2000 basic words. The defining Vocabulary of 2000 basic words is the list of the most basic words that are used to give definitions to all the other words in the Longman Dictionary. You may find it useful to check out and memorize all of them since they can be used to talk about almost anything. @acing_english #vocabulary

Channel
Acing English | English/IELTS
@acing_english
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9subscribers
+0 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002060473836 |
|---|---|
| Type | Channel |
| Username | @acing_english |
| Created | Between 1 November 2023 and 13 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/acing_english |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 02:05 | 9 | no change |
| 12 Aug 2026, 23:17 | 9 | first reading |
Engagement
20 posts held, back to 13 April 2024 — 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 pageof 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 4 May 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 1m 55s
- Average length
- 1m 55s
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
2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ⚡ | 1 | 50.0% | |
| 👍 | 1 | 50.0% |
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 2 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 2reactions 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 13 April 2024 to 4 May 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.
Recent posts
Good part of the day everyone! I have created a channel where I, hopefully, will be posting daily vocabulary challenge and hopefully will keep doing this consistently, and I am inviting everyone to join me on this journey . Here is the link; feel free to join and share. @no_skipping #vocabulary
The Essay Activator has been created to help you improve your written English. By varying the range of vocabulary and expressions that you use, your essays will become richer and your grades will improve. P.S. highly recommended for IELTS Writing Task 2 credits to some guy on telegram @acing_english #writing
Comprehension. Ko’p xolatlarda, asosan testning READING qismida va ummuman har qanday matnni o’qib tushunishda, so’z boyligi doim ham asosiy muammo emas. Xo’sh, unda qanday qilib yaxshiroq tushunish mumkin? Ancha avval youtubeda bir video ko’rgan edim, bir nechta tanishlarim bilan ulashganman ham. Ushbu videoda, tajribali tilshunos qanday qilib tushunish ko’nikmasini rivojlantirish haqida gapirgan. Shaxsan o’zim (R:…
⚡1
English with Brittany. A relatively small youtube channel with over 140k followers. I bumped into one of the videos in my recommendations list. After checking out some of the content, I can share it with you without any doubts. https://youtu.be/RBoW7PjU1d0?si=wJlD_eAQvpkzGEdN @acing_english #general
Here's a list of recommendations I wrote for my friend. It's in Russian but probably you'd want to check out resources or translate it to the language you want. https://telegra.ph/Subektivnye-rekomendacii-dlya-izucheniya-anglijskogo-yazyka-10-23 @acing_english #general
The first paragraph of the letter seems like a good strategy for General IELTS/CEFR writing task 1 if you’re struggling with covering the minimum word count requirement. This is one of the things I really like about learning a languange without actually learning it. You immerse yourself in the content in English and unconsciously start absorbing useful chunks of language. P.s. Explaining the picture, you can includ…
A very good video with tons of interesting phrases that you can use in daily conversations or in your IELTS speaking test. Both entertaining and useful. https://youtu.be/7SaG6lkICy4?si=Fyb0Eew2QTrBn4Bm @acing_english #vocabulary
Bekzod Mirahmedov (BM 9) shared a post about an academic words list containing 557 words, collected by Averix Coxhead as part of her MA. I made some googling and found useful resources to learn these words. Flashcard-based vocabulary learner, contains words, their pronunciation and definitions: https://www.vocabulary.com/lists/218701 The list itself: https://www.wgtn.ac.nz/lals/resources/academicwordlist/awl-hea…
Real life english app from the youtube channel “Learn english with tv series”. Could be useful for enhancing your vocab. The channel itself is also one of the most useful and entertaining channels on YouTube. Highly recommended @acing_english #vocabulary
I came across a lesson from a gorgeous lady on youtube. Enjoy watching and learning some useful stuff about the pronunciation of -ed endings. https://youtu.be/ELoHqiOxnH8?si=LCYVAxTBkmgV6tHH @acing_english #speaking
A very interesting AI project which was built to help us with the speaking. I've tried its demo version and didn't expect it to be this good, to be honest. Feel free to check it out. https://demo.hume.ai @acing_english #speaking
👍1
Showing the 12 most recent of 20 posts we hold for @acing_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 — 908,533 of 1,549,704entries 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.
Mentions
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Acing English | English/IELTS” (@acing_english), 9 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/acing_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.