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 9 September 2026 and assigned it the closest of 31 fixed categories, at 33% 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 the other topics.
Growth
62 measurements spanning 93 days, net -676. 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 35,997–36,875 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
8 Nov 2026, 09:56
36,098
-17
7 Nov 2026, 07:34
36,115
-10
6 Nov 2026, 05:36
36,125
-5
5 Nov 2026, 07:58
36,130
-7
4 Nov 2026, 10:17
36,137
-10
3 Nov 2026, 10:35
36,147
-14
2 Nov 2026, 10:25
36,161
-15
1 Nov 2026, 11:56
36,176
-9
31 Oct 2026, 10:17
36,185
-14
30 Oct 2026, 13:16
36,199
-22
29 Oct 2026, 12:05
36,221
-4
28 Oct 2026, 12:36
36,225
+1
27 Oct 2026, 14:16
36,224
-3
26 Oct 2026, 16:37
36,227
-7
25 Oct 2026, 20:06
36,234
-13
24 Oct 2026, 22:29
36,247
-3
24 Oct 2026, 01:07
36,250
-12
23 Oct 2026, 03:50
36,262
-20
22 Oct 2026, 06:40
36,282
-20
20 Oct 2026, 22:27
36,302
first reading
Engagement
144 posts held, back to 28 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 171 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.46%
avg views ÷ 36,098 subscribers
Avg views / post
1,970
36 posts measured
Reaction rate
0.685%
reactions ÷ views · ER floor
Posts in window
36
of 144 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. It is computed over the 35 of 36 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 November 2026
Posts held
144 (28 July 2026 – 7 November 2026)
Views total
70,955
Reactions total
470
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 04:58 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
41m 18s
Average length
32s
Measured directly from 78 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
1,958 reactions across 139 posts, in 19 distinct kinds. The most used accounts for 47.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
933
47.7%
👍
347
17.7%
😁
243
12.4%
🔥
136
6.95%
🤣
115
5.87%
💯
40
2.04%
🥰
31
1.58%
👏
22
1.12%
😱
20
1.02%
👌
18
0.919%
❤🔥
14
0.715%
😘
9
0.46%
🤪
7
0.358%
💅
6
0.306%
🤔
5
0.255%
🤯
5
0.255%
🤗
4
0.204%
🥱
2
0.102%
🌚
1
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 141 of the 144 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 1,958 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 144 most recent posts we hold, published 28 July 2026 to 7 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 36 posts held from the last 30 days (5.56%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
А сколько инструментов у вас уходит на один педикюр? 👀
Если рабочий стол уже некуда ставить из-за фрез и насадок, возможно, дело не в количестве инструментов, а в технике.
❗️Дисковый педикюр позволяет одной насадкой обработать стопу, убрать трещины и добиться той самой гладкости [без постоянной смены инструментов]
И самое приятное меньше расходников, меньше лишних движений и больше довольных клиентов 💅🏻
Если давн…
У мастера маникюра есть свои маленькие ритуалы заботы о рабочем месте
Чистота, порядок и внимание к деталям - это не только про красивый кабинет, но и про комфорт в течение всего рабочего дня.
Даже такие мелочи, как своевременная замена фильтра вытяжки, имеют значение. Ведь забота о себе начинается с того, в каких условиях мы работаем 💯
А вы как часто проверяете состояние своей вытяжки?
Что будет, если перепутать базу с топом?😨
Вы нанесли «базовое» покрытие, просушили, увидели прекрасный блеск… и осознали: это финишный слой! Что делать?
☝🏻Если вы заметили это на этапе выполнения нескольких ногтей, то желательно выполнить снятие.
Но что если вы поняли ошибку слишком поздно?
Не стоит сильно переживать, такое может случиться с каждым! Но все-таки будьте внимательны.
