4 measurements spanning 6 days, net +4. 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 1,514–1,520 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 05:03
1,519
+2
9 Aug 2026, 06:44
1,517
+2
6 Aug 2026, 07:35
1,515
no change
6 Aug 2026, 01:52
1,515
first reading
Engagement
20 posts held, back to 3 August 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 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
8.40%
avg views ÷ 1,519 subscribers
Avg views / post
128
20 posts measured
Reaction rate
5.72%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 3 August 2026
Posts held
20 (3 August 2026 – 3 August 2026)
Views total
2,552
Reactions total
146
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:11 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
146 reactions across 20 posts, in 2 distinct kinds. The most used accounts for 66.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
97
66.4%
👍
49
33.6%
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 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 146reactions 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 3 August 2026 to 3 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.
پیام شماره ۸۵۱
دانشجوی دوره درک مطلب شما برای کنکور ارشد. من سطح زبان خوبی دارم اما نکات دوره شما باعث شد تست های Passage نقطه قوت من در باکس زبان باشه و نزدیک به 75 درصد باکس زبان رو گرفتم. میخواستم تشکری کنم ازتون بابت دوره خوبتون و همچنین جلد یک کتاب زیر ذره بین رو هم تهیه کردم و بسیار راضی هستم از تالیف بسیار دقیق و خوب این کتاب در حدی که خوندن این کتاب از خواندن کتاب های سری Oxford word skills که قبلا خونده بود…
با شما به وسیله همسرم که از اساتید دانشگاه یزد هستن، آشنا شدم
جلد یک کتاب شما رو به عنوان هدیه تولد به من دادن و بسیار خوشحالم که با شما آشنا شدم .
#کتاب
امروز آزمون msrt بود بخش گرامر رو خیلی خوب پاسخ دادم واقعا تدریس و کتاب های شما بی نظیر هست . اما برای بخش شنیداری و درک مطلب خیلی تاسف خوردم که چرا لغت بلد نیستم . برای اینکه بتونم درک مطلب هم خوب بزنم چکار کنم ؟ با تشکر
همه سر جلسه از کتاب های خوب شما می گفتن و اکثرا برای مطالعه از کتاب های زیر ذره بین استفاده کرده بودن
#ویدئو #MSRT #کتاب
استاد ویدیو های آموزش گرامرتون واقعا حرف نداره
اول آموزش شمارو نگاه میکنم
بعدش برای مرور جلد ۲ رو میخونم
این هفته تست صفت تموم شد
خیلی لذت بخشه
دیگه فقط دید کنکوری ندارم هدفم اینه زبانم رو ارتقا بدم
#ویدئو #برنامه
با این کتاب عالیشون و این برنامه های هفتگی که میزاشتن من تونستم تقریبا ۶۴ درصد بزنم و اینکه من پارسال قبل خواندن کتاب جلد یک دکتر اصلا هیچکدوم سوالات رو نمیتونستم جواب بدم
خیلی خیلی ممنون
انشاالله دکتر و خانوادشون سلامت و عاقبت به خیر باشند .
#کتاب #برنامه
یعنی استاد دم شما گرم با این جملاتی که برای بخش واژگان پایه انتخاب یا تالیف کردین. اولین کارم موقع رفتن سراغ اسپیکینگ حفظ کردن اینا بعنوان جملات معمول ولی فاخر در دیالوگهاست. چقده قشنگ! چقده گرامریلی خفن و قابل استفاده برای ریکاوری گرامر!
#کتاب #زبان_برای_زندگی
استاد طبق برسی که کردیم از ارشد زبان انگلیسی این دو سال، ترکیب کتاب شما و GRE میترکونن برا این رشته (کارشناسی زبان)!
نظر لطف استاد کنکور کارشناسی رشته زبان
#کارشناسی
زبان بین ۴۴ الی ۴۶ درصد پاسخ دادم ناراحتماا باید ۶۰ درصد میزدم ولی بازم میگم شکر خدا فقط ده سال اخر جلد زیر ذره بین مهندس رو خوندم واژگان که نرسیدم مرور کنم ولی واقعا این کتاب واژگان عالیه یعنی کسی دوبار بخونه محاله نتونه تمام واژگان رو پاسخ بده متاسفانه من وقت نداشتم اما این کتابو خیلی دوست دارم اگر فیلمش رو بفرستم گمونم مهندس تعجب میکنه چرا اینقدر خط خطی اش کردم
#کتاب #ارشد
من حدود ده سال پیش کتاب شما رو با روش تیک ایت اصلاح شده خوندم، ارشد علم و صنعت قبول شدم
بالاترین درصدم زبان بودش
الان هم بعد از مهاجرت هنوز هم پایه خوب زبان رو از اون موقع دارم. مخصوصا در زمینه لغات آکادمیک
هنوز که هنوزه تست های جدید ارشد و دکترا رو به صورت تفریحی میزنم و غالبا درست جواب میدم
همیشه ممنون و قدردان شما و زحماتتون هستم🌺
#مهاجرت #کتاب #ارشد
بابت کتاب های ارزشمندتون ممنونم.
من هر سه جلد تهیه کردم .خیلی راضی بودم . با اینکه سطح زبانم متوسط بود ولی با این کتاب ها لول اپ شدنم مشخص بود.
حس میکنم از گپ های بخش واژگان و گرامرم پر کرد و در نتیجه تو کنکور خودشو خوب نشون داد فقط یک دونه غلط زدم اونم هنوز نمیدونم چرا گزینه ی من درست نبوده 🤔.
#کتاب #ارشد
منم امتحانم رو دادم . کتاب و مطالب عالی بود ..
البته من واقعا برنامه بعدی ام. آیلتس هست و با همین کتاب شما و کتاب دکتری تون میخام ادامه بدم
#ارشد #کتاب
خواستم یک تشکر و خداقوت خدمتتون عرض کنم با این کتابی که نوشتید
بسیار کامل هستش و یک منبع فوقالعاده برای مرور هست.
من داشتم از منابع مختلف مرور میکردم که خب هر کتاب ناقصی داشت.
من سطح زبان خودم CAE2 هستش و خب دنبال یک منبع برای مرور و کسب آمادگی بودم که جلد یک و جلد سوم( تست واژگان ) تهیه کردم و در مدت یک ماه ۱۱۵ درس جلد یک و تمام تست های جلد سوم زدم و الان هم که پاسخ سوالات که در کانال قرار دادید تمام ۱۰ سوال زبان…
❤5👍3
Showing the 12 most recent of 20 posts we hold for @GeneralEnglishFeedback. 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.
Citation-graph rank
Citation-graph rank — 193,365 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“بازخورد مخاطبین زبان زیر ذرهبین” (@GeneralEnglishFeedback), 1,519 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/GeneralEnglishFeedback.
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.