Oliy ta’lim tizimi kadrlarini qayta tayyorlash va malakasini oshirish instituti
📞 71-202-01-15
📧 info@bimm.uz
🌐 www.bimm.uz
📲 https://www.instagram.com/bimmuz/
📲 https://www.facebook.com/bimmuz
📲 https://www.youtube.com/c/bimmuz_official
Created
20 June 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
3 measurements spanning 3 days, net -16. 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 6,890–6,910 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 03:21
6,892
-13
8 Aug 2026, 08:45
6,905
-3
7 Aug 2026, 18:02
6,908
first reading
Engagement
8 posts held, back to 22 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
52.8%
avg views ÷ 6,892 subscribers
Avg views / post
3,640
5 posts measured
Reaction rate
0.484%
reactions ÷ views · ER floor
Posts in window
5
of 8 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 31 July 2026
Posts held
8 (22 June 2026 – 31 July 2026)
Views total
18,180
Reactions total
88
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:38 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
Photos
≈2,590
Videos
≈149
Links
≈1,090
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
5m 27s
Average length
2m 44s
Measured directly from 2 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
139 reactions across 8 posts, in 7 distinct kinds. The most used accounts for 60.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
84
60.4%
❤
33
23.7%
🔥
14
10.1%
👏
3
2.16%
🏆
2
1.44%
🥰
2
1.44%
👌
1
0.719%
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 8 of the 8 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 139reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 22 June 2026 to 31 July 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.
#Malaka_oshirish #AQSh #SunʼiyIntellekt
“Ta’limda sun’iy intellekt: nazariya, liderlik va amaliyot” dasturi: OTT mutaxassislari AQSHda xalqaro malaka oshirmoqda
Oliy ta’lim tizimi kadrlarini qayta tayyorlash va malakasini oshirish instituti hamkorligida AQSHning Rowan University universitetida tashkil etilgan “Ta’limda sun’iy intellekt: nazariya, liderlik va amaliyot” xalqaro malaka oshirish dasturi qizg‘in davom e…
Forwarded from @qaytatayyorlashvamalakaoshirishPhoto
🇵🇱🇺🇿 POLSHA - O‘ZBEKISTON
XALQARO QO‘SHMA MALAKA OSHIRISH KURSI
Polshaning QS World University Rankings 2026 reytingida TOP-900 talikdan o‘rin olgan Gdansk universiteti hamda O‘zbekiston davlat jahon tillari universiteti huzuridagi pedagog kadrlarni qayta tayyorlash va malakasini oshirish tarmoq markazi bilan hamkorligida professor-o‘qituvchilar uchun xalqaro qo‘shma malaka oshirish kursiga qabul e’lon qiladi.
📅 Ku…
Hurmatli Prezident!
Sizning rahnamoligingizda mamlakatimizda inson qadrini ulug‘lash, ilm-fan va ta’lim sohasini izchil rivojlantirish, zamonaviy bilim va yuksak ma’naviyatga ega avlodni tarbiyalash borasida amalga oshirilayotgan keng ko‘lamli islohotlar Yangi O‘zbekiston taraqqiyotining mustahkam poydevoriga aylanmoqda.
Pedagog kadrlarning kasbiy mahoratini yuksaltirish, ularning malakasini muntazam oshirish, inno…
#FarDU_MM
Joriy yilning 20-iyul kuni Samarqandda Sharof Rashidov nomidagi Samarqand davlat universiteti huzuridagi pedagog kadrlarni qayta tayyorlash va ularning malakasini oshirish mintaqaviy markazi hamda Farg‘ona davlat universiteti huzuridagi pedagog kadrlarni qayta tayyorlash va ularning malakasini oshirish mintaqaviy markazi o‘rtasida hamkorlik memorandumi imzolandi.
Hamkorlik doirasida:
✅ malaka oshirish kurs…
#Хавфсиз_ва_соғлом_юрт
📞 Фирибгарлар сизни алдашига йўл қўйманг!
Фирибгарлар кўпинча ўзини банк ёки давлат идораси ходими сифатида таништириб, карта маълумотлари, СМС-кодлар ёки пул ўтказишни талаб қилади.
⚠️ Унутманг:
🔹 Ҳеч кимга банк картангиз маълумотлари ва тасдиқлаш кодларини берманг.
🔹 "Хавфсиз ҳисоб"га пул ўтказиш ҳақидаги гапларга ишонманг.
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📢 Қўнғироқни тугатинг. Тек…
#MalakaOshirish
Pedagog kadrlar malakasini oshirish bo‘yicha ilmiy anjuman
Farg‘ona davlat universiteti huzuridagi pedagog kadrlarni qayta tayyorlash va ularning malakasini oshirish mintaqaviy markazi tomonidan ilmiy-amaliy konferensiya tashkil etildi.
Shuningdek, anjumanda ta’lim tizimidagi global transformatsiya jarayonlari sharoitida pedagog kadrlarning kasbiy salohiyatini rivojlantirish, malaka oshirish tizimi…
Respublika ilmiy-amaliy konferensiyasi
“Ta’lim tizimining transformatsiya jarayonlarida pedagog kadrlar kasbiy salohiyatini malaka oshirish mexanizmi asosida rivojlantirish: muammolar va ularni bartaraf etish yo‘llari”
FarDU huzuridagi mintaqaviy markaz, 2026-yil, 20-iyun.
Bizni ijtimoiy tarmoqlarda kuzating.
Telegram | Facebook | Instagram | Youtube
📢 Joriy yilning 20-iyun kuni FarDU huzuridagi mintaqaviy markazida “Ta’lim tizimining transformatsiya jarayonlarida pedagog kadrlar kasbiy salohiyatini malaka oshirish mexanizmi asosida rivojlantirish: muammolar va ularni bartaraf etish yo‘llari” mavzusidagi Respublika ilmiy-amaliy konferensiyasi bo‘lib o‘tdi.
💡 Konferensiya davomida pedagoglarning kasbiy salohiyatini rivojlantirish, sun’iy intellekt imkoniyatlarid…
👍15❤4
Showing the 8 most recent of 8 posts we hold for @bimm_uz. 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.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“bimm.uz” (@bimm_uz), 6,892 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/bimm_uz.
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.