Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (1 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 31 July 2026 to 2 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 3, the earliest publisher we hold is @Anestech_ir — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
10 measurements spanning 31 days, net -6. 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 2,235–2,248 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Sept 2026, 21:56
2,236
-2
1 Sept 2026, 11:09
2,238
+1
26 Aug 2026, 12:11
2,237
-1
23 Aug 2026, 07:44
2,238
-1
19 Aug 2026, 08:58
2,239
-1
16 Aug 2026, 08:58
2,240
-3
12 Aug 2026, 19:16
2,243
-3
10 Aug 2026, 03:11
2,246
+3
7 Aug 2026, 04:05
2,243
+1
6 Aug 2026, 06:34
2,242
first reading
Engagement
19 posts held, back to 31 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 2 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
2 reactions across 1 post, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2
100.0%
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 2 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 2 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 31 July 2026 to 2 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.
🌄 صبح همگی به خیر و سلامتی
📅 یکشنبه ۱۱ مرداد ۱۴۰۵
🔄 «پزشک خوب بیماری را درمان میکند؛ پزشک بزرگ، بیماری را که آن بیماری را دارد درمان میکند.»
— سر ویلیام اوسلر
🩺 امروز که با چهرههای گوناگون بیماران روبرو میشوی، به یاد داشته باش که پشت هر پرونده، یک انسان با تمام ترسها، امیدها و داستان زندگیاش ایستاده است. مهارت تو تنها در تنظیم داروها و خواندن مانیتورها خلاصه نمیشود، بلکه در تواناییات برای دیدن «فرد» پشت «بی…
📢⏳ فوری: زمان ثبتنام آزمون کارشناسی ارشد علوم پزشکی یک هفته عقب افتاد
رفقای هوشبری که برای ارشد ثبتنام آماده شده بودید، بدونید که ثبتنام امروز شروع نشد و به خاطر مشکل فنی سامانه، حداکثر یک هفته به تعویق افتاد. 📣
💢 طبق اعلام رسمی وزارت بهداشت، فرآیند نامنویسی آزمون کارشناسی ارشد رشتههای علوم پزشکی سال ۱۴۰۵ که قرار بود از امروز (۱۰ مرداد) آغاز بشه، به دلیل بروز مشکلات فنی در سامانه، حداکثر یک هفته به تعویق افتاد…
⏳ ترکیب طلایی: قانون ۲۰-۳۰-۵۰ + تکنیک ضربدر و منها = مدیریت زمان بینقص!
رفقای هوشبری، تو پست قبلی با قانون ۲۰-۳۰-۵۰ آشنا شدید. حالا بیایید این قانون رو با یه تکنیک مکمل قویتر کنیم تا دیگه هیچوقت تو آزمونها کم نیارید! 🎯
📌 تکنیک ضربدر و منها چیه؟
این تکنیک بهتون کمک میکنه تا سوالات رو دستهبندی کنید و دقیقاً بدونید با هر کدوم چطور برخورد کنید:
🔹 بدون علامت: سوالاتی که ۱۰۰٪ بلدید و بیدرنگ پاسخ میدید. (همون ۵۰٪…
⏳ قانون ۲۰-۳۰-۵۰؛ رمز طلایی مدیریت زمان در آزمونها!
رفقای هوشبری، چند بار شده توی جلسهی آزمون، زمان کم بیارید و با وجود بلد بودنِ مطالب، نمرهی خوبی نگیرید؟ 😰
بیایید با یه قانون ساده، دیگه اجازه ندیم زمان از دستمون دربره! 🎯
📌 قانون ۲۰-۳۰-۵۰ چیه؟
این قانون بهت کمک میکنه تا زمان رو بین سوالات به بهترین شکل تقسیم کنی و به همهشون برسی:
🔹 ۵۰٪ زمان: به سوالاتی که آسونن و مطمئنی، جواب بده. این سوالات، نمرهی تضمینی…
رفقای هوشبری که برای ارشد آموزش هوشبری میخونید، یه سوال مهم 🤔
واقعاً با چنتا تست میتونید به درصد خوب برسید؟ ۱۰۰۰ تا؟ ۲۰۰۰ تا؟
اگه میخواید تو آزمون ارشد هوشبری از بقیه جلو بزنید و به تسلط کامل برسید، به تستهای بیشتر و هدفمند نیاز دارید. این دو تا کتاب مکمل، دقیقاً همون چیزهایی هستن که نیاز دارید تا دستتون رو برای آزمون اصلی رو کنید 💪
📚 بانک آزمون جامع ۲۵۰۰ تست استخدامی هوشبری (زهرا کریمیان)
📎لینک مشاهده جزئیات…
رفقای هوشبری، تا حالا تو شیفتهای شلوغ ICU یا اتاق عمل، به کتابی نیاز پیدا کردی که بیحاشیه و سریع، جواب سوالات بالینیت رو بده؟ 🤔
اون موقعهایی که وقت نداری کتابهای ۱۰۰۰ صفحهای رو بالا و پایین کنی، چی کار میکنی؟
📚 کتابچه ICU پل مارینو ۲۰۱۷ همون دستیار همراهت تو بخشهای ویژهست!
این کتابچـه، چکیدهای از نکات طلایی کتاب معروف ICU Book هست که تمام مباحث کلیدی مراقبتهای ویژه رو در قالبی سریع، روان و کاربردی در اخت…
🩺 نحوه انجام و کاربرد بالینی BURP
🔹 روش انجام:
- فشار روی غضروف تیروئید (نه کریکوئید)
- در سه جهت: عقب (Backward)، بالا (Upward)، راست (Rightward)
- ابتدا لارنگوسکوپیست بهترین نقطه را با هدایت دست دستیار پیدا میکند، سپس همان موقعیت حفظ میشود.
🔸 کاربرد بالینی:
- وقتی دید کافی از طنابهای صوتی ندارید (Cormack-Lehane گرید 2b یا 3)
- هدف: بهبود glottic view و تسهیل اینتوباسیون
⚠️ با مانور Sellick (فشار کریکوئید برای…
📄 مقالات مهم درباره BURP
رفقای هوشبری، در ادامه پست قبلی، امروز میخوایم پشتوانه علمی مانور BURP رو بررسی کنیم. 📚
🔹 Knill (۱۹۹۳) – تولد یک اصطلاح:
اولین بار Knill بود که واژه BURP را در ادبیات بیهوشی جا انداخت و نشان داد که فشار هدفمند روی تیروئید میتواند دید لارنگوسکوپی را بهبود بخشد.
🔸 Yu و همکاران – تأیید بالینی:
در مطالعهای که روی بیماران انجام شد، BURP باعث بهبود قابل توجه دید حنجره و کاهش موارد لارنگوسکوپی…
📜 تاریخچه مانور BURP
رفقای هوشبری، امروز میخوایم داستان یکی از پرکاربردترین مانورهای راه هوایی رو مرور کنیم: BURP. 🦯
🔹 مانور BURP در سال ۱۹۹۳ توسط Knill وارد ادبیات بیهوشی شد. BURP مخفف Backward, Upward, Rightward Pressure است و به فشار هدفمند روی غضروف تیروئید اشاره دارد، نه غضروف کریکوئید.
🔸 هدف از معرفی این مانور، بهتر کردن نمای گلوت و سادهتر شدن لولهگذاری در بیماران با دید دشوار بود. فشار در سه جهت عقب، بال…
🦯 ۱. مانور BURP برای چه هدفی در لارنگوسکوپی استفاده میشود؟
الف) جلوگیری از آسپیراسیون
ب) بهبود دید گلوت
ج) شل کردن طنابهای صوتی
د) افزایش تهویه با ماسک
✅ پاسخ: گزینه ب است.
📋 پاسخنامه: BURP نوعی external laryngeal manipulation است که با جابجا کردن حنجره، نمای طنابهای صوتی را بهتر میکند.
🦯 ۲. BURP مخفف کدام عبارت است؟
الف) Backward, Upward, Rightward Pressure
ب) Basal, Upper, Rapid, Pressure
ج) Backward, Under, R…
🦯 ۱۵. کدام توصیف برای جهت فشار در BURP صحیحتر است؟
الف) فشار مستقیم به سمت عقب
ب) فشار به سمت عقب، بالا و راست بیمار
ج) فشار به سمت جلو و چپ بیمار
د) فشار چرخشی روی تیروئید
✅ پاسخ: گزینه ب است.
📋 پاسخنامه: BURP مخفف Backward, Upward, Rightward Pressure دقیقاً همین جهتها را نشان میدهد.
🩺 اصول و روشهای بیهوشی | قدم اول برای بیهوشی
🦯 BURP: مانور جادویی برای بهبود دید لارنگوسکوپی
رفقای هوشبری، حتماً براتون پیش اومده که حین لارنگوسکوپی، هر کاری میکنید طنابهای صوتی خوب دیده نمیشن. یه راه نجات سریع و غیرتهاجمی قبل از اینکه سراغ وسایل پیشرفتهتر برید، مانور BURP هست. 🎯
🔹 BURP مخفف چیه؟
Backward (عقب) – Upward (بالا) – Rightward (راست) Pressure
یعنی اعمال فشار به سمت عقب، بالا و راست.
🔸 دقیقاً چیکار…
Signed Hamed Deldadeh
Showing the 12 most recent of 19 posts we hold for @Anestech_ir. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
فشار در مانور BURP باید روی کدام ساختار اعمال شود؟
الف) Cricoid cartilage36%
ب) Thyroid cartilage50%
ج) Hyoid bone7%
د) Mandible7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 19 most recent posts we hold, published 31 July 2026 to 2 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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
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.
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.
استخدامی علوم پزشکی @olumpezeshkii1400 · 31,937 Telegram ranks this channel #51 of 93 here — alongside 92 others — read 5 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“Anestech آموزش هوشبری” (@Anestech_ir), 2,236 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/Anestech_ir.
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.
