Medical+Freelancer=Medilancer
باشگاه مهارت آموزی و کسب درآمد همه بچه های علوم پزشکی
فرستادن آگهی در ربات:
@medilancer_bot
قوانین و آموزش درج آگهی در کانال:
@medilancers
کارآموز:
@kar_amouz
سایت ما:
medilancer.ir
اینستا ما:
instagram.com/medilancer/
Created
Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 the other topics.
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 in near-verbatim form on 2 other registered channels. 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 (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 5 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 1,241 comparable posts for this entry, running 3 August 2026 to 10 November 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).
Recorded under the key clone_mutual, last confirmed 11 November 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.
Growth
65 measurements spanning 95 days, net +5,882. 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 92,062–99,760 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
10 Nov 2026, 01:21
98,872
+79
8 Nov 2026, 16:17
98,793
+28
7 Nov 2026, 10:46
98,765
-29
6 Nov 2026, 11:57
98,794
-72
5 Nov 2026, 10:34
98,866
+56
4 Nov 2026, 13:39
98,810
+90
3 Nov 2026, 11:57
98,720
+52
2 Nov 2026, 12:21
98,668
+103
1 Nov 2026, 15:14
98,565
+88
31 Oct 2026, 14:18
98,477
+48
30 Oct 2026, 12:37
98,429
-24
29 Oct 2026, 09:51
98,453
+11
28 Oct 2026, 10:49
98,442
+105
27 Oct 2026, 09:29
98,337
+116
26 Oct 2026, 08:37
98,221
+115
25 Oct 2026, 11:16
98,106
+176
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
first reading
Engagement
1,280 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 202 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.76%
avg views ÷ 98,872 subscribers
Avg views / post
2,720
329 posts measured
Reaction rate
0.11%
reactions ÷ views · ER floor
Posts in window
362
of 1,280 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 326 of 329 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 10 November 2026
Posts held
1,280 (3 August 2026 – 10 November 2026)
Views total
896,188
Reactions total
977
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 01:58 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
Photos
≈826
Videos
≈71
Links
≈6,780
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 36s
Average length
26s
Measured directly from 6 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
3,118 reactions across 941 posts, in 10 distinct kinds. The most used accounts for 39.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,215
39.0%
❤
1,125
36.1%
👎
652
20.9%
💔
58
1.86%
🎉
18
0.577%
🔥
13
0.417%
👏
11
0.353%
🤩
10
0.321%
❤🔥
8
0.257%
🥰
8
0.257%
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 943 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 3,118 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 26 August 2026 to 10 November 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 951 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 26 August 2026 to 10 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 62 of 362 posts held from the last 30 days (17.1%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#فروشنده #کتاب #آرتین_طب #پروگنوز #درسنامه #علوم_پایه
📃 توضیحات:
فروش منابع کمک درسی مخصوص آزمون علوم پایه پزشکی
●پک کامل گنجینه سوالات پروگنوز پزشکی 1405"نو ،بدون خط خوردگی ،سفید"
قیمت :توافقی
ارسال با پست به سراسر کشور انجام میشود، هزینه با خریدار محترم
کد آگهی: 18Y-ZE4-H0W
ارتباط با آگهی دهنده
🤖 بات: @medilancer_bot
.......................................
@medilancer💰
#کارفرما #تولید_محتوا #اینستاگرام #ادیت_ویدیو #پزشکی
📃 توضیحات:
دعوت به همکاری در انجمن علمی دانشگاه علوم پزشکی شیراز
+ تسلط به نرم افزارهای تدوین و ادیت ویدیو
+ توانایی ادیت ریلز ویژه اینستاگرام
+ توانایی تولید محتوای ویدیویی با هوش مصنوعی
قصد ما از این همکاری تولید محتوای ویدیویی با هوش مصنوعی، و ادیت ویدیو های کوتاه ویژه پیج اینستاگرام انجمن میباشد.
