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
32 measurements spanning 42 days, net -179. 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 10,967–11,200 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, 11:58
10,994
-8
15 Sept 2026, 12:36
11,002
-5
13 Sept 2026, 19:37
11,007
+1
12 Sept 2026, 01:59
11,006
-12
9 Sept 2026, 20:39
11,018
-15
6 Sept 2026, 14:57
11,033
-16
4 Sept 2026, 06:40
11,049
-3
2 Sept 2026, 21:45
11,052
-5
1 Sept 2026, 20:04
11,057
-5
31 Aug 2026, 21:48
11,062
-3
30 Aug 2026, 21:35
11,065
-2
29 Aug 2026, 19:33
11,067
-3
28 Aug 2026, 18:38
11,070
-6
27 Aug 2026, 21:23
11,076
-5
27 Aug 2026, 00:54
11,081
-8
25 Aug 2026, 01:27
11,089
-13
23 Aug 2026, 13:47
11,102
-3
22 Aug 2026, 03:26
11,105
-4
20 Aug 2026, 17:57
11,109
-2
19 Aug 2026, 16:18
11,111
first reading
Engagement
26 posts held, back to 23 February 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 41 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.99%
avg views ÷ 10,994 subscribers
Avg views / post
219
1 post measured
Reaction rate
1.37%
reactions ÷ views · ER floor
Posts in window
1
of 26 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 30 August 2026
Posts held
26 (23 February 2026 – 30 August 2026)
Views total
219
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 02:06 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
70 reactions across 21 posts, in 3 distinct kinds. The most used accounts for 57.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
40
57.1%
👍
17
24.3%
🔥
13
18.6%
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 21 of the 26 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 70 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 23 February 2026 to 30 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.
💡He has a good sense of humor
اون حس شوخ طبعى خوبى داره
🐤He has a good sense of smell
اون حس بويايى خوبى داره
❓He has a good sense of taste
اون حس جشايى خوبى داره
🍨He has a good sense of touch
اون حس لامسه خوبى داره
🙂He has a good sense of direction
اون حس جهت يابى خوبى داره
@music_lyrics_tele
@english_wordtime
Getaway Car
No, nothing good starts in a getaway car
هیچ چیز خوبی توی ماشین فرار شروع نمیشه
It was the best of times, the worst of crimes
بهترین زمانها بود با بدترین جنایت ها
I struck a match and blew your mind
کبریتی روشن کردم و ذهنت رو تحت تاثیر قرار دادم
But I didn't mean it
اما منظوری نداشتم
And you didn’t see it
و تو ندیدی (متوجه نشدی)
The ties were black, the lies were white
کراوات ها مشکی بودند و دروغ ها م…
That was the last time you ever saw me
و اون آخرین باری بود که تو منو دیدی
You were drivin' the getaway car
تو ماشین فرار رو میروندی
We were flyin’, but we never get far
ما داشتیم پرواز میکردیم اما اصلا دور نمیشدیم
Don't pretend it's such a mystery
تظاهر نکن که این یه رازه
Think about the place where you first met me
به اولین جایی که منو دیدی فکر کن
Ridin' in a getaway car
توی یه ماشین فرار رانندگی کردن
There w…
[Intro]
Putting my defenses up
دفاعیه هام رو بالا میارم( از خودم دفاع میکنم)
'Cause I don’t wanna fall in love
چون دلم نمیخواد عاشق شم
If I ever did that, I think I’d have a heart attack
اگه تاحالا شده باشم، فکر میکنم یه حمله قلبی داشتم
[Verse 1]
Never put my love out on the line
هرگز عشقمو بیرون روی خط نمیزارم ( یعنی هیچوخت عشقمو در معرض دید نمیزارم که باعث شه از دست بدمش)
Never said "yes" to the right guy
هیچ وقت ب…
برقص برام، برقص برام، برقص برام
I’ve never seen anybody do the things you do before
من تاحالا ندیده بودم کسی کارایی رو که تو میکنی، بکنه
They say
اونا میگن
Move for me, move for me, move for me, ayy-ayy-ayy
تکون بده برام، تکون بده برام، تکون بده برام
And when you’re done, I’ll make you do it all again
و وقتی که تموم میکنی(رقصیدنو)، مجبورت میکنم دوباره همشو تکرار کنی
@music_lyrics_tele
@english_wordtime
متن و ترجمه آهنگ dance monkey
[Verse 1]
They say, “Oh my God, I see the way you shine
اونا میگن، اوه خدای من، میبینم چطوری داری میدرخشی
Take your hands, my dear, and place them both in mine”
دستاتو بیار، عزیزم، و بزار توی دستای من
You know you stopped me dead while I was passing by
میدونی که تو باعث شدی وقتی داشتم رد میشدم خشکم بزنه و متوقف شم
And now I beg to see you dance just one more time
و حالا التماس میکنم تا ی…
متن و ترجمه آهنگ someone you loved
I’m going under and this time, I fear there’s no one to save me
من دارم میمیرم (داغون میشم)، و میترسم کسی نباشه که نجاتم بده
This all or nothing really got a way of driving me crazy
این وضعیت یا همه یا هیچ (نداشتن گزینه دوم) واقعا یه راهی برای دیوونه کردن من داره
I need somebody to heal, somebody to know
من به یکی نیاز دارم خوبم کنه (التیام بدتم)، یکی که بشناسمش
Somebody to have, s…
❤4
Showing the 12 most recent of 26 posts we hold for @english_wordtime. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Learning english fast @Englishgrammar606 · 50,487 Telegram ranks this channel #31 of 93 here — alongside 92 others — read 25 August 2026
Proxy MTProto | Psiphon @psiphonproxy · 49,265 Telegram ranks this channel #50 of 65 here — alongside 64 others — read 25 August 2026
موزیک انگلیسی با ترجمه @behboud_music · 21,911 Telegram ranks this channel #67 of 74 here — alongside 73 others — read 22 September 2026
This channel appears in 3 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.
“آموزش زبان انگلیسی از مبتدی تا پیشرفته” (@english_wordtime), 10,994 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/english_wordtime.
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.