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 21 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
7 measurements spanning 37 days, net -23. 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 552–581 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Sept 2026, 13:36
555
-6
5 Sept 2026, 05:01
561
-2
29 Aug 2026, 11:18
563
-2
23 Aug 2026, 06:03
565
-11
16 Aug 2026, 08:37
576
-2
8 Aug 2026, 03:21
578
no change
7 Aug 2026, 14:32
578
first reading
Engagement
15 posts held, back to 15 June 2025 — 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 15 posts for this entry, the most recent from 7 January 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 17s
Average length
2m 17s
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
71 reactions across 13 posts, in 16 distinct kinds. The most used accounts for 25.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
18
25.4%
🔥
14
19.7%
👍
11
15.5%
⚡
5
7.04%
👎
4
5.63%
🤝
4
5.63%
🆒
2
2.82%
🐳
2
2.82%
👏
2
2.82%
🕊
2
2.82%
🙏
2
2.82%
custom 5330475535879384706
1
1.41%
custom 5370796358141753572
1
1.41%
👨💻
1
1.41%
🤩
1
1.41%
🥰
1
1.41%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 13 of the 15 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 71 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 15 June 2025 to 7 January 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.
🎓 2-MAVSUM: ONLINE ILMIY TRENING DASTURI (1 OY)
"Ilmiy tadqiqot metodologiyasi: ma'lumotlar tahlili va IMRaD xalqaro maqola formati tuzilmasi"
🧭 Ishtirokchilar: 1-2 bosqich PhD doktorantlar va mustaqil izlanuvchilar.
⛔️ PhD va DSc himoya qilganlar uchun emas
📝 Bu kursda maqola yozilmaydi, faqat maqola yozish asoslari o'rgatiladi
📊 Ushbu kurs ijtimoiy fanlar doirasida miqdoriy (quantitative) tadqiqot olib boruvchi…
🎓 ONLINE ILMIY TRENING DASTURI (2+ OY)
Survey-Based Research: IMRaD formatida xalqaro ilmiy maqola yozish
🧭 Ishtirokchilar:
PhD yuqori bosqich izlanuvchilar (2–3 kurs) va DSc izlanuvchilar (1-kurs)
⛔️ DSc himoya qilganlar uchun emas
📝 Kurs davomida survey-based (questionnaire) tadqiqot asosida maqola yoziladi va jurnalga topshirishga tayyorlanadi
📊 Ushbu kurs iqtisodiyot sohasida miqdoriy (quantitative) tadqiqot…
🎓 Kelasi haftada katta yangilik sizni kutmoqda!
Biz siz uchun bepul, lekin yopiq formatdagi webinar tayyorlayapmiz!
Mavzu esa ko‘pchilik tadqiqotchilarni qiziqtiradi:
🧠 “Scopus maqolani tez va to‘g‘ri tayyorlash”
Bu vebinar orqali:
📌 Eng ko’p uchraydigan 3 ta xato va ularni to’g’rilash ni o’rganib olasiz
💬 Bu faqat yopiq a’zolar uchun o‘tkaziladigan maxsus sessiya.
Shuning uchun, agar hali yopiq kanalga qo‘shilma…
Hurmatli obunachilar!
2024–2025-yillar davomida loyihamiz quyidagi natijalarga erishdi:
500 dan ortiq ilmiy tadqiqotchilar bizning darslarimizni o‘rgandi
40 dan ortiq maqola milliy ilmiy jurnallarda chop etildi
12 ta maqola xalqaro jurnallarda chop etildi:
• Q1 – 2 ta
• Q3 – 5 ta
• Q4 – 5 ta
Bu bizning bir yillik faoliyatimizning amaliy natijalari.
Loyiha yakunlandi. Kelgusida imkon bo‘lsa, yana shunday tashabbusla…
4️⃣4️⃣4️⃣4️⃣4️⃣
VACANCY!
Tashkent State University of Economics is inviting applications for the position of Lecturer/Researcher in Econometrics.
Requirements:
🟣 Proficiency in modern econometric methods and data analysis.
🟣 Teaching experience at Bachelor’s/Master’s level is an advantage.
🟣 Strong command of statistical software (Stata, R, Python, EViews, etc.).
🟣 Education: Master’s or PhD in Economics, Statisti…
O‘qituvchilar uchun imkoniyat!
"Sun’iy intellekt" kursi - Samsung Innovation Campus loyihasi doirasida!
Hozirda ushbu yo‘nalishda 3 nafar qiziqqan mutaxassis izlayapmiz.
🔍 Tanlov talablari:
• Yuqori darajada oliy matematika bilimiga ega bo‘lish
• Dasturlash bo‘yicha bazaviy bilim (Python bo‘lsa afzal)
• Yoshlar bilan ishlash yoki o‘qitish tajribasi bo‘lsa — ustunlik
💡 Agar siz ushbu talablarga mos bo‘lsangiz va su…
Magistratura va Doktorantura — bu shunchaki ilmiy sohada bir diplom olish emas. Bu — ilmiy izlanishlar, o‘z yo‘nalishingizda chuqurlashish va dunyo miqyosida o‘z so'zingizga ega bo'lish, o'z o‘rningizni topish sari qadamdir ✨
Lekin bu yo‘lni qanday boshlash kerak❓
Eng muhim 5⃣qadamingiz shu postda 👇
📌 Kelajakdagi sohangiz, karyerangizni yo'nalishini to'g'ri belgilab olish
📌 Mukammal SoP va Ilmiy Tadqiqot rejasi yoz…
📚 Bugungi ilmiy olamdagi raqamlar hayratga soladi!
🔍 2024-yilgi ma’lumotlarga ko‘ra, quyidagi yirik ilmiy bazalarda nechta material mavjud:
🔝 Scopus – 90 million+
🔝 Web of Science – 87 million+
🔝 Springer Link – 13 million+
🔝 PubMed – 37 million+
🔝 IEEE Xplore – 6 million+
🤯 Shuncha ilmiy maqola va kitoblar ichida to‘g‘ri, ishonchli va dolzarb manbani topish – bu oson ish emas.
🔝 Ammo aynan to‘g‘ri maqolani tanlab…
Showing the 12 most recent of 15 posts we hold for @bolajakakademik. 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
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 — 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.
Handles this channel named that no longer answer
Dead references
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@bolajakakademik named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@fayziyeva_ilmiy_kurslar named in 1 post, 9 August 2026 – 9 August 2026
@fayziyeva_ilmiy_kurslar1 named in 1 post, 9 August 2026 – 9 August 2026
@uni_grad_school named in 1 post, 9 August 2026 – 9 August 2026
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 13 September 2026 — this
entry's latest reading, not the date you are reading this.
“Bo'lajak Akademik” (@bolajakakademik), 555 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/bolajakakademik.
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.
