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Channel

Tibbit | Tibbiy maqolalar dayjesti

@tibbituzb

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

3,947subscribers

+687 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003939007922
TypeChannel
Username@tibbituzb
CreatedBetween 1 April 2026 and 23 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/tibbituzb

Topic

Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 13 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

Growth

3,2604,1593,709.57 August 2026 — 3,260 subscribers7 August 2026 — 3,260 subscribers8 August 2026 — 3,351 subscribers12 August 2026 — 3,367 subscribers15 August 2026 — 3,339 subscribers17 August 2026 — 3,540 subscribers21 August 2026 — 3,892 subscribers25 August 2026 — 4,057 subscribers27 August 2026 — 4,090 subscribers30 August 2026 — 4,117 subscribers2 September 2026 — 4,159 subscribers6 September 2026 — 4,134 subscribers11 September 2026 — 4,057 subscribers15 September 2026 — 3,994 subscribers19 September 2026 — 3,947 subscribers3,9477 August 202619 September 2026
15 measurements spanning 43 days, net +687. 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 3,125–4,294 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 13:383,947-47
15 Sept 2026, 08:003,994-63
11 Sept 2026, 14:574,057-77
6 Sept 2026, 15:384,134-25
2 Sept 2026, 07:234,159+42
30 Aug 2026, 10:564,117+27
27 Aug 2026, 20:464,090+33
25 Aug 2026, 00:094,057+165
21 Aug 2026, 06:123,892+352
17 Aug 2026, 21:143,540+201
15 Aug 2026, 01:293,339-28
12 Aug 2026, 01:123,367+16
8 Aug 2026, 16:513,351+91
7 Aug 2026, 18:473,260no change
7 Aug 2026, 18:363,260first reading

Engagement

20 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page 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 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
12s
Average length
12s

Measured directly from 1 video 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

262 reactions across 19 posts, in 11 distinct kinds. The most used accounts for 40.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10740.8%
👍4517.2%
👏4517.2%
🔥2710.3%
😱145.34%
🥰72.67%
👌62.29%
💯62.29%
😍31.15%
🎉10.382%
😢10.382%

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 19 of the 20 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 262 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 23 July 2026 to 7 August 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

7 Aug 2026, 10:20 UTC725 views11 reactionsread 7 August 2026
Photo

Tish implantologiyasi so’nggi o’n yillikda katta yo’l bosdi. 2026 yil esa bir necha yo’nalishda sezilarli o’zgarish keltirdi. Ularni ikki guruhga bo’lish kerak: bugun mavjudlari va hali kelajakdagilari. Kompyuter boshqaruvidagi jarrohlik. KLKT (konus-nurli KT) tasviri asosida bemorning jag’i uch o’lchamda modellashtiriladi. So’ng maxsus jarrohlik yo’naltirgichi 3D-printerda chop etiladi — u implantni aniq burchak va

7👏2👍1😱1

6 Aug 2026, 04:32 UTC≈1,390 views18 reactionsread 7 August 2026
Photo

Yo’qolgan tog’ayni qayta o’stirish mumkin bo’ldi. Artrit orqaga qaytdi. Bo’g’im tog’ayi — bir marta yo’qolsa, tiklanmaydi. Tibbiyotda bu deyarli aksioma edi. Shuning uchun artroz davolash faqat og’riqni yengillashtirishga qaratilgan. Stanford olimlari buni o’zgartirdi 👇 Ular tanadagi ma’lum fermentni (15-PGDH) bloklab, tog’ayning qayta o’sishiga erishdi. Tadqiqot mualliflarining o’zlari buni “hozirgacha biror dor

🔥7👏4😱42👍1

5 Aug 2026, 16:11 UTC≈9,880 views17 reactionsread 7 August 2026

Haftada atigi 75 daqiqa. Qorin semizligiga qarshi bu yetarli ekan. “Sport uchun vaqtim yo‘q” — eng keng tarqalgan sabab. Va u odatda haqiqat. Lekin 315 odam ustidagi 4 oylik sinov umid beruvchi natija berdi 👇 Qorin atrofida ortiqcha yog‘i bor kattalar haftada 75 daqiqatezkor interval yurish qildi. Bu — kuniga taxminan 10-11 daqiqa. Natijalar esa sezilarli bo‘ldi. Ya’ni foyda olish uchun sport zali ham, soatlab mashq

