گوشهای از کلاس خصوصی IELTS 🗣️ فیدبک روی مکالمهی شاگرد عزیزم، اصلاح جملهها و انتخاب دقیقتر واژگان و عبارتها. #کلاس_ها

Channel
آکادمی زبان و نگارش آکادمیک دکتر رحمن زاد
@drrahmanza_english_academy
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
185subscribers
+2 since we began measuring on 9 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003949004308 |
|---|---|
| Type | Channel |
| Username | @drrahmanza_english_academy |
| Created | Between 1 April 2026 and 30 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 September 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 September 2026 |
| On Telegram | t.me/drrahmanza_english_academy |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Sept 2026, 16:36 | 185 | +2 |
| 9 Sept 2026, 18:22 | 183 | no change |
| 9 Sept 2026, 17:47 | 183 | first reading |
Engagement
20 posts held, back to 30 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 15.4%
- avg views ÷ 185 subscribers
- Avg views / post
- 28.6
- 7 posts measured
- Reaction rate
- 6.98%
- reactions ÷ views · ER floor
- Posts in window
- 7
- 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. It is computed over the 3 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 20 (30 July 2026 – 9 September 2026) |
| Views total | 200 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 18:22 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.
What this channel posts
- Video runtime
- 6s
- Average length
- 6s
Measured directly from 1 video 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
18 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 77.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 77.8% | |
| 👍 | 2 | 11.1% | |
| 🔥 | 2 | 11.1% |
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 14 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 18 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 30 July 2026 to 9 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.
Recent posts
فرق Rise، Raise و Increase چیه؟ این سه کلمه مخصوصاً در IELTS Writing و متنهای دانشگاهی زیاد استفاده میشن، اما ساختارشون یکی نیست. 🔹 شماره ۱: Rise یعنی «افزایش پیدا کردن» و بعدش مفعول نمیاد. ✅ The number of students rose significantly. تعداد دانشجویان بهطور قابلتوجهی افزایش پیدا کرد ❌ The university rose the number of students. 🔹 شماره ۲: Raise یعنی «چیزی را افزایش دادن»؛ پس به مفعول نیاز داره. ✅ The universi…
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📘 فایل رایگان | از پیدا کردن مقاله تا فهم آن با کمک AI توی این فایل کوتاه، قدمبهقدم دربارهی این سه مرحله صحبت کردم: 🔹 پیدا کردن منابع و طراحی عبارت جستجو 🔹 ارزیابی اولیه و انتخاب منابع مرتبطتر 🔹 فهم بهتر ساختار و محتوای مقاله چند پرامپت کاربردی که میتونید مستقیماً برای کار پژوهشی خودتون استفاده کنید. ✍🏻 _____ ارتباط با ما👇🏻 🆔: @dracademy_support [کانال تلگرام] [پیج اینستاگرام] برای مطالب بیشتر: #نگارش_…
❓سوال: Paraphrasing یعنی فقط عوض کردن چند کلمه؟ نه! یکی از اشتباههای رایج در مقالهنویسی اینه که جملهی منبع رو برداریم و فقط چند کلمهش رو با مترادف جایگزین کنیم. مثلاً: Original: Physical activity is associated with a lower risk of cardiovascular disease. بازنویسی ضعیف: ❌ Physical exercise is related to a reduced risk of heart disease. اینجا بیشترِ ساختار جمله هنوز همون ساختار اولیهست و فقط چند واژه عوض شده. در…
📄 سوال: Academic CV باید حتماً یک یا دو صفحه باشه؟ نه لزوماً! ❌ یکی از اشتباههای رایج اینه که قوانین Resume رو برای Academic CV هم به کار ببریم. 🔹 متن Resume معمولاً کوتاه و هدفمندتره و اغلب در ۱–۲ صفحه نوشته میشه. 🔹 اما Academic CV قراره سابقه علمی و دانشگاهی شما رو کاملتر نشون بده؛ مثل: • تحصیلات • سوابق پژوهشی و تدریس • مقالات و ارائههای علمی • افتخارات و جوایز • فعالیتهای دانشگاهی و حرفهای بنابراین برای…
