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 21 August 2026 and assigned it the closest of 31 fixed categories, at 57% 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
49 measurements spanning 78 days, net +4,940. 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 92,203–98,677 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)
Subscribers
Change
24 Oct 2026, 10:56
97,930
+96
23 Oct 2026, 08:16
97,834
+60
22 Oct 2026, 09:30
97,774
+70
20 Oct 2026, 23:38
97,704
+212
20 Oct 2026, 01:18
97,492
-5
18 Oct 2026, 22:34
97,497
+78
17 Oct 2026, 22:26
97,419
+96
16 Oct 2026, 20:40
97,323
+73
15 Oct 2026, 22:46
97,250
+59
14 Oct 2026, 19:26
97,191
+162
13 Oct 2026, 08:20
97,029
+263
9 Oct 2026, 01:19
96,766
+372
4 Oct 2026, 13:15
96,394
+779
26 Sept 2026, 06:19
95,615
+425
19 Sept 2026, 12:56
95,190
+114
17 Sept 2026, 02:22
95,076
+127
15 Sept 2026, 04:21
94,949
+131
13 Sept 2026, 13:58
94,818
+117
11 Sept 2026, 16:39
94,701
+143
9 Sept 2026, 02:40
94,558
first reading
Engagement
1,149 posts held, back to 3 August 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 162 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.61%
avg views ÷ 97,930 subscribers
Avg views / post
2,550
465 posts measured
Reaction rate
0.112%
reactions ÷ views · ER floor
Posts in window
491
of 1,149 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 460 of 465 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 24 October 2026
Posts held
1,149 (3 August 2026 – 24 October 2026)
Views total
1,187,184
Reactions total
1,315
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 05:55 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
1m 50s
Average length
1m 50s
Measured directly from 1 video 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
3,121 reactions across 948 posts, in 4 distinct kinds. The most used accounts for 39.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,234
39.5%
❤
1,121
35.9%
👎
702
22.5%
💔
64
2.05%
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 952 of the 1,000 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 3,121 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 16 August 2026 to 24 October 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.
Telegram Stars
Stars received
3
across the posts below
Posts paid on
3
of 964 we hold a reading for · 0.3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @medilancer. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 16 August 2026 to 24 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
⭕️ در صورتی که قبل از رونمایی از وب اپلیکیشن، دسترسی به فضای مجازی محدود شد، لینک وب اپلیکیشن داخل کانال ما در اپلیکیشن بله قرار داده خواهد شد و فعالیت مدیلنسر با قوت قبلی در وب اپلیکیشن و کانال بله ادامه خواهد یافت.
🌟 لینک کانال:
https://ble.ir/medilancer
👑دسترسی آسان و امن به مدیلنسر از هر مسیری 🚀
✈️📷🌐👽🍏🌟 @medilancer
‼️ وبینار سال دوم دستیاری ‼️
🗣با حضور دکتر امیرمحمدنظری
رتبه ۲۰۰۰ دستیاری پارسال
و رتبه ۱۵ دستیاری امسال
⏳ شنبه ۲ آبان
ساعت ۱۸ الی ۲۰
ثبت نام رایگان از لینک زیر 👇
👉 https://openmed.ir/product/D2
این وبینار برای کسانی است که تصمیم گرفتند یکسال دیگر برای آزمون دستیاری تلاش کنند
@Dastyarebartar
#کاربلد #word #endnote #PowerPoint #انگلیسی #پیاده_سازی_ویس #جزوه #تایپ #پیاده_سازی_فیلم
📃 توضیحات:
دانشجوی ترم آخر پزشکی، مترجم و معلم زبان انگلیسی
📘آماده سازی پاورپوینت:
ارائه، پاور مورنینگ، ژورنال، کیس پرزنتیشن، دفاع
EBM و CBM
پرونده خوانی دقیق
📘ترجمه انگلیسی به فارسی و برعکس
ترجمه، خلاصه و چکیده از مقاله
(عمومی و تخصصی)
بدون AI
📘تبدیل ویس به جزوه
خلاصه جزوه
مایندمپ و کانسپت مپ
مسلط به ورد و اکسل
سابقه …
#خریدار #تلگرام
📃 توضیحات:
سلام و درود
کانال های تلگرامی قدیمی شما رو که حداقل ۵ سال عمر دارند و منظم پست گذاری شده اند رو ما ازتون میخریم و تعداد ممبر و ویو هم اصلا مهم نیست.
اگر همچین کانالی دارید و قصد تبدیلش به پول دارید به ما پیام بدین🌸
کد آگهی: 18J-Z7G-10D
ارتباط با آگهی دهنده
🤖 بات: @medilancer_bot
.......................................
@medilancer💰
#کاربلد #پزشکی #پیاده_سازی_ویس #pdf #جزوه #powerpoint #مقاله
📃 توضیحات:
سلام وقت بخیر دانشجوی پزشکی هستم و خدمات زیر انجام می شود همراه با ۳ سال سابقه ونمونه کار .
🔶 تایپ وویس و ویدئو به صورت جزوه بدون دخالت AI
🔸 تهیه پاورپوینت
🔶 جمع آوری مطلب برای ارائه از روی رفرنس های معتبر
🔸 خلاصه نویسی
🔶 تبدیل محتوای مقاله و ویس به پاورپوینت
🔸تهیه پاور از مقاله برای ارائه ژورنال کلاب
🔶 پیاده سازی اودیواسلاید
🔸پاورپوینت …
#کاربلد #تایپ #جزوه #excel #powerpoint #word
📃 توضیحات:
🔥☘ انجام خدمات زیر با کیفیت حرفه ای و قیمت دانشجویی توسط دانشجوی پزشکی:
❄️ پاورپوینت حرفهای
❄️ پیاده سازی ویس و ویدیو به جزوه با بهترین کیفیت
❄️ جزوه و خلاصهنویسی
❄️ تایپ متن دست نویس و ترجمه
❄️ ورد و اکسل
❄️ پمفلت و مایندمپ درسی
📩 پاسخگویی سریع و تحویل کار با کیفیت
💻 جهت ثبت سفارش و اطلاع از هزینه با ما در ارتباط باشید☘
کد آگهی: 18J-X57-H0N
ارتباط با …
#کاربلد #زیبایی
📃 توضیحات:
سلام
دانشجوی پزشکی هستم؛ مسلط به انجام کار های زیبایی دارای سابقه کار و مدرک دانشگاهی معتبر.
دنبال کار پارهوقت در کلینیک زیبایی هستم
کد آگهی: 18J-SW7-S0G
ارتباط با آگهی دهنده
🤖 بات: @medilancer_bot
.......................................
@medilancer💰
#فروشنده #کتاب #پزشکی #علوم_پایه #دانش_آموختگان #سیب_سبز
📃 توضیحات:
فروش پک کامل سیب سبز ۱۴۰۴
تقریبا همه کتاب ها(به جز چند مورد استثنا) دست نخورده و بدون خط کشی هست و همون کتاب هایی که خط کشی شده هم فقط چند صفحه یا چند فصل خط کشی داره
قیمت: ۴ میلیون تومان
کد آگهی: 18J-VEX-10E
ارتباط با آگهی دهنده
🤖 بات: @medilancer_bot
.......................................
@medilancer💰
#کاربلد #پروپوزال #پایان_نامه #آمار_آنالیز #مشاوره_پژوهش #endnote #spss #PowerPoint #word
📃 توضیحات:
سلام!
من دانشجوی کارشناسی ارشد اپیدمیولوژی هستم و در زمینه پژوهش، آمار و تحلیل دادهها تخصص دارم.
♦️خدمات قابل ارائه:
🔹 تحلیل آماری پروژههای تحقیقاتی و پایاننامهها
🔹 آنالیز دادهها و تفسیر دقیق نتایج آماری
🔹 مشاوره در نگارش و تدوین پروپوزال و پایان نامه
🔹 طراحی پاورپوینت حرفهای برای جلسه دفاع
هزینه خدمات…
#خریدار #کتاب #کامران_احمدی #QB
📃 توضیحات:
کتاب اطفال 1و2و3 کیوبی رو میخام
ترجیحا سالم و کمتر خط خورده باشه
کد آگهی: 18J-RPT-10R
ارتباط با آگهی دهنده
🤖 بات: @medilancer_bot
.......................................
@medilancer💰
👍1
Showing the 12 most recent of 1,149 posts we hold for @medilancer. 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.
Posts edited after publishing
@medilancer edited 42 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
22 October 2026
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 5 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 18 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Medical Jozveh @medical_jozveh_channel · 126,523 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 18 August 2026
دانلود کتاب و جزوه | کتابخانه علوم پزشکی @med_science · 31,185 Telegram ranks this channel #4 of 96 here — alongside 95 others — read 6 September 2026
Medical University 🏛⚕ @medicaluniversity · 83,318 Telegram ranks this channel #6 of 89 here — alongside 88 others — read 18 August 2026
خلاصه های بالینی | مدوفست @medofast_balini · 35,885 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 4 September 2026
Med Line | مِد لاین @Medical_line · 38,305 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 1 September 2026
@lMedixl * فایل های پزشکی @lmedixl · 40,145 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 31 August 2026
مدیکالیسم | medicalism @Doctor_MIB_iran · 40,312 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 26 August 2026
بالینوما | Balinoma @Balinoma · 22,679 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 25 September 2026
علوم پایه ۹۹ @Olumpaye99 · 25,724 Telegram ranks this channel #11 of 95 here — alongside 94 others — read 14 September 2026
دانشجویان علوم پزشکی @medicall_students · 79,905 Telegram ranks this channel #11 of 79 here — alongside 78 others — read 19 August 2026
Medical_PDF💉 @pdfvahidzali · 87,447 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 18 August 2026
علوم پایه پزشکی و دندانپزشکی @oloompaye · 22,250 Telegram ranks this channel #13 of 93 here — alongside 92 others — read 20 September 2026
علوم پایه | مدوفست @medofast_oloompaye · 22,213 Telegram ranks this channel #16 of 91 here — alongside 90 others — read 20 September 2026
رزیدنت نیوز ן دستیاری پزشکی @Medical_resident · 21,402 Telegram ranks this channel #17 of 91 here — alongside 90 others — read 25 September 2026
آناتومی پزشکی @Med_anatomy · 35,629 Telegram ranks this channel #18 of 85 here — alongside 84 others — read 2 September 2026
توییتر دانشجویان علوم پزشکی @medtweeet · 85,022 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 18 August 2026
نکات دستیاری | MedicalPoint @medicalpoint100 · 19,105 Telegram ranks this channel #22 of 89 here — alongside 88 others — read 2 October 2026
كانال كاريابي پزشكان @karyabip · 23,090 Telegram ranks this channel #35 of 80 here — alongside 79 others — read 19 September 2026
بانک PDF پزشکی📚 @PDFbankdaro · 32,244 Telegram ranks this channel #39 of 94 here — alongside 93 others — read 5 September 2026
📥منبع فایل (PDF) علوم پزشکی📤 (Medfile_Pharma) @medfile_pharma · 47,927 Telegram ranks this channel #40 of 93 here — alongside 92 others — read 27 August 2026
رزیدنتولوژی @Residentology · 21,410 Telegram ranks this channel #43 of 87 here — alongside 86 others — read 26 September 2026
مدرسه پزشکی | امیرمحمد قربانی @schoolofmedicine_ir · 26,711 Telegram ranks this channel #45 of 93 here — alongside 92 others — read 12 September 2026
فایل های علوم پزشکی 📚PDF @MedicalFile · 31,461 Telegram ranks this channel #45 of 93 here — alongside 92 others — read 6 September 2026
نسخه نویسی فارمامدیکال @pharmamedicall2 · 32,249 Telegram ranks this channel #46 of 87 here — alongside 86 others — read 5 September 2026
This channel appears in 45 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“کار دانشجویی علوم پزشکی | مدیلنسر” (@medilancer), 97,930 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/medilancer.
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.