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 11 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
14 measurements spanning 44 days, net +97. 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 8,576–8,703 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 18:37
8,688
+7
14 Sept 2026, 14:18
8,681
+15
11 Sept 2026, 10:20
8,666
+6
6 Sept 2026, 12:00
8,660
+9
2 Sept 2026, 01:42
8,651
+5
30 Aug 2026, 01:46
8,646
+3
26 Aug 2026, 18:26
8,643
+3
19 Aug 2026, 22:21
8,640
+6
16 Aug 2026, 18:28
8,634
+11
13 Aug 2026, 02:34
8,623
+12
9 Aug 2026, 19:41
8,611
+17
6 Aug 2026, 23:24
8,594
+3
6 Aug 2026, 03:01
8,591
no change
5 Aug 2026, 23:17
8,591
first reading
Engagement
16 posts held, back to 14 June 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 26 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.27%
avg views ÷ 8,688 subscribers
Avg views / post
545
1 post measured
Reaction rate
0.917%
reactions ÷ views · ER floor
Posts in window
1
of 16 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 26 August 2026
Posts held
16 (14 June 2026 – 26 August 2026)
Views total
545
Reactions total
5
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 16:46 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
80 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 31.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
25
31.3%
👏
24
30.0%
👎
15
18.8%
🤬
9
11.3%
👌
4
5.00%
💯
2
2.50%
🤔
1
1.25%
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 11 of the 16 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 80 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 14 June 2026 to 26 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.
با درود خدمت همکاران گرامی؛
بعد از مدتی وقفه، با توجه به درخواست و استقبال شما و نیاز مبرم به آشنایی با موضوعات عملی و رویه قضایی راجع به پروندههای مبتلابه، به زودی دورههای آموزش کاربردی تشکل وصا را ادامه میدهیم.
با احترام
احمدرضا اسعدی نژاد
https://t.me/vasa_karbordi
آغاز دوره جدید کلاسهای آمادگی اختبار تشکل وصا؛
مباحث کاربردی حقوق تجارت
دکتر احمدرضا اسعدی نژاد
از ۱۸ مرداد ۱۴۰۵
یکشنبهها
به مدت ۲۰ ساعت
لینک عضویت در گروه وصا:
https://chat.whatsapp.com/EaF5gwkABQbB9tfQIfRyyd?s=sh&p=i&ilr=4&amv=2
کسانی که عضو گروه اختبار پاییز وصا هستند نیازی به ثبتنام مجدد ندارند.
لینک کلاس:
https://skyroom.online/ch/asadinejad/vasa1405
دوره جدید کلاسهای آمادگی اختبار تشکل وصا
شروع از ۱۸ مرداد ۱۴۰۵
بیش از ۱۲۰ ساعت کلاس جدید و کاربردی
لینک کلاس:
https://skyroom.online/ch/asadinejad/vasa1405
لینک عضویت در گروه وصا:
https://chat.whatsapp.com/EaF5gwkABQbB9tfQIfRyyd?s=sh&p=i&ilr=4&amv=2
@vasa_tashakol
سخنگوی سازمان ثبت اسناد و املاک کشور گفت: اسناد مالکیت حد نگار زردنگ به زودی از حیث نحوه انجام معاملات مشمول قانون الزام به ثبت رسمی شده و تنظیم سند عادی اعم از قولنامه ، مبایعه نامه ، صلح نامه و ... نسبت به آنها امکانپذیر نخواهد بود.
https://www.instagram.com/p/DbRabxPo1ND/?igsh=OTlocDFmaWxydTQ0
@rahahoquqi
مقررات انتظامی مندرج در آییننامه سال ۱۴۰۰، به دلیل سختگیری بیش از حد و عدم انطباق با مقتضیات زمانی و واقعیات اجتماعی، نیازمند بازنگری و اصلاح است. لذا ضروری است در کنار تلاش برای اصلاح این مقررات، در مقام اجرا، قواعد مذکور به صورت مضیق تفسیر گردند.
