Health & wellness — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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.
Growth
9 measurements spanning 25 days, net +32. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,718–1,760 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 00:38
1,755
+5
12 Sept 2026, 01:18
1,750
-1
7 Sept 2026, 16:37
1,751
+3
3 Sept 2026, 00:34
1,748
+3
31 Aug 2026, 06:32
1,745
+7
28 Aug 2026, 15:12
1,738
+11
25 Aug 2026, 05:33
1,727
+3
22 Aug 2026, 12:58
1,724
+1
21 Aug 2026, 21:15
1,723
first reading
Engagement
20 posts held, back to 2 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.10%
avg views ÷ 1,755 subscribers
Avg views / post
54.4
8 posts measured
Reaction rate
2.47%
reactions ÷ views · ER floor
Posts in window
8
of 20 held
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 1 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 20 August 2026
Posts held
20 (2 August 2026 – 20 August 2026)
Views total
435
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
21 Aug 2026, 21:15 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.
Reaction mix
6 reactions across 5 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6
100.0%
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 7 of the 20 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 August 2026 to 20 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.
🫁 When Oxygen Becomes a Drug With a Dose
Oxygen saves lives—but more is not always better.
For decades, oxygen was treated as a harmless therapy that could be administered generously. Modern respiratory physiology tells a more precise story: oxygen is a powerful drug, and excessive exposure can cause harm.
High oxygen concentrations may increase the formation of reactive oxygen species, promote oxidative stress, w…
🫁 Carbon Dioxide: The Neglected Signal in Respiratory Failure
Hypercapnic Respiratory Failure
When clinicians think about respiratory failure, oxygen usually receives the attention. But carbon dioxide can reveal a different and equally dangerous problem: failure of effective ventilation.
A patient may maintain an acceptable oxygen saturation while carbon dioxide progressively rises. This can occur when respiratory…
🫁 The Diaphragm: The Forgotten Organ in Respiratory Failure
When clinicians assess breathlessness, attention often goes to the lungs. But sometimes the critical problem is not the lungs—it is the respiratory pump.
The diaphragm is the principal muscle of inspiration. In severe illness, prolonged mechanical ventilation, neuromuscular disease, obesity, or hyperinflation, it may become weak or mechanically disadvantag…
🫁 When the Ventilator Weakens the Breathing Muscle
Ventilator-Induced Diaphragm Dysfunction
Mechanical ventilation can save a life—but prolonged complete unloading of the respiratory muscles may create a new problem: diaphragm weakness.
The diaphragm is not designed to remain inactive for long periods. When controlled ventilation eliminates nearly all muscle activity, the diaphragm may rapidly lose strength throug…
🚨 قد يبدو الأنبوب الرغامي مجرد أنبوب… لكن كل جزء فيه له وظيفة قد تصنع فرقًا بين نجاح وفشل تأمين مجرى الهواء!
🫁 الأنبوب الرغامي Endotracheal Tube – ETT هو أحد أهم وسائل تأمين Definitive Airway، ويُستخدم بشكل أساسي في التخدير، الإنعاش، والتهوية الميكانيكية والعناية المركزة.
🔹 أهم أجزاء الأنبوب الرغامي:
• 15-mm Connector | الموصل: يربط الأنبوب بدائرة التخدير أو جهاز التنفس الصناعي.
• Cuff | بالون الإغلاق: يكوّن إحكا…
Driving Pressure: The Hidden Variable in Lung-Protective Ventilation
In patients with ARDS, tidal volume and plateau pressure are essential—but the driving pressure (ΔP) may provide an even deeper insight into ventilator-induced lung injury.
Driving pressure = Plateau pressure − PEEP
Physiologically, it represents the pressure required to deliver the set tidal volume through the functional “baby lung.” A given tid…
Dead space ventilation refers to the portion of each breath that does not participate in gas exchange because the air either remains in the conducting airways or reaches alveoli that are not adequately supplied with blood. Although this air is moved in and out of the lungs, it does not contribute to oxygen delivery or carbon dioxide removal. As dead space increases, ventilation becomes less efficient, and the body mu…
Showing the 12 most recent of 20 posts we hold for @rtalyemen. 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.
Appears in Telegram’s recommendations for other channels
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.
المجلس الطبي الاعلى @Medical_Council · 62,940 Telegram ranks this channel #35 of 92 here — alongside 91 others — read 21 August 2026
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.
Cite this entry
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“تجمع الرعاية التنفسية respiratory care” (@rtalyemen), 1,755 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/rtalyemen.
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.