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 58% 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 the other topics.
Growth
65 measurements spanning 96 days, net +1,269. 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 11,108–12,757 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
11 Nov 2026, 17:47
12,567
+13
9 Nov 2026, 21:16
12,554
+17
8 Nov 2026, 13:11
12,537
+12
7 Nov 2026, 05:50
12,525
+11
6 Nov 2026, 04:10
12,514
+6
5 Nov 2026, 07:05
12,508
+10
4 Nov 2026, 08:21
12,498
+9
3 Nov 2026, 06:08
12,489
+13
2 Nov 2026, 08:01
12,476
+12
1 Nov 2026, 09:10
12,464
+21
31 Oct 2026, 05:38
12,443
+19
30 Oct 2026, 03:36
12,424
+10
29 Oct 2026, 03:38
12,414
+13
28 Oct 2026, 03:57
12,401
+31
27 Oct 2026, 00:39
12,370
+41
26 Oct 2026, 02:06
12,329
+19
25 Oct 2026, 03:20
12,310
-1
24 Oct 2026, 06:19
12,311
+9
23 Oct 2026, 09:28
12,302
+9
22 Oct 2026, 08:11
12,293
first reading
Engagement
23 posts held, back to 5 August 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 64 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
113.9%
avg views ÷ 12,567 subscribers
Avg views / post
14,300
3 posts measured
Reaction rate
1.37%
reactions ÷ views · ER floor
Posts in window
3
of 23 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 11 November 2026
Posts held
23 (5 August 2025 – 11 November 2026)
Views total
42,940
Reactions total
587
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 20:45 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
54
Videos
2
Links
71
Lifetime counters from Telegram’s own channel header, read 12 November 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
3,316 reactions across 23 posts, in 21 distinct kinds. The most used accounts for 54.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,801
54.3%
💔
655
19.8%
🔥
567
17.1%
👍
59
1.78%
❤🔥
48
1.45%
🙏
43
1.30%
👏
32
0.965%
🎉
30
0.905%
😍
21
0.633%
🌚
17
0.513%
👀
12
0.362%
🤣
5
0.151%
✍
4
0.121%
🐳
4
0.121%
👎
4
0.121%
🦄
4
0.121%
⚡
3
0.09%
💘
2
0.06%
😢
2
0.06%
🥰
2
0.06%
1 further kind
1
0.03%
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 23 of the 23 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 3,316 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 5 August 2025 to 11 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 3 posts held from the last 30 days (66.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
یکی از چیزهایی که خیلی بین ما جا افتاده اینه که
"نوتروفیل هایپرسگمنته = فقر فولات/B12"
نه لزوما! یادمون باشه که هایپرسگمنتد نوتروفیل، برای مگالوبلاستیک آنمیا (و فقر فولات و B12) حساسیت داره اما اختصاصیت نداره.
بسیاری از داروها (به ویژه کورتیکواستروئیدها) میتونن خیلی راحت باعث ایجاد این مورفولوژی بشن.
اخیرا مادربزرگ یکی از دوستانم بستری بود. میگفت بخش خودش رو کشته و میگه علت ترومبوسیتوپنیش (که علتش مشخص نشده بو…
سلام به همگی
کانال های کاربردی پزشکی بالینی که به نظرم مفید بود رو گذاشتم
- در دسته بندی اطفال 👶
t.me/TebeAtfal
کانال طب اطفال، برای کیس های جالب اطفال عالیه
- پادکست های پزشکی 🎧
@Triagepodcast
از اتند خودم، دکتر ولی پور (به شدت توصیه میکنم)
@Internalmedicineapproachs
از دکتر محمدحسینی، فلو ریه امام خمینی
@Common_approaches
از دکتر عزیزی و دکتر ملکی، حدود ۱۰۰ مبحث اپتودیت به صورت پادکست در اومده
- در دسته بندی داخ…
بعد از محدودیت های اپتودیت در ایران، ما UpToDate 2026 به صورت فارسی روی Medguide.ir کاملاً رایگان و تحت وب در دسترس قرار دادیم.
امکانات :
📚 دسترسی به مقالات UpToDate 2026 محتوای فارسیشده
🤖 خلاصهسازی هوشمند با ChatGPT از محتوای اپتودیت
⬇️ نصب به صورت اپ (PWA)
📱محیط کاربری زیبا
📝 دسترسی به گایدلاین ها (AHA و کشوری و ...)
