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
32 measurements spanning 43 days, net +132. 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 26,284–26,475 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 21:20
26,439
-6
15 Sept 2026, 15:19
26,445
-5
13 Sept 2026, 20:39
26,450
-3
12 Sept 2026, 02:00
26,453
+29
9 Sept 2026, 16:36
26,424
+38
6 Sept 2026, 08:19
26,386
+3
4 Sept 2026, 02:59
26,383
-5
2 Sept 2026, 17:38
26,388
-3
1 Sept 2026, 14:35
26,391
-1
31 Aug 2026, 17:05
26,392
-11
30 Aug 2026, 18:13
26,403
-8
29 Aug 2026, 19:24
26,411
-1
28 Aug 2026, 00:46
26,412
+13
27 Aug 2026, 04:13
26,399
+6
26 Aug 2026, 05:45
26,393
+20
25 Aug 2026, 02:46
26,373
+6
23 Aug 2026, 15:13
26,367
+5
22 Aug 2026, 03:53
26,362
+1
20 Aug 2026, 21:37
26,361
+7
19 Aug 2026, 20:16
26,354
first reading
Engagement
85 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 64 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.28%
avg views ÷ 26,439 subscribers
Avg views / post
1,400
28 posts measured
Reaction rate
0.691%
reactions ÷ views · ER floor
Posts in window
28
of 85 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 25 of 28 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 27 September 2026
Posts held
85 (3 August 2026 – 27 September 2026)
Views total
39,083
Reactions total
243
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 09:36 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
≈5,970
Videos
≈1,450
Links
≈787
Lifetime counters from Telegram’s own channel header, read 27 September 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.
Video runtime
2h 09m
Average length
7m 13s
Measured directly from 18 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.
Reaction mix
978 reactions across 70 posts, in 10 distinct kinds. The most used accounts for 67.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
656
67.1%
👍
85
8.69%
🔥
60
6.13%
👏
48
4.91%
🙏
42
4.29%
❤🔥
36
3.68%
👌
27
2.76%
🤩
17
1.74%
🥰
6
0.613%
😍
1
0.102%
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 73 of the 85 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 978 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 85 most recent posts we hold, published 3 August 2026 to 27 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.
🩺 خستگی و بدندرد مزمن؛ از علامت تا تشخیص
خستگی پایدار و بدندرد منتشر، از شکایتهای شایع در طب داخلی هستند؛ اما زمانی که این علائم تداوم پیدا میکنند، نمیتوان بدون یک رویکرد سیستماتیک، آنها را صرفاً به استرس، کمخوابی یا فعالیت روزانه نسبت داد.
در این جلسه آموزشی، با تدریس دکتر رضا ژیان، متخصص داخلی، به رویکرد بالینی بیمار مبتلا به خستگی و بدندرد مزمن میپردازیم؛ از شرححال و معاینه هدفمند تا شکلگیری تشخیصهای…
موارد مصرف این داروها در بی ام آی بیشتر و مساوی سی هست ولی در افرادی که دچار عوارض چاقی مثل فشار خون بالا،قند مختل،چربی خون بالا،کبد چرب،تخمدان پلی کیستیک،آرتروز زانوها،آپنه خواب و …هستند از بی ام آی بیشتر مساوی بیست و هفت تزریق می شوند.
برندهای آمپول تیرزپاتاید در ایران:
لینگو،اسپارتینا،زیکورپا،لانیسا،تیرزکتو و …
برندهای آمپول سماگلوتاید در ایران:
ولوریتا،سماکتو، و…
موارد مصرف این داروها در بی ام آی بیشتر و مساوی سی هست ولی در افرادی که دچار عوارض چاقی مثل فشار خون بالا،قند مختل،چربی خون بالا،کبد چرب،تخمدان پلی کیستیک،آرتروز زانوها،آپنه خواب و …هستند از بی ام آی بیشتر مساوی بیست و هفت تزریق می شوند.
برندهای آمپول تیرزپاتاید در ایران:
لینگو،اسپارتینا،زیکورپا،لانیسا،تیرزکتو و …
برندهای آمپول سماگلوتاید در ایران:
ولوریتا،سماکتو، و…
🧠 هاریسون ۲۰۲۵ به روش خلاقیت ذهنی
دیگر زمان حفظ کردن مطالب گذشته است!
در دوره هاریسون ۲۰۲۵ با تدریس دکتر ژیان، با استفاده از روش خلاقیت ذهنی، مفاهیم پیچیده پزشکی به شکلی آموزش داده میشوند که سریعتر یاد بگیرید، عمیقتر درک کنید و ماندگاری بیشتری در ذهن داشته باشند.
✅ یادگیری مفهومی به جای حفظیات
✅ افزایش سرعت یادگیری و یادآوری
✅ آموزش کاربردی و مناسب آزمونهای پزشکی
✅ تدریس روان و ساختارمند
📞 جهت ثبتنام و مشاوره: 0…
🔥🩺 کلاس تخصصی بیماریهای داخلی در پزشکهاب 🩺🔥
یک جلسه کاربردی و مهم برای علاقهمندان به مباحث بالینی 👇🏻
👨🏻⚕️ با حضور دکتر رضا ژیان
متخصص بیماریهای داخلی
📌 موضوع جلسه:
🦋 اپروچ به ندول تیروئید
🗓 ۳۰ شهریور
⏰ ساعت ۲۲:۰۰
🎯 اگر میخوای رویکرد اصولی و بالینی به ندول تیروئید رو یاد بگیری، این جلسه رو از دست نده!
📚 در کنار این جلسه، به بیش از ۲۰۰۰ کلاس ضبطشده در پزشکهاب هم دسترسی داری.
📲 برای دسترسی به کلاسها، اپل…
Showing the 12 most recent of 85 posts we hold for @drjian. 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
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 8 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.
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.
Read from Telegram’s recommendation API, most recently 12 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.
نسخه نویسی فارمامدیکال @pharmamedicall2 · 32,368 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 5 September 2026
📞 الو بیمارستان؟ @alo_bimarestan · 29,352 Telegram ranks this channel #6 of 95 here — alongside 94 others — read 8 September 2026
Med_Skill @med_skills · 37,802 Telegram ranks this channel #8 of 92 here — alongside 91 others — read 31 August 2026
" فارمامدیکال 📞 pharmamedicall@ " @pharmamedicall · 38,895 Telegram ranks this channel #8 of 89 here — alongside 88 others — read 31 August 2026
صرفا نسخه‼️ @noooskhe · 49,172 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 26 August 2026
مدرسه پزشکی | امیرمحمد قربانی @schoolofmedicine_ir · 26,542 Telegram ranks this channel #11 of 93 here — alongside 92 others — read 12 September 2026
کانال طِب اَطفال @TebeAtfal · 51,648 Telegram ranks this channel #18 of 96 here — alongside 95 others — read 25 August 2026
کانال آموزشی دکتر مینا صافی @drminasafi59 · 27,126 Telegram ranks this channel #25 of 90 here — alongside 89 others — read 11 September 2026
طب اورژانس EMERGENCY @med_info · 33,870 Telegram ranks this channel #25 of 95 here — alongside 94 others — read 3 September 2026
داروشناسی پزشکی @medical_drugs1 · 51,777 Telegram ranks this channel #30 of 95 here — alongside 94 others — read 24 August 2026
خلاصه های بالینی | مدوفست @medofast_balini · 34,184 Telegram ranks this channel #34 of 90 here — alongside 89 others — read 4 September 2026
تشخیص های افتراقی @differential_diagnosis1 · 32,379 Telegram ranks this channel #37 of 87 here — alongside 86 others — read 5 September 2026
فیلمومِد @Learningvideos99 · 38,165 Telegram ranks this channel #41 of 91 here — alongside 90 others — read 31 August 2026
MediPoints @medipoints · 75,829 Telegram ranks this channel #46 of 96 here — alongside 95 others — read 19 August 2026
زبان و پزشکی(قربانی) @medterms · 39,623 Telegram ranks this channel #49 of 82 here — alongside 81 others — read 30 August 2026
بالینوما | Balinoma @Balinoma · 21,048 Telegram ranks this channel #51 of 91 here — alongside 90 others — read 25 September 2026
رزیدنتولوژی @Residentology · 20,578 Telegram ranks this channel #52 of 87 here — alongside 86 others — read 26 September 2026
@lMedixl * فایل های پزشکی @lmedixl · 39,593 Telegram ranks this channel #54 of 85 here — alongside 84 others — read 31 August 2026
پراتیک @PeraticB · 32,294 Telegram ranks this channel #56 of 92 here — alongside 91 others — read 5 September 2026
📥منبع فایل (PDF) علوم پزشکی📤 (Medfile_Pharma) @medfile_pharma · 47,218 Telegram ranks this channel #57 of 93 here — alongside 92 others — read 27 August 2026
مدمشاور medmoshaver @medmoshaver · 23,927 Telegram ranks this channel #59 of 90 here — alongside 89 others — read 17 September 2026
آموزش نسخه خوانی @noskhe_daro · 48,012 Telegram ranks this channel #59 of 90 here — alongside 89 others — read 26 August 2026
Med Line | مِد لاین @Medical_line · 38,551 Telegram ranks this channel #63 of 90 here — alongside 89 others — read 1 September 2026
آموزش نسخه نویسی و طبابت استاد طب @ostaadteb · 29,899 Telegram ranks this channel #66 of 87 here — alongside 86 others — read 8 September 2026
This channel appears in 31 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“کانال آموزشي دكتر ژيان” (@drjian), 26,439 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/drjian.
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.