Anesthesia&ICU Education pinned a video

Channel
Anesthesia&ICU Education
@Anestedu
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,073subscribers
+24 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001498108669 |
|---|---|
| Type | Channel |
| Username | @Anestedu |
| Created | Between 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/Anestedu |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 14:58 | 6,073 | +13 |
| 9 Aug 2026, 23:35 | 6,060 | +6 |
| 7 Aug 2026, 05:12 | 6,054 | +5 |
| 6 Aug 2026, 06:32 | 6,049 | first reading |
Engagement
25 posts held, back to 13 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 9 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 44.7%
- avg views ÷ 6,073 subscribers
- Avg views / post
- 2,710
- 18 posts measured
- Reaction rate
- 0.88%
- reactions ÷ views · ER floor
- Posts in window
- 23
- of 25 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 17 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 25 (13 July 2026 – 10 August 2026) |
| Views total | 48,837 |
| Reactions total | 411 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:35 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
- 5m 59s
- Average length
- 1m 12s
Measured directly from 5 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
421 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 59.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 251 | 59.6% | |
| 💔 | 153 | 36.3% | |
| 🔥 | 17 | 4.04% |
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 19 of the 25 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 426reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 13 July 2026 to 10 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.
Recent posts
توضیحات استاد گرانقدر اقای دکتر سام زراعتیان در مورد ساختار و عروق داخل قفسه سینه در حین جراحی #Anatomy #Cardiac_Surgery #Operation_Room @Vita_Teb @anestedu
❤9
Signed Hadi Feyzolahzadeh
Anesthesia&ICU Education pinned a file
کتاب بیهوشی و بیماری های همراه 😍 2027 Last Edition #Co_Existing @ANESTHESIALINK @anestedu @Vita_Teb
❤8
Signed Hadi Feyzolahzadeh
ویدئویی از لحظه زلزله ۷.۱ ریشتری "کوماموتو" ژاپن (۹ روز پیش) در یک اتاق عمل @anestedu
💔32
Signed Hadi Feyzolahzadeh
آیا گاباپنتین خطر دمانس را افزایش می دهد؟ #ICU #Dementia @Vita_teb @anestedu
❤14
Signed Hadi Feyzolahzadeh
بهبود حال بیمار همیشه به فناوریهای پیشرفته وابسته نیست؛ گاهی نتیجهی نوآوریهای ساده اما هوشمندانه است. یک دستکش پرشده از سرم نرمال سالین میتواند بهعنوان یک بالشتک نرم برای دستهای آسیبپذیر عمل کند. این کار با توزیع مجدد فشار، به پیشگیری از ایجاد زخم فشاری کمک میکند و در عین حال، حس آرامشبخشِ «در دست داشتن» را برای بیمار ایجاد میکند #ICU @anestedu
❤86
Signed Hadi Feyzollahzadeh
کل نکات داخلی جراحی ارشد ۱۴۰۴ مطابق با کتاب برونر سودارث این فایل رو مقایسه کنید با کسانی که تمام کارشون حاصل زحمت های Chat Gpt هست برای مشاوره و درس داخلی_جراحی ارشد👇 @master_nursing1 @ah_sharifi78 @anestedu
❤10
Signed Hadi Feyzollahzadeh
چگونه جابجایی لیدهای اندامی را در نوار قلب تشخیص دهیم #ECG #ICU_OH @anestedu
❤9
Signed Hadi Feyzollahzadeh
♨️📢 آگهیهای استخدامی امروز دوشنبه ۵ مرداد ۱۴۰۵ 👨⚕️👩⚕️ فرصتهای شغلی جدید برای رشتهٔ هوشبری: 🏥 تهران (منطقه ۱۶ – علیآباد): • درمانگاه شبانهروزی سلیم | کارشناس بیهوشی [مشاهده آگهی] 🏥 تهران (منطقه ۱۸ – یافتآباد): • بیمارستان خیریه غیاثی | کارشناس بیهوشی [مشاهده آگهی] 🏥 تهران (منطقه ۱ – قیطریه): • درمانگاه نسیم قیطریه | کارشناس بیهوشی [مشاهده آگهی] ⚠️ شرایط کامل، شماره تماس و نحوه ارسال رزومه در لینکهای بالا…
Signed Hadi Feyzollahzadeh
🫁 دوره تخصصی پرستاری مراقبتهای ویژه ICU (General & OH) 👨🏫 مدرس دوره: دکتر یاسر سعید ● دانشیار دانشکده پرستاری ● عضو هیئت علمی دانشگاه علوم پزشکی بقیهالله (عج) ● مدرس کشوری دورهها و کارگاههای تخصصی مراقبتهای ویژه ⏳ مدت دوره: ۶۰ ساعت آموزش تخصصی - (۴۰ ساعت مباحث مشترک + ۲۰ ساعت مباحث اختصاصی ICU-OH) 💻 نحوه برگزاری: آنلاین در بستر اسکایروم 🕒 زمان برگزاری: پنجشنبه ها ساعت ۸ الی ۱۲ - در قالب جلسات ۴ ساعته 📜 …
❤2
Signed Hadi Feyzollahzadeh
راهکارهای پیشنهادی برای پیشگیری از عفونت کاتتر شریانی(Arterial line) 👇Clinical Case 👇 https://t.me/Anestedu/857 #ICU_OH #Nursing #Cardiac_Surgery @anestedu
❤5
Signed Hadi Feyzollahzadeh
Showing the 12 most recent of 25 posts we hold for @Anestedu. 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 — 24,556 of 1,151,006entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 7 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.
@ArumsAnes99 · 9416 postsآکادمی آموزش مراقبت های ویژه درمانی ایران( ASCTI)
@MedicalCrisisChannel · 2,0086 postsآکادمی مراقبت های ویژه VITA
@VITA_Teb · 1233 postsآفا | آکادمی فوریت های پزشکی دانشگاه علوم پزشکی آزاد تهران
@afa_iautms · 2941 postکمیته تحقیقات و فناوری دانشجویی دانشکده پزشکی
@medical_src_muk · 2631 postكميته تحقيقات وفناوری دانشجويى تهران پزشكى
@msrciautmu · 1,9181 postانجمن علمی فوریت های پزشکی دانشگاه علوم پزشکی البرز
@SAMEABZUMS · 681 post
Names
Channels on the register whose handles appear in this channel's posts.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Anesthesia&ICU Education” (@Anestedu), 6,073 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Anestedu.
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.