Channel
@learnLOP
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,441subscribers
-3 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001075197049 |
|---|---|
| Type | Channel |
| Username | @learnLOP |
| Created | Between 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/learnLOP |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 21:57 | 1,441 | -3 |
| 31 Aug 2026, 13:36 | 1,444 | +1 |
| 28 Aug 2026, 20:04 | 1,443 | +1 |
| 22 Aug 2026, 10:26 | 1,442 | -1 |
| 16 Aug 2026, 08:03 | 1,443 | +1 |
| 10 Aug 2026, 01:26 | 1,442 | -2 |
| 6 Aug 2026, 07:48 | 1,444 | no change |
| 5 Aug 2026, 23:37 | 1,444 | first reading |
20 posts held, back to 1 June 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 20 posts for this entry, the most recent from 25 July 2026. An engagement rate over an empty window would be a number about nothing.
لماذا نطلب الفحوصات المخبرية؟ الفحص المخبري ليس غايةً بحد ذاته، بل هو وسيلة تساعد الطبيب على تشخيص المرض، وتقييم شدته، ومتابعة الاستجابة للعلاج. لذلك: لا تُجرِ الفحوصات دون سبب طبي واضح. لا تُفسِّر النتائج بنفسك، فقد تكون النتيجة الطبيعية غير مطمئنة في بعض الحالات، أو تكون النتيجة غير الطبيعية لا تدل على مرض خطير. يجب ربط نتائج المختبر بالأعراض، والفحص السريري، والتاريخ المرضي. معلومة مهمة: لا توجد نتيجة مخبرية تُشخّ…
https://youtube.com/shorts/Qyc4gZcJfLY?si=0p8HANVRRt1aEcZu
https://youtu.be/cjg5o_2TuVk?si=fCv2kHyINzIvWRaC
https://youtube.com/shorts/oGVbGBdLMTY?si=-5s06trOWYYn4fXy
https://youtu.be/6tKZ1r4O7vE?si=V-7cKuqfbuCrLmxf
https://youtube.com/shorts/rhSwLiEJ7wE?si=P1MJ5ok5Io-Tp8kh
https://youtu.be/HAJoe2dHNHY?si=fd8xE-MkCqStduGb
https://youtube.com/shorts/OEJr7wZ6Spw?si=4QvbHMoiyUY3jxVr
https://youtube.com/shorts/Ko1j6pgTSm4?si=NTxLCg9q_DqdeYyT
https://youtube.com/shorts/-I79CE5VZZo?si=ECXds4SEtxz3JYqX
https://youtu.be/HXdgOwOxNto?si=ESuD3yCyC2k758dx
https://youtu.be/HXdgOwOxNto?si=ESuD3yCyC2k758dx
Showing the 12 most recent of 20 posts we hold for @learnLOP. 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.
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.
“🌷💉🔬عالم الطب المخبري🔬💉🌺” (@learnLOP), 1,441 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/learnLOP.
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.