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 11 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
33 measurements spanning 42 days, net -120. 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 11,261–11,418 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 07:21
11,279
-3
15 Sept 2026, 10:17
11,282
-2
13 Sept 2026, 20:58
11,284
-11
12 Sept 2026, 02:00
11,295
-7
9 Sept 2026, 17:38
11,302
-2
6 Sept 2026, 08:16
11,304
-8
4 Sept 2026, 01:55
11,312
+4
2 Sept 2026, 14:49
11,308
-3
1 Sept 2026, 17:12
11,311
-3
31 Aug 2026, 19:25
11,314
-4
29 Aug 2026, 22:24
11,318
-8
28 Aug 2026, 19:02
11,326
-3
27 Aug 2026, 19:45
11,329
-8
25 Aug 2026, 16:27
11,337
-8
24 Aug 2026, 18:25
11,345
-2
23 Aug 2026, 03:24
11,347
-9
21 Aug 2026, 12:23
11,356
-5
20 Aug 2026, 09:58
11,361
-3
19 Aug 2026, 11:45
11,364
-1
18 Aug 2026, 13:52
11,365
first reading
Engagement
73 posts held, back to 28 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.01%
avg views ÷ 11,279 subscribers
Avg views / post
227
14 posts measured
Reaction rate
0.676%
reactions ÷ views · ER floor
Posts in window
14
of 73 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. It is computed over the 12 of 14 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 31 August 2026
Posts held
73 (28 July 2026 – 31 August 2026)
Views total
3,180
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:35 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.
What this channel posts
Video runtime
48m 20s
Average length
3m 13s
Measured directly from 15 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.
Reaction mix
70 reactions across 41 posts, in 5 distinct kinds. The most used accounts for 54.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
38
54.3%
❤
26
37.1%
👏
3
4.29%
🔥
2
2.86%
😁
1
1.43%
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 44 of the 73 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 78 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 73 most recent posts we hold, published 28 July 2026 to 31 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.
🧚♂🔤🧚♀
@Englishagency
💢اصطلاحات کاربردی
🔶Shame on you خجالت بکش
🔶What a mess! چه افتضاحی
🔶Knock on wood بزنم به تخته
🔶I'm single handed دست تنهام
🔶Never say die به دلت بد نیار
🔶Stop nagging نق نزن
🔶Eat your word حرفتو پس بگیر
🔶Tit for tat این به اون در
🔶Stick to your job بچسب به کارت
@Englishagency
💢Idioms
🔸It's crazy here
🔸اینجا خر تو خر
🔸He is a nerd
🔸خرخونه
🔸He is filthy rich
🔸خر پوله
🔸Any idiot knows
🔸هر خری میدونه
🔸I fooled her
🔸منم خرش کردم
🔸She has hands in high places
🔸خیلی خرش میره
🔸He is out of the wood
🔸خرش از پل گذشت
🔸I got overjoyed
🔸خر کیف شدم
🧚♂🔤🧚♀
@Englishagency
🧚♂🔤🧚♀
@Englishagrncy
💢 یکی از کاربرد کلمه "raise"
👈وقتی افراد می خواهند بگویند در کجا بزرگ شدند از این کلمه استفاده می کنند. کلمه "raise" با یکی از کلمات "was یا were" استفاده می شود و با هم به معنی "بزرگ شدن" هستند در این کاربرد به انتهای کلمه raise حرف d اضافه می شود = raised.
🔸I was raised in a small city.
🔸من در یک شهر کوچک بزرگ شدم.
🔸I was born in Japan but was raised in New York
🔸من در ژاپن به دنیا آمدم و…
🧚♂🔤🧚♀
@Englishagency
💢Point
⭕️ میخواین بگین مثلا با فلانی مدارا کن چه جوری بگیم به انگلیسی؟؟؟
✴️ go easy on someone
👉Def: to treat someone in a gentle way esp when you want to be or should be more severe
📒well, try to go easy on her.she was probably pretty crazed.
@Englishagency
🧚♂🔤🧚♀
@Englishagency
💢مکالمات کوتاه
🧑A: You're very lucky.
👨🦰 B: Why do you say that?
🧑 A: You speak two languages.
👨🦰B: Well, my English isn't perfect.
🧑A: No one speaks perfect English.
👨🦰B: Maybe I will be the first!
🧑A: I've been thinking about learning Spanish.
👨🦰 B: Spanish is easy. I'll be happy to teach you.
🧑A: How long will it take me to learn?
👨🦰B: I think it will only take you a year or two
🧑 A: …
🧚♂🔤🧚♀
@Englishagency
💢Vocabulary
⭕️The difference between "Cloth & Clothes"
👈لغت "cloth" اشاره دارد به مواردی
مثل پشم و کتان که برای درست کردن لباس، پرده، مبل از اون ها استفاده می شود. دیکشنری آکسفورد معنای این واژه رو اینطوری بیان میکند
👉Definition of cloth in English:
noun (plural cloths /klɒθz/ /klɒðz/)
Woven or felted fabric made from wool, cotton, or etc.
‼️این لغت همچنین به معنای دستمال رو میزی هم هست.
🧑…
🧚♂🔤🧚♀
@Englishagency
💢اصطلاحات عامیانه و کاربردی:
🔸I have company مهمون دارم
🔸I 'm offended بهم برخورد
🔸Mark my wods به حرفم میرسی
🔸You don't say نه بابا !!!!
🔸Cross my heart به جون خودم
🔸I 'm afraid so بله متاسفانه
🔸Take it or leave it میخوای بخواه، نمیخوای نخواه
🔸If you say so گولم زدی
🔸Take that back حرفت رو پس بگیر
🔸Choke on it کوفتت بشه
🔸Avert your eyes چشماتو درویش کن
🔸Serves you right حقت بود
🔸You 're full…
❤3
Showing the 12 most recent of 73 posts we hold for @Englishagency. 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 4 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.
Vocab.coding @vocabcoding_insta · 76,451 Telegram ranks this channel #15 of 77 here — alongside 76 others — read 19 August 2026
Let's learn English آموزش زبان انگلیسی @english1388 · 65,865 Telegram ranks this channel #32 of 86 here — alongside 85 others — read 21 August 2026
Learning english fast @Englishgrammar606 · 50,487 Telegram ranks this channel #40 of 93 here — alongside 92 others — read 25 August 2026
گروه مهندسی 2800 @Eng2800 · 61,700 Telegram ranks this channel #78 of 83 here — alongside 82 others — read 22 August 2026
This channel appears in 4 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.
“English Agency” (@Englishagency), 11,279 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Englishagency.
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.