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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
54 measurements spanning 85 days, net +111. 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 25,058–25,671 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 54
Measured (UTC)
Subscribers
Change
31 Oct 2026, 20:55
25,347
-5
30 Oct 2026, 20:59
25,352
+57
29 Oct 2026, 18:08
25,295
+88
28 Oct 2026, 15:46
25,207
-5
27 Oct 2026, 13:21
25,212
-4
26 Oct 2026, 16:45
25,216
-11
25 Oct 2026, 16:56
25,227
-24
24 Oct 2026, 14:31
25,251
-20
23 Oct 2026, 17:39
25,271
-5
22 Oct 2026, 20:46
25,276
-5
21 Oct 2026, 20:00
25,281
-14
20 Oct 2026, 18:38
25,295
-16
19 Oct 2026, 20:05
25,311
-23
18 Oct 2026, 16:29
25,334
-18
17 Oct 2026, 14:07
25,352
-11
16 Oct 2026, 14:45
25,363
+1
15 Oct 2026, 17:21
25,362
-2
14 Oct 2026, 19:40
25,364
+3
13 Oct 2026, 14:06
25,361
+171
9 Oct 2026, 17:19
25,190
first reading
Engagement
221 posts held, back to 5 August 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 120 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.91%
avg views ÷ 25,347 subscribers
Avg views / post
1,750
82 posts measured
Reaction rate
1.93%
reactions ÷ views · ER floor
Posts in window
95
of 221 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 81 of 82 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 31 October 2026
Posts held
221 (5 August 2026 – 31 October 2026)
Views total
143,652
Reactions total
2,736
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
31 Oct 2026, 08:14 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
Video runtime
45m 34s
Average length
22m 47s
Measured directly from 2 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
4,629 reactions across 188 posts, in 26 distinct kinds. The most used accounts for 85.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,944
85.2%
🔥
243
5.25%
👏
82
1.77%
🥰
73
1.58%
💯
47
1.02%
👍
38
0.821%
😢
33
0.713%
🤣
27
0.583%
🕊
26
0.562%
😭
22
0.475%
❤🔥
14
0.302%
⚡
12
0.259%
💔
11
0.238%
😍
10
0.216%
😁
9
0.194%
👎
8
0.173%
✍
6
0.13%
😐
5
0.108%
😱
4
0.086%
🤝
4
0.086%
6 further kinds
11
0.238%
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 189 of the 221 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 4,629 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 221 most recent posts we hold, published 5 August 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 196 we hold a reading for · 0.5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @umedacademy. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 221 most recent posts we hold for this entry, published 5 August 2026 to 31 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
كاين فترات تحس فيها بلي الناس كامل راهي تتقدم، تحقق، تتعلم، وتوصل لحوايج كانت تتمناها، وأنت ما زلت تحاول ترتب أمورك وتلحق على واش فاتك.
والأصعب من التأخر أحيانًا هو الإحساس اللي يجي معاه؛ تبدأ تشك في قدراتك، وتقارن بدايتك الحالية بنتائج وصلولها ناس آخرين بعد سنوات من المحاولة.
بصح لازم تعرف حاجة: ماشي كل تأخر معناه فشل، وماشي كل سرعة معناها أنك في الطريق الصحيح.
ممكن تحتاج تراجع طريقتك، تبدل بعض عاداتك، أو حتى تعترف …
ما حبّيناش نخليوكم تستناو حتى لغدوة! 👀
كيما وعدناكم، تسجيل الحصة المميزة مع الدكتورة Sadoun، صاحبة المرتبة الرابعة في ريزيدانا الجزائر 2026 راهو متوفر الآن على منصة UMed Academy! 🎓
وزيادة على ذلك، جمعنالكم في نفس الفضاء تسجيلات اللايفات السابقة اللي نظمناها حول التحضير للريزيدانا، باش تقدروا ترجعولها وتشوفوها في أي وقت.
🎁 الفضاء مجاني ومتاح للجميع!
