📚✏️ the new school year is just around the corner, так что уже пора собирать материалы для подготовки к экзаменам! [если пропустили, мы подготовили большую коллекцию материалов для ОГЭ и ЕГЭ] а начнем с урока про ценности современной молодежи: 🧡 Youth Values, ЕГЭ, B1–B2, PDF внутри: • vocabulary {values, peer pressure, materialism, self-fulfilment} • vocabulary work {definitions, gap filling & collocations} • wor…

Channel
@procontent_teachers
@procontent_teachers
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,875subscribers
+234 since we began measuring on 20 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002008513930 |
|---|---|
| Type | Channel |
| Username | @procontent_teachers |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 20 August 2026 |
| Last confirmed live | 6 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 6 September 2026 |
| On Telegram | t.me/procontent_teachers |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 10:37 | 3,875 | -22 |
| 2 Sept 2026, 05:56 | 3,897 | +10 |
| 30 Aug 2026, 12:47 | 3,887 | +43 |
| 27 Aug 2026, 15:45 | 3,844 | +131 |
| 24 Aug 2026, 08:12 | 3,713 | +59 |
| 20 Aug 2026, 23:16 | 3,654 | +13 |
| 20 Aug 2026, 17:45 | 3,641 | first reading |
Engagement
12 posts held, back to 6 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 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.84%
- avg views ÷ 3,875 subscribers
- Avg views / post
- 265
- 8 posts measured
- Reaction rate
- 3.03%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 12 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 6 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 August 2026 |
|---|---|
| Posts held | 12 (6 August 2026 – 20 August 2026) |
| Views total | 2,121 |
| Reactions total | 54 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Aug 2026, 17:45 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
84 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 63 | 75.0% | |
| 🔥 | 7 | 8.33% | |
| 🥰 | 6 | 7.14% | |
| 👍 | 5 | 5.95% | |
| 🙏 | 2 | 2.38% | |
| 🤩 | 1 | 1.19% |
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 12 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 84 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 6 August 2026 to 20 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
Вчера снова у студента всплыла эта ошибка, я про нее даже файлик в папке вам сохраняла : https://disk.yandex.ru/i/1Xq6n6y-G-RVqw ОШИБКА В РЕФЕРЕНЦИЯХ - это когда не на то лицо ссылаемся. Вчитайтесь, пожалуйста и избавляйте уже своих учеников от необоснованных "general YOU" в открытых ответах. Ну не везде их можно!
❤5
Ох уж это томительное ожидание новых МР и Демо😆 У меня ощущение что все заморожено - уроки то веду, но вот учебники не могу внести правки или адаптировать под 2027 год. Ну а пока мы все ждем, может вам пригодятся мои готовые уроки про Волонтерство и Школу (Формат ЕГЭ) ❤️
❤22
🍁❤️ back to school: более 20 материалов для подготовки к ЕГЭ & ОГЭ в нашей коллекции мы собрали самые актуальные материалы для подготовки ваших учеников к экзаменам ✳️Present Perfect & Past Perfect with “Stranger Things”, 8 заданий, B1-B2, Miro ✳️Relative Clauses with Stray Kids, 9 заданий, writing & speaking, B1, pdf ✳️Present Simple with Friends, based on episode 14, watching video, vocabulary and ex, A2, pdf ✳️Б…
❤3🔥2🤩1🥰1
Видео-обзор Учебника Chunks 30-36: https://disk.yandex.ru/i/HwV96GFVtvCNXg Вот что вы получаете: ✅ 34 юнита — отработка именно той лексики, которая нужна для ЕГЭ. ✅ Более 390 лексических блоков — готовые конструкции, которые принесут баллы (это именно их дети в школьной программе 10 лет должны были учить, ага). ✅ 102 упражнения — все форматы, как в экзамене: вставить слово, выбрать вариант, исправить ошибку. ✅ 9 пол…
❤4
Video message, posted without a caption
Коллеги, кто сегодня купил Чанки 30-36 это сообщение для вас. Технический трабл не дает сохранить в хорошем качестве. Получаем сжатый файлб уже много раз пробовала. Впн завтра от виснет и пришлю всем снова нормальное качество😘😘😘
👍5🔥2🙏1
Есть один блок теста ЕГЭ, на который нет для учителя НИЧЕГО, кроме тренировочных заданий. Это сложный блок, студенты никогда не делают его на 100% верно и вы уже давно просили по нему методичку. И мы наконец это сделали! Готово новое пособие Lexical Chunks for 30-36! Мы перебрали и проанализировали ровно ВЕСЬ БАНК ФИПИ чтобы собрать лексику и выстроить методическое пособие, которое реально поможет ученикам и облегч…
❤6🔥2
@procontent_teachers pinned «Если вы готовите к ОГЭ - вам помогут мои разработки: 1) Поэтапный урок по написанию Имейл ОГЭ 120 мин = 600 руб 2) Монологи ОГЭ + ответы на макс баллы = 1000руб 2) Ассистенты + ответы+ папка аудио = 800 руб 3) Учебник Словообразование ОГЭ: доступны 3 варианта…»
Если вы готовите к ОГЭ - вам помогут мои разработки: 1) Поэтапный урок по написанию Имейл ОГЭ 120 мин = 600 руб 2) Монологи ОГЭ + ответы на макс баллы = 1000руб 2) Ассистенты + ответы+ папка аудио = 800 руб 3) Учебник Словообразование ОГЭ: доступны 3 варианта данного методического пособия: 📖только книга PDF = 1000₽ 💻Тренажер на Edvibe\Progressme = 1600₽ И суперпредложение для максимальной эффективности: 📖➕💻Книга+Тре…
❤2🔥1
https://t.me/Sudden_me/9528 Коллеги а тут еще гора материалов!
БЕСПЛАТНЫЙ УРОК: Youth Values Формат ЕГЭ Выйдет на 2 по 60минут С разбором лексики и активацией первый час Потом разберете эссе (даю готовые идеи) и тренировочный формат ЕГЭ с рециркуляцией лексики Помимо лексических заданий - тестовые тренировочные включают: reading 10, 11, grammar, word formation, true/false/not stated, email, essay, speaking 2, speaking 3, speaking 4... Забирайте по ссылке тут: https://drive.g…
❤21🥰5🙏1
Showing the 12 most recent of 12 posts we hold for @procontent_teachers. 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.
Mentions
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.
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.
@English_Unlock_Slang · 28,493
Telegram ranks this channel #43 of 83 here — alongside 82 others — read 9 September 2026
@freebooks4all · 31,096
Telegram ranks this channel #71 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 6 September 2026 — this entry's latest reading, not the date you are reading this.
“@procontent_teachers” (@procontent_teachers), 3,875 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/procontent_teachers.
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.