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 26 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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
30 measurements spanning 57 days, net +335. 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 27,287–28,494 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
31 Oct 2026, 21:19
27,967
-24
30 Oct 2026, 22:58
27,991
-21
29 Oct 2026, 21:05
28,012
-12
28 Oct 2026, 22:48
28,024
-10
27 Oct 2026, 21:49
28,034
-15
26 Oct 2026, 19:27
28,049
-13
25 Oct 2026, 17:09
28,062
-13
24 Oct 2026, 19:57
28,075
-22
23 Oct 2026, 20:31
28,097
-9
22 Oct 2026, 23:41
28,106
-23
21 Oct 2026, 20:57
28,129
-9
20 Oct 2026, 16:08
28,138
-5
19 Oct 2026, 15:08
28,143
-9
18 Oct 2026, 12:16
28,152
-5
17 Oct 2026, 13:10
28,157
-15
16 Oct 2026, 14:45
28,172
-20
15 Oct 2026, 14:50
28,192
-7
14 Oct 2026, 16:28
28,199
-19
13 Oct 2026, 09:48
28,218
-41
9 Oct 2026, 07:40
28,259
first reading
Engagement
38 posts held, back to 18 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 74 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.2%
avg views ÷ 27,967 subscribers
Avg views / post
4,820
10 posts measured
Reaction rate
0.861%
reactions ÷ views · ER floor
Posts in window
10
of 38 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 31 October 2026
Posts held
38 (18 July 2026 – 31 October 2026)
Views total
48,193
Reactions total
415
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Nov 2026, 01:45 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
115
Videos
7
Links
45
Lifetime counters from Telegram’s own channel header, read 1 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.
Video runtime
8m 53s
Average length
2m 13s
Measured directly from 4 videos 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
1,863 reactions across 38 posts, in 7 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
❤
1,649
88.5%
🔥
112
6.01%
🥰
35
1.88%
👍
24
1.29%
😭
22
1.18%
👌
17
0.913%
🤷
4
0.215%
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 38 of the 38 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 1,863 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 18 July 2026 to 31 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.
🎉 NOVEMBER OFFERS ARE HERE!
3 باقات مختلفة.. أسعار خاصة.. وقيمة أكبر لمذاكرتك!
سواء عايز تستثمر في:
📚 تنظيم وفهم المعلومات.
🧠 تثبيت المعلومات والمراجعة.
🚀 تطوير نظام مذاكرتك بالكامل.
كل ده بأسعار مخفضة، ومعاهم كتابين Prompts جاهزين للمذاكرة والمراجعة للامتحانات. 🎁
⏳ العرض متاح أول أسبوع من نوفمبر فقط!
🔗 حابب تعرف تفاصيل كل كورس وتشوف feedback زمايلنا ؟
زور موقعنا من هنا:
https://course-zeta-fawn.vercel.app/
وا…
﴿فقالوا ربَّنا آتنا من لدُنك رحمةً﴾؛ أي: تُثَبِّتنا بها وتحفظُنا من الشرِّ وتوفِّقنا للخير، ﴿وهيِّئ لنا من أمرِنا رَشَداً﴾؛ أي: يسِّر لنا كلَّ سببٍ موصل إلى الرشد، وأصلحْ لنا أمر ديننا ودُنيانا
الاعتماد علي الله والتبؤ من الحول والقوه سبب لبلوغ المقصود
متنسوش تصلوا علي النبي 🤍
السلام عليكم ❤️
أتمنى تكونوا كلكم بخير.
الحمد لله ربنا وفقني إني أوصل لسيستم مراجعة فعّال جدًا باستخدام Anki والـAI، وساعدني إني أوصل لنتيجة الحمد لله راضي عنها.
وطبعًا، استخدام الـAI في السيستم ده مش معناه إننا نعتمد عليه بشكل يضعف مهاراتنا أو يخلّينا نتوقف عن التفكير والفهم بنفسنا؛ الفكرة إننا نتعلم إزاي نستخدمه صح، كأداة تساعدنا وتوفّر علينا وقت ومجهود، من غير ما تلغي دورنا أو تقلّل من مهاراتنا.
ومن أكتر الحاجا…
السلام عليكم ❤️
عملتلكم موقع يحوّل جدول المحاضرات بتاعك لنظام متابعة متكامل 📚
✅ تعرف إيه المحاضرات اللي محتاجة مذاكرة أول مرة، حل أسئلة، أو مراجعة.
✅ تتابع نزولك العملي، وتحسب عدد مرات حضورك ونسبة غيابك.
✅ تعرف الأسابيع المضغوطة والأسابيع الخفيفة، عشان تنظم وقتك صح.
✅ تعرف المحاضرة اللي عليها الدور في المراجعة والأسئلة.
كل اللي عليك تذاكر وتعلّم على المربع، والموقع يتابع معاك كل حاجة!
🔗 رابط الموقع:https://study-…
🎯 خد الكورس أسبوع كامل… ولو ما استفدتش منه، فلوسك هترجعلك 100%.
أنا عايزك تدخل وتجرب بنفسك، مش تصدقني وخلاص.
وهتلاقي في الكورس حاجات زي
السلايد اللي فوق 👆🏻
أسبونج بوب بيشرحلك المعلومة بدل ما تكون مجرد كلام أكاديمي جاف. 😂
الفكرة ان عايز الكورس يكون بيقدم قيمه وفي نفس الوقت ميبقاش ممل وجاف
جرّب أسبوع، واحكم بنفسك.
رابط المنصه :
https://abd-elrhman.nzmly.com
للتواصل واتساب :
01225211153
تفتكر أقدر أغيّر شكل م…
اداه جديده بس من نوع مختلف ✨
تخيل إنك تقدر تحوّل المذاكرة المملة بالنسبة لك لوقت تاخد عليه أجر وثواب.
تنوي مثلًا إنك بتذاكر عشان تجيب درجات حلوة، تفرّح بابا وماما، وتنفع نفسك وتستثمر في مستقبلك، فتتحول المذاكرة من مجرد وقت بيعدّي لعبادة
تؤجر عليها.
الفكرة دي ممكن تطبقها على كل حاجة في حياتك حرفيًا.
جميل إننا نتعلم ندور على النيات اللي ورا كل فعل بنعمله، ونخلي حتى الحاجات المؤقتة اللي بتعدّي كده كده، سببًا في ثواب …
واحد من الـ feedbacks اللي فرحتني جدًا 🤍
وأعتقد إن ده هو المكسب الحقيقي من الكورس.
مش إنك تتعلم AI وخلاص، لكن إنك توصل في الآخر لنتيجة فعلًا تساعدك في مذاكرتك، وفي وقت ومجهود أقل من إنك تحاول توصل لنفس النتيجة لوحدك — وده شخصيًا اللي حصل معايا.
والأجمل إن بدأت توصلني Prompts من الشباب نفسهم، هما اللي عملوها عشان يحلوا بيها مشاكل في مذاكرتهم ويطوروا الـ workflow بتاعهم.
وده لسه في أوله جدًا 🤍
ومتوقع مع الوقت إنهم …
❤22
Signed Abdelrhman
Showing the 12 most recent of 38 posts we hold for @lifedocter. 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.
Posts edited after publishing
@lifedocter edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
19 September 2026
Most recent edit
19 September 2026
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.
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 31 October 2026 — this
entry's latest reading, not the date you are reading this.
“Abdel-Rhman Fawzy” (@lifedocter), 27,967 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/lifedocter.
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.