Channel
@Abedini_LgAcademy
On this record: Topic · Previous handles · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
48,849subscribers
-189 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001363802062 |
|---|---|
| Type | Channel |
| Username | @Abedini_LgAcademy |
| Description | 🤩 آموزش عالی زبان های خارجی بدون معلم بدون کلاس با فیلم و کارتون ارتباط با ما 👇👇👇 @learningPackages20 |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/Abedini_LgAcademy |
Software piracy — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 39% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
@Abedini_LgAcademy was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 3 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @RealEnConversations/203329 Jul 2026, 01:20 UTC | @everydayenglishtalk/196059 Jul 2026, 01:20 UTC | 1.00 | under a minute |
| @RealEnConversations/2033910 Jul 2026, 23:48 UTC | @everydayenglishtalk/1961310 Jul 2026, 23:48 UTC | 1.00 | under a minute |
| @RealEnConversations/2034117 Jul 2026, 23:38 UTC | @everydayenglishtalk/1962317 Jul 2026, 23:38 UTC | 1.00 | under a minute |
| @RealEnConversations/2034218 Jul 2026, 00:06 UTC | @everydayenglishtalk/1962418 Jul 2026, 00:06 UTC | 1.00 | under a minute |
| @RealEnConversations/2035119 Jul 2026, 22:17 UTC | @everydayenglishtalk/1963519 Jul 2026, 22:17 UTC | 1.00 | under a minute |
| @RealEnConversations/2035319 Jul 2026, 22:17 UTC | @everydayenglishtalk/1963719 Jul 2026, 22:17 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @RealEnConversations | 16 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @RealEnConversations (10–6) |
| @easyfunnyenglishforkids | 15 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @easyfunnyenglishforkids (12–3) |
| @MusicOwallpaper | 15 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (8–7) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 29 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 9 July 2026 to 31 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 4, the earliest publisher we hold is @easyfunnyenglishforkids. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 05:43 | 48,849 | -111 |
| 14 Aug 2026, 16:28 | 48,960 | +7 |
| 12 Aug 2026, 23:31 | 48,953 | +27 |
| 11 Aug 2026, 09:03 | 48,926 | -50 |
| 10 Aug 2026, 08:49 | 48,976 | -19 |
| 9 Aug 2026, 11:51 | 48,995 | -38 |
| 8 Aug 2026, 14:25 | 49,033 | -59 |
| 7 Aug 2026, 14:15 | 49,092 | +54 |
| 6 Aug 2026, 14:43 | 49,038 | no change |
| 6 Aug 2026, 13:15 | 49,038 | first reading |
29 posts held, back to 9 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 26 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 8 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 29 (9 July 2026 – 14 August 2026) |
| Views total | 16,216 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 14:53 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.
Lifetime counters from Telegram’s own channel header, read 16 August 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.
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.
23 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 87.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 20 | 87.0% | |
| 👍 | 2 | 8.70% | |
| 😢 | 1 | 4.35% |
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 11 of the 29 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 9 July 2026 to 14 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.
