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Channel
『انگلیسی بیاموزیم』
@Learn_4_english
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
4,943subscribers
+39 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001992595718 |
|---|---|
| Type | Channel |
| Username | @Learn_4_english |
| Created | Between 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/Learn_4_english |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 02:06 | 4,943 | +41 |
| 10 Aug 2026, 10:23 | 4,902 | +16 |
| 7 Aug 2026, 10:33 | 4,886 | -18 |
| 6 Aug 2026, 17:34 | 4,904 | first reading |
Engagement
23 posts held, back to 15 May 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 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.51%
- avg views ÷ 4,943 subscribers
- Avg views / post
- 273
- 10 posts measured
- Reaction rate
- 0.721%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 23 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 5 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 23 (15 May 2026 – 7 August 2026) |
| Views total | 2,725 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 05:08 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
- Video runtime
- 8s
- Average length
- 8s
Measured directly from 1 video 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
57 reactions across 16 posts, in 3 distinct kinds. The most used accounts for 84.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 48 | 84.2% | |
| 👍 | 8 | 14.0% | |
| 🕊 | 1 | 1.75% |
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 16 of the 23 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 57reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 15 May 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.
Recent posts
5️⃣5 نفر دیگه بیاد لینک رو باطل کنم ✈️📎
کانال VIP به مناسبت تولد ادمین رایگان شد🌹 قیمت اصلی : 299 هزار تومان عضویت در کانال VIP
✅ جواب درست کدوم بود؟ گزینه 1: 🔵 Had you told me before it was too late, I might have been able to prevent this mistake. 🤔چرا درسته؟ ✅ چون جمله شرطی نوع سومه (برای گذشتهای که دیگه تغییر نکردنیه). توی شرط سوم باید بگیم: 🔹 If + had + past participle یا حالت برعکسش: 🔹 Had + subject + past participle. 🚨اینجا داریم: Had you told me… (یعنی «اگر گفته بودی»). توی نتیجه هم باید بگیم: ✅ might / could / would + …
🤔 حالا چطوری توی لیسنینگ، کلمات شبیه هم اما با معنی متفاوت رو تشخیص بدیم؟ 🔴 این روشها رو امتحان کنید: 1️⃣ تمرکز روی تلفظ دقیق صداها: صداها رو آهسته گوش بدید و تکرار کنید. 2️⃣ گوش دادن به کلمه در جمله: معنی کلمه معمولا از جمله مشخص میشه. 3️⃣ توجه به تکیه و ریتم جمله: جایگاه استرس و طول صدای کلمه کمک میکنه فرق رو تشخیص بدیم. 4️⃣ تمرین با minimal pairs: جفتهای کلمات شبیه هم رو مرتب گوش کنید و معنیشون رو حدس بزن…
🔵 دو کلمهی ship (کشتی 🚢) و sheep (گوسفند 🐑) از نظر تلفظی خیلی به هم نزدیک هستند، اما معنیشون کامل با هم تفاوت داره! 😬 توی زبان انگلیسی، کلی از این کلمات داریم که از نظر آوایی و تلفظ، شباهت زیادی با هم دارند، اما معانیشون متفاوت از همه. 🌀 مثل: 🎚️ bit /bɪt/ → کمی، بخش کوچیک 🎚️ beat /biːt/ → ضربه زدن یا ریتم 🎚️ sit /sɪt/ → نشستن 🎚️ seat /siːt/ → صندلی 🎚️ full /fʊl/ → پُر 🎚️ fool /fuːl/ → احمق 🎚️ live /lɪv/ →…
❤1
