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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
36 measurements spanning 62 days, net +1,130. 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 21,906–23,375 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
8 Oct 2026, 13:18
23,205
+38
4 Oct 2026, 04:19
23,167
+108
25 Sept 2026, 09:59
23,059
+144
19 Sept 2026, 02:57
22,915
+35
16 Sept 2026, 15:36
22,880
+38
14 Sept 2026, 18:20
22,842
+49
13 Sept 2026, 05:41
22,793
+39
11 Sept 2026, 05:41
22,754
+40
8 Sept 2026, 09:56
22,714
+52
5 Sept 2026, 04:01
22,662
+46
3 Sept 2026, 09:23
22,616
+13
1 Sept 2026, 23:34
22,603
+39
31 Aug 2026, 23:17
22,564
+4
31 Aug 2026, 01:38
22,560
+15
30 Aug 2026, 04:56
22,545
+31
29 Aug 2026, 02:09
22,514
+18
27 Aug 2026, 23:43
22,496
+8
27 Aug 2026, 01:54
22,488
+8
26 Aug 2026, 01:16
22,480
+13
24 Aug 2026, 23:06
22,467
first reading
Engagement
30 posts held, back to 23 April 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 82 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.7%
avg views ÷ 23,205 subscribers
Avg views / post
3,420
1 post measured
Reaction rate
2.11%
reactions ÷ views · ER floor
Posts in window
1
of 30 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 26 September 2026
Posts held
30 (23 April 2026 – 26 September 2026)
Views total
3,420
Reactions total
72
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Oct 2026, 09:52 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.
What this channel posts
Photos
859
Videos
16
Links
40
Lifetime counters from Telegram’s own channel header, read 10 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.
Reaction mix
2,123 reactions across 28 posts, in 5 distinct kinds. The most used accounts for 89.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,907
89.8%
👍
97
4.57%
👏
59
2.78%
🥰
59
2.78%
😢
1
0.047%
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 28 of the 30 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 2,123 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 23 April 2026 to 26 September 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.
Onswik™:الانسولين الاسبوعي تطور علاج السكري ولله الحمد
المادة الفعالة: Insulin efsitora alfa-gobe
هوا Basal/long-acting insulin، مصمم ليعمل لمدة أسبوع.
الاستعمال الحالي: للبالغين المصابين بـ Type 2 diabetes mellitus مع الحمية والرياضة.
الجرعة: حقنة تحت الجلد مرة واحدة أسبوعيًا في نفس اليوم من كل أسبوع.
للاسف حاليا ليس مخصصًا لـ Type 1 diabetes وفق المعلومات الحالية ، بسبب خطر hypoglycemia الشديد.
FDA Approves Once…
#Maternal_RSV_vaccine:-
التطعيم الفيروسي التنفسي المخلوي للام اثناء الحمل تحد من خطورة المرض الدي يسببه هذا الفيروس عند الاطفال بالذات ذوي الخطورة
Abrysvo (RSVpreF – Pfizer)
يعطي جرعة واحدة IM
التوقيت للأم في بين الاسبوع 32 - 36weeks
: فكرته و الهدف من اعطاءه
انتقال maternal antibodies عبر المشيمة وحماية الطفل من severe RSV خلال أول 6 أشهر.
• إذا أُعطي اللقاح للأم ≥14 يومًا قبل الولادة، فغالبًا لا يحتاج الطفل إل…
السلام عليكم
جمعتكم مباركة
بالاضافة الي تنزيلها في قروب التليقرام ، تم تحميل المحاضرة التعريفية ومقدمة طب الاطفال بجزئيها في المنصه علي جميع الباقات
بالتوفيق للجميع
#Immunologic_characteristics of #breast_milk
• Postpartum colostrum contains high concentrations of antibodies and other infection-protective elements (natu- ral immunization).
• The actual antibodies against specific microbial agents present in an individual woman’s milk depends on her exposure and response to the particular agents.
• Lactoferrin: Limits bacterial growth by iron chelation.
• Lysozyme: Bacterial cel…
Spot diagnosis :- Oral Thrush in Infants or oral candidiasis:-
Oral thrush is a common fungal infection in babies, caused by a yeast called Candida albicans.
---
Signs & Symptoms:
- White patches in the mouth (tongue, cheeks, roof of mouth)
- Fussiness or pain during feeding
- Redness or cracks around the mouth
- Sometimes accompanied by diaper rash (fungal)
---
Causes:
- Recent antibiotic use (baby or mother)
-…
السلام عليكم
بالتوفيق للجميع .
تطبيق اكاديميا📚📱
أطفال
|المكثف+Clinic + _ Super-intensive course + Keywords&data
https://instructor.academia.ly/bundle/?id=7
للاستفسار يرجى التواصل على 0913103064 تلغرام
❤10👍2🥰1
Signed د عبدالرحمن
Showing the 12 most recent of 30 posts we hold for @pedia8. 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.
Forward network
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.
Channels Telegram recommends alongside this one
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.
منهج طب الأطفال | 📓️| د. عبدالرحمن الجعكي @pediatricaljoky · 22,038#1
Read from Telegram’s recommendation API, most recently 19 September 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.
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.
منهج طب الأطفال | 📓️| د. عبدالرحمن الجعكي @pediatricaljoky · 22,038 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 22 September 2026
Pharmacology @pharmacology2017 · 32,109 Telegram ranks this channel #61 of 80 here — alongside 79 others — read 5 September 2026
تفريغات مواد طبية @tafrighat · 47,392 Telegram ranks this channel #75 of 86 here — alongside 85 others — read 26 August 2026
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.
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 8 October 2026 — this
entry's latest reading, not the date you are reading this.
“Pediatrics "د.الجعكي "2026” (@pedia8), 23,205 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/pedia8.
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.