🆓 رایگان برای همیشه
دسترسی : Medguide.ir
✅ پلتفرم رایگان RapidRx.ir | راهنمای بالینی نسخهنویسی بر مبنای آپتودیت
در شرایط شلوغ درمانگاه یا اورژانس، کمبود زمان برای سرچ در رفرنسها و عدم حضور ذهن در مورد تمام نکات مهم و دوز داروها چالش همیشگی ماست.
این سامانه برای دسترسی آنی به نسخهها و نکات بالینی حین ویزیت توسعه یافته است.
🔹 ویژگیها و امکانات کلیدی:
➖ بیس علمی معتبر: استخراج و نگارش دستی نسخهها از تاپیکهای UpToDate و بازبینی مجدد با OpenEvidence
➖…
گر بمیریم از این غم رواست.
فاجعهای رخ داده که هر چی حرف بزنیم کمه! حتی واقعا شرمندم که این پیام رو میذارم.
تعدادی از دوستانی از در همین کانال بودن، دیگه آنلاین نمیشن، خیلی ها هم داغ عزیزانشون رو دارند که در هیچ کلمهای نمیشه گنجوند.
سوگی دائمی...
که همیشه با ماست
سلام بر همگی
جدیدا یخورده علاوه بر منابع کلاسیک (کتاب و اپتودیت) رو به Blog ها بیش تر علاقه مند شدم
جایی که پزشک بر اساس اویدنس یک سری مطالب کلیدی برای پرکتیس می نویسه، نه صرفا مطالب Text Book برای چاپ یک کتاب. (به نوعی شبیه اپتودیت ولی با Evidence و حجم کمتر ولی کاربرد بهتر)
اینجا لیستی از بلاگ های مفید رو گذاشتم.
مبحث Critical Care :
اولیش IBCC هست که با محوریت Critical Care و ریه هست. نکات فوق العاده ای داره.
ع…
"هوش مصنوعیِ آپتودیت"
این آپشنی هست که آپتودیت اضافه کرده و بقول یکی از بچهها، رویای من رو به حقیقت رسانده🥲 (حس ارباب موپالمو رو دارم وقتی راز سلاح فولادی رو پیدا کرد!).
چند مورد: اول اینکه فعلا نسخهی بتا رلیز شده(نسخهی آزمایشی) و خب برای یه سریا فعال شده یه سریا نه. اما چند خبر ایشالا خوب! بدم،
- همینکه توی اپش ران کردن یعنی احتمالا نیاز نیست حتما نسخه وب رو بخریم(که با توجه به تحریم و...) دردسرش خیلی زیاده.
- م…
دستورات در بخش اورژانس:
بخش اول: مقدمه و ساختار کلی
👈 مقدمه:
در هنگام نوشتن دستورات برای بیماران بخش اورژانس، اگر ساختار کلی و منطق گامبهگام دستورات در ذهنمان باشد، نهتنها از فراموشی جزئیات حیاتی جلوگیری میکنیم، بلکه کیفیت تصمیمگیری، سرعت عمل، و دقت درمانی ما چند برابر میشود. دستورنویسی حرفهای، یکی از نشانههای بارز پزشک مسئول، دقیق و منظم است.در واقع، اردر (Order) نه فقط فهرستی از اقدامات درمانی، بلکه آینهی…
دستورات در بخش اورژانس:
بخش دوم: نمونه هایی از دستورات استاندارد در بخش اورژانس
👈توضیح مقدماتی پیش از مثالها:
در این بخش، نمونههایی از دستورات استاندارد (Standard Orders) آورده میشود. توجه داشته باشید که این موارد صرفاً بهمنظور آموزش ساختار و ترتیب اصولی دستورنویسی تنظیم شدهاند. این دستورات، دستورات واقعی بالینی نیستند و ارتباطی میان تشخیصها و دستورات درجشده وجود ندارد. هدف صرفاً آشنایی با نحوهی صحیح نوشتن، …
🎓 جلسه دوم
کارگاه آموزش مقالهنویسی و پژوهش برای دانشجویان پزشکی
اگر همیشه دوست داشتی وارد دنیای پژوهش پزشکی بشی ولی نمیدونستی از کجا شروع کنی،
این کارگاه مخصوص توئه! ✨
📚 موضوعات کارگاه:
🔹 اهمیت پژوهش در پزشکی
🔹 مراحل انجام تحقیق از شروع تا پایان
🔹 آشنایی با ساختار انواع مقالات
🔹 معرفی پایگاههای داده علمی و روش استفاده از آنها
🔹 آموزش نگارش مقالات علمی به زبان ساده و کاربردی
👨🏫 مدرسین:
دکتر مقداد قاسمی گرجی
فو…
لینک ضبط شده برای دوستانی که حضور نتونسته ان داشته باشن
http://vascularsurgery.ir/webinar-archive
❤67🔥5👎2👍1🙏1
Showing the 12 most recent of 23 posts we hold for @intern_guide. 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.
