Channel
@tashmeduni_pediatriya
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
4,420subscribers
+116 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001167526293 |
|---|---|
| Type | Channel |
| Username | @tashmeduni_pediatriya |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/tashmeduni_pediatriya |
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 11 August 2026 and assigned it the closest of 31 fixed categories, at 94% 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.
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.
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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @tashmeduni/388594 Aug 2026, 10:40 UTC | @tashmeduni_pediatriya/25167 · this entry4 Aug 2026, 10:41 UTC | 1.00 | under a minute |
| @tashmeduni/388654 Aug 2026, 13:26 UTC | @tashmeduni_pediatriya/25173 · this entry4 Aug 2026, 13:26 UTC | 1.00 | under a minute |
| @tashmeduni/388796 Aug 2026, 11:31 UTC | @tashmeduni_pediatriya/25187 · this entry6 Aug 2026, 11:31 UTC | 1.00 | under a minute |
| @tashmeduni/388807 Aug 2026, 07:02 UTC | @tashmeduni_pediatriya/25188 · this entry7 Aug 2026, 07:03 UTC | 1.00 | under a minute |
| @tdsi_uz_2019/237934 Aug 2026, 10:40 UTC | @tashmeduni_pediatriya/25167 · this entry4 Aug 2026, 10:41 UTC | 1.00 | under a minute |
| @tashmeduni_pediatriya/25173 · this entry4 Aug 2026, 13:26 UTC | @tdsi_uz_2019/237994 Aug 2026, 13:26 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @tashmeduni | 5 (5/5 hand-verifiable sample passed) | 1.00 | under a minute | @tashmeduni (4–1) |
| @tdsi_uz_2019 | 5 (5/5 hand-verifiable sample passed) | 1.00 | under a minute | @tdsi_uz_2019 (3–2) |
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. 4 of the 7 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 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.
Across the whole group of 3, the earliest publisher we hold is @tashmeduni. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual, 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.
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 06:57 | 4,420 | +1 |
| 13 Sept 2026, 03:20 | 4,419 | -10 |
| 9 Sept 2026, 14:56 | 4,429 | -7 |
| 3 Sept 2026, 22:38 | 4,436 | +8 |
| 31 Aug 2026, 10:07 | 4,428 | +8 |
| 28 Aug 2026, 19:43 | 4,420 | -19 |
| 25 Aug 2026, 23:53 | 4,439 | +14 |
| 23 Aug 2026, 04:44 | 4,425 | +93 |
| 19 Aug 2026, 07:05 | 4,332 | +38 |
| 16 Aug 2026, 05:22 | 4,294 | -2 |
| 12 Aug 2026, 18:15 | 4,296 | -2 |
| 9 Aug 2026, 16:31 | 4,298 | -7 |
| 6 Aug 2026, 15:44 | 4,305 | +1 |
| 6 Aug 2026, 09:16 | 4,304 | first reading |
13 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 5 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 5 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.
Uch kun. Yuzlab g‘oyalar. Bitta katta maqsad. 5–7-avgust kunlari “Kelajak muhandislari” respublika ko‘rik-tanlovining final bosqichida “Eng yaxshi g‘oya”, “Eng yaxshi loyiha” va “Eng yaxshi ixtiro” yo‘nalishlarida ishtirokchilar o‘z ishlanmalarini taqdim etib, hakamlar hay’ati oldida o‘z loyihalarini himoya qildilar. Qizg‘in bahslar, hayajonli daqiqalar, yangi tanishuvlar va unutilmas taassurotlar — tanlovning uch …
🟦🟦🟦 🔵 Toshkent davlat tibbiyot universitetida klinik ordinaturaga hujjatlar qabuli davom etmoqda 🔻 Toshkent davlat tibbiyot universiteti Pediatriya kampusi Bolalar xirurgiyasi, urologiya va bolalar urologiyasi kafedrasi 2026/2027-o‘quv yili uchun klinik ordinaturaga hujjatlar qabuli boshlanganini ma’lum qiladi. ✈️ UROLOGIYA — 10 TA KVOTA 🔺 Urologiya bugungi kunda sog‘liqni saqlash tizimida dolzarb va malakali mu…
⚡️ 10-avgustgacha o‘qishni ko‘chirish bo‘yicha rad etilgan arizalarni tahrirlash mumkin. Davlat oliygohlariga o‘qishni ko‘chirish bo‘yicha belgilangan muddatlarda va tartibda ro'yxatdan o'tgan fuqarolarning arizalarini ko‘rib chiqish natijasiga ko‘ra ayrim arizalar kamchiligi bo‘lganligi sababli rad etilgan. Fuqarolarga qo'shimcha imkoniyat berish maqsadida ko‘chirish bo‘yicha ariza yuborgan, lekin arizasi rad etil…
