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Channel

Medicine Way | MW

@Medicine_Way2

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

134,402subscribers

+8,853 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001757121131
TypeChannel
Username@Medicine_Way2
Descriptionممنوع نشر أو ترويج أي محتوى مسروق. روابط مهمة: • القناة: https://t.me/Medicine_Way2 • الجروب: https://t.me/MedicineWay_Group • بوت الداتا: https://t.me/Medicine_way_bot For Contact /Ads 📩 https://t.me/medicineway_admin
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live9 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/Medicine_Way2

Topic

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 9 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 4 other registered channels. This entry also sits inside a group of 5 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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 (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Medicine_Way2/11613 · this entry14 Sept 2026, 02:38 UTC@Medical_Patna/674214 Sept 2026, 02:40 UTC1.0072 seconds
@Medicine_Way2/11627 · this entry21 Sept 2026, 00:58 UTC@Medical_Record/82456 Oct 2026, 18:41 UTC1.0016 days
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
ChannelMatching postsText overlapTypical gapPublished first
@PostGrad_Med39 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (21–18)
@Medical_Patna13 (8/8 hand-verifiable sample passed)1.002.6 hoursthis entry (11–2)
@Pediatric_Data10 (8/8 hand-verifiable sample passed)1.0024 hoursthis entry (9–1)
@Medical_Record6 (6/6 hand-verifiable sample passed)0.9911 hoursthis entry (6–0)

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. 2 of the 2 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 116 comparable posts for this entry, running 28 July 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).

Of the group of 5 channels, the one whose matching posts we hold earliest is @PostGrad_Med. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, 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.

Channels linked by matching posts

This channel is in a group of 5 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

125,549134,402129,975.57 August 20269 November 2026
63 measurements spanning 95 days, net +8,853. 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 124,221–135,730 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
9 Nov 2026, 19:51134,402+51
8 Nov 2026, 10:18134,351+72
7 Nov 2026, 08:25134,279+50
6 Nov 2026, 09:29134,229+68
5 Nov 2026, 08:50134,161+72
4 Nov 2026, 05:57134,089+70
3 Nov 2026, 03:09134,019+85
2 Nov 2026, 01:49133,934+89
1 Nov 2026, 01:29133,845+127
31 Oct 2026, 00:14133,718+76
30 Oct 2026, 03:37133,642+71
29 Oct 2026, 01:51133,571+80
28 Oct 2026, 01:26133,491+69
27 Oct 2026, 03:38133,422+114
26 Oct 2026, 01:47133,308+120
25 Oct 2026, 00:27133,188+88
24 Oct 2026, 02:00133,100+126
23 Oct 2026, 00:30132,974+112
22 Oct 2026, 02:31132,862+121
20 Oct 2026, 17:28132,741first reading

Engagement

150 posts held, back to 28 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 209 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.49%
avg views ÷ 134,402 subscribers
Avg views / post
8,720
26 posts measured
Reaction rate
0.297%
reactions ÷ views · ER floor
Posts in window
26
of 150 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
WindowRolling 30 days · latest post in window 10 November 2026
Posts held150 (28 July 2026 – 10 November 2026)
Views total226,653
Reactions total673
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 05:08 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
≈222
Videos
≈15
Links
≈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.

Reaction mix

3,269 reactions across 149 posts, in 12 distinct kinds. The most used accounts for 62.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,03962.4%
👍37011.3%
🔥1665.08%
💯1454.44%
❤‍🔥1354.13%
🥰1273.88%
🎉1153.52%
🤩1083.30%
😢320.979%
🕊190.581%
👏120.367%
👌10.031%

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 149 of the 150 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 3,269 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 150 most recent posts we hold, published 28 July 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 26 posts held from the last 30 days (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).