👏85👍3🎉1

4 Aug 2026, 07:32 UTC≈2,300 views14 reactionsread 7 August 2026

Dunyo antibiotiklarni haddan tashqari ko'p ishlatyapti. Lancet 186 mamlakatni tahlil qildi. Antibiotiklarga chidamlilik — zamonaviy tibbiyotning eng katta tahdidlaridan biri. Sababi oddiy: biz ularni juda ko'p va noto'g'ri ishlatamiz. 2026 yildagi yangi Lancet tahlili buni raqamlarda ko'rsatdi 👇 Ayniqsa "Watch" deb ataladigan kuchli antibiotiklar — eng oxirgi chora sifatida saqlanishi kerak bo'lgan dorilar — juda k

8👍4👏1😱1

4 Aug 2026, 05:37 UTC≈2,150 views7 reactionsread 7 August 2026
Photo

Eslatma uchun saqlab qo’ying va yaqiningiz bilan ulashing💙 @tibbituz

3🔥3👍1

4 Aug 2026, 05:21 UTC≈2,090 views11 reactionsread 7 August 2026

“Ko‘proq oqsil — yaxshiroq” degan ishonch buzilmoqda. 350 tadqiqot tahlili. Protein kokteyllar, oqsilli batonchalar, “har ovqatda oqsil” — bu bugungi eng katta ovqatlanish trendi. Lekin 2026 yilda chop etilgan katta sharh (350 dan ortiq tadqiqot) boshqasini ko‘rsatdi 👇 Kamroq oqsil iste’mol qilish metabolizmni yaxshilaydi, yallig‘lanishni kamaytiradi va hujayra shikastini pasaytiradi. Bundan tashqari, u qarish bi

👍72👏2

3 Aug 2026, 06:48 UTC≈2,340 views23 reactionsread 7 August 2026

Posted without readable text

🔥10👍4👏43😱2

1 Aug 2026, 03:25 UTC≈2,670 views22 reactionsread 7 August 2026

☕ Qahvaning asosiy siri kofeinda emas ekan Yillar davomida bilardik: qahva ichuvchilar uzoqroq yashaydi. Lekin nega — aniq javob yo’q edi. 2026 yildagi yangi tadqiqot topdi 👇 Qahvadagi moddalar hujayralardagi NR4A1 degan “himoya tugmasi”ni yoqadi. Bu retseptor stress va yallig’lanishdan himoya qiladi, va uning faolligi yosh o’tgan sari pasayadi. Eng kutilmagani: bu ishni kofein emas, o’simlik birikmalari (xloroge

13👍8😢1

30 Jul 2026, 12:45 UTC≈2,660 views14 reactionsread 7 August 2026

Posted without readable text

👌6🥰4👏31

30 Jul 2026, 04:32 UTC≈2,210 views11 reactionsread 7 August 2026
Voice message

Hech qanday faol moddasi bo’lmagan oddiy shakar kukuni solingan kapsula aslida miyada haqiqiy tabiiy og’riq qoldiruvchi — endorfinlarni ajratib chiqarishini bilarmidingiz? Demak, yengillik bu shunchaki xayolot emas, balki ishonch bilan ishga tushadigan real biologik jarayondir. Inson tanasining bu hayratlanarli siri va davolashdagi kontekstning kuchi haqida to'liq tasavvurga ega bo'lish uchun audio dayjestni albatta

8👍3

29 Jul 2026, 16:54 UTC≈2,260 views17 reactionsread 7 August 2026
Photo

Miyaning o’zida Alzheimerga qarshi “himoyachi” bor ekan. Uning nomi — SORLA. Alzheimer kasalligida miyada zararli oqsillar (tau va amiloid) to’planadi va nerv hujayralarini o’ldiradi. Lekin yangi tadqiqot umid beruvchi narsani ko’rsatdi 👇 SORLA degan oqsil bu zararli tau “to’plamlariga” qarshi kuchli himoya bo’lib xizmat qiladi. Ko’proq SORLA’ga ega sichqonlarda tau kamroq to’plandi, miya kamroq shikastlandi. Bu

9👏7👍1

Showing the 12 most recent of 20 posts we hold for @tibbituzb. 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 2 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Tibbit | Tibbiy maqolalar dayjesti” (@tibbituzb), 3,947 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/tibbituzb.

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.