Education — 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 90% 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 -180. 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 29,617–29,860 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, 23:42
29,647
+2
16 Sept 2026, 12:16
29,645
-5
14 Sept 2026, 19:56
29,650
-5
13 Sept 2026, 03:58
29,655
-5
11 Sept 2026, 05:55
29,660
-11
5 Sept 2026, 06:57
29,671
-7
3 Sept 2026, 11:55
29,678
-10
2 Sept 2026, 03:42
29,688
-4
1 Sept 2026, 05:13
29,692
-3
31 Aug 2026, 03:36
29,695
-2
29 Aug 2026, 05:53
29,697
-1
28 Aug 2026, 06:18
29,698
+1
27 Aug 2026, 05:35
29,697
+1
26 Aug 2026, 06:29
29,696
-5
25 Aug 2026, 04:43
29,701
+3
23 Aug 2026, 23:37
29,698
-5
22 Aug 2026, 09:07
29,703
-3
20 Aug 2026, 21:37
29,706
-8
19 Aug 2026, 20:22
29,714
-4
18 Aug 2026, 23:14
29,718
first reading
Engagement
15 posts held, back to 5 April 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.5%
avg views ÷ 29,647 subscribers
Avg views / post
3,100
1 post measured
Reaction rate
12.0%
reactions ÷ views · ER floor
Posts in window
1
of 15 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 24 September 2026
Posts held
15 (5 April 2025 – 24 September 2026)
Views total
3,100
Reactions total
373
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Sept 2026, 05:55 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
Photos
8
Videos
65
Links
63
Lifetime counters from Telegram’s own channel header, read 25 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
35m 08s
Average length
5m 01s
Measured directly from 7 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
10,659 reactions across 14 posts, in 32 distinct kinds. The most used accounts for 56.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
6,049
56.8%
❤
2,699
25.3%
👍
798
7.49%
❤🔥
568
5.33%
👏
132
1.24%
🎉
105
0.985%
🙏
47
0.441%
🍾
44
0.413%
🥰
40
0.375%
🏆
25
0.235%
💯
18
0.169%
🦄
16
0.15%
💘
13
0.122%
😍
12
0.113%
😘
12
0.113%
🤗
12
0.113%
👌
11
0.103%
💋
11
0.103%
🆒
8
0.075%
👎
6
0.056%
12 further kinds
33
0.31%
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 14 of the 15 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 10,659 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 5 April 2025 to 24 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
146
across the posts below
Posts paid on
6
of 14 we hold a reading for · 43%
Most on one post
108
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sasha_vocal. 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 15 most recent posts we hold for this entry, published 5 April 2025 to 24 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.
Мы тут разворошили змеиный клубок! 🐍
Я всегда знала, что «Интуитивное пение» и мой успех в соцсетях для многих педагогов как кость в горле. Но не думала, что настолько.
Некоторые коллеги из EVT почему-то решили, что их методика единственно правильная, а все остальные занимаются ерундой.
Дорогие, знаю, вы меня читаете 😉 EVT действительно крутая методика. Но поверьте не единственная рабочая.
И с новичками, детьми и …
🔥Вы конечно крутые! Столько оставили реакций в прошлом посте, теперь я просто обязана выложить прожарку для голоса №6
И уже это сделала, смотреть здесь
В комментариях под этим постом я разыграла мою личную экспресс консультацию
⭐️Ну и по традиции, если соберем больше 300 реакций - выложу Прожарку №7 и дам доступ ко всем минусовкам.
P.S.
🤝Я свои обещания держу железно, так как собрали больше 300 реакций под прошлы…
🚨Ребята срочный сбор! Ютюб совсем умер у вас? Или ещё тянет?
Вчера выпустила пятую юбилейную прожарку для голоса! 🎉
Это формат - включил и сразу тренируешься.
На мой взгляд лучшая тренировка в таком формате сейчас. И всего 7 минут в день.
Есть тут олды кто любит мои прожарки и распевки ставьте - 🔥
Посмотреть полную тренировку тут
P.S.
🥹Боже, я реально соскучилась по длинным роликам.
Если соберем больше 300 реакц…
🤔Ну вы как? Телега жива у вас?
