Channel
@Chineselearn_Jalali
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
7,833subscribers
+64 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001363828784 |
|---|---|
| Type | Channel |
| Username | @Chineselearn_Jalali |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/Chineselearn_Jalali |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 18:35 | 7,833 | +15 |
| 12 Aug 2026, 20:05 | 7,818 | +9 |
| 10 Aug 2026, 01:22 | 7,809 | +40 |
| 7 Aug 2026, 01:15 | 7,769 | no change |
| 7 Aug 2026, 01:03 | 7,769 | first reading |
28 posts held, back to 24 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 11 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. It is computed over the 26 of 28 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 28 (24 July 2026 – 12 August 2026) |
| Views total | 33,349 |
| Reactions total | 787 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 17:06 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 13 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.
787 reactions across 26 posts, in 15 distinct kinds. The most used accounts for 77.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 608 | 77.3% | |
| 🍓 | 45 | 5.72% | |
| 👏 | 40 | 5.08% | |
| 🥰 | 34 | 4.32% | |
| 👍 | 15 | 1.91% | |
| 🥴 | 14 | 1.78% | |
| 🔥 | 11 | 1.40% | |
| 😍 | 5 | 0.635% | |
| 🤗 | 4 | 0.508% | |
| 🕊 | 3 | 0.381% | |
| 💔 | 2 | 0.254% | |
| 💯 | 2 | 0.254% | |
| 😎 | 2 | 0.254% | |
| 😁 | 1 | 0.127% | |
| 😢 | 1 | 0.127% |
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 26 of the 28 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 787reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 24 July 2026 to 12 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.
امروز نوبت یادگیری لغت در آشپزخونه اس😍🍳 洗 — xǐ — شستن 🧼 削皮 — xiāo pí — پوست کندن 🥔 切 — qiē — بریدن / خرد کردن 🔪 打鸡蛋 — dǎ jī dàn — شکستن تخممرغ 🥚 擦丝 — cā sī — رنده کردن 🧀 榨汁 — zhà zhī — آب گرفتن 🍊 搅拌 — jiǎo bàn — هم زدن / مخلوط کردن 揉面 — róu miàn — ورز دادن خمیر 🍞 煮 — zhǔ — پختن / جوشاندن 🍲 #لغت ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ 『𝓒𝓱𝓪𝓷𝓷𝓮𝓵 』@Chineselearn_Jalali
❤8👏1🥰1
آدمهایی که در زندگیمان وارد میشوند و لحظههایی که با آنها داریم، شاید در این دنیا تنها یکبار اتفاق بیفتند؛ پس باید قدرشان را بدانیم.🌹 هرچقدر دوستش داشتید لایک کنید😍 ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ 『𝓒𝓱𝓪𝓷𝓷𝓮𝓵 』@Chineselearn_Jalali
❤22🥰3
⭕️آموزش اصطلاح چینی 🌟 打脸 — dǎ liǎn معنی تحتاللفظی: سیلی زدن به صورت معنی اصطلاحی: حرف یا ادعای کسی را نقض کردن / رو دست خوردن / ضایع شدن 😄 📌 مثال: 他说自己不会输，结果输了，真是被打脸了。 Tā shuō zìjǐ bú huì shū, jiéguǒ shū le, zhēnshi bèi dǎliǎn le. گفت که نمیبازه، ولی آخرش باخت؛ واقعاً ضایع شد! 😂 #اصطلاح ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ 『𝓒𝓱𝓪𝓷𝓷𝓮𝓵 』@Chineselearn_Jalali
❤14👏2
