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Channel

ایران‌مدکلاب

@iranmedclub_com

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry

11,306subscribers

+319 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001086190923
TypeChannel
Username@iranmedclub_com
Descriptionباشگاه پزشکان ایران درباره‌ی ما اینجا بخوانید👇🏻 https://t.me/iranmedclub_com/2356 ارتباط با ما👇🏻 https://t.me/iranmedclub_com/2362 🌎 iranmedclub.com
Created7 January 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/iranmedclub_com

Topic

Ecommerce storefront — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 96% 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 word for word on 1 other registered channel. 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 (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Meducation_channel/137322 Jul 2026, 17:32 UTC@iranmedclub_com/2990 · this entry22 Jul 2026, 17:35 UTC1.003 minutes
@Meducation_channel/137222 Jul 2026, 07:55 UTC@iranmedclub_com/2989 · this entry22 Jul 2026, 08:33 UTC0.9737 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Meducation_channel6 (6/6 hand-verifiable sample passed)1.002 minutesthis entry (4–2)

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 2 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 19 comparable posts for this entry, running 19 July 2026 to 3 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 2, the earliest publisher we hold is @Meducation_channel. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 6 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 1 other registered channel, 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.

Growth

10,98411,32411,1546 August 2026 — 10,987 subscribers6 August 2026 — 10,987 subscribers6 August 2026 — 10,984 subscribers7 August 2026 — 10,987 subscribers8 August 2026 — 10,991 subscribers9 August 2026 — 10,994 subscribers10 August 2026 — 11,009 subscribers11 August 2026 — 11,014 subscribers12 August 2026 — 11,017 subscribers13 August 2026 — 11,016 subscribers15 August 2026 — 11,009 subscribers16 August 2026 — 11,028 subscribers17 August 2026 — 11,032 subscribers18 August 2026 — 11,026 subscribers19 August 2026 — 11,029 subscribers21 August 2026 — 11,031 subscribers22 August 2026 — 11,033 subscribers24 August 2026 — 11,050 subscribers25 August 2026 — 11,058 subscribers26 August 2026 — 11,059 subscribers27 August 2026 — 11,060 subscribers27 August 2026 — 11,059 subscribers29 August 2026 — 11,060 subscribers30 August 2026 — 11,074 subscribers31 August 2026 — 11,088 subscribers1 September 2026 — 11,095 subscribers2 September 2026 — 11,092 subscribers3 September 2026 — 11,090 subscribers4 September 2026 — 11,092 subscribers7 September 2026 — 11,114 subscribers10 September 2026 — 11,121 subscribers12 September 2026 — 11,132 subscribers14 September 2026 — 11,136 subscribers16 September 2026 — 11,145 subscribers18 September 2026 — 11,150 subscribers1 October 2026 — 11,191 subscribers6 October 2026 — 11,309 subscribers10 October 2026 — 11,289 subscribers13 October 2026 — 11,299 subscribers15 October 2026 — 11,292 subscribers16 October 2026 — 11,288 subscribers17 October 2026 — 11,281 subscribers18 October 2026 — 11,278 subscribers19 October 2026 — 11,276 subscribers20 October 2026 — 11,277 subscribers21 October 2026 — 11,274 subscribers23 October 2026 — 11,265 subscribers24 October 2026 — 11,252 subscribers26 October 2026 — 11,266 subscribers27 October 2026 — 11,268 subscribers28 October 2026 — 11,274 subscribers29 October 2026 — 11,276 subscribers30 October 2026 — 11,274 subscribers1 November 2026 — 11,286 subscribers2 November 2026 — 11,303 subscribers3 November 2026 — 11,324 subscribers3 November 2026 — 11,319 subscribers4 November 2026 — 11,313 subscribers5 November 2026 — 11,310 subscribers6 November 2026 — 11,306 subscribers11,3066 August 20266 November 2026
60 measurements spanning 93 days, net +319. 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 10,933–11,375 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
6 Nov 2026, 22:0711,306-4
5 Nov 2026, 22:1611,310-3
4 Nov 2026, 20:4011,313-6
3 Nov 2026, 23:0711,319-5
3 Nov 2026, 02:1911,324+21
2 Nov 2026, 03:5911,303+17
1 Nov 2026, 04:5711,286+12
30 Oct 2026, 01:1611,274-2
29 Oct 2026, 03:3711,276+2
28 Oct 2026, 00:4611,274+6
27 Oct 2026, 02:4611,268+2
26 Oct 2026, 04:3711,266+14
24 Oct 2026, 09:3811,252-13
23 Oct 2026, 10:0511,265-9
21 Oct 2026, 03:4011,274-3
20 Oct 2026, 01:5111,277+1
19 Oct 2026, 02:5011,276-2
18 Oct 2026, 05:3711,278-3
17 Oct 2026, 03:2611,281-7
16 Oct 2026, 04:1911,288first reading

Engagement

73 posts held, back to 19 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 52 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.6%
avg views ÷ 11,306 subscribers
Avg views / post
1,430
31 posts measured
Reaction rate
0.118%
reactions ÷ views · ER floor
Posts in window
31
of 73 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 18 of 31 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 November 2026
Posts held73 (19 July 2026 – 7 November 2026)
Views total44,267
Reactions total35
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 21:31 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
≈1,240
Videos
≈247
Links
≈2,210

Lifetime counters from Telegram’s own channel header, read 7 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
6m 31s
Average length
39s

Measured directly from 10 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

362 reactions across 48 posts, in 4 distinct kinds. The most used accounts for 53.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤19453.6%
💔13035.9%
👍308.29%
🔥82.21%

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 55 of the 73 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 365 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 73 most recent posts we hold, published 19 July 2026 to 7 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.

