Other / unclassifiable — 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 85% 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.
Growth
12 measurements spanning 36 days, net +218. 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 9,654–9,939 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 05:16
9,906
+34
12 Sept 2026, 02:59
9,872
+67
7 Sept 2026, 20:01
9,805
+66
2 Sept 2026, 14:53
9,739
+40
30 Aug 2026, 15:15
9,699
-1
28 Aug 2026, 01:08
9,700
-10
24 Aug 2026, 23:33
9,710
+8
21 Aug 2026, 03:42
9,702
-10
17 Aug 2026, 23:34
9,712
+17
15 Aug 2026, 00:14
9,695
+8
11 Aug 2026, 16:04
9,687
-1
10 Aug 2026, 21:30
9,688
first reading
Engagement
75 posts held, back to 5 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 23 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.19%
avg views ÷ 9,906 subscribers
Avg views / post
217
23 posts measured
Reaction rate
0.5%
reactions ÷ views · ER floor
Posts in window
23
of 75 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 5 of 23 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 27 August 2026
Posts held
75 (5 August 2026 – 27 August 2026)
Views total
4,996
Reactions total
6
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.
Reaction mix
29 reactions across 15 posts, in 4 distinct kinds. The most used accounts for 44.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
13
44.8%
👍
11
37.9%
👏
4
13.8%
🔥
1
3.45%
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 75 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 29 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 75 most recent posts we hold, published 5 August 2026 to 27 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.
نظام العلم للمملكة العربية السعودية
المادة الرابعة (العَلَم الوطني مرفوعًا مع أعلام الدول الأجنبية):
إذا رُفع العَلَم الوطني في المملكة مع أعلام أجنبية أو رايات أُخرى فيكون له مكان الشرف على التفصيل الآتي:
أ- إذا لم يكُن بجانب العَلَم الوطني إلا عَلَم واحد أو راية واحدة فيُرفع العَلَم الوطني على يمين المبنى أيّ على يسار الشخص الواقف قبالته، وذلك وِفق النموذج المرافق رقم (٣).
ب- إذا كان بجانب العَلَم الوطني أكثر م…
يعالج نظام الإثبات مسألة التحقق من العرف والعادة بين الخصوم بنظرة تنظيمية مرنة؛ توازن بين استقرار التعاملات واستجابة الأحكام للواقع المتغير، فالعرف والعادة بطبيعتهما ليست نصوصًا جامدة، بل يتأثران بالزمان والمكان والأحوال الاقتصادية والاجتماعية.
تمنح المادة (الحادية والتسعون) من نظام الإثبات؛ المحكمة سلطة تقديرية في ندب خبير للتحقق من ثبوت العرف أو العادة متى ما قام النزاع بين أطراف الدعوى، إلا أن هذا الندب ليس إجراء…
🇸🇦 عرض اليوم الوطني 🇸🇦
⚖️ دورة نظام المعاملات المدنية السعودي
🎓 20 ساعة معتمدة | 3 أيام | مسائي | عن بُعد
د. رباب أحمد المعبي
🎁 هدية مجانية: دورة إنجليزية 40 ساعة
بـ299 ريال فقط إجمالي عدد الساعات 60 ساعة تدريبية.
📅 7 سبتمبر 2026
🛒 سجّل الآن من منصة سلة مع إمكانية التقسيط عبر تابي أو تمارا
2u.pw/qenimr
📝 التسجيل في الاستبيان:
https://forms.gle/hUejza7xkyntHw6k9
س٥/ يجب إجراء التفتيش على أعضاء السلك القضائي الخاضعين للتفتيش مرتين على الأقل، وثلاث مرات على الأكثر كل سنة؟
صح56%
خطأ44%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Showing the 12 most recent of 75 posts we hold for @lawzad. 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.
Polls
The 6 most recent of 56 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
س٣/ ما هو الباب الذي تُردّ إليه الأحكام والضوابط الخاصة بندب الخبير في نظام الإثبات؟
الباب الخامس (الشهادة)11%
الباب العاشر (الخبرة)86%
الباب الثالث (اليمين)4%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 75 most recent posts we hold, published 5 August 2026 to 27 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
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.
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.
المكتبة القانونية الكبرى @great_law · 35,558 Telegram ranks this channel #4 of 92 here — alongside 91 others — read 2 September 2026
كتب قانون @k1r1a1r1 · 25,297 Telegram ranks this channel #15 of 91 here — alongside 90 others — read 14 September 2026
وظائف قانونية Legal jobs ⚖️🇸🇦 @jobs_law · 31,277 Telegram ranks this channel #32 of 93 here — alongside 92 others — read 6 September 2026
وظائف قانونية ⚖️🇸🇦 @saudilawjobs · 31,811 Telegram ranks this channel #35 of 88 here — alongside 87 others — read 5 September 2026
عالم المحاسبة 🌏 @Acc_world0 · 35,210 Telegram ranks this channel #37 of 85 here — alongside 84 others — read 2 September 2026
قدرات الجامعيين | التهيئة @AltaheahUni · 32,471 Telegram ranks this channel #67 of 91 here — alongside 90 others — read 5 September 2026
دورات مجانية معتمدة - icourses @icoursess · 257,533 Telegram ranks this channel #85 of 96 here — alongside 95 others — read 10 August 2026
This channel appears in 7 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“زاد القانون” (@lawzad), 9,906 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/lawzad.
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.