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 70–72 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 01:03
71
no change
12 Aug 2026, 12:48
71
first reading
Engagement
20 posts held, back to 17 July 2025 — 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
80.8%
avg views ÷ 71 subscribers
Avg views / post
57.3
6 posts measured
Reaction rate
4.12%
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. It is computed over the 3 of 6 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
20 (17 July 2025 – 7 August 2026)
Views total
344
Reactions total
7
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 12:48 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
1h 39m
Average length
16m 32s
Measured directly from 6 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
26 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 92.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
24
92.3%
👍
2
7.69%
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 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 26reactions 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 17 July 2025 to 7 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.
بعد شغلة، أي بحث تدخلون عليه اذا مثلاً بس الAbstract موجودة و البحث كامل ماكو و من قريتوا الAbstract شفتوا انه كلّش يناسب موضوعكم و يفيدكم هذا البحث فبهاي الحالة وية اسماء الباحثين، الباحث الي يم اسمه هاي العلامة فهذا هو الcorresponding author اذا ضغطتوا على اسمه حيطلعلكم الايميل مالته تكَدرون تراسلوه حتى يدزلكم البحث كامل، و الأجانب خاصةً يجاوبون عادي و يدزون رأساً
هذا الاستاذ عالانستا بهذا المقطع يحجي شلون تحصلون رسائل و اطاريح من موقع بس يكون تراسلوه و يدزلكم رابط الموقع
https://www.instagram.com/reel/DbVxKOkogXf/?igsh=MTRyMGZ6bXN0NWt1cQ==
هذا الفديو حجيت بي عن الliterature review شلون تكتبوها
اكو موقع مهم تحصلون منه مصادر مذكرته الي هو sci-hub و sci bot
و همّين ممكن تسألون chat GPT او Gemini ينطوكم مصادر عن أي شي تريدوه و وراها تنسخون العنوان الي ينطوه و تحطّوه بGoogle او PubMed و حيطلعلكم المصدر
أي احّد حيكون موضوع رسالته Genetic و حيشتغل على سنبات فهذا يفيدكم الفديو، حجيت بي عن الNCBI و شلون تختارون السنبات و شلون تصممون البرايمرات و تتأكّدون من عدها سواء حتشتغلون DNA و PCR عادي او gene expression (من الدقيقة 30 حجيت على الgene expression شلون يصممون البرايمر)
و اكو اجراء هذا بدوا بي من هالسنة ويانه انه من تبدي السنة البحثية كل 6 أشهر يدزّون عليكم هم تجون تقدمون presentation تحجون عن الي اشتغلتوا خلال الفترة الفاتت و وين وصلتوا بالبحث
بعد المناقشة و التعديلات الي حيقترحوها اللجنة عالخطة لازم تسوون هاي التعديلات و ترجعون تسحبون الخطة و تودوها يوقّعها المُشرف و انتوا هم توقعون و تودّوها للمُقررية بعدها تبدون بالشغل مالتكم، حاولوا تسوون الpresentation بالعطلة و اوّل ما يبدي الدوام روحوا راساً من اوّل يوم سلموا الخطة حتى اوّل ما يقرّون اللجنة رأساً تحددون يوم للمناقشة بلكت بثاني اسبوع من بداية الدوام حتى تبدون الشغل من وكت لأنه كل ما تتأخرون بهاي الاج…
هلو شلونكم
بما انّه خلّصتوا الامتحانات و استلمتوا النتائج فهسة What next؟
حيدزّولكم قائمة مال عناوين البحوث و المشرفين و ينزلون استمارة تملوها ب3 اختيارات و تسلموها بعدها حينزلون قائمة بيها كل طالب و العنوان الي طلعله و المشرف و حينزلون استمارة مال خطة البحث طبعاً هاي حسب المُشرف اكو يخلّوكم انتوا تكتبوها و اكو همَّ يملوها، بكل الاحوال هاي من تبدي السنة الدراسية الجديدة تروحون تسلموها للمقررية حتى يسوون لجنة الكل طال…
ماستر pinned «روابط مواد الكورس الثاني (بما انّه مبقى من المواد الأساسية غير الاحصاء و المنهجية فاوّل شي خلّيت روابطهن و سوّيتهن bold والبقية "مناعة و وراثة" معليكم بيها بقّيتهن علمودي مرّات أحتاجهن ملفّات ملازم الاحصاء https://t.me/m19ter/356 فديوات شرح الاحصاء htt…»
Showing the 12 most recent of 20 posts we hold for @m19ter. 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.
Citation-graph rank
Citation-graph rank — 1,314,413 of 1,480,975entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“ماستر” (@m19ter), 71 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/m19ter.
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.