Posted without readable text
❤3

Channel
@trendyenglish
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,473subscribers
-11 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001480252019 |
|---|---|
| Type | Channel |
| Username | @trendyenglish |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/trendyenglish |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 11:18 | 3,473 | +1 |
| 14 Aug 2026, 07:54 | 3,472 | -1 |
| 10 Aug 2026, 17:38 | 3,473 | -12 |
| 7 Aug 2026, 20:05 | 3,485 | +1 |
| 7 Aug 2026, 18:02 | 3,484 | no change |
| 7 Aug 2026, 17:49 | 3,484 | first reading |
17 posts held, back to 20 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 2 pagesof 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. It is computed over the 15 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 17 (20 July 2026 – 7 August 2026) |
| Views total | 4,869 |
| Reactions total | 64 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 00:08 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.
64 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 54.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 35 | 54.7% | |
| 🔥 | 24 | 37.5% | |
| 👍 | 5 | 7.81% |
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 15 of the 17 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 64reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 20 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.
Posted without readable text
❤3
Posted without readable text
🔥4❤1
Видео кусочки встречи про учебные пособия
Учебник — это не ограничение. Это основа, из которой можно получить гораздо больше, чем кажется. Именно об этом была наша первая встреча нового сезона клуба «В Тренди»: «Как подготовиться к первым урокам». Август — время, когда преподаватели начинают собирать материалы, искать идеи и готовиться к сентябрю. Но мы уверены, что хороший урок не должен требовать нескольких часов подготовки. Гораздо важнее научиться эффе…
🔥1
Небольшое напоминание о встрече сегодня 5 августа в 11.00 мск. Еще можно принять участие😉 и это бесплатно Регистрация через бот обязательна https://bothelp.cc/mini?domain=trendyenglish&id=21
Август в закрытом клубе "В Тренди" — это месяц первых уроков. Именно первые занятия часто определяют, каким будет весь учебный год. Будут ли ученики вовлечены? Захотят ли говорить? Появится ли доверие и желание возвращаться на уроки? Поэтому в августе мы собрали все, что поможет провести начало учебного года спокойно, уверенно и без бесконечной подготовки. Что ждет участников клуба в августе? 🍀Мини-курс в записи …
❤2
Новый учебный год уже на горизонте, а вместе с ним — расписания, выбор учебников, placement-тесты, первые уроки и желание всё успеть… и не выгореть ещё до сентября. Приглашаем вас на бесплатный прямой эфир 5 августа в 11.00 мск, где Елена Пересада и Галина Шаронова (академический директор Лингва Стар) покажут, как сократить время на подготовку к первым занятиям и при этом сделать их яркими, увлекательными и такими, …
🔥4
Есть люди, с которыми кажется, что вы давно знакомы. Вы смотрите их вебинары, читаете посты, используете их идеи на уроках... Но вживую так ни разу и не встретились. Конференции — это как раз про такие встречи. Про возможность наконец сказать: «Спасибо, ваши идеи действительно изменили мои уроки». Про разговоры в коридорах, новые знакомства и вдохновение, которого потом хватает на весь учебный год. ❤️ Поэтому мы оч…
❤7
Финальный день акции «Раннее бронирование» Завтра уже 1 августа, а это значит, что сегодня последний день, когда можно присоединиться к нашим программам по самой выгодной цене. Мы подготовили 5 вариантов, которые помогут сделать новый учебный год легче, интереснее и эффективнее. Что выбрать? ✨ Клуб "В Тренди" (сентябрь–декабрь) если хочется перестать каждый раз изобретать велосипед. Вас ждут: • сообщество препод…
🔥2
Сегодня на уроке в очередной раз убедилась, что один хороший набор метафорических карт может закрыть практически весь урок. Тема была Ways to relax - что мы делаем летом, чтобы отдохнуть. Перед уроком отправила в ChatGPT список коллокаций, которые хотела ввести на уроке, и попросила сделать к каждой метафорическую карточку в стиле Dixit. Буквально за несколько минут получила готовый набор из десяти карт. Начали мы …
❤9🔥7
Не все задания одинаково развивают говорение. Одни проверяют знания. Другие заставляют ученика думать. И именно вторые запоминаются больше всего. Сегодня на игропрактике Елена Пересада показала, как обычные метафорические карты превращаются в инструмент для развития речи без сложной подготовки и с заданиями, которые легко встроить практически в любой урок. Вот лишь два примера. More Than One Answer Покажите одну к…
❤2🔥2
Когда выбор большой, легко растеряться. Мне нужны готовые материалы или новый взгляд на уроки? Лучше поехать на конференцию или пройти курс? А может, сначала вступить в Клуб? Если вы хоть раз ловили себя на таких мыслях, мы вас понимаем❤️ В Trendy English сейчас есть несколько программ, и каждая решает свою задачу. Поэтому мы сделали небольшую блок-схему, которая поможет понять, что подойдет именно вам. TrendyLib…
🔥3❤1
Showing the 12 most recent of 17 posts we hold for @trendyenglish. 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 — 390,634 of 1,481,306entries 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.
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.
Named by 2 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.
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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“Тренди Инглиш/Trendy English” (@trendyenglish), 3,473 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/trendyenglish.
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.