Posts edited after publishing
@intern_guide 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.
First edit seen
3 November 2026
Most recent edit
3 November 2026
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 3 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@intern_guide named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@medlab_edu named in 1 post, 12 November 2026 – 12 November 2026
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.
مدرسه پزشکی | امیرمحمد قربانی @schoolofmedicine_ir · 27,205 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 12 September 2026
کانال طِب اَطفال @TebeAtfal · 52,137 Telegram ranks this channel #8 of 96 here — alongside 95 others — read 25 August 2026
خلاصه های بالینی | مدوفست @medofast_balini · 37,278 Telegram ranks this channel #14 of 90 here — alongside 89 others — read 4 September 2026
فیلمومِد @Learningvideos99 · 39,890 Telegram ranks this channel #20 of 91 here — alongside 90 others — read 31 August 2026
Medical Jozveh @medical_jozveh_channel · 127,346 Telegram ranks this channel #20 of 87 here — alongside 86 others — read 18 August 2026
Med Line | مِد لاین @Medical_line · 38,324 Telegram ranks this channel #21 of 90 here — alongside 89 others — read 1 September 2026
نکات اورژانسی بیماریها @medicalservic · 28,675 Telegram ranks this channel #23 of 73 here — alongside 72 others — read 9 September 2026
بالینوما | Balinoma @Balinoma · 22,877 Telegram ranks this channel #28 of 91 here — alongside 90 others — read 25 September 2026
نکات دستیاری | MedicalPoint @medicalpoint100 · 19,056 Telegram ranks this channel #29 of 89 here — alongside 88 others — read 2 October 2026
رزیدنتولوژی @Residentology · 21,578 Telegram ranks this channel #45 of 87 here — alongside 86 others — read 26 September 2026
رزیدنت نیوز ן دستیاری پزشکی @Medical_resident · 21,586 Telegram ranks this channel #49 of 91 here — alongside 90 others — read 25 September 2026
کانال آموزشي دكتر ژيان @drjian · 26,649 Telegram ranks this channel #50 of 90 here — alongside 89 others — read 12 September 2026
داروشناسی پزشکی @medical_drugs1 · 51,383 Telegram ranks this channel #51 of 95 here — alongside 94 others — read 24 August 2026
تشخیص های افتراقی @differential_diagnosis1 · 32,065 Telegram ranks this channel #52 of 87 here — alongside 86 others — read 5 September 2026
@lMedixl * فایل های پزشکی @lmedixl · 40,343 Telegram ranks this channel #55 of 85 here — alongside 84 others — read 31 August 2026
مدیکالیسم | medicalism @Doctor_MIB_iran · 40,380 Telegram ranks this channel #58 of 89 here — alongside 88 others — read 26 August 2026
نسخه نویسی فارمامدیکال @pharmamedicall2 · 32,214 Telegram ranks this channel #59 of 87 here — alongside 86 others — read 5 September 2026
توییتر دانشجویان علوم پزشکی 👨🏻⚕👩🏻⚕ @MSS_twitter · 18,753 Telegram ranks this channel #62 of 92 here — alongside 91 others — read 5 October 2026
کار دانشجویی علوم پزشکی | مدیلنسر @medilancer · 98,954 Telegram ranks this channel #62 of 93 here — alongside 92 others — read 18 August 2026
آموزش نسخه نویسی و طبابت استاد طب @ostaadteb · 29,957 Telegram ranks this channel #64 of 87 here — alongside 86 others — read 8 September 2026
Medical University 🏛⚕ @medicaluniversity · 83,343 Telegram ranks this channel #70 of 89 here — alongside 88 others — read 18 August 2026
Med_Skill @med_skills · 37,900 Telegram ranks this channel #75 of 92 here — alongside 91 others — read 31 August 2026
فایل های علوم پزشکی 📚PDF @MedicalFile · 31,503 Telegram ranks this channel #76 of 93 here — alongside 92 others — read 6 September 2026
📞 الو بیمارستان؟ @alo_bimarestan · 29,164 Telegram ranks this channel #77 of 95 here — alongside 94 others — read 8 September 2026
This channel appears in 35 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Internship Guide” (@intern_guide), 12,567 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/intern_guide.
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.