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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
33 measurements spanning 43 days, net +1,693. 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 15,861–19,464 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 16:40
18,068
-76
16 Sept 2026, 09:01
18,144
-102
14 Sept 2026, 17:19
18,246
-43
13 Sept 2026, 04:20
18,289
-60
11 Sept 2026, 08:17
18,349
-113
8 Sept 2026, 11:59
18,462
-162
5 Sept 2026, 03:38
18,624
-86
3 Sept 2026, 06:45
18,710
-193
2 Sept 2026, 00:09
18,903
-56
31 Aug 2026, 23:45
18,959
-54
31 Aug 2026, 01:02
19,013
-18
29 Aug 2026, 23:54
19,031
-17
28 Aug 2026, 22:14
19,048
+43
27 Aug 2026, 22:15
19,005
+115
26 Aug 2026, 20:12
18,890
+190
25 Aug 2026, 17:45
18,700
+107
24 Aug 2026, 20:25
18,593
+51
23 Aug 2026, 03:13
18,542
-199
21 Aug 2026, 18:46
18,741
+25
20 Aug 2026, 18:18
18,716
first reading
Engagement
19 posts held, back to 27 June 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 56 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.6%
avg views ÷ 18,068 subscribers
Avg views / post
1,920
2 posts measured
Reaction rate
1.02%
reactions ÷ views · ER floor
Posts in window
2
of 19 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
19 (27 June 2026 – 2 September 2026)
Views total
3,840
Reactions total
39
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:50 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
36m 27s
Average length
7m 17s
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.
Reaction mix
822 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 35.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
292
35.5%
👍
285
34.7%
😁
192
23.4%
👏
36
4.38%
😱
17
2.07%
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 19 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 822 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 27 June 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.
Barcha KIMYO va BIOLOGIYA ustozlari diqqatiga!!!
• Attestatsiyaga BEPUL tayyorlanish imkoniyati
• Milliy sertifikatga BEPUL tayyorlanish imkoniyati
• Oyiga 2-3 mln qo'shimcha daromad qilish imkoniyati
• Repetitorlik faoliyatingiz uchun barcha kerakli materiallar
Barchasini 5-sentabr 20:00 da bo'lib o'tadigan vebinarda gaplashamiz.
Quyidagi link orqali kanalga qo'shilib oling.
➡️https://t.me/+9wSFR1e4lTM0YWEy
➡️ht…
🙏 Premium foydalanuvchilarga kichik iltimos!
📢 Kanalimizga ovoz bering! Ovozlaringiz ko‘payib, kanalimiz rivojlansa, foydali BEPUL jonli darslar davomiyligi va koʻproq odamlarga yetib borishi oson boʻladi.
👇 Ovoz berish uchun:
KANALGA OVOZ BERISH
😄 Xavotir olmang, bu firibgarlik emas!
🔥 KIMYO VA BIOLOGIYA USTOZLARI UCHUN YANGILIK!
Biz kimyo va biologiya fanlarini rivojlantirish maqsadida ustozlar uchun ko‘plab foydali material va imkoniyatlarni BEPUL taqdim etmoqchimiz!
📚 Siz quyidagilarga ega bo‘lasiz:
1️⃣ Premium kimyo va biologiya kitoblarimizning ma’ruza va amaliy darslari – odatda oyiga 300–500 ming so‘m to‘lov qilinadigan darslar.
2️⃣ Maxsus tarqatmalar, prezentatsiyalar, testlar va sinf…
Hafta davomida 6-kun mana shunaqa diagnostik testlar ishlab bormoqdamiz.
Sizga ham ushbu ko'rinishdagi testlar va ularning tahlillari kerak bo'lsa albatta bizga qo'shiling.
Kursga qo'shilish adminga yozing.
@qabul_24
Attestatsiya kurslarimizda haftada 6 kun 15 talik maxsus turk tilidan tarjima qilingan savollar ishlaymiz va ularni video tahlil qilamiz.
Bu rasmda aynan ustozlarimizning natijalari berilgan.
Hafta oxirida maxsus 50 ta savoldan iborat demo test bo'ladi.
Attestatsiya muhitini his qilasiz.
Kursga qo'shilish uchun @qabul_24 ga murojaat qiling.
