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 11 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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
14 measurements spanning 42 days, net -127. 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 9,069–9,234 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 11:39
9,088
-9
14 Sept 2026, 10:37
9,097
-9
10 Sept 2026, 18:38
9,106
-21
5 Sept 2026, 15:01
9,127
-18
1 Sept 2026, 05:16
9,145
-3
29 Aug 2026, 14:26
9,148
-19
26 Aug 2026, 05:03
9,167
+3
22 Aug 2026, 22:16
9,164
-27
19 Aug 2026, 08:35
9,191
-6
16 Aug 2026, 17:54
9,197
-2
13 Aug 2026, 14:07
9,199
-6
10 Aug 2026, 16:52
9,205
-10
8 Aug 2026, 03:00
9,215
no change
7 Aug 2026, 10:15
9,215
first reading
Engagement
38 posts held, back to 7 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 33 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.4%
avg views ÷ 9,088 subscribers
Avg views / post
1,030
9 posts measured
Reaction rate
0.7%
reactions ÷ views · ER floor
Posts in window
10
of 38 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 27 August 2026
Posts held
38 (7 April 2026 – 27 August 2026)
Views total
9,284
Reactions total
65
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 16:23 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
Video runtime
1m 03s
Average length
1m 03s
Measured directly from 1 video 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.
Reaction mix
910 reactions across 36 posts, in 10 distinct kinds. The most used accounts for 67.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
617
67.8%
👏
111
12.2%
👍
94
10.3%
😁
31
3.41%
🤯
23
2.53%
👎
12
1.32%
👌
11
1.21%
😐
5
0.549%
😢
5
0.549%
🥰
1
0.11%
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 36 of the 38 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 910 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 7 April 2026 to 27 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.
🫀 10 Useful English Telegram Channels for Medical Anatomy
1️⃣ Anatomy — Acland's Atlas
🔗 @Essential_Anatomy
⭐ Highly Recommended
Gross anatomy, cadaveric anatomy, atlases and lecture videos.
Includes the Acland's DVD Atlas of Human Anatomy, with upper limb, lower limb, trunk, head & neck and internal organs.
The public channel describes itself as containing anatomy books, atlases and lecture videos.
2️⃣ Anatomy, Em…
اما چرا؟
پاسخ قطعی نداریم. در برخی جمجمهها نشانههای ضربه و شکستگی دیده میشود و این احتمال را تقویت میکند که عمل برای درمان آسیب سر، کاهش فشار یا برداشتن قطعات شکستهٔ استخوان انجام شده باشد. دربارهٔ سردرد شدید، تشنج یا اختلالات رفتاری نیز فرضیههایی مطرح شده است، اما نمیتوان تشخیص پزشکی امروزی را با اطمینان بر اسکلت انسانی متعلق به هزاران سال پیش تحمیل کرد.
توضیح آیینی هم بسیار مشهور است: اینکه سوراخ جمجمه راهی …
قسمت دوم
سوراخی در جمجمه | حدود ۱۰هزار تا ۳هزار سال پیش، اروپا، شمال آفریقا و قارهٔ آمریکا
تصورش ساده نیست: انسانی روی زمین یا پوست حیوان خوابیده، چند نفر سرش را ثابت نگه داشتهاند و فردی با تیغه یا سنگی ساینده، میلیمتر به میلیمتر استخوان جمجمه را میتراشد. نه بیهوشی مدرن وجود دارد، نه آنتیبیوتیک، نه دانشی از میکروبها. با این حال، بعضی از صاحبان این جمجمهها نهفقط از عمل جان سالم بردهاند، بلکه آنقدر زنده مانده…
قسمت یک | حدود ۳۰۰هزار تا ۱۰هزار سال پیش
مردی نئاندرتال در غار شانیدرِ زاگرس سالها با بدنی آسیبدیده زندگی کرد: یک دستش بهشدت از کار افتاده بود و مشکلات دیگری هم داشت. اینکه دقیقاً چه کمکی دریافت میکرد نمیدانیم؛ اما زندهماندن طولانی او با چنین محدودیتهایی، احتمال مراقبت و سازگارشدن گروه با نیاز یک عضو ناتوان را جدی میکند.
در آن جهان هنوز «پزشک» به معنای یک حرفه وجود نداشت. درمان، اگر بتوان این واژه را به کار ب…
چرا پزشکی تکهتکه شد؟
۱. قبل از قرن نوزدهم: تقسیمکار وجود داشت، ولی بر مبنای طبقه، نه دانش
در اروپای پیشامدرن سه گروه مجزا بودند: physicianها (دانشگاهرفته، لاتیندان، جالینوسی، دست به بیمار نمیزدند)، surgeonها (صنف، اغلب سلمانی-جراح، کار یدی و بیآبرو) و apothecaryها. این مرز، مرز پرستیژ اجتماعی و صنفی بود نه مرز تخصص علمی. کسانی هم که فقط یک کار میکردند (سنگشکن مثانه، آبمرواریدبردار، شکستهبند) empiric و عملا…
تریاکسون و تاکسیم، علمدارِ سپاه
تازیدیم به سودو، گشودیم راه
فیکسیم و پودو، ز پی میرسند
نسل سوماند، همه سربلند
پ.ن: سرودی از شاعر با مطرح کردن سفتازیدیم و سودوموناس!😂👌
@Lymphopod
🧠 Myoclonus یا Tic
بیمار میگه: «دستم یهدفعه میپره.»
