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 11 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
12 measurements spanning 40 days, net +20. 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 9,931–9,985 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 10:58
9,979
+14
11 Sept 2026, 15:40
9,965
+4
7 Sept 2026, 07:55
9,961
+20
30 Aug 2026, 19:48
9,941
+1
24 Aug 2026, 23:29
9,940
+2
21 Aug 2026, 13:15
9,938
+1
18 Aug 2026, 12:04
9,937
-9
15 Aug 2026, 17:48
9,946
-1
12 Aug 2026, 07:03
9,947
-2
8 Aug 2026, 21:27
9,949
-10
6 Aug 2026, 02:49
9,959
no change
5 Aug 2026, 23:03
9,959
first reading
Engagement
31 posts held, back to 22 May 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 37 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.9%
avg views ÷ 9,979 subscribers
Avg views / post
1,390
1 post measured
Reaction rate
7.77%
reactions ÷ views · ER floor
Posts in window
1
of 31 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 27 August 2026
Posts held
31 (22 May 2026 – 27 August 2026)
Views total
1,390
Reactions total
108
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 04:32 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.
Reaction mix
3,511 reactions across 28 posts, in 9 distinct kinds. The most used accounts for 31.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,105
31.5%
❤
1,031
29.4%
😁
357
10.2%
🤔
337
9.60%
😢
214
6.10%
🤣
212
6.04%
🔥
165
4.70%
👎
80
2.28%
😍
10
0.285%
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 31 of the 31 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 3,569 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 22 May 2026 to 27 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.
УЧИТЕЛЯ или УЧИТЕЛИ?
Ну что, кому-то скоро в школу😎. И там уже ждут учителя – вроде бы именно так мы всегда говорим: учителЯ.
Или всё-таки учИтели?..
На самом деле, не «или», а «и». И учителЯ, и учИтели. В русском языке существуют две литературные формы: учителЯ и учИтели, а выбор зависит от значения слова.
📌 Если речь идёт о преподавателях в школе, то «учителЯ». Например: «учителЯ начальных классов», «учителЯ русс…
КЛАДЕЗЬ: он или она?
«Она у нас настоящая кладезь знаний».
Вот что бывает, если не знать, что это за слово, «кладезь»!
Сегодня слово «кладезь» чаще всего встречается в выражениях вроде «кладезь учёности» или «кладезь полезной информации». Обычно так говорят о человеке или источнике, который обладает большим запасом знаний.
Но первоначальное значение этого слова – «колодец». Например: «Все приходившие шли умы…
ВООЧИЮ
Оказывается, слово пишут и так: воочую. Пожалуй, это может сравниться только с моей любимой ошибкой в одном из диктантов – «глаз вопиющего в пустыне».
Комментарии тут не нужны. «Воочию», наречие: своими глазами, лично; наглядно, явственно. Увидеть что-то воочию, представить себе воочию. Слово определяется словарями как книжное, по происхождению церковнославянское. Написание нужно просто запомнить.
#русс…
«В России две беды: дураки и дороги»: кто автор?
Ну что, дорогие, похоже, это одна из самых впечатляющих мистификаций последних десятилетий – когда сказанное приняли на веру и никто не счел нужным проверить источник. В эти самые «никто» вхожу и я!
Если бы вы спросили меня до сегодняшнего утра, кто является автором известного всем выражения «В России две беды: дураки и дороги», я, немного поколебавшись, ответил…
ОПРОС. Кто, по-вашему, автор выражения "В России две беды: дураки и дороги"? Только, пожалуйста, никуда не заглядывая.
Н. Гоголь23%
М. Салтыков-Щедрин61%
М. Зощенко3%
какой-то другой автор10%
это народная мудрость5%
The shares total 102%, 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.
