تبریک به حسام عزیزم بابت قبولی در دانشگاه تهران❤️ ارشد و دکتری دانشگاه تهران خوندن با این رتبه های درخشان ترکیب جذابیه، امیدوارم در ادامه مسیر هم بدرخشی😘 📚 https://t.me/TTeflgramm 📚
❤38🎉4🔥4
Signed Mohammad Najafi

Channel
@TTeflgramm
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,317subscribers
+70 since we began measuring on 20 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001151698048 |
|---|---|
| Type | Channel |
| Username | @TTeflgramm |
| Created | Between 1 December 2018 and 31 August 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 20 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/TTeflgramm |
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 95% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 20:01 | 3,317 | +10 |
| 12 Sept 2026, 13:18 | 3,307 | -4 |
| 8 Sept 2026, 12:16 | 3,311 | +11 |
| 3 Sept 2026, 07:49 | 3,300 | +28 |
| 31 Aug 2026, 03:44 | 3,272 | +13 |
| 27 Aug 2026, 22:53 | 3,259 | +1 |
| 24 Aug 2026, 13:08 | 3,258 | +10 |
| 20 Aug 2026, 17:13 | 3,248 | +1 |
| 20 Aug 2026, 08:15 | 3,247 | first reading |
20 posts held, back to 14 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.
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 18 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
450 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 70.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 318 | 70.7% | |
| 🔥 | 67 | 14.9% | |
| 😍 | 17 | 3.78% | |
| 👍 | 16 | 3.56% | |
| 🙏 | 15 | 3.33% | |
| ❤🔥 | 9 | 2.00% | |
| 🎉 | 4 | 0.889% | |
| 👏 | 4 | 0.889% |
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 450 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 14 July 2026 to 18 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.
تبریک به حسام عزیزم بابت قبولی در دانشگاه تهران❤️ ارشد و دکتری دانشگاه تهران خوندن با این رتبه های درخشان ترکیب جذابیه، امیدوارم در ادامه مسیر هم بدرخشی😘 📚 https://t.me/TTeflgramm 📚
❤38🎉4🔥4
Signed Mohammad Najafi
🎙این قسمت کوتاه از پادکست متدلوژی رو گوش بفرمایید 📚 https://t.me/TTeflgramm 📚
❤16
Signed Mohammad Najafi
🔻برنامه کنکور ارشد و دکتری ١۴٠۶ کارشناسی ارشد بازهی ثبتنام: ۱۶ تا ٢٢ آذر ماه ١۴٠۵ زمان برگزاری: ١۶ و ١٧ اردیبهشت ١۴٠۶ دکتری بازهی ثبتنام: ٣ تا ٩ آبان ماه ١۴٠۵ زمان برگزاری: ١۶ بهمن ١۴٠۵ 📚 https://t.me/TTeflgramm 📚
❤6👍1
Signed Mohammad Najafi
سلام وقت بخیر به ظرفیت دوره مشاوره اضافه شد. در صورت نیاز به آیدی خودم پیام بدید: @mohammaddnajafii 📚 https://t.me/TTeflgramm 📚
❤2
Signed Mohammad Najafi
سلام و عرض ادب خدمت دوستان گرامی؛ فصل نهم کتاب Ary را به دلیل اهمیت آن در این پادکست روایت کردم. از آنجا که بسیاری از دوستان از مهرماه دانشجوی مقطع کارشناسی ارشد میشوند، ممکن است این اپیزود برایشان مفید باشد. همچنین، معمولاً از مباحث این فصل یک سؤال در آزمونهای آموزشوپرورش و دکتری مطرح میشود. درنهایت سعی کردم مثالهایی از رشته خودمون بزنم تا فهم مفاهیم بهتر باشه. 📚 موضوعاتی که در این اپیزود به آنها پرداختهام:…
