🤩,توی این دوره، جدیدترین ورژن کتاب HSK 1 از صفر تا صد تدریس شده؛ با توضیحات کامل، مثالهای متنوع و ویدیوهای باکیفیت، طوری که حتی بدون هیچ پیشزمینهای هم بتونی راحت یادگیری رو شروع کنی. هر هفته دو جلسه یک ساعته دریافت میکنی، تکالیفت بررسی میشه، تلفظت اصلاح میشه و هرجا هم سوالی داشته باشی، کنارت هستیم. (در ضمن، هیچ جوره هم نمیتونی تکالیفتو بپیچونی! 🫢) 🤍~این دوره شامل: 🌟 آموزش کامل HSK 1 در دو ترم (کل کتاب) 🦋 وید…

Channel
Chinese course_
@ChineseLearnCourses
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
97subscribers
+0 since we began measuring on 2 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002816282941 |
|---|---|
| Type | Channel |
| Username | @ChineseLearnCourses |
| Created | Between 1 June 2025 and 5 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 2 October 2026 |
| Last confirmed live | 2 October 2026 |
| Measurements held | 2 |
| On Telegram | t.me/ChineseLearnCourses |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Oct 2026, 23:22 | 97 | no change |
| 2 Oct 2026, 22:47 | 97 | first reading |
Engagement
19 posts held, back to 5 August 2025 — 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
- 49.5%
- avg views ÷ 97 subscribers
- Avg views / post
- 48.0
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- 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.
| Window | Rolling 30 days · latest post in window 18 September 2026 |
|---|---|
| Posts held | 19 (5 August 2025 – 18 September 2026) |
| Views total | 96 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 23:22 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
- 7
- Videos
- 3
- Links
- 2
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
- 30m 14s
- Average length
- 10m 05s
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.
Recent posts
بلاخره بعد از استقبال خیلی زیادتون دوره ی زبان چینی HSK1 رو با جدید ترین کتاب های رسمیِ چینی به صورت آفلاین و به همراه پشتیبانی کامل شروع کردیم!🤩 ⋆─ @chineselearnclub ˖ ࣪ ۪
یکی از ترم های جدید گروهی رو هم برگزار کردیم و توی جلسه ی اول بچه ها 29 کرکتر و رادیکال مختلف یاد گرفتن، توی ۱ ساعت و نیم! به آسون ترین شکل، این بخشی از جزوهاشونه :) نتیجه ی کرکتر خوانی و مکالمه اشون رو هم ۱ ماه دیگه قرار میدیم🤍 چینی با آموزش صحیح نه تنها سخت نیست، بلکه به جالب و اصولی ترین شکل ممکن میتونید یادش بگیرید ⋆─ @chineselearnclub ˖ ࣪ ۪
این متن رو زبان آموزمون بدون هیچ اشتباهی توی تلفظ تن های چینی بعد از ۱۲ جلسه میخونه🙂↕️ ~چند نکته هم درباره ی متن گفتیم میتونید ببینید ⋆─ @chineselearnclub ˖ ࣪ ۪
نظر زبان آموز HSK4 عزیزمون دربارهی پشتیبانی ۱ ماهه #mobina
📚 لیست مباحثی که توی 8 جلسه یاد گرفته: 1_معرفی خود و اطلاعات شخصی 2_معرفی دوستان و صحبت دربارهشون 3_خانواده و اعضای خانواده 4_صحبت درباره ی سن 5_تعدادی کشور و ملیتها 6_زبانهای مختلف و تواناییهای زبانی 7_صحبت درباره ی علایق 8_اعداد ۱ تا ۹۰۰۰ 9_ساعت، دقیقه و زمان 10_روزهای هفته و برنامههای روزانه 11_مدرسه، کلاس و درس خوندن 12_شغلها و معرفی افراد (معلم، پزشک، همکار و...) 13_مکانهای مختلف (رستوران، کافه، فروشگاه، …
این ویدیو، بخشی از آزمون مکالمه، اسپیکینگ و کاراکترخوانی همین زبانآموز پر تلاشمونه، بعد از فقط ۷ جلسه آموزش چینی، اون هم از صفر! 🥹 به تلفظ و تنهای کاملا درست، تعداد مباحثی که میتونه راحت دربارهشون صحبت کنه و تسلطش روی خوندن کاراکترها دقت کنید. و شاید باورتون نشه… تا الان به بیش از ۱۷۰ کاراکتر چینی مسلط شده! 😭 همهی اینها فقط در ۷ جلسهی ۱ ساعت و ۱۵ دقیقهای و در کمتر از یک ماه. فکر نمیکنم کار راحتی باشه. 🥹 خلا…
این بهترین تعریفیه یه مدرس میتونه از زبان آموزش بشنوه🩷 ⋆─ @chineselearnclub ˖ ࣪ ۪ 🍮
ما توی کلاس های آنلاینمون ۱۵ دقیقه ی آخر کلاس رو یه ولاگ چینی🇨🇳 میبینیم و کلی کلمه ی مفید و روزمره در کنار کتاب های HSK یاد میگیریم. این جلسه رو براتون ضبط کردم که به همراهمون از این ولاگ چند دقیقه ای کلی کلمه ی مفید یاد بگیرید✨ ☆راستی، بعد از ضبط متوجه شدیم که صدای زبان آموز عزیزمون توی ویدیو نیوفتاده :( ، یک سری جاهایی که مکث میکنیم بخاطر اینه که داره کلمه رو تکرار میکنه ⋆─ @chineselearnclub ˖ ࣪ ۪ 🍮
اگر با مدرس ها آشنایی ندارید این پست رو چک کنید🤍 + تصویر مدرک زبان HSK4 هم آپلود شد https://t.me/chineselearnclub/529
رضایت زبان آموز عزیزمون از یک ترم تدریس سطح 2 زبان چینی: #reihaneh ⋆─ @chineselearnclub ˖ ࣪ ۪.🍵
~ نمونه تدریس مدرس دوم از درس ششمHSK1 :
Showing the 12 most recent of 19 posts we hold for @ChineseLearnCourses. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
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.
“Chinese course_” (@ChineseLearnCourses), 97 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/ChineseLearnCourses.
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.