🇬🇧 #اصطلاحات_و_ضربالمثلها 🟢 پست شماره ۱ 💬 Break a leg! 🎭 ❌ معنی تحتاللفظی: «پات بشکنه!» 😳😂 ✅ معنی واقعی: موفق باشی! / امیدوارم عالی پیش بره! 📌 این اصطلاح قبل از اجرا، امتحان، مصاحبه یا یک موقعیت مهم استفاده میشود. 🗣️ Example: — I have a big exam tomorrow. — Break a leg! 🍀 🇮🇷 ترجمه: — فردا یک امتحان مهم دارم. — موفق باشی! 🎯 چالش امروز: اگر دوستت فردا مصاحبه کاری دارد، چطور به انگلیسی براش آرزوی موفقیت می…
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#نکته_هااااا به خودمون نگاه کنیم ، مهارت شنیداری ما چقدر ضعیف بود چقدر از ما هنوز فیلم میبینیم هیچی متوجه نمیشیم چون مهارت شنیداری مون از کودکی تقویت نشده. این تجربه ی وحشتناک رو نزار برای فرزندت تکرار بشه. اگر دوست داری کودک شما از همون ابتدا مهارت شنیداری ش قوی بشه این #پکیج_صوتی_کودک رو از دست نده. #سفارش_و_خرید_مجموعه👇👇👇 @learningPackages20
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#پکیج_صوتی_کودک #تقویت_مهارت_شنیداری 🎧👧🧒 یادگیری زبان با فایلهای صوتی کودکانه یادگیری زبان فقط با کتاب و حفظ کردن لغت نیست! 🌱 کودک با شنیدن مداوم کلمات، جملهها، داستانها و مکالمات ساده میتواند گوش خود را با زبان جدید آشنا کند و بهمرور تلفظ و درک شنیداری بهتری پیدا کند. 💚 🎵 فایلهای صوتی جذاب 📖 داستانهای کودکانه 🗣️ مکالمات ساده و روزمره 🔊 تمرین شنیداری و تلفظ ✨ بشنو، تکرار کن، یاد بگیر! #تخفیف_آخر_هفته این…
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🇩🇪🥉 پکیج #برنزی سطح A1 زبان #آلمانی دوست داری زبان #آلمانی رو از صفر شروع کنی؟ 🌱 با یک مسیر ساده و جذاب، از الفبا و تلفظ تا لغات پایه، مکالمات روزمره، ویدئوهای آموزشی، فایلهای صوتی و داستانهای ساده پیش برو. ✨ 🎁 همراه با پکیج کارتونهای آلمانی و پکیج خوشنویسی آلمانی 🖤❤️💛 مناسب یادگیری خودآموز و شروع از پایه ✨ هوشمند یاد بگیر، روان صحبت کن #سفارش_و_خرید_پکیج👇👇👇 @learningPackages20
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🇫🇷🥉 پکیج #برنزی سطح A1 زبان #فرانسه دوست داری زبان فرانسه رو از صفر شروع کنی؟ 🌱🇫🇷 با یک مسیر ساده و جذاب، از الفبا و تلفظ تا لغات پایه، مکالمات روزمره، ویدئوهای آموزشی، فایلهای صوتی و داستانهای ساده پیش برو. ✨ 🎁 همراه با پکیج کارتونهای فرانسوی و پکیج خوشنویسی فرانسه 💙🤍❤️ مناسب یادگیری خودآموز و شروع از پایه ✨ هوشمند یاد بگیر، روان صحبت کن. #سفارش_و_خرید_پکیج👇👇👇 @learningPackages20
🇨🇳🥉 پکیج #برنزی سطح A1 زبان #چینی دوست داری زبان چینی رو از صفر شروع کنی؟ 🌱 با یک مسیر ساده و جذاب، از الفبا و تلفظ تا لغات پایه، مکالمات روزمره، فایلهای صوتی و ویدئوهای آموزشی پیش برو. ✨ 🎁 همراه با پکیج کارتونهای چینی کودکانه و پکیج خوشنویسی چینی 💚 مناسب یادگیری خودآموز و شروع از پایه ✨ هوشمند یاد بگیر، روان صحبت کن. #سفارش_و_خرید_پکیج👇👇👇 @learningPackages20
🇹🇷🥉 #پکیج_برنزی سطح A1 #ترکی میخواهید زبان #ترکی را از صفر و با هزینهای مناسب شروع کنید؟ 🌱 در این پکیج، قدمبهقدم با الفبا و تلفظ، خهغفلغات پایه، مکالمات روزمره، ویدئوهای آموزشی، فایلهای صوتی و محتوای جذاب همراه میشوید. ✨ 🎁 هدیه ویژه: 🎬 پکیج عالی کارتونهای کودکانه ✍️ پکیج خوشنویسی 💚 مناسب یادگیری خودآموز و شروع از پایه 🏫 ِ✨ هوشمند یاد بگیر، روان صحبت کن #سفارش_و_خرید_پکیج👇👇👇 @learningPackages20