🔥 - Обязательно поставьте реакцию если вы тут
👍 - Если вы хотите альтернативу (замену телеги)
Быстро по новостям:
1. Мы готовим приложение для айфона и андроид (сама в шоке 😳). Не пропустите анонс будет тут.
2. Мы получили патент на «Интуитивное пение»
3. Я открываю международную школу вокала в Буэнос Айресе
4. У меня выходит книга на английском “Intuitive singing method” и я еду…
💔Иван украл моё сердце.
Когда я его услышала, то сразу поняла - нам нужно встретиться. Мы должны знать как он это делает.
Оперный певец, который смог органично вписаться в эстрадную манеру пения.
Без перегибов и «не пошло» (да простит нас Басков)
Его голос сохранил мощность, но при этом зазвучал совсем иначе.
Этот талантливый человек - солист группы Beautiful boys Иван Подгороднев.
Их песня «Такая нежная любовь», …
Я ждала этот хейтерскрй комментарий 5 лет!
Такой длинный путь я прошла, столько мучений и денег забрал этот процесс.
🤫Сейчас поделюсь очень личным.
Первое видео - 2018 год. Посмотрите внимательно на нижние зубы. Тогда каждый второй мне писал: «Что с зубами»? 😬
Кстати мне тогда казалось, что всё нормально 🤷🏻♀️
Второе видео - 2025 год, такая я сейчас.
По мимо кривых зубов, мы исправили глубокий прикус.
Как думает…
Я хочу сделать громкое заявление. Готовы?
В голосе есть «скрытый уровень». Если растормошить именно его, высвобождается нереальный потенциал, который годами спал.
Этот потенциал, «скрытый уровень», я назвала - 3 базовых звука.
🎟Эти 3 звука - билет «к вашему таланту от природы». Даже так, прикиньте?
То есть ваш голос буквально «перепрошивается» и начинает звучать так, как всегда должен был.
🤔Давайте по другому.
Пр…
Нет, это не «подсадная утка», это реальная история, которая случилась с моей ученицей Аней.
🤔Как вы думаете может ли человек, без опыта занятий с голосом написать и исполнить собственную песню?
А я говорю, что может! Если грамотно подойти к занятиям и иметь такую «космическую» команду как у меня.
Каждый раз переслушиваю и восхищаюсь стойкостью и талантом Ани.
💯У многих людей есть потенциал, который просто не раск…
Уроки вокала от Саши pinned «Вам точно это не понравится , но кто-то должен это сказать. Хватит бесконечно «долбать» эти упражнения! В погоне за упражнениями и распевками, изучением анатомии голоса, сложных вокальных техник, мы забываем зачем вообще решили заняться вокалом. ⭐️Это…»
Вам точно это не понравится , но кто-то должен это сказать.
Хватит бесконечно «долбать» эти упражнения!
В погоне за упражнениями и распевками, изучением анатомии голоса, сложных вокальных техник, мы забываем зачем вообще решили заняться вокалом.
⭐️Это петь песни. Те самые, о которых давно мечтали. Сесть в компании друзей и как выдать, чтобы все рты пооткрывали.
Я хочу, нет я умоляю,🙏🏻 если вы не педагог вам не нуж…
Поздравьте меня, я стала вокальным блогером №1 по количеству подписчиков и просмотров
*официальная статистика по 4 соцсетям: YouTube, запрещёнка, Tg, Vk
И знаете в чём мой секрет? Почему мои видео набирают миллионы просмотров
Я не боюсь давать реальную пользу здесь и сейчас. Без всяких там «заманух» и сложностей. Люди не дураки, они всё видят и считывают фальшь в момент.
Пишу я это не ради хвастовства. А ради фан…
🔥711❤236🎉98❤🔥53👍45🍾44👏21💘7
Signed Alexandra Stroiceva
Showing the 12 most recent of 15 posts we hold for @sasha_vocal. 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.
Posts edited after publishing
@sasha_vocal edited 2 posts 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
12 August 2026
Most recent edit
19 September 2026
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Уроки вокала от Саши” (@sasha_vocal), 29,647 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/sasha_vocal.
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.