کد آگهی: 18Y-Z59-H0D
ارتباط با آگهی دهنده
🤖 بات: @medi…
#فروشنده #کتاب #کامران_احمدی #QB
📃 توضیحات:
پک تقریبا کامل کتاب های QB
همشون ۴۰۴ خریداری شدن، اما چون بعضیا اون زمان آپدیت ۴۰۴ نداشتن، برای همین کتاب ها چاپ ۴۰۴ و بعضیا ۴۰۳ هستن.
هایلایت خیلی خیلی کمی دارن در حد کلمه یا عبارتی، فیلماشون رو میفرستم. تقریبا نو هستن.
قیمت توافقی
هزینه پست با خریدار محترم
کد آگهی: 18Y-X3E-109
ارتباط با آگهی دهنده
🤖 بات: @medilancer_bot
.......................................
@med…
#فروشنده #کتاب #پیرحاجی #infinity #کامران_احمدی #qb
📃 توضیحات:
کتاب های خلاصه و اینفینیتی پیرحاجی ۱۴۰۱ کامل نو و کیوبی زنان ۱و۲ و جراحی ۱ ۱۴۰۴ هفت میلیون همگی نو دست نخورده
کد آگهی: 18Y-TZ7-10Z
ارتباط با آگهی دهنده
🤖 بات: @medilancer_bot
.......................................
@medilancer💰
#کارفرما #کنکور #مشاوره
📃 توضیحات:
یه فرصت همکاری با حقوق مناسب توی مجموعه مون داریم! 💗✨
اگه از رتبههای زیر ۳۰۰۰ کنکور ۱۴۰۲ به بعد هستی و دانشجوی پزشکی، دندانپزشکی یا داروسازی هستی، یا از رتبههای برتر و خفن کنکور انسانی هستی، این فرصت میتونه برای تو باشه. 🩺🦷💊📚
انسان هدفمند و کاری نیاز داریم❤️
کد آگهی: 18Y-TDW-103
ارتباط با آگهی دهنده
🤖 بات: @medilancer_bot
.......................................
@medilanc
#کاربلد #مشاوره_پژوهش #پروپوزال #آمار_آنالیز #پایان_نامه #مقاله
📃 توضیحات:
📚 خدمات تخصصی پژوهشی
🧾 مشاوره پروپوزال و پایاننامه تا مراحل دفاع
📊 تحلیل آماری SPSS و R و تفسیر نتایج
📝 مشاوره تخصصی مقالات علمی و پژوهشی
⭐️ بیش از ۵۰۰ پروژه موفق و امکان ارائه نمونهکار
🤝 پشتیبانی نامحدود و بیقیدوشرط
💳 پرداخت قسطی و پرداخت مسیر سبز
📌 بررسی و اعلام شفاف دامنه خدمات و هزینه پیش از شروع
📩 جهت مشاوره و برآورد هزینه پیام …
#کاربلد #مشاوره_پژوهش #پایان_نامه #مقاله #powerpoint
📃 توضیحات:
👩🏼⚕️ پزشک محقق| +۱۰ سال پژوهش بینالمللی| H-index بالا| چاپ و داوری در ژورنالهای معتبر
👩🏻💻خدمات:
✨ منتورینگ انواع مقالات
💥تقویت رزومه
✨ مشاوره پایاننامه از پروپوزال تا دفاع
💥استخراج داده و تحلیل آماری
✨ پاسخ داوران، سابمیت مقاله
💥پاورپوینت
🔥تحویل درفت اولیه فقط در ۲۴ساعت🔥
⛔️بدون AI
(رزومه و نمونه کار ارسال خواهد شد)
🌟پشتیبانی تا اخرین لحظه
🌸ض…
#فروشنده #کتاب #دانش_آموختگان #سیب_سبز #دندان_پزشکی #علوم_پایه
📃 توضیحات:
انتشارات سیب سبز ۱۴۰۴
نصف کتاب ها دست نخورده
یکی دو تا متوسط رو به زیاد خط کشیده شده بقیه متوسط تا کم
قیمت مورد نظر4.500
کد آگهی: 188-97B-H09
ارتباط با آگهی دهنده
🤖 بات: @medilancer_bot
.......................................
