Education — 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 22 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
8 measurements spanning 40 days, net +6. 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 369–379 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 11:17
376
+2
8 Sept 2026, 09:40
374
+3
30 Aug 2026, 11:16
371
-4
22 Aug 2026, 23:38
375
-3
16 Aug 2026, 04:24
378
+7
8 Aug 2026, 16:02
371
+1
8 Aug 2026, 06:20
370
no change
8 Aug 2026, 03:16
370
first reading
Engagement
10 posts held, back to 1 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 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 10 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
8s
Average length
8s
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
215 reactions across 10 posts, in 14 distinct kinds. The most used accounts for 33.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
72
33.5%
😁
40
18.6%
❤
28
13.0%
❤🔥
19
8.84%
⚡
15
6.98%
💯
13
6.05%
👍
8
3.72%
🔥
8
3.72%
🫡
4
1.86%
👌
3
1.40%
👏
2
0.93%
🆒
1
0.465%
🏆
1
0.465%
🤯
1
0.465%
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 10 of the 10 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 215 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 1 August 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.
#natijalar2026
Шифокорлик — инсон ҳаётини сақлаб қолиш, жамиятга хизмат қилиш ва юксак масъулиятни ўз зиммасига олишдир. Бу шарафли касб сари илк қадам эса сифатли таълим ва кучли устозлардан бошланади.
🎓 NIS PRO KOSONSOY
"XUSUSIY MAKTAB"
2026–2027 ўқув йили учун янги мавсум қабули бошланди!
🔬 КИМЁ ВА БИОЛОГИЯ ФАНЛАРИДАН ЧУҚУРЛАШТИРИЛГАН ДАРСЛАР ВА ҚЎШИМЧА КУРСЛАР!
💥 Бизда:
✅ Кучли устозлар
✅ Тизимли ўқитиш
…
❗️Ertaga yo’nalish tanlashning oxirgi kuni!
#abituriyent
Yo‘nalish tanlash uchun 1 kun vaqt qoldi. 8-avgust soat 23:59 ga qadar abituriyentlar o‘zlari tanlagan fanlar majmuasiga mos yo‘nalishni tanlashlari mumkin.
Ushbu muddat davomida yo‘nalish tanlamagan abituriyentlar tanlovda ishtirok etmaydi, ya’ni ular o‘qishga kira olmaydi. Necha ball olgan bo‘lishidan qat’i nazar.
To’g’ri, o’tgan yili yo’nalish tanlamaganl…
#natijalar2026
Шифокорлик — инсон ҳаётини сақлаб қолиш, жамиятга хизмат қилиш ва юксак масъулиятни ўз зиммасига олишдир. Бу шарафли касб сари илк қадам эса сифатли таълим ва кучли устозлардан бошланади.
🎓 NIS PRO KOSONSOY
2026–2027 ўқув йили учун янги мавсум қабули бошланди!
🔬 КИМЁ ВА БИОЛОГИЯ ФАНЛАРИДАН ЧУҚУРЛАШТИРИЛГАН ДАРСЛАР ВА ҚЎШИМЧА КУРСЛАР!
💥 Бизда:
✅ Кучли устозлар
✅ Тизимли ўқитиш
✅ Ҳар ҳафта синовлар
…
Assalomu alaykum
Markazdagi BARCHA KIMYO darslar tugatilgan. Ta'til davomida matematika bilan astoydil shug'ullaning.
Barchani maktabdagi imtihonda kutamiz.
📣 Kimyo va Biologiya fani o‘qituvchilarini ishga taklif qilamiz!
Siz o‘z fanini sevuvchi, mas'uliyatli va zamonaviy metodlar asosida dars bera oladigan ustozmisiz? Unda sizni NEYRON jamoasida kutamiz!
🔍 Asosiy talablar:
•Kimyo yoki biologiya fanidan chuqur bilimga ega bo‘lish;
•Kamida 2 yillik pedagogik tajriba;
•O‘quvchilar bilan samarali ishlay olish va ularning natijalari uchun mas'uliyatni his qilish;
•Interakt…
👍4⚡1
Showing the 10 most recent of 10 posts we hold for @kimyo_Ergashev. 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
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.
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.
“🧪KIMYO Kosonsoy | Ergashev Botirjon” (@kimyo_Ergashev), 376 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/kimyo_Ergashev.
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.
