Education — a classification, not a measurement. An on-box language model (qwen3.6:35b-a3b, prompt version 1) read this channel’s own recent posts on 20 October 2026 and assigned it the closest of 31 fixed categories, at 87% 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
7 measurements spanning 34 days, net +1. 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 414–415 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Nov 2026, 23:38
415
+1
27 Oct 2026, 01:45
414
-1
20 Oct 2026, 16:17
415
+1
14 Oct 2026, 05:50
414
-1
6 Oct 2026, 00:42
415
+1
1 Oct 2026, 03:22
414
no change
1 Oct 2026, 02:47
414
first reading
Engagement
12 posts held, back to 29 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 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 12 posts for this entry, the most recent from 22 September 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
17s
Average length
17s
Measured directly from 1 video 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
122 reactions across 10 posts, in 21 distinct kinds. The most used accounts for 18.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
22
18.0%
❤🔥
17
13.9%
🤩
15
12.3%
❤
11
9.02%
😁
9
7.38%
👏
6
4.92%
😍
6
4.92%
👍
5
4.10%
🤔
5
4.10%
👌
4
3.28%
👨💻
4
3.28%
👾
3
2.46%
🤪
3
2.46%
✍
2
1.64%
😱
2
1.64%
🙏
2
1.64%
🫡
2
1.64%
🏆
1
0.82%
💯
1
0.82%
🤡
1
0.82%
1 further kind
1
0.82%
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 10 of the 12 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 122 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 29 August 2026 to 22 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.
Что может измениться в правилах поступления в вузы в следующем учебном году
Одно из основых изменений - можно сдать 4 ЕГЭ, 3 основных и один дополнительный (например, поступаем по матем + рус + инф, дополнительно сдаём физику и получаем за это от 15 до 25 доп. баллов).
Контент выходного дня
Обещанный мастер-класс «Как поймать игрушку в автомате-хватайке» по просьбам трудящихся
1. Выбираем небольшую игрушку, лежащую сверху примерно в центре кучи (по краям клешня не дотянется из-за особенностей конструкции, но можно брать спереди, даже вплотную к стеклу).
2. Крупные игрушки не рассматриваем (дело даже не в размере, а в том, что они тяжелые: схватить их можно, но поднять уже вряд л…
Какие курсы для вас наиболее актуальны, и вы бы хотели их пройти в первую очередь?
Подготовка к ОГЭ (для школьников)6%
Подготовка к ЕГЭ (для школьников)17%
Алгоритмы и структуры данных (для широкой аудитории)45%
Методика подготовки к ЕГЭ (для учителей)43%
Методика преподавания информатики на базовом уровне в 5-11 классах (для учителей)28%
Методика преподавания информатики на углубленном уровне в 7-11 классах (для учителей)25%
Искусственный интеллект (для школьников)23%
The shares total 187%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
В этом учебном году я решила не забивать себе расписание уроками, а оставить время для методической работы и начать уже создавать новые массовые курсы по выгодной цене (публиковаться будут на Stepik).
Хочется постепенно оцифровать и увековечить свой опыт и сделать его доступным для всех желающих.
Идей очень много и понятно, что все разом не воплотить, но тут вы можете мне помочь, проголосовав в опроснике ниже ⬇️
Советская восьмибитная персональнвя ЭВМ Апогей (эх, еще и в таком цвете, я бы точно купила 🙃).
Кстати, это не отдельная клавиатура, весь компьютер находится в едином корпусе.
Замечаете, что необычного в английской раскладке?
Как можно со мной поработать в этом учебном году
Основной формат взаимодействия, который я оставляю на этот учебный год - это онлайн-занятия в небольших группах (не более 5 человек) по классам, начиная с 7-го.
Если ваш ребенок сейчас в 7 - 11 классе и вы хотите, чтобы он
▫️изучал информатику на углубленном уровне
▫️уверенно программировал
▫️грамотно использовал нейросети
▫️был готов к сдаче ВПР, ОГЭ и ЕГЭ на максим…
Ну, что, завтра в школу 🥲
Если честно, я даже не успела выложить информацию о наборе учеников на новый учебный год, потому что желающие писали мне сами с середины июля, но места еще есть, поэтому ⬇️
Showing the 12 most recent of 12 posts we hold for @olga_informatika. 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.
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.
Какие курсы для вас наиболее актуальны, и вы бы хотели их пройти в первую очередь?
Подготовка к ОГЭ (для школьников)6%
Подготовка к ЕГЭ (для школьников)17%
Алгоритмы и структуры данных (для широкой аудитории)45%
Методика подготовки к ЕГЭ (для учителей)43%
Методика преподавания информатики на базовом уровне в 5-11 классах (для учителей)28%
Методика преподавания информатики на углубленном уровне в 7-11 классах (для учителей)25%
Искусственный интеллект (для школьников)23%
The shares total 187%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 12 most recent posts we hold, published 29 August 2026 to 22 September 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.
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.
Радио 7 на семи холмах @radio7_official · 19,540 Telegram ranks this channel #84 of 84 here — alongside 83 others — read 1 October 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“Оля | Информатика” (@olga_informatika), 415 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/olga_informatika.
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.