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⚠️ Despite یا Although این دو تا رو قاطی نکن! هر دو برای بیان تضاد استفاده میشن، اما ساختارشون یکی نیست 👇🏻 ✅ Although + subject + verb Although it was raining, we went out. با اینکه بارون میاومد، بیرون رفتیم. اما: ✅ Despite + noun / V + ing Despite the rain, we went out. با وجود باران، بیرون رفتیم. Despite being tired, she continued working. با وجود خسته بودن، به کار ادامه داد. 🚨 اشتباه رایج: ❌ Despite of t…
❤2🔥1
✍🏻 گاهی فقط یک کلمه میتونه ادعای مقالهت رو عوض کنه! این دو جمله رو ببینید: ✅ X was associated with Y. ترجمه: بین X و Y ارتباط مشاهده شد. ❌ X caused Y. ترجمه: X باعث Y شد. این دو جمله فقط از نظر یک کلمه متفاوت نیستن؛ سطح ادعای علمیشون کاملاً فرق میکنه. اگر مطالعه و تحلیل شما فقط وجود یک ارتباط بین دو متغیر رو نشون میده، نمیتونید صرفاً بر اساس همین نتیجه بنویسید که یکی باعث دیگری شده. 📌 در Academic Writing،…
📩 ۳ جملهای که بهتره توی ایمیل به استاد حرفهایتر بنویسیم گاهی جمله از نظر گرامری غلط نیست، اما برای یک Academic Email لحن مناسبی نداره. مثلاً 👇🏻 ❌ I want to ask about the position. ✅ I am writing to inquire about the position. عبارت دوم برای یک ایمیل رسمی، حرفهایتره. ❌ Send me more information, please. ✅ Could you please provide me with more information? در مکاتبات دانشگاهی، نوع درخواست کردن هم مهمه. ❌ I’m wa…
👍2
📚 چند ظرفیت جدید برای کلاسهای خصوصی باز شده. در طول دوره، علاوه بر جلسات، برنامه مطالعه متناسب با هدفتون و منتورینگ آموزشی هم دارید تا دقیقتر بدونید بین کلاسها روی چه چیزهایی کار کنید. 📩 برای اطلاعات بیشتر و بررسی سطح: @dracademy_support #لیست_دوره_ها
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📚 یک قاب از کلاس هام … یکی از دانشجوهام برای بخش زبان کنکور کارشناسی ارشد پیشم میاد و این روزها داریم متناسب با سطحش و زمانی که تا آزمون باقی مونده، مسیرش رو جلو میبریم. از واژگان و گرامر گرفته تا کار روی Reading و متنهای کنکور؛ اینکه چطور متن رو بخونه، نکات مهمش رو پیدا کنه و با تمرین درست، مهارتش رو برای پاسخ دادن به سؤالهای آزمون تقویت کنه. ✨ #کلاس_ها #پیام_های_شما
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🎬 گرامر از دل فیلم | Prefer A to B توی این دیالوگ میشنویم: “Yet still we feel you prefer your silly rose to our lavish ballet.” یعنی: «با این حال، احساس میکنیم گل رز سادهات رو به بالهی باشکوه ما ترجیح میدی.» اینجا از یکی از ساختارهای خیلی کاربردی prefer استفاده شده 👇🏻 ✅ prefer A to B یعنی: A رو به B ترجیح دادن مثلاً: ☕ I prefer coffee to tea. من قهوه رو به چای ترجیح میدم. 📚 I prefer studying at home to st…
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✍🏻 ۳ کلمهای که میتونن نوشته آکادمیکت رو ضعیفتر کنن در نگارش آکادمیک، فقط درست بودن گرامر مهم نیست؛ انتخاب دقیق واژهها هم روی کیفیت متن تأثیر زیادی داره. مثلاً این کلمات در زبان روزمره کاملاً رایجان، اما در متن علمی گاهی بیش از حد کلی و مبهم هستن 👇🏻 🔸 a lot of ❌ A lot of studies have investigated this issue. ✅ Many studies have investigated this issue. 🔸 things ❌ Several things can affect the results. ✅ Several …
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Showing the 12 most recent of 20 posts we hold for @drrahmanza_english_academy. 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.
Mentions
Named by 1 registered channel — 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 11 September 2026 — this entry's latest reading, not the date you are reading this.
“آکادمی زبان و نگارش آکادمیک دکتر رحمن زاد” (@drrahmanza_english_academy), 185 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/drrahmanza_english_academy.
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.