🇸🇦🥉 پکیج #برنزی سطح A1 زبان #عربی میخواهی زبان #عربی را از صفر و با هزینهای مناسب شروع کنی؟ 🌱✨ در این پکیج، قدم به قدم با الفبا و تلفظ، لغات پایه، مکالمات روزمره، ویدئوهای آموزشی، فایلهای صوتی و داستانهای ساده همراه میشوی. 🎧📚 🎁 هدایای ویژه: 🎬 پکیج عالی کارتونهای کودکانه 🪅پکیج افسانه های صوتی تصویری 💚 مناسب یادگیری خودآموز و شروع از پایه ✨ هوشمند یاد بگیر، روان صحبت کن #سفارش_و_خرید_پکیج👇👇👇 @learnin
🇬🇧🥉 پکیج #برنزی سطح A1 زبان #انگلیسی اگر میخواهی زبان انگلیسی را از صفر و با کمترین هزینه شروع کنی، این پکیج برای توست! 🌱✨ 📚 آموزش از الفبا و تلفظ تا لغات پایه و مکالمات روزمره 🎬 ویدئوهای آموزشی و موضوعی 🎧 فایلهای صوتی و تمرین شنیداری 🃏 فلشکارتهای تصویری و جذاب 🎁 هدایای ویژه: ✍️ پکیج خوشنویسی انگلیسی 🎬 پکیج متنوع کارتونهای آموزشی 🃏 پکیج عالی فلشکارتهای تصویری 💚 مناسب یادگیری خودآموز و شروع از پایه ✨ هوش…
#فرانسه #فرانسه 🇫🇷✨ یادگیری زبان فرانسه با #مجلات_فرانسوی ✨🇫🇷 📚📖مجموعه مجلات آموزشی و خواندنی فرانسه برای زبانآموزان کودک، نوجوان و بزرگسال 📖 با مطالعه مجلات جذاب فرانسوی: ✅ دایره لغات خود را افزایش دهید ✅ با فرهنگ و سبک زندگی فرانسوی آشنا شوید ✅ خواندن و درک مطلب خود را تقویت کنید ✅ زبان فرانسه را به شیوهای واقعی و لذتبخش یاد بگیرید. 🌱 هر صفحه، یک قدم به تسلط بر زبان فرانسه دهها مجله ی بسیار عالی هر مجله…
#پویش_نذر_سلامتی» 🌿 این پویش از یک تجربهی شخصی و آرزوی قلبی برای همراهی با بیماران سرطانی و بیماران اعصاب و روان شکل گرفته است. سالهاست از نزدیک با سختیهای مسیر درمان و دغدغههای خانوادههای این عزیزان آشنا هستم. به همین دلیل تصمیم گرفتم بخشی از فعالیت آموزشی خود را به این مسیر انساندوستانه اختصاص دهم. کمکهای این پویش بدون واسطه و با مسئولیت شخصی، به بیماران و خانوادههایی که با آنها در ارتباط هستم، اختصاص داد…
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#یک_نمونه_ی_کوچولو😍😍😍 Senorita ~Camila Cabello and Shawn🌼💫 #پکیج_موسیقی_و_زبان این پکیج چه فایده ای داره؟؟ این پکیج کمکت میکنه در ✅👈 تقویت مهارت شنیداری ✅👈 تقویت مهارت خواندن ✅👈 تقویت مهارت جمله سازی ✅👈تقویت مهارت تلفظ و لهجه ✅👈 تقویت مهارت مکالمه فکرشو میکردی با یک پکیج موسیقی بتونی این همه مهارت یاد بگیری؟؟ همین الان امتحانش کن😍😍 #سفارش_و_خرید_مجموعه👇👇👇 @learningPackages20 #سفارش_و_خرید_مجموعه👇👇👇 @l
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Showing the 12 most recent of 29 posts we hold for @Abedini_LgAcademy. 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.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“آکادمی زبان کودک و بزرگسال عابدینی” (@Abedini_LgAcademy), 48,849 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/Abedini_LgAcademy.
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.