Channel
@Nursing_training
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
69,490subscribers
+236 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001491568171 |
|---|---|
| Type | Channel |
| Username | @Nursing_training |
| Description | كل مايختص بالتمريض |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 28 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 28 September 2026 |
| On Telegram | t.me/Nursing_training |
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 9 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 |
|---|---|---|
| 28 Sept 2026, 19:15 | 69,490 | +74 |
| 18 Sept 2026, 00:58 | 69,416 | +26 |
| 15 Sept 2026, 23:58 | 69,390 | +17 |
| 14 Sept 2026, 03:41 | 69,373 | +18 |
| 12 Sept 2026, 12:17 | 69,355 | +7 |
| 10 Sept 2026, 11:39 | 69,348 | +39 |
| 7 Sept 2026, 04:58 | 69,309 | +21 |
| 4 Sept 2026, 09:00 | 69,288 | +8 |
| 2 Sept 2026, 19:44 | 69,280 | -1 |
| 1 Sept 2026, 17:35 | 69,281 | -5 |
| 31 Aug 2026, 19:18 | 69,286 | +2 |
| 30 Aug 2026, 16:57 | 69,284 | +11 |
| 29 Aug 2026, 18:05 | 69,273 | +11 |
| 28 Aug 2026, 20:07 | 69,262 | +7 |
| 27 Aug 2026, 18:52 | 69,255 | +23 |
| 26 Aug 2026, 19:44 | 69,232 | -17 |
| 25 Aug 2026, 20:56 | 69,249 | -20 |
| 24 Aug 2026, 22:43 | 69,269 | +3 |
| 23 Aug 2026, 07:42 | 69,266 | +12 |
| 21 Aug 2026, 22:07 | 69,254 | first reading |
20 posts held, back to 27 November 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 103 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 23 September 2026 |
|---|---|
| Posts held | 20 (27 November 2024 – 23 September 2026) |
| Views total | 4,940 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 03:03 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 2 October 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.
🇸🇦 عِزّنا بطبعنا 🇸🇦 بمناسبة اليوم الوطني السعودي الـ96، كل عام ووطننا بخير وعز وأمان، وكل عام وأنتم بخير 💚 أسأل الله أن يحفظ المملكة وقيادتها وشعبها، ويديم علينا الأمن والرخاء.💚🇸🇦
Signed Zahra Ahmad
ملفات خطة المذاكرة https://t.me/SAEED5ALAKLABI/1456 بدون الأجوبة على قناة الأنشطة https://t.me/Zahraactivities ١- ملف شرح المذكرات بدون الأجوبة https://t.me/Zahraactivities/128 ٢- ملف EMS 1 بدون الأجوبة https://t.me/Zahraactivities/95 ٣- ملف EMS 2 بدون الأجوبة https://t.me/Zahraactivities/96 ٤- ملف تجميعات سعيد ( New Questions 2022 - 2023 ) بدون الأجوبة https://t.me/Zahraactivities/98 ٥- ملف RN. ZAHRA AC…
Signed Zahra Ahmad
Photo, posted without a caption
Signed SAEED FAIZ ALAKLABI
Hello, You are invited to participate in this study, which is part of a PhD dissertation, examining the role of emotional intelligence among nurses and its impact on team collaboration, work engagement, and intent to stay. Your participation is appreciated. All responses are confidential and used for research purposes only. Researcher: Bandar Majrashi السلام عليكم ورحمة الله وبركاته، أدعوكم للمشاركة في هذه الدراسة ك…
Signed Zahra Ahmad
اجر لنا ولكم لو بريال كتب الله اجركم
Signed SAEED FAIZ ALAKLABI
السلام عليكم ورحمة الله وبركاته … نهنئكم بحلول عيد الفطر المبارك و كُل عام وأنتم بخير ✨✨ و اسأل الله أن يتقبّل منّا و منكم صالح الأعمال و أن يُعيدهُ علينا وعليكم بالخير و اليُمن و المسرّات ✨✨
Signed Zahra Ahmad
يوم التأسيس حكاية مجد، وبداية وطن عظيم 🇸🇦🇸🇦 نبارك لقيادتنا الرشيدة وللشعب السعودي هذه الذكرى الغالية، ونسأل الله أن يديم علينا نعمة الوطن والأمان. كل عام والسعودية بخير وعز 💚🤍
Signed Zahra Ahmad
🌙💫 رمضان كريم 💫🌙 نسأل الله أن يرزقنا وإياكم طاعةً مقبولة، وأن يجعل أيامنا مليئة بالرحمة والمغفرة، ويثبتنا على الخير ويعيننا على صيامه وقيامه. كل عام وأنتم بألف خير ✨
Signed SAEED FAIZ ALAKLABI
السلام عليكم و رحمة الله و بركاته غدا بإذن الله سنكون معكم في نشاط على قناة الأنشطة 👇👇 https://t.me/Zahraactivities مشاركتكم للنشاط على قناة شات الأنشطة👇👇 https://t.me/zahra_activities أهلاً و سهلاً بالجميع 🙏🏼🌷🌷
Signed SAEED FAIZ ALAKLABI
Photo, posted without a caption
Signed Zahra Ahmad
📢 تنويه مهم لجميع الأعضاء 📢 هذا الملف هو نفسه الملف الأول الموجود في خطة المذاكرة، ولكن تم تغيير إسم الملف إلى ✨ شرح المذكرات ✨ (نفس إسم قناة شرح المذاكرات الخاصة لهذا الملف) ◻️◻️ نرجو منكم جميعًا التعاون معنا، وعدم مشاركة صور للملف بالإسم القديم أو ذكر إسم الملف السابق. ◻️◻️ الإسم المعتمد لهذا الملف في جميع قنواتنا هو: “شرح المذكرات”
Signed Zahra Ahmad
شـرح المذكـرات
Signed Zahra Ahmad
Showing the 12 most recent of 20 posts we hold for @Nursing_training. 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.
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.
Named by 3 registered channels — 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 20 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 4 seed channels' Telegram-generated recommendation lists 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 28 September 2026 — this entry's latest reading, not the date you are reading this.
“🌡👩⚕️التمريض SNLE و الإمتياز 👨⚕️💉” (@Nursing_training), 69,490 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/Nursing_training.
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.