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Channel

R-RAY

@r_ray313

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

9,421subscribers

-129 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-1001567848101
TypeChannel
Username@r_ray313
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/r_ray313

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 11 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

9,4219,5509,485.57 August 2026 — 9,550 subscribers8 August 2026 — 9,549 subscribers11 August 2026 — 9,542 subscribers15 August 2026 — 9,534 subscribers18 August 2026 — 9,525 subscribers21 August 2026 — 9,513 subscribers25 August 2026 — 9,495 subscribers28 August 2026 — 9,493 subscribers31 August 2026 — 9,486 subscribers3 September 2026 — 9,471 subscribers8 September 2026 — 9,449 subscribers12 September 2026 — 9,429 subscribers16 September 2026 — 9,421 subscribers7 August 202616 September 2026
13 measurements spanning 39 days, net -129. 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 9,402–9,569 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 06:579,421-8
12 Sept 2026, 17:229,429-20
8 Sept 2026, 10:189,449-22
3 Sept 2026, 15:389,471-15
31 Aug 2026, 08:229,486-7
28 Aug 2026, 02:049,493-2
25 Aug 2026, 02:389,495-18
21 Aug 2026, 14:379,513-12
18 Aug 2026, 03:129,525-9
15 Aug 2026, 00:389,534-8
11 Aug 2026, 13:349,542-7
8 Aug 2026, 18:219,549-1
7 Aug 2026, 23:159,550first reading

Engagement

12 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 31 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.8%
avg views ÷ 9,421 subscribers
Avg views / post
1,300
4 posts measured
Reaction rate
0.289%
reactions ÷ views · ER floor
Posts in window
4
of 12 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 25 August 2026
Posts held12 (17 July 202625 August 2026)
Views total5,184
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 06:02 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
1m 33s
Average length
31s

Measured directly from 3 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

64 reactions across 11 posts, in 2 distinct kinds. The most used accounts for 93.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6093.8%
👍46.25%

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 11 of the 12 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 64 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 17 July 2026 to 25 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

25 Aug 2026, 11:56 UTC586 views1 reactionsread 29 August 2026
Forwarded from @medserra_iq

https://script.google.com/macros/s/AKfycbw4HBFIlV1UrZ9gZtzNhWGel0C3KGcb1H03gE8HfWvZfGjGzjk4CMxg25VjlNEZ8ZxQ/exec رابط تسجيل الورشة المجانية

1

25 Aug 2026, 11:51 UTC611 views3 reactionsread 29 August 2026
Forwarded from @medserra_iqVideo

تعلن أكاديمية Medserra عن فتح باب التسجيل للورشة التدريبية المجانية! الورشة مخصصة لمجالات: التخدير، الأشعة، والمختبرات الطبية. تتضمن الورشة ثلاثة محاور أساسية لتطوير مهاراتكم السريرية: 1️⃣ المحور الأول: التصوير الطبي وكيفية التعامل مع الأجهزة الحديثة. 2️⃣ المحور الثاني: التعامل مع المريض وتحضيره لصالات العمليات، والتعرف على الأدوية والمعدات المستخدمة. 3️⃣ المحور الثالث: الفحوصات المختبرية والطرق الصحيحة لسحب الدم.

3

23 Aug 2026, 11:54 UTC837 views3 reactionsread 29 August 2026
Forwarded from @medserra_iqVideo

⁨ إعادة تعريف التعليم الطبي بمعايير حديثة. تجمع منصة Medserra بين الذكاء الاصطناعي، المحاكاة السريرية، والمراجع الطبية المعتمدة لتطوير الكفاءة السريرية للكوادر والطلبة. قريباً.. الإطلاق الرسمي في العراق. https://www.instagram.com/reel/DcYMewJIrlp/?igsi=NHF3Y3duNnBrNGRh الاستفسار: واتساب: 9647740800077+ تيليجرام: medserra@

3

22 Aug 2026, 09:17 UTC≈3,150 views8 reactionsread 29 August 2026

قال الإمام الصادق (عليه السلام): "كونوا دعاةً لنا بغير ألسنتكم، ليروا منكم الورع والاجتهاد والصلاة والخير، فإنّ ذلك داعيةٌ". 🎓 من هذا النهج الحسيني العظيم، انطلقت منصة R-RAY التعليمية بالتعاون مع فريق النبض الطبي، لتجسّد رسالة العلم والخدمة والعمل التطوعي في طريق الإمام الحسين (عليه السلام). 🎥 من داخل أروقة قصر الثقافة والتنمية الدولية، توثّق عدستنا لحظاتٍ نابضة بالعطاء والإيثار، لفرقٍ آمنت أن العلم والخدمة وجهان ل

8

13 Aug 2026, 17:11 UTC≈1,960 views14 reactionsread 29 August 2026
Photo

هويتنا الجديدة من صميم تخصصنا. الأسود والأبيض هما لغة الصورة الطبية؛ من تدرجات الأشعة إلى تفاصيل صور السونار، حيث تتحول الظلال والتباين إلى معلومات تساعد على التشخيص. ومن هنا جاءت الهوية البصرية الجديدة لمنصة R-RAY التعليمية؛ بسيطة، R-RAY | Education through Imaging.

