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 12 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
13 measurements spanning 36 days, net +859. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 5,230–8,272 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 13:37
6,440
-71
13 Sept 2026, 04:17
6,511
-132
9 Sept 2026, 12:16
6,643
-194
3 Sept 2026, 19:00
6,837
-131
31 Aug 2026, 17:14
6,968
-128
28 Aug 2026, 22:04
7,096
-173
25 Aug 2026, 21:14
7,269
-402
22 Aug 2026, 15:44
7,671
-250
19 Aug 2026, 15:57
7,921
+1,389
16 Aug 2026, 13:57
6,532
+588
12 Aug 2026, 12:43
5,944
+363
12 Aug 2026, 01:45
5,581
no change
12 Aug 2026, 01:32
5,581
first reading
Engagement
40 posts held, back to 19 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 6 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 40 posts for this entry, the most recent from 23 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
35m 04s
Average length
35m 04s
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
576 reactions across 34 posts, in 20 distinct kinds. The most used accounts for 25.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
145
25.2%
❤
137
23.8%
🌚
69
12.0%
❤🔥
46
7.99%
😁
39
6.77%
🆒
22
3.82%
🤯
17
2.95%
custom 5431517669469724038
16
2.78%
💯
16
2.78%
custom 5224607267797606837
13
2.26%
⚡
12
2.08%
🏆
11
1.91%
🐳
10
1.74%
👍
7
1.22%
😍
7
1.22%
🎉
4
0.694%
🍾
2
0.347%
👏
1
0.174%
🤓
1
0.174%
🥰
1
0.174%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 34 of the 40 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 576 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 19 July 2026 to 23 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.
Passage: As far as the researchers can tell, a single dolphin may have invented the technique relatively recently and taught it to her offspring. The simple innovation dramatically changed their behavior, hunting habits, and social life, the researchers found. Those that adopted it became loners who spent much more time hunting than others and dive more deeply in search of prey. The sponging dolphins teach the techn…
Passage: As an eighteen-year-old living in the small Australian island state of Tasmania, moving to the 'mainland' could not happen soon enough. Now, ten years later, I look forward to going home. This is probably because I've grown up, but also perhaps because the cultural landscape of Tasmania has matured. The latest addition to Tasmania's cultural scene is David Walsh's Museum of Old and New Art (MONA), a museum t…
A video walkthrough - Passage 2
In this video lesson you'll learn:
✔️How to approach Passage 2
✔️How to deal with matching question types
✔️How to identify synonym language
@Azamat_Sayxuniy
🔤🔤🔤🔤🔤🔤🔤3️⃣
Insect-inspired Robots
This passage alone appeared in two of my students exams. Do it before it's too late.
Answers will be checked immediately
@Azamat_Nurmatov
🔤🔤🔤🔤🔤🔤🔤2️⃣
The Return of a Black-footed ferret
Answers will be checked immediately
@Azamat_Nurmatov
❤11🔥3🍾1🏆1🐳1
Showing the 12 most recent of 40 posts we hold for @Azamat_Nurmatov. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 2 registered channels — 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 Podcasts @EnglishPodcastsOfficial · 27,544 Telegram ranks this channel #18 of 85 here — alongside 84 others — read 10 September 2026
MULTILEVEL ZONE @Multilevel_zone · 185,925 Telegram ranks this channel #28 of 62 here — alongside 61 others — read 25 August 2026
LINK @aslanovs_library · 16 Telegram ranks this channel #32 of 82 here — alongside 81 others — read 14 September 2026
IELTS with Ahmed Hassan @IeltswithAhmed · 22,266 Telegram ranks this channel #49 of 85 here — alongside 84 others — read 21 September 2026
IELTS Journal @ieltsjournalchannel · 51,180 Telegram ranks this channel #50 of 85 here — alongside 84 others — read 25 August 2026
ENGLISH PODCAST 🎧 | Английский подкасты 🎧 @listening_english_podcast · 58,735 Telegram ranks this channel #51 of 88 here — alongside 87 others — read 22 August 2026
IELTS BANK @ieltsbank · 22,607 Telegram ranks this channel #52 of 93 here — alongside 92 others — read 20 September 2026
Cambridge Dictionary @cambridge_dic · 48,243 Telegram ranks this channel #74 of 79 here — alongside 78 others — read 26 August 2026
This channel appears in 8 seed channels' Telegram-generated recommendation lists 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.
“Azamat's IELTS & Multilevel” (@Azamat_Nurmatov), 6,440 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/Azamat_Nurmatov.
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.