National news — 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 63% 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
33 measurements spanning 43 days, net +78. 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 20,272–20,428 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 03:38
20,402
-2
15 Sept 2026, 22:41
20,404
+12
14 Sept 2026, 05:20
20,392
-5
12 Sept 2026, 10:38
20,397
-13
10 Sept 2026, 05:01
20,410
+3
6 Sept 2026, 19:57
20,407
+10
4 Sept 2026, 04:20
20,397
+29
2 Sept 2026, 16:54
20,368
-2
1 Sept 2026, 18:35
20,370
-1
30 Aug 2026, 21:02
20,371
+8
29 Aug 2026, 21:17
20,363
+3
28 Aug 2026, 20:28
20,360
-8
27 Aug 2026, 22:18
20,368
-1
26 Aug 2026, 19:14
20,369
-1
25 Aug 2026, 22:02
20,370
-2
24 Aug 2026, 23:08
20,372
-3
23 Aug 2026, 12:47
20,375
-13
21 Aug 2026, 22:28
20,388
-13
20 Aug 2026, 19:53
20,401
+18
19 Aug 2026, 16:22
20,383
first reading
Engagement
182 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.8%
avg views ÷ 20,402 subscribers
Avg views / post
3,630
46 posts measured
Reaction rate
1.23%
reactions ÷ views · ER floor
Posts in window
46
of 182 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 42 of 46 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 2 September 2026
Posts held
182 (2 August 2026 – 2 September 2026)
Views total
167,190
Reactions total
1,907
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 00:52 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
Video runtime
30m 25s
Average length
2m 32s
Measured directly from 12 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
7,620 reactions across 169 posts, in 6 distinct kinds. The most used accounts for 44.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,349
44.0%
👍
2,639
34.6%
👎
791
10.4%
🕊
666
8.74%
😘
136
1.78%
🙏
39
0.512%
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 175 of the 182 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 7,852 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 182 most recent posts we hold, published 2 August 2026 to 2 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.
همزمان با اجرای مصوبه افزایش ظرفیت پزشکی، هزاران دانشجوی جدید با تعهد خدمت در مناطق محروم وارد رشته پزشکی شدهاند. فقط از سال ۱۴۰۰ تا ۱۴۰۷، حدود ۴۵ هزار نفر از این مسیر وارد پزشکی خواهند شد.
پ ن:برای طرح پزشک خانواده نیروهای تعهدی به اندازه ای هست که کسی صداش در بیاد با هزار تعهدی که گرفتند ازش خفتش کنند.
خیلی زود به بازار می رسند
🚨 تنها ۱۵ درصد ظرفیت پزشکی برای رقابت آزاد باقی میماند
🔴 کلیات طرح اصلاح قانون «برقراری عدالت آموزشی» در کمیسیون آموزش مجلس تصویب شده؛ طرحی که به دنبال کاهش محدودیتها و تسهیل تعهد خدمت پزشکان مناطق محروم است.
بر اساس گزارش مرکز تحقیقات ثریا، قانون امکان اختصاص تا ۳۰ درصد ظرفیت پزشکی به متعهدین خدمت مناطق محروم را فراهم کرده، اما در سالهای اخیر عملاً فقط حدود ۳ تا ۵ درصد این ظرفیت استفاده شده است؛ موضوعی که بیش ا…
روسای دانشگاههای علوم پزشکی توی این جلسه وقتی خواستید از دست اوردهاتون بگید حتما از به خاک سیاه نشوندن چند صد هزار جوان و فارغ التحصیل ایرانی هم بگید بی شرف ها
https://t.me/behdashtian/52126
قبلا هم گفتم شرکت در کلاس های دکتر اویس صالحی بزرگترین سرمایه گذاری یک پزشک روی سوادش هست،
سوادی که همراه با فهم مطلب هست نه با حفظ مطلب.
این کلاس رو تشریف بیارید تا آموزش هایی که گرفتید رو بتونید قشنگ با هم مقایسه کنید.
از داخل استوری باید برید درخواست بدید.
https://www.instagram.com/dr.oveissalehi?igsi=NHJoY2U5Z2N0aGx5
ترجمه ماشین:
پرزیدنت ترامپ به فاکس نیوز گفت که امشب شمار زیادی از رادارهای ایران هدف قرار گرفتهاند.
پرزیدنت ترامپ گفت: «آنها تلاش کردند رادارهایشان را بازسازی کنند، چون نمیتوانند چیزی ببینند. ما صبر کردیم تا تقریباً ساخته شود و بعد آن را هدف قرار دادیم.»
رئیسجمهور گفت اگر ایران پاسخ دهد، «ضربات بسیار سختتری خواهند خورد... اگر کار به بار سوم برسد، آنها بهعنوان یک کشور کاملاً نابود خواهند شد.»
TreyYingst
📡 @V…
ارمین جنت خواه یه چیزایی میگه که آدم به مرور زمان میفهمه چی بوده،چی گفته واقعا:
تمام چپها برای احیای جمهوری اسلامی و احیای اصلاحطلبی برمیگردند چون میدونند انگل هستند و به خودی خود قدرتی ندارند.
در دادههای ۲۰۱۴-۲۰۱۷ حدود ۶۷٪ استفاده از مراکز عمومی و فقط ۲۱٪ از خصوصی گزارش شده است.
