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 10 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
32 measurements spanning 41 days, net +106. 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 14,021–14,180 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 12:41
14,162
+12
15 Sept 2026, 09:18
14,150
+8
13 Sept 2026, 21:37
14,142
+2
12 Sept 2026, 05:15
14,140
+27
10 Sept 2026, 00:58
14,113
+25
6 Sept 2026, 14:55
14,088
+27
4 Sept 2026, 07:17
14,061
+4
2 Sept 2026, 19:42
14,057
+5
1 Sept 2026, 17:42
14,052
+2
31 Aug 2026, 16:25
14,050
+3
30 Aug 2026, 17:18
14,047
+4
29 Aug 2026, 15:03
14,043
+4
28 Aug 2026, 14:32
14,039
-1
27 Aug 2026, 18:04
14,040
-6
26 Aug 2026, 17:58
14,046
+4
25 Aug 2026, 17:12
14,042
-8
24 Aug 2026, 14:16
14,050
-18
22 Aug 2026, 20:49
14,068
-15
21 Aug 2026, 09:56
14,083
+4
20 Aug 2026, 12:45
14,079
first reading
Engagement
30 posts held, back to 30 March 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 51 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.9%
avg views ÷ 14,162 subscribers
Avg views / post
1,690
5 posts measured
Reaction rate
0.736%
reactions ÷ views · ER floor
Posts in window
5
of 30 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
30 (30 March 2026 – 2 September 2026)
Views total
8,426
Reactions total
62
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 19:12 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
611 reactions across 27 posts, in 13 distinct kinds. The most used accounts for 69.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
422
69.1%
🐳
56
9.17%
🔥
44
7.20%
✍
30
4.91%
👍
17
2.78%
💘
11
1.80%
🍓
10
1.64%
👏
10
1.64%
💯
4
0.655%
🌚
2
0.327%
💊
2
0.327%
🥰
2
0.327%
🙊
1
0.164%
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 27 of the 30 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 611 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 30 March 2026 to 2 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.
Dreams and ambitions 💭
Rory reveals he's achieved everything he wanted in life and is now more "chilled out." Listen as he and Maria discuss grand designs, dream jobs, and whether being ambitious is really a good thing.
Transcript, vocabulary + free mock test
Most recent premium episodes 👍:
Part 2: Describe and advertisement with a famous person in it
Part 3: Advertising
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Mock Drop 🔔
IELTS Speaking Part 2: Describe an advertisement with a famous person in it.
10 spots available. First come, first served!
Claim here
Happy studying! 🫡
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Music 🎧
Can sad music be therapeutic? Maria and Rory explore everything from pop to niche opera, teaching you key idioms like 'play by ear' and what to say when the fine details escape you on exam day.
Transcript, vocabulary + free mock test
Most recent premium episodes 👍:
Part 2: Describe a story or a book with animals in it
Part 3: Stories with animals
Weekend mock drop 🛎
A mock test based on our most recent IELTS Speaking Part 3 episode: Stories with animals 🦮
Part 3s are tough, so 10 spots this time.
First come, first served. You get a score, a predicted band, and a full report to learn and improve from.
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Hello lovely people! 🙌🏻
Starting today, we’re gonna be doing regular free Speaking mock test drops right here in the channel. They will be pulled straight from our most recent Premium episodes, which aren't normally accessible without a Plus or Pro subscription.
No subscription or account is needed to take the test. If you want to create a free account at the end to save your results, you can, but it’s completely o…
Going to the Cinema 🎞
Is going to the cinema a thing of the past? Rory explains why he prefers watching films at home and shares some high-level vocabulary to describe movies that are a 'complete shambles'!
Transcript, vocabulary + free mock test
Most recent premium episodes 👍:
Part 2: Describe your favourite childhood friend
Part 2: Describe a website or an app you've used to buy or sell second-hand or recycle…
Watching Sports 🤾♀️
Rory absolutely hates watching games, but his answers are still Band 9! Discover how to ace topics you find boring, learn idioms like 'bored to tears', and find out why Maria is talking about cheese rolling.
Transcript, vocabulary + free mock test
Most recent premium episodes 👍:
Part 2: Describe your favourite childhood friend
Part 3: Friendship and social relationships
We noticed that some speaking mocks were failing at the grading step (incredibly frustrating and demotivating, we know. Sorry about that).
We’ve fixed the root cause. And if it ever happens again, it won’t use your monthly mock limit, your answers are saved, and you can tap "Try grading again" without having to suffer through all the questions again.
If you have any ideas or suggestions for the website, please let …
❤16🍓7💊2
Showing the 12 most recent of 30 posts we hold for @successwithielts. 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.
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.
IELTS with Ahmed Hassan @IeltswithAhmed · 22,266 Telegram ranks this channel #7 of 85 here — alongside 84 others — read 21 September 2026
IELTS Prep by LeapScholar @LeapScholar_IELTS_prep · 36,997 Telegram ranks this channel #9 of 67 here — alongside 66 others — read 1 September 2026
FasTrack IELTS @IELTSFasTrack · 86,962 Telegram ranks this channel #30 of 89 here — alongside 88 others — read 17 August 2026
All Ears English Podcast @AllEarsEnglishPodcast · 25,673 Telegram ranks this channel #34 of 84 here — alongside 83 others — read 14 September 2026
IELTS with Elvira Malik @elviranmalik · 52,152 Telegram ranks this channel #35 of 91 here — alongside 90 others — read 24 August 2026
IELTS BANK @ieltsbank · 22,607 Telegram ranks this channel #51 of 93 here — alongside 92 others — read 20 September 2026
آیلتس تهران @IELTS_TEHRAN · 22,205 Telegram ranks this channel #53 of 80 here — alongside 79 others — read 21 September 2026
Spark IELTS Assistant @sparkIELTSspeaking · 33,726 Telegram ranks this channel #68 of 89 here — alongside 88 others — read 4 September 2026
AYKUTHOCAYDS @aykuthocayds · 21,820 Telegram ranks this channel #69 of 69 here — alongside 68 others — read 22 September 2026
IELTS Channel @PARGARIELTS · 25,674 Telegram ranks this channel #78 of 87 here — alongside 86 others — read 14 September 2026
This channel appears in 10 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“IELTS Speaking for Success” (@successwithielts), 14,162 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/successwithielts.
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.