Ecommerce storefront — 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 79% 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
27 measurements spanning 42 days, net -25. 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 11,886–11,930 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:19
11,891
-2
14 Sept 2026, 19:55
11,893
-4
11 Sept 2026, 08:00
11,897
+4
8 Sept 2026, 16:16
11,893
-2
5 Sept 2026, 07:20
11,895
-6
2 Sept 2026, 01:29
11,901
-6
31 Aug 2026, 23:18
11,907
-4
30 Aug 2026, 21:34
11,911
-1
30 Aug 2026, 00:55
11,912
-3
29 Aug 2026, 00:34
11,915
-3
28 Aug 2026, 00:58
11,918
-1
27 Aug 2026, 03:54
11,919
+3
26 Aug 2026, 02:35
11,916
+2
25 Aug 2026, 04:36
11,914
-3
24 Aug 2026, 02:08
11,917
-1
21 Aug 2026, 01:33
11,918
-2
18 Aug 2026, 21:35
11,920
+1
17 Aug 2026, 18:09
11,919
-3
16 Aug 2026, 16:53
11,922
-3
14 Aug 2026, 23:52
11,925
first reading
Engagement
40 posts held, back to 18 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.6%
avg views ÷ 11,891 subscribers
Avg views / post
1,260
8 posts measured
Reaction rate
2.14%
reactions ÷ views · ER floor
Posts in window
8
of 40 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 1 September 2026
Posts held
40 (18 July 2026 – 1 September 2026)
Views total
10,046
Reactions total
215
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 23:33 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
29m 04s
Average length
46s
Measured directly from 38 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
1,171 reactions across 40 posts, in 22 distinct kinds. The most used accounts for 38.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
448
38.3%
🔥
328
28.0%
👍
220
18.8%
❤🔥
68
5.81%
👏
36
3.07%
🤗
14
1.20%
✍
13
1.11%
🥰
11
0.939%
🤝
7
0.598%
💋
5
0.427%
💅
3
0.256%
🙏
3
0.256%
🎉
2
0.171%
😁
2
0.171%
😇
2
0.171%
😎
2
0.171%
🤩
2
0.171%
🍓
1
0.085%
👌
1
0.085%
💔
1
0.085%
2 further kinds
2
0.171%
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 40 of the 40 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 1,171 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 18 July 2026 to 1 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
1
across the posts below
Posts paid on
1
of 40 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @alekseeva_blond_shcool. 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 40 most recent posts we hold for this entry, published 18 July 2026 to 1 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.
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🔹 20–30 г шампуня для окрашенных волос или стабилизатора
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💡 Хочешь нейтрализовать оттенок?
— Используй комплимент…
Форму я купила сама примерно год назад ☝🏻
До сих пор она шикарна , а клиенты спрашивают ссылку , думают что это такой костюм на выход 😁
Просто смотрится и выглядит реально классно 👍
Сохрани на всякий ссылку и артикул 👌🏻
Да- да я тоже долго «жопилась» на хорошую форму!
Но поверьте , я стоооолько вещей спасла от окрашивания и обесцвечивания!
Избавилась наконец от фартука ( он то и придавал вид униформы)
wildberri…
Мой набор занимает всего 1,5 часа — и вот почему:
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— простая универсальная схема;
— 1 конверт вместо 2–3 у других мастеров! ☝🏻
А ещё — подборка фольги для ВАУ‑эффекта 🤩
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https://www.wildberries.ru/catalog/687265773/detail.…
Мои клиенты массово переходят на «Контуринг»!
1. Это очень быстро 🚀
2. Эффект полноценного окрашивания ☝🏻
3. Можно делать по-разному: от ярких акцентов до естественных бликов 🔥
4. Это очень освежает лицо 😍
А для мастера сплошные плюсы!
+ Про скорость я уже сказала! 🚀
+ Затрата материалов просто смешная по сравнению с полноценной техникой 🔥
+ В карман попадает больше денюжек 🤑
+ Вы бережёте волосы клиента = вам благ…
🎨 РЕЦЕПТ КОРРЕКЦИИ ЦВЕТА👇
Исходная база: 5 УГТ + рассеянная седина на корнях примерно 4 см.
1️⃣ Этап — затемнение
Полуперманентный краситель CEHKO:
• 5.2 — пепельное направление
• + 4 см синего красителя Screen
Разводим с 3% окислителем.
⏱️ Время выдержки — 30 минут. ( не более)
2️⃣ Этап — матирование корней
Для матирования используем:
• перманентный краситель 3.0 — 12 см
или 6 г на 60 г 1,5% окислителя
• синий…
🚀Как уйти с найма, если очень хочется! Моя история!🚀
Сразу хочу сказать важную вещь: комфортная работа, формат занятости и приемлемый доход у каждого мастера свои.
Кому-то нравится работать в коллективе 👥, кому-то комфортнее одному. Кто-то выбирает стабильную зарплату, а кому-то важно самостоятельно регулировать свой доход и график.
В этом видео рассказываю, как этот путь проходила я 👇🏻
После курсов парикмахера я…
Ещё больше полезных лайфхаков ждёт вас на моей странице! 🚀
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♥️Онлайн школа 👇
https://alekseevablond.ru/school
♥️ ВК 👇
https://vk.com/alekseeva_kolorist
🚨 ЛАЙФХАК БЫСТРОГО НАБОРА
Один из моих любимых методов, особенно в коррекциях 👌🏻
Суть простая: мы не трогаем внутреннюю часть затылочной и височной зон, но обязательно тщательно прорабатываем краевые линии и коммерческую зону.
Что это даёт? 👇🏻
✨ Меньше волос оказывается в блонде — сохраняем качество
⏱️ Сокращаем время работы
🤍 Получаем визуальный эффект полноценного окрашивания
Но есть важный нюанс: обязательно …
🧪 Как протестировать свой бренд красителя?
В этом ролике показываю основные нюансы и правила тестирования корректоров и микстонов вашего бренда.
Почему это важно? 👇🏻
🎨 Тестирование помогает понять:
• какие цветовые нюансы и пигменты заложены в палитре;
• как ведут себя корректоры и микстоны в работе;
• насколько активно проявляется пигмент;
• как меняется оттенок в процессе выдержки.
⏱️ Отдельное внимание стоит у…
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1. Скриншот чека
2. Электронную почту, на которую был оформлен заказ
⚠️ Важно! Покупка должна быть не позднее чем за полгода.
‼️ВНИМАТЕЛЬНО 👇
✨ После оплаты продлятся все доступные курсы на вашем аккаунте 💐
❤5👍1🔥1🙏1
Showing the 12 most recent of 40 posts we hold for @alekseeva_blond_shcool. 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.
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.
“АЛЕКСЕЕВА КРАСИТ!” (@alekseeva_blond_shcool), 11,891 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/alekseeva_blond_shcool.
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.