4 measurements spanning 17 days, net +138. 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 172–906 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 18:19
395
+3
2 Sept 2026, 11:04
392
-429
26 Aug 2026, 07:12
821
+564
25 Aug 2026, 14:32
257
first reading
Engagement
15 posts held, back to 6 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
41.5%
avg views ÷ 395 subscribers
Avg views / post
164
1 post measured
Reaction rate
1.22%
reactions ÷ views · ER floor
Posts in window
1
of 15 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
Window
Rolling 30 days · latest post in window 24 August 2026
Posts held
15 (6 August 2026 – 24 August 2026)
Views total
164
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Aug 2026, 14:32 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
32 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 87.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
28
87.5%
💯
4
12.5%
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 14 of the 15 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 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 6 August 2026 to 24 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.
🔥 عرض تفليشي ما يتفوّت! 🔥
ورشة أساسيات المهارات التمريضية والمهارات الطبية العملية 🩺
💥 سعر الورشة فقط 10,000 دينار عراقي!
تدريب عملي على:
✅ سحب الدم الوريدي
✅ تركيب الكانيولا
✅ أساسيات إعطاء الأدوية
✅ قياس العلامات الحيوية
✅ المهارات الطبية والطوارئ
✅ مكافحة العدوى والسلامة
👥 والمجموعات إلهم خصم خاص 🔥
كلما زاد العدد، صار السعر أوفر!
📞 للحجز والاستفسار:
07877715070
📲 Telegram: @aamm_20a140BOT
لا تفوّت الفرصة… ت…
https://t.me/samr_nr7
أكاديمية الجيش الأبيض
📚 دورات تدريبية | ورشات عمل | كورسات تخصصية
✨ نرتقي بمهاراتكم نحو الأفضل
🎓 تدريب احترافي بإشراف كوادر متخصصة
🚀 معًا نحو التميز والتطوير المهني
أكاديمية الجيش الأبيض
"خطوتك الأولى نحو مستقبل أفضل"
🩺✨ ورشة أساسيات المهارات التمريضية والمهارات الطبية العملية ✨🩺
مو بس معلومات نظرية… تدريب عملي يخليك تتعلم المهارة وتطبقها بثقة 🔥
📚 محاور الورشة:
🩸 سحب الدم الوريدي
💉 تركيب الكانيولا الوريدية
💊 أساسيات إعطاء الأدوية وحساب الجرعات
🩺 قياس العلامات الحيوية وقراءة النتائج
🚑 أساسيات الطوارئ و CPR
🧤 مكافحة العدوى والسلامة الطبية
👨⚕️ تطبيق عملي وتصحيح الأخطاء أثناء التدريب
🎓 شهادة مشاركة + تدريب عملي مباشر
💰 سعر الورشة…
🚨 طلاب المرحلة الأولى، بعدكم محتارين بأي قسم تختارون؟
لا تختارون وأنتم محتارين! 👀
جرّب قبل لا تختار. 🔥
ورشة الأقسام والمحطات الأربعة مصممة حتى تعطيك فرصة تتعرف وتجرّب كل قسم، وتشوف طبيعة العمل والمحطات، وبعدها تختار القسم اللي تحس نفسك بيه بدون تردد أو حيرة. 🩺✨
مو بس شرح نظري…
تجربة + تعرّف + اختيار بثقة. 💙
إذا بعدك تكول:
«شنو أختار؟ أي قسم يناسبني؟» 🤔
تعال للورشة، جرّب الأقسام الأربعة بنفسك، وبعدها قرر. 🔥
📩 ال…
🚨 فعالية أنقذ المريض | SAVE THE PATIENT 🩺❤️
مو مجرد ورشة… 🔥
تجربة تدريبية عملية تخليك تتعلم شلون تقيم حالة المريض، تحلل النتائج، وتختار التدخل المناسب بالوقت المناسب.
🎯 4 محطات تدريبية متكاملة:
🩺 محطة التمريض — التقييم الأولي والعلامات الحيوية
🧪 محطة المختبرات — قراءة وتحليل الفحوصات
💉 محطة التخدير — مجرى الهواء والأوكسجين والتعامل مع الحالات الحرجة
💊 محطة الصيدلة — اختيار الأدوية وحساب الجرعات والاحتياطات
🔥 حالة …
🩺✨ ورشة أساسيات المهارات التمريضية والمهارات الطبية العملية ✨🩺
مو بس معلومات نظرية… تدريب عملي يخليك تتعلم المهارة وتطبقها بثقة 🔥
📚 محاور الورشة:
🩸 سحب الدم الوريدي
💉 تركيب الكانيولا الوريدية
💊 أساسيات إعطاء الأدوية وحساب الجرعات
🩺 قياس العلامات الحيوية وقراءة النتائج
🚑 أساسيات الطوارئ و CPR
🧤 مكافحة العدوى والسلامة الطبية
👨⚕️ تطبيق عملي وتصحيح الأخطاء أثناء التدريب
🎓 شهادة مشاركة + تدريب عملي مباشر
💰 سعر الورشة…
لجميع الطلبة تكون الورشة بسعر 35 الى يوم غدا هذا الخصم سارعو بالتسجيل والورشة حتكون يوم الاربعاء تنورونة بحضوركم✨
Signed ans.samr
Showing the 12 most recent of 15 posts we hold for @rryy200. 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 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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“𝑴𝒆𝒅𝑺𝒕𝒖𝒅𝒚” (@rryy200), 395 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/rryy200.
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.