Channel
@nskotova_teaching
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,120subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001238240710 |
|---|---|
| Type | Channel |
| Username | @nskotova_teaching |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/nskotova_teaching |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 19:17 | 2,120 | +1 |
| 11 Aug 2026, 19:52 | 2,119 | +2 |
| 8 Aug 2026, 12:05 | 2,117 | -2 |
| 7 Aug 2026, 20:31 | 2,119 | no change |
| 7 Aug 2026, 17:59 | 2,119 | first reading |
9 posts held, back to 3 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 9 (3 August 2026 – 7 August 2026) |
| Views total | 1,479 |
| Reactions total | 106 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 20:31 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.
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.
106 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 31.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 33 | 31.1% | |
| 🔥 | 30 | 28.3% | |
| 😢 | 17 | 16.0% | |
| 😁 | 15 | 14.2% | |
| custom 5307540380453992297 | 6 | 5.66% | |
| 👏 | 3 | 2.83% | |
| custom 5314377994159031474 | 2 | 1.89% |
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 areTelegram’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 9 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 106reactions 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 3 August 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.
Немного закулисья Я писала выше, что делаю муви-клуб по фильму Ladies first. Я уже за просмотром фильма знала, какие темы туда можно включить (мизогинию, например🤪). Так вот, продумать саму канву проекта было несложно, так как все само шло в руки и было очевидно😅 Но потом мне захотелось пойти чуть дальше и добавить в уроки больше фишек: ☺️захотелось создать эффект погружения в фильм, будто бы мы - его часть (в одн…
❤1🔥1
Сдалааа внутренний по теории. Теперь есть полный допуск к экзаменам в ГАИ🔥 Очень волнительно и переживательно, конечно, но мне очень хочется закрыть этот вопрос, так как я уже полгода в автошколе числюсь и мысли о том, что надо, надо, надо кучу энергии и места в голове занимают. Придумала для себя систему подготовки к теории, чтобы не просто щелкать 800 вопросов. Протестирую до основного экзамена ее на себе и потом…
❤6🔥4
Четверговый мем😅 Муж сегодня гулял с сыном, пока я ходила сдавать внутренний по теории (не сдала, сделала 2 ошибки по невнимательности😅), и сделал такое фото. Так потом смеялись с них. Я говорю: «Ты специально его смешил?». Говорит, нет. Человеку 6 месяцев, а он уже знает толк😂
😁15❤4👏3
Как я построила план курса по фильму? Я уже упоминала ранее, что желающим коллегам из моих групп предложила участие в новом формате на время отпуска (4 недели) от основных занятий - муви-курс по фильму Ladies first. Но что там обсуждать целый месяц? А вот что: я обычно не беру разбор только сюжета и языка из фильма (более того - я не предлагаю весь, так называемый, juicy язык оттуда). Я люблю фильмы, сериалы, книг…
🔥9❤6custom 53075403804539922972
Сегодня с сыном впервые посетили клуб для мам у Полины. Очень понравилось задуматься о том, о чем не задумываешься, когда ты сам по себе, и интересно знакомиться с мамами-участницами с разным контекстом, подумать друг об друга❤️🩹
❤5🔥3
😊😊😊😊Думала, что никогда с этим не столкнусь Эх, щепетильная тема! В общем, я долгое время подписана на маркетолога «А». Мне очень нравится её контент, как она рассказывает про свой курс, про кейсы, сама по себе она такая приятная, вызывает доверие. Но я ещё подписана на двух других маркетологов, у которых тоже есть курсы по маркетингу. С одной из них я плохо «знакома» (особо не вовлекалась в её контент), а контент …
😢17❤4
Бесконечно ценю и радуюсь, когда коллеги из одних проектов приходят в другие💗 ☺️Эля давно пришла на занятия в Speak&Teach, активно участвовала и возвращалась после перерывов, была в нескольких группах и на данный момент занимается по пятницам ☺️Недавно купила мой интенсив «Химия уроков» ☺️И вот скоро будет участвовать в муви-уроках по фильму Ladies first (предложила коллегам из групп присоединиться - тем, кто не у…
❤6custom 53075403804539922973
☺️☺️☺️☺️☺️Вот, я так и думала, что там как раз можно будет делать правильные и неправильные ответы. Дождались🔥 Единственное, у меня тариф Starter, на котором эти штучки недоступны😅
🔥8custom 53143779941590314742
Вижу, на Миро квизы появились. Кто уже тестировал, пробовал?🔥
🔥5❤1custom 53075403804539922971
Showing the 9 most recent of 9 posts we hold for @nskotova_teaching. 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.
Citation-graph rank — 923,830 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Natalia Kotova l Miro l Онлайн-преподавание” (@nskotova_teaching), 2,120 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/nskotova_teaching.
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.