РКН № 4922684101
Пишу про английский для взрослых и про свою жизнь.
Учим английский здесь https://gaponova.school/tgnavigator
Автор @yelenagaponova
Администратор школы @SchoolGaponova_adm
Отзывы @gaponovafeedback
Created
5 May 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
34 measurements spanning 51 days, net -63. 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 22,586–22,840 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
26 Sept 2026, 08:18
22,615
-24
17 Sept 2026, 11:55
22,639
-8
15 Sept 2026, 11:58
22,647
-20
13 Sept 2026, 22:00
22,667
-17
12 Sept 2026, 04:00
22,684
+1
9 Sept 2026, 20:17
22,683
-25
6 Sept 2026, 16:18
22,708
-14
4 Sept 2026, 06:20
22,722
+15
2 Sept 2026, 19:28
22,707
-6
1 Sept 2026, 18:17
22,713
-16
31 Aug 2026, 20:28
22,729
-15
30 Aug 2026, 20:37
22,744
-4
29 Aug 2026, 19:45
22,748
-8
28 Aug 2026, 17:38
22,756
-17
27 Aug 2026, 17:13
22,773
-11
26 Aug 2026, 15:42
22,784
+23
25 Aug 2026, 14:03
22,761
-13
24 Aug 2026, 10:43
22,774
-8
22 Aug 2026, 20:45
22,782
-13
21 Aug 2026, 13:23
22,795
first reading
Engagement
99 posts held, back to 31 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 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.48%
avg views ÷ 22,615 subscribers
Avg views / post
786
33 posts measured
Reaction rate
2.15%
reactions ÷ views · ER floor
Posts in window
33
of 99 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. It is computed over the 31 of 33 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 30 September 2026
Posts held
99 (31 July 2026 – 30 September 2026)
Views total
25,941
Reactions total
515
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Sept 2026, 11:53 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.
What this channel posts
Photos
≈2,300
Videos
≈147
Links
≈1,440
Lifetime counters from Telegram’s own channel header, read 30 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 36s
Average length
48s
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
1,655 reactions across 95 posts, in 20 distinct kinds. The most used accounts for 32.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
535
32.3%
🔥
302
18.2%
👍
282
17.0%
👏
149
9.00%
❤🔥
112
6.77%
😁
80
4.83%
🤣
40
2.42%
⚡
38
2.30%
🎉
32
1.93%
😢
21
1.27%
🥰
18
1.09%
💯
13
0.785%
👌
8
0.483%
💔
7
0.423%
🤯
6
0.363%
🐳
5
0.302%
🙏
2
0.121%
🤔
2
0.121%
🤩
2
0.121%
🌚
1
0.06%
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 96 of the 99 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 1,666 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 99 most recent posts we hold, published 31 July 2026 to 30 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 ТАМ НА РЫНКЕ ТРУДА
Привет! Поговорим о насущном – кризисе на рынке труда. На LinkedIn (кстати, вот мой, добавляйтесь) только и разговоров, что о невозможности найти сейчас работу. Поэтому часто можно услышать совет держаться текущего места работы. Разберем актуальные английские выражения на эту тему:
job hugging – обнимание работы – держаться за нынешнюю работу из страха, а не из преданности
With massive tech …
🍿 Завтра встречаемся на киновебинаре LOST IN TRANSLATION!
30 сентября в 19:00 МСК приглашаю вас провести вечер с английским, кино и небольшим расследованием.
Будем смотреть фрагменты англоязычных фильмов и сериалов и разбираться в том, что не всегда можно понять по словам:
— где шутка, а где сарказм;
— герои флиртуют или ругаются;
— почему вежливая фраза может означать отказ;
— как интонация меняет смысл;
— что те…
Ну что, как вам наш listening challenge? Удалось всё расслышать?
Ловите правильные ответы:
🎧 Видео 1:
Что заказывает девушка?
• tomato sandwich
• with aubergine, courgette (UK баклажан, кабачок)
• a packet of crisps (UK пачка чипсов)
• a bottle of water
• a cookie for pudding (pudding = desert)
🎧 Видео 2:
- Who's he?
- you need to rent out rooms
- you get up late these days
И знаете что? Такие задания — отличн…
Listening challenge 🎧
Ну что, проверим, насколько хорошо вы понимаете английский на слух? Сейчас будет небольшая тренировка listening! Мы подготовили для вас два видео.
Ваша задача — внимательно послушать и ответить на вопросы под видео. Не подглядываем в субтитры, если они вдруг есть! 👀
Пишите свои варианты в комментариях. Очень интересно, сколько всего получится расслышать!
КВИЗ
Привет! Вспомним лексику уходящей недели. Выбирайте наиболее подходящий вариант ответа, за правильный ответ – почет и праздничное конфетти:
▪️Зарегистрироваться на бесплатный киновебинар, где будем разбираться с английским, который невозможно понять только по словарю
После обучения Алексей запустил проект на англоязычный рынок — а английский из пассивного запаса перешёл в живую речь.
Читайте историю нашего студента на карточках ☝️
До Gaponova School Алексей уже пытался учить английский самостоятельно — смотрел фильмы и сериалы в оригинале. Но быстро столкнулся с проблемой: вроде бы знакомые слова, а смысл сцены всё равно ускользает. Герои шутят, используют сарказм, говорят не с…
🍿 Английский, который начинается там, где заканчивается буквальный перевод
30 сентября в 19:00 МСК приглашаю вас на бесплатный киновебинар, где будем разбираться с английским, который невозможно понять только по словарю. На нем будем разбирать сцены из англоязычных фильмов и искать смысл, который не всегда лежит на поверхности.
Потому что можно знать все слова в сцене — и всё равно не понять, почему все смеются, по…
❤7👏6❤🔥5
Showing the 12 most recent of 99 posts we hold for @gaponova. 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
@gaponova edited 2 posts 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
21 August 2026
Most recent edit
2 September 2026
Polls
The 6 most recent of 21 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.
The choreography for their new music video was so difficult, but the dancers ate and left no______.
crumbs75%
thumbs16%
drums9%
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 99 most recent posts we hold, published 31 July 2026 to 30 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.
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
Named by 27 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 20 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Hopkins English @hopkinsenglish · 33,223 Telegram ranks this channel #10 of 88 here — alongside 87 others — read 9 September 2026
Real English. Таня Маркова @bk_gko · 44,716 Telegram ranks this channel #17 of 92 here — alongside 91 others — read 27 August 2026
Английский в фразах @EngInPhrases · 20,660 Telegram ranks this channel #65 of 79 here — alongside 78 others — read 26 September 2026
Инглекс | Заряжаемся английским @englex_school · 65,947 Telegram ranks this channel #77 of 85 here — alongside 84 others — read 21 August 2026
This channel appears in 4 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Гапонова и её английский” (@gaponova), 22,615 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/gaponova.
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.