10 Nov 2026, 13:41 UTC443 views9 reactionsread 11 November 2026
Forwarded from @PostGrad_MedPhoto

حلقة جديدة من بودكاست Medicine Way 🎙 مع د. محمود شعيب، استشاري جراحة المخ والأعصاب ومدرس بطب طنطا، عن رحلته من أول يوم في كلية الطب لحد ما بقى استشاري، ونصايحه لطلبة الطب ودكاترة الامتياز في اختيار التخصص. الحلقة كاملة 👇 https://youtu.be/P42m9ED7fD4?si=ngFkDgIBWyHNffsE

❤6🔥2👍1

10 Nov 2026, 12:26 UTC≈3,020 views4 reactionsread 11 November 2026

العرض اخره يوم 20/11 ان شاءالله السعر والله انا شخصيا معرفوش😂 هيتحدد بناء علي العدد لسه علشان الي بيسال بس أقل من الأسعار الي ف رساله التفاصيل عموما

❤3👍1

9 Nov 2026, 16:12 UTC≈3,490 views18 reactionsread 11 November 2026
Forwarded from @PostGrad_MedPhoto

حلقة جديدة من بودكاست Medicine Way 🎙 مع د. محمود شعيب، استشاري جراحة المخ والأعصاب ومدرس بطب طنطا، عن رحلته من أول يوم في كلية الطب لحد ما بقى استشاري، ونصايحه لطلبة الطب ودكاترة الامتياز في اختيار التخصص. الحلقة كاملة 👇 https://youtu.be/P42m9ED7fD4?si=ngFkDgIBWyHNffsE

❤16👍1🕊1

9 Nov 2026, 13:36 UTC≈4,140 views5 reactionsread 11 November 2026
Forwarded from @Medical_Patna

📢 عرض جديد لكورس د.شريف الهواري ! حابين نوضح إن هيكون متاح تكوين مجموعات لكل برانش، والاشتراك من خلال المجموعات هيكون بخصم أكبر من الاشتراك الفردي. قيمة الخصم والسعر النهائي هيتحددوا علي حسب عدد الطلاب في كل مجموعة وكل ما زاد العدد زادت قيمة الخصم..... الي هيقدر يساعد ف تكوين مجموعة ويبعتلنا هيكون ليه جائزه هتتحدد بناء علي العدد الي كونه👀 ولو مش عارف تكوّن مجموعة تقدر تتواصل معانا وهنساعدك في تكوين مجموعة مناسبة …

❤3👍1🕊1

8 Nov 2026, 00:54 UTC≈5,020 views10 reactionsread 11 November 2026

فهرس قنوات Medicine Way الخاصة بالداتا الطبية 🩺 #Medicine_Way #Mansour_Algazzar @Medicine_Way2 ▄▄▄▄▄▄▄▄▄▄▄▄ 🌟 البداية | أهم الروابط 📌 فهرس جميع قنوات الداتا: https://t.me/Medicine_Way2/9516 .... 📂 جميع قنوات Medicine Way في Folder https://t.me/addlist/hmU3TFLKciRjZjY0 .... ━━━━━━━━━━━━━━ أولًا | المديولات والداتا الطبية 🩺 فهرس كل ما يخص المديولات: https://t.me/Medicine_Way2/3514 .... 🩺 فهرس كل ما يخص الداتا …

❤8👍2

6 Nov 2026, 15:34 UTC≈6,750 views23 reactionsread 11 November 2026

ميتنج جديد بكرا ان شاء الله هنتكلم فيه عن تفاصيل كتيره جدا تفيدكم ، ومش هنقفل كلام مع دكتور احمد غير اما نكون عرفنا كل التفاصيل الي محتاجين نعرفها عن الريسيرش 😂❤️ جهزوا أسئلتكم ❤️ وشاركوا الجروب مع زمايلكم وان شاء الله الجميع يستفاد بإذن الله

❤21👍2

6 Nov 2026, 15:26 UTC≈10,100 views19 reactionsread 11 November 2026
Photo

🔬 Medical Research: From Zero to Your First Publication نفسك تبدأ Research ومش عارف تبدأ منين؟ 🎙 لقاء اخر مميز مع د. أحمد نجيدة هنتكلم فيه عن: ☑️ How to Start Medical Research ☑️ Free Resources & Research Skills ☑️ Finding Research Opportunities & Mentors ☑️ Research Ideas & Research Gaps ☑️ Systematic Reviews & Meta-analyses ☑️ From Your First Project to Publication ☑️ Building a Strong Research CV ☑️ AI in Medic…

❤16👍3

5 Nov 2026, 18:58 UTC≈7,150 views53 reactionsread 11 November 2026
Photo

مكتبه مجانيه متكامله لكل المديولات ........ يا تري شايفين محتاجين تشوفو فيها اي ؟؟

