Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 9 October 2026 and assigned it the closest of 31 fixed categories, at 73% 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
6 measurements spanning 22 days, net +9. 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 1,275–1,290 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Oct 2026, 23:06
1,286
-2
14 Oct 2026, 03:37
1,288
+4
9 Oct 2026, 18:55
1,284
-1
3 Oct 2026, 02:56
1,285
+8
25 Sept 2026, 05:22
1,277
no change
25 Sept 2026, 04:47
1,277
first reading
Engagement
19 posts held, back to 21 July 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
34.1%
avg views ÷ 1,286 subscribers
Avg views / post
438
3 posts measured
Reaction rate
3.04%
reactions ÷ views · ER floor
Posts in window
3
of 19 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 23 September 2026
Posts held
19 (21 July 2026 – 23 September 2026)
Views total
1,315
Reactions total
40
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Sept 2026, 05:22 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.
Reaction mix
178 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 73.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
130
73.0%
👍
27
15.2%
👏
11
6.18%
🙏
9
5.06%
🔥
1
0.562%
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 17 of the 19 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 178 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 21 July 2026 to 23 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.
#بیخوابی
#کامپرنسیو2025
یکی از درمان های غیر دارویی بی خوابی، درمان کنترل محرک هست که روانپزشک با بیمار خودش این ها رو آموزش میده و باهاش کار میکنه.
در ادامه آنچه میخونید، ترجمه خط به خط کتاب کامپرنسیو ۲۰۲۵ رفرنس روانپزشکی هست:
Stimulus Control Therapy
درمان کنترل محرک، یک درمان شرطی زدایی هست که توسط ریچارد بوتزین و همکارانش در دانشگاه آریزونا ایجاد شد.
این درمان می خواد که سیکل مشکلاتی که باعث سختی در شروع خو…
#بیخوابی
#کامپرنسیو2025
#insomnia
هفت ماه از زمانی که مطب روانپزشکی شخصی خودم رو افتتاح کردم، می گذره.
من قبلا در بیمارستان روانپزشکی کار می کردم، و بیشتر بیمارانی که درمان می کردم، بیماران شدید و مزمن روانپزشکی بودند، که بستری های متعدد داشتند، مثل بیماران اسکیزوفرنی، بیماران دوقطبی، بیماران اعتیاد، و افسردگی های شدید با اقدام به خودکشی.
از روزی که کار در مطب رو شروع کردم، متوجه شدم که شکایت های روانپزشکی بیماران…
معرفی #فیلم
فیلم سینمایی "قسممیخورم" داستان پسری هست که درست در زمانی که توی مدرسه و ورزش فوتبال داره استعدادش شکوفا میشه، دچار بیماری "تیک" و "سندرومتوره" میشه.
این فیلم بر اساس زندگی واقعی هست، و من با دیدنش خیلی متاثرو ناراحت شدم. انگار این فیلم داره از زمانی صحبت میکنه که کسی اینسندرومنمیشناخته و اطرافیان خیلی باهاش بد برخورد میکنند...
اگر در اطرافیان شما کودکی هست که مبتلا به تیک یا سندرومتوره هست…
تبریک میگم به عزیزانی که به نتیجه دلخواهشون رسیدن و آزمون کتبی بورد رو قبول شدن
بنظرم واقعا شاهکار کردین
با وجود استرس جنگ و قطعی اینترنت
تونستین اضطرابتون رو مدیریت کنین و امتحانو به خوبی پاس کنید.
🩵🩵🩵💛💛💛🧡🧡💚💚💙💙💗💗💗💞💓💓💫💫💫💫
حواستون باشه به نمره کتبی خودتون مغرور نشید. بطور جدی بفکر آزمون شفاهی باشید و با لینک زیر ثبت نام کنید👇👇👇
🔹 جهت دریافت کارت آزمون شفاهی و الکترونیک دانشنامه پزشکی روی لینک زیر کلیک کنید👇👇👇
https…
#فیدبک #رضایت
امروز این پیام پراز محبت و انگیزه رو از همکار عزیزم گرفتم، که پارسال بورد قبول شدن.
امیدوارم هر کسی زحمت میکشه در این مسیر، نتیجه زحماتشو اونجور که دلش میخواد ببینه 🌷❤️
#فیدبک #رضایت
روز پزشک تبریک به همه دوستان و همکاران عزیز
خصوصا دوستانی که هرگز از نزدیک ندیدمشون
ولی به واسطه درس خوندن و مطالعه، بهترین رابطه دوستی بین ما شکل گرفته.
پزشکی راه خیلی طولانی و پر پیچ و خمی هست.
اولش که این رشته رو قبول میشی، همه چی رو فدا می کنی و همش منتظری به آخرش برسی.
به آخرش که میرسی برمیگردی عقب و نگاه میکنی و حسرت فرصت های از دست رفته رو میخوری...
من اگر بتونم به عقب برگردم، سعی میکنم خیلی ب…
#مقالات_به_روز_روانپزشکی
#مقاله۲۰۲۶
#لیتیوم
⁉️چه طور ریسک اختلالات کلیه را در درمان با لیتیوم کم کنیم؟
✅ هرچه دوز لیتیوم بیشتر، ریسک مشکل کلیه بیشتر، پس سعی کنیم سطح سرمی لیتیوم را بین 0.6 تا 0.8 نگه داریم.
✅ بهتره تک دوز تجویز کنیم و همون دوز هم شب مصرف بشه. نیمه عمر لیتیوم تقریبا نزدیک به ۲۴ساعت هست.
⁉️ چه کسانی ریسک فاکتور دارند برای مشکل کلیه با لیتیوم؟
- خانم ها، مصرف مزمن
- مصرف همزمان NSAID و داروهای فشا…
❤11👍3🙏2
Signed Nasim🕊
Showing the 12 most recent of 19 posts we hold for @NasimKamalAhmadi. 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.
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.
" کاپلان و سادوک " @KAPLAN_SADOCKS · 20,996 Telegram ranks this channel #6 of 83 here — alongside 82 others — read 25 September 2026
پُرتال تدریسهای صوتی روانشناسی @PsyPortalVoice · 19,826 Telegram ranks this channel #16 of 94 here — alongside 93 others — read 30 September 2026
This channel appears in 2 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 16 October 2026 — this
entry's latest reading, not the date you are reading this.
“آموزش روانپزشکی با دکتر نسیم کمال احمدی” (@NasimKamalAhmadi), 1,286 subscribers as measured 16 October 2026. Telegram Register, tgregister.com/channel/NasimKamalAhmadi.
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.