❤29👍1👏1
Signed Mohammad-Hesam Rabiei
⚡️ دوره پادکست آزمون سازی⚡️ 📌 برای ضبط قسمت های این پادکست از تمامی منابعی که مطالعه کردم به دقت استفاده شد. 📌 با توجه به ماهیت این دوره که به صورت پادکست هست و سرعت شنیدن قسمت ها میتونه بیشتر بشه، این دوره علاوه بر اینکه برای یادگیری آزمون سازی مناسب هست میتونه برای جمع بندی استفاده بشه. 📌 طول دوره: 17 ساعت و 54 دقیقه و 22 ثانیه 📌 سرفصل های پادکست آزمون سازی: 1⃣ Preliminaries of Language Testing | 1:10:02 2⃣ T…
❤9🔥3
Signed Mohammad Najafi
اطلاعات پادکست متدلوژی 📝 تعداد قسمت ها: 21 🔍 طول دوره: 8 ساعت و 55 دقیقه 🔗 متدها و اپروچ ها در کتاب اول، دوم، و هشتم کامل کار شده. رفرنس های دیگه فقط در توضیحات بعضی متدها و اپروچ ها مورد استفاده قرار گرفتن. 👤 مدرس: محمد نجفی | رتبه یک کنکور ارشد 1401، رتبه دو کنکور دکتری 1404 💰 هزینه دوره: 700 هزار تومان @mohammaddnajafii 📚 https://t.me/TTeflgramm 📚
❤🔥9🔥2❤1
Signed Mohammad Najafi
سلام و احترام؛ در دومین سری از ویدیوهای آموزشی، دربارهی این صحبت کردم که چطور معلمهای زبان، حتی بدون اینکه برنامهنویسی بلد باشند، میتونند با کمک هوش مصنوعی برنامهها و ابزارهای کاربردی خودشون رو بسازند. برای نمونه، من یک دیکشنری طراحی کردم که کلمات انگلیسی را در جملهها و موقعیتهای خندهدار و بامزه یاد میده. اگه دوست داشتید، از طریق لینک زیر (با فیلترشکن) وارد دیکشنری شید و امتحانش کنید. خوشحال میشم خودتون …
❤19🔥10👍2👏1😍1
Signed Mohammad-Hesam Rabiei
دوشنبه ها ساعت 4 تا 6 جمعه ها ساعت 6 تا 8 📚 https://t.me/TTeflgramm 📚
❤6
Signed Mohammad Najafi
🔅 دوره جامع آزمون سازی ویژه داوطلبان کنکور کارشناسی ارشد 🔅 👤 مدرسین دوره: محمدحسام ربیعی | رتبه دو کنکور کارشناسی ارشد ۱۴۰۱، رتبه یک کنکور دکتری ۱۴۰۵ محمد نجفی | رتبه یک کنکور کارشناسی ارشد ۱۴۰۱، رتبه دو کنکور دکتری ۱۴۰۴ ⏱ زمان برگزاری: روزهای دوشنبه و جمعه ✅ برای کسب اطلاعات بیشتر به آیدی زیر پیام دهید: @mohammaddnajafii 📚 https://t.me/TTeflgramm 📚
🔥9❤7
Signed Mohammad Najafi
سلام و احترام؛ در این ویدیو آموزشی توضیح دادم که چگونه میتونید از لحاظ بصری فایلهای جذابتری رو برای زبانآموزان آماده کنید. پرامپتی که استفاده کردم: I've attached a Word document with vocabulary/idioms and example sentences from my class. Please turn it into a visually engaging, memorable study document: Add a relevant emoji or icon next to each word/phrase to act as a visual memory anchor Keep the original de…
❤22🙏4🔥2
Signed Mohammad-Hesam Rabiei
پادکست آزمون سازی رو از همه پادکست هایی که درست کردم بیشتر دوست دارم. این قسمت نسبتا کوتاه رو گوش بدید 📚 https://t.me/TTeflgramm 📚
❤13👍6👏1
Signed Mohammad Najafi
Showing the 12 most recent of 20 posts we hold for @TTeflgramm. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“Teflgram” (@TTeflgramm), 3,317 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/TTeflgramm.
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.