4 measurements spanning 7 days. 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 3,952–3,954 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 16:48
3,953
-1
10 Aug 2026, 13:33
3,954
+2
7 Aug 2026, 03:27
3,952
-1
6 Aug 2026, 19:31
3,953
first reading
Engagement
19 posts held, back to 6 May 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 4 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
19.3%
avg views ÷ 3,953 subscribers
Avg views / post
764
2 posts measured
Reaction rate
0.589%
reactions ÷ views · ER floor
Posts in window
2
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 4 August 2026
Posts held
19 (6 May 2025 – 4 August 2026)
Views total
1,527
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 05:46 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
240 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 52.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
127
52.9%
👍
67
27.9%
😍
26
10.8%
👌
14
5.83%
🔥
5
2.08%
🙏
1
0.417%
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 14 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 240reactions 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 6 May 2025 to 4 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.
نسخه نویسی تغذیه بالینی 📑
دوره ای تخصصی و جامع
مختص دانشجویان👩🏫 و فارغ التحصیلان👨🎓 تمامی مقاطع رشته ی تغذیه
با حضور
🎗دکتر محمدی فارسانی
🎗دکتر حامد محمدی
📌هیئات علمی دانشگاه علوم پزشکی تهران
📎به دو صورت آنلاین و آفلاین
📜همراه با گواهی قابل استعلام و کد دار
📚با اهدای تخفیف کورس مهارت های کلیدی تغذیه بالینی (ترمینولوژی_سیمیولوژی_آنتروپومتری_تداخلات غذا و دارو_تفسیر داده های آزمایشگاهی) جعبه ابزار رژیم های تخصصی
ل…
💢 رژیم FMD (Fasting Mimicking Diet) یا مقلد روزهداری، نوعی رژیم فستینگ میباشد و هدف آن این است که بدن بسیاری از پاسخهای متابولیک روزهداری را تجربه کند، بدون اینکه فرد کاملاً از خوردن غذا محروم شود.
💢 در این رژیم معمولاً به مدت ۵ روز، کالری دریافتی به حدود ۳۰ تا ۵۰ درصد نیاز روزانه کاهش مییابد و ترکیب غذایی شامل پروتئین کم، قند پایین، چربیهای سالم و فیبر بالا است. سپس فرد به رژیم غذایی عادی و سالم خود بازمیگرد…
💢 نمونه کاربردی منوی رژیم FMD همراه با ترکیب کالری و درشت مغذیهای روزانه
❇️ منبع:
Fasting-Mimicking Diet Is Safe and Reshapes Metabolism and Antitumor Immunity in Patients with Cancer 2022
https://doi.org/10.1158/2159-8290.cd-21-0030
🔶کانال دانش تغذیه و آنکولوژی
🔶@OncoNut
💉مزوتراپی لاغری
➖مکمل های کاهش وزن
💊دارو های لاغری موجود در بازار
☑️در کارگاه حضوری دارو ها و مکمل های کاهش وزن
۱۲ دی ماه ۱۴۰۴ - مشهد
⭐دکتر حسین ایمانی
دانشیار تغذیه دانشگاه علوم پزشکی تهران
📍مکان: مشهد | مجتمع شهدای سلامت(برج سفید)
🫂 - ظرفیت: ۱۰۰ نفر
💰هزینه ثبت نام:
۲ میلیون و ۵۰۰ هزار تومان دارو ها و مکمل های کاهش وزن
