🔴 مبالغ نجومی شهریه متغیر دروس در ترم مهر ۱۴۰۵ دانشگاه آزاد اسلامی ـ علیبرکت الله....... ⚖ رسانه دانشجویی و حقوقی | دانشکده حقوق و علوم قضایی آزاد تبریز 🌐@law_uniazad کانال 🌐@iautlaw کانال روبیکا 🔗@lawiaut_chat گروه
😡13💔6❤2
Signed 𝑨𝒎𝒊𝒓

Channel
@law_uniazad
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,120subscribers
+63 since we began measuring on 29 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002128786980 |
|---|---|
| Type | Channel |
| Username | @law_uniazad |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 29 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/law_uniazad |
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 15 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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 |
|---|---|---|
| 15 Sept 2026, 12:38 | 3,120 | +32 |
| 11 Sept 2026, 15:56 | 3,088 | +8 |
| 7 Sept 2026, 07:56 | 3,080 | +9 |
| 2 Sept 2026, 11:24 | 3,071 | +13 |
| 30 Aug 2026, 03:35 | 3,058 | +1 |
| 29 Aug 2026, 05:30 | 3,057 | no change |
| 29 Aug 2026, 05:15 | 3,057 | first reading |
18 posts held, back to 23 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 1 page of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 18 (23 August 2026 – 28 August 2026) |
| Views total | 8,573 |
| Reactions total | 100 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 05:30 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.
104 reactions across 12 posts, in 5 distinct kinds. The most used accounts for 40.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 42 | 40.4% | |
| 💔 | 24 | 23.1% | |
| ❤ | 18 | 17.3% | |
| 😡 | 13 | 12.5% | |
| 👎 | 7 | 6.73% |
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 12 of the 18 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 104 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 23 August 2026 to 28 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.
🔴 مبالغ نجومی شهریه متغیر دروس در ترم مهر ۱۴۰۵ دانشگاه آزاد اسلامی ـ علیبرکت الله....... ⚖ رسانه دانشجویی و حقوقی | دانشکده حقوق و علوم قضایی آزاد تبریز 🌐@law_uniazad کانال 🌐@iautlaw کانال روبیکا 🔗@lawiaut_chat گروه
😡13💔6❤2
Signed 𝑨𝒎𝒊𝒓
این تصاویر مربوط به مراسم دانشجویان دکتری حقوق دانشگاه هاروارده چیزی که اساتید ما زمین تا آسمون باهاش فرق دارن! بسیار اساتیدی داشتیم که بیشتر تر از سواد به پوشش و رفتار شاگرداشون اهمیت دادن از پوشیدن کت و شلوار و رنگ بندی مناسب لباس بگیر تا گفتن اقا/خانم دکتر بجای استاد! همینم میشد بهونه ای برای کلی عکس پروفایل با کت و شلوار اما با نمره ۹.۵ تو درس مدنی ۳ ! 🔺 دانشجوهایی که در این تصاویر می بینید میشه گفت نخبه ترین …
👍40❤6👎6
Signed 𝑨𝒎𝒊𝒓
🔴#اطلاعیه تشکیل کلاسها کلاس جبرانی ترم تابستان مدنی8 (رشته حقوق) استاد صابر تابان روز دوسنبه 06/09 از ساعت 9 صبح در کلاس 208 جعفری برگزار خواهد شد. ⚖ رسانه دانشجویی و حقوقی | دانشکده حقوق و علوم قضایی آزاد تبریز 🌐@law_uniazad کانال 🌐@iautlaw کانال روبیکا 🔗@lawiaut_chat گروه
Signed Mostafa
🔴#اطلاعیه تشکیل کلاسها کلاس جبرانی ترم تابستان آیین دادرسی مدنی استاد نیما بهروان روزهای دوشنبه 06/09 و سهشنبه 06/10 از ساعت 14 تا 18 کلاس 208 جعفری برگزار خواهد شد. ⚖ رسانه دانشجویی و حقوقی | دانشکده حقوق و علوم قضایی آزاد تبریز 🌐@law_uniazad کانال 🌐@iautlaw کانال روبیکا 🔗@lawiaut_chat گروه
