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 18 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
11 measurements spanning 39 days, net -8. 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 1,343–1,361 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 11:59
1,351
+2
7 Sept 2026, 08:59
1,349
+4
2 Sept 2026, 14:28
1,345
-4
30 Aug 2026, 23:54
1,349
-3
24 Aug 2026, 07:48
1,352
+2
21 Aug 2026, 00:56
1,350
+1
17 Aug 2026, 22:12
1,349
-4
15 Aug 2026, 02:16
1,353
-2
11 Aug 2026, 22:56
1,355
-4
7 Aug 2026, 22:20
1,359
no change
7 Aug 2026, 22:04
1,359
first reading
Engagement
9 posts held, back to 30 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 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 9 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
23 reactions across 6 posts, in 8 distinct kinds. The most used accounts for 30.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
7
30.4%
❤🔥
4
17.4%
👍
3
13.0%
🤓
3
13.0%
custom 5454181713674520119
2
8.70%
💯
2
8.70%
custom 5420363334459344266
1
4.35%
🆒
1
4.35%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 6 of the 9 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 30 July 2026 to 7 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.
📚 Говорим с детьми о важном
Жизнь ребёнка полна вопросов, на которые иногда трудно найти ответы. Как говорить о различиях? Что делать с переполняющими эмоциями? Как решать конфликты с другими? Иногда нам, взрослым, непросто найти нужные слова, чтобы поддержать и объяснить.
Хорошая книга становится тем самым «безопасным мостиком», через который мы можем обсудить с ребёнком самое важное.
🔖 Сохраняйте подборку, чтобы…
The shares total 108%, 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.
🎭 «Сюжет без лица»
Сможете угадать, что за книгу мы спрятали? Правила такие: мы публикуем краткий пересказ сюжета, убирая все подробности. Ваша задача — понять, какая книга скрыта за этим описанием, и проголосовать за правильный вариант в опросе.
«Молодой дворянин, три года странствовавший по Европе, возвращается в Москву, полный свободомыслия и жажды перемен. Он сразу попадает в дом своего старого товарища, где вс…
🎁 Дарим подарки для активных путешествий и отличной учебы!
5 победителей получат вместительный рюкзак, скетчбук, пенал с канцелярией и наклейки.
Для участия нужно:
✔️ Быть подписчиком каналов в МАКС:
Москва о важном
About #Moscow
✔️ Нажать «Участвовать» под этим постом
19 августа с помощью бота выберем победителей. На момент вручения подарка необходимо находиться в Москве.
Желаем удачи!
⚪️ Москва о важном теперь…
📢 «Сюжет без лица»: ответ
Подводим итоги нашего опроса. Правильный ответ — «Гроза» Александра Островского.
В центре пьесы — Катерина, молодая купчиха с живой и поэтичной душой, которую душит деспотичная свекровь Кабаниха и безволие мужа Тихона. В этот замкнутый мир приезжает Борис, и между ними вспыхивает глубокое, но запретное чувство. Город наполняется слухами, и Катерина публично признаётся в своих тайных встреч…
Найди ошибку 🕵️
Минутка проверки грамотности! Одно из четырёх предложений составлено неверно. Голосуйте за свой вариант выше 👆🏻
#ДОНМ #ШколаКарамзина #ШколыКолледжиМосквы
🏫 Что важно уметь будущему первокласснику?
Вопрос подготовки к школе волнует каждую семью. Есть базовые вещи, которые помогают детям чувствовать себя комфортно и уверенно в новой среде.
📚 Подготовили для вас пост, который поможет сориентироваться и понять, на какие навыки стоит обратить внимание в первую очередь.
#ДОНМ #ШколаКарамзина #ШколыКолледжиМосквы
✅ Все столичные выпускники, выбравшие колледжи, зачислены на бюджетные места по выбранным специальностям
«Это более 41 тысячи девятиклассников, что на четыре тысячи больше, чем в прошлом году. Чтобы ребята могли учиться не только бесплатно, но и по интересным для себя направлениям, мы увеличили количество бюджетных мест и запустили удобный механизм зачисления», — рассказала заммэра Анастасия Ракова.
Приёмная кампа…
Showing the 9 most recent of 9 posts we hold for @mediakaramzina. 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.
The shares total 108%, 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 9 most recent posts we hold, published 30 July 2026 to 7 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
“Школа им. Н.М. Карамзина” (@mediakaramzina), 1,351 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/mediakaramzina.
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.