⚫یک میلیون تومان تخفیف ثبت نام مشترک هر دو برنامه
🔗لینک ثبت نام:
https://insa.ir/mshd/
پ…
✔کارگاه تکنولوژی های لاغری موضعی
۱۱ و ۱۲ دی ماه ۱۴۰۴ - مشهد
⭐دکتر حسین ایمانی
دانشیار تغذیه دانشگاه علوم پزشکی تهران
📍مکان: مشهد | مجتمع شهدای سلامت(برج سفید)
🫂 - ظرفیت: ۱۰۰ نفر
💰هزینه ثبت نام:
۲ میلیون و ۹۰۰ هزار تومان تکنولوژی های لاغری
⚫تخفیف ثبت نام:
یک میلیون تومان تخفیف ثبت نام مشترک با برنامه مکمل و دارو
🔗لینک ثبت نام:
https://insa.ir/mshd/
پشتیبانی و کسب اطلاعات بیشتر:
@Dieton_admin
---------------…
✔کارگاه تکنولوژی های لاغری موضعی
۱۱ و ۱۲ دی ماه ۱۴۰۴ - مشهد
☑️کارگاه دارو ها و مکمل های کاهش وزن
۱۲ دی ماه ۱۴۰۴ - مشهد
⭐دکتر حسین ایمانی
دانشیار تغذیه دانشگاه علوم پزشکی تهران
📍مکان: مشهد | مجتمع شهدای سلامت(برج سفید)
🫂 - ظرفیت: ۱۰۰ نفر
💰هزینه ثبت نام:
۵ میلیون و ۴۰۰ هزار تومان ثبت نام تفکیکی دو کارگاه
۲ میلیون و ۹۰۰ هزار تومان تکنولوژی های لاغری
۲ میلیون و ۵۰۰ هزار تومان دارو ها و مکمل های کاهش وزن
⚫تخفیف ثبت …
ابلاغ ترکیب جدید انجمن علمی دانشجویی کشوری علوم تغذیه (اینسا)
💢💢💢💢💢💢💢💢💢💢💢💢💢💢💢💢
بر اساس این ابلاغیه که از سوی معاونت فرهنگی و دانشجویی وزارت بهداشت صادر شده، ترکیب اعضای شورای مرکزی و دبیر انجمن مذکور به شرح زیر است:
❇️اعضای اصلی (آقایان و خانمها):
🔹مهدی امیرپور-دانشگاه علوم پزشکی شهید بهشتی (دبیر)
🔹زهرا فرضی-دانشگاه علوم پزشکی لرستان
🔹فاطمه سادات نواب-دانشگاه علوم پزشکی اصفهان
🔹آیناز محمدیان-دانشگاه علوم پزشکی…
به استحضار می رساند مرکز تحقیقات ریزمغذی ها در پژوهشکده علوم غدد درون ریز و متابولیسم دانشگاه علوم پزشکی شهید بهشتی تهران چندین طرح تحقیقاتی مصوب برای اجرا دارد.
دانشجویان و فارغ التحصیلان علاقه مند به امور تحقیقاتی و پژوهشی جهت مشارکت در انجام نمونه گیری طرح های تحقیقاتی و تقویت رزومه پژوهشی می توانند برای کسب اطلاعات بیشتر و ثبت درخواست خود با شماره تلفن ۲۲۴۳۲۵۰۰ داخلی ۴۴۲ یا ۴۴۳ یا ۴۴۴ در ساعات ۷:۳۰ صبح تا ۲:۳۰ بع…
ابلاغ ترکیب جدید بورد علوم تغذیه وزارت بهداشت
ترکیب جدید اعضای هیئت ممتحنه و ارزشیابی (بورد) رشته علوم تغذیه از سوی وزارت بهداشت، درمان و آموزش پزشکی ابلاغ شد. بر اساس این ابلاغیه، ترکیب بورد دچار تغییراتی قابل توجه شده است.
در ترکیب جدید، پنج عضو پیشین شامل دکتر محمدجواد حسینزاده عطار، دکتر احمد اسماعیلزاده، دکتر لیلا آزادبخت، دکتر مریم جوادی و دکتر علیرضا استادرحیمی از بورد خارج شدهاند. در مقابل، دکتر هادی طبی…
❤37👍7👌4
Showing the 12 most recent of 19 posts we hold for @iran_insa. 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.
Citation-graph rank
Citation-graph rank — 123,672 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 11 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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“اینسا | انجمن تغذیه کشور” (@iran_insa), 3,953 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/iran_insa.
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.