3 measurements spanning 13 days, net +50. 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 137–202 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Oct 2026, 14:45
194
+40
6 Oct 2026, 03:19
154
+10
1 Oct 2026, 14:22
144
first reading
Engagement
12 posts held, back to 2 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
88.9%
avg views ÷ 194 subscribers
Avg views / post
173
2 posts measured
Reaction rate
3.19%
reactions ÷ views · ER floor
Posts in window
2
of 12 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 30 September 2026
Posts held
12 (2 July 2026 – 30 September 2026)
Views total
345
Reactions total
11
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Oct 2026, 14:22 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
61 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 55.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
34
55.7%
❤
24
39.3%
👎
2
3.28%
⚡
1
1.64%
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 8 of the 12 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 61 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 2 July 2026 to 30 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.
برای شروعِ پژوهش، نباید پشت درهای بسته ماند. 🚪🚫
احتمالاً برای تو هم پیش اومده: تصمیم گرفتی وارد دنیای پژوهش بشی، اما هرجا سر زدی یه سد بزرگ جلو پات بوده؛ یا تیم‌ها به دانشجوهای بدون رزومه فرصت نمیدن، یا انتظار دارن بدون هیچ آموزشی، از همون روز اول یه مقاله‌نویس حرفه‌ای باشی. 📉
ما تو «ویتالی» از همین نقطه شروع کردیم. 🚀
باور ما ساده اس: هیچ‌کس با رزومه متولد نمیشه. پژوهشگر بودن یه استعداد مادرزادی نیست، مهارتیه که ب…
🤖🧠 قبل از جراحی مغز، یک دستیار هوش مصنوعی نقشه راه را آماده کند
در جراحیLow-Grade Gliomas، جراح همیشه در لبه تیغ حرکت می‌کند:
> چالش بزرگ: حداکثر تخلیه تومور برای افزایش بقای بیمار، بدون آسیب زدن به مسیرها و نواحی حیاتی مغز (Eloquent Areas).
اینجاست که پیوند Neurosurgery و AI نقشه بازی را تغییر می‌دهد! 👇
محققان ۸ مطالعه برجسته را بررسی کردند که در آن‌ها مدل‌های Deep Learning برای تصمیم‌گیری‌های حساس جراحی به کار گ…
Vitali⚕️ pinned «🫀 فراخوان همکاری پژوهشی | پروژه سیستماتیک ریویو و متاآنالیز سلام به همراهان گروه پژوهشی ویتالی! 👋 بعد از استقبال فوق‌العاده از فراخوان اول، نوبت به دومین پروژه تخصصی ما رسید! 🚀 اگر دوست داری وارد دنیای پژوهش در حوزه قلب و عروق بشی و به صورت عملی مهارت مقاله‌نویسی…»
🫀 فراخوان همکاری پژوهشی | پروژه سیستماتیک ریویو و متاآنالیز
سلام به همراهان گروه پژوهشی ویتالی! 👋
بعد از استقبال فوق‌العاده از فراخوان اول، نوبت به دومین پروژه تخصصی ما رسید! 🚀
اگر دوست داری وارد دنیای پژوهش در حوزه قلب و عروق بشی و به صورت عملی مهارت مقاله‌نویسی رو یاد بگیری، این فرصت برای توست:
📚 موضوع پروژه:
«مرور سیستماتیک و متاآنالیز در حوزه کاردیولوژی و مداخلات نوین قلبی‌عروقی»
(موضوعی کاربردی، دارای Nove…
🥳 سلام به همراهان عزیز کانال
بالاخره خبر خوشی که منتظرش بودیم رسید!
مقاله سیستماتیک ریویو و متاآنالیزمون که با همکاری گروه جراحی اعصاب بیمارستان شهدای تجریش کار کرده بودیم، تو ژورنال CHL Perspectives in Medicine(Q1) اکسپت شد. 🎯✨
📄 موضوع پژوهش:
بررسی نقش سطح و مکمل ویتامین D در بیماران کاندید جراحی ستون فقرات
یه تبریک خیلی خیلی ویژه به تک‌تک اعضای گل تیم نویسندگان؛ دمتون گرم که با دقت و انگیزه این پروژه رو به سرانجا…
🫀🔥 عاشقان حیطه قلب و کاردیولوژی، آماده باشین!
به‌زودی یک فراخوان جذاب برای نگارش مقاله در حوزه قلب و عروق منتشر میکنیم؛
با یک موضوع به‌روز و خفن با Novelty بالا ✨
و منتورینگ تخصصی یکی از رزیدنت‌های برجسته قلب دانشگاه تهران 👨⚕️📚
فرصتی عالی برای تجربه پژوهش حرفه‌ای، کار تیمی و تقویت رزومه علمی 🚀
با ویتالی همراه باشین 💙
@vitalism_med
فراخوان پژوهشی ۱۶ مرداد ۱۴۰۵
سلام به همه علاقه‌مندان به پژوهش! 👋
بالاخره وقتش رسید! 🚀 ما تو گروه پژوهشیمون تصمیم گرفتیم اولین فراخوان مقاله‌نویسی رو بدیم و خیلی خوشحالیم که قراره اعضای جدیدی به تیممون اضافه بشن. 🤩
اگه همیشه دوست داشتی وارد دنیای پژوهش بشی و رزومه علمیت رو قوی کنی، این یه فرصت عالیه! ما قراره یه پروژه خفن «سیستماتیک ریویو و متاآنالیز» (Systematic Review & Meta-analysis) با موضوع 《هوش مصنوعی و تصوی…
🧬 به ویتالی خوش اومدی!
تا حالا شده با خودت بگی:
❌ «من هنوز رزومه ندارم…»
❌ «مقاله نوشتن فقط کار دانشجوهای قویه…»
❌ «اول باید کلی سابقه داشته باشم، بعد وارد پژوهش بشم…»
اگر جوابت «آره» بوده، پس این کانال دقیقاً برای توئه. 💚
اینجا قرار نیست فقط درباره پژوهش حرف بزنیم؛
اینجا قراره پژوهش رو یاد بگیریم.
📚 از اولین قدم‌ها…
📝 تا نوشتن مقاله
🔍 پیدا کردن ایده‌های نو
📊 آشنایی با روش تحقیق و آمار
🤝 همکاری در پروژه‌های علمی…
Showing the 12 most recent of 12 posts we hold for @vitalism_med. 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.
Mentions
Named by 1 registered channel — 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 14 October 2026 — this
entry's latest reading, not the date you are reading this.
“Vitali⚕️” (@vitalism_med), 194 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/vitalism_med.
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.