😼 با این اصطلاحات، میتونی مکالمههات رو جذابتر و طبیعیتر کنی! 🐘 The elephant in the room ✍️ موضوع واضح و مهمی که همه از صحبت کردن دربارهاش طفره میروند. مثال: ✅ We need to talk about the elephant in the room—our declining sales. ما باید در مورد موضوع مهم و آشکاری که همه از صحبت کردن دربارهاش طفره میروند، یعنی کاهش فروشمان، صحبت کنیم. 🐝 Busy bee ✍️ کسی که همیشه مشغول کار است. مثال: ✅ She’s a busy bee, …
❤2
افعال چند قسمتی مربوط به زندگی روزمره ✅ get along (with) = کنار اومدن / رابطه خوب داشتن مثال: 👉 Do you get along with your coworkers? با همکارهات خوب کنار میای؟ ✅ hang out = وقت گذروندن با کسی مثال: 👉 We usually hang out at the mall. ما معمولا توی مرکز خرید وقت میگذرونیم. ✅ run into = به طور اتفاقی دیدن مثال: 👉 I ran into an old friend yesterday. دیروز یه دوست قدیمی رو اتفاقی دیدم. ✨ | @Learn_4_english
❤5
افعال چند قسمتی مربوط به زندگی روزمره ✅ wake up = بیدار شدن مثال: I usually wake up at 7. من معمولا ساعت ۷ بیدار میشم. ✅get up = از تخت بلند شدن مثال: 👉 She doesn’t want to get up early. اون دوست نداره زود از تخت بلند شه. ✅put on = پوشیدن لباس مثال: 👉 He put on his jacket and left. کاپشنشو پوشید و رفت. ✅ take off = درآوردن لباس / بلند شدن هواپیما مثال: 👉 Please take off your shoes. لطفا کفشهاتو دربیار. …
❤3
✅ Phrasal Verbs به چه دردی میخورن؟ 🔴 وقتی این افعال با هم میان، معنی جدیدی میسازن که معمولا با معنی فعل اصلی فرق داره. مثلا: 🔹give up = تسلیم شدن، دست کشیدن 🔹look after = مراقبت کردن 🔹 run into = برخورد کردن / بهطور اتفاقی دیدن ✅ چرا Phrasal Verbs رو باید کامل یاد بگیریم؟ 1️⃣ اگه میخواید مثل nativeها حرف بزنید، باید از phrasal verbs استفاده کنید، چون خیلی زیاد توی مکالمههای واقعی استفاده میشوند. 2️⃣ درک …
❤3
😉 Life is too short to be scared and not take risks. I'd rather be the person that's like, 'I messed up,' than, 'I wish I did that.' ✍️ Justine Skye 🔵 زندگی کوتاهتر از اونیه که آدم بترسه و ریسک نکنه. من ترجیح میدم بگم: «خراب کردم» تا اینکه بگم: «کاش اون کار رو انجام میدادم.»
❤10
انیمیشن هایی ک ارزش دیدن دارن : • Inside Out – غم هم لازمه برای رشد و همدلی • Soul – معنای زندگی در لحظههای سادهست، نه فقط هدفهای بزرگ • WALL·E – عشق و امید حتی در ویرانهها زندهان • Coco – خاطرهها ما رو زنده نگه میدارن • Mary and Max – دوستی واقعی میتونه از دل تنهایی شکل بگیره • Anomalisa – هر آدمی دنیای منحصر به فرد خودشو داره • Grave of the Fireflies – جنگ معصومیت رو هم نابود میکنه • Klaus – مهربونی واگیر…
❤3
Showing the 12 most recent of 23 posts we hold for @Learn_4_english. 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
Citation-graph rank — 746,299 of 1,345,403entries 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.
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
Named by 7 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.
Named by
Channels on the register whose posts name this channel's handle.
@hod_hod_Tabadol · 2436 postsتبادلات ''ممتاز''
@Mumtaztab · 1444 postsتبادلات خاص
@Tabadilatkhas · 453 postsتبلیغات ممتاز
@momtazTB · 72 postsانجمن دانش آموختگان الزهرا
@AlumniAlzahra · 6271 postآکادمی قطبنما🧭
@Compass_Academic · 2611 postتبلیغات پیشتازان
@pish_tabligh · 361 post
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“『انگلیسی بیاموزیم』” (@Learn_4_english), 4,943 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Learn_4_english.
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.