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Channel

Toşkent davlat tibbiyot universiteti | rasmiy

@tashmeduni

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

20,674subscribers

+4,965 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-1001205066663
TypeChannel
Username@tashmeduni
DescriptionToşkent davlat tibbiyot universiteti yangiliklari / Новости Ташкентского государственного медицинского университета 📞 71 150-78-28 📧 [email protected] 🌐 www.tashmeduni.uz 📲 instagram.com/tashmeduni 📲 facebook.com/tashmeduni ©ToşDavTU Axborot xizmati
Created26 November 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/tashmeduni

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 55% 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 5 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@ssvmatbuotkotibi/212364 Aug 2026, 10:43 UTC@tashmeduni/38864 · this entry4 Aug 2026, 10:50 UTC1.007 minutes
@ssvmatbuotkotibi/2143524 Aug 2026, 05:08 UTC@tashmeduni/39021 · this entry24 Aug 2026, 05:23 UTC1.0014 minutes
@ssvmatbuotkotibi/2144926 Aug 2026, 07:19 UTC@tashmeduni/39039 · this entry26 Aug 2026, 08:10 UTC1.0052 minutes
@ssvmatbuotkotibi/2148128 Aug 2026, 10:05 UTC@tashmeduni/39079 · this entry28 Aug 2026, 10:23 UTC1.0018 minutes
@ssvmatbuotkotibi/2175527 Sept 2026, 08:07 UTC@tashmeduni/39717 · this entry27 Sept 2026, 10:13 UTC1.002.1 hours
@ssvmatbuotkotibi/2178230 Sept 2026, 07:29 UTC@tashmeduni/39872 · this entry30 Sept 2026, 07:33 UTC1.004 minutes
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
@ssvmatbuotkotibi12 (8/8 hand-verifiable sample passed)1.0040 minutes@ssvmatbuotkotibi (12–0)
@tashmeduni_mth9 (8/8 hand-verifiable sample passed)1.0023 minutes@tashmeduni_mth (7–2)
@tashmeduni_pediatriya6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (5–1)
@tdsi_uz_20195 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (4–1)
@eduuz7 (7/7 hand-verifiable sample passed)1.0072 seconds@eduuz (7–0)

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. 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 279 comparable posts for this entry, running 4 August 2026 to 13 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 @tashmeduni — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 14 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

15,70621,44718,576.520,6746 August 202612 November 2026
65 measurements spanning 98 days, net +4,965. 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 14,845–22,308 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
12 Nov 2026, 07:4720,674-18
10 Nov 2026, 03:1020,692-11
8 Nov 2026, 14:5120,703-13
7 Nov 2026, 11:1020,716-24
6 Nov 2026, 12:1720,740-4
5 Nov 2026, 12:4620,744-14
4 Nov 2026, 12:4820,758-9
3 Nov 2026, 14:4720,767-13
2 Nov 2026, 13:3920,780-4
1 Nov 2026, 16:0620,784-33
31 Oct 2026, 19:0820,817-11
30 Oct 2026, 21:3120,828+4
29 Oct 2026, 22:4420,824-6
28 Oct 2026, 23:5920,830-9
27 Oct 2026, 21:2820,839-20
26 Oct 2026, 22:3620,859-23
25 Oct 2026, 22:1620,882-9
24 Oct 2026, 22:5720,891-31
23 Oct 2026, 21:0820,922-27
22 Oct 2026, 22:0920,949first reading

Engagement

292 posts held, back to 4 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 83 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.90%
avg views ÷ 20,674 subscribers
Avg views / post
1,630
105 posts measured
Reaction rate
0.317%
reactions ÷ views · ER floor
Posts in window
105
of 292 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 104 of 105 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 14 November 2026
Posts held292 (4 August 2026 – 14 November 2026)
Views total171,508
Reactions total539
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 16:04 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
≈31,200
Videos
≈4,030
Links
≈11,600

Lifetime counters from Telegram’s own channel header, read 14 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
2h 02m
Average length
1m 19s

Measured directly from 93 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

2,995 reactions across 281 posts, in 2 distinct kinds. The most used accounts for 68.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,05968.7%
👍93631.3%

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 285 of the 292 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 2,995 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 292 most recent posts we hold, published 4 August 2026 to 14 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: 4 of 105 posts held from the last 30 days (3.81%) 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).

