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Channel

Research data

@AstroMedRT

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

679subscribers

+0 since we began measuring on 29 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002840401694
TypeChannel
Username@AstroMedRT
Description@abdalla7ibysh
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 August 2026
Last confirmed live29 August 2026
Measurements held2
On Telegramt.me/AstroMedRT

Growth

67929 Aug 2026, 20:15 — 679 subscribers29 Aug 2026, 20:30 — 679 subscribers29 Aug 2026, 20:1529 Aug 2026, 20:30
2 measurements taken within a single day. 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 678–680 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 20:30679no change
29 Aug 2026, 20:15679first reading

Engagement

20 posts held, back to 2 March 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
60.3%
avg views ÷ 679 subscribers
Avg views / post
409
6 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
6
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 9 August 2026
Posts held20 (2 March 20269 August 2026)
Views total2,455
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 20:30 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
1
Videos
16
Links
4

Lifetime counters from Telegram’s own channel header, read 29 August 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
37m 13s
Average length
7m 27s

Measured directly from 5 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

200 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 89.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17989.5%
🔥147.00%
👏73.50%

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 200 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 2 March 2026 to 9 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.

Recent posts

9 Aug 2026, 06:06 UTC206 views3 reactionsread 29 August 2026

معادله ال R² هنحتاج آله حاسبه هو الموضوع بسيط يعنى لو اداك R² و طلب r هاخد الجذر ، فلو حد فى مقدرته يجيب هات لكن إن شاء الله اللى هتيجى 0.81 > ±9 1 > ±1

3

9 Aug 2026, 05:53 UTC215 views3 reactionsread 29 August 2026

اسئلة جت لزمايلنا فى حكومى من الترم الاول C in PICO : Comparison or control Definition of EBM Primary goal of EBM Emphasis of EBM بصوا علي EBM ضرورى⭐️ Forest plot >>Odds ratio ⭐️

3

9 Aug 2026, 05:47 UTC205 views3 reactionsread 29 August 2026

خلوا بالكم من المصطلحين دول الاتنين مختلفين تماما r = correlation coefficient R² = coefficient of determination

3

9 Aug 2026, 05:45 UTC195 views4 reactionsread 29 August 2026
Voice message

شرح للفكره العامه لل correlation and regression عشان كذا حد مش فاهم الموضوع بعد ما تسمعوه شوفوا اسئلة الملف ( عندكم وقت بعد امتحان الجراحه و الباطنه أن شاء الله هتلحقوا )

4

8 Aug 2026, 20:32 UTC≈1,440 views13 reactionsread 29 August 2026
File

⚠️⚠️ MCQ 2nd term الملف ده حطيت فيه كل معلومه مهمه احتمال تيجى فى الامتحان ان شاء الله - اسئلة بعد كل محاضرة ( مهمه جدا و هتيجى أن شاء الله) - اسئلة امتحان زمايلنا فى حكومى اللى امتحنوا النهاردة - اسئلة ليها علاقه بمحاضراتنا من امتحان زمايلنا السنه اللى فاتت - اسئلة مهمه لازم تكون عارفها عن كل محاضرة - معلملك فى كل سؤال اى ال key word اللى لازم تكون عارفها عشان تجاوب طريقه د اشرف بناءا على الترم الاول ٨٠٪ بتكون عايزه

12👏1

7 Aug 2026, 11:30 UTCviews —

Research data pinned «Research 4th year ذاكر اللى عليه نجمه 🥸 File 2nd term ⭐️⭐️ MCQ 2nd term ⭐️⭐️ MCQ NINU 1st term ⭐️ (Edited File) File 1st term د اشرف عن الامتحان : معظم الأسئلة باذن الله هتكون من محاضرات الترم الثاني و لكن في أسئلة هتكون من الترم الاول و لكن مش كتير لان…»

7 Aug 2026, 11:25 UTC≈1,310 views21 reactionsread 29 August 2026
File

بما اننا هنمتحن على الترم الاول بردو فعلمتلكم فى الملف اى الاسئلة اللى جتلنا الترم الاول ب Highlighter و علامه ( Q ) و دى كانت كل الاسئلة اللى كانت جتلنا فلو ملحقتش تذاكر الترم الاول ( لا قدر الله يعنى 😂 ) متدخلش من غير الاسئلة دى

21

7 Aug 2026, 09:15 UTC431 views14 reactionsread 29 August 2026

سلام عليكم مقرر علينا ال ٣ محاضرات بتوع الترم الاول دى الرساله من دكتور اشرف : معظم الأسئلة باذن الله هتكون من محاضرات الترم الثاني و لكن في أسئلة هتكون من الترم الاول و لكن مش كتير لان الاختبار على السنة كلها و سبق اني وضحت لهم ذلك - فمعاكم ملف الترم الاول فيه EBM > systemic Review > meta analysis

13👏1

6 Aug 2026, 22:18 UTC≈2,010 views33 reactionsread 29 August 2026
File

سلام عليكم ازيكم يا شباب - ده كده ملخص الريسيرش فيه ٣ محاضرات بتوع الترم التانى المرادى معملتش ديزاين للملف و لكن اهتميت أن المحتوى يبقى خفيف و سهل و يتفهم بسرعه و يركز على الامتحان و لو فيه وقت هضيف ملحوظات بالعربى للتسهيل إن شاء الله. - الترم ده علينا ٣ محاضرات اخدناهم خلال الترم بالنسبه لمحاضرات الترم الاول فالدكتور قال إنها احتمال تييجى و لكن عقبال ما نتأكد من الدكاتره المقررين معاكم الملف ده دلوقتي لحد ما نعرف

29👏4

6 Aug 2026, 21:35 UTC447 views13 reactionsread 29 August 2026

Research summary Loading ... ⏳🔥

🔥111👏1

2 Mar 2026, 03:00 UTC≈5,770 views13 reactionsread 29 August 2026

Research 4th year ذاكر اللى عليه نجمه 🥸 File 2nd term ⭐️⭐️ MCQ 2nd term ⭐️⭐️ MCQ NINU 1st term ⭐️ (Edited File) File 1st term د اشرف عن الامتحان : معظم الأسئلة باذن الله هتكون من محاضرات الترم الثاني و لكن في أسئلة هتكون من الترم الاول و لكن مش كتير لان الاختبار على السنة كلها و سبق اني وضحت لهم ذلك Vedios 1st term: 1. EBM 1 , 2 2. Systemic Review 3. Meta analysis • Extra MCQ (اسئلة كنت بحل منها في فيديوهات الشرح

13

Showing the 12 most recent of 20 posts we hold for @AstroMedRT. 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 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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“Research data” (@AstroMedRT), 679 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/AstroMedRT.

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.