Channel
@husseinalhaj
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
10,030subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001854479420 |
|---|---|
| Type | Channel |
| Username | @husseinalhaj |
| Description | رابط القناة: https://t.me/husseinalhaj مرجعٌ عربيٌ شامِلٌ لعلاجات السرطان والأمراض المزمنة، يضم ترجماتٍ مُنتقاةً لأبحاثٍ وتجارب عالمية، من عشرات اللغات وعبر حقَبٍ تاريخيةٍ مختلفة. |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/husseinalhaj |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 16:33 | 10,030 | +3 |
| 13 Aug 2026, 09:14 | 10,027 | -2 |
| 12 Aug 2026, 08:17 | 10,029 | -2 |
| 11 Aug 2026, 11:42 | 10,031 | +5 |
| 10 Aug 2026, 10:01 | 10,026 | -1 |
| 9 Aug 2026, 12:32 | 10,027 | -3 |
| 8 Aug 2026, 13:58 | 10,030 | +4 |
| 7 Aug 2026, 16:53 | 10,026 | -3 |
| 6 Aug 2026, 19:10 | 10,029 | +1 |
| 6 Aug 2026, 02:48 | 10,028 | first reading |
53 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 17 pagesof 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. It is computed over the 48 of 53 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 53 (3 August 2026 – 14 August 2026) |
| Views total | 35,488 |
| Reactions total | 477 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 07:06 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 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
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.
477 reactions across 48 posts, in 12 distinct kinds. The most used accounts for 72.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 344 | 72.1% | |
| 👍 | 51 | 10.7% | |
| 👏 | 21 | 4.40% | |
| 💯 | 20 | 4.19% | |
| 🏆 | 17 | 3.56% | |
| 🔥 | 8 | 1.68% | |
| 👌 | 4 | 0.839% | |
| 🤣 | 4 | 0.839% | |
| 🤩 | 3 | 0.629% | |
| 🕊 | 2 | 0.419% | |
| 🥰 | 2 | 0.419% | |
| 😁 | 1 | 0.21% |
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 48 of the 53 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 477reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 3 August 2026 to 14 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.
تلتقي رؤية الطب الحديث مع حكم التراث العربي في تأكيد العلاقة العكسية بين الامتلاء المفرط (السمنة والبطنة) وصفاء الذهن والقدرات الإدراكية. فبينما عبّر التراث عن هذا المفهوم بالاستبصار والخبرة الحياتية، تفسّره الأبحاث الطبية المعاصرة عبر آليات بيولوجية وعصبية دقيقة. 1. السمنة والذكاء في التراث العربي والحديث الشريف ربط الحكماء والأطباء في التراث العربي الإسلامي بين الشبع المفرط وضبابية التفكير، واعتبروا أن خفة البدن شر…
❤5👍3
Photo, posted without a caption
🧠⚠️ هل تعلم؟ تشير الأبحاث إلى أن الدهون الزائدة في الجسم - ولا سيما الدهون الحشوية التي تتراكم حول الأعضاء الداخلية - قد تؤثر على ما هو أبعد من مجرد مقاس الخصر؛ إذ يمكن أن تؤثر أيضاً على صحة دماغك. ففي دراسات واسعة النطاق شملت عشرات الآلاف من الأشخاص، وجد الباحثون أن المستويات المرتفعة من دهون الجسم غالباً ما ترتبط بضعف تدفق الدم إلى الدماغ، وزيادة الالتهابات، وتراجع الأداء في بعض المهام الإدراكية. ولكن لنكن واضحين…
❤5
كلما زاد وزنك، قلّ ذكاؤك. دراسة جديدة شملت 33000 شخص تُظهر أنه كلما زادت نسبة الدهون لديك، قلّ ذكاؤك.
❤4
🐟 أسماك صغيرة... وقيمة غذائية هائلة. يتخلص معظم الناس من العظام الطرية الموجودة في السردين المعلب، لكنها في الواقع المصدر الأكبر للكالسيوم؛ فخلال عملية التعليب، تصبح العظام طرية وقابلة للأكل، مما يجعل السردين مصدراً ممتازاً للكالسيوم والبروتين وفيتامين (د) ودهون "أوميغا 3" المفيدة لصحة القلب. يمكن أن تساهم إضافة السردين إلى وجباتك في دعم: 🦴 قوة العظام والأسنان ❤️ صحة القلب 🧠 وظائف الدماغ 💪 الحفاظ على العضلات 🛡️ التغ…
❤4
التمر مع الزبدة علاج قديم منسي للقوة والهضم والشفاء
❤10
Photo, posted without a caption
Photo, posted without a caption
❤1
تناول الطماطم والأفوكادو معًا يمكن أن يزيد من امتصاص الليكوبين المقاوم للسرطان بأكثر من 400٪
❤6😁1
Video, posted without a caption
❤13👍1
نظام الطيبات مش قادر افهمه لكن الشهادات كثيرة جدا جدا بشكل لا يمكن تجاهلها حتى لو كنت ضد هذا النظام لا يمكنك تجاهله أبدا
💯11❤6🏆5
العسل الأسود،دبس قصب السكر يعيد لون الشعر الرمادي….
❤9🤩2🥰1
Showing the 12 most recent of 53 posts we hold for @husseinalhaj. 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.
@husseinalhaj edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 899,606 of 1,350,102entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Hussein al haj channel” (@husseinalhaj), 10,030 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/husseinalhaj.
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.