14 Nov 2026, 16:01 UTC121 views0 reactionsread 14 November 2026
Photo

#Teatr #PADARKUŞ ✍️TARBIYADA KEÇIKKAN HAR BIR KUN — KELAJAK OLDIDAGI MAS’ULIYAT Behbudiy bir oilaning fojiasi misolida butun millatni oğohlantirgan edi. Farzand tarbiyasi u dunyoga kelgan kundan boşlanadigan, butun umr davom etadigan mas’uliyatdir. Bola ota-onasining aytganlaridan köra, qilgan işlaridan köproq örnak oladi. Oilada kitob qadrlansa, farzand ilmga intiladi. Ustoz ulüğlansa, farzand ehtiromni örganadi. …

14 Nov 2026, 13:39 UTC≈1,440 views6 reactionsread 14 November 2026
Photo

🔺 Toşkent davlat tibbiyot universitetida “Dekan va yoşlar uçraşuvi” bölib ötdi ➡️ Toşkent davlat tibbiyot universitetining 5-talabalar turar joyida 2-davolaş fakulteti dekani Irnazarov Akmal Abdullayeviç va talaba-yoşlar iştirokida “Dekan va yoşlar uçraşuvi” bölib ötdi. Uçraşuvda fakultet dekan örinbosarlari, 5-TTJ tarbiyaçi-pedagogi şuningdek, tyutorlar iştirok etdilar. 🔺 Muloqot davomida talaba-yöşlarning ta’…

❤6

14 Nov 2026, 10:13 UTC≈1,790 views5 reactionsread 14 November 2026
Photo

Toşkent davlat tibbiyot universitetida Sankt-Peterburg davlat tibbiyot universiteti rektori bilan uçraşuv bo‘lib o‘tdi Bugun Toşkent davlat tibbiyot universitetiga Rossiyaning I.I. Pavlov nomidagi Birinçi Sankt-Peterburg davlat tibbiyot universiteti rektori, tibbiyot fanlari doktori, professor, Rossiya Fanlar akademiyasi akademigi Sergey Fyodoroviç Bagnenko taşrif buyurdi. Taşrif davomida mehmon universitet faoliya…

❤3👍2

14 Nov 2026, 08:18 UTC≈1,850 views7 reactionsread 14 November 2026
Photo

#sayyor_qabul ✍️Qator murojaatlar joyida hal etildi. Qöşimça örganish va amaliy yeçim talab qiladigan masalalar yuzasidan tegishli prorektorlar hamda bölim rahbarlariga vazifalar berildi. Talabalar turar joylarini zamonaviy kompyuterlar, yangi kitoblar bilan ta’minlaş, mavjud infratuzilmani yanada takomillaştiriş masalalari ham kun tartibidan örin oldi. Ahamiyatlisi, bugungi muloqotda talabalarning nafaqat ijtimoiy …

❤7

14 Nov 2026, 07:21 UTC≈1,660 views4 reactionsread 14 November 2026
Photo

#munozara2026 #final 🗣 “Munozara” respublika debat tanlovi ğoliblari aniqlandi! 🏛 Talaba-yoşlar bilan işlaş markazi hamda hamkor taşkilotlar tomonidan taşkil etilgan “Munozara” respublika debat tanlovining final bosqiçi Toşkent davlat texnika universiteti mezbonligida bölib ötdi. Ikki kun davom etgan hal qiluvçi bahslarda saralaş bosqiçlaridan muvaffaqiyatli ötgan 16 ta jamoa özaro bellaşdi. 🏆 Yakuniy natijalarga …