Bir martalik 250 minglik to'lov biln imtihongacha tayyorlanasiz
1-Olimpiadamizni ham e’lonini platformaga joylashtirdik.
Bosh sovrin avtomobil (kamida gentra yoki cobalt)
Nasib qilsa e’lonlarni ham boshlaymiz.
7-11-sinflar, litsey 1-2-kurslar ishtirok etsa boʻladi.
Roʻyxatdan oʻtish tartibi:
1) @Kelajakmediklari_bot ga oʻquvchi sifatida kirasiz.
2) Klub ➡️ Olimpiadalar ➡️ World Science Olympiad by KM ➡️Roʻyxatdan oʻtish.
Birinchilardan roʻyxatdan oʻting:
➡️ @kelajakmediklari…
⚠️ Kuzgi attestatsiya imtihoniga tayyorlanayotgan ustozlar diqqatiga!
Nazariyani yaxshi bilasiz, masalalarni ham bemalol ishlaysiz. Ammo grafikli va diagrammali yangi formatdagi testlar sizni qiynayaptimi? Aynan shu turdagi savollar sababli imtihonda yuqori natija qila olmayapsizmi?
Unda siz uchun foydali taklifimiz bor!
📊 Har yakshanba kuni soat 21:00 da Qurbonali Erkayev ustoz tomonidan turk tilidan tarjima qi…
⚡️Tibbiyot oliygohida grant olishning tasdiqlangan tartibi
1) Oldingi imtihonlar natijasiga ko'ra stipendiyaga tavsiya etilgan bo'lish
2) Agar imtihonlarda ishtirok etmagan bo'lsangiz — oxirgi imkoniyatdan foydalanib, 31-iyulda o'tadigan yakuniy imtihonda uni qo'lga kiritish
3) 980 ming so'm miqdoridagi bron summasini to'lash
4) Grantni olish uchun 7-avgustdagi imtihonga kelish
✅ Tibbiyot universitetida stipendiya …
🎓 Rasman! Oliy o’quv yurtiga
grant olish tartibi ma'lum bo'ldi!
Grantga kirish uchun, avvalo stipendiya asosida birinchi bosqichdan o'tish kerak — bu majburiy bosqich.
Ikkinchi bosqich — 7 avgustda quyidagi yo'nalishlar bo'yicha alohida imtihon o'tkaziladi:
— Davolash ishi, Stomatologiya
— Iqtisodiyot, Bank ishi, Buxgalteriya, Marketing
— Axborot texnologiyalari
— Ingliz filologiyasi, Rus filologiyasi, Ona tili
…
⚡️ Profi University'da navbatdagi kirish imtihoni 11-iyul kuni o'tkaziladi
Birinchilardan bo’lib imtihon topshirib, stipendiya va Grantga ega boʻlishni xohlasangiz, hoziroq roʻyxatdan oʻting!
👨⚕️ Davolash ishi
🦷 Stomatologiya
Shoshiling, joylar soni juda ham kam qoldi
👉 Ro'yhatdan o'tish: https://profiuniversity.uz?ref=ubio
🤍 Bugun yo‘limiz Xorazmga tushdi.
Aytgancha, kanalimizdagi eng katta auditoriyamiz ham aynan xorazmliklar ekan. Shuning uchun bu safardan sizlar uchun ham bir nechta chiroyli lahzalarni olib keldik. 😊
Xorazm — tarix nafasi sezilib turadigan ko‘chalar, mehmondo‘st insonlar va o‘ziga xos muhit uyg‘unlashgan maskan.
Showing the 12 most recent of 19 posts we hold for @Qurbonali_Erkayev. 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 1 registered channel — 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.
Milliy sertifikat | BIOLOGIYA @milliysertifikatbiologiya · 36,321 Telegram ranks this channel #23 of 94 here — alongside 93 others — read 4 September 2026
Online Olimpiada @online_olimpiada · 62,306 Telegram ranks this channel #33 of 91 here — alongside 90 others — read 21 August 2026
ICC | KIMYO @icc_kimyo · 29,288 Telegram ranks this channel #61 of 89 here — alongside 88 others — read 8 September 2026
This channel appears in 3 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“BIOLOGIYA | Qurbonali Erkayev” (@Qurbonali_Erkayev), 18,068 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Qurbonali_Erkayev.
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.