❤44👍7🕊1🥰1

4 Nov 2026, 18:44 UTC≈8,600 views114 reactionsread 11 November 2026
Photo

انتظرونا .................... ❤️❤️❤️

❤86🔥19👏4👍3🕊2

4 Nov 2026, 08:42 UTC≈7,690 views11 reactionsread 11 November 2026
Forwarded from @Medicine_Way4

📌 فهرس المراجع والسلاسل الطبية Medical References & Book Series Index #Medical_References_MW #Medicine_Way #Mansour_Algazar @Medicine_Way2 ▄▄▄▄▄▄▄▄▄▄▄▄ 🧬 أولًا | مراجع العلوم الطبية الأساسية | Basic Medical Sciences 💪 مراجع Anatomy https://t.me/Medicine_Way4/1634 .. ❤️ مراجع Physiology https://t.me/Medicine_Way4/1643 .. 🔬 مراجع Histology https://t.me/Medicine_Way4/1650 .. 🧪 مراجع Biochemistry https://t.me/Medicine_Wa…

❤10👍1

2 Nov 2026, 18:01 UTC≈7,620 views17 reactionsread 11 November 2026
Photo

🏆🔥 وأخيرًا… عندنا الفائز بأول مسابقة Referrals من Medicine Way! 🎉 فاكرين مسابقة الإحالات اللي أعلنا عنها مع بداية شهر أكتوبر؟ 👀 وعدناكم إن أكتر شخص يحقق إحالات خلال الشهر هيكسب والنهارده جه وقت إعلان الفائز! 🥳 🥇 ألف مبروك لـ Ashraf Reda (أشرف رضا) طب المنيا🎉❤️ استنوا مسابقات وجوايز أقوى الفترة الجاية، والفرصة الجاية ممكن تكون من نصيبك! 🔥 Medicine Way ❤️ Together, We Make Medicine Easier.

❤13👍4

2 Nov 2026, 15:25 UTC≈5,220 views15 reactionsread 11 November 2026

فهرس قنوات Medicine Way الخاصة بالداتا الطبية 🩺 #Medicine_Way #Mansour_Algazzar @Medicine_Way2 ▄▄▄▄▄▄▄▄▄▄▄▄ 🌟 البداية | أهم الروابط 📌 فهرس جميع قنوات الداتا: https://t.me/Medicine_Way2/9516 .... 📂 جميع قنوات Medicine Way في Folder https://t.me/addlist/hmU3TFLKciRjZjY0 .... ━━━━━━━━━━━━━━ أولًا | المديولات والداتا الطبية 🩺 فهرس كل ما يخص المديولات: https://t.me/Medicine_Way2/3514 .... 🩺 فهرس كل ما يخص الداتا …

❤13👍2

Showing the 12 most recent of 150 posts we hold for @Medicine_Way2. 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

@Medicine_Way2 edited 8 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
17 August 2026
Most recent edit
12 October 2026

Posts recorded as deleted after publishing

We recorded 18 posts on @Medicine_Way2 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
8 August 2026
Most recent seen missing
9 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
5

Forward network

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 12 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.

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.

