Channel
@rj_english_learning
On this record: Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
769subscribers
+9 since we began measuring on 18 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002037714919 |
|---|---|
| Type | Channel |
| Username | @rj_english_learning |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 18 August 2026 |
| Last confirmed live | 4 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 4 September 2026 |
| On Telegram | t.me/rj_english_learning |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Sept 2026, 00:36 | 769 | +7 |
| 26 Aug 2026, 23:16 | 762 | +1 |
| 19 Aug 2026, 19:52 | 761 | +1 |
| 18 Aug 2026, 23:01 | 760 | no change |
| 18 Aug 2026, 22:45 | 760 | first reading |
20 posts held, back to 11 September 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 9 October 2025. An engagement rate over an empty window would be a number about nothing.
164 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 71.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 117 | 71.3% | |
| 👍 | 22 | 13.4% | |
| 👌 | 10 | 6.10% | |
| ❤🔥 | 5 | 3.05% | |
| 🖕 | 5 | 3.05% | |
| 👏 | 4 | 2.44% | |
| 😍 | 1 | 0.61% |
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 20 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 164 reactions 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 11 September 2025 to 9 October 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🎯 دنبال یه اپلیکیشن فوقالعاده برای تمرین روزانه زبان انگلیسی هستی؟ معرفی میکنم: LingoPanda 🐼 یه نرمافزار هوشمند و حرفهای که مثل یه دوست واقعی باهات انگلیسی صحبت میکنه! هر روز میتونی باهاش مکالمه داشته باشی، توی موقعیتهای مختلف تمرین کنی، و با استفاده از صدات، فیدبک دقیق روی تلفظ، لحن و ساختار جملاتت بگیری✅ ✨ امکانات جالب لینگو پاندا: • گفتوگوی واقعی با هوش مصنوعی🤖 •قابلیت ویدیوکال و چت با نیتیو اسپیکر ها …
❤4🖕1
این کتاب برای توعه اگر که آیلتسی هستی و میخوای Readingت رو تقویت کنی تو کتاب Reading ماکار تعداد قابل توجهی متن و مقاله مشابه آیلتس همراه با سوال داری 📖 این کتاب رو که بخونی: با نمونه سوالها آشنا میشی فرمت سوالات آیلتس دستت میاد دایره لغاتت بیشتر میشه تکنیکهای پاسخدهی سوالات مختلف دستت میاد. بفرست برا دوست آیلتسیت✨
❤3
کتاب برای مهارت ریدینگ معرفی کنم؟👀📚
👍12🖕1
روز اول هفته تون بخیر😍 📍Modal Verbهای مربوط به Obligation (الزام و اجبار) 1️⃣ Must = باید (اجبار قوی / قانونی یا شخصی) • You must wear a seatbelt in the car. باید کمربند ایمنی ببندی. (قانون) • I must call my mom tonight. باید امشب به مامانم زنگ بزنم. (احساس شخصی / قوی) ➖➖➖ 2️⃣ Have to = مجبور بودن (واقعیت بیرونی / قانون / شرایط) • Students have to wear uniforms. دانشآموزها مجبورند یونیفرم بپوشند. • I have to …
❤5👍2🖕1
آلبوم جدید Taylor Swift😍
❤🔥5❤1
Eating🥪🥗 ✅Grab a bite (to eat): یه چیزی به بدن زدن ✅Dig in: بزن تو رگ ✅Eat out: بیرون غذا خوردن ✅Have a snack: میان وعده خوردن ✅Tuck into (something): با اشتها خوردن / با ولع خوردن ✅Devour a meal: حریصانه خوردن/ ی لقمه چپ کردن ✅Savor the taste: از طعم (چیزی) لذت بردن ✅Picky eater: ادم بدغذا ✅Home-cooked meal: غذای خونگی ✅Finger-licking good: غذایی که خیلی خوشمزه باشه. ✅Have a sweet tooth: شیرینی خور بودن …
❤9🖕2
اگه سطح زبانت upper intermediate به بالاست برو سراغ این رمان داستایفسکی که یکی از بهتریناست! کتاب gambler همون قماربازه معروفه که احتمالا بارها اسمش رو شنیدی
❤6😍1
تفاوت Present Perfect و Present Perfect Continuous 🟢Present Perfect – have/has + V3 ✅ نشان میدهد یک کار از گذشته شروع شده و الان هم حقیقت دارد یا نتیجهاش مهم است. • I have lived here for five years. (پنج سال است اینجا زندگی میکنم.) 👉 تمرکز روی «مدت زمان» یا «نتیجه»؛ مهم است که این پنج سال کامل شده است. ⸻ 🟡 Present Perfect Continuous – have/has + been + V-ing ✅ نشان میدهد کاری از گذشته تا همین لحظه ادامه دا…
❤10
👩🏫سوالات پرتکرار در کلاس زبان 1. Can I borrow a pencil? میتوانم یک مداد قرض بگیرم؟ 2. Will this be on the exam? آیا این موضوع در امتحان خواهد بود؟ 3. Do we have to write this down? آیا باید این را بنویسیم؟ 4. When is the assignment due? تکلیف کی موعدش است؟ 5. Can I sit here? میتونم اینجا بشینم؟ 6. What does this word mean? این کلمه چه معنی دارد؟ 7. Can you please repeat that please? می…
❤10
Hiiiiii Morning☀️ یکم بریم تو کار این مدل آموزشا که کم طرفدار نداره🫣 🔴 انواع تموم شدن: 🥛 to be out of milk 🎬The movie is over 🌧 The rain has stopped 🔋 My battery is dead 🕔 Time is up @Rj_English
❤12
حالا در نقطه مقابلش Lone wolf 🐺 is a person who likes to do things on their own and without others. «گرگ تنها» کلمه ایه که استفاده میشه برای آدمی که تنهایی رو میپسنده. تنها بودن و تنها کار کردن! @Rj_English💚
❤9
سلام سلام بریم یه اصطلاح جالب یاد بگیریم🤭 ▪️Cuffing season یه اصطلاح غیررسمی و جالبه، وقتی هوا سرد میشه، بعضیا بیشتر دنبال یه رابطهی جدی و موندگار میافتن — چون نمیخوان زمستون رو تنها بگذرونن! به این پدیده میگن cuffing season مثلا: It’s cuffing season — everyone’s suddenly in a relationship! @Rj_English📗💚
❤11
Showing the 12 most recent of 20 posts we hold for @rj_english_learning. 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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 4 September 2026 — this entry's latest reading, not the date you are reading this.
“Rj_English” (@rj_english_learning), 769 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/rj_english_learning.
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.