Video, posted without a caption
👍1

Channel
@AlaAbuNabaaInternalAudit
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
7,226subscribers
-69 since we began measuring on 27 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001319053502 |
|---|---|
| Type | Channel |
| Username | @AlaAbuNabaaInternalAudit |
| Description | الزملاء الأفاضل والزميلات الفضليات السلام عليكم ورحمة الله وبركاته أرحب بكم جميعا في هذه القناة... وأسأل الله لنا ولكم التوفيق في نشر المعرفة المهنية المتعلقة بمهنة التدقيق الداخلي... علاء أبونبعة |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 27 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/AlaAbuNabaaInternalAudit |
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 16 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 11:47 | 7,226 | -8 |
| 4 Nov 2026, 15:29 | 7,234 | -3 |
| 1 Nov 2026, 14:40 | 7,237 | -2 |
| 29 Oct 2026, 12:38 | 7,239 | -5 |
| 26 Oct 2026, 09:51 | 7,244 | -1 |
| 23 Oct 2026, 04:16 | 7,245 | -8 |
| 13 Oct 2026, 22:41 | 7,253 | -10 |
| 8 Oct 2026, 13:39 | 7,263 | -5 |
| 2 Oct 2026, 03:16 | 7,268 | -3 |
| 16 Sept 2026, 04:41 | 7,271 | -4 |
| 7 Sept 2026, 21:40 | 7,275 | -5 |
| 3 Sept 2026, 00:35 | 7,280 | -12 |
| 30 Aug 2026, 20:43 | 7,292 | -3 |
| 27 Aug 2026, 13:15 | 7,295 | no change |
| 27 Aug 2026, 13:01 | 7,295 | first reading |
32 posts held, back to 16 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 11 pages 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.
| Window | Rolling 30 days · latest post in window 27 October 2026 |
|---|---|
| Posts held | 32 (16 June 2026 – 27 October 2026) |
| Views total | 1,672 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 02:20 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.
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
108 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 46.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 50 | 46.3% | |
| 👍 | 43 | 39.8% | |
| 💯 | 9 | 8.33% | |
| 👏 | 5 | 4.63% | |
| 👌 | 1 | 0.926% |
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 21 of the 32 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 108 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 16 June 2026 to 27 October 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.
Telegram’s own ‘edited’ marker: 0 of 2 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Video, posted without a caption
👍1
#الذكاء_الاصطناعي لن يجعلك مدربًا أو صانع محتوى محترفًا ما لم تمتلك رصيدًا معرفيًا عميقًا وخبرة عملية حقيقية؛ فقد يكفي سؤال واحد من متدرب أو متابع لكشف الفجوة بين المعرفة الحقيقية والمحتوى المصطنع… الذكاء الاصطناعي يعزز كفاءتك، لكنه لا يعوّض نقص معرفتك وخبرتك... #علاء_أبونبعة
👍5💯1
📈 جديد 🏆 المنشآت لم تعد تبحث عن ثلاثة موظّفين… بل عن واحد يتقن الثلاثة معًا. 🔍 *دبلوم المراجعة الداخلية* 💰 تستعيد رسومك عبر «هدف» بعد اجتياز الاختبار انضم الينا 👇🏻 https://ia.edu.sa/call 🔗 رابط التغريدة بمنصة X
إن شاء الله سأكون أحد المدربين بهذا البرنامج المميز
التقييم الذاتي للرقابة الداخلية: عندما يشارك أصحاب العملية في تقييم قوة الرقابة #علاء_أبونبعة
❤1
حين يصبح ضعف أحد الأدلة ثغرة تهدد تقرير التدقيق بأكمله - #علاء_أبونبعة
👍2❤1
تصنيف ملاحظات التدقيق الداخلي: بين التصحيح، والتحسين، والتعزيز في عالم التدقيق الداخلي، ليست جميع الملاحظات سلبية أو مرتبطة بالأخطاء وأوجه القصور. بل يمكن أن تتنوع الملاحظات بحسب الغرض منها وأثرها في تطوير الأداء المؤسسي، ويمكن النظر إليها من خلال ثلاث فئات رئيسية: ١) #ملاحظات_تصحيحية: تهدف إلى معالجة الأخطاء والمخالفات وحالات عدم الامتثال وأوجه القصور الرقابي، مثل عدم الالتزام بالسياسات أو التشريعات، أو وجود نقاط ض…
❤4
سألني أحد الزملاء سؤالًا جميلًا: كيف نميّز بطريقة عملية وبسيطة بين المصطلحات التالية: Risk وHazard وDanger؟ وكان جوابي كالتالي: يمكن تبسيط الفرق من خلال ثلاثة أسئلة: #Hazard: ما الشيء الذي يمكن أن يسبب الضرر؟ #Danger: هل نحن في وضع قد نتعرض فيه للضرر؟ #Risk: ما احتمال وقوع الضرر، وما حجم أثره؟ وللتوضيح بمثال بسيط: إذا كانت هناك أرضية مبللة، فالأرضية المبللة تمثل Hazard لأنها مصدر محتمل للضرر. وإذا كنت تمشي فوقها …
❤6👍5
اتشرف بمتابعتكم لقناتي الجديدة في الواتساب والمخصصة لمواضيع الإدارة المالية… Follow the الإدارة المالية - علاء أبونبعة channel on WhatsApp: https://whatsapp.com/channel/0029VbC65ScJ3jv6IhUksC3s
❤1
المقصود بـ “Internal Audit or Related Fields” ليس أي خبرة إدارية قريبة من التدقيق بالمعنى العام. الـIIA حدد المجالات المقبولة بشكل صريح. وفق الصفحة الرسمية لمسار Professional CIA Challenge Exam، يجب أن يكون لديك 10 سنوات أو أكثر من الخبرة في واحد أو أكثر من المجالات التالية: * التدقيق الداخلي (Internal Audit) * ضمان الجودة (Quality Assurance) * إدارة المخاطر (Risk Management) * مجالات التدقيق/التقييم (Audit/Assessm…
بحسب الصفحة الرسمية الحالية لـ The Institute of Internal Auditors (IIA) – CIA Challenge Exam، فقد توسع نطاق الأهلية بشكل مهم في 2026. الامتحان هو اختبار واحد فقط، 150 سؤال اختيار من متعدد، ومدته 180 دقيقة، وهو مسار مختصر للحصول على شهادة CIA. من المؤهل حاليًا؟ هناك 3 مسارات: 1) المحاسبون المهنيون CPA / CA: يجب أن يكون المتقدم حاملًا حاليًا لعضوية/اعتماد مهني من إحدى هيئات المحاسبة المعتمدة لدى IIA. وقد توسعت القا…
❤3
متوفر الآن منهاج متكامل من شركة PRC لامتحان التحدي للحصول على شهادة CIA من خلال امتحان واحد فقط لمن تنطبق عليه الشروط… رابط شراء المنهاج (الكتاب وبنك الاسئلة والامتحانات التجريبية والملخصات): https://powersresources.com/en/cia-challenge-exam يوجد لدي كود خصم خاص بأعضاء القناة… للمهتمين أرجو التواصل على الواتساب: علاء أبونبعة 00962796253279
Showing the 12 most recent of 32 posts we hold for @AlaAbuNabaaInternalAudit. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 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.
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“علاء أبونبعة - التدقيق الداخلي” (@AlaAbuNabaaInternalAudit), 7,226 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/AlaAbuNabaaInternalAudit.
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.