🔗 https://umed-academy.com/courses-archive-elementor/umed-talks-r…
🔥 راي بدات الحلقة! 👀🎙️
🔴 التحقوا بينا مباشرة من هنا:
https://t.me/umedacademy?livestream=65aa1f3ddeafd4546d
📢 شاركوا الرابط مع زملائكم، وقدروا تخلّوا أسئلتكم هنا في التعليقات! 💬
🔥 راكم واجدين!؟ 👀🎙️
⏳ باقي 15 دقيقة ونبداو حصة UMed Talks حول أسرار التحضير للريزيدانا وكيفاش تقدر تكون ضمن الـ Top 10! 🏆
📢 وجّدوا أسئلتكم، وعيّطوا لزملائكم والـ internes لي راهم يحضّروا لريزيدانا 2027 باش يستفادوا معانا!
🔴 التحقوا بينا مباشرة من هنا:
https://t.me/umedacademy?livestream=65aa1f3ddeafd4546d
💙 نستناوكم! 🚀
🔔🎙️ تذكير | UMed Talks
كيما وعدناكم، موعدنا اليوم على الساعة 20:00 مع حصة مميزة حول أسرار التحضير للريزيدانا وكيفاش تحقق التفوق وتكون ضمن الـ Top 10! 🏆📚
ضيفتنا الدكتورة Feriel Sadoun، صاحبة المرتبة الرابعة في ريزيدانا الجزائر 2026، راح تشارك معانا تجربتها وأهم النصائح لي عاونتها باش تحقق هاذ النتيجة.
💬 واش راح نحكيو في الحصة؟
🔹 أسرار التحضير الفعّال للريزيدانا.
🔹 كيفاش تنظّم وقتك وتوفّق بين الانترنات والقراية.
🔹 ك…
عد إلى كتبك بقلب أقوى وشغف متجدد ويقين لا تهزه الخيبات. لا تجعل إخفاقا عابرا يطفئ حلما طالما سعيت إليه، بل اجعله بداية لنسخة أكثر وعيا وإصرارا وتميزا منك.
اسع وكأن الأمر يعتمد عليك، وتوكل وكأن الأمر كله بيد الله.
تعلم من عثرتك، وجدد نيتك، وأحسن الأخذ بالأسباب، ولا تستعجل الثمرة؛ فلكل سعي صادق أثر، ولله في تدبيره حكمة قد لا تراها اليوم.
انهض، وأتقن، وتوكل… فربك لا يضيع أجر من أحسن عملا. 🤍
#Lumina✨
🏆 أحسن دورة في البيوشيمي؟ شهادة الطلبة المتفوقين هي خير دليل!
دورات الدكتورة Mers في البيوشيمي لقات استحسان كبير من الطلبة، والسبب؟ تبسيط الدروس الطويلة وتلخيصها بطريقة ذكية، مع الحفاظ على أهم المعلومات اللازمة للتحضير للامتحانات.
📚 كي يتحوّل كور من 100 حتى 200 صفحة إلى résumé من صفحتين أو 3 فقط، مع الحفاظ على الأساسيات، هنا تبان قيمة الخدمة المتقونة! 👏
شكراً للدكتورة Mers على المجهود والجودة، وفخورين في UMed Acad…
❤9
Showing the 12 most recent of 221 posts we hold for @umedacademy. 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
@umedacademy edited 3 posts 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
24 August 2026
Most recent edit
19 October 2026
Polls
The 6 most recent of 17 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
واش هو الجهاز اللي تستعملوه فالدراسة خاصة لقراءة الكتب PDF و الدروس !؟
الحاسوب windows62%
الحاسوب mac5%
الهاتف androide38%
الهاتف iOs5%
The shares total 110%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 124%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
2️⃣ Pourquoi la randomisation est-elle cruciale dans un ECR ?
A. Répartir les patients selon leur âge uniquement2%
B. Assurer une distribution équitable des facteurs de confusion entre groupes89%
C. Choisir les patients les plus malades pour le traitement8%
D. Éviter de prendre des patients féminins1%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 221 most recent posts we hold, published 5 August 2026 to 31 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 31 October 2026 — this
entry's latest reading, not the date you are reading this.
“Umed academy 🧠” (@umedacademy), 25,347 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/umedacademy.
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.