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 56% 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 the other topics.
Growth
52 measurements spanning 84 days, net -322. 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 12,597–13,037 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)
Subscribers
Change
3 Nov 2026, 09:35
12,648
-4
2 Nov 2026, 07:54
12,652
-3
1 Nov 2026, 10:46
12,655
-3
31 Oct 2026, 09:26
12,658
+3
30 Oct 2026, 10:31
12,655
+1
29 Oct 2026, 11:15
12,654
-7
28 Oct 2026, 08:58
12,661
-2
27 Oct 2026, 09:55
12,663
-7
26 Oct 2026, 11:55
12,670
+8
25 Oct 2026, 12:08
12,662
+9
24 Oct 2026, 13:21
12,653
-8
23 Oct 2026, 12:46
12,661
-2
22 Oct 2026, 13:46
12,663
-5
21 Oct 2026, 10:06
12,668
-5
20 Oct 2026, 10:56
12,673
-9
19 Oct 2026, 14:00
12,682
-10
18 Oct 2026, 12:58
12,692
-7
17 Oct 2026, 09:38
12,699
-5
16 Oct 2026, 10:47
12,704
-3
15 Oct 2026, 07:56
12,707
first reading
Engagement
50 posts held, back to 7 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.91%
avg views ÷ 12,648 subscribers
Avg views / post
368
15 posts measured
Reaction rate
0.337%
reactions ÷ views · ER floor
Posts in window
15
of 50 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 15 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 1 November 2026
Posts held
50 (7 July 2026 – 1 November 2026)
Views total
5,515
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 06:15 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
Photos
≈484
Videos
≈9
Links
≈3,040
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
17 reactions across 13 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
17
100.0%
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 13 of the 50 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 7 July 2026 to 1 November 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.
🚨 إذا تبغى تتكلم انجليزي زي المحترفين
لازم تعرف هذي الـ 200 كلمة انجليزية
بتخليك محترف باللغة.. تابع 👇🏻
لو بدأت ومستواك A1 زي ناس كتير، ومع الالتزام اليومي بالمصادر دي هتوصل لـ C1 بإذن الله 🙌
مش كورسات غالية ولا مدرسين أونلاين.❌
الفرق الحقيقي؟ الاستمرارية مش الذكاء. ودي المصادر اللي هتفرق فعلاً معاك ⬇️
من غير حفظ،من غير قواعد ومن غير ضغط ❌
السر؟ البودكاست 👇
✔ يدرب ودنك
✔ يظبط نطقك
✔ ويعودك على الإنجليزي الحقي…
⌨️ اختصارات مهمة للكمبيوتر🔥🔥
CTRL + A → تحديد الكل
CTRL + C → نسخ
CTRL + X → قص
CTRL + V → لصق
CTRL + Z → تراجع عن آخر إجراء
CTRL + B → جعل النص غامق (Bold)
CTRL + U → تسطير النص
CTRL + I → جعل النص مائل (Italic)
🔑 أزرار الوظائف (Function Keys)
F1 → فتح المساعدة
F2 → إعادة تسمية العنصر المحدد
F3 → البحث عن الملفات
F4 → فتح قائمة الملفات المنسدلة في نوافذ الحوار
F5 → تحديث النافذة الحالية
F6 → التنقل بين أجزاء ناف…
⚠️ كيف تتحول "وحش انجليزي" في ٣ أشهر فقط!
تابع معايا:
غير مستواك في الإنجليزي خلال 3 اشهر بس! 🫰❤️
مش محتاج كورسات غالية ولا وقت طويل مجرد خطة يومية بسيطة هتخليك تحس بالفرق بسرعة؛مع هذه الخطوات السريعة:⬇️
🔴 اعرف مستواك الصح
ابدأ بالاختبار ده عشان تحدد طريقك الصحيح:
https://molhemoon.com/2381/
🔴 مفرداتك = قوتك
اقرأ نصوص مناسبة لمستواك والكلمات هتثبت تلقائي:
https://molhemoon.com/3334/
🔴 استمع يوميًا
حتى لو 20 دقي…
الراجل ده رهيب حرفيا عامل سلسلة كامله فى تحليل البيانات Data analysis - Power query - Excel - Projects
ودورات تانية مختلفة من الآخر أنت مش هتطلع من قناته غير وأنت متعلم كل ما يخص تحليل البيانات و برنامج الاكسيل و الباور كويري .. بجد شرحه سلس وتحفه ...
الإكسيل: أداة أي شغل محتاجها.
تحليل البيانات: لغة المستقبل والفلوس !
