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 the other topics.
Growth
55 measurements spanning 87 days, net +898. 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 20,348–21,516 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)
Subscribers
Change
31 Oct 2026, 23:51
21,381
+6
30 Oct 2026, 21:48
21,375
+3
29 Oct 2026, 20:49
21,372
-3
28 Oct 2026, 17:55
21,375
+4
27 Oct 2026, 15:57
21,371
+4
26 Oct 2026, 13:05
21,367
+12
25 Oct 2026, 14:08
21,355
+10
24 Oct 2026, 11:14
21,345
+11
23 Oct 2026, 13:30
21,334
+4
22 Oct 2026, 12:35
21,330
+4
21 Oct 2026, 09:36
21,326
-2
19 Oct 2026, 11:25
21,328
+3
18 Oct 2026, 14:20
21,325
+3
17 Oct 2026, 14:20
21,322
+8
16 Oct 2026, 17:49
21,314
+11
15 Oct 2026, 18:29
21,303
+5
14 Oct 2026, 14:55
21,298
+28
13 Oct 2026, 02:00
21,270
+49
8 Oct 2026, 19:01
21,221
+47
4 Oct 2026, 07:56
21,174
first reading
Engagement
52 posts held, back to 4 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.41%
avg views ÷ 21,381 subscribers
Avg views / post
1,370
3 posts measured
Reaction rate
0.462%
reactions ÷ views · ER floor
Posts in window
3
of 52 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 4 October 2026
Posts held
52 (4 July 2026 – 4 October 2026)
Views total
4,110
Reactions total
19
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Oct 2026, 18:05 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
438 reactions across 52 posts, in 8 distinct kinds. The most used accounts for 69.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
305
69.6%
👍
94
21.5%
👏
14
3.20%
💯
7
1.60%
😍
6
1.37%
👌
5
1.14%
🙏
4
0.913%
🔥
3
0.685%
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 52 of the 52 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 438 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 52 most recent posts we hold, published 4 July 2026 to 4 October 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.
🎧 آموزش Skillful 3rd Listening & Speaking – Level 2
اگر میخواهید Listening و Speaking آکادمیک خود را تقویت کنید، این دوره انتخابی عالی است! 📚✨
👨🏫 مدرس: پورموسی
📊 سطح: پیش متوسط تا متوسط (B1)
لهجه: امریکن 🇺🇸
⏱️ مدت دوره: 23 ساعت
👨🎓 مناسب: بزرگسالان
⭐️ ویژگیهای دوره:
• تقویت همزمان Listening و Speaking
• آموزش واژگان و مهارتهای آکادمیک
• تقویت Critical Thinking
• تمرین مهارتهای یکپارچه
• محتوای علمی با استان…
🎓 آموزش ویدیویی زبان کرهای | Vitamin Korean Level 1 – Part 2 🇰🇷
👩🏫 مدرس: نازنین کتیرائی
اگر تازه میخواهید زبان کرهای را شروع کنید، کتاب های ویتامین کره ای دوره انتخابی مناسب برای یادگیری الفبا، واژگان، گرامر و مهارتهای پایه ارتباطی است.
📚 بر اساس کتاب معتبر Vitamin Korean 1
🎯 سطح: مبتدی / بزرگسالان
⏱️ مدت دوره: 3 ساعت
🏆 پوشش مباحث TOPIK 1 و سوالات مشابه آزمون
در این بخش با موضوعاتی مثل:
🔹 حروف بیصدا و صدادار…
📘 آموزش ویدیویی سری کامل Key Words for Fluency
🎓 مدرس: آزاده تولایی
🇺🇸 لهجه: امریکن
📊 سطح: پیشمتوسط تا بالاتر از متوسط
👥 رده سنی: نوجوانان و بزرگسالان
🎯 موضوع: واژگان، Collocation و مکالمه روان
اگر در مکالمه نمیدانید چه ترکیب کلماتی طبیعیتر است، این دوره برای شماست.
مجموعه Key Words for Fluency از انتشارات Thomson با تمرکز بر Collocation های پرکاربرد به شما کمک میکند روانتر و طبیعیتر انگلیسی صحبت کنید.
📥 مشا…
📘 آموزش ویدیویی Key Words for Fluency–Upper Intermediate|نیمه دوم
🎓 مدرس: آزاده تولایی
لهجه: امریکن 🇺🇸
📊 سطح: Upper-Intermediate | B2
👥 گروه سنی: نوجوانان و بزرگسالان
⏱️ مدت آموزش: 26 ساعت
🎯 موضوع: تقویت واژگان، کالوکیشنها و مکالمه روان
اگر در مکالمه میدانید چه کلمهای میخواهید بگویید اما نمیدانید چه ترکیبی طبیعیتر است، این دوره برای شماست.
مجموعه Key Words for Fluency از انتشارات Thomson با تمرکز بر Colloca…
📘 آموزش ویدیویی Key Words for Fluency–Upper Intermediate|نیمه اول
🎓 مدرس: آزاده تولایی
لهجه: امریکن 🇺🇸
📊 سطح: Upper-Intermediate | B2
👥 گروه سنی: نوجوانان و بزرگسالان
⏱️ مدت آموزش: ۲۷ ساعت
🎯 موضوع: تقویت واژگان، کالوکیشنها و مکالمه روان
اگر در مکالمه میدانید چه کلمهای میخواهید بگویید اما نمیدانید چه ترکیبی طبیعیتر است، این دوره برای شماست.
