Health & wellness — 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 36% 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
31 measurements spanning 44 days, net -147. 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 10,360–10,551 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
19 Sept 2026, 02:55
10,382
-2
16 Sept 2026, 18:17
10,384
-11
14 Sept 2026, 19:58
10,395
-7
13 Sept 2026, 06:14
10,402
-5
11 Sept 2026, 09:37
10,407
-19
8 Sept 2026, 17:58
10,426
-21
5 Sept 2026, 11:17
10,447
+25
3 Sept 2026, 10:23
10,422
+14
2 Sept 2026, 01:41
10,408
-12
1 Sept 2026, 00:55
10,420
-8
31 Aug 2026, 01:13
10,428
+2
30 Aug 2026, 02:23
10,426
-2
29 Aug 2026, 01:57
10,428
-10
28 Aug 2026, 04:58
10,438
-3
27 Aug 2026, 05:23
10,441
-1
25 Aug 2026, 08:09
10,442
-3
24 Aug 2026, 11:34
10,445
-8
22 Aug 2026, 20:23
10,453
-7
21 Aug 2026, 14:06
10,460
-1
20 Aug 2026, 14:12
10,461
first reading
Engagement
54 posts held, back to 21 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 39 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.84%
avg views ÷ 10,382 subscribers
Avg views / post
1,020
7 posts measured
Reaction rate
8.07%
reactions ÷ views · ER floor
Posts in window
7
of 54 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 28 August 2026
Posts held
54 (21 July 2026 – 28 August 2026)
Views total
7,150
Reactions total
577
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 14:46 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
6,192 reactions across 54 posts, in 24 distinct kinds. The most used accounts for 42.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
2,651
42.8%
❤
2,632
42.5%
😭
353
5.70%
💔
123
1.99%
😁
93
1.50%
😢
71
1.15%
🤝
69
1.11%
💯
61
0.985%
❤🔥
39
0.63%
👏
17
0.275%
🤯
15
0.242%
🌚
9
0.145%
😍
9
0.145%
😨
9
0.145%
🥰
8
0.129%
💊
7
0.113%
🔥
7
0.113%
🤔
7
0.113%
👍
4
0.065%
🙊
4
0.065%
4 further kinds
4
0.065%
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 54 of the 54 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 6,192 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 21 July 2026 to 28 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.
التخطي نعمة مش أي حد يمتلكها من أول تجربة فاشلة ، في اللي يلقى صعوبة ويحتاج فترة طويلة عشان يتأقلم وفي اللي من ثاني يوم يبدأ صفحة جديدة . أستفيد من الخيبة وبدل ما تكون هي السبب في صعوبة التخطي خليها هي السبب اللي يأكدلك إنه التجربة ما كانتش تستاهل . قيمتك مش حتحددها تجربة، قيمتك تحددها أنت ومهما كان في ضعف في داخلك القوة اللي تتصنعها من الخارج إلا ما يجي اليوم وتعكس على داخلك ، زي ما كنت عايش مبسوط قبل أي تجربة فاشل…
امبارح كان خالى عندنا وكان مصدع هلبا ف أمى طلعتله كيس الأدوية و بدت ادورله على حاجه تسكن الوجع ولقت نوع مسكن غريب هكي ف أمي قالتله مش عارفه هذا ينفع للصداع ولا لأ؟ فلقيتهم يشبحولي هكي قلت اخيرا احتاجولى وحيسألونى و ياخدو رأيي في حاجه طبيه.. خالى عطانى شريط الدواء وقالي معليشي يا وليد اختي لو هنتعبك لكن بالله أدعس للصيدلية يلي جنبكم و اسألنا الدواء هذا يمشي للصداع ولا لا؟
ملاحظة : متخرج من 3 سنين
لو كنت خريج طب حديثاً.. و ظروفك المادية تسمح نوعاً ما .. و عندك الرغبة .. فننصحك ما تفنش عمرك هنا وراء حلم عقد اتوقعه .. و ترجى الافراجات بالسنتين و الثلاثة .. و امتحانات مفاضلة وبرامج تدريبية ضعيفة ..
حدد وجهتك و جهز روحك و دير امتحانات المعادلة و اوراقك .. و ابلط ❗️
فيه ناس تتعامل مع الازمات المعيشية اللي صايرة في ليبيا انها ضنك معيشة فقط ...
بس الحقيقة الطبية أنك عندك هرمون الكوتيزول مشيط طول الوقت في جسمك ( هرمون الضغط النفسي والتوتر ) ...
والهرمون هذا لما يكون مرتفع بشكل مزمن طول الوقت
ف خلايا جسمك كلها تشيخ بسرعة ومناعتك تنقص وكل امراض الدنيا تصبح انت معرض لها ... وحتى لما مجاكش مرض مباشر ف انت قاعد تكبر بسرعة داخليا ...
يعني ببساطة لما نقولوا انه موت ممنهج ... هذا مش …
مش كل دعاية او إعلان على الميديا اتجيبلك مريض !!
المريض الحقيقي يجي من أسلوبك وطول بالك مع المريض اللي قبله.
الكلمة الطيبة والتعامل المريح هن أقوى دعاية
المريض اللي ايتريح معاك هو اللي حيحكي عليك بالخير وين مايمشي ويدل عليك خوه، جاره، وقريبه
سمعتك هي دعايتك
وأخلاقك هي اللي تفتحلك الأبواب
كلا انا قعدتي معاكم في ليبيا مجامله لعمر المختار بس
🤣132😁6
Signed Ahmed Elmtaknsh
Showing the 12 most recent of 54 posts we hold for @Elmtaknsh1999. 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.
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
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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Medical students” (@Elmtaknsh1999), 10,382 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Elmtaknsh1999.
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.