Channel
@lexicallab
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
377subscribers
-7 since we began measuring on 11 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001619575691 |
|---|---|
| Type | Channel |
| Username | @lexicallab |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 September 2026 |
| Last confirmed live | 28 October 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 28 October 2026 |
| On Telegram | t.me/lexicallab |
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 26 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Oct 2026, 13:56 | 377 | -2 |
| 22 Oct 2026, 14:40 | 379 | -1 |
| 14 Oct 2026, 09:06 | 380 | -2 |
| 7 Oct 2026, 16:01 | 382 | -1 |
| 26 Sept 2026, 21:41 | 383 | -1 |
| 12 Sept 2026, 00:22 | 384 | no change |
| 11 Sept 2026, 23:47 | 384 | first reading |
20 posts held, back to 12 August 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 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 10 September 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 12 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.
8 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 6 | 75.0% | |
| 👌 | 1 | 12.5% | |
| 💯 | 1 | 12.5% |
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 8 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 8 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 12 August 2026 to 10 September 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.
In this week's live Standout Teacher sessions, you can discuss how to exploit grammar and vocab exercises in communicative ways, create task to revise more items, and explore the role of mentoring in teacher development. Join here: https://courses.lexicallab.com/bundles/standout-teachers-basic
Revision tasks can be divided into two types - ones focused on recalling items and others more focused on spending practice. We'll be looking at the former in our standout teacher live session this Saturday morning. Join us via this link: https://courses.lexicallab.com/bundles/standout-teachers-basic
Today’s ONE-MINUTE ENGLISH video was inspired by a student of mine who's come to recognise that her love of history doesn't always lead to great conversations! https://youtu.be/tHOaOMA9DGo?si=LlbNzdZF4leTh02s
Today’s ONE-MINUTE ENGLISH video was inspired by the recent political scandal surrounding one of our most odious right-wing populists here in the UK. https://www.youtube.com/watch?v=1WlBqSVWs7c&t=11s
Today’s ONE-MINUTE ENGLISH video was inspired by a chat with my mum last night in which she mentioned the fact her plans for next Monday have had to change, https://www.youtube.com/watch?v=zDJWiqWTgBU
💯1
Today’s ONE-MINUTE ENGLISH video was inspired by an interview I heard where a musician who was big in the 70s was reflecting on some of the mistakes he made back then. https://www.youtube.com/watch?v=gr8IdJSCjok&t=4s
👌1
Today’s ONE-MINUTE ENGLISH video was inspired by a brief chat with a neighbour of mine about how he’s feeling about his team’s prospects ahead of the new football season.
👍1
Today at 17.00 London time (19.00 Kyiv time), I’ll be doing another of my monthly Lives with Ukrainian teachers, Today, I’ll be talking to Valeria - born in russia, but shaped by Ukraine, Valeria is an English and Ukrainian language teacher based in the Black Sea coastal city of Odesa. Please join us to hear first-hand what life in Ukraine is like right now. https://www.instagram.com/hugh_dellar/
Every July, we run a two-week Teacher Development course here in London, exploring ways in which a lexical approach to language might impact our everyday classroom practices. We also provide a great cultural and social programme too. However, rather than have me tell you how great the course is, I thought I’d let some of the wonderful teachers who were on the course this year tell you what they most enjoyed about it.…
Our next webinar is on Friday September 28th at 2pm UK time and it’s one for any teacher who’s ever wondered if they’re teaching the right language. You can get the link by being a member of Standout Teachers basic. It’s free. https://courses.lexicallab.com/bundles/standout-teachers-basic
Every July, we run a two-week Teacher Development course here in London, exploring ways in which a lexical approach to language might impact our everyday classroom practices. We also provide a great cultural and social programme too. However, rather than have me tell you how great the course is, for the next few weeks while I’m on holiday, I thought I’d let some of the wonderful teachers who were on the course this y…
👍1
Every July, we run a two-week Teacher Development course here in London, exploring ways in which a lexical approach to language might impact our everyday classroom practices. We also provide a great cultural and social programme too. However, rather than have me tell you how great the course is, for the next few weeks while I’m on holiday, I thought I’d let some of the wonderful teachers who were on the course this y…
👍1
Showing the 12 most recent of 20 posts we hold for @lexicallab. 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 28 October 2026 — this entry's latest reading, not the date you are reading this.
“Lexical Lab” (@lexicallab), 377 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/lexicallab.
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.