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 14 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 40 days, net -234. 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 3,856–4,160 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 06:01
3,891
-10
13 Sept 2026, 01:19
3,901
-25
9 Sept 2026, 07:35
3,926
-21
4 Sept 2026, 01:42
3,947
-6
31 Aug 2026, 21:24
3,953
-11
28 Aug 2026, 17:35
3,964
-7
25 Aug 2026, 13:57
3,971
-15
22 Aug 2026, 06:48
3,986
-25
18 Aug 2026, 12:17
4,011
-27
15 Aug 2026, 15:37
4,038
-53
12 Aug 2026, 01:52
4,091
-34
8 Aug 2026, 17:44
4,125
no change
8 Aug 2026, 04:15
4,125
first reading
Engagement
20 posts held, back to 13 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 2 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 20 posts for this entry, the most recent from 27 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 50s
Average length
1m 17s
Measured directly from 3 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
114 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 45.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
52
45.6%
👍
47
41.2%
🔥
14
12.3%
🥰
1
0.877%
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 20 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 114 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 13 July 2026 to 27 July 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.
درس سیزدهم - بخش چهارم
بررسی I'm lovin' it
دیالوگهای چندتا از کلیپهای مهم رو بررسی میکنیم.
💬 دیالوگ کلیپ اول:
▪️I would get that so regularly. It exactly right a little cheeseburger. And the egg is the most natural thing. That's honestly so good. I'm loving it.
من باشم مدام اینو میگیرم (این ساندویچ رو میگیرم). عین یه چیزبرگر کوچولو میمونه. و تخممرغ طبیعیترین بخش قضیهست. حقیقتا خیلی خوبه. من که عاشقش شدم (خ…
درس سیزدهم - بخش سوم
بررسی I'm lovin' it
🤓 صرفا خواستم حس یه فرد Native رو از گفتن این جور جملهها بفهمید. البته با این ترکیبها بعدا بیشتر کار داریم و مثلا بررسی میکنیم چرا یه فرد نیتیو پا روی قواعد استاندارد گرامری میذاره و مثلا میگه:
⚫️I'm gonna be needing sth
‼️ اینکه از Need استفاده کنه یا Needing تفاوتی تو معنی و مفهوم کلی جمله نداره، چیزی که مهمه اون حسی هست که یه فرد با گفتنش، میخواد منتقل کنه.
👍 حالا …
درس سیزدهم - بخش دوم
بررسی I'm lovin' it
🔘موضوع از این قراره که تو انگلیسی یه سری افعال داریم به اسم State Verbs یا همون افعال حالتی که تعدادشون هم زیاد نیست. افعالی مثل:
➡️Like, Love, Hate, Need, Know,...
یعنی افعالی که یه حالتی رو نشون میدن. گرامر استاندارد میگه از این افعال نمیشه به شکل استمراری یا همون فرم ing استفاده کرد.
✅ شما تو حالت عادی اگه از چیزی خیلی خوشتون بیاد میگید:
▪️I love it
❗️ولی تو انگلیسی رو…
درس سیزدهم - بخش اول
بررسی I'm lovin' it
سلام به همگی 🙂
🍟 شعار کمپین تبلیغاتی مجموعه رستورانهای McDonald's که تو تبلیغات حاشیه زمین بازیهای جام جهانی با عنوان I'm Loving it خیلی خودنمایی میکرد، بهونهای شد تا به موضوعی بپردازیم که قراره یه پیش زمینه هم برای درسای بعدیمون باشن.
‼️ جمله I'm Loving it با وجود اینکه تو انگلیسی استاندارد از نظر گرامری اشتباهه، اما تو انگلیسی واقعی امریکایی بسیار پرکاربرد هست.
™️ …
درس دوازدهم - بخش ششم
سری اول بررسی کلمه Get/Got
💬 و در نهایت میرسیم به مثالهای این درس. همه مثالها رو یه دور بخونید.
Ex 1. I got coffee all over my desk.
قهوه رو همهجای میزم ریختم.
Ex 2. The kids got chocolate on the new sofa.
بچهها شکلات رو مالیدن روی مبل نو.
Ex 3. Don't get mud on my carpet!
گل و لای رو نمال به فرشم! (بپا فرشم گلی نشه)
Ex 4. Don’t get paint on the floor.
رنگو نریزی روی زمین. ( زمینو ر…
درس دوازدهم - بخش پنجم
سری اول بررسی کلمه Get/Got
🤓 قبل از اینکه بریم سراغ مثالها، لازم دیدم چندتا نکته خیلی مهم رو بهتون بگم.
اول اینکه کلمه Get/Got تو این ترکیبی که گفتم، بیشتر مواقع (نه الزاما همیشه) اون حس ناخواسته بودن یا آزاردهنده بودن "مالیدن/پاچیدن/ریختن" رو منتقل میکنه.
💬 برای مثال:
▪️I got coffee all over my clean pants right before the meeting.
درست قبل از جلسه، قهوه ریخت رو کل شلوار تمیزم.
💡میبینی…
درس دوازدهم - بخش چهارم
سری اول بررسی کلمه Get/Got
◀️ حالا یه فلشبک بزنیم به درس هشتم، جایی که داشتیم این جمله رو بررسی میکردیم:
▪️You got some ketchup on your nose!
یکم کچاپ رو دماغته!
📄 اونجا بهتون یه نکتهای گفتم، اینکه شما میتونید تو این موقعیت از Have هم بجای Got استفاده کنید ولی یه نیتیو ترجیحا بیشتر مواقع از Got استفاده میکنه چون Got (و Get) نسبت به Have فعل پویاتریه (Dynamic - داینامیک).
💬 اگه بگیم:
…
درس دوازدهم - بخش سوم
سری اول بررسی کلمه Get/Got
✅ اما نکته اصلی کلیپمون وقتیه که تو ادامه دیالوگ بالا، برادر بزرگه سر میرسه:
Sean: Don't ever touch my brother. You hear me?
Brett: He got his fake blood shit all over my shirt.
شان: دیگه هیچوقت دستت به برادرم نخوره. شنیدی چی گفتم؟
برت: این (برادرت) اون خون فیک مسخرهاش رو سرتاپای پیرهنم پاچید.
‼️ اینجا کلمه Get یا Got به معنی چیزی روی کسی "ریختن/پاچیدن/مالیدن…
درس دوازدهم - بخش دوم
سری اول بررسی کلمه Get/Got
👻 خب داستان کلیپ بالا از این قراره که برادر کوچیکتره یعنی Daniel تو روز جشن هالووین، خون فیک (مصنوعی) رو لباس پسر همسایهشون یعنی Brett میپاچه. Brett هم شاکی میشه و با Daniel دست به یقه میشه که همون لحظه برادر بزرگتر Daniel یعنی Sean سر میرسه.
💬 دیالوگ:
Brett: Look at my shirt, asshole!
Daniel: What's the big deal? It's Halloween.
برت: ببین پیرهنمو (چیکار کردی)، …
Showing the 12 most recent of 20 posts we hold for @PJsEnglish. 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.
گروه رژيم درمانی بهاره غفاری @ghafaridietchanel · 29,008 Telegram ranks this channel #43 of 60 here — alongside 59 others — read 8 September 2026
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.
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.
“انگلیسی با پیژامه! آموزش انگلیسی امریکایی” (@PJsEnglish), 3,891 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/PJsEnglish.
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.