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Channel

Pub Med

@Pub_Med1

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

4,282subscribers

+1,877 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002075270720
TypeChannel
Username@Pub_Med1
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 September 2026
Last confirmed live19 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/Pub_Med1

Topic

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 14 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 why it has no browse page of its own yet.

Growth

2,4054,2823,343.57 August 2026 — 2,405 subscribers7 August 2026 — 2,463 subscribers11 August 2026 — 2,915 subscribers14 August 2026 — 3,474 subscribers18 August 2026 — 3,495 subscribers20 August 2026 — 3,551 subscribers24 August 2026 — 3,584 subscribers27 August 2026 — 3,586 subscribers29 August 2026 — 3,587 subscribers1 September 2026 — 3,652 subscribers6 September 2026 — 3,739 subscribers6 September 2026 — 3,739 subscribers11 September 2026 — 3,802 subscribers15 September 2026 — 4,030 subscribers19 September 2026 — 4,282 subscribers7 August 202619 September 2026
15 measurements spanning 43 days, net +1,877. 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 2,123–4,564 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 08:194,282+252
15 Sept 2026, 04:384,030+228
11 Sept 2026, 03:183,802+63
6 Sept 2026, 06:223,739no change
6 Sept 2026, 04:003,739+87
1 Sept 2026, 20:543,652+65
29 Aug 2026, 22:563,587+1
27 Aug 2026, 05:053,586+2
24 Aug 2026, 15:043,584+33
20 Aug 2026, 21:433,551+56
18 Aug 2026, 06:223,495+21
14 Aug 2026, 20:383,474+559
11 Aug 2026, 04:462,915+452
7 Aug 2026, 19:152,463+58
7 Aug 2026, 05:452,405first reading

Engagement

20 posts held, back to 26 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
30.4%
avg views ÷ 4,282 subscribers
Avg views / post
1,300
19 posts measured
Reaction rate
0.897%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 4 September 2026
Posts held20 (26 August 20264 September 2026)
Views total24,750
Reactions total222
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Sept 2026, 06:22 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

222 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7433.3%
🔥7433.3%
👍5926.6%
114.95%
🫡41.80%

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 19 of the 20 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 222 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 26 August 2026 to 4 September 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

4 Sept 2026, 10:02 UTC690 views9 reactionsread 6 September 2026

الأخوه والأخوات الاعزاء ، اعضاء قناه Pub Med المحترمون طيب الله اوقاتكم بكل خير وبعد... 📌هذه الرساله عباره عن فهرس لمحتوى القناه : ◾️اعلان قناة Pub Med ◾️ نبذه عن القناه ◾️مقدمة ونصايح للطلاب المقبلين في دراسة الطب البشري ◾️ فهرس كل مايخص سنه اولى ترم اول ◾️ فهرس كل ما يخص مستوى اول ترم ثاني ◾️ فهرس كل ما يخص بلك MSK ◾️ فهرس كل ما يخص بلك الدم قددددديم ◾️فهرس كل ما يخص بلك الدم الجديد ◾️ فهرس كل ما

6👍3

Signed Dr. Hani Alawadhi

3 Sept 2026, 19:07 UTC790 views13 reactionsread 6 September 2026

نعتذر منكم كثيرًا عن التأخير، وذلك بسبب بعض الظروف وضغط الدراسة والدوام الجامعي، بالإضافة إلى أعمال والتزامات أخرى، والتي حالت دون إنجاز العمل في الوقت الذي كنا نخطط له. ولن نُفصح عن تفاصيل العمل في الوقت الحالي، حتى يكتمل بالشكل المطلوب، وحتى نكون صادقين معكم ونقدم لكم شيئًا جاهزًا فعلًا، وليس مجرد فكرة او وعود. الموضوع الذي نفكر فيه يحتاج وقتًا وجهدًا، وكوننا طلابًا مثلكم، فلدينا مذاكرة والتزامات وضغط دراسي، لذلك

