Personal blog — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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
13 measurements spanning 43 days, net -88. 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 2,886–3,000 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 03:36
2,899
-5
14 Sept 2026, 21:17
2,904
-4
11 Sept 2026, 02:01
2,908
-20
5 Sept 2026, 17:19
2,928
-14
1 Sept 2026, 23:45
2,942
-8
30 Aug 2026, 06:27
2,950
-6
24 Aug 2026, 13:02
2,956
-3
21 Aug 2026, 05:12
2,959
-9
17 Aug 2026, 23:08
2,968
-11
14 Aug 2026, 14:34
2,979
-4
10 Aug 2026, 23:43
2,983
-1
7 Aug 2026, 22:58
2,984
-3
7 Aug 2026, 15:01
2,987
first reading
Engagement
11 posts held, back to 12 May 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 2 pages 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 11 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
23s
Average length
12s
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
1,205 reactions across 11 posts, in 18 distinct kinds. The most used accounts for 66.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
804
66.7%
🔥
140
11.6%
😍
83
6.89%
💋
61
5.06%
💘
23
1.91%
👏
22
1.83%
🥰
20
1.66%
🌚
13
1.08%
⚡
8
0.664%
🕊
6
0.498%
😎
6
0.498%
🍓
5
0.415%
🤩
4
0.332%
🎉
3
0.249%
🏆
3
0.249%
🙏
2
0.166%
🐳
1
0.083%
🤝
1
0.083%
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 11 of the 11 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 1,205 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 12 May 2026 to 6 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.
Telegram Stars
Stars received
11
across the posts below
Posts paid on
4
of 11 we hold a reading for · 36%
Most on one post
8
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ruhshonatpenn. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 11 most recent posts we hold for this entry, published 12 May 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Proud sister moment!🥹
My brother, another Sobirov😎, has become a finalist of the FLEX program and will be continuing his education in the US now!
I really wanted to film a reaction video, but I was in the gym on my college campus when we got the news😆 Didn’t want to announce it publicly back then, but now that everything is fully settled, just wanted to share this news with my tg fam here:)
Seeing all the hard work…
I am going to the opening ceremony of the new branch of Satashkent tomorrow. I know many of you guys have a lot of questions you would want to ask me one-to-one, so it will be great opportunity to ask them and meet up tomorrow! See you there!
@ruhshonatpenn
Внимание ‼️ ежегодный КОНКУРС на БЕСПЛАТНОЕ сопровождение ПОСТУПЛЕНИЯ в США от #пашагарвард
Как вы уже наверное знаете, каждый год я бесплатно помогаю ребятам с поступлением в бакалавриат/undergraduate в лучшие 🇺🇸 университеты с ПОЛНЫМ финансированием (full ride) от университетов.
В 2022 году я помог поступить 😳 Варваре в HARVARD, а 😳 Яиру в YALE. Этой весной они уже выпустились! 🎓 С чем их от всей души ПОЗДРАВЛЯЮ!…
Life lately
I’m in my corporate 9 to 6 era.
Pressure at Big Four is real. I barely find time for myself, if not during the weekends. I mean, the only thing I want to do when I go home in the evening after a long day at work is to sleep so I can wake up early to do it all over again😭
That said, I’m actually really enjoying the experience and I have some cool projects I’ve been involved in that I really want to talk…
Pensilvania or Qiziltepa?
Ikkalasini taqqoslab bo’lmiydiyu🙂
Albatta Qiziltepa😉
If you were preparing for college applications for Fall 2027 right now, what’s the one thing you’d make sure to do this summer?
Definitely internship/research experience. And of course essays, don’t forget about the essays, kids, don’t push them to the last weeks of October🤓
Hey, how are you?)
What's your favorite color😁
Hii, I’m great …
1. How do you choose your classes at Penn?
Do they set rules, limits or do you have a capacity to get what you want to study?
2. Can you help me with a economics research?
3. Could you teach students like me? If you could, I would create a Telegram group where Future Economists collaborate to makel Central Asia better place to learn and study?
4. Would you help create and fund a university like UPenn in Uzbekista…
It was a tough semester, but we made it!
I was especially happy to see my grade for math. At UPenn, it’s known for being one of those notoriously difficult classes (3.6/4, not only because of the content itself, but also because of the way the course is structured). At the beginning of the semester, I kept hearing from my upperclassmen friends that the average in previous semesters was around B or B-, and anything i…
what would you suggest to do to those who are applying this year for class of 2031
First things first, stop comparing your application to those of your peers. There might be a lot of brilliant students applying in the same pool as you, but everyone’s background is different. Everyone has a different story to tell. So, be it comparing yourself or just blindly trying to follow what others are doing, it won't help much …
As promised earlier, I’ll be doing “ask me any questions” today. You can send your questions here, and I will start answering them as soon as I get a chance.
t.me/anonaskbot?start=jkd6cyqspw7djn0
And just like that, freshman year officially comes to an end…
The last few weeks have been absolutely wild with all the preparation for finals. I can’t believe I’m an upcoming sophomore already. Feels like just yesterday I came to Penn for the first time - nervous, excited, completely unsure of what was waiting for me ahead.
If someone told my 15-year-old self that my life could change so much in just a year, I pro…
❤🔥141🔥23👏7🥰7🌚4⚡1🍓1💋1
Showing the 11 most recent of 11 posts we hold for @ruhshonatpenn. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Ruhshona Sobirova” (@ruhshonatpenn), 2,899 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ruhshonatpenn.
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.