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Channel

Записки Лингвистки

@siroezhka_blatnaya

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

2,969subscribers

-20 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001257830980
TypeChannel
Username@siroezhka_blatnaya
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/siroezhka_blatnaya

Topic

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 15 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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

2,9692,9892,9797 August 2026 — 2,989 subscribers7 August 2026 — 2,989 subscribers17 August 2026 — 2,988 subscribers21 August 2026 — 2,986 subscribers24 August 2026 — 2,983 subscribers27 August 2026 — 2,982 subscribers30 August 2026 — 2,980 subscribers2 September 2026 — 2,976 subscribers7 September 2026 — 2,974 subscribers11 September 2026 — 2,971 subscribers15 September 2026 — 2,969 subscribers7 August 202615 September 2026
11 measurements spanning 39 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 2,966–2,992 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 22:392,969-2
11 Sept 2026, 21:572,971-3
7 Sept 2026, 03:162,974-2
2 Sept 2026, 20:442,976-4
30 Aug 2026, 20:362,980-2
27 Aug 2026, 19:232,982-1
24 Aug 2026, 20:382,983-3
21 Aug 2026, 05:232,986-2
17 Aug 2026, 20:352,988-1
7 Aug 2026, 19:022,989no change
7 Aug 2026, 18:592,989first reading

Engagement

8 posts held, back to 24 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 8 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 50s
Average length
55s

Measured directly from 2 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

193 reactions across 8 posts, in 8 distinct kinds. The most used accounts for 54.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥10654.9%
❤4623.8%
👍147.25%
❤‍🔥94.66%
👏94.66%
✍42.07%
🥰42.07%
🙏10.518%

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 8 of the 8 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 193 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 24 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.

Recent posts

7 Aug 2026, 12:22 UTC70 views13 reactionsread 7 August 2026
File

File, posted without a caption

🔥9👏3🙏1

Signed Олеся

7 Aug 2026, 12:22 UTC73 views17 reactionsread 7 August 2026

Мне тут напомнили мои же студенты, что у меня была разработка про один из старинных домов Великобритании, которую я когда-то тут выкладывала. Но с тех пор прошло много не то что месяцев, а лет 🙈 поэтому продублирую (для тех, кому интересно Страноведение и история) 🌹

🔥11❤3👍3

Signed Олеся

4 Aug 2026, 15:13 UTC145 views38 reactionsread 7 August 2026
Photo

Викторианская Англия: как история меняла английский язык Если вы когда-нибудь пытались читать Диккенса, Бронте или Конана Дойла в оригинале и чувствовали, что ускользает какой-то важный смысл — эта карусель для вас 🤍 Викторианская эпоха (1837–1901) — это не просто красивые платья и туманный Лондон. Это время, когда английский язык менялся на глазах. Каждое историческое событие рождало новые слова, а старые слова пр…

🔥27❤‍🔥9👏2

Signed Олеся

3 Aug 2026, 10:12 UTC171 views29 reactionsread 7 August 2026
Video

PRO lock-up и Диккенса Если смотрите британские детективы или читаете Диккенса — оно вам точно встречалось. А выглядит оно вот так. На Трафальгарской площади, в двух шагах от толп туристов, стоит обычный на вид фонарный столб. Но если присмотреться, то можно заметить дверцу с окошками.. Это самый маленький полицейский участок в мире 😱 Внутри едва помещаются два человека, а прямо из будки шла прямая линия на Скотл…

👍10🔥9❤8👏2

Signed Олеся

31 Jul 2026, 14:23 UTC234 views10 reactionsread 7 August 2026

Здесь было выгодное предложение, но время истекло 💫

🔥9❤1

Signed Олеся

28 Jul 2026, 08:58 UTC296 views32 reactionsread 7 August 2026
Photo

Знаете ли вы, что ✔️ Слово Salary происходит от латинского salarium — "деньги на соль"? Римским легионерам выдавали деньги на покупку соли (sal), которая была редким консервантом. (получать жалование = получать на солонину) ✔️ Слово Restaurant произошло от латинского restaurare — восстанавливать, подкреплять? В 1765 году парижский булочник повесил вывеску: "У меня подают восстанавливающие бульоны". До этого слово…

❤23🥰4🔥3✍2

Signed Олеся

24 Jul 2026, 06:55 UTC294 views35 reactionsread 7 August 2026

Всё началось в XII веке, когда после нормандского завоевания английскую письменность начали приводить к порядку. Нормандские писцы принесли с собой важное правило: если после короткой гласной стоит согласная, удваивай её. Зачем? Чтобы читатель точно знал, как произносить слово. В те времена не было словарей и учебников произношения — только написание. Поэтому писцы старались сделать его максимально понятным. В XV в…

🔥21❤11✍2👍1

Signed Олеся

24 Jul 2026, 06:55 UTC260 views19 reactionsread 7 August 2026
Video

PRO правило удвоения согласных в английском Hop → hopped, но hope → hoped. Run → runner, но dine → diner. Почему в одном случае мы удваиваем согласную, а в другом — нет? И откуда вообще взялось это правило? Ответ — в истории языка. И он начинается с нормандских писцов XII века. В английском языке есть короткие и долгие гласные. Когда мы добавляем окончание -ed, важно сохранить это произношение, чтобы не было пут…

🔥17👏2

Signed Олеся

Showing the 8 most recent of 8 posts we hold for @siroezhka_blatnaya. 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.

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.

Real English. Таня Маркова
@bk_gko · 44,716
Telegram ranks this channel #42 of 92 here — alongside 91 others — read 27 August 2026
English Created Resources
@freebooks4all · 31,019
Telegram ranks this channel #61 of 75 here — alongside 74 others — read 6 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“Записки Лингвистки” (@siroezhka_blatnaya), 2,969 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/siroezhka_blatnaya.

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.