Channel
@courses_56
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
897subscribers
-30 since we began measuring on 23 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002616037864 |
|---|---|
| Type | Channel |
| Username | @courses_56 |
| Created | 4 April 2025 — measured — dated from the channel’s first post |
| First recorded | 23 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/courses_56 |
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 19 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 05:01 | 897 | -12 |
| 9 Sept 2026, 14:21 | 909 | -14 |
| 31 Aug 2026, 08:42 | 923 | -2 |
| 24 Aug 2026, 17:16 | 925 | -2 |
| 23 Aug 2026, 12:15 | 927 | first reading |
10 posts held, back to 4 April 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 7 April 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 4 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.
295 reactions across 8 posts, in 7 distinct kinds. The most used accounts for 66.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 195 | 66.1% | |
| ❤ | 84 | 28.5% | |
| 👍 | 9 | 3.05% | |
| 🌚 | 2 | 0.678% | |
| 💔 | 2 | 0.678% | |
| 🫡 | 2 | 0.678% | |
| 😍 | 1 | 0.339% |
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 8 of the 10 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 295 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 4 April 2025 to 7 April 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
0:00 ما المقصود باختبار الفرضيات 3:10 شروط الاختبارات 4:50 الاختبار الأول (متوسط عام معروف) 16:07 الاختبار الثاني (متوسط عينتين مرتبطتين) 21:39 الاختبار الثالث (متوسط عينتين مستقلتين) 28:32 الاختبار الرابع (متوسطات عينات عدة) ملاحظة: الشرح طلابي بشري قابل للخطأ 😁 فأي حدا بلاقي تناقضات بين المحاضرات او اخطاء يخبرني مشان ننبه بعض اذا في مفاهيم خاطئة 🌸🌷
🔥39❤22👍2🫡2😍1
🟢 المحاضرة الثالثة : جداول التقاطع crosstabs 0:00 مقدمة 1:05 أمثلة مع شرح مفهوم "جدول التقاطع" 3:39 كيفية تلخيص قيم جدول تقاطع مع قراءته 13:20 إخراج النتائج مصنفة بنسب مئوية 16:20 قراءة جدول النسب 23:37 تيست سريع عن الجدول 26:02 إعادة سريعة للجدول 27:50 دراسة وجود علاقة بين العلاج والشفاء
❤31🔥11👍1
🟢المحاضرة الثانية : الارتباط correlation 0:00 مقدمة 0:43 مقدمة عن الارتباط 1:46 أنواع الارتباط 4:39 الارتباط البسيط 5:32 معامل بيرسون 5:46 معامل سبيرمان 7:25 معامل كاندل تاو 8:13 فهم قيمة معامل الارتباط 12:10 حساب قيمة معامل الارتباط 12:50 حساب باستخدام بيرسون 13:04 نقاط مشتركة مهمة بين الانواع الثلاثة 22:35 حساب باستخدام سبيرمان 25:36 حساب باستخدام كاندل تاو 28:00 الارتباط الجزئي 32:05 الارتباط المتعدد
🔥42❤14👍3🌚2💔2
🟢المحاضرة الأولى : مدخل إلى برنامج SPSS 0:00 مقدمة 1:07 واجهة البرنامج 5:52 شرح ال variable view 20:30 الواجهة الثانية 21:00 تلخيص ومراجعة سريعة لما سبق 23:05 أنواع المتغيرات 26:05 فكرة مهمة جدا 27:18 مقاييس الاحصاء الوصفي 29:35 شرح explore 49:24 شرح descriptive 52:25 شرح frequencies 53:53 مراجعة سريعة للطرق الثلاث 55:38 الرسوم البيانية 56:15 الأشرطة البيانية bars 01:03:48 الخ…
🔥51❤13👍3
.
🔥7
.
🔥7
السلام عليكم ورحمة الله وبركاته في فكرة صار وقت تطبيقها بما انه الاحصاء قرب 📊📈📉 هي قناة اسمها courses 56 🗣وأي شخص بحب ينزل فيديوهات شرح لفكرة او تسجيلات تلخيص او اي شي مساعد للدراسة (ما عدا التجميعات😁) بيحسن يبعت وينزلها ورح انزل اول شي فيديوهات شرحت فيهم قسم الدكتورة تولين كبداية وهيك اي حدا عمل شي مفيد بيحسن يلاقي قناة انعملت لتنزيل الفيديوهات فيها طلاب دفعتنا 🫂 كمان ملاحظة صغيرة: اي حدا لازمه مساعدة بتصميم انت…
🔥22❤3
بسم الله الرحمن الرحيم 💚
🔥16❤1
Channel photo updated
Channel created
Showing the 10 most recent of 10 posts we hold for @courses_56. 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.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“56 courses” (@courses_56), 897 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/courses_56.
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.