Local community โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channelโs own recent posts on 14 October 2026 and assigned it the closest of 31 fixed categories, at 80% confidence. This is a modelโs 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 โ 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.
Growth
8 measurements spanning 30 days, net -9. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between โ snapshots are recorded only when a count changes, so gaps mean โno change observedโ, never โinterpolatedโ. The vertical axis spans 1,147โ1,163 and does not start at zero.
Measurement log โ every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Oct 2026, 08:35
1,152
+3
19 Oct 2026, 23:31
1,149
-5
17 Oct 2026, 04:17
1,154
+5
14 Oct 2026, 05:39
1,149
-2
10 Oct 2026, 06:38
1,151
-3
4 Oct 2026, 04:59
1,154
-7
26 Sept 2026, 08:22
1,161
no change
26 Sept 2026, 07:47
1,161
first reading
Engagement
6 posts held, back to 22 September 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 1 page of Telegramโs 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 โ we hold 6 posts for this entry, the most recent from 25 September 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 44s
Average length
1m 44s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel โ not this channelโs 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 Telegramโs own rounded chrome, so it carries no โ mark.
Reaction mix
25 reactions across 5 posts, in 5 distinct kinds. The most used accounts for 52.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
โค
13
52.0%
๐
7
28.0%
๐ฅ
3
12.0%
๐
1
4.00%
๐จโ๐ป
1
4.00%
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 5 of the 6 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 25 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 6 most recent posts we hold, published 22 September 2026 to 25 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.
Magistrlar bilan muhim uchrashuv
Termiz davlat universitetida Akademik faoliyat boโyicha prorektor Oโ. Axmedov hamda Magistratura boโlimi boshligโi K. Yadgarov tomonidan 1โ2-bosqich magistratura talabalari bilan uchrashuv oโtkazildi.
Unda Oโzbekiston Respublikasi Vazirlar Mahkamasining 2026-yil 17-sentabrdagi โOโzbekiston Respublikasi oliy taโlim tizimida magistratura bosqichida kadrlar tayyorlashni takomillashtiriโฆ
Tabiiy fanlar fakulteti talabalari โMunavvar kunโ dam olish dasturida mehmon boโlishdi. โจ
โBugun Surxondaryo teleradiokanalining โMunavvar kunโ dam olish dasturida Tabiiy fanlar fakultetining ikki nafar faol talabasi Xolboyeva Marjona va Ochilova Gulasal mehmon sifatida ishtirok etishdi.
โSamimiy va koโtarinki ruhda oโtgan koโrsatuv davomida talabalarimiz oโzlarining ilmiy izlanishlari, oliygohimizda yoshlar uchunโฆ
๐ฃ EโLON
Bugun TERDU Tabiiy fanlar fakulteti 8- TTJda istiqomat qiluvchi talabalar oโrtasida sogโlom turmush tarzini targโib qilish, jamoaviylik va sportga boโlgan qiziqishni oshirish maqsadida voleybol musobaqasi tashkil etiladi ๐
โฐ Vaqti: 19.00 da 24.09.2026
๐ Manzil: Akademik litsey sport zali
Barcha yotoqxona talabalarini ushbu musobaqada faol ishtirok etishga, sport ruhini birgalikda his qilishga va jamoalargaโฆ
โZakovatโ intellektual oโyini oโtkazildi
2026-yil 23-sentabr kuni Termiz davlat universiteti Tabiiy fanlar fakulteti talabalari oโrtasida 8-sonli talabalar turar joyida โZakovatโ intellektual oโyini tashkil etildi.
Mazkur tadbir talabalar turar joyi masโullari hamda fakultet tyutorlari hamkorligida oโtkazilib, talabalarning boโsh vaqtlarini mazmunli tashkil etish, ularning intellektual salohiyatini oshirish, mantiqโฆ
๐ฃISHGA TAKLIF!
๐REGISTON OโQUV MARKAZI
๐Termiz shahar filiali
Biologiya fanidan oโqituvchi (repetitor) ishga taklif qilinadi!
๐Darslar:
๐น Kunning 1-qismi
๐นKunning 2-qismi
๐จโ๐ซBiologiya fanini yaxshi biladigan, oโquvchilar bilan ishlash tajribasiga ega va masโuliyatli ustozlarni hamkorlikka taklif qilamiz.
๐Bogโlanish uchun:
95 842 27 00
๐Manzil: Termiz shahar, Registon oโquv markazi filiali
๐ฑTelegram | ๐ฑInstagram
โBiz giyohvandlikka qarshimiz!โ
โ๏ธ Termiz davlat universiteti Tabiiy fanlar fakultetida talaba-yoshlar oโrtasida giyohvandlikning oldini olish, uning salbiy oqibatlarini tushuntirish hamda sogโlom turmush tarzini targโib qilish maqsadida โBiz giyohvandlikka qarshimiz!โ mavzusida profilaktik suhbat tashkil etildi.
๐ท Suhbatda universitet profilaktika inspektorlari, fakultet tyutorlari va talabalar ishtirok etdi.
Tadbiโฆ
โค1
Showing the 6 most recent of 6 posts we hold for @TerDU_Tabiiy_fanlar. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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
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.
Mentions
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 โ 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 โ the โNamed by N registered channelsโ 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 Telegramโs 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 โ 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 elseโs query is independent of having been queried itself.
TerDU rasmiy kanali @terdu340 ยท 20,316 Telegram ranks this channel #8 of 81 here โ alongside 80 others โ read 26 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegramโs list for THAT channel, not this one โ 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 26 October 2026 โ this
entry's latest reading, not the date you are reading this.
โ๐๐๐๐๐๐ฎ ๐๐๐ฃ๐ก๐๐ง ๐๐๐ ๐ช๐ก๐ฉ๐๐ฉ๐ (๐ง๐๐จ๐ข๐๐ฎ ๐ ๐๐ฃ๐๐ก๐)โ (@TerDU_Tabiiy_fanlar), 1,152 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/TerDU_Tabiiy_fanlar.
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 ยท 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.