Позвонили утром с одной из радиостанций. Звонок был прекрасен тем, что исходил от одного из моих бывших студентов (ура! работает по специальности! это ли не счастье преподавателя?). Он просил меня выйти в прямой эфир, чтобы «с филологической точки зрения» прокомментировать всем известное выражение – «В России две беды: дураки и дороги». Инфоповод – высказывание вице-премьера М. Хуснуллина, который назвал это выражени…
ГРАФФИТИ
Первое: ударение. Правильно: граффИти.
Второе. В слове пишутся две буквы Ф (от итальянского graffiti).
Третье. В русском языке это слово употребляется только во множественном числе: «уличные граффити», «граффити на стенах домов».
Кстати, существует еще и слово «граффИто» - не отдельный рисунок на заборе, а особая техника декоративной отделки стен. Тоже несклоняемое, но среднего рода (граффИто – оно). Ис…
ОТПУСК
Рада, что мне не удалось сбить вас с толку своим опросом.
Большинство из тех, кто проголосовали, знают, что множественное число слова «отпуск» – отпускА, отпускОв. Это литературная норма. Не Отпуски!
Предложный падеж единственного числа – «в Отпуске», "об Отпуске».
«Я в отпускУ» - разговорная форма, нежелательная.
Отличных отпускОв тем, кто сейчас в Отпуске! Карточка про "отпуск" была у нас здесь когда-то, н…
ОПРОС. Как вы произнесете слово "отпуск" в этих фразах?
- нам летом не дают Отпуски18%
- нам летом не дают отпускА51%
- я сейчас в Отпуске98%
- я сейчас в отпускУ1%
The shares total 168%, 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.
Знаю, знаю, всё знаю. Нельзя так надолго уходить. Надеюсь только на то, что и вам всё это время было не до телеграм-каналов: всё-таки лето!.. В любом случае, спасибо вам, что никуда не ушли, дождались. Интересно, что последним словом, которое мы здесь разбирали перед долгим перерывом – «ожидальная». Будем считать, что это она и была, та самая ожидальная😎.
Возвращаемся понемногу из отпусков.
Кстати, в связи со …
Итак, ОЖИДАЛЬНАЯ.
Для начала: а есть ли такое слово в современном русском языке?
Поиск по словарям на портале «Грамота» ничего не дает. Но предлагает вместо искомого другое слово – «ожидальня». Вот она, «ожидальня» - да, вроде бы есть. И это как раз комната ожидания, комната для ожидающих приема, приёмная. Рядом со словом в словарях помета – «разговорное».
Тем не менее, в Национальном корпусе русского языка (не прен…
👍91🤔44❤7👎3😢1
Showing the 12 most recent of 31 posts we hold for @markoroleva. 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.
Posts edited after publishing
@markoroleva edited 1 post 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
10 August 2026
Most recent edit
10 August 2026
Polls
The 5 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
ОПРОС. Кто, по-вашему, автор выражения "В России две беды: дураки и дороги"? Только, пожалуйста, никуда не заглядывая.
Н. Гоголь23%
М. Салтыков-Щедрин61%
М. Зощенко3%
какой-то другой автор10%
это народная мудрость5%
The shares total 102%, 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.
ОПРОС. Как вы произнесете слово "отпуск" в этих фразах?
- нам летом не дают Отпуски18%
- нам летом не дают отпускА51%
- я сейчас в Отпуске98%
- я сейчас в отпускУ1%
The shares total 168%, 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.
- мне всё равно, лишь бы было место для ожидания6%
The shares total 104%, 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.
ОПРОС. С каким ударением вы произносите слово "одновременно"?
- одноврЕменно,51%
- одновремЕнно49%
Shares as published. 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 31 most recent posts we hold, published 22 May 2026 to 27 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
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.
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.
Нина Зверева: Семья и Школа @ninazvereva · 31,790 Telegram ranks this channel #42 of 98 here — alongside 97 others — read 5 September 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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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.
“Королёва. Русский в порядке” (@markoroleva), 9,979 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/markoroleva.
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.