Channel
@LexigoAcademy
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,976subscribers
-365 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003611973157 |
|---|---|
| Type | Channel |
| Username | @LexigoAcademy |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/LexigoAcademy |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 14 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 08:57 | 2,976 | -97 |
| 14 Sept 2026, 12:37 | 3,073 | -9 |
| 10 Sept 2026, 18:38 | 3,082 | -91 |
| 5 Sept 2026, 19:57 | 3,173 | -85 |
| 1 Sept 2026, 10:59 | 3,258 | -49 |
| 29 Aug 2026, 18:45 | 3,307 | -32 |
| 26 Aug 2026, 23:44 | 3,339 | -56 |
| 24 Aug 2026, 02:34 | 3,395 | -127 |
| 20 Aug 2026, 02:53 | 3,522 | -106 |
| 17 Aug 2026, 13:23 | 3,628 | +545 |
| 14 Aug 2026, 00:16 | 3,083 | -191 |
| 10 Aug 2026, 08:10 | 3,274 | -59 |
| 7 Aug 2026, 08:48 | 3,333 | -8 |
| 6 Aug 2026, 18:01 | 3,341 | first reading |
23 posts held, back to 27 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 3 pages 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 23 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
159 reactions across 22 posts, in 8 distinct kinds. The most used accounts for 29.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 47 | 29.6% | |
| 👏 | 36 | 22.6% | |
| 😍 | 36 | 22.6% | |
| 👌 | 17 | 10.7% | |
| 🥰 | 8 | 5.03% | |
| 🤩 | 7 | 4.40% | |
| 💯 | 4 | 2.52% | |
| 🙏 | 4 | 2.52% |
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 22 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 159 reactions 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 27 July 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.
بیاید باهم صداهایی که موقع خوردن به گوشمون میرسه رو باهم چک کنیم 😬🥴 مثلا ی سری از افراد هستن که میگیم مث گاو غذا میخورن 🤣 اونیکه صدای قرچ قرچ داره Crunch He's crunching 😬 اونیکه خیلی ملچ ملوچ میکنه Munch She's munching 🥴 اونی که هورت میکشه مثلا سوپو هورت میکشه He is slurping گازگاز کردن مثل گاز زدن بلال Gnaw وقتی ی نفس آب رو نوشیدنی رو میخوره قلپ قلپ/ Glup He is gluping 😯 و اونی هم که بی تربیتِ و آروغ میزنه H…
👏6👌4😍3❤1🥰1
چندتا عبارت جذاب 😍 Ups and downs فراز و نشیب Safe and sound سالم و سلامت By and large بطور کلی Now and then هرازگاهی Spick and span تر و تمیز Hustle and bustle شلوغی و هیاهو Peace and quiet آرامش و سکوت Odds and ends خرت و پرت Pros and Cons مزایا و معایب Ins and outs زیر و بم #real_life@LexigoAcademy #انگلیسی_روزمره
😍6👏4💯3🤩1
یک بار دیگه تفاوت In vs. At برای مکان ها رو باهم بررسی کنیم 😍👌😍 #real_life@LexigoAcademy #انگلیسی_روزمره
❤2🤩1
ی بار باهم این موارد رو چک کنیم 😍👌 خواستم بگم عادت دارم : Be used to + verb +ing something I'm used to getting up early. من به زود بیدار شدن عادت دارم. خواستم بگم دارم عادت می کنم : Get used to + verb + ing something I'm getting used to getting up early. دارم کمکم به زود بیدار شدن عادت میکنم. خواستم بگم عادتی داشتم در گذشته که الان نیست/ الان دیگه ندارمش : Used to + verb I used to get up early. قبلا عادت د…
👏7😍5❤2🙏2
#real_life@LexigoAcademy #ieltstips #TOFELTIPS #انگلیسی_روزمره
😍3❤2👌2👏1
اصطلاحاتی برای توصیف آدم ها : ✅People pleaser یعنی کسی که همیشه میخواد همه ازش راضی باشن، نه نگفتن براش سخته She's such a people pleaser — she can never say no. ✅Control freak یعنی کسی که باید همه چیز دست خودش باشه و نمیتونه رها کنه He's a total control freak — he micromanages everything. ✅Early bird یعنی کسی که صبح زود بیدار میشه و کارهاشو زود شروع میکنه I'm an early bird — I'm always up before sunri…
😍8👏5❤2💯1
This video is pure rage bait 😵💫😡 اصطلاح Rage bait یعنی محتوایی که عمداً طوری ساخته یا منتشر میشود که مردم را عصبانی، تحریک یا خشمگین کند تا بیشتر کامنت بگذارند، بحث کنند یا آن را به اشتراک بگذارند!!! تحت الفظی میگیم طعمهٔ عصبانیت 🫢 He posts rage bait to get more views. «او برای گرفتن بازدید بیشتر، محتوای تحریککننده منتشر میکند.» #real_life@LexigoAcademy #انگلیسی_روزمره
❤4👏4🤩1🥰1
⚠️فریب ترجمهی تحتاللفظی را نخور! 🚫 وقتی یک انگلیسیزبان میگوید: Elon Musk is nothing if not innovative. منظورش این نیست که «ایلان ماسک هیچ چیزی نیست اگر نوآور نباشد» 😄 این ساختار برای تأکید شدید روی یک ویژگی استفاده میشود: be nothing if not + adjective/noun یعنی: ✨ «اگر یک ویژگی داشته باشد، آن ویژگی قطعاً … است» ✨ «چیزی که نمیتوان انکار کرد، … بودن اوست» ✅️این ساختار معمولاً با ویژگیهای شخصیتی، فکری یا بر…
👏4❤3🥰3🤩1😍1🙏1
😊 میخای بگی دارم میام سمتت به انگلیسی چجوری میگی؟! خیلیا میگن I'm coming to you. که البته درسته ها ولی طبق چیزی که شنیدم و دیدم بهتره که به جای این عبارت اینو بگیم که خیلی مصطلح تره : I'm headed your way. پس یعنی دارم میام سمتت 😍👌 #real_life@LexigoAcademy #انگلیسی_روزمره
😍4❤2🙏1
Lexigo Academy pinned a video
🤌👏👌😍🍓 با دقت ویدیو رو ببینید خیلی اصطلاحات نمکی خوب و پرکابردی داره بریم باهم چک کنیم 👏 Alarm goes off, but I play dead ساعتم زنگ میخوره ولی من خودمو به مردن میزنم! منظورمون اینه ساعتمو ایگنور میکنم 😂 و از جام بلند نمیشم 😁 Don't play dumb 🥴 وانمود نکن که نمیفهمی خودتو به نفهمی نزن! I drag myself to work 🫠 خودمو به زور میکشونم سرکار! منظورش اینه با بی حوصلگی و خستگی زیاد میرم سرکار! She drags herself to bed مثلا ان…
👌2👏2🥰2❤1🤩1😍1
Ordering a Burger in English Leaen How to order a Burger 🤔 I want a burger, hold the onion. یعنی: یک برگر میخواهم، لطفاً پیازش را نگذارید. یا یک همبرگر بدون پیاز میخواهم! 🤷♀️ What does hold mean here? در این جمله، hold به معنی «نگه داشتن» نیست. در سفارش غذا: hold = حذف کردن / اضافه نکردن یک ماده Useful Expressions ✅ More natural expression I’d like a burger without onions, please. لطفاً یک برگر بدون پیاز …
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Showing the 12 most recent of 23 posts we hold for @LexigoAcademy. 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.
Named by 1 registered channel — 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.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Lexigo Academy” (@LexigoAcademy), 2,976 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/LexigoAcademy.
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.