دا كورس كامل لتعليم تحليل البيانات هيفيدك جداً لو كنت مبتدئ
https://molhemoon.com…
سر صغير للسعادة والبركة🥹
النوم بدري مش بس بيخلي جسمك صحي ونشيط ده بيديك وقت ما يتعوضش
✅ في الثلث الأخير من الليل الجو ساكن تصلي ركعتين وتدعي تحس إن قلبك مرتاح
✅ مع صلاة الفجر دماغ صافية، قلب مطمئن، ورزق مفتوح
✅ يومك يبدأ بنشاط كأنك عامل Reset للحياة
أما السهر على السوشيال ميديا لحد الفجر نتيجته صداع وكسل وتعب طول اليوم.
جرب النوم بدري وهتفهم إنه من أسرار السعادة والنجاح
📘 ملخص كتاب نادي الخامسة صباحًا PDF…
🚨 عـــــــــــــــــــــااااااجـــــــــــــــــــــــل
(🔴) مجاناً | جامعة أم القرى تعلن استمرار القبول في برامج الدراسات العليا للعام ١٤٤٨هـ:
▪️ (الدكتوراه).
▪️ (الماجستير).
▪️ (الدبلوم العالي).
رابط التقديم:
thetechfun.com/31537?v=2/%d8%…
.
اكتشفت موقع مؤخرًا وحبيت أشاركه معكم، خصوصًا للي يحبون يقرأون الكتب والأبحاث الأجنبية لكن اللغة أحيانًا تكون عائق.
الموقع اسمه BookTranslator، وفكرته إنه يترجم لك الكتب، الأوراق العلمية، الأبحاث، وملفات PDF وEPUB وDOCX وغيرها إلى العربية باستخدام الذكاء الاصطناعي، مع الحفاظ على تنسيق الملف بشكل احترافي جدًا.
أكثر شيء عجبني فيه إنه يقدر يعطيك الترجمة بشكل ثنائي: فقرة باللغة الأصلية، وبعدها نفس الفقرة بالعربي، وهذ…
أقسم بالله أفضل دورة تضمن لك وظيفة في كبري الشركات هي دورة تحليل البيانات
الشرح: بسيط
المدة: 3 جلسات
التكلفة: مجاني
رابط الدورة:
https://thetechfun.com/30167/?v=2/%d8%a3%d9%81%d8%b6%d9%84-%d8%af%d9%88%d8%b1%d8%a7%d8%aa-%d8%aa%d8%ad%d9%84%d9%8a%d9%84-%d8%a7%d9%84%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa
أفضل أدوات تحليل البيانات في التسويق لازم تعرفها
https://thetechfun.com/28564?v=2/%d8%a3%d8%af%d9%88%d8%a7%d8%aa-%…
مهارة واحدة لا تكفيك ❌
اتقن مهارات – طوّر نفسك بلا توقف 🚀
في عالم سريع ومليان منافسة ماينفعش تعتمد على مهارة واحدة بس❌
لازم تشتغل على نفسك وتطوّر قدراتك باستمرار:
تواصل✅
تنظيم ✅
قيادة✅
عمل جماعي✅
تفكير نقدي✅
علشان كده جبنالك أفضل الكورسات والمسارات المجانية 👇👇
🔹 1. كورسات تعلم المهارات الشخصية (Soft Skills) – 2024
مهارات أساسية: القيادة، إدارة الوقت، التفويض، التواصل، التفكير النقدي، وحل المشكلات.
🔗 http…
🤖 لو هتبدأ تتعلم AI وMachine Learning من الصفر 2026… اختار مصادر قوية من البداية.👌🏻
ولو مسموح لك بـ5 كورسات فقط، فدول يستحقوا يكونوا على قائمتك 👇🔥
1️⃣ Deep Learning (CS230)
أساسيات الـDeep Learning والشبكات العصبية:
https://thetechfun.com/30071
2️⃣ Transformers & LLMs (CME295)
افهم التقنية وراء نماذج مثل ChatGPT:
https://thetechfun.com/30072
3️⃣ Language Models from Scratch (CS336)
اتعلم كيف تُبنى النماذج اللغو…
❤2
Showing the 12 most recent of 50 posts we hold for @p_4all. 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@p_4all named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@molhemoon named in 4 posts, 12 August 2026 – 23 August 2026
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.
Mogtahed Academy @bookss_summary · 120,797 Telegram ranks this channel #7 of 59 here — alongside 58 others — read 15 August 2026
مدرسة اون لاين @Madrsa_online · 62,710 Telegram ranks this channel #17 of 50 here — alongside 49 others — read 25 August 2026
مصادر لتعلم الأمن السيبراني @rakancyber · 18,864 Telegram ranks this channel #22 of 68 here — alongside 67 others — read 4 October 2026
Oussamadcsi _ برمجة و تطوير الذات @codingbasics · 21,716 Telegram ranks this channel #41 of 59 here — alongside 58 others — read 21 September 2026
قناة محمد عبد الرؤف للتوظيف @mohamed2024Am · 196,673 Telegram ranks this channel #54 of 83 here — alongside 82 others — read 11 August 2026
This channel appears in 5 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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“البرمجة للجميع” (@p_4all), 12,648 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/p_4all.
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.