санскрина
✴️Аллайз, ну что ты со мной делаешь, чувствую …
Девочки, вы умные, все знаете
Хочу купить такую штуку deep cube для сна
Сейчас миллион видео с ним от всяких хакеров-лайфхакеров,что включаешь кубик и спишь как лялечка
Оказалось что их еще и два - черный и белый, да еще нужна подписка как на Алису, ну это ок, сдюжим
У меня снова какие-то нервяки и дикие проблемы со сном, запись к доктору по головушке аж на конец сентября, а хочется спать сейчас
Может кто купил…
Как-то мы не за дружили
Олаплекс красит как зверь
Руки, ванну, кожу головы
2-3 мин время экспозиции и все
Почему-то даже за это время часть обесцвеченных локонов становится как у бабушек нежного баклажанного цвета .. бесит 😒
Дсд 4.1.1 такого себе не позволял, буду возвращаться
Блонды, что у вас любимого для нейтрализации желтизны ?
😨76❤35😁5😐4
Showing the 12 most recent of 51 posts we hold for @skazki_zlatovlaskii. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
BEAUTY HUB @immelybeauty · 23,495 Telegram ranks this channel #10 of 81 here — alongside 80 others — read 18 September 2026
Виктория Моисеева @koffkamk · 24,868 Telegram ranks this channel #16 of 70 here — alongside 69 others — read 15 September 2026
Лёгкий быт с Аидой Prodom @aidaprodom · 313,589 Telegram ranks this channel #24 of 77 here — alongside 76 others — read 10 August 2026
Кожаная Госпожа @skingospozha · 24,444 Telegram ranks this channel #27 of 83 here — alongside 82 others — read 16 September 2026
Химичу и разбираю косметику @dushechkacosm · 20,791 Telegram ranks this channel #33 of 83 here — alongside 82 others — read 26 September 2026
Красота | Бьюти Мышь🤫🐭 @apriorimakeupp · 25,551 Telegram ranks this channel #34 of 82 here — alongside 81 others — read 15 September 2026
Болтушка от прыщей @sovaznaet · 23,252 Telegram ranks this channel #35 of 83 here — alongside 82 others — read 18 September 2026
ANANASSKIN🧴PRO КОЖУ И УХОД @ananasskin · 35,032 Telegram ranks this channel #36 of 80 here — alongside 79 others — read 2 September 2026
Бесит всё @beauty_besit · 28,890 Telegram ranks this channel #48 of 89 here — alongside 88 others — read 9 September 2026
фрисби @skidka_wow · 34,455 Telegram ranks this channel #49 of 75 here — alongside 74 others — read 12 September 2026
1001 маска @maska1001 · 21,504 Telegram ranks this channel #56 of 81 here — alongside 80 others — read 23 September 2026
Dasha Lebedeva ✨ макияж/косметика/бьюти/скидки @lebedeva_dari_live · 24,497 Telegram ranks this channel #58 of 86 here — alongside 85 others — read 16 September 2026
Пополняю косметички @olyssblog · 26,724 Telegram ranks this channel #60 of 86 here — alongside 85 others — read 12 September 2026
Правьте балом! @beautyarch · 22,654 Telegram ranks this channel #62 of 86 here — alongside 85 others — read 20 September 2026
Неудобный психолог @mamaterapia · 61,413 Telegram ranks this channel #62 of 82 here — alongside 81 others — read 22 August 2026
очень много косметики @myatnayajvachka · 26,015 Telegram ranks this channel #63 of 82 here — alongside 81 others — read 12 September 2026
Косметический маньяк @cosmetman_com · 26,917 Telegram ranks this channel #63 of 88 here — alongside 87 others — read 11 September 2026
the_ksusha @the_ksusha_foodblog · 150,974 Telegram ranks this channel #67 of 76 here — alongside 75 others — read 12 August 2026
BEAUTY PLEASURE✨ @beauty_pleasure · 34,341 Telegram ranks this channel #68 of 84 here — alongside 83 others — read 4 September 2026
BLACK MORION @blackmorion · 28,908 Telegram ranks this channel #71 of 85 here — alongside 84 others — read 9 September 2026
BEAUTY BY GUBICHM @gubichmmmmm · 24,875 Telegram ranks this channel #75 of 85 here — alongside 84 others — read 15 September 2026
Взгляд химика на крем @Lenaprokosmetiku · 52,558 Telegram ranks this channel #76 of 84 here — alongside 83 others — read 24 August 2026
This channel appears in 22 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.
“Сказки_златовласки” (@skazki_zlatovlaskii), 16,663 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/skazki_zlatovlaskii.
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.