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 why it has no browse page of its own yet.
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 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)
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 0 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 10 comparable posts for this entry, running 4 August 2026 to 7 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 3, the earliest publisher we hold is @tashmeduni — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 8 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 2 other registered channels, 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.
33 measurements spanning 42 days, net +5,114. 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 14,938–21,591 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 05:40
20,823
+10
15 Sept 2026, 06:38
20,813
+17
13 Sept 2026, 16:02
20,796
-17
11 Sept 2026, 23:39
20,813
+49
9 Sept 2026, 15:20
20,764
+329
6 Sept 2026, 07:40
20,435
+522
3 Sept 2026, 22:00
19,913
+436
2 Sept 2026, 11:15
19,477
+129
1 Sept 2026, 08:13
19,348
+52
31 Aug 2026, 10:57
19,296
+36
30 Aug 2026, 09:54
19,260
+107
29 Aug 2026, 07:43
19,153
+60
28 Aug 2026, 05:24
19,093
+163
27 Aug 2026, 01:46
18,930
+119
26 Aug 2026, 02:04
18,811
+205
25 Aug 2026, 05:11
18,606
+248
24 Aug 2026, 05:37
18,358
+410
22 Aug 2026, 12:44
17,948
+675
21 Aug 2026, 00:13
17,273
+506
19 Aug 2026, 21:57
16,767
first reading
Engagement
134 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.3%
avg views ÷ 20,823 subscribers
Avg views / post
4,640
66 posts measured
Reaction rate
0.372%
reactions ÷ views · ER floor
Posts in window
66
of 134 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 65 of 66 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 2 September 2026
Posts held
134 (4 August 2026 – 2 September 2026)
Views total
305,940
Reactions total
1,121
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:15 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
54m 53s
Average length
1m 12s
Measured directly from 46 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
2,011 reactions across 126 posts, in 2 distinct kinds. The most used accounts for 67.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,355
67.4%
👍
656
32.6%
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 128 of the 134 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 2,011 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 134 most recent posts we hold, published 4 August 2026 to 2 September 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.
🔺 O‘zbekiston Respublikasi davlat mustaqilligining 35 yilligiga bag‘ishlangan “Mustaqillik darsi”
🔺 2026-yil 2-sentabr kuni Toshkent davlat tibbiyot universitetida O‘zbekiston Respublikasi davlat mustaqilligining 35 yilligi munosabati bilan “Mustaqillik darsi” o'tkazildi.
🔺 Ushbu seminarni Yoshlar masalalari va ma'naviy-ma'rifiy ishlar bo'yicha birinchi prorektori T.A.Bobomuratov so‘zga chiqib, professor-o‘qitu…
#mandat #magistratura #qabul2026
⚡️Magistratura qabul natijalari e’lon qilindi
2026/2027-oʻquv yili uchun davlat oliy taʼlim tashkilotlarining magistratura mutaxassisliklariga qabul boʻyicha my.edu.uz elektron tizimi hamda yagona interaktiv davlat xizmatlari portali (my.gov.uz) orqali onlayn roʻyxatdan oʻtgan fuqarolarning arizalari toʻliq koʻrib chiqildi.
Talabgorlar natijalarni my.edu.uz elektron tizimi orqali s…
🔺 Toshkent davlat tibbiyot universitetida O‘zbekiston Respublikasi davlat mustaqilligining 35 yilligi munosabati bilan “MUSTAQILLIK KUBOGI”: SPORT — BIRDAMLIK VA G‘ALABA SARI! shiori ostida voleybol bo‘yicha “Mustaqillik kubogi” musobaqasi bo‘lib o‘tdi.