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@FUTUREDOCTORS_194 · 44,056
#24
Surgical Ops and Books🥼 طب الإمتياز
@SurgicalEducation · 1,756
#25
Medicine_Stagiaires👩🏻‍🎓👨🏻‍🎓
@Medicine_25 · 6,808
#26
MEDICAL COLLECTIONS
@WhiteCoatEmpire · 2,368
#27
Internal Medicine | MW
@Medical_Patna · 47,676
#28
القصر العينى - 194
@kasralainymed · 5,455
#29
الدفعة ٤٠ – طب بشري | جامعة صنعاء – USF
@USFmedical_40 · 3,015
#30
𝐀𝐥𝐥 𝐌𝐞𝐝𝐢𝐜𝐢𝐧𝐞
@meddico10 · 11,574
#31
انكي طب بغداد
@ankiuobcom · 10,399
#32
Gomaa stitch 🇵🇸
@Gomaa_stitch · 22,247
#33
Medical MCQ
@MCQ_MCQ_Fahd · 8,495
#34
𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐌𝐞𝐝𝐢𝐜𝐢𝐧𝐞 ♥️؛؛
@ECG2023 · 28,553
#35
Doctorology🔻
@DoctorOlogyy · 4,633
#36
🛰 برامج ومراجع طبية📱📚Applications and Medical References
@km77027medical · 9,333
#37
Fakous Materials courses
@Fakous_matrial_courses2022 · 7,331
#38
Clinical GIT | MW
@GIT_Clinic · 10,478
#39
تلخيصات طبية
@talkesattebia · 58,701
#40
طالب طب 🧠
@talibtib11 · 6,504
#41
Gynaecology & Obstetrics | MW
@Gyna_Obs_Data · 26,639
#42
Medical Records | MW
@Medical_Record · 30,219
#43
امتياز النظام الجديد - 5+2 🩺
@emtyaz_2023 · 17,226
#44
short step 95
@shortstep95 · 17,992
#45
All Kaplan Premium Videos
@All_Kaplan_Premium_Videos · 14,380
#46
2nd Stage
@Dr_2nd · 13,215
#47
Ophthalmology Module | MW
@Ophthalmology_Data · 17,394
#48
تفريغات مواد طبية
@tafrighat · 47,309
#49
Pass Usmle ( ملخص لتجاربنا + اهم المصادر)
@Elhusseiny_Usmle · 8,193
#50
Easy Renal
@Easy_Renal · 8,341
#51
Making sense of medicine
@makingsenseofmedicine1 · 6,768
#52
Musculoskeletal (Locomotor) | MW
@MSK_Module · 23,664
#53
One Of Akind Student's 31🤓
@ooas31 · 8,998
#54
مورستان بلاك ليست🕵‍♂
@Morestanblacklist88 · 27,637
#55
📚 المخزن 🩺
@TheStudyStore · 50,215
#56
Dr.YoussefMohsen
@dryoussefmohsen · 33,871
#57
منتدى طلاب كلية الطب جامعة العلوم والتكنولوجيا
@ustr01 · 5,494
#58
ZMSU | NEWS 55
@Z_ms55 · 5,707
#59
Anatomy
@Anatomy_Fahd · 9,401
#60
Pediatrics | MW
@Pediatric_Data · 23,909
#61
Asrology Official
@Asrology_Official · 5,245
#62
Clinical Nephrology | MW
@Nephrology_Clinical · 9,735
#63
داتا (١٩٦)
@alkasralainy · 7,340
#64
FUTURE DOCTORS 195🩺
@FUTUREDOCTORS_Siraj · 30,784
#65
Surgery Data | MW
@Surgery_Data · 26,261
#66
Batch 197 | Kasr Alainy
@kasralainy197 · 7,699
#67
Usmle iraqi
@iraqianusmle · 4,540
#68
فــــ دقايــــــق - Medicine
@fedqayqmedicine · 10,012
#69
Easy CVS
@Cardiovascular_Medical_Data · 14,473
#70
(ISH) Medical algorithms
@medicalAlgorithms · 11,651
#71
معلومات طبية M. Information
@M_Information11 · 8,823
#72
قناة أسراوي في العيادة 📝
@asrawyfel3yadachannel · 32,423
#73
Polite Doctor🩺
@skills_first · 43,548
#74
Clinical Practice guidelines
@ClinicalPharmGuideline · 62,629
#75
اللجنة العلمية للدفعة الخامسة|USF
@fifth_scientific_channel · 3,502
#76
Medical Notes
@Aseel_Al_Humidi · 11,546
#77
تزكية الطبيب
@Tazkia9 · 13,310
#78
Medical Guidelines 2025_2026
@Mmmmmm221234 · 37,514
#79
MedStudy Videos
@MedStudyVideos · 15,824
#80
KSUMSC
@KSUMSCa · 7,109
#81
قناة: عاصِم دُويْدار.
@dowaidar · 2,048
#82
Hamdi’s pulmonary channel
@RespiratoryChest · 3,030
#83
free AMBOSS lectures
@ambosslectures · 13,723
#84
طَاقَةُ بِالمُوجَب - الرسمية
@Taqat_bialmujab · 67,388
#85

Read from Telegram’s recommendation API, most recently 16 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.