Recent posts

Telegram’s own ‘edited’ marker: 9 of 31 posts held from the last 30 days (29.0%) 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).

7 Nov 2026, 12:26 UTC322 views0 reactionsread 7 November 2026

🤔 تو بخش جدیدت، جای کدوم درس خالیه؟ هر بخش، درس‌های مهم خودش رو داره! 📚 با تک‌درس‌های تقلب می‌تونی دقیقاً متناسب با بخشی که الان توش هستی، درس موردنیازت رو انتخاب کنی و همراهت داشته باشی. ✅لیست فیلم‌ها 🔸ریه 🔹غدد 🔸قلب 🔹گوارش 🔸روماتولوژی 🔹 نفرولوژی 🔸خون 🔸اطفال کامل 🔹جراحی کامل 🔸زنان کامل 🔸چشم 🔹اورولوژی 🔸گوش و‌ حلق و بینی 🔹 پاتولوژی 🔸عفونی 🔹اپیدمیولوژی و اخلاق‌پزشکی 🔹پوست 🔸 ارتوپدی 🔹 روان‌پزشکی 🔹 رادیولوژی 🔹 فیزیک‌پ…

7 Nov 2026, 10:50 UTC409 viewsread 7 November 2026

#علوم_پایه 🍏درسنامه رو با سیب سبز بخون؛ تستاشو با سیب بچــ👶🏻ــه بزن! با سیب🍏 سبز 👈🏻 روی قسمتای مهم رفرنس مسلط میشی و آموزش اصلی رو میگیری. با سیبــ👶🏻ــچه 👈🏻 تثبیت مطلب و مرور و جمع بندی رو انجام میدی. ❓چند دوره تست میزنی؟ ۱۴ دوره تست طبقه بندی شده پزشکی و دندانپزشکی از ۱۴۰۱ تا ۱۴۰۴ با سیب پلــ➕ــاس فیزیولوژی ❓سیب پلــ➕ــاس؟ سوالای علوم پایه مهر ۱۴۰۵ با جواب تشریحی واس فیزیولوژی به مرور سیب پلاس بقیه درسا رم ب…

6 Nov 2026, 09:56 UTC776 viewsread 7 November 2026

فقط تا آخر امشب ‼️ 🔹تقلب پره انترنی 🫣 رو تکی بگیر با قیمت گروهی❤️ 💸 فقط کافیه موقع خرید، کد تخفیف taghalob رو وارد کنی و با قیمت ویژه خریدت رو انجام بدی! 😎 خرید تکی، قیمت گروهی! 🔗 همین الان برو سراغ تقلب

6 Nov 2026, 07:46 UTC830 views0 reactionsread 7 November 2026

👩‍🏫 با "تریتا" مفهومی یاد بگیر؛ تو علوم پایه به کار بگیر! ❌حفظ کردن درسای اصلی و مهم دیگه جواب نمیده! تریتا فیلم آموزش تشریحی و کامل واس مطالعه طول ترمت 🧑🏻‍💻اینجوری یه استاد اختصاصی برای هر درس داری که با زبون ساده و روون کل مطلب رو هــ🍑ــلو برو تو گلو برات توضیح میده🤌🏻 "تریتای سه گانه" یه مجموعه تدریس کامل از درسای آناتومی، فیزیولوژی، بیوشیمی، بافت و جنین بهت میده. 🎥نمونه تدریس 🔗لینک تهیه

5 Nov 2026, 14:09 UTC846 viewsread 7 November 2026

سیــ🍏ــب سبز دیجیتالی بهداشت و اپیدمیولوژی رو از اینجا بگیر

5 Nov 2026, 08:28 UTC917 views4 reactionsread 7 November 2026
Photo

#علوم_پایه 🟢سیب سبز دیجیتالی "بهداشت و اپیدمیولوژی" اومد رو سایت! ✅آپدیت طبق آخرین رفرنس 📑تعداد صفحه: ۲۰۵ 📱یه کتاب دیجیتالی اسمارت همیشه در دسترس باهاته✨ 🔗لینک دسترسی

❤4

5 Nov 2026, 07:11 UTC846 views1 reactionsread 7 November 2026

🔴سرورای سایتو آپدیت کردیم که دسترسیت به محصولات سریع و راحت تر بشه✌️🏻 سر بزن بهمون😉

❤1

4 Nov 2026, 14:07 UTC≈1,030 viewsread 7 November 2026
Poll

خب بگو ببینم درچه حالی ؟!