مجموعه Key Words for Fluency از انتشارات Thomson با تمرکز بر Colloca…
دانلود مجموعه Communication Progressive du Français 2nd 🇫🇷
📚 یکی از مجموعههای شناختهشده انتشارات CLE International برای تقویت مکالمه و مهارتهای ارتباطی زبان فرانسه از سطح مبتدی تا پیشرفته.
🔹 سطح: A1 تا C2
🔹 رده سنی: نوجوانان بزرگسال و بزرگسالان
🔹 دسته: مکالمه و مهارتهای ارتباطی زبان فرانسه
🔹 مناسب برای: کلاس آموزشی و خودآموزی
در این مجموعه، زبانآموز با موقعیتهای واقعی، مکالمات روزمره، اصطلاحات کاربردی و شیوه…
📚 دانلود مجموعه داستان انگلیسی نوجوانان Teens Story Books Project
داستان بخوانید و همزمان Reading، درک مطلب و دایره واژگان انگلیسی را تقویت کنید! 📖✨
🔹 ناشر: Cambridge
🔹 رده سنی: نوجوانان
🔹 سطح: مقدماتی تا متوسط (A1 تا B1)
🔹 تعداد سطوح: ۵ سطح (Project 1 تا Project 5)
🔹 فرمت: فایل صوتی PDF + MP3 کتاب داستان
مجموعه Teens Story Books از سری Cambridge Discovery Readers شامل داستانهای جذاب و سطحبندیشده برای نوجوانان…
📚 دوره کامل آموزش ویدیویی کتاب های
Skillful Reading & Writing (ویرایش سوم)
🎓 مدرس: استاد پورموسی
📈 مقدماتی تا پیشرفته (A1 تا C1)
🇺🇸 لهجه امریکن
✅ تقویت مهارتهای Reading و Writing آکادمیک
✅ آموزش Skimming، Scanning و درک مطلب
✅ پاراگرافنویسی، خلاصهنویسی و Paraphrasing
✅ توسعه مهارت Critical Thinking
این دوره جدید یکی از منابع معتبر انتشارات Macmillan برای تقویت مهارتهای خواندن و نوشتن زبان انگلیسی است.
🔗 مشا…
📚 آموزش ویدیویی Skillful Reading & Writing Level 4 (ویرایش سوم)
🎓 مدرس: پورموسی
🇺🇸 لهجه: امریکن
📈 سطح: پیشرفته (C1)
👨🎓 ویژه بزرگسالان
⏱️ مدت آموزش: 29 ساعت
✅ تقویت مهارتهای Reading و Writing آکادمیک
✅ آموزش Skimming، Scanning و درک مطلب
✅ پاراگرافنویسی، خلاصهنویسی و Paraphrasing
✅ توسعه مهارت Critical Thinking
✅ همراه با فایل اختصاصی ۱۰۰۰ لغت و کالوکیشن پرکاربرد Scientific American + ترجمه متون
این دوره یکی از…
آموزش ویدیویی مهارت درک مطلب انگلیسی Comprehension Skills– Level 1
👨🏫 مدرس: حسین کریمآبادی
🎯 سطح: مبتدی (Pre-A1)
👥 گروه سنی: همه گروههای سنی در سطح مقدماتی
⏱️ مدت زمان: ۵ ساعت
این دوره بر اساس کتاب Comprehension Skills – Grade 1 تهیه شده و با ۴۰ متن کوتاه و ساده، مهارت Reading و درک مطلب زبانآموزان مبتدی را تقویت میکند. 📚
در طول دوره، علاوه بر واژگان و تلفظ، مهارتهایی مثل تشخیص ایده اصلی و جزئیات، پیشبینی، ا…
🎯 دوره ویدیویی مکالمه آلمانی – سطح پیشرفته
🇩🇪 Sprich mit mir Oberstufe
👩🏫 مدرس: سمانه بانی
🔗 مشاهده و دریافت آموزش:
https://www.irlanguage.com/2153/دوره-ویدیویی-آموزش-مکالمه-زبان-آلمانی-سطح-پیشرفته-Sprich-mit-mir-Oberstufe-مدرس-سمانه-بانی/
اگر میخوای از همون اول راه، مکالمه آلمانی رو درست و کاربردی یاد بگیری اما امکان شرکت در کلاس حضوری نداری، دوره "با من مکالمه کن! – Sprich mit mir" بهترین گزینهست!
📌 ویژگیها…
❤8👍1
Showing the 12 most recent of 52 posts we hold for @irlanguagecom. 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.
Posts edited after publishing
@irlanguagecom edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 October 2026
Most recent edit
9 October 2026
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 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 25 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
آموزش انگلیسی به روش زبان مادری @hamidrezasotoudeh98 · 74,889 Telegram ranks this channel #7 of 89 here — alongside 88 others — read 20 August 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 31 October 2026 — this
entry's latest reading, not the date you are reading this.
“مرجع آموزش زبان ایرانیان” (@irlanguagecom), 21,381 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/irlanguagecom.
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.