12👍2

12 Aug 2026, 16:22 UTC≈1,340 views2 reactionsread 29 August 2026
Forwarded from @medserra_iqPhoto

مبادرة أكاديمية لدعم التفوق العلمي لأن التميز العلمي يبدأ بخطوة، ولأن الاستثمار بالطالب هو استثمار بالمستقبل، تقدم Medserra خصمًا خاصًا بنسبة 25% للطلبة الأوائل على جميع برامجها التدريبية التخصصية. يشمل الخصم برامج التدريب في: التخدير | التحليلات المرضية | الأشعة 🎓 آلية الاستفادة من الخصم: أرسل صورة من نتيجتك الرسمية عبر رسائل الصفحة، واحصل على مقعدك بالخصم المخصص لك. Medserra حيث تتحول المعرفة إلى ممارسة، والطمو

2

8 Aug 2026, 14:43 UTC≈2,340 views11 reactionsread 29 August 2026
Photo

برعاية رسمية من كلية التقنيات الصحية والطبية / بغداد – الجامعة التقنية الوسطى، يُقام الملتقى الثاني للأشعة وتقنيات التصوير الطبي الحديثة، ليشكّل مساحة علمية متخصصة تجمع المعرفة بالتطبيق، وتسهم في مواكبة التطورات الحديثة في مجالات الأشعة والتصوير الطبي. تأتي مشاركة الكلية دعمًا للطلبة والخريجين، وإسهامًا في تطوير مهاراتهم وتعزيز خبراتهم العلمية والمهنية، وفتح آفاق أوسع أمامهم للاطلاع على أحدث التقنيات والممارسات في ه

11

7 Aug 2026, 15:51 UTC≈1,620 views7 reactionsread 29 August 2026
Forwarded from @medserra_iqVideo

تعلن أكاديمية Medserra التعليمية عن انطلاق كورس الأشعة والتصوير الطبي، ببرنامج تدريبي عملي مكثف يهدف إلى تطوير المهارات وربط المعرفة الأكاديمية بالتطبيق السريري. تفاصيل الكورس: مدة الكورس: شهر واحد، بواقع يومين أسبوعياً الساعات التدريبية: 40 ساعة تدريبية عملية الشهادة: شهادة اجتياز رسمية معتمدة من الأكاديمية والمستشفى ووزارة الصحة العراقية المحاور التدريبية: أساسيات X-Ray والفيزياء الطبية للتصوير، وضعيات وفحوصات الصد

7

19 Jul 2026, 16:27 UTC≈2,380 views5 reactionsread 29 August 2026
Photo

تغطية صورية | الدورة التدريبية في المستشفى الألماني الأهلي ​في إطار السعي المستمر لتطوير المهارات العملية للكوادر الطبية، نظمت منصة R-RAY التعليمية بالتعاون مع أكاديمية Medserra دورة تدريبية متخصصة في رحاب المستشفى الألماني الأهلي. ​نضع بين أيديكم مجموعة من اللقطات التي توثق الأجواء العلمية والتطبيق العملي للمشاركين، والتي تعكس مدى التفاعل والحرص العالي على الارتقاء بمستوى الأداء التقني في مجال الأشعة والتصوير الطبي.

5

18 Jul 2026, 16:51 UTC≈2,060 views8 reactionsread 12 August 2026
Photo

حين يلتقي العلم بالابتكار، تبدأ رحلة التميّز. يسر فريق R-RAY أن يعلن عن اقتراب انطلاق الملتقى الثاني للأشعة والتصوير الطبي، والذي يجمع نخبةً من الأكاديميين والمختصين والطلبة؛ في منصة علمية تهدف إلى تبادل المعرفة، واستعراض أحدث التطورات، وتعزيز المهارات المهنية في مجال الأشعة والتصوير الطبي. كونوا على الموعد مع تجربة علمية استثنائية، ومحاضرات نوعية، ومحاور تواكب التطور المتسارع في هذا التخصص الحيوي. قريبًا | خلال ش

8

17 Jul 2026, 17:34 UTC≈1,720 views2 reactionsread 12 August 2026
Photo

حصاد التميّز | ختام رحلة التدريب الصيفية في عالم الأشعة ​بفضل الله وتوفيقه، اختتمت منصة R-RAY التعليمية بالتعاون مع أكاديمية Medserra التعليمية فعاليات كورس "رحلة التدريب الصيفية في عالم الأشعة" بنجاح متميز. ​محطات من الكورس: ​40 ساعة تدريبية مكثفة جمعت بين التعليم الشامل والتطبيق العملي. ​تأهيل متكامل للطلبة والخريجين على أحدث تقنيات وأسرار التصوير الطبي. ​شهادات معتمدة مُنحت للمشاركين لدعم سيرتهم الذاتية ومسيرتهم ا

👍2

Showing the 12 most recent of 12 posts we hold for @r_ray313. 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

@r_ray313 edited 1 post 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
12 August 2026
Most recent edit
12 August 2026

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

الامتحان التقويمي
@Drnaeemyasir · 56,605
Telegram ranks this channel #31 of 91 here — alongside 90 others — read 23 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“R-RAY” (@r_ray313), 9,421 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/r_ray313.

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.