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 19 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
8 measurements spanning 39 days, net -9. 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 899–912 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 06:15
901
+1
6 Sept 2026, 17:16
900
-5
29 Aug 2026, 22:37
905
+4
21 Aug 2026, 22:14
901
-4
14 Aug 2026, 08:05
905
-4
7 Aug 2026, 20:25
909
-1
6 Aug 2026, 22:15
910
no change
6 Aug 2026, 22:03
910
first reading
Engagement
20 posts held, back to 9 June 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
1,202 reactions across 20 posts, in 26 distinct kinds. The most used accounts for 28.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
339
28.2%
❤
177
14.7%
👍
98
8.15%
🥰
76
6.32%
✍
63
5.24%
🙏
54
4.49%
❤🔥
52
4.33%
😁
36
3.00%
🤝
35
2.91%
😎
32
2.66%
🤗
30
2.50%
👏
26
2.16%
🤓
26
2.16%
🕊
23
1.91%
💯
22
1.83%
😍
22
1.83%
😭
21
1.75%
🆒
18
1.50%
⚡
17
1.41%
🦄
15
1.25%
6 further kinds
20
1.66%
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 20 of the 20 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 1,202 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 9 June 2026 to 4 August 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
8
across the posts below
Posts paid on
6
of 20 we hold a reading for · 30%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @olgarobertovnazabirova. 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 20 most recent posts we hold for this entry, published 9 June 2026 to 4 August 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.
Моя система хранения материалов для уроков
▫️РАНЬШЕ▫️
Чаще писали в красивый блокнотах, тетрадях, планы уроков даже расписывали от руки ✍️
Было много распечатанного материала, всё это хранилось в папочках разного цвета, в файлах, чтобы ничего не помялось.
До сих пор храню так материалы, но уже реже что-то распечатываю или пишу в тетради. Но заметки делаю, важно иногда прописать план действий, отметить именно от р…
Как я готовлюсь к занятию по аутентике
Топ-5 пунктов, которые нужно обязательно учитывать
▫️подбор достоверного источника информации
▫️ выбор статьи с полезной лексикой на актуальную тему
▫️ составление списка слов, связанных с темой статьи (например, с помощью quizlet)
▫️ определение активного вокабуляра для обсуждения вопросов по статье
▫️подготовка вопросов, которые помогут организовать и стимулировать живое…
Ответ на какой вопрос актуальнее: "Быть или не быть?" или "Может ли отличных материалов для уроков быть слишком много?" Хотя ответ @infOasis знает и так — глаза разбегаются, а руки загребаются 💜
🌴 Урок для подростков "Things you need to do before back to school"
🥥 Разработка по body parts на Genially для детей
🌴 Пэк презентаций к учебнику Spotlight 3
🥥 Тренажёр по чтению для маленьких учеников
🌴 Pirates of the C…
Happy World Brain Day, guys!
Вчера был Всемирный День Мозга 🧠Ежегодно отмечается 22 июля ▫️
В этой связи предлагаю вспомнить распространенные идиомы на английском со словом ‘brain’.
Three idioms with the word ‘brain’ 🧠
▫️To rack your brains (‘brain’ in AE) =to think very hard
▫️To have smth on the brain =to not be able to stop thinking or talking about one particular thing
▫️To pick someone’s brains = to ask sm…
Is being a mom a hobby ?!
Sometimes it is, yes, cause it’s like learning a lot of new things, sometimes it’s so hard, and you think you are transforming into another person. So it helps you develop your skills 😅🔥👍
Moreover, you get great pleasure and excitement, and pure happiness to be in the moment with your child. These emotions are priceless…
It’s more than a hobby, but still can be treated as a good one 😅
Re…
Важное напоминание 👆🙌
Врываемся в июль с боевым настроем ▫️▫️
Мне очень важно найти правильное решение в связи с изменением обстоятельств. Пришли инсайты, которые нужно осознать…
Пожелайте мне удачи в восстановлении справедливости в этом мире хотя бы на капельку! 🤏
▫️▫️▫️▫️▫️▫️
В качестве warm-up на занятии я часто задаю наводящие вопросы, которые связаны с тем, что удалось достичь за прошедший месяц и какие план…
#рекомендую_от_души
Я благодарна декрету и онлайн формату общения, и соцсетям за то, что дали возможность познакомиться с замечательными коллегами ▫️
Сегодня хочу рассказать Вам о прекрасной Елене, которая является выпускницей МГЛУ( Мориса Тореза), и репетитором с 2010 года.
Она успешно преподавала ВКИЯ в МГЛУ и в МИД дипломатам.
В Telegram-канале Елены - разбор мемов, новостей, статей, комментариев и актуальны…
День памяти Майкла Джексона
Yesterday, on the 25th of June, in every corner of the world people commemorated Michael Jackson and his legacy ▫️▫️
Вчера я поделилась уроком, который посвящен фильму «Майкл».
This Summer Movie Number One ‘ Michael’ Affirmations and their Power
Michael Lesson 🍿
Уровень: A2-B1+
Формат: Holst
В уроке:
- Warming-up Discussion.
▫️What is an affirmation?
▫️Why is it helpful?
▫️Affirmations…
❤🔥31🔥27✍20🤗8🦄2🆒1
Showing the 12 most recent of 20 posts we hold for @olgarobertovnazabirova. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Хочу организовать онлайн встречу и обсудить фильм «Майкл» на английском. Придёте?
Да24%
Конечно29%
Зависит от условий участия43%
Нет5%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 9 June 2026 to 4 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 2 registered channels — 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Olga_English.ru🎓” (@olgarobertovnazabirova), 901 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/olgarobertovnazabirova.
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.