Medicine Way - القناه الاحتياطية | MW
@Medicine_Way4 · 25,322
Telegram ranks this channel #1 of 90 here — alongside 89 others — read 18 September 2026
Gynaecology & Obstetrics | MW
@Gyna_Obs_Data · 26,639
Telegram ranks this channel #1 of 82 here — alongside 81 others — read 14 September 2026
Introduction Modules | سنة أولى طب
@Introduction_Modules · 31,329
Telegram ranks this channel #1 of 87 here — alongside 86 others — read 11 September 2026
Medical Records | MW
@Medical_Record · 30,219
Telegram ranks this channel #1 of 77 here — alongside 76 others — read 8 September 2026
PostGraduate 🎓| MW
@PostGrad_Med · 42,240
Telegram ranks this channel #1 of 88 here — alongside 87 others — read 30 August 2026
Internal Medicine | MW
@Medical_Patna · 47,676
Telegram ranks this channel #1 of 91 here — alongside 90 others — read 28 August 2026
Easy Medicine (Osama Ramadan)
@Medical_Data_Channel · 50,041
Telegram ranks this channel #1 of 82 here — alongside 81 others — read 26 August 2026
سافر (Suffer) يا دكتور
@Suffer_ya_doctor · 136,187
Telegram ranks this channel #1 of 88 here — alongside 87 others — read 16 August 2026
Ahmed Elashmawy 🐢🩺
@Ahmed_Elashmawy00 · 37,996
Telegram ranks this channel #2 of 82 here — alongside 81 others — read 31 August 2026
MBFD2018
@mbfd2018 · 77,674
Telegram ranks this channel #3 of 64 here — alongside 63 others — read 21 August 2026
USMLE pathway ( FA Explanations + sources + Experiences )
@passusmle111 · 22,382
Telegram ranks this channel #6 of 81 here — alongside 80 others — read 23 September 2026
مورستان بلاك ليست🕵‍♂
@Morestanblacklist88 · 27,637
Telegram ranks this channel #6 of 91 here — alongside 90 others — read 12 September 2026
تلخيصات طبية
@talkesattebia · 58,701
Telegram ranks this channel #7 of 83 here — alongside 82 others — read 22 August 2026
Pediatrics | MW
@Pediatric_Data · 23,909
Telegram ranks this channel #8 of 91 here — alongside 90 others — read 20 September 2026
Surgery Data | MW
@Surgery_Data · 26,261
Telegram ranks this channel #8 of 84 here — alongside 83 others — read 14 September 2026
تفريغات مواد طبية
@tafrighat · 47,309
Telegram ranks this channel #8 of 86 here — alongside 85 others — read 26 August 2026
فِقْهُ الطَّبِيب"ما لا يسَعُ المسلم الطبيب جهله"
@fiqh_altabib · 96,464
Telegram ranks this channel #9 of 97 here — alongside 96 others — read 16 August 2026
مشروع ضاكتور
@Mashrou3_Dactoor · 45,049
Telegram ranks this channel #10 of 82 here — alongside 81 others — read 30 August 2026
Musculoskeletal (Locomotor) | MW
@MSK_Module · 23,664
Telegram ranks this channel #12 of 83 here — alongside 82 others — read 19 September 2026
📚 المخزن 🩺
@TheStudyStore · 50,215
Telegram ranks this channel #14 of 83 here — alongside 82 others — read 26 August 2026
Surgery Videos and Books
@Surgery_Videose · 36,115
Telegram ranks this channel #15 of 73 here — alongside 72 others — read 2 September 2026
FUTURE DOCTORS CHANNEL🩺
@FUTUREDOCTORS_194 · 44,056
Telegram ranks this channel #15 of 89 here — alongside 88 others — read 29 August 2026
PDFology
@PDFology · 65,730
Telegram ranks this channel #15 of 77 here — alongside 76 others — read 20 August 2026
فيديوهات د. ايمن خنفور - Ayman khanfour
@ayman_khanfour · 36,092
Telegram ranks this channel #19 of 88 here — alongside 87 others — read 3 September 2026

This channel appears in 43 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“Medicine Way | MW” (@Medicine_Way2), 134,402 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/Medicine_Way2.

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.