🔺 Toshkent davlat tibbiyot universitetining “Shifokor” sport majmuasida O‘zbekiston Respublikasi davlat mustaqilligining 35 yilligi munosabati bilan voleybol sport t…
🔺 Mustaqillik bayramiga bag‘ishlangan ijodiy chiqish
🔺 Toshkent davlat tibbiyot universiteti 2-kampus, 1-Pediatriya fakulteti “2-son o‘zbek va xorijiy tillar” kafedrasi professori, O‘zbekiston Yozuvchilar uyushmasi a’zosi, O‘zbekistonda xizmat ko‘rsatgan Yoshlar murabbiysi, “Shuhrat medali” sohibasi Kavsar Sheraliyevna Turdiyevaning ijod namunalari asosida tayyorlangan musiqiy chiqishlar yurtimiz Mustaqilligining 3…
🏆 E’LON
🧪 Professor Sattor Jabbor xotirasiga bag‘ishlangan TIBBIY KIMYO FANIDAN RESPUBLIKA ONLAYN OLIMPIADASI!
Hurmatli talabalar!
Sizlarni tibbiyot sohasida fundamental fanlarning o‘rni va ahamiyatini oshirish, talabalarning ilmiy salohiyati hamda tibbiy kimyo bo‘yicha bilimlarini sinovdan o‘tkazishga qaratilgan Professor Sattor Jabbor xotirasiga bag‘ishlangan Tibbiy kimyo fanidan Respublika onlayn olimpiadasida ish…
🏆 E’LON
🩺 S.T. Agzamxo‘jayev nomidagi olimpiada
Amaliy ko‘nikmalar va nazariy bilimlar bo‘yicha Universitet olimpiadasi!
Hurmatli talabalar!
Sizlarni tibbiyot sohasidagi nazariy bilim va amaliy ko‘nikmalarni sinovdan o‘tkazishga qaratilgan S.T. Agzamxo‘jayev nomidagi olimpiadada ishtirok etishga taklif qilamiz!
Olimpiada 2 bosqichda o‘tkaziladi.
📚 1-BOSQICH — TEST SINOVI
📅 Sana: 16-sentabr
Birinchi bosqich ingliz til…
📢 E’LON
🦠 AKADEMIK T.O. DAMINOV XOTIRASIGA BAG‘ISHLANGAN YUQUMLI KASALLIKLAR BO‘YICHA XALQARO TALABALAR OLIMPIADASI
Toshkent davlat tibbiyot universitetining Iqtidorli talabalarning ilmiy-tadqiqot faoliyatini tashkil etish bo‘limi, Yuqumli va bolalar yuqumli kasalliklari kafedrasi, Epidemiologiya kafedrasi hamda 1-son jamoat salomatligi va sog‘liqni saqlash menejmenti kafedrasi oliy tibbiyot ta’lim muassasalarining …
📢 E’LON
🏆 AKADEMIK U.A. ARIPOV NOMIDAGI I XALQARO AMALIY KO’NIKMALAR OLIMPIADASI
Akademik U.A. Aripov nomidagi I Xalqaro amaliy ko’nikmalar olimpiadasida ishtirok etish uchun universitet miqyosida ichki saralash bosqichi o‘tkaziladi.
🔹 Saralash quyidagi yo‘nalishlar bo‘yicha o‘tkaziladi:
🩺 JARROHLIK YO‘NALISHLARI
• Yurak-qon tomir jarrohligi
• Abdominal jarrohlik
• Kam invaziv jarrohlik
• Torakal jarrohlik
• Neyrojar…
🇺🇿 Bayramga munosib tuhfa:
“Birlashib, buyuk tarix yaratamiz!”
📚 Respublika Ma’naviyat va ma’rifat markazi, Ijtimoiy-ma'naviy tadqiqotlar instituti tomonidan bir guruh olimlar bilan hamkorlikda ulug‘ ayyom arafasida muhim ma’naviy-ma’rifiy nashr tayyorlandi. “Birlashib, buyuk tarix yaratamiz!” nomli kitobda Prezidentimiz Shavkat Mirziyoyevning O‘zbekiston Respublikasi davlat mustaqilligining 35 yilligiga bag‘ishlang…
##Mustaqilligimizning 35 yilligi🇺🇿🇺🇿
Maktabgacha ta’lim — mustaqillik yillarida erishilgan natijalar va ustuvor maqsadlar
Mustaqillik yillarida mamlakatimizda maktabgacha ta’lim tizimini rivojlantirishga alohida e’tibor qaratildi. Bolalarni ta’lim bilan qamrab olish, ular uchun zamonaviy va qulay sharoitlar yaratish, ta’lim-tarbiya sifatini oshirish maqsadida keng ko‘lamli islohotlar amalga oshirildi.