❤4

13 Nov 2026, 16:13 UTC≈2,290 views9 reactionsread 14 November 2026
Photo

🔹🟦🟦🟦 🟦🟦 🔺 Toşkent davlat tibbiyot universiteti rektorining sayyor qabuli ötkaziladi ➡️ 2026-yil 14-noyabr kuni soat 11:00 da Toşkent davlat tibbiyot universiteti rektori Shuxrat Boymuradovning sayyor qabuli o‘tkazişi rejalaştirilgan. ✈️ Qabul Universitet rahbariyati bilan talabalar, ularning ota-onalari, professor-öqituvçilar va xodimlar örtasida bevosita va oçiq muloqotni yölga qöyiş, mavjud muammolarni joyida an…

❤9

13 Nov 2026, 15:06 UTC≈1,670 views6 reactionsread 14 November 2026
Photo

#JARAYON 🎙 «DOKTOR REPORTER» XABAR BERADI! 🩺 BOLALAR SALOMATLIGI — KELAJAK POYDEVORI! Ayni damda «Bolalar salomatligini muhofaza qilişda pediatriya xizmatining ilmiy va amaliy jihatlari: innovatsiyalar va istiqbollar» mavzusidagi V Xalqaro ilmiy-amaliy anjuman bölib ötmoqda. 🌍 Xalqaro anjumanda bolalar salomatligini muhofaza qiliş, pediatriya xizmatini takomillaştiriş, zamonaviy diagnostika va davolaş usullarini ama…

❤4👍2

13 Nov 2026, 14:41 UTC≈2,050 views13 reactionsread 14 November 2026
Photo

XOTIN-QIZLAR SALOHIYATI JAMIYAT TARAQQIYOTI POYDEVORI 😀 Toşkent davlat tibbiyot universitetining Pediatriya hududi 1-pediatriya fakulteti talaba-qizlari iştirokida “Rahbar va yoşlar uçraşuvi” taşkil etildi. 🔺Oçiq muloqotda Toşkent davlat tibbiyot universiteti Xotin-qizlar maslahat kengaşi raisi Mahkamova Iroda Karimjonovna iştirok etib, talaba-qizlar bilan universitetda yoşlar uçun yaratilgan imkoniyatlar, davlat st…

❤11👍2

13 Nov 2026, 12:02 UTC≈1,870 views3 reactionsread 14 November 2026
Photo

🔺 Toşkent davlat tibbiyot universiteti Akademik litsey va texnikumlarga metodik yordam beriş bölimi xodimlari tomonidan nogironligi bölgan yoşlarning ta’lim olişi , kasb hunar egallaşi va ijtimoiy xayotga moslashuvini o‘rganish maqsadida Mirzo Ulug‘bek imkoniyati çeklangan şaxslar maxsus texnikumiga taşrif buyushtirildi. ➡️ Taşrifdan maqsad ,nogironligi bölgan yoşlarning ta’lim olişi ,kasb egallaşi va ijtimoiy mosla…

❤3

13 Nov 2026, 11:57 UTC≈1,300 views3 reactionsread 14 November 2026
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🔺 14-NOYABR – BUTUNJAHON QANDLI DIABETGA QARŞI KURAŞ KUNI! ➡️ Toşkent davlat tibbiyot universitetida 14-noyabr – Butunjahon qandli diabetga qarşi kuraş kuni munosabati bilan Endokrinologiya va bolalar endokrinologiyasi kafedrasi mudiri, t.f.d. H.K.Nasirova taşabbusi bilan profilaktik tarğibot aksiyasi taşkil etildi. 🔺 Aksiya davomida professor-öqituvçilar, universitet xodimlari va talabalar uçun qondagi glyukoza m…

❤3

12 Nov 2026, 16:13 UTC≈1,310 views1 reactionsread 13 November 2026
Video

# EʼLON ENG INNOVATSION ĞOYA” RESPUBLIKA TANLOVINING UNIVERSITET SARALAŞ BOSQIÇIGA QABUL QILINGAN TALABALAR RÖYXATI Toşkent davlat tibbiyot universitetida “Eng innovatsion ğoya” respublika tanlovining universitet saralaş bosqiçida iştirok etiş uçun quyidagi talabalar qabul qilindi: 1. Yuldaşev Abdulloh 2. Tangirov Erali Agzam öğli 3. Nazarov Öktam Usmon öğli 4. Izbasarov Islomjon Ilxam öğli 5. Ahmedov Diyorbek Anv…

