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Telegram profile photo for learning 中文 زبان چینی

Channel

learning 中文 زبان چینی

@chineselearnclub

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

1,735subscribers

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002544639959
TypeChannel
Username@chineselearnclub
Description@ChineseCoursesAdmin برای ارتباط با ما ִֶָ @ChineseLearnCourses چنل دوره هامون ੭੭ @Zhongclubbot. ناشناسمون
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 October 2026
Last confirmed live2 October 2026
Measurements held1
On Telegramt.me/chineselearnclub

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Oct 2026, 19:221,735first reading

Engagement

19 posts held, back to 24 September 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
27.4%
avg views ÷ 1,735 subscribers
Avg views / post
475
19 posts measured
Reaction rate
4.44%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 17 of 19 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 October 2026
Posts held19 (24 September 2026 – 2 October 2026)
Views total9,020
Reactions total347
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 19:22 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
151
Videos
50
Links
13

Lifetime counters from Telegram’s own channel header, read 2 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
5m 35s
Average length
2m 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

347 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 40.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤13940.1%
🍓12134.9%
💘8725.1%

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 17 of the 19 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 347 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 24 September 2026 to 2 October 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

2 Oct 2026, 16:03 UTC197 views15 reactionsread 2 October 2026

❕این پایین پین یین و ترجمه ی کلمه به کلمه‌اشون رو میفرستم ←

💘13🍓2

2 Oct 2026, 15:43 UTC217 views14 reactionsread 2 October 2026

درباره ی این شعر اول یه فکتی بگم: این شعر از لی بای یکی از بزرگترین شاعرای چینه و تقریبا هیچ شخص چینی وجود نداره که این شعر به گوشش نخورده باشه، از کوچیک تا بزرگ این شعر رو همگی حفظن. ترکیبیه از جملات ساده و غمِ غربت همه با هر سطح سوادی این شعر رو درک میکردن و میتونستن اون رو بخونن🤍

❤13💘1

2 Oct 2026, 15:37 UTC226 views22 reactionsread 2 October 2026

💕事写作,原因无它:从小到大,数学不佳。 _ 汪曾祺💜 🤩|دلیلِ اینکه نویسنده شدم چیز پیچیده‌ای نیست؛ از بچگی تا بزرگسالی، در ریاضی هیچ‌وقت خوب نبودم. ⋆─ @chineselearnclub ˖‌ ࣪ ۪🪷

💘14❤6🍓2

2 Oct 2026, 15:37 UTC234 views21 reactionsread 2 October 2026

🤩你站在桥上看风景,看风景人在楼上看你。明月装饰了你的窗子,你装饰了别人的梦。" _卞之琳💜 🤩|تو روی پل ایستاده‌ای و به منظره خیره شدی؛ غافل از اینکه خودت، منظره‌ی تماشاییِ کسی در آن بالایی. ماه روشن پنجره‌ات را آراسته، و تو رویای کسی دیگر را. ⋆─ @chineselearnclub ˖‌ ࣪ ۪🪷

💘13❤7🍓1

2 Oct 2026, 15:32 UTC214 views22 reactionsread 2 October 2026

🤩那一年,花开得不是最好,可是还好,我遇到你。 _汪曾祺 🩷 🤩|اون سال، گل‌ها قشنگ‌ترین شکوفه‌هاشون رو نداشتن؛ ولی چه خوب که تو رو دیدم ⋆─ @chineselearnclub ˖‌ ࣪ ۪🪷

💘13❤8🍓1

2 Oct 2026, 15:32 UTC222 views20 reactionsread 2 October 2026

🪭原来岁月并不是真的逝去,它只是从我们的眼前消失,却转过来躲在我们的心里。 _席慕蓉🩷 🤩|در واقع، زمان واقعا از بین نمی‌ره؛ فقط از جلوی چشم‌هامون ناپدید می‌شه و می‌ره یه گوشه از قلبمون پنهان می‌شه. ⋆─ @chineselearnclub ˖‌ ࣪ ۪🪷

❤14💘5🍓1

2 Oct 2026, 15:31 UTC230 views27 reactionsread 2 October 2026

🌸床前明月光,疑是地上霜。 举头望明月,低头思故乡。 _李白💜 🤩|نور روشن ماه، پیش تخت افتاده است؛ انگار که بر زمین، شبنمِ یخ‌زده نشسته باشد. سرم را بالا می‌آورم و به ماه روشن نگاه می‌کنم، سرم را پایین می‌اندازم و به زادگاهم فکر می‌کنم. ⋆─ @chineselearnclub ˖‌ ࣪ ۪🪷

🍓16💘6❤5

2 Oct 2026, 15:31 UTC228 views24 reactionsread 2 October 2026
Photo

🤩,چند نقل قول زیبا از دل ادبیات چین:

💘18❤3🍓3

1 Oct 2026, 15:08 UTC470 views23 reactionsread 2 October 2026
Video

🪷,یه ولاگ زیبا از گشت و گذار توی شهر نانجینگ 南京 ببینیم؟ ⋆─ @chineselearnclub ˖‌ ࣪ ۪

🍓17❤6

27 Sept 2026, 15:49 UTC729 views11 reactionsread 2 October 2026

《花鸦》— 张海金 你应该知道我会来 Nǐ yīnggāi zhīdào wǒ huì lái باید بدونی که من میام. 踏过霜雪走过苦海 Tà guò shuāngxuě zǒu guò kǔhǎi از دل یخ و برف رد می‌شم، از دریای سختی‌ها هم می‌گذرم. 要饮下那最烈的酒 Yào yǐn xià nà zuì liè de jiǔ باید تندترین شراب رو سر بکشم. 再看那花败了还开 Zài kàn nà huā bài le hái kāi تا ببینم اون گل، حتی وقتی پژمرده می‌شه، باز هم شکوفه می‌ده. --- 我要向北行要南往 Wǒ yào xiàng běi xíng yào nán wǎng می‌خوام راهیِ شمال بشم، راهیِ جنو…

🍓11

27 Sept 2026, 15:49 UTC686 views14 reactionsread 2 October 2026
File

یه موزیک زیبا گوش بدیم؟🎻 ⋆─ @chineselearnclub ˖‌ ࣪ ۪

🍓11❤3

Showing the 12 most recent of 19 posts we hold for @chineselearnclub. 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.

Polls

The 3 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.

26 Sept 2026, 17:28 UTCAnonymous Quiz81 voters

کدام جمله درست است؟

  1. 我去学校昨天。5%
  2. 我昨天去学校。15%
  3. 昨天我去学校了。28%
  4. 我去了学校昨天。4%
  5. گزینه 2 و 341%
  6. گزینه 1و 47%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

26 Sept 2026, 17:20 UTCAnonymous Quiz105 voters

کدام گزینه معنی" من هم چای نمیخورم" میدهد؟

  1. 我也不喝茶。60%
  2. 我没喝也茶。8%
  3. 我也没喝茶 。15%
  4. 我不喝也茶。17%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

26 Sept 2026, 17:10 UTCAnonymous Quiz105 voters

کدام گزینه غلط است؟

  1. 我不是老师6%
  2. 我不好16%
  3. 你也是38%
  4. 我是好40%

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 19 most recent posts we hold, published 24 September 2026 to 2 October 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 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.

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.

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 2 October 2026 — this entry's latest reading, not the date you are reading this.

“learning 中文 زبان چینی” (@chineselearnclub), 1,735 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/chineselearnclub.

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.