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Telegram profile photo for OSOS- الطب البشري

Channel

OSOS- الطب البشري

@osos_med

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

6,167subscribers

+59 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002100983816
TypeChannel
Username@osos_med
Descriptionan innovative question bank learning tool created by students, doctors, and academic faculty members together specifically designed for medical students in Libya. support : @osos_team Ososedu.com
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/osos_med

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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

6,1066,1836,144.56 August 2026 — 6,108 subscribers6 August 2026 — 6,108 subscribers6 August 2026 — 6,106 subscribers9 August 2026 — 6,126 subscribers12 August 2026 — 6,136 subscribers16 August 2026 — 6,135 subscribers21 August 2026 — 6,140 subscribers24 August 2026 — 6,152 subscribers27 August 2026 — 6,151 subscribers30 August 2026 — 6,147 subscribers3 September 2026 — 6,143 subscribers8 September 2026 — 6,136 subscribers12 September 2026 — 6,153 subscribers16 September 2026 — 6,160 subscribers29 September 2026 — 6,181 subscribers6 October 2026 — 6,183 subscribers12 October 2026 — 6,182 subscribers15 October 2026 — 6,173 subscribers18 October 2026 — 6,167 subscribers22 October 2026 — 6,174 subscribers24 October 2026 — 6,179 subscribers27 October 2026 — 6,178 subscribers30 October 2026 — 6,175 subscribers5 November 2026 — 6,167 subscribers6,1676 August 20265 November 2026
24 measurements spanning 91 days, net +59. 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 6,094–6,195 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
5 Nov 2026, 11:286,167-8
30 Oct 2026, 03:306,175-3
27 Oct 2026, 12:376,178-1
24 Oct 2026, 14:596,179+5
22 Oct 2026, 00:206,174+7
18 Oct 2026, 23:086,167-6
15 Oct 2026, 12:506,173-9
12 Oct 2026, 17:176,182-1
6 Oct 2026, 04:586,183+2
29 Sept 2026, 06:376,181+21
16 Sept 2026, 02:586,160+7
12 Sept 2026, 19:176,153+17
8 Sept 2026, 17:016,136-7
3 Sept 2026, 01:456,143-4
30 Aug 2026, 18:456,147-4
27 Aug 2026, 13:136,151-1
24 Aug 2026, 19:036,152+12
21 Aug 2026, 11:396,140+5
16 Aug 2026, 02:166,135-1
12 Aug 2026, 21:046,136first reading

Engagement

41 posts held, back to 6 May 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 13 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
20.8%
avg views ÷ 6,167 subscribers
Avg views / post
1,290
11 posts measured
Reaction rate
0.714%
reactions ÷ views · ER floor
Posts in window
11
of 41 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 2 November 2026
Posts held41 (6 May 2026 – 2 November 2026)
Views total14,137
Reactions total101
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 16:26 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
287
Videos
40
Links
179

Lifetime counters from Telegram’s own channel header, read 5 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
5m 22s
Average length
36s

Measured directly from 9 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

335 reactions across 37 posts, in 11 distinct kinds. The most used accounts for 69.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤23169.0%
🔥6720.0%
🎉92.69%
🏆82.39%
💘72.09%
💯30.896%
🤩30.896%
❤‍🔥20.597%
👍20.597%
👏20.597%
🕊10.299%

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 37 of the 41 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 335 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 6 May 2026 to 2 November 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

Telegram’s own ‘edited’ marker: 6 of 11 posts held from the last 30 days (54.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

2 Nov 2026, 13:25 UTC≈1,040 views4 reactionsread 5 November 2026
Video

الاشتراك مفتوح في جزء الفاينل لمادة Community Medicine مع OSOS ✨ خطة متكاملة نغطّوا فيها منهج الفاينل، مع التركيز على أهم نقاط الامتحان والـHigh-Yield Topics. تفاصيل الخطة والجدول: https://t.me/OSOSCM1 للاشتراك والاستفسار: @OSOS_team #OSOS #CommunityMedicine #FinalExam

🔥3❤1

31 Oct 2026, 16:44 UTC920 views5 reactionsread 5 November 2026
Video

⁨ 🚏 المحطة الجاية… STATION +2 💙 غدوة نبدوا رحلة الـ31 يوم في النساء والولادة، للتحضير للنظري والكلينيكال مع بعض! ✨ الجديد: Oral Flashcards، وHistory Checklists، وجلسات تدريب لايف—باش تفهم، تجاوب، وتتدرّب على تقديم الحالات. أول مرة تقراها؟ أو تبي تثبّت معلوماتك؟ من أي جامعة، وحتى لو ما حضرتش الجولة الأولى مع أسس… مكانك معانا! 🎟️ 📩 للاشتراك: @OSOS_team