این شرح حال میتونه هم ما رو به سمت myoclonus ببره، هم tic؛ ولی با چند سؤال ساده معمولاً میشه این دو تا رو از هم جدا کرد.
میوکلونوس یک حرکت خیلی سریع، ناگهانی و shock-like هست. بیمار معمولاً قبلش هیچ حس خاصی نداره و حرکت یکدفعه اتفاق میفته.
البته هر myoclonus به معنی seizure نیست. میوکلونوس در اصل یک نوع حرکت هست و میتونه منشأ cortical، subcortical، spinal ی…
❤14👍7👌3
Showing the 12 most recent of 38 posts we hold for @lymphopod. 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.
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
یک مبحث رو برامون بساز تست جدید بذار دوره کنیم برای امتحان31%
اگر پکیج اپیزود و تست بذاری میخرم!7%
The shares total 130%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
مرد ۲۸ سالهای حملات تکرارشوندهای دارد که قبل از هر حمله، احساس میکند «این محیطی که بودم یکدفعه کاملا نااشنا شد». پس از آن دچار احساس ترس بدون علت شده ارتباطش با محیط مختل میشود و حرکات جویدن پیدا میکند.
محتملترین محل شروع تشنج کدام است؟
لوب فرونتال26%
لوب تمپورال60%
لوب اکسیپیتال6%
لوب پریتال9%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
کودک ۷ سالهای با حملات متعدد خیره شدن چندثانیهای مراجعه کرده است. EEG الگوی 3-Hz spike-and-wave نشان میدهد. بهترین درمان شروع میشود. شش ماه بعد بیمار دچار تب، گلودرد و WBC=1500 شده است.
کدام گزینه علت محتمل این عارضه است؟
مهار سنتز DNA در مغز استخوان12%
مهار کانال کلسیمی در مغز استخوان18%
واکنش ایدیوسینکراتیک در مغز استخوان47%
مهار سنتز فولات23%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 38 most recent posts we hold, published 7 April 2026 to 27 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
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.
Mentions
Named by 2 registered channels — 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.
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.
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.
" فارمامدیکال 📞 pharmamedicall@ " @pharmamedicall · 38,896 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 31 August 2026
صرفا نسخه‼️ @noooskhe · 49,248 Telegram ranks this channel #16 of 90 here — alongside 89 others — read 26 August 2026
Med_Skill @med_skills · 37,802 Telegram ranks this channel #24 of 92 here — alongside 91 others — read 31 August 2026
تشخیص های افتراقی @differential_diagnosis1 · 32,430 Telegram ranks this channel #35 of 87 here — alongside 86 others — read 5 September 2026
Medical Jozveh @medical_jozveh_channel · 123,871 Telegram ranks this channel #36 of 87 here — alongside 86 others — read 18 August 2026
کانال طِب اَطفال @TebeAtfal · 51,629 Telegram ranks this channel #40 of 96 here — alongside 95 others — read 25 August 2026
Proxy Active |پروکسی فعال @proxy_active · 67,242 Telegram ranks this channel #40 of 57 here — alongside 56 others — read 20 August 2026
داروشناسی پزشکی @medical_drugs1 · 51,966 Telegram ranks this channel #43 of 95 here — alongside 94 others — read 24 August 2026
فیلمومِد @Learningvideos99 · 38,165 Telegram ranks this channel #47 of 91 here — alongside 90 others — read 31 August 2026
Med Line | مِد لاین @Medical_line · 37,571 Telegram ranks this channel #51 of 90 here — alongside 89 others — read 1 September 2026
نسخه نویسی فارمامدیکال @pharmamedicall2 · 32,368 Telegram ranks this channel #55 of 87 here — alongside 86 others — read 5 September 2026
خلاصه های بالینی | مدوفست @medofast_balini · 34,184 Telegram ranks this channel #57 of 90 here — alongside 89 others — read 4 September 2026
آموزش نسخه خوانی @noskhe_daro · 47,981 Telegram ranks this channel #70 of 90 here — alongside 89 others — read 26 August 2026
کار دانشجویی علوم پزشکی | مدیلنسر @medilancer · 95,076 Telegram ranks this channel #71 of 93 here — alongside 92 others — read 18 August 2026
@lMedixl * فایل های پزشکی @lmedixl · 39,456 Telegram ranks this channel #79 of 85 here — alongside 84 others — read 31 August 2026
medistU | مدیستیو @medistU · 53,578 Telegram ranks this channel #91 of 96 here — alongside 95 others — read 24 August 2026
This channel appears in 16 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“LYMPHOPOD” (@lymphopod), 9,088 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/lymphopod.
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.