你要相信，离开错的人，才会遇见对的自己。🌿 Nǐ yào xiāngxìn, líkāi cuò de rén, cái huì yùjiàn duì de zìjǐ. باور کن، وقتی از آدمِ اشتباه دور میشوی، تازه خودِ واقعی و درستت را پیدا میکنی. ❤ #پست_شبانه
❤38👏2
از سری ویدیوهای پرطرفدار و گوگولی کانال 😍 快乐 (kuàilè) — شاد 😊 / خوشحال 难过 (nánguò) — ناراحت 😢 生气 (shēngqì) — عصبانی 😠 惊讶 (jīngyà) — متعجب 😲 / شگفتزده 害怕 (hàipà) — ترسیده 😨 兴奋 (xīngfèn) — هیجانزده 🤩 害羞 (hàixiū) — خجالتی 😳 骄傲 (jiāo’ào) — مغرور 😏 / سربلند 无聊 (wúliáo) — حوصلهسررفته 😑 困惑 (kùnhuò) — گیج 😵 / سردرگم حال امروز تو کدومشونه؟🥹 #لغت ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ 『𝓒𝓱𝓪𝓷𝓷𝓮𝓵 』@Chineselearn_Jalali
❤20🥰3🤗1😍1😢1
میخواهم چیزی به تو بگویم… اگر دیگر هیچوقت همدیگر را نبینیم، میخواهم آخرین چیزی را از تو قول بگیرم: حتماً شادتر زندگی کن.✨ و بعد… اگر ادامه متن رو با پین پین میخوای تو کامنت اول برات گذاشتم😊 #موسیقی ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ 『𝓒𝓱𝓪𝓷𝓷𝓮𝓵 』@Chineselearn_Jalali
❤32🔥2🥰2
🌱生活很甜，别忘了给自己一点甜。🍓 Shēnghuó hěn tián, bié wàngle gěi zìjǐ yìdiǎn tián. یعنی: «زندگی شیرینه، یادت نره کمی شیرینی هم به خودت هدیه بدی.» 🍓🍫
🍓36❤5🥰5
اینم یه کتاب کاربردی هدیه ما به شما به پاس همراهی شما🌹 کتاب آموزش جملات و اصطلاحات مهم چینی برای سفر کوتاه به چین به همراه فایل صوتی 🇨🇳📚🎧
❤33💯2👏1🔥1🤗1
تو این هوای گرم یه بستنی شکلاتی میچسبه 😋🍦🍫☀️ 想 (xiǎng) = خواستن، میل داشتن 💭 吃 (chī) = خوردن 🍽️ 什么味道 (shénme wèidào) = چه طعمی 🤔 巧克力味 (qiǎokèlì wèi) = طعم شکلات 等一下 (děng yíxià) = یک لحظه صبر کن 给你买 (gěi nǐ mǎi) = برایت میخرم🛒 #مکالمه ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ『𝓒𝓱𝓪𝓷𝓷𝓮𝓵 』@Chineselearn_Jalali
❤27🍓2🤗2👏1🥰1
واژههای مربوط به شبکههای اجتماعی: 📱 點讚 (diǎn zàn) = لایک کردن 👍 評論 (pínglùn) = نظر دادن / کامنت گذاشتن 💬 分享 (fēnxiǎng) = اشتراکگذاری 🔄 收藏 (shōucáng) = ذخیره کردن / نشانکگذاری📌 標記 (biāojì) = تگ کردن / برچسب زدن 🏷️ 關注 (guānzhù) = دنبال کردن (Follow) ➕ #لغت ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ𓂃ꕤ『𝓒𝓱𝓪𝓷𝓷𝓮𝓵 』@Chineselearn_Jalali
❤21👏2🥰2
Photo, posted without a caption
تخفیف ویژه پکیج های عربــــ🇮🇶ـــی✨️ 🔹ترم اول: 950 --> 750 🔹ترم دوم: 2,500 --> 2,300 🔹ترم سوم: 2,500 --> 2,300 یه آفر ویژههههه😍 اگر هر سه ترم رو باهم تهیه کنی، میتونی 1,150 تومن بیشتر ازمون تخفیف بگیری💰 یعنی هر 3 ترم عربی رو به جای 5,750 فقط با 4,600 میتونی دریافت کنی🥳 🔘نمونه تدریس رایــگان: https://t.me/+uMO0u9Ct_203YzA8 🔘آیدی جهت دریافت مشاوره و راهنمایی: @admiiin_package
❤3
Showing the 12 most recent of 28 posts we hold for @Chineselearn_Jalali. 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.
@Chineselearn_Jalali edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 650,772 of 1,481,306entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Chineselearn_Jalali” (@Chineselearn_Jalali), 7,833 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/Chineselearn_Jalali.
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.