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 16 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
14 measurements spanning 41 days, net +112. 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 1,795–1,941 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 08:40
1,924
+4
12 Sept 2026, 18:01
1,920
+3
8 Sept 2026, 21:36
1,917
+5
5 Sept 2026, 16:22
1,912
no change
3 Sept 2026, 18:38
1,912
+7
31 Aug 2026, 02:47
1,905
+12
28 Aug 2026, 04:16
1,893
+35
25 Aug 2026, 05:06
1,858
+11
22 Aug 2026, 12:04
1,847
+5
18 Aug 2026, 21:45
1,842
+12
15 Aug 2026, 12:24
1,830
+9
12 Aug 2026, 04:47
1,821
-3
9 Aug 2026, 15:15
1,824
+12
6 Aug 2026, 16:13
1,812
first reading
Engagement
12 posts held, back to 1 September 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.4%
avg views ÷ 1,924 subscribers
Avg views / post
238
10 posts measured
Reaction rate
1.87%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 8 of 10 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 5 September 2026
Posts held
12 (1 September 2026 – 5 September 2026)
Views total
2,383
Reactions total
35
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Sept 2026, 16:22 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
35 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 62.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
22
62.9%
🔥
10
28.6%
🙏
2
5.71%
👏
1
2.86%
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 8 of the 12 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 35 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 1 September 2026 to 5 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.
سلام و احترام خدمت دوستان گرامی؛
خیلی خوشحالم که نسخهی بهروزشدهی برنامهی اندرویدی Logophile رو در اختیار اساتید و معلمهای زحمتکش زبان، دانشجویان سختکوش رشتهی زبان و زبانآموزان عزیز قرار میدهم.
برخی از ویژگیهای برنامه:
🔸 تمامی لغات GRE در این برنامه وجود داره.
🔸 امکان اضافه کردن لغات جدید رو دارید. ویژگی خاص این برنامه این هست که میتونید برای هر لغت، هر تعریفی که میخواهید بنویسید، مترادفهای جدید اضا…
*📢 The 22nd International TELLsi Conference*
The 22nd International TELLsi Conference, themed “Exploring New Horizons in English Language Education: Bridging Conventionality and Modernity,” will be held on *November 18–19, 2026 / Aban 27–28, 1405*
*🔹 Conference Fields:*
• English Language Teaching (ELT) & Testing/Assessment
• English Literature, Culture & Interdisciplinary Studies
• Translation & Interpreting Studi…
📚 کتاب زبان آموزشگاهی با قیمت سال قبل!
با توجه به اینکه قیمت کتابها حسابی رفته بالا 💸
من کتابها رو با قیمت سال پیش میدم که یه کم هوای همدیگه رو داشته باشیم ❤️
اگه برای کلاس زبان دنبال کتابی و نمیخوای هزینهی زیادی بابتش بدی، این فرصت رو از دست نده 🌹
سری کتاب های touchstone, speak now , viewpoint.
کتاب ها کاملا نو ، وکیوم شده همراه با سیدی ، صفحه گلاسه و کیفیت اورجینال 🖐
📖 قیمت مناسبتر از بازار
✨ کتابهای آ…
کتب تخصصی و عمومی زبان/ کنکور ارشد و دکتری زبان pinned «✨ عزیزانم لوگوی کانال بعد از مدتها تغییر کرد😊 جهت اطلاع عزیزانی که کانال رو از روی لوگو و پروفایل اون رصد می کنند ❤️»
سلام و احترام خدمت دوستان گرامی؛
واقعاً ممنونم از استقبال زیاد شما از نسخهی اول برنامهی اندرویدی Logophile. بعد از عرضهی این برنامهی فلشکارت برای یادگیری لغات، مدام با خودم فکر میکردم که چطور میشه باز هم این برنامه را بهتر و کاربردیتر کرد.
خیلی خوشحالم که اعلام کنم بروزرسانی نسخهی ۱.۱ هماکنون در دسترس است. 🎉
ویژگیهای نسخهی ۱.۱:
🔸 اضافه شدن تلفظ کلمات
حتی کلماتی که خودتان به برنامه اضافه میکنید.
🔸 ام…
🌱
🎓 فرصت ویژه برای علاقهمندان به تحصیلات تکمیلی در رشته «مترجمی زبان انگلیسی»
بسیار خوشحالم به اطلاع برسانم که دانشگاه دریانوردی و علوم دریایی چابهار، برای سال تحصیلی جدید در مقطع کارشناسی ارشد رشته «مترجمی زبان انگلیسی» دانشجو میپذیرد.
در این دوره، ترجمه دیگر صرفاً یک مفهوم تئوریک نیست؛ بلکه برنامه ما آمیزهای بینظیر از «آموزش، عمل و پژوهش» است. ما با عبور از چارچوبهای سنتی، شما را برای ورود قدرتمند به حوزهها…
دورۀ «درستنویسی»
شامل ۳۴ درس پویا، همراه با مثال و تمرین و بهروزرسانی
✨ موقتاً رایگان، تا ۱۵ شهریور
چه دانشجو باشی، چه استاد، چه کارمند، چه مدیر، چه نویسنده، چه تولیدکنندۀ محتوا، اگر به فارسی مینویسی، باید بلد باشی تمیز و شیوا و مطابق اصول و قواعد بنویسی.
این دوره الان ۳۴ گامِ پویا دارد، در ۵ فصل:
۱. مقدمات: آشنایی، چرا درستنویسی
۲. فاصلهگذاری: فاصله و نیمفاصله، می، ها، به، بی، این و آن، هر، همین و همان، چه، …
🌱
اصلاحیه دفترچه انتخاب رشته کنکور کارشناسی ارشد 1405
📣 انتخاب رشته تا پنج شنبه 12 شهریور تمدید شد
📣📣 نکته مهم اینکه به تعداد ظرفیت های ارشد مترجمی ۸ ظرفیت افزوده شد
دانشگاه دريانوردي و علوم دريايی چابهار 8 دانشجوی ارشد ترجمه روزانه میپذیرد.
لطفا کانال ما را به دوستان و هم رشته ای های خود معرفی بفرمایید 🌱
---------------------------------------
کانال کتب تخصصی و عمومی زبان، معرفی مشاغل زبانی، منابع کن…
🌱
#نکات کنکوری
#مطالعه موثر
بزن بریم سراغ مرحله هفتم
✍️ مرحله هفتم: Rewrite (بازنویسی و خلاصهنویسی)
🤨خیلی از داوطلبین کنکور موقع خلاصهنویسی یه اشتباه بزرگ انجام میدن...
📖 کتاب رو باز میکنن و تقریباً نصف متن رو دوباره داخل دفتر مینویسن!
این کار بیشتر شبیه رونویسیه تا خلاصهنویسی.
🎯هدف از مرحله Rewrite این نیست که دوباره کتاب رو بنویسی؛ هدف اینه که مطلب رو با زبان خودت ساده و کوتاه کنی.
🔹
هرچقدر خلاصهتر و…
🔥3❤1
Signed Najmeh Golestani
Showing the 12 most recent of 12 posts we hold for @englishbooks1401. 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.
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.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“کتب تخصصی و عمومی زبان/ کنکور ارشد و دکتری زبان” (@englishbooks1401), 1,924 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/englishbooks1401.
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.