Telegram RegisterThe public register of Telegram

Channel

منصة ادراك Edraak Courses

@edraakorg

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

20,379subscribers

+37 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001363211238
TypeChannel
Username@edraakorg
Description‏إدراك هي مبادرة من مؤسسة الملكة رانيا للتعليم والتنمية ‎ لتوفير ‎#التعليم_الالكتروني التفاعلي عبر الإنترنت مجاناً للعالم العربي . اخر الدورات تجدها : https://linktr.ee/edraak.org https://Edraak.org قناة غير رسمية نخبة قنواتنا @i000t للتواصل @Dawo5d
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/edraakorg

Growth

20,34220,37920,360.56 August 2026 — 20,342 subscribers6 August 2026 — 20,342 subscribers7 August 2026 — 20,347 subscribers8 August 2026 — 20,345 subscribers9 August 2026 — 20,352 subscribers11 August 2026 — 20,368 subscribers12 August 2026 — 20,373 subscribers13 August 2026 — 20,379 subscribers6 August 202613 August 2026
8 measurements spanning 7 days, net +37. 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 20,336–20,385 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 10:3520,379+6
12 Aug 2026, 11:4420,373+5
11 Aug 2026, 12:4720,368+16
9 Aug 2026, 12:5120,352+7
8 Aug 2026, 14:2320,345-2
7 Aug 2026, 16:3020,347+5
6 Aug 2026, 15:2020,342no change
6 Aug 2026, 06:4920,342first reading

Engagement

8 posts held, back to 19 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.79%
avg views ÷ 20,379 subscribers
Avg views / post
1,380
8 posts measured
Reaction rate
0.398%
reactions ÷ views · ER floor
Posts in window
8
of 8 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
WindowRolling 30 days · latest post in window 13 August 2026
Posts held8 (19 July 202613 August 2026)
Views total11,066
Reactions total44
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 07:36 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
930
Videos
59
Links
491

Lifetime counters from Telegram’s own channel header, read 14 August 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.

Reaction mix

44 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 97.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4397.7%
👍12.27%

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 8 of the 8 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 44reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 19 July 2026 to 13 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.

Recent posts

13 Aug 2026, 07:20 UTC347 views5 reactionsread 14 August 2026
Photo

⁨ قرارك في العمل… هل تبنيه على الحدس أم على معلومات موثوقة؟ 🔎📊 تعلّم كيف تستخدم البحث، تحلل البيانات، وتصل إلى نتائج تساعدك على اتخاذ قرارات أفضل في دورة "مهارات البحث لنجاح الأعمال" ابدأ الآن، الرابط في البايو!

5

10 Aug 2026, 06:29 UTC779 views2 reactionsread 14 August 2026
Photo

⁨ لا تكتفِ باستخدام الذكاء الاصطناعي، تعلّم كيف تقيّم مخرجاته وتتحقق من جودتها. 🤖 تعرّف على مفاهيم أساسية في الذكاء الاصطناعي، واكتشف كيف تساعدك على فهم أداء النماذج واتخاذ قرارات أكثر دقة. 📊 سجل الآن، الرابط في البايو!

2

4 Aug 2026, 13:21 UTC≈1,310 views5 reactionsread 14 August 2026
Photo

⁨ تتدفّق البيانات من حولنا باستمرار، لكن قيمتها الحقيقية تكمن في فهمها وتحويلها إلى معلومات تدعم اتخاذ القرار. 📊 تعلّم كيف تحلّل البيانات وتعرضها بوضوح لدعم قراراتك 📈 من خلال دورة "تصور البيانات واتخاذ القرار". الرابط في البايو!📌

4👍1

2 Aug 2026, 12:51 UTC≈1,330 views8 reactionsread 14 August 2026
Photo

⁨ ⁨ ⁨ كل مشروعٍ ناجح يبدأ برؤية، وشراكة، وقرارات تُرسم قبل أن يبدأ البناء🏗️🧩 تعرّفوا على العلاقة بين أصحاب العمل والمصممين، وكيف تتحول الأفكار إلى مشاريع تصنع أثرًا مستدامًا. سجّلوا الآن في دورة "أصحاب العمل والمصممون: نماذج لرعاية أعمال البيئة المبنية"، الرابط في البايو!📌⁩⁩⁩

8

30 Jul 2026, 06:50 UTC≈1,500 views3 reactionsread 14 August 2026
Photo

⁨ هل كل أدوات الذكاء الاصطناعي متشابهة؟ 🤔 لكل مجال أدوات ذكاء اصطناعي صُممت لتطبيقاته المختلفة. تعرّف على أبرزها، وكيف تختار الأداة المناسبة لمجال عملك، في تخصص "الذكاء الاصطناعي من أجل التوظيف". سجل الآن، الرابط في البايو! 📌⁩

3

26 Jul 2026, 11:51 UTC≈2,130 views5 reactionsread 14 August 2026
Photo

⁨ الأداة المناسبة قد تختصر عليك ساعات من العمل!⏱️ تعرّف على كيفية استخدام أدوات الذكاء الاصطناعي بذكاء، ومتى تختار كل أداة، من خلال تخصص "الذكاء الاصطناعي من أجل التوظيف" سجل الآن، الرابط في البايو!📌 *جميع الأدوات الرقمية والمنصات والتطبيقات المشار إليها في هذا المحتوى مذكورة لأغراض تعليمية وتوضيحية حصراً، وتم إدراجها لغايات عكس المشهد العام للتقنيات المتاحة فقط. ولا يعد ذكرها تأييداً أو موافقة أو توصية أو تفضيلا

5

23 Jul 2026, 11:50 UTC≈1,770 views9 reactionsread 10 August 2026
Photo

⁨ هل سبق أن أعطاك الذكاء الاصطناعي إجابة بدت صحيحة... ثم اكتشفت أنها خاطئة؟ 👀 تعرّف على مفهوم الهلوسة (Hallucination) وكيف تتحقق من المعلومات، ضمن تخصص الذكاء الاصطناعي من أجل التوظيف. ابدأ الآن، الرابط في البايو! 📌

9

19 Jul 2026, 11:51 UTC≈1,900 views7 reactionsread 10 August 2026
Photo

من فهم أساسيات الذكاء الاصطناعي إلى استخدامه بفعالية في بيئة العمل... يأخذك هذا التخصص في رحلة تعليمية متكاملة عبر أربع دورات عملية. ابدأ رحلتك اليوم، وطوّر مهارة أصبحت أساسية في سوق العمل⬇ https://tr.ee/7LlH7P

7

Showing the 8 most recent of 8 posts we hold for @edraakorg. 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 — 755,605 of 1,336,469entries 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.

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 3 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“منصة ادراك Edraak Courses” (@edraakorg), 20,379 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/edraakorg.

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.