👎1
Signed Mostafa
✅ #لینک_گروه 📌 گروه حقوق مدنی ۵ استاد عابدزاده در پیام رسان بله ble.ir/join/41RQDyZL4M ⚖ رسانه دانشجویی و حقوقی | دانشکده حقوق و علوم قضایی آزاد تبریز 🌐@law_uniazad کانال 🌐@iautlaw کانال روبیکا 🔗@lawiaut_chat گروه
❤1
Signed Saeedeh
✅ #لینک_گروه 📌 گروه حقوق مدنی ۶ استاد عزیزی | دوشنبه هفته فرد ۱۳:۳۰ علوم قضایی https://t.me/+22f9kPUk3U83YzQ0 📌گروه جزای عمومی2 استاد شری زاده |جمعه ۹ الی ۱۱ https://t.me/+pfgP3ZC3PddjNmVk 📌 گروه مدنی ۴ استاد عزیزی کلیه تایمها https://t.me/+Yzll3-zsaT0yOGVk 📌گروه مدنی ۳ استاد بابازاده |شنبه ۱۵:۳۰ https://t.me/+P27ADyFMf6YzZDE0 ⚖ رسانه دانشجویی و حقوقی | دانشکده حقوق و علوم قضایی آزاد تبریز 🌐@law_uniazad کانال 🌐@iau…
❤2
Signed Saeedeh
✅ #لینک_گروه 📌گروه مدنی3 استاد صمد عزیزی | کلیه تایمها (حقوق و علوم قضایی) https://t.me/+1D_eFldfttU4Nzc0 📌گروه حقوق اساسی2 استاد ساسان محسنی | تایم دوشنبه ساعت 15:30 https://t.me/ostad_sasanmohseni_asasi2 ⚖ رسانه دانشجویی و حقوقی | دانشکده حقوق و علوم قضایی آزاد تبریز 🌐@law_uniazad کانال 🌐@iautlaw کانال روبیکا 🔗@lawiaut_chat گروه
❤2
Signed Mostafa
✅ #لینک_گروه 📌 گروه جزای اختصاصی ۱ استاد پویا آذری |علوم قضایی https://t.me/+gA7qg8960UgyODg0 📌 گروه زبان ترکیبی ۳ استاد شاطرزاده| چهارشنبه کلیه تایم https://rubika.ir/joing/BBFCJABJF0TFELCBXRUYNQOMMFMJKVLR 📌 گروه متون فقه ۵ استاد لطیف| سه شنبه تایم ۱۳:۳۰ الی ۱۵ https://rubika.ir/joing/BBFDCDGCG0OKYVQJRDMFSJOIGNFAUWGA 📌 گروه حقوق جزای اختصاصی ۱ استاد جدیدی| دوشنبه تایم ۹:۱۵ الی ۱۲:۳۰ https://t.me/+sp1z9dFzXwpjYWE0 📌…
❤1
Signed Saeedeh
▫️ دلار از ۲۰۲ هزارتومان گذشت! ـ خریدن یک لپ تاپ برای نوشتن مقاله ، خریدن کتاب تست برای کنکور ، خریدن ساندویچی سرد برای ناهار ، خریدن قرصی مسکن برای درد دندانی که پول ترمیمش فراهم نیست و هزاران حق بر خرید دیگر ، حالا از یک هدف در حال تبدیل شدن به رویاست. ـ الإيمان يخرج من باب البيت الذي يدخله الفقر « امیر المومنین » ⚖ رسانه دانشجویی و حقوقی | دانشکده حقوق و علوم قضایی آزاد تبریز 🌐@law_uniazad کانال 🌐@iautlaw کانال…
💔18👍2
Signed 𝑨𝒎𝒊𝒓
⚠️اگر نتونستید از سایت اصلی و سابق آموزشیار وارد بشین یا هنگام انتخاب واحد سیستم مشکل داشت؛ میتونید همراه سایت stdn.iau.ir از سایت جدید آموزشیار نیز استفاده کنید: stdn2.iau.ir ⚖ رسانه دانشجویی و حقوقی | دانشکده حقوق و علوم قضایی آزاد تبریز 🌐@law_uniazad کانال 🌐@iautlaw کانال روبیکا 🔗@lawiaut_chat گروه
Signed Mostafa
☑️ اگر سوالی درمورد اساتید ، زمان بندی و نحوه انتخاب واحد دارید در گروه دانشکده حقوق و علوم قضایی مطرح کنید: https://t.me/lawiaut_chat
❤1
Signed 𝑨𝒎𝒊𝒓
🔴 #لینک_آموزشیار ▫️نسخه قدیم سامانه آموزشیار https://stdn.iau.ir/Student ▫️نسخه جدید سامانه آموزشیار http://stdn2.iau.ir/Student ▫️نسخه مشاهده لیست دروس ارائه شده آموزشیار http://eserv.iau.ir/EServices ⚖ رسانه دانشجویی و حقوقی | دانشکده حقوق و علوم قضایی آزاد تبریز 🌐@law_uniazad کانال 🌐@iautlaw کانال روبیکا 🔗@lawiaut_chat گروه
Signed 𝑨𝒎𝒊𝒓
Showing the 12 most recent of 18 posts we hold for @law_uniazad. 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.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“دانشکده حقوق و علوم قضایی” (@law_uniazad), 3,120 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/law_uniazad.
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.