❤1

12 Nov 2026, 16:02 UTC≈1,350 views1 reactionsread 13 November 2026
Photo

#konferensiya 📌#ERTAGA #KAPKAYEV_ÖQIŞLARI: ✍️ILMIY MEROS, ZAMONAVIY TIBBIYOT VA YANGI IZLANIŞLAR 🔖13-noyabr kuni Toşkent şahrida Toşkent davlat tibbiyot universitetining 1-son dermatovenerologiya va kosmetologiya kafedrasi tomonidan “Kapkayev öqişlari” doirasida “Dermatovenerologiya va kosmetologiyaning dolzarb muammolari” mavzusida öquv-uslubiy konferensiya ötkaziladi. 💫Ilm-fan taraqqiyoti avlodlar davomiyligi, …

❤1

Showing the 12 most recent of 292 posts we hold for @tashmeduni. 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.

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 35 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.

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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@tdsi_uz_2019 · 2,896
#32
TDTU 🎓 slaydlar
@Tibbiy_slaydlar_Davolash · 1,178
#33
Toshkent Davlat tibbiyot universiteti 1- son akademik litseyi
@tma_al · 951
#34
⚜️Med_Students⚜️TMA_6
@Med_studentsTMA · 595
#35
TROLL.UZ
@trolluz · 83,204
#36
ToshDavTUXotin Qizlar Kengashi
@ToshDavTUXotin_qizlar_kengashi · 1,366
#37
USMLE InDoc
@usmleindoc · 6,148
#38
Shark Science
@drshark_asmi · 17,171
#39
𝐔𝐒𝐌𝐋𝐄 𝐆𝐨𝐨𝐝 𝐃𝐨𝐜𝐭𝐨𝐫
@GDgooddoctor · 4,300
#40
USMLE House
@Usmle_House · 1,195
#41
Toshkent Tibbiyot🩺🩻
@infinityTTA · 909
#42
Edu Med 2
@EduMeds_2 · 493 (as read 25 September 2026)
#43
Medicine with DJ
@toshkent_tibbiyot · 1,655
#44
Javokhir Khabibullaev (Jack Hobbs)
@JackHobbs · 3,513
#45
BSMI.UZ | Rasmiy kanali
@BSMI_UZ · 7,179
#46
KIUT | Rasmiy kanal
@kiut_official · 44,350
#47
Doctors | Team
@doctors_team · 25,965
#48
Medicine: step by step
@medicine_step_by_step · 7,409
#49
Genius by shahriyev
@genius_by_shahriyev · 443
#50
Urganç davlat tibbiyot instituti | Rasmiy Kanal
@UrDTI_rasmiy_kanal · 6,002
#51
EMU UNIVERSITY
@emuintash · 8,012
#52
Prof.Shukurov e-kutubxonasi/e-Библиотека Prof.Shukurov
@knigipoakusherstvoiginekologii · 1,116
#53
Xushnudbek.uz
@xushnudbek · 751,448
#54
Пресса.uz – Новости Узбекистана
@pressauz · 292,685
#55
НОВОСТИ ТАШКЕНТА
@etoparta_pro · 8,608
#56
Edu.uz
@eduuz · 143,549
#57
СТУДЕНТЫ С ПАРТЫ
@etopartapro · 4,939
#58
Актуальная Медицина
@med_ruz · 13,341
#59
Easy Medicine 🫀🥼
@easy_med1cine · 1,100
#60
SAMPI study club
@tpmistudyclub · 1,532
#61
Xushnudbek - o‘ta shaxsiy
@xushnudbekuz · 114,502
#62
Medcloud
@medcloud · 5,217
#63
WikiStipendiya
@wikistipendiya · 3,199
#64
Axmadjonov Islom (биология)
@biologyofthegalaxy · 1,443
#65
Grantlar.uz
@grantlar · 79,343
#66
Ilmiy yondashuv
@research1uz · 879
#67
Alisher Sadullaev
@alisher_sadullaev · 221,129
#68
USMLE School
@USMLEschooluz · 1,495
#69
Step by step🫀
@steps_journey · 855
#70
GrantGO
@grantgouz · 48,763
#71
🅑🅘🅞🅒🅗🅔🅜
@biochem_pro · 10,269
#72
🧪 Химия и Биология 🫀
@biologiyaendkimya · 6,063
#73
AvaChem | Avaz Azimovich
@Galaktikachem · 2,518
#74
ТМА ЖДИ НАС🤗
@tma_inshaallah · 461
#75
Химия/Биология_для поступления
@bio_chem_easy · 5,550
#76
Easy Biology🩺
@easy_biology1 · 1,683
#77
about everything
@abouteverythingXX · 11,365
#78
"Юный Медик" - Биология
@yuniy_biolog · 5,466
#79
Биология ДТМ и ЕГЭ (Динара Маратовна)
@biologiyaDTM_rus · 2,375
#80
Central Asian University
@centralasianuni · 5,747
#81