👍74🔥2

3 Sept 2026, 17:28 UTC782 views15 reactionsread 6 September 2026

انزل الموضوع اليوم؟

🔥114

Signed Dr. Hani Alawadhi

3 Sept 2026, 17:25 UTC795 views3 reactionsread 6 September 2026

شكرا .... هذا من لطفكم. 《بجهدٍ كريم وعطاءٍ مشكور، تكرّمت إحدى زميلاتنا الكرام، الدارسة في جمهورية مصر، بإفادتنا بكل ما يخص العملي في التشريح Anatomy. كل الشكر والتقدير لها على هذا العطاء ❤️🤍》 انضموا

2👍1

Signed Dr. Hani Alawadhi

3 Sept 2026, 06:31 UTC872 views5 reactionsread 6 September 2026

هذوا بس الذي يشتوا البرومبات؟

👍5

Signed Dr. Hani Alawadhi

2 Sept 2026, 21:34 UTC951 views19 reactionsread 6 September 2026

في موضوع اشتي اشوف رأيكم فيه واذا حبيتوه ببدأ اشتغل فيه ان شاء الله بيكون حاجه حلوه وضخمه تناسب اسم القناه وبيكون بنفس الترتيب حقنا ترقبوه لبكره ان شاء الله 👍

🔥11👍62

Signed Dr. Hani Alawadhi

1 Sept 2026, 13:29 UTC≈1,380 views38 reactionsread 6 September 2026

بمناسبة إن الاشتراكات رخصت، والذكاء الاصطناعي صار في متناول الجميع 🤖✨ لاحظنا إن كثير من الطلاب يرسلوا أوامر للذكاء الاصطناعي، وبعدها يظلوا يعدلوا ويكرروا الطلب مرة بعد مرة عشان يوصلوا للنتيجة اللي يشتوها، وفي النهاية يضيعوا وقت وجهد أكثر مما كانوا بيوفروا! عشان كذا، زميلنا المعروف والموثوق د. أحمد العريقي بيجهز لكم كتيب مميز يحتوي على أكثر من 50 أمر وبرومبت للذكاء الاصطناعي، منتقاة بعناية، متنوعة ومخصصة لتفيد الطلا

20👍13🔥5

30 Aug 2026, 20:05 UTC≈1,500 views4 reactionsread 6 September 2026

إليكم كل ما يتواجد في القناه من داتا تخص سنه اولى والبلكات مثبته في الرساله هذي اطلعوا عليها إن وجد اي خطأ او اي شي مش موجود نرجو التواصل معنا لتوفيره

4

30 Aug 2026, 17:00 UTC≈1,660 views14 reactionsread 6 September 2026

السلام عليكم ورحمة الله وبركاته بفضل الله، نضع بين أيديكم اليوم قناة Blood Block 🩸 والتي تم إعدادها وتجهيزها لتكون مرجعًا منظّمًا وشاملًا لمحتوى البلوك. حرصنا خلال إعداد القناة على جمع المصادر التي يحتاجها الطالب، وترتيبها وفهرستها بصورة واضحة؛ حتى يكون الوصول إلى المحاضرات والملفات والشروحات والمراجعات أكثر سهولة، وتبقى مصادر البلوك مجتمعة في مكان واحد. القناة وُجدت لتعمّ فائدتها، لذلك نرجو من الجميع المساهمة في

8👍6

30 Aug 2026, 14:38 UTC≈1,540 views24 reactionsread 6 September 2026

طلاب بلك الدم مستوى ثاني .... سيتم انزال القناة الخاصة ببلك الدم الساعة 8 مساءً كونوا متواجدين

🔥126👍6

29 Aug 2026, 16:21 UTC≈1,720 views32 reactionsread 6 September 2026
Photo

طلاب بلك الدم .... انتظرونا ✨

🔥284

Showing the 12 most recent of 20 posts we hold for @Pub_Med1. 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.

Mentions

Named by 4 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Pub Med” (@Pub_Med1), 4,282 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Pub_Med1.

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.