2017-yilda 2…
#Mustaqilligimiz_35_yilligiga🇺🇿
35-yillik taraqqiyot: oliy ta’limdagi ulkan islohotlar va o‘zgarishlar
🇺🇿Mamlakatimizda eng ulug‘, eng aziz bayram – O‘zbekiston Respublikasi mustaqilligining qutlug‘ 35 yilligini katta tantana bilan nishonlash ostonasida turibmiz.
Mustaqillik bizga o‘zligimizni qayta anglash, ko‘p asrlik qadriyatlar va ma’naviy merosimizni tiklash, dunyo hamjamiyatida munosib o‘rin egallash imkonini…
👍7❤2
Showing the 12 most recent of 134 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
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 22 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.
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 · 42,219 Telegram ranks this channel #2 of 70 here — alongside 69 others — read 1 September 2026
TIBBIY BUYRUQLAR @tibbiy_buyruqlar · 27,998 Telegram ranks this channel #4 of 74 here — alongside 73 others — read 18 September 2026
Tibbiyotga oid prezentatsiyalar @tibbiy_ppt · 27,354 Telegram ranks this channel #6 of 89 here — alongside 88 others — read 11 September 2026
Sog‘liqni saqlash vazirligi @ssvuz · 127,541 Telegram ranks this channel #6 of 69 here — alongside 68 others — read 14 August 2026
Anatomiya.uz | Tibbiy ta‘lim @ANATOMIYA_UZ · 24,688 Telegram ranks this channel #10 of 86 here — alongside 85 others — read 17 September 2026
Magistrlar Official @magistrlarofficial · 62,689 Telegram ranks this channel #12 of 81 here — alongside 80 others — read 22 August 2026
Врачи Узбекистана @vrachi_uzbekistana · 23,419 Telegram ranks this channel #13 of 71 here — alongside 70 others — read 18 September 2026
Doctors | Team @doctors_team · 28,769 Telegram ranks this channel #13 of 82 here — alongside 81 others — read 8 September 2026
-Ta’lim yangiliklari | Rasmiy @Talimyangiliklari_uz · 33,252 Telegram ranks this channel #13 of 80 here — alongside 79 others — read 3 September 2026
-Talabalar | Rasmiy @Talabalar_studentlar_official · 65,414 Telegram ranks this channel #16 of 79 here — alongside 78 others — read 20 August 2026
Ilmiy darajali kadrlarni tayyorlash @ilmiy_darajali_kadrlar · 33,266 Telegram ranks this channel #20 of 81 here — alongside 80 others — read 5 September 2026
Doktorantlar Official || PhD, DSc @doktorantlarofficial · 46,954 Telegram ranks this channel #27 of 84 here — alongside 83 others — read 27 August 2026
Физиология человека @fiziologii1tj · 26,638 Telegram ranks this channel #52 of 86 here — alongside 85 others — read 16 September 2026
Операционная @Operation_med · 27,119 Telegram ranks this channel #54 of 71 here — alongside 70 others — read 11 September 2026
Медицинский Блог | Медицина @medproblog · 29,720 Telegram ranks this channel #75 of 82 here — alongside 81 others — read 8 September 2026
Я СТУДЕНТ МЕДИК @student_medik · 23,362 Telegram ranks this channel #83 of 86 here — alongside 85 others — read 18 September 2026
This channel appears in 16 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Toshkent davlat tibbiyot universiteti | rasmiy” (@tashmeduni), 20,823 subscribers as measured 17 September 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.