Channel
@ll3noor
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,571subscribers
-36 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002907297072 |
|---|---|
| Type | Channel |
| Username | @ll3noor |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/ll3noor |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 09:39 | 2,571 | -29 |
| 3 Sept 2026, 06:44 | 2,600 | +16 |
| 30 Aug 2026, 15:44 | 2,584 | -6 |
| 27 Aug 2026, 08:06 | 2,590 | -6 |
| 20 Aug 2026, 08:03 | 2,596 | -7 |
| 16 Aug 2026, 22:16 | 2,603 | -4 |
| 16 Aug 2026, 06:00 | 2,607 | first reading |
14 posts held, back to 2 April 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 21 May 2026. An engagement rate over an empty window would be a number about nothing.
51 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 62.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 32 | 62.7% | |
| 💯 | 8 | 15.7% | |
| 🔥 | 7 | 13.7% | |
| 👏 | 3 | 5.88% | |
| ⚡ | 1 | 1.96% |
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 13 of the 14 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 51 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 2 April 2026 to 21 May 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.
✨ تهكير مراجعة ليلة الامتحان ✨فصل ثالث احياء ✨3 ورقات فقط 😎 ✨شاملة لكافة الافكار حسب الترتيب ✨ليلة امتحانك راح تفعل شخصية الهكر وية ملفاتي فقطططط😉 ✨ هنا الفصل الثاني https://t.me/misnoor100/22504 هنا الفصل الاول https://t.me/misnoor100/22479 روووح اسسسسحبهن و اضمن اقوووووى درجة بالاحياء ب 9 ورقات فقط😇
💯8❤5
✨||دورة الـمـرشـحـات هذه الدورة استثنائية مختلفة عن كل الدورات ... المادة اللي تريد مرشحاتها تتقسم كل يوم فصلين تنزل الك #المرشحات بدون اجوبة الصبح ب7 تروح تقرا المرشحات على #مصدرك_الخاص سواء محاضرات أو ملازم و احنه بالليل من ساعة 9 الى 12 نسويلك #امتحان بيهن و #نصححلك اجوبتك و الجواب الخطأ نعلمك على إجابته الصح ☑متوفرة هذه الدورة للمواد الآتيه:- 🤔إسلامية+أدب عربي 🤔كلاميات فيزياء 🤔كلاميات كيمياء 🤔أحياء 🤔انگليزي …
❤4
✨مراجعـــ100ــات الضمان ✨ 700 درجة بين ايدك .. انت بأمان مع نور باجلان مراجعة الأدب العربي ضمان40/40 ⬅️اضغط مراجعة القواعد التهكيرية 40/40 ⬅️ اضغط مراجعة الانگليزي ضمان 100/100 ⬅️ اضغط مراجعة الاحياء ضمان 100/100 ⬅️اضغط الفيزياء كلاميات تفصيلي درجة كاملة ⬅️اضغط الفيزياء الاعتماد ليلة الامتحان الضمان ⬅️اضغط مراجعة مسائل الفيزياء درجة كااملة ⬅️اضغط مراجعة الكيمياء ضمان ال100% ⬅️اضغط مراجعة الرياضيات ضمان 100% ⬅️اضغط …
❤1
🤍الثلاثي الوزاري الثابت بورقة واحدة 🤍 ملخصات فان ليفنهوك نور باجلان 🎲الحشرات🎲الضفدع🎲الانسان 🤍ثابت من 6 الى 10 درجات 🤍 #شاركوا_القناة_للفائدة 🤍 @misnoor100
🌳ملخصات فان ليفنهوك/أحياء ف3 الملخص التهكيري للتكاثر في النباتات الزهرية ... هذا الموضوع مهم جدااااا جدااا و ثابت من ثوابت الفصل الثالث و الملخص راح يسهل عليك حفظ المهمات... 💡صفحة واحدة فقططط ✨ #شارك_القناة 🫶
❤4
✨ملخصات فان ليفنهوك نور باجلان✨ 👍ملخص السداسي المرح 👍احياء فصل3 👍ورقة واحدة فقط فيروسات/بكتريا/براميسيوم/يوغلينا/كلاميدوموناس/فطريات #شاركوا_القناة_للفائدة 📢|| @misnoor100
✨ملخصات فان ليفنهوك/نور باجلان✨ ✨النسيج الضام بورقة واحدة ✨10 الى15 درجة خليها ضمانك 👍||@misnoor100
❤1
✨العبارات المهمة و المرشحة في الاحياء..... يرجى الانتباه و التركيز عليها لانها مرشحة و تأتي بأكثر من صيغة في الوزاري .. كفراغات او تعداد او وظيفة او موقع او اهمية .... للفصل الاول و الثاني و الثالث 👍||@misnoor100
✨إختيارات اسئلة الفصل للاحياء و أهميتها في الاسئلة الوزارية ...للفصل الاول و الثاني و الثالث ☑||@misnoor100
❤5
✨✨للتنبيه :- درجة اول 3 فصول للاحياء هذه السنة تتراوح ما بين 105 الى 115 درجة @misnoor100
❤7👏3
⭐️ملخصات فان ليفنهوك للأحياء⭐️ 🎁 المـلخـص التذكيري للفصل الأول 🕓إسلوب التذكير التباعدي 📔 #الاستاذة_نور_باجلان #شاركوا_القناة_للفائدة 🌟@misnoor100
🔥5❤3⚡1
💠تابع قناة قناة الاستاذة نور باجلان في واتساب: ⤵️⤵️⤵️ https://whatsapp.com/channel/0029VbCO39OF1YlbVhHtNo2V
Showing the 12 most recent of 14 posts we hold for @ll3noor. 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.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“احياء السادس علمي” (@ll3noor), 2,571 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/ll3noor.
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.