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Channel
oxford practice grammar
@intermediate
On this record: Topic · Growth · Engagement · Posts · Citations · Telegram's recommendations · Cite this entry
2,581subscribers
-25 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001005208454 |
|---|---|
| Type | Channel |
| Username | @intermediate |
| Created | Between 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/intermediate |
Topic
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 15 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 00:40 | 2,581 | +3 |
| 12 Sept 2026, 08:16 | 2,578 | -2 |
| 8 Sept 2026, 11:15 | 2,580 | -2 |
| 3 Sept 2026, 06:28 | 2,582 | -3 |
| 31 Aug 2026, 05:26 | 2,585 | -1 |
| 27 Aug 2026, 23:14 | 2,586 | -1 |
| 24 Aug 2026, 14:07 | 2,587 | -4 |
| 21 Aug 2026, 00:54 | 2,591 | -10 |
| 17 Aug 2026, 18:06 | 2,601 | -5 |
| 14 Aug 2026, 17:18 | 2,606 | no change |
| 14 Aug 2026, 03:01 | 2,606 | first reading |
Engagement
19 posts held, back to 19 March 2018 — 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 19 posts for this entry, the most recent from 5 August 2022. An engagement rate over an empty window would be a number about nothing.
Recent posts
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💚all about third conditional ✅Third conditional sentences are used to explain that present circumstances would be different if something different had happened in the past. Look at the following examples: ✅If you had told me you needed a ride, I would have left earlier. ✅If I had cleaned the house, I could have gone to the movies. ❗️These sentences express a condition that was likely enough, but did not actually h…
💛all about second conditional Second conditional sentences are useful for expressing outcomes that are completely unrealistic or will not likely happen in the future. Consider the example below: ✅If I inherited a billion dollars, I would travel to the moon. ❌the correct way to structure second conditional sentences is to use the simple past tense in the if-clause and an auxiliary modal verb (e.g., could, should, wo…
Showing the 12 most recent of 19 posts we hold for @intermediate. 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.
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.
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.
Appears in Telegram’s recommendations for other channels
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.
@English_by_Book · 24,054
Telegram ranks this channel #29 of 69 here — alongside 68 others — read 17 September 2026
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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“oxford practice grammar” (@intermediate), 2,581 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/intermediate.
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.