4 measurements spanning 6 days, net -6. 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 2,436–2,445 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 15:14
2,438
+1
9 Aug 2026, 18:41
2,437
-7
6 Aug 2026, 05:36
2,444
no change
6 Aug 2026, 04:19
2,444
first reading
Engagement
21 posts held, back to 5 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
34.9%
avg views ÷ 2,438 subscribers
Avg views / post
851
4 posts measured
Reaction rate
0.5%
reactions ÷ views · ER floor
Posts in window
4
of 21 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 6 August 2026
Posts held
21 (5 June 2026 – 6 August 2026)
Views total
3,403
Reactions total
17
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:30 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.
What this channel posts
Video runtime
52s
Average length
52s
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
87 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 88.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
77
88.5%
👍
3
3.45%
😢
3
3.45%
💯
2
2.30%
🔥
1
1.15%
🤩
1
1.15%
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 19 of the 21 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 90reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 5 June 2026 to 6 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.
💬 اعطای ردا کارت به دانشجویان کارشناسی ارشد از مهر 1405
🔴 سازمان امور دانشجویان از اجرای آزمایشی «ردا کارت» برای دانشجویان تحصیلات تکمیلی 🧑🏻💻 از مهرماه خبر داد؛ کارتی که خدمات رفاهی، تغذیه، خرید، حملونقل و تسهیلات مالی را بهصورت یکپارچه ارائه میده
https://t.me/MasterofLawStudies
https://t.me/MasterofLawStudies
https://t.me/MasterofLawStudies
💬 افزونه های کاربردی برای مرورگر که باهاشون میتونی وارد سایت هایی مثل Gemini و Notebooklm و ai studio google و Claude و chatgpt بشی 👀
🔵 ممکنه یکی از این موارد روی اینترنت یا مرورگری که استفاده میکنی جواب نده و یکی دیگه جواب بده اما هر کدوم که برای کار کرد امکان باز کردن این سایت ها رو داره:
▪️Veepn
https://chromewebstore.google.com/detail/free-vpn-for-chrome-vpn-p/majdfhpaihoncoakbjgbdhglocklcgno
▪️Vpnly
https://…
💬 انتشار کلید سؤالات کنکور کارشناسی ارشد 1405
🔵 پاسخنامه کلیدی سوالات کنکور کارشناسی ارشد سراسری و آزاد ۱۴۰۵ از سوی سازمان سنجش آموزش کشور منتشر شد ✅️
🔵 مشاهده کلید سوالات:
🌐https://www8.sanjesh.org/noet_tk/
https://t.me/MasterofLawStudies
https://t.me/MasterofLawStudies
https://t.me/MasterofLawStudies
💬 نتیجه یک پژوهش پراستناد: هوش مصنوعی را دقیقاً کجای پژوهش به کار ببریم؟
🟢 به کار گرفتن هوش مصنوعی برای انجام کارهای زمانبر و تکراری پژوهش اما بررسی منابع، تحلیل علمی و نتیجهگیری نهایی بهش محول نکنین
🟢 این نتیجه مقالهایه که در سال 2024 با عنوان «استفاده از هوش مصنوعی در نگارش دانشگاهی و پژوهش» منتشر شده و بیش از 1000 ارجاع بهش داده شده 👀
🟢 پژوهشگران ابتدا 270 منبع شناسایی کردن و پس از غربالگری، 24 مطالعه بررسی …
💬 سالی توام با جان های عزیز از دست رفته، سایه منحوس و ادامه دار جنگ 🖤 و رشته اراده و امیدی که با همه تلخی های ایام قطع نشد... با آرزوی سلامتی و کسب بهترین نتیجه✌🏻 برای همه رفقای پر تلاشی که با وجود سختیهای ناتمام کم نزاشتن و قراره سر جلسه آزمون کارشناسی ارشد 1405 حاضر بشن💙🤝🏻
https://t.me/MasterofLawStudies
https://t.me/MasterofLawStudies
https://t.me/MasterofLawStudies
🔴 رفقای آزمون ارشد 1405 دریافت کارت ورود به جلسه آزمون اصلا برای دقیقه 90 نزارید و کارتتون همین امروز بگیرید
https://t.me/MasterofLawStudies
https://t.me/MasterofLawStudies
https://t.me/MasterofLawStudies
💬 سازمان سنجش با تأکید نسبت به ضرورت بررسی و اصلاح معدل درجشده در کارت شرکت در آزمون کارشناسی ارشد 1405📚
💬 اعلام کرد که هرگونه مغایرت بین معدل ثبتشده و معدل واقعی، حتی در حد چند صدم نمره، میتونه به لغو قبولی نهایی داوطلب منجر بشه
💬 طبق اعلام سازمان سنجش، فارغالتحصیلانی که قبل از شروع ثبتنام آزمون، مدرک کارشناسی شون دریافت کردن، باید معدل ثبتشده در کارت ورود به جلسه با معدل مندرج در مدرک کارشناسی شون کاملاً یک…
💬 جمعبندی حقوق مدنی در هفتههای پایانی کنکور کارشناسی ارشد ⏳️
🟣 در دوران جمعبندی، حقوق مدنی 📔 لازمه هدفمند مرور بشه ؛ نه با مطالعه خطی کل کتاب یا شروع مباحث جدید
🟣 اولویت اصلی در این مرحله با مباحث عقود و قراردادهاست؛ یعنی حقوق مدنی 3، 6 و 7.
🟣 برای جمعبندی این درس:
🔹️ ابتدا تستهای اشتباه و شکدار قبلی را مرور کنین ♻️ چون دقیقترین نشانههای ضعف و فراموشی همین تستها هستن👌🏻
🔹️ مطالب، مواد و نکاتی را بخونین ک…
💬 جمعبندی متون حقوقی در هفتههای پایانی کنکور کارشناسی ارشد 📚
🔴 یکی از اشتباهات رایج دوران جمعبندی اینه که داوطلب تصور میکنه 🤔 برای بهبود عملکرد در درس متون حقوقی باید حجم زیادی از لغات یا متون جدید مطالعه کنه 👀
🔴 درحالی که هدف اصلی این دوره، افزایش سرعت بازیابی و استفاده از دانشی هست که در ماههای گذشته کسب شده
🔴 از نظر یادگیری، مهارت پاسخگویی ✍️🏻 به سوالات متون حقوقی بیشتر از اینکه به حفظ تعداد زیادی واژه وا…
💬 معرفی کتاب 📕
🔵 این کتاب، پژوهشی جامع درباره پدیده «دادگاه هوشمند» ارائه میده؛ پارادایم نوینی در اجرای عدالت که در اون ظرفیتهای فناوریهای دیجیتال، از جمله هوش مصنوعی، اتوماسیون، بلاکچین، کلانداده و تحلیلهای الگوریتمی ، با نهادهای سنتی قضایی درهم میآمیزه
🔵 نویسنده صرفاً به شرح توانمندیهای فنی بسنده نمیکنه، بلکه بررسی میکنه که فناوری چطور بر ساختار اجتماعی عدالت، استانداردهای ادله، فرایند تصمیمگیری قضات و …
❤4
Showing the 12 most recent of 21 posts we hold for @MasterofLawStudies. 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 — 1,410,341 of 1,480,688entries 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 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“⚖️ مطالعات کارشناسی ارشد حقوق” (@MasterofLawStudies), 2,438 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/MasterofLawStudies.
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.