❤5

31 Oct 2026, 11:40 UTC811 views5 reactionsread 5 November 2026
Video

#OBGYN #المحطة_التانية #OSOS_medical

❤3🎉1🔥1

26 Oct 2026, 19:00 UTC≈1,310 views5 reactionsread 5 November 2026
Video

#ACCESS #OSOS_MEDICAL #تجاربكم #CLINCAL

❤3🎉1🔥1

21 Oct 2026, 09:01 UTC≈2,680 views16 reactionsread 5 November 2026
Video

📚 2,200 سؤال | جولتين | 100 يوم انضم للطلاب اللي بدوا الماراثون، وخلّي كل سؤال يزيد فهمك وثقتك إنت قدّها، ومعانا تلمّ المنهج وتركّز على المهم والأهم. أسس معاك خطوة بخطوة مش مجرد أسئلة اوتجميعات… تجربة متكاملة وفريدة لقراية منهجك بطريقة اذكى أقرب من اي مصدر لإمتحانك 🎯 📩 ابعثلنا «ماراثون» في الخاص للتفاصيل @osos_team

❤10🔥5👍1

16 Oct 2026, 23:50 UTC≈1,330 views12 reactionsread 5 November 2026
Video

شابتر جديد… بداية جديدة 💙🫀 كمّلنا الـRESP، وتوا نبدأوا الـCVS في ماراثون الباطنة 🏃‍♂️ ومش Qbank بس 👀 جهّزنالكم أدوات تكمّل بعض وتعاونكم في اهم شابتر في الباطنة: 💻 OSOS Qbank. 📊 OSOS Infogram معلومات الامتحانات السابقة + الأساسيات اللي لازم تعرفوها، مرتّبة في ملخّصات بصرية تسهّل المراجعة وتربط الأفكار. 🎥 OSOS CVS Course شرح يرافقكم في الشابتر، ومنه تنتقلوا للتطبيق على الأسئلة. نبدأوا صفحة جديدة، ونكملوا المشوا…

🏆5🔥5👍1👏1

16 Oct 2026, 09:44 UTC735 views9 reactionsread 5 November 2026
Sticker

Sticker, posted without a caption

❤5🔥4

14 Oct 2026, 05:26 UTC≈1,180 views7 reactionsread 5 November 2026
Video

#run_boy_run .. #مارثون ـ الباطنة اسس

❤7

12 Oct 2026, 11:05 UTC972 views19 reactionsread 5 November 2026
Video

خلال 3 سنوات، كبرت عائلة OSOS ووصلت لأكثر من 6500 مستخدم 💙 وراء كل رقم، طالب وثق فينا وخلّانا جزء من رحلته. شكرًا لكل من اختارنا، رشّحنا لأصحابه، أو شاركنا ملاحظة ساعدتنا نطوّر ونقدّم الأفضل. ثقتكم تعني لنا الكثير، ونجاحكم هو أجمل جزء من حكايتنا. شكرًا لأنكم جزء من عائلة OSOS… وما زال قدّامنا الكثير نقدّموه معاكم ✨ #OSOS #OSOS_MEDICAL

❤15🔥3🏆1

9 Oct 2026, 12:29 UTC869 views9 reactionsread 5 November 2026
Forwarded from @osos_medicinePhoto

🏁 ماراثون الباطنة ينطلق اليوم مع OSOS Medical! 100 يوم، خطة واحدة وجولتان. أكثر من 2000 سؤال، ملخصات ورسوم توضيحية، متابعة يومية.. نقروا مع بعض، ونكملوا للنهاية🏃🏻 #ماراثون_الباطنة #OSOS_Medical

❤9

9 Oct 2026, 12:28 UTC≈2,290 views10 reactionsread 5 November 2026
Video

مارثون الباطنة 2026

🔥9❤1

29 Sept 2026, 13:50 UTC≈4,100 views5 reactionsread 5 November 2026
Photo

OSOS is now on TikTok! Follow us there for more. https://www.tiktok.com/@osos_medical?_r=1&_t=ZS-9A8eHtLcZjM

❤5

Showing the 12 most recent of 41 posts we hold for @osos_med. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“OSOS- الطب البشري” (@osos_med), 6,167 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/osos_med.

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.