  1. استارت زدم قوی 💪19%
  2. منتظرم بارون بیاد بشینم .......سردرسم 😎28%
  3. هنوز زوده 😏29%
  4. منتظر پلن و برنامه ام 🚶‍➡️24%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

4 Nov 2026, 12:42 UTC≈1,060 views3 reactionsread 7 November 2026

#علوم_پایه 🎥 تریتا، مدیای کامل برای قوی کردن بیست با دو شیوه تدریس! 🔻پارت دوم 👈🏻 فیزیولوژی🧬 🔻فیلم تدریس تشریحی همه مباحث 🗣مدرس: دکتر محمدی 🕰تایم تدریس: ۲۱ ساعت 🗣مدرس: دکتر ایمانی تایم تدریس: ۱۶ ساعت 📚مناسب برای مطالعه طول ترم 👈🏻نمونه فیزیولوژی دکتر محمدی 👈🏻نمونه فیزیولوژی دکتر ایمانی 🔗لینک تهیه

❤3

3 Nov 2026, 12:28 UTC≈1,150 views4 reactionsread 7 November 2026
Photo

#بالینی بیمارستان، شیفت، مریض، درس و امتحان... 😵‍💫 فکر کردی وقت می‌کنم بشینم کتاب بخونم؟ من حتی بین دو تا کار هم دارم تقلب می‌بینم! بالاخره باید یه جوری از پس پره‌انترنی بربیام دیگه 😂 کد تخفیف : Taghalob_Pre 🔗 تقلب پره انترنی

❤4

2 Nov 2026, 09:17 UTC≈1,250 viewsread 7 November 2026

🎥 تریتا، مدیای کامل برای قوی کردن بیست! 🔻پارت اول 👈🏻 آناتومی🩻 🔻فیلم تدریس تشریحی همه مباحث 🗣مدرس: دکتر کاشانی 🕰تایم تدریس: ۱۶ ساعت 📚مناسب برای مطالعه طول ترم نمونه تریتای آناتومی 🔗لینک تهیه

Showing the 12 most recent of 73 posts we hold for @iranmedclub_com. 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

@iranmedclub_com edited 3 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
3 September 2026
Most recent edit
5 November 2026

Posts recorded as deleted after publishing

We recorded 1 post on @iranmedclub_com 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
6 November 2026
Most recent seen missing
6 November 2026
Median time before seen missing
37 hours
Seen missing in the last 30 days
1

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.

4 Nov 2026, 14:07 UTCAnonymous Poll154 voters

خب بگو ببینم درچه حالی ؟!

  1. استارت زدم قوی 💪19%
  2. منتظرم بارون بیاد بشینم .......سردرسم 😎28%
  3. هنوز زوده 😏29%
  4. منتظر پلن و برنامه ام 🚶‍➡️24%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

23 Jul 2026, 08:10 UTCAnonymous Poll93 voters

✔️تا حالا دوره زیبایی شرکت کردی؟

  1. ✌🏻 بله، خواستم تجربه کنم6%
  2. 😎 بله، خواستم مهارتم رو بیشتر کنم8%
  3. 👄 بله، می‌خواستم تو فیلد زیبایی کار کنم10%
  4. 😊 خیر، چون تا حالا پیش نیومده49%
  5. 😢 خیر، چون علاقه ندارم38%

The shares total 111%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 73 most recent posts we hold, published 19 July 2026 to 7 November 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

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 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.

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.

علوم پایه پزشکی و دندان‌پزشکی
@oloompaye · 22,154
Telegram ranks this channel #11 of 93 here — alongside 92 others — read 20 September 2026
علوم پایه | مدوفست
@medofast_oloompaye · 22,887
Telegram ranks this channel #22 of 91 here — alongside 90 others — read 20 September 2026
مدیکالیسم | medicalism
@Doctor_MIB_iran · 40,380
Telegram ranks this channel #31 of 89 here — alongside 88 others — read 26 August 2026
داروشناسی پزشکی
@medical_drugs1 · 51,405
Telegram ranks this channel #42 of 95 here — alongside 94 others — read 24 August 2026
تیم دانشجویان علوم پزشکی
@Team_MedicalSciences · 26,249
Telegram ranks this channel #49 of 87 here — alongside 86 others — read 13 September 2026
علوم پایه ۹۹
@Olumpaye99 · 25,607
Telegram ranks this channel #56 of 95 here — alongside 94 others — read 14 September 2026
📥منبع فایل (PDF) علوم پزشکی📤 (Medfile_Pharma)
@medfile_pharma · 48,069
Telegram ranks this channel #60 of 93 here — alongside 92 others — read 27 August 2026
بالینوما | Balinoma
@Balinoma · 22,838
Telegram ranks this channel #80 of 91 here — alongside 90 others — read 25 September 2026

This channel appears in 8 seed channels' Telegram-generated recommendation lists 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“ایران‌مدکلاب” (@iranmedclub_com), 11,306 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/iranmedclub_com.

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.