Channel
@evibeforchinese
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,368subscribers
+131 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001979818857 |
|---|---|
| Type | Channel |
| Username | @evibeforchinese |
| Created | Between 1 April 2023 and 31 October 2023— 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 | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/evibeforchinese |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 06:08 | 3,368 | +129 |
| 10 Aug 2026, 19:38 | 3,239 | +1 |
| 8 Aug 2026, 00:41 | 3,238 | +1 |
| 7 Aug 2026, 16:03 | 3,237 | first reading |
20 posts held, back to 15 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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (15 July 2026 – 7 August 2026) |
| Views total | 6,074 |
| Reactions total | 133 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:40 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 3 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.
144 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 96 | 66.7% | |
| ❤🔥 | 13 | 9.03% | |
| 👍 | 13 | 9.03% | |
| 👌 | 11 | 7.64% | |
| 🔥 | 7 | 4.86% | |
| 🙏 | 3 | 2.08% | |
| 🥰 | 1 | 0.694% |
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 18 of the 20 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 144reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 15 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.
«День» 天 (HSK 2) 几天 jǐ tiān — сколько дней. Пример: 你在这住几天？ 那天 nà tiān — тот день. Пример: 那天你去哪儿了？ 有一天 yǒu yī tiān — однажды, в один из дней. Пример: 有一天我会去北京 每天 měi tiān — каждый день. Пример: 我每天八点起床。 昨天 zuó tiān — вчера. Пример: 我昨天买了一本书。 前天 qián tiān — позавчера. Пример: 前天我去了医院。 明天 míng tiān — завтра. Пример: 明天我们要考试。 天天 tiān tiān — каждый день (разг., усиление частотности). Пример: 我天天吃水果。 哪一天 nǎ yī tiān — ка…
❤6
🛣Китайские фразы для составления маршрута 一直走 yī zhí zǒu идти прямо (всё время прямо) 往前走 wǎng qián zǒu идти вперёд 左转 zuǒ zhuǎn повернуть налево 右转 yòu zhuǎn повернуть направо 直走，然后左转 zhí zǒu, ránhòu zuǒ zhuǎn идти прямо, затем повернуть налево 先直走，再右转 xiān zhí zǒu, zài yòu zhuǎn сначала идти прямо, потом повернуть направо 往回走 wǎng huí zǒu идти назад / возвращаться 过马路 guò mǎlù переходить дорогу Wo…
❤9❤🔥4👍2
«Болезнь» 病 (HSK 2) 病 bìng болезнь; болеть 我的病好了。 生病 shēngbìng заболеть 他生病了，没来上课。 病人 bìngrén больной, пациент 这个病人需要休息。 大病 dàbìng тяжелая болезнь 他爷爷生了一场大病。 小病 xiǎobìng легкая болезнь, недомогание 感冒是小病，不用去医院。 ( 看病 kànbìng лечиться, ходить к врачу 我上午去医院看病了。 病房 bìngfáng больничная палата 他在病房里看电视。 病历 bìnglì история болезни, медкарта 医生在看他的病历。 病情 bìngqíng состояние здоровья (больного) 他的病情…
❤6👍5
创业 (chuàng yè) — открыть свое дело, начать бизнес Друзья, сегодня поговорим про одно из самых вдохновляющих (и в то же время пугающих) слов в современном китайском — 创业. Если совсем просто — это когда вы решаете, что работа на дядю — не ваш путь, и начинаете свое собственное предприятие. 📚 Основные значения: Открывать бизнес, начинать предприятие, запускать стартап. (В переносном смысле) Начинать любое новое рискова…
❤6👌3
自助餐 (zìzhùcān) — дословно: «сам + помогать + еда». Это прямой перевод понятия «шведский стол» (швед. smörgåsbord), то есть формат питания, когда вы платите фиксированную сумму за вход и можете брать любые блюда в любом количестве. В Китае такой формат очень популярен, особенно для праздничных встреч и в отелях. Ставьте ❤️, если было полезно! #Китайский_язык
❤🔥9❤4👍3
Как спросить время по-китайски? 🕐 现在几点？ (Xiànzài jǐ diǎn?) — «Сколько сейчас?» 🕐 Час = 点 (diǎn) ⏱️ Минута = 分 (fēn) ½ Половина = 半 (bàn) ¼ Четверть = 刻 (kè) Ставьте ❤️, если было полезно! 🔗ССЫЛКА НА СОХРАНЕНИЕ #китайский #слова #hsk #YCT
❤11🔥3
🙂🌸ПОВТОРЕНИЕ ЛЕКСИКИ ПО ТЕМЕ "颜色“🌸 для подготовки к экзаменам HSK1, HSK2, YCT1, YCT2 Урок на 🙂Progressme #hsk1 #hsk2 #yct #edvibe_китайский #тематические_уроки_на_edvibe #бесплатно
🙏3
既 jì…… 又 yòu…… 既 jì…… 也 yĕ…… 既 jì…… 且 qiĕ…… Конструкции со значением «и… и». Используются как с глаголами, так и с прилагательными. Примеры: ① 我们坐在新教室里，感觉既暖和， 又舒适。🐱 Мы сидим в новой аудитории. Нам и тепло, и уютно. ② 他既没有才华， 也没有天资。🤷♀️ У него нет ни способностей, ни таланта. ③ 我们既要学习， 又要工作。😐 Нам нужно и учиться, и работать. ④ 教育孩子， 既要有爱心， 又要有耐心。😘 Чтобы воспитывать детей, нужны и любовь, и терпение. #устойчивые…
👍3❤1
УРОКИ КИТАЙСКОГО E-CHINESE pinned Deleted message
鼓励 и 奖励 Оба — «поощрять». Но: ❤️ 鼓励 (gǔlì) — морально: поддержать, вдохновить словом. 老师的赞扬给了他很大的鼓励。 Похвала учителя сильно воодушевила его. 🏅 奖励 (jiǎnglì) — материально: наградить, дать премию. 政府奖励扑灭大火的消防官兵。 Правительство наградило пожарных за тушение пожара. Запоминалка: 鼓励 — словами, 奖励 — деньгами 😄 Ставьте ❤️, если было полезно! #китайский #слова #hsk
❤12
📚 Китайские междометия: эмоции в одном слоге 🇨🇳 В китайском междометия стоят вне частей речи — они не склоняются, не спрягаются, но без них разговорная речь теряет половину жизни! 😮 🗣 Главное правило: Междометия передают чувства, призыв или команду. При переводе на русский их часто опускают или заменяют интонацией — контекст решает всё! 🎯 💡 Лайфхак: Одно и то же междометие может выражать удивление, радость или разд…
❤4
一来 [yīlái]…… 二来 [èrlái]…… 一是 [yīshì]…… 二是 [èrshì]…… 一则 [yīzé]…… 二则 [èrzé]…… Конструкции со значением «во-первых… во-вторых». Примеры: ① 一是因为这里房租很贵， 二是因为从银行贷款很 容易，所以我决定买房。🏡 Я решил купить этот дом, поскольку, во-первых, здесь высокая арендная плата, а во-вторых, потому что легко получить кредит в банке. ② 她很喜欢他， 一来个子高， 二来很聪明。😍 Он ей очень нравится — во-первых, он высокий, во-вторых, умный. ③ 那我先找老王谈谈， 一来看看他什么时候有空…
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Showing the 12 most recent of 20 posts we hold for @evibeforchinese. 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 — 1,212,298 of 1,478,351entries 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.
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.
“УРОКИ КИТАЙСКОГО E-CHINESE” (@evibeforchinese), 3,368 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/evibeforchinese.
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.