صرف تولید محتوا در فضای مجازی با شان وکالت مغایرتی ندارد و در شرایط نابسامان کنونی، در حالی که اشخاص غیروکیل و مؤسسات غیرمجاز آزادانه فعالیت میکنند، محدود کردن این عرصه…
تشکل وصا برگزار میکند؛
دوره آمادگی اختبار کانون وکلا
دکتر عبدالله سمامی؛ نایبرییس پیشین کانون وکلای دادگستری مرکز: مقررات وکالت
دکتر احمدرضا اسعدی نژاد؛ عضو هیات مدیره کانون وکلای دادگستری مرکز: حقوق تجارت و حقوق مدنی
دکتر حسن کیا؛ وکیل دادگستری و مولف کتب حقوقی: آیین دادرسی مدنی
استاد امین بیات؛ مدرس و وکیل دادگستری: حقوق مدنی
دکتر داود خاکسار؛ وکیل دادگستری و مدرس دانشگاه: آیین دادرسی کیفری
استاد مجید صادقی جعفر…
۱۰ توصیه برای آزمون اختبار کانون وکلا؛
احمدرضا اسعدی نژاد
در خصوص آزمون اختبار توجه به چند نکته حائز اهمیت است:
۱- در فرصت اندک تا آزمون اختبار، اصولا فرصت مبسوطی برای مطالعه کتب مرجع وجود ندارد. مگر اینکه سابقا این منابع را مطالعه کرده باشید و مرور آنها وقت چندانی از شما نگیرد یا تندخوان باشید. این منابع در مواردی نظیر قواعد عمومی قراردادها که دانش و خلاقیت شما را در پاسخگویی تقویت کند، پیشنهاد میشود. در هر صور…
تشکیل گروه اختبار پاییز ۴۰۵؛
با درود و احترام
با توجه به نزدیکی زمان آزمون اختبار گروه اول ۱۴۰۳ کانون وکلای دادگستری مرکز، گروه آمادگی «اختبار پاییز ۴۰۵» وصا برای آشنایی با آزمون اختبار، شرکت در دوره آمادگی اختبار، مطالعه منابع و پاسخگویی به سوالات دوستان تشکیل شده است.
لطفا لینک گروه را برای کسانی که اختبار دارند ارسال نمایید.
https://chat.whatsapp.com/JTuLzNmpS329GymVUISMc3?s=cl&p=i&mlu=2&amv=2
با سپاس
احمدرضا ا…
دکتر عیسی امینی رییس پیشین کانون وکلای دادگستری مرکز یادداشتی راجع به، قرارداد وکالت و امنیت مالی وکیل دادگستری منتشر کرد.
https://www.instagram.com/p/DaLb2ivCI8x/?igsh=NnptcWdwd3Y0cnh3
@rahahoquqi
👌1
Showing the 12 most recent of 16 posts we hold for @rahahoquqi. 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 8 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.
Appears in Telegram’s recommendations for other channels
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.
گروه تخصصی کاربردی وکالت/دادگستریار(ویژه وکلا،کارآموزان) @karaamoz · 21,994 Telegram ranks this channel #3 of 76 here — alongside 75 others — read 22 September 2026
اطلاعات حقوقى و قضايى @hoghooghivaghazaie · 48,783 Telegram ranks this channel #7 of 75 here — alongside 74 others — read 26 August 2026
حقوقی تایمز @hoghooghitimes · 45,491 Telegram ranks this channel #8 of 83 here — alongside 82 others — read 27 August 2026
🔵 وکلاپرس @vokalapress · 28,554 Telegram ranks this channel #14 of 84 here — alongside 83 others — read 9 September 2026
وکلای هوشمند/دکتر حکیمی @vakil_ai · 21,705 Telegram ranks this channel #24 of 78 here — alongside 77 others — read 22 September 2026
دوره های کاربردی🎀زری وباران☔️ ۱۴۰۲ @carbordi_karamooz · 39,759 Telegram ranks this channel #32 of 71 here — alongside 70 others — read 30 August 2026
کانال جامع آزمون وکالت 1405 @hoqoq99 · 35,623 Telegram ranks this channel #42 of 77 here — alongside 76 others — read 2 September 2026
آیین دادرسی مدنی دکتر سیدجعفری @drseyedjafari · 54,840 Telegram ranks this channel #42 of 86 here — alongside 85 others — read 23 August 2026
کانال تست رابین هود @testerobinhood · 83,498 Telegram ranks this channel #52 of 77 here — alongside 76 others — read 1 September 2026
✳️ پایگاه خبری اختبار @ekhtebar · 107,363 Telegram ranks this channel #63 of 83 here — alongside 82 others — read 16 August 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“رحا (رسانه حقوقی ایران)” (@rahahoquqi), 8,688 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/rahahoquqi.
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.