https://millatminbari.uz/yangiliklar/toshkent-davlat-tibbiyot-universiteti-dunyo-universitetlari-top-1000-ligida
🟦🟦🟦 🔸 Hurmatli tibbiyot oliy ta'lim muassasalari bitiruvchilari va yosh mutaxassislar! 🔺 Toshkent davlat tibbiyot universiteti Psixiatriya, narkologiya va bolalar psixiatriyasi, tibbiy psixologiya kafedrasi 2026/2027-o‘quv yili uchun klinik ordinaturaga hujjatlar qabuli boshlanganini ma'lum qiladi hamda Sizni quyidagi mutaxassisliklar bo‘yicha tahsil olishga taklif etadi. 🔺 Tibbiy psixologiya — 5 ta kvota 🔺…
🟦🟦🟦 🔺 Toshkent davlat tibbiyot universitetida Germaniyaning Hochschule Kempten universiteti vakili bilan uchrashuv bo‘lib o‘tdi 🔸 Toshkent davlat tibbiyot universitetida Germaniya Federativ Respublikasining Hochschule Kempten (Kempten amaliy fanlar oliy maktabi) vakili, Xalqaro aloqalar koordinatori Susanne Wilke bilan rasmiy uchrashuv tashkil etildi. 🔺 Uchrashuv davomida tomonlar hamshiralik ta’limi va sog‘liqn…
🟦🟦🟦🟦🟦🟦 💠 “Dolzarb 90 kun” onlayn viktorinasida qatnashib, qimmatbaho sovg‘alar yutib oling! 🏛 Viktorinada tyutorlar, talabalar, o‘quvchilar, ustozlar, qisqasi O‘zbekiston fuqarolari barcha qatnashishi mumkin. G‘oliblar quyidagicha taqdirlanadi: 🏆GranPri (1 nafar) – Planshet 17 Max; 🥇1-o‘rin (2 nafar) – RGB Smart Google; 🥈2-o‘rin (3 nafar) – Smartwatch Ultra 3; 🥉3-o‘rin (4 nafar) – Quloqchin. ➡️ Batafsil ma’lumot …
#Tanqidiy_tahlil 🔴 🟦🟦🟦 ❗️Vazir: O‘z ishiga sovuqqonlik bilan yondashgan hech bir rahbar kechirilmaydi Xabar berganimizdek, bugun Sog‘liqni saqlash vaziri Eldor Adilov boshchiligida o‘tkazilgan yig‘ilishda joylarda tibbiyot sohasida amalga oshirilayotgan islohotlar natijadorligi, tizimda o‘z yechimini kutayotgan masalalar, yo‘l qo‘yilgan xato va kamchiliklar tanqidiy tahlil qilindi. Vazirlik va tizim tashkilotlari…
🇺🇿 “35 000 tashabbus” — Mustaqillikning 35 yilligiga bagʻishlangan mega loyihaga start berildi! Oʻzbekiston Respublikasi Mustaqilligining 35 yilligi munosabati bilan Yoshlarning innovatsion tashabbuslarini qoʻllab-quvvatlash ofisi tomonidan “35 000 tashabbus” umummilliy loyihasi yoʻlga qoʻyildi. Siz ham yurtimiz rivojiga oʻz hissangizni qoʻshmoqchimisiz? Unda jamiyat va davlat taraqqiyotiga xizmat qiladigan innova…
⏺#RASMIY_MUNOSABAT ➡️Telegram messenjerida “Шухрат Абдужалилович Боймурадов” nomi bilan ochilgan akkaunt orqali Tоshkent davlat tibbiyot universiteti faoliyati va xodimlariga aloqador, asossiz hamda rasmiy manbalarga tegishli bo‘lmagan xabarlar tarqatilayotgani aniqlandi. 🔹Mazkur akkaunt Tоshkent davlat tibbiyot universiteti yoki uning vakolatli xodimlariga tegishli emasligini rasman ma’lum qilamiz. Ushbu sahifa so…
🔴🟦🟦 SSV: Joylarda tibbiyot sohasidagi islohotlar natijadorligi tanqidiy tahlil qilinmoqda Toshkent davlat tibbiyot universitetida Sog‘liqni saqlash vaziri Eldor Adilov boshchiligida joylarda tibbiyot sohasida amalga oshirilayotgan islohotlar natijadorligi, mavjud muammolar va ularning yechimlari muhokamasiga bag‘ishlangan yig‘ilish o‘tkazilmoqda. Unda vazirlik mas’ullari, hududiy sog‘liqni saqlash boshqarmalari b…
💟💟💟 🔺 Toshkent davlat tibbiyot universiteti vakillari Stenford universitetida malaka oshirish va amaliy tajriba almashish dasturida ishtirok etdi 🔺2025-yilda AQShning dunyoning eng nufuzli oliy ta'lim muassasalaridan biri — Stenford universiteti bilan Toshkent davlat tibbiyot universiteti o‘rtasida yo‘lga qo‘yilgan hamkorlik doirasida universitetning Otorinolaringologiya kafedrasi dotsenti, mohir plastik jarroh Mur…
Showing the 12 most recent of 13 posts we hold for @tashmeduni_pediatriya. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
This channel appears in 14 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“Toshkent davlat tibbiyot universiteti - Pediatriya | rasmiy” (@tashmeduni_pediatriya), 4,420 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/tashmeduni_pediatriya.
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.