Channel
@drnalkhamees
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
7,137subscribers
-57 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001514071225 |
|---|---|
| Type | Channel |
| Username | @drnalkhamees |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/drnalkhamees |
Science — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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 |
|---|---|---|
| 19 Sept 2026, 14:19 | 7,137 | -3 |
| 15 Sept 2026, 05:37 | 7,140 | -5 |
| 11 Sept 2026, 05:38 | 7,145 | -8 |
| 6 Sept 2026, 15:19 | 7,153 | -5 |
| 2 Sept 2026, 02:04 | 7,158 | -7 |
| 30 Aug 2026, 08:35 | 7,165 | -2 |
| 27 Aug 2026, 08:33 | 7,167 | -4 |
| 24 Aug 2026, 15:37 | 7,171 | -6 |
| 20 Aug 2026, 18:03 | 7,177 | -7 |
| 17 Aug 2026, 09:44 | 7,184 | -6 |
| 13 Aug 2026, 15:26 | 7,190 | -2 |
| 10 Aug 2026, 15:08 | 7,192 | -2 |
| 7 Aug 2026, 04:45 | 7,194 | no change |
| 7 Aug 2026, 04:33 | 7,194 | first reading |
22 posts held, back to 15 October 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 13 pages 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 22 posts for this entry, the most recent from 7 August 2026. 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.
326 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 63.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 207 | 63.5% | |
| 👏 | 64 | 19.6% | |
| 🔥 | 55 | 16.9% |
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 19 of the 22 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 326 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 15 October 2025 to 7 August 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.
دمك هو بلورة سائلة. لقد علموا ذلك منذ عام 1938. في عام 1938، اكتشف عالم أحياء ألماني يُدعى الدكتور إروين نيير شيئًا كان من المفترض أن يعيد كتابة كل ما نعرفه عن الطب: إن الدم البشري ليس مجرد سائل ناقل. بل هو بنية بلورية كهروإجهادية - أي أنه يولد شحنة كهربائية استجابةً للضغط الميكانيكي والتردد الكهرومغناطيسي. دمك هو هوائي حي. تم تصنيف هذا الاكتشاف على الفور من قبل النظام النازي ووضعه تحت إشراف "أهينربر" - وهي وحدة …
👍22👏8
𝗬𝗢𝗨𝗥 𝗕𝗟𝗢𝗢𝗗 𝗜𝗦 𝗔 𝗟𝗜𝗤𝗨𝗜𝗗 𝗖𝗥𝗬𝗦𝗧𝗔𝗟. 𝗧𝗛𝗘𝗬 𝗞𝗡𝗘𝗪 𝗦𝗜𝗡𝗖𝗘 𝟭𝟵𝟯𝟴. In 1938, a German biophysicist named Dr. Erwin Neher discovered something that should have rewritten all of medicine: Human blood is not just a transport fluid. It is a piezoelectric crystalline structure — meaning it generates electrical charge in response to mechanical pressure and electromagnetic frequency. Your blood is a living antenna. This discovery was…
https://doctorak.com/blog/%D8%B9%D9%84%D8%A7%D8%AC-%D8%A7%D9%84%D8%AD%D8%B2%D8%A7%D9%85-%D8%A7%D9%84%D9%86%D8%A7%D8%B1%D9%8A-%D8%A8%D8%A7%D9%84%D8%A7%D8%B9%D8%B4%D8%A7%D8%A8/ 6 %D8%B7%D8%B1%D9%82 %D9%84%D8%B9%D9%84%D8%A7%D8%AC %D8%A7%D9%84%D8%AD%D8%B2%D8%A7%D9%85 %D8%A7%D9%84%D9%86%D8%A7%D8%B1%D9%8A %D8%A8%D8%A7%D9%84%D8%A7%D8%B9%D8%B4%D8%A7%D8%A8
👏3👍2
هذي تجربة احدى المريضات لنظام الطيبات: 1. مقدمة عن النظام: • بدأت الحمية بعد سماعها عن نظام الطيبات الذي روج له الدكتور ضياء العوضي (توفي مؤخرًا وأحدث ضجة). • النظام عبارة عن حمية غذائية لها 5 محظورات: • الدجاج • البيض • الدقيق الأبيض ومشتقاته (معجنات، حلويات، خبز أبيض…) • منتجات الألبان (لبن، زبادي، معظم الأجبان) — مسموح القشطة وبعض الجبن المطبوخ. • (الخامسة نسيتها في الكلام لكنها تكرر الأولى). …
👏23👍9🔥6
File, posted without a caption
👍9🔥7👏2
https://www.instagram.com/reel/DYUv68RGiLm/?igsh=aDUxa2NoMTYzdDk3
🔥3
📚
👍11🔥8👏5
جريمة التطعيم بقلم الدكتور بنديكت لست قال الدكتور بنجامين راش «بدون الحرية الطبية، استقلالنا عبث» نُشر بواسطة منشورات بنديكت لست . بتلر، نيو جيرسي . نيويورك، نيويورك . تانجرين، فلوريدا
👍15🔥7👏3
📚
👏10👍3🔥2
الوصفات بحسب زمن الفيديو. https://t.me/husseinalhaj جرثومة المعدة 0:1 وظائف الكلى 1:50 شلل العصب الخامس 5:00 مسام البشرة 6:35 مسمار القدم 7:51 طرد البرص 8:48 تطويل الشعر 10:30 الصداع 11:46 نقص الصفائح الدموية 13:30 عرق النسا 15:40 ازالة الشعر 18:57 الشرخ الشرجي 22:32 خمول الغدة الدرقية 25:15 نشاط الغدة الدرقية 29:15 سن الحكمة 31:44 السكري 34:30 جروح السكري 42:00 ضيق الحالب 47:58 ثعلبة شاملة 49:54 ثقب طبلة الاذن 52…
👍22🔥6
https://youtu.be/qa_XBRVXnPs?si=wVBDjwiw2shu0do5
👍11
Photo, posted without a caption
👍10
Showing the 12 most recent of 22 posts we hold for @drnalkhamees. 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.
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.
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 3 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“د نداء الخميس Dr. Nedaa Al-Khamis” (@drnalkhamees), 7,137 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/drnalkhamees.
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.