در سال ۲۰۱۸، در یک بررسی بیمارستانی ونزوئلا ۷۶٪ مراکز اختلال آزمایشگاه و ۷۰٪ اختلال رادیولوژی گزارش کرده بودند. حتی برای برخی اقدامات، بیمار مجبور بود خودش سرنگ، دارو یا وسایل جراحی تهیه کند.
در دادههای ۲۰۱۴-۲۰۱۷، از ۲۱٪ استفادهکنندگان بخش خصوصی، ۱۲.۵٪ بیمه داشتند و فقط ۸.۵٪ مستقیم از جیب پرداخت میکردند.
https://pmc.ncbi.nlm.n…
در اوج تورم ونزوئلا ۹۴.۶٪ جمعیت به سیستم عمومی وابسته شده بودند چون توان پرداخت بخش خصوصی را نداشتند.
https://www.analesdenutricion.org.ve/ediciones/2026/1/art-7?utm_source=chatgpt.com
هنوز راه ارتباطی برای این افرها پیدا نکردم؛
با توجه به اینکه وزارت بهداشت عمان از طریق کاریاب ها هم گاها جذب نیرو میکنه و با توجه به اینکه توی افرها کلمه مدیکال افیسر هست باید بخش دولتی باشه
و البته رنج حقوقهاشم مال دولتیه
ولی نوشته هندی میخان البته
شاید اگر هندی یا اردو کمی بفهمید و توی سی وی باشه یوقت برید قاطی سی وی ها
بررسی بشه
همینا رو کاریاب ها بهتون میفروشند به اسم موقعیت شغلی،
اینجا گذاشتمش جاشم مشخصه برای…
❤8👎1
Showing the 12 most recent of 182 posts we hold for @ghavaninesenfi. 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
@ghavaninesenfi 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
23 August 2026
Most recent edit
23 August 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 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.
كانال كاريابي پزشكان @karyabip · 22,989 Telegram ranks this channel #1 of 80 here — alongside 79 others — read 19 September 2026
کانال آموزشي دكتر ژيان @drjian · 26,439 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 12 September 2026
صرفا نسخه‼️ @noooskhe · 49,248 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 26 August 2026
طب اورژانس EMERGENCY @med_info · 33,898 Telegram ranks this channel #2 of 95 here — alongside 94 others — read 3 September 2026
Med_Skill @med_skills · 37,802 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 31 August 2026
کانال طِب اَطفال @TebeAtfal · 51,629 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 25 August 2026
مدمشاور medmoshaver @medmoshaver · 23,902 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 17 September 2026
پُست کشیک @postkeshik · 39,335 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 31 August 2026
صدای دانشجو @S_Daneshju · 29,156 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 8 September 2026
سازمان نظام پزشکی جمهوری اسلامی ایران @IRIMCCHANNEL · 41,286 Telegram ranks this channel #6 of 95 here — alongside 94 others — read 29 August 2026
medistU | مدیستیو @medistU · 53,598 Telegram ranks this channel #6 of 96 here — alongside 95 others — read 24 August 2026
مدرسه پزشکی | امیرمحمد قربانی @schoolofmedicine_ir · 26,480 Telegram ranks this channel #7 of 93 here — alongside 92 others — read 12 September 2026
آموزش نسخه نویسی و طبابت استاد طب @ostaadteb · 29,780 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 8 September 2026
Medical Jozveh @medical_jozveh_channel · 123,871 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 18 August 2026
🧬Medical_Science_Apply✈ @Medical_Science_Apply · 28,846 Telegram ranks this channel #14 of 95 here — alongside 94 others — read 9 September 2026
کانال آموزشی دکتر مینا صافی @drminasafi59 · 27,126 Telegram ranks this channel #19 of 90 here — alongside 89 others — read 11 September 2026
@lMedixl * فایل های پزشکی @lmedixl · 39,491 Telegram ranks this channel #21 of 85 here — alongside 84 others — read 31 August 2026
کاریابی علوم پزشکی کشور @medicalniazmandiha · 22,074 Telegram ranks this channel #22 of 87 here — alongside 86 others — read 21 September 2026
دکتر ظریفی پزشک کودکان @doctor_zarifi · 55,806 Telegram ranks this channel #22 of 87 here — alongside 86 others — read 23 August 2026
Medical University 🏛⚕ @medicaluniversity · 82,425 Telegram ranks this channel #23 of 89 here — alongside 88 others — read 18 August 2026
📞 الو بیمارستان؟ @alo_bimarestan · 29,372 Telegram ranks this channel #26 of 95 here — alongside 94 others — read 8 September 2026
خلاصه های بالینی | مدوفست @medofast_balini · 34,184 Telegram ranks this channel #28 of 90 here — alongside 89 others — read 4 September 2026
معاونت آموزشی وزارت بهداشت @mededu_ir · 23,944 Telegram ranks this channel #33 of 91 here — alongside 90 others — read 17 September 2026
مدیکالیسم | medicalism @Doctor_MIB_iran · 40,375 Telegram ranks this channel #33 of 89 here — alongside 88 others — read 26 August 2026
This channel appears in 36 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“قوانین صنفی پزشکان(هموطنان سپهرِبابا)” (@ghavaninesenfi), 20,402 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ghavaninesenfi.
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.