Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 16 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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 17 days, net -53. 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 5,095–5,164 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 06:01
5,103
-11
12 Sept 2026, 11:59
5,114
-14
8 Sept 2026, 12:55
5,128
-20
3 Sept 2026, 02:27
5,148
-8
30 Aug 2026, 19:56
5,156
no change
30 Aug 2026, 15:45
5,156
first reading
Engagement
20 posts held, back to 9 October 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.3%
avg views ÷ 5,103 subscribers
Avg views / post
1,040
4 posts measured
Reaction rate
4.39%
reactions ÷ views · ER floor
Posts in window
4
of 20 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 August 2026
Posts held
20 (9 October 2025 – 30 August 2026)
Views total
4,148
Reactions total
182
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Aug 2026, 15:45 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
574 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 59.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
339
59.1%
👍
177
30.8%
🔥
58
10.1%
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 20 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 574 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 9 October 2025 to 30 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.
✅️نکته بعدی که میخوام بگم این که
اگر پزشک اقا هستید وقت معاینه خانم ها در صورت امکان شخص دیگه هم ترجیحا خانم یا از اقوام بیمار داخل اتاق باشه
مخصوصا در مناطقی که سطح فرهنگ پایین تر هست حتی معاینه ساده شکم هم می تونه براتون دردسر ساز بشه
ممکن بیمار بد برداشت کنه یا اصلا بخواد بد برداشت کنه
شاید هم در نهایت موفق بشین اثبات کنید یه معاینه ساده بوده اما همین که شایعه ای پشت اسمتون بیاد ممکنه زندگی حرفه ای تون رو دچار …
✅به تجربه به دست میاد براتون نسبت های خانوادگی دلیلی بر صداقت نیست
در موارد خاص مثل بیماری های صعب العلاج،سالمندان و از این دست موارد ممکن هست این وسط خانواده گاهی از عمد کوتاهی خاصی کرده باشن
بیمار رو دیر میارن،ممکنه هست داروی بیمار رو ندن،دارو زیاد بدن و...
برای همین صرفا به شرح حالی که خانواده میده بسنده نکنید چون در درمان گمراهتون میکنه
@learnino_edu
✅دوستان نکته ای که در بیماران مسمومیت وجود داره اگر بیمار هوشیار نیست و نمی تونی شرح حال بگیری و همراه بیمار میگه به قصد خودکشی دارو زیاد مصرف کرده اینجوری شده سریع تو پرونده ننویسید به قصد خودکشی
چرا ؟
علتش اینه ممکنه بیمار رو اصلا خودشون مسموم کرده باشن
حتی تو دعوی خانوادگی ممکنه از این واژه خودکشی که شما می نویسید پرونده روان برای بیمار باز بشه
و در مواردی مثل طلاق،حضانت و ...
به ضرر بیمار استفاده بشه
برای تایید خ…
⭕️مروری بر دارو های دل پیچه
✅️انواع داروای انتی اسپاسم گوارشی
✅️اندیکاسیون ها
✅️مروری بر استفاده در بارداری،شیردهی و کودکان
🎤 دکتر احسان فریدونی
@learnino_edu
امشب یه بیمار داشتم یه خانم ۹۰ ساله یه قرص لورازپام ۱ خورده بود و حدود ۲۶ ساعت بود که خوابیده بود و با هیچ تحریکی هم بیدار نمی شد
کم کم بعد از ۱۲ ساعت که تحت نظر بود هوشیاریش بهتر شد
نکته مهم اینه در افراد مسن تا جای ممکن بنزودیازپین رو به عنوان پزشک عمومی شروع نکنید متابولیسم کند این افراد و مشکلات کبدی و کلیوی باعث تجمع دارو میشه
مصرف این داروها حتی ممکن بیمار رو به طور کامل به کما ببره و باعث مرگ بشه.
@learnino_…
⚠️طبق تجربه شخصی خدمتتون عرض می کنم تا اونجا که می تونید بیمار بدحال رو داخل منزل ویزیت نکنید
در اینجور موارد معمولا همراه ها نمیخوان بیمار بره بیمارستان وگرنه ویزیت در منزل رو انتخاب نمی کردن
و اگر اتفاقی بیفته براتون دردسر ساز هست
⭕️چرا تشخیصامون برای اشنا و دوست و فامیل اشتباه از کار در میاد؟
بنظرم چندتا علت داره
✅️ بایاس عاطفی :وقتی یه بیمار برای ما مهمه ناخودگاه نمیخوای قبول کنی مشکل جدیه و میگی چیزی نیست،نگرانش نباش و این باعث تشخیص اشتباه میشه
✅️شرح حال ضعیف: نمی تونیم سوالات حساس و خصوصی رو بپرسیم ، خیلی دقیق معاینه نمی کنیم
✅️مکان ویزیت:اغلب این افراد رو یا داخل خونه یا پشت تلفن ویزیت می کنیم و این باعث میشه امکانات لازم رو نداشته …
چکار باید کرد ؟
اول اینکه سعی کنید جای خودتون رو سریع تر پیدا کنید
تعلل در سربازی رفتن ،شروع دیرتر طرح و عقب افتادن های تحصیلی شما رو به شدت دچار چالش خواهد کرد.
دوم اینکه از ابتدا سعی کنید با دوستان و همکلاسی های خودتون به سمت ایجاد فرصت خصوصی باشید
و سوم اینکه از چهار چوب خارج بشید و چشم به مهارت های خارج از پزشکی داشته باشین
نکته ای که بنظرم قبل از ورود به بازار کار باید بدونید اینه که عرضه و تقاضا به شدت در حوزه پزشکی بهم خورده
میزان عرضه با سرعت زیادی در حال سبقت گرفتن از تقاضا ست
کم کم تا ماه های اینده بنظر پوزیشن های شغلی خوبی که اصلا و متوسط هم به سختی پیدا خواهد شد.
راستش در این مدت در کنار تجارب کاری و پزشکی جدید یه سری اتفاقاتی که از قبل هم پیش بینی می شد در حال رخداد دادن هست
که دوست دارم به مرور مخصوصا برای پزشک های جوان که به زودی قراره وارد بازار کار بشن بگم
❤11🔥4👍1
Showing the 12 most recent of 20 posts we hold for @learnino_edu. 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 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 99%. 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 20 most recent posts we hold, published 9 October 2025 to 30 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.
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.
زبان و پزشکی(قربانی) @medterms · 39,623 Telegram ranks this channel #13 of 82 here — alongside 81 others — read 30 August 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“لرنینو” (@learnino_edu), 5,103 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/learnino_edu.
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.