☝🏻Риск отслоек есть, так как у …
Пока одни мастера тратят по 3 часа на наращивание с френчем, другие делают дизайн прямо в верхней форме и почти не тратят время на опил 😍
И дело не в скорости рук! С помощью верхних форм можно сразу получить готовую архитектуру и дизайн: классический френч, двойную улыбку или аквафренч. Без отдельной прорисовки и долгой доработки поверхности.
Звучит просто, но есть нюанс 👀
Если при обычном моделировании гель посто…
После дискового педикюра пятки могут выглядеть хуже, чем до него? К сожалению, да 😬
Если неправильно подобрать абразив, долго задерживаться на одном участке или плохо контролировать движение диска, вместо гладкой кожи можно получить ожог и ещё больше проблем.
Здесь важны не только техника, но и понимание, с какой кожей вы работаете и как именно нужно держать и вести диск 💅🏻
Если хотите научиться делать дисковый пе…
📆 Расписание живых курсов школы Sakramel на ноябрь
📍Москва
05.11 Френч перезагрузка + комбинированный маникюр фрезой и ножничками - 1 место 🔥
06.11 Укрепление ногтей гелем - 1 место 🔥
07-09.11 Базовый маникюр+ гель-лак + френч - 1 место 🔥
10.11 Современный маникюр - 1 место 🔥
10.11 Педикюр - 2 места 🔥
12.11 Педикюр 2.0- 2 места🔥
15.11 Наращивание на верхние формы - 1 место 🔥
19.11 Педикюр - 1 место 🔥
20.11 …
Апекс «бегает» по ногтю? 👀
На длинных ногтях он будто ближе к кутикуле, а на коротких к центру. Почему так кажется и где он должен находиться на самом деле? Давайте разбираться ⬇️
Апекс – самая высокая точка продольной арки, которую оценивают при взгляде сбоку. В схеме ориентиром для его расположения служит центр ногтевого ложа, а не середина всей длины ногтя.
А теперь разберёмся: ногтевое ложе и ногтевая пластина…
Три месяца носки и стопа всё равно может выглядеть вот так 😍 Главное не просто снять старый материал, а правильно оценить исходник и подобрать обработку под состояние кожи.
Тальк для влажной стопы, грамотная работа с кутикулой, диском и финишная полировка. Именно из таких деталей складывается тот самый чистый результат 💅🏻
Если хотите научиться делать такой педикюр самостоятельно, курс «Дисковый педикюр» сейчас можн…
Ты делаешь это неправильно?🤔
Чистый срез зависит не только от заточки инструмента. Важна подготовительная работа и правильная техника.
Давайте разберём самые основные ошибки среза кутикулы!
1️⃣ На начальном этапе важно хорошо раскрыть подкутикульный карман и убрать склейки. Это можно сделать апельсиновой палочкой или пушером. В дальнейшем вам будем намного проще сделать маникюр.
2️⃣ Ошибки в работе фрезой. Если п…
ПОСПЕШИЛИ с маникюром. Разгребаем последствия! Укрепление коротких ногтей гелем
Маникюр за 40 минут — быстро, но какой результат? Сколы, слезший топ и неаккуратное покрытие! Именно с такими ногтями ко мне пришла модель. Будем исправлять!
В прошлый раз мастер выполнил выравнивание ногтей тонким слоем базы, но не выстроил правильную архитектуру. В результате покрытие не выдержало нагрузки. В этом ролике покажу другой…
Желание клиента - закон 😀 Мастер все правильно сделал?
Подписаться на Sakramel
😁31🤣13❤2
Showing the 12 most recent of 144 posts we hold for @sakramelschool. 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
@sakramelschool 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
11 August 2026
Most recent edit
11 August 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 11 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Лаврентьева Алена @alena_lavrenteva_nail · 64,270 Telegram ranks this channel #8 of 58 here — alongside 57 others — read 11 September 2026
Пошаговый дизайн ногтей | Маникюр @mkmanicur · 24,186 Telegram ranks this channel #34 of 67 here — alongside 66 others — read 16 September 2026
This channel appears in 2 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“САКРАМЕЛ” (@sakramelschool), 36,098 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/sakramelschool.
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.