https://youtu.be/sTV7b1dVe0Q?si=zDhgxLq4pyj5DjtV شاهد على يوتيوب
❤2⚡1🔥1😘1🙏1
Signed ⁿᵘʳˢᵉ. ᗷᗩᕼᗩᗩ✨

Channel
@Terminologyes
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
9,078subscribers
+236 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001402655718 |
|---|---|
| Type | Channel |
| Username | @Terminologyes |
| Description | تهدف القناة إلى زيادة الوعي الصحي وتوفير معلومات دقيقة تعتمد على الأبحاث والدراسات، وذلك لتعزيز فهم المصطلحات الطبية والمساعدة في اتخاذ قرارات صحية مستنيرة.{تمريض،مساعد طبيب،صيدله... طب عااام} للتواصل-» T.me/VIP_646 |
| Created | Between 1 February 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/Terminologyes |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 22:04 | 9,078 | +14 |
| 1 Nov 2026, 18:51 | 9,064 | +22 |
| 29 Oct 2026, 19:06 | 9,042 | -8 |
| 26 Oct 2026, 20:00 | 9,050 | +38 |
| 23 Oct 2026, 16:27 | 9,012 | +7 |
| 20 Oct 2026, 10:20 | 9,005 | +8 |
| 17 Oct 2026, 17:10 | 8,997 | +58 |
| 14 Oct 2026, 12:59 | 8,939 | -11 |
| 10 Oct 2026, 19:17 | 8,950 | +10 |
| 4 Oct 2026, 23:17 | 8,940 | +25 |
| 26 Sept 2026, 02:00 | 8,915 | +42 |
| 17 Sept 2026, 17:41 | 8,873 | +4 |
| 14 Sept 2026, 01:19 | 8,869 | +7 |
| 10 Sept 2026, 09:17 | 8,862 | -9 |
| 5 Sept 2026, 11:55 | 8,871 | +6 |
| 1 Sept 2026, 16:39 | 8,865 | -1 |
| 29 Aug 2026, 06:25 | 8,866 | +2 |
| 26 Aug 2026, 15:33 | 8,864 | -1 |
| 23 Aug 2026, 08:58 | 8,865 | +13 |
| 20 Aug 2026, 00:23 | 8,852 | first reading |
75 posts held, back to 3 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 42 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 21 October 2026 |
|---|---|
| Posts held | 75 (3 August 2026 – 21 October 2026) |
| Views total | 430 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 10:15 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.
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
359 reactions across 75 posts, in 27 distinct kinds. The most used accounts for 19.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 70 | 19.5% | |
| 😁 | 27 | 7.52% | |
| 😘 | 24 | 6.69% | |
| 🕊 | 23 | 6.41% | |
| 🥰 | 23 | 6.41% | |
| 🎉 | 21 | 5.85% | |
| 🔥 | 19 | 5.29% | |
| 😍 | 19 | 5.29% | |
| ❤🔥 | 16 | 4.46% | |
| 💯 | 16 | 4.46% | |
| 🤩 | 15 | 4.18% | |
| 👍 | 13 | 3.62% | |
| 👏 | 13 | 3.62% | |
| 🐳 | 11 | 3.06% | |
| ⚡ | 10 | 2.79% | |
| 😎 | 8 | 2.23% | |
| 🗿 | 6 | 1.67% | |
| 🙈 | 6 | 1.67% | |
| 🤯 | 6 | 1.67% | |
| 😭 | 3 | 0.836% | |
| 7 further kinds | 10 | 2.79% |
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 75 of the 75 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 359 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 75 most recent posts we hold, published 3 August 2026 to 21 October 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.
Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
https://youtu.be/sTV7b1dVe0Q?si=zDhgxLq4pyj5DjtV شاهد على يوتيوب
❤2⚡1🔥1😘1🙏1
Signed ⁿᵘʳˢᵉ. ᗷᗩᕼᗩᗩ✨
انعدام الدماغ (Anencephaly) تشوه خلقي خطير يحدث في الأسابيع الأولى من الحمل نتيجة عدم انغلاق الجزء العلوي من الأنبوب العصبي، مما يمنع تكوّن عظام الجمجمة وأجزاء واسعة من الدماغ. ويُعد نقص حمض الفوليك السبب الرئيسي للإصابة بها، بينما يُعتبر تناول مكملاته وسيلة الوقاية الأساسية. تُعد الحالة مميتة، وغالباً ما يتوفى الطفل بعد الولادة بساعات أو أيام قليلة. MedNurse | مصطلحات طبية 🔗 https://t.me/Terminologyes
❤6🤯4😭3🎉1🔥1😁1😎1
Signed ⁿᵘʳˢᵉ. ᗷᗩᕼᗩᗩ✨
القناه دي فيها ملخصات لمعظم مصطلحات وموضوعاتنا للناس اللي حابه تأكد على معلوماتها هتفيدهم جدا لكل ينضم
❤2🎉2💔2😍1
Signed [🫀]
تابع قناة طالب في واتساب: https://whatsapp.com/channel/0029VbCNRdFLtOj3v1tK4X1j
🎉1🤩1🤯1🥰1😁1
Signed [🫀]
حكينا اليوم من مادة المصطلحات الطبية عن خمس مصطلحات *Roots* (الجذور) خمس مصطلحات *Prefixes* (البوادئ) خمس مصطلحات *Suffixes* (اللواحق) ان شاء الله تكونوا استفدتوا وفهمتوا الفكرة المصطلح صار سهل لما نفككه يعطيكم ألف عافية ونشوفكم في الشرح الجاي💙
❤3❤🔥1🎉1🤗1😁1😍1
Signed [🫀]
*المصطلحات اللواحق (Suffixes)* *1- التهاب* *اللاحقة:* *-itis* *النطق:* *ايتيس* *انجليزي:* *Inflammation* *المثال:* *Nephritis = نيفرايتس = التهاب كلية* *2- استئصال* *اللاحقة:* *-ectomy* *النطق:* *اكتومي* *انجليزي:* *Removal* *المثال:* *Nephrectomy = نيفريكتومي = استئصال كلية* *3- علم* *اللاحقة:* *-ology* *النطق:* *أولوجي* *انجليزي:* *Study of* *المثال:* *Cardiology = كارديولوجي = علم القلب* *4- في الد…
❤1🕊1🗿1🤣1😁1🙈1
Signed [🫀]
*المصطلحات البوادئ (Prefixes)* *1- بطيء* *البادئة:* *Brady-* *النطق:* *برادي* *انجليزي:* *Slow* *المثال:* *Bradycardia = براديكارديا = بطء القلب* *2- سريع* *البادئة:* *Tachy-* *النطق:* *تاكي* *انجليزي:* *Fast* *المثال:* *Tachycardia = تاكيكارديا = سرعة القلب* *3- زيادة* *البادئة:* *Hyper-* *النطق:* *هايبر* *انجليزي:* *High / Above* *المثال:* *Hypertension = هايبرتينشن = ضغط عالي* *4- نقص* *البادئة:* …
❤3❤🔥1🌚1🐳1🤩1
Signed [🫀]
*المصطلحات (Root)* *1- القلب* *الجذر:* *Cardi/o* *النطق:* *كارديو* *انجليزي:* *Heart* *المثال:* *Cardiology = كارديولوجي = علم القلب* *2- الدم* *الجذر:* *Hem/o* *النطق:* *هيمو* *انجليزي:* *Blood* *المثال:* *Hematology = هيماتولوجي = علم الدم* *3- الكلية* *الجذر:* *Nephr/o* *النطق:* *نيفرو* *انجليزي:* *Kidney* *المثال:* *Nephritis = نيفرايتس = التهاب كلية* *4- المثانة* *الجذر:* *Cyst/o* *النطق:* *سيست…
👏2💯2🤩1😘1🙈1
Signed [🫀]
*مساء الخيرات جميعآ🖐* اليوم في مادة المصطلحات الطبية راح نشرح *الجذور و لواحق و بادئة*، كل قسم فيهم خمس مصطلحات، ان شاءالله بشكل مبسط وسهل زي ما بدكم جاهزين نبلش و نفكفك الطب حتة حتة؟ *يلا بينا*
🥰2💯1🤯1😎1😘1
Signed [🫀]
File, posted without a caption
❤4❤🔥1😎1🙈1
Signed ⁿᵘʳˢᵉ. ᗷᗩᕼᗩᗩ✨
📌 مصطلحات طبية مهمة (العلاج الطبيعي والتأهيل - القائمة الكاملة) 🌓 1- Physical Therapy | علاج طبيعي 🌓 2- Rehabilitation | إعادة تأهيل 🌓 3- Joint mobilization | تحريك المفاصل 🌓 4- Range of motion (ROM) | مدى الحركة 🌓 5- Ultrasound therapy | العلاج بالموجات فوق الصوتية 🌓 6- Electrotherapy | العلاج الكهربائي 🌓 7- Hydrotherapy | العلاج المائي 🌓 8- Manual therapy | العلاج اليدوي 🌓 9- Posture | وضعية الجسم / القوام 🌓 10- Ga…
❤4👍2🎉1🕊1🗿1
Signed ⁿᵘʳˢᵉ. ᗷᗩᕼᗩᗩ✨
خسارة تدرس طب🥼وما عندك هاي القنوات😍👇
😁2🏆1🤩1
Signed بوت دعم القنوات الطبية 🥼
Showing the 12 most recent of 75 posts we hold for @Terminologyes. 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.
We recorded 6 posts on @Terminologyes as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“MedNurse | مصطلحات طبية” (@Terminologyes), 9,078 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/Terminologyes.
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.