3 measurements spanning 10 days, net -1. 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 81–82 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 05:59
81
-1
10 Sept 2026, 15:23
82
no change
8 Sept 2026, 21:47
82
first reading
Engagement
17 posts held, back to 25 July 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
155.2%
avg views ÷ 81 subscribers
Avg views / post
126
4 posts measured
Reaction rate
4.70%
reactions ÷ views · ER floor
Posts in window
4
of 17 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 2 of 4 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 September 2026
Posts held
17 (25 July 2026 – 7 September 2026)
Views total
503
Reactions total
14
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Sept 2026, 15:23 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
13s
Average length
13s
Measured directly from 1 video 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
44 reactions across 6 posts, in 9 distinct kinds. The most used accounts for 22.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
10
22.7%
😭
9
20.5%
👍
7
15.9%
🎉
6
13.6%
😱
4
9.09%
❤🔥
3
6.82%
👏
3
6.82%
😢
1
2.27%
🥰
1
2.27%
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 6 of the 17 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 44 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 25 July 2026 to 7 September 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.
يسر كلية الحاسوب وتكنولوجيا المعلومات وملتقى الطالب الجامعي دعوتكم لحضور معرض نواة 2026 المعرض الطلابي الأول لمشاريع إنترنت الأشياء والذي يقيمه طلاب قسمي علوم الحاسوب وتكنولوجيا المعلومات
تحت شعار من الفكرة إلى نموذج يعمل
كل شيء ذكي يبدأ من نواة
فكرة صغيرة تنمو تتصل وتتحول إلى ابتكار يصنع المستقبل
في معرض نواة لإنترنت الأشياء نأخذكم إلى عالم تتحدث فيه الأجهزة وتتصل فيه الأفكار وتصبح الحلول أكثر ذكاء
مشاريع مبتكرة…
استمارة المناقشة النهائية للمشروع
تبداء المناقشات من الاسبوع القادم للجاهزين
على كل جروب طباعة الاستمارة قبل المناقشة ولن يتم مناقشة اي جروب بدون استمارة
يا مولدا بين الموالد أجمل
بولادة المختار طبت نسيما
بالله يا أهل المحبة فافرحوا
صلوا عليه وسلموا تسليما
اللهم صلِّ على سيدنا محمد طب القلوب ودوائها وعافية الأبدان وشفائها ونور الأبصار وضيائها وعلى آله وصحبه وسلم تسليمًا كثيرًا
تكليف مقرر التعلم المعزز (Reinforcement Learning)
عنوان التكليف
بناء وكيل ذكي للوصول إلى الهدف باستخدام خوارزمية Q-Learning
وصف التكليف
قم بتنفيذ مشروع عملي يهدف إلى تطبيق مفاهيم التعلم المعزز (Reinforcement Learning) باستخدام خوارزمية Q-Learning.
في هذا المشروع ستقوم ببناء بيئة بسيطة على شكل شبكة Grid، يتحرك فيها وكيل ذكي Agent من نقطة بداية محددة إلى نقطة هدف، مع وجود مجموعة من العوائق التي يجب عليه تجنبها.
ي…
Machine Learning pinned «تنبية هام :- هذا الملف هو بنك الأسئلة الخاص ب الاختبار النصفي النظري ل مقرر تعلم الآلة موعد الاختبار الأسبوع القادم ( الاسبوع السابع ) في محاضرات النظري لن تخرج أسئلة الإختياري عن هذا البنك بالنسبة للسؤال المقالي سيكون هناك سؤالين مقالي من نفس المفاهيم…»
Showing the 12 most recent of 17 posts we hold for @IS27_ML. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 17 most recent posts we hold, published 25 July 2026 to 7 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Machine Learning” (@IS27_ML), 81 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/IS27_ML.
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.