Read from Telegram’s recommendation API, most recently 25 September 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.

Tibbiyot va farmasevtika xodimlarining malakasini baholash markazi
@tibtoifa · 42,432
Telegram ranks this channel #2 of 70 here — alongside 69 others — read 1 September 2026
TIBBIY BUYRUQLAR
@tibbiy_buyruqlar · 29,645
Telegram ranks this channel #4 of 74 here — alongside 73 others — read 18 September 2026
Tibbiyotga oid prezentatsiyalar
@tibbiy_ppt · 28,549
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 11 September 2026
Sog‘liqni saqlash vazirligi
@ssvuz · 118,819
Telegram ranks this channel #6 of 69 here — alongside 68 others — read 14 August 2026
Anatomiya.uz | Tibbiy ta‘lim
@ANATOMIYA_UZ · 29,843
Telegram ranks this channel #10 of 86 here — alongside 85 others — read 17 September 2026
Magistrlar Official
@magistrlarofficial · 59,863
Telegram ranks this channel #12 of 81 here — alongside 80 others — read 22 August 2026
Врачи Узбекистана
@vrachi_uzbekistana · 23,491
Telegram ranks this channel #13 of 71 here — alongside 70 others — read 18 September 2026
Doctors | Team
@doctors_team · 25,965
Telegram ranks this channel #13 of 82 here — alongside 81 others — read 8 September 2026
Talim
@Talimyangiliklari_uz · 12
Telegram ranks this channel #13 of 80 here — alongside 79 others — read 3 September 2026
-Talabalar | Rasmiy
@Talabalar_studentlar_official · 62,089
Telegram ranks this channel #16 of 79 here — alongside 78 others — read 20 August 2026
Ilmiy darajali kadrlarni tayyorlash
@ilmiy_darajali_kadrlar · 36,068
Telegram ranks this channel #20 of 81 here — alongside 80 others — read 5 September 2026
Doktorantlar Official || PhD, DSc
@doktorantlarofficial · 48,837
Telegram ranks this channel #27 of 84 here — alongside 83 others — read 27 August 2026
Физиология человека
@fiziologii1tj · 28,471
Telegram ranks this channel #52 of 86 here — alongside 85 others — read 16 September 2026
Операционная
@Operation_med · 26,812
Telegram ranks this channel #54 of 71 here — alongside 70 others — read 11 September 2026
Библиотека Умного Медика
@smart_medics · 20,200
Telegram ranks this channel #57 of 87 here — alongside 86 others — read 27 September 2026
Медицинский Блог | Медицина
@medproblog · 29,409
Telegram ranks this channel #75 of 82 here — alongside 81 others — read 8 September 2026
Я СТУДЕНТ МЕДИК
@student_medik · 23,473
Telegram ranks this channel #83 of 86 here — alongside 85 others — read 18 September 2026

This channel appears in 17 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Toşkent davlat tibbiyot universiteti | rasmiy” (@tashmeduni), 20,674 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/tashmeduni.

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.