🌙 晚安·中文时间 Время вечернего китайского 💙Пять минут — и ты уже сделала шаг вперёд ✨ 梦 (mèng) — мечта 和平 (hépíng) — спокойствие 休息 (xiūxi) — отдых 星星 (xīngxing) — звезда 安静 (ānjìng) — тишина Опрос: ❤️ Учусь 🔥 Учусь сейчас
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Channel
@Chinesem17
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Cite this entry
7,126subscribers
-694 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002327646187 |
|---|---|
| Type | Channel |
| Username | @Chinesem17 |
| Description | Ссылка на канал: @m17Channels (+ полный список наших каналов) Сотрудничество: @m17_fact и @pr0smm Менеджеры: @managm17 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/Chinesem17 |
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 12 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 12:55 | 7,126 | -20 |
| 7 Nov 2026, 23:56 | 7,146 | -18 |
| 4 Nov 2026, 22:57 | 7,164 | -19 |
| 1 Nov 2026, 23:06 | 7,183 | -20 |
| 30 Oct 2026, 00:36 | 7,203 | -25 |
| 26 Oct 2026, 19:28 | 7,228 | -24 |
| 23 Oct 2026, 14:15 | 7,252 | -29 |
| 20 Oct 2026, 21:56 | 7,281 | -31 |
| 18 Oct 2026, 05:49 | 7,312 | -22 |
| 15 Oct 2026, 08:51 | 7,334 | -20 |
| 11 Oct 2026, 22:56 | 7,354 | -41 |
| 5 Oct 2026, 16:37 | 7,395 | -38 |
| 28 Sept 2026, 05:41 | 7,433 | -64 |
| 19 Sept 2026, 00:57 | 7,497 | -38 |
| 15 Sept 2026, 02:16 | 7,535 | -22 |
| 11 Sept 2026, 04:00 | 7,557 | -42 |
| 6 Sept 2026, 11:58 | 7,599 | -18 |
| 2 Sept 2026, 10:37 | 7,617 | -20 |
| 30 Aug 2026, 01:07 | 7,637 | -29 |
| 27 Aug 2026, 02:46 | 7,666 | first reading |
47 posts held, back to 7 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 34 pages of 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 17 of 21 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 47 (7 July 2026 – 7 November 2026) |
| Views total | 10,237 |
| Reactions total | 388 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Nov 2026, 00:55 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.
Lifetime counters from Telegram’s own channel header, read 14 November 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.
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.
877 reactions across 39 posts, in 6 distinct kinds. The most used accounts for 47.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 418 | 47.7% | |
| 🔥 | 386 | 44.0% | |
| 😍 | 52 | 5.93% | |
| 🤓 | 17 | 1.94% | |
| 🥱 | 3 | 0.342% | |
| 👎 | 1 | 0.114% |
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 39 of the 47 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 877 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 7 July 2026 to 7 November 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2W5zFJPeNwB | 1 | 2 August 2026 | 2 August 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 47 most recent posts we hold, published 7 July 2026 to 7 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Telegram’s own ‘edited’ marker: 1 of 21 posts held from the last 30 days (4.76%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🌙 晚安·中文时间 Время вечернего китайского 💙Пять минут — и ты уже сделала шаг вперёд ✨ 梦 (mèng) — мечта 和平 (hépíng) — спокойствие 休息 (xiūxi) — отдых 星星 (xīngxing) — звезда 安静 (ānjìng) — тишина Опрос: ❤️ Учусь 🔥 Учусь сейчас
❤19🔥4
Хочешь заговорить на английском, но не с кем практиковаться? Появилась ИИ-девушка, с которой можно общаться голосовыми на любые темы, как с носителем. Она слушает твою речь, подробно исправляет ошибки и помогает говорить увереннее. Попробовать можно бесплатно. 🇬🇧 Английский: @ChattyEnglishBot 🇩🇪 Немецкий: @ChattyGermanBot 🇪🇸 Испанский: @ChattySpanishBot 🇫🇷 Французский: @ChattyFrenchBot 🇮🇹 Итальянский: @ChattyItalia…
🇨🇳 Chinese — mini-test Как пишется «человек»? A) 入 B) 人 C) 八 Опрос: ❤️ A • 🔥 B • 👍 C Мы в Max 📲
🔥88❤1😍1
Девочки, в этой инглиш-подборке нет случайных блогов — только проверенные. Загляните в каждый! ◽️ Monkey see, monkey share — Тут все: от фраз для живого общения до истории английского (и про английский). О том, как устроен язык вообще и что с этим делать. Пишет лингвист. ◽️ 🤩POLINGLISH! — Все понимаете, а сказать не можете? Учите кучу слов, но все равно говорите good/bad/interesting? Welcome на канал! И не забудьт…
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🇨🇳 Chinese — mini-test Что значит 爱 (ài)? A) друг B) любовь C) семья Опрос: ❤️ A • 🔥 B • 😍 C
🔥85❤7
Девочки, ну ЗАДОЛБАЛО !!! 😭😭 У вас тоже было: VPN опять «подключается…»? 🫠 🐱 Инста не грузится, 🐭 YouTube зависает, а ты снова перебираешь серверы? Дай Konnura два часа - за 1 ₽. Проверь на своём телефоне: Инстаграм, Телеграм, YouTube и TikTok. 🩷 До 3 устройств. С подключением поможем. После пробника - ВСЕГО ЗА 2₽ в ДЕНЬ 🤯 👉 Попробовать Konnura
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Ошибки — часть изучения китайского Страх ошибиться может мешать говорить и писать. Но ошибка — не провал, а подсказка: на что стоит обратить внимание и что повторить. На уроке ошибка помогает учителю понять, какую тему объяснить ещё раз или иначе. А вам — увидеть, где нужна практика. Учёба — процесс, и не всё получается сразу. Разрешайте себе ошибаться и относитесь к этому как к части пути. Что помогает вам споко…
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刻意练习: практика с намерением 刻意练习 (kèyì liànxí) — «целенаправленная практика», или deliberate practice. Её идея — не просто повторять знакомое, а осознанно развивать конкретный навык. Как применять при изучении китайского ➖ Выбери один измеримый навык: например, различать второй и четвёртый тоны. ➖ Разбей его на части: слоги, короткие слова, затем фразы. ➖ Занимайся 10–15 минут с полной концентрацией и исправляй ош…
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С чего начать учить китайский? С фонетики: звуки, слоги, тоны и исключения. Затем фонетика идёт параллельно с изучением иероглифов и слов. Сочетания тонов 16 пар тонов и ещё 4 пары с нейтральным тоном. Повторяйте за диктором слова по 5–10 минут каждый день — хотя бы месяц. Когда уже читаете тексты и немного говорите, тренируйте интонацию, паузы и ударение: читайте текст одновременно с аудио, подражая диктору. Как…
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Showing the 12 most recent of 47 posts we hold for @Chinesem17. 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.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“Китайский язык” (@Chinesem17), 7,126 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/Chinesem17.
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.