@medilancer💰
#فروشنده #کتاب #پزشکی #علوم_پایه #سیب_سبز #دانش_آموختگان
📃 توضیحات:
کتاب های سیب سبز دست دوم چاپ ۱۴۰۳
بعضی از کتاب ها خط خوردگی داره کتاب های معارف جدید و ایمنی شناسی هم داره
کد آگهی: 18N-N3W-102
ارتباط با آگهی دهنده
🤖 بات: @medilancer_bot
.......................................
@medilancer💰
#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: 18Y-PPE-H0W
ارتباط با …
❤3👍1
Showing the 12 most recent of 1,280 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 46 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
9 November 2026
Posts recorded as deleted after publishing
We recorded 7 posts on @medilancer as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
19 September 2026
Most recent seen missing
29 October 2026
Median time before seen missing
15 hours
Seen missing in the last 30 days
6
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 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.
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 · 127,247 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 18 August 2026
دانلود کتاب و جزوه | کتابخانه علوم پزشکی @med_science · 31,433 Telegram ranks this channel #4 of 96 here — alongside 95 others — read 6 September 2026
Medical University 🏛⚕ @medicaluniversity · 83,321 Telegram ranks this channel #6 of 89 here — alongside 88 others — read 18 August 2026
خلاصه های بالینی | مدوفست @medofast_balini · 37,278 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 4 September 2026
Med Line | مِد لاین @Medical_line · 38,344 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 1 September 2026
@lMedixl * فایل های پزشکی @lmedixl · 40,343 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 31 August 2026
مدیکالیسم | medicalism @Doctor_MIB_iran · 40,372 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 26 August 2026
بالینوما | Balinoma @Balinoma · 22,877 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 25 September 2026
علوم پایه ۹۹ @Olumpaye99 · 25,583 Telegram ranks this channel #11 of 95 here — alongside 94 others — read 14 September 2026
دانشجویان علوم پزشکی @medicall_students · 79,695 Telegram ranks this channel #11 of 79 here — alongside 78 others — read 19 August 2026
Medical_PDF💉 @pdfvahidzali · 87,290 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 18 August 2026
علوم پایه پزشکی و دندانپزشکی @oloompaye · 22,171 Telegram ranks this channel #13 of 93 here — alongside 92 others — read 20 September 2026
علوم پایه | مدوفست @medofast_oloompaye · 23,080 Telegram ranks this channel #16 of 91 here — alongside 90 others — read 20 September 2026
رزیدنت نیوز ן دستیاری پزشکی @Medical_resident · 21,586 Telegram ranks this channel #17 of 91 here — alongside 90 others — read 25 September 2026
آناتومی پزشکی @Med_anatomy · 35,872 Telegram ranks this channel #18 of 85 here — alongside 84 others — read 2 September 2026
توییتر دانشجویان علوم پزشکی @medtweeet · 85,313 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 18 August 2026
نکات دستیاری | MedicalPoint @medicalpoint100 · 19,056 Telegram ranks this channel #22 of 89 here — alongside 88 others — read 2 October 2026
كانال كاريابي پزشكان @karyabip · 23,106 Telegram ranks this channel #35 of 80 here — alongside 79 others — read 19 September 2026
بانک PDF پزشکی📚 @PDFbankdaro · 32,291 Telegram ranks this channel #39 of 94 here — alongside 93 others — read 5 September 2026
📥منبع فایل (PDF) علوم پزشکی📤 (Medfile_Pharma) @medfile_pharma · 48,095 Telegram ranks this channel #40 of 93 here — alongside 92 others — read 27 August 2026
رزیدنتولوژی @Residentology · 21,578 Telegram ranks this channel #43 of 87 here — alongside 86 others — read 26 September 2026
مدرسه پزشکی | امیرمحمد قربانی @schoolofmedicine_ir · 27,168 Telegram ranks this channel #45 of 93 here — alongside 92 others — read 12 September 2026
فایل های علوم پزشکی 📚PDF @MedicalFile · 31,495 Telegram ranks this channel #45 of 93 here — alongside 92 others — read 6 September 2026
نسخه نویسی فارمامدیکال @pharmamedicall2 · 32,218 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“کار دانشجویی علوم پزشکی | مدیلنسر” (